Prof. Hwa Yaw Tam | Engineering | Best Researcher Award

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Prof. Hwa Yaw Tam | Engineering | Best Researcher Award

Prof. Hwa Yaw Tam at The Hong Kong Polytechnic University , Hong Kong

Prof. Hwa Yaw TAM 🎓🔬, IEEE Life Fellow and OPTICA Fellow, is a visionary in photonics and optical fibre sensing. Currently Chair Professor of Photonics at The Hong Kong Polytechnic University 🇭🇰, he has spearheaded groundbreaking innovations in fibre-optic sensor systems for transportation 🚄, energy ⚡, and medical 👂 applications. With over 800 publications 📚 and 20 patents 🔖, he stands as the second most cited expert in fibre-optic sensing, boasting an H-index of 73. His trailblazing contributions span continents, from Hong Kong’s MTR to the Netherlands and Australia 🌍. A laureate of the Berthold Leibinger Innovationspreis 🏆 and multiple Geneva Invention awards, Prof. Tam’s legacy bridges academia, industry, and public safety. His work has also spun off seven photonics companies 🚀. With unwavering passion and pioneering spirit, Prof. Tam continues to illuminate the future of smart sensing and laser technologies 🔭.

Professional Profile 

🎓 Education

Prof. Hwa Yaw TAM embarked on his academic voyage at The University of Manchester, UK 🇬🇧, earning both his B.Eng in 1985 and Ph.D. in 1989 🎓. His early educational foundations laid the groundwork for a lifelong commitment to photonics and optical engineering. Specializing in electrical and electronic engineering, his doctoral studies fused rigorous theory with hands-on research in laser systems and fibre technologies 🔍. This dual emphasis cultivated a mindset driven by innovation and precision. The UK academic environment, rich in historical scientific achievement, greatly influenced his research ethos 🌐. Prof. Tam’s education not only equipped him with cutting-edge technical knowledge but also instilled in him a vision to translate science into impactful, real-world applications. Today, that foundation continues to echo through his advanced fibre-optic sensor innovations 🔬, standing as a beacon for future generations of engineers and scientists 📘💡.

🏛️ Professional Experience

Prof. Tam’s professional journey spans academia and industry in equal brilliance 🌠. He began his research career at GEC-Marconi Ltd. (London) between 1989–1993, delving into erbium-doped fibre amplifiers and laser systems 💡. He then joined The Hong Kong Polytechnic University in 1993, rising through the ranks from Lecturer to Chair Professor of Photonics. He also served as Head of the Electrical Engineering Department and was the Founding Director of the Photonics Research Centre (2000–2022) 🏫. Presently, he is Associate Director at PolyU’s Photonics Research Institute, spearheading interdisciplinary innovations. Prof. Tam’s work transcends traditional academia—his team has launched seven start-ups, catalyzing photonics-based solutions globally 🚀. His leadership has shaped fibre-optic sensing systems for cities and industries across Asia, Europe, and Australia, turning theoretical breakthroughs into operational systems in railways 🚉, energy grids 🔋, and hospitals 🏥, positioning him as a pivotal force in global smart sensing networks 🌐.

🔬 Research Interest

Prof. Tam’s research orbits around specialty optical fibres tailored for real-world sensor applications 🔍. His core interests span the design and fabrication of advanced fibre-optic systems that serve as digital sentinels in complex infrastructures 🧠. From structural health monitoring (SHM) to real-time railway diagnostics, his innovations help prevent failures before they occur ⚠️. His pioneering optical fibre networks have monitored everything from high-speed trains 🚆 to smart escalators and even cochlear implants for medical precision 👂. By embedding fibre Bragg gratings (FBGs) into intelligent sensing webs, he’s revolutionized predictive maintenance across industries. His group’s work is particularly transformative in railway monitoring, with deployment success stories in Hong Kong, Singapore, and the Netherlands 🌍. Always ahead of the curve, Prof. Tam’s research fuses AI 🤖, photonic engineering, and real-time analytics to create a safer, more connected world through light 🌈 and precision sensing technologies 📈.

🏅 Awards and Honors

Prof. Tam’s achievements are globally celebrated 🏆. In 2025, he won the Special Prize and Gold Medal at Geneva’s Invention Expo for a smart cochlear implant 👂🌟. In 2024, he secured another Gold Medal for lithium-ion battery health monitoring via FBG sensors 🔋. Earlier, in 2022, his intelligent escalator monitoring system earned him yet another Geneva Gold Award 🥇. The Berthold Leibinger Innovationspreis in 2014, among the world’s highest laser tech honors, recognized his work in wavelength-tunable laser sensing for railways 🚄. His team also received the President’s Award for Knowledge Transfer in 2022 at PolyU for creating AI-enhanced optical fibre networks 🌐. Further accolades include a Best Paper finalist at IEEE SENSORS 2016 📃. Each honor underscores Prof. Tam’s deep impact on laser technology, smart sensing, and translational engineering. His consistent award-winning contributions reflect a perfect blend of scientific creativity, societal value, and engineering excellence 💼🔬.

📚 Publications Top Note 

  1. Title: Enhanced Quasi-Distributed Accelerometer Array Based on ϕ-OTDR and Ultraweak Fiber Bragg Grating
    Authors: , , , …
    Year: 2023
    Citations: 6
    Source: IEEE Sensors Journal
    Summary: Proposes an enhanced accelerometer array using phase-sensitive optical time-domain reflectometry (ϕ-OTDR) and ultraweak fiber Bragg gratings for distributed vibration sensing, suitable for applications like structural health monitoring.

  1. Title: Label-Free DNA Detection Using Etched Tilted Bragg Fiber Grating-Based Biosensor
    Authors: , , , …
    Year: 2023
    Citations: 6
    Source: Sensors
    Summary: Describes a label-free biosensor using etched tilted fiber Bragg gratings to detect DNA without the need for fluorescent labels, enhancing sensitivity and simplicity in genetic diagnostics.

  1. Title: Recovery of a Highly Reflective Bragg Grating in DPDS-Doped Polymer Optical Fiber by Thermal Annealing
    Authors: , , , …
    Year: 2023
    Citations: 2
    Source: Optics Letters
    Summary: Demonstrates the recovery of degraded Bragg gratings in doped polymer optical fibers using thermal annealing, showing potential for longer lifespan and reusability in fiber-optic sensors.

  1. Title: Accident Risk Tensor-Specific Covariant Model for Railway Accident Risk Assessment and Prediction
    Authors: , , , …
    Year: 2023
    Citations: 8
    Source: Reliability Engineering and System Safety
    Summary: Introduces a tensor-based statistical model for accurately assessing and predicting accident risks in railway systems by incorporating covariant risk factors.

  1. Title: Polymeric Fiber Sensors for Insertion Forces and Trajectory Determination of Cochlear Implants in Hearing Preservation
    Authors: , , , …
    Year: 2023
    Citations: 10
    Source: Biosensors and Bioelectronics
    Summary: Presents polymeric fiber-optic sensors designed to measure insertion force and trajectory during cochlear implant surgeries, helping to preserve hearing by reducing inner ear trauma.

  1. Title: Miniature Two-Axis Accelerometer Based on Multicore Fiber for Pantograph-Catenary System
    Authors: , , , ,
    Year: 2023
    Citations: 8
    Source: IEEE Transactions on Instrumentation and Measurement
    Summary: Develops a compact fiber-based accelerometer capable of sensing in two axes, tailored for monitoring the dynamics of pantograph-catenary interactions in electric rail systems.

  1. Title: Ultraminiature Optical Fiber-Tip Directly-Printed Plasmonic Biosensors for Label-Free Biodetection
    Authors: , , , …
    Year: 2022
    Citations: 19
    Source: Biosensors and Bioelectronics
    Summary: Describes a highly miniaturized fiber-tip plasmonic biosensor fabricated via direct printing, enabling sensitive and label-free detection of biomolecules at the microscale.

  1. Title: Accelerated Pyro-Catalytic Hydrogen Production Enabled by Plasmonic Local Heating of Au on Pyroelectric BaTiO3 Nanoparticles
    Authors: , , , …
    Year: 2022
    Citations: 83
    Source: Nature Communications
    Summary: Reports a novel hydrogen production method using gold-decorated BaTiO₃ nanoparticles, where plasmonic heating enhances pyro-catalytic activity under mild conditions.

  1. Title: Biomechanical Assessment and Quantification of Femur Healing Process Using Fibre Bragg Grating Strain Sensors
    Authors: , , , …
    Year: 2022
    Citations: 5
    Source: Sensors and Actuators A: Physical
    Summary: Uses fiber Bragg grating strain sensors to monitor and quantify mechanical changes in the femur during bone healing, supporting better postoperative assessment.

  1. Title: Mach-Zehnder Interferometer Based Fiber-Optic Nitrate Sensor
    Authors: , , , ,
    Year: 2022
    Citations: Not listed
    Source: Optics Express
    Summary: Presents a Mach-Zehnder interferometer design using optical fiber for detecting nitrate concentrations in water, aiming at applications in environmental monitoring

🔚 Conclusion 

Prof. Hwa Yaw TAM is more than a scholar—he is a trailblazer in light-based sensing technologies 🌟. His career weaves together pioneering science, practical engineering, and impactful entrepreneurship 🌐. Through over 800 papers, 20 patents, and numerous awards, he has reshaped how the world monitors structural, environmental, and human conditions using optical fibres 💡. His real-world implementations—from monitoring city-wide railways to enabling hearing restoration—demonstrate how research can elevate safety, precision, and quality of life for millions 🌍. He continues to mentor future innovators and drive collaborative photonic research through his leadership roles at PolyU and the Photonics Research Institute. With vision, dedication, and humility, Prof. Tam stands as a guiding light for the global photonics community 🌠. His journey exemplifies how science, when paired with compassion and creativity, becomes a force for building a smarter, safer, and more sustainable world 🔗🌿.

Ai Haiping | Mechanical Engineering | Best Researcher Award

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Assoc. Prof. Dr. Ai Haiping | Mechanical Engineering | Best Researcher Award

Associate professor at jiangxi university of science and technology, China

Dr. Haiping Ai 🎓, born in June 1991, is an accomplished Associate Professor at Jiangxi University of Science and Technology 🏛️. With a Ph.D. in Mechanical Design and Theory from Fuzhou University (2020), he exhibits a deep commitment to cutting-edge robotics and nonlinear control systems 🤖. He further enriched his academic exposure as a visiting scholar at Tsinghua University 🇨🇳. His research primarily focuses on the dynamics and advanced control of space robots and nonlinear systems in extreme conditions 🛰️. Known for his innovative mindset and methodical research approach, Dr. Ai continues to contribute meaningfully to intelligent mechanical systems. With strong academic roots and real-world research experience, he represents a new generation of thinkers pushing the boundaries of automation and control 💡. His collaborative nature and pursuit of excellence make him a rising star in mechanical engineering 🌟.

Professional Profile 

🎓 Education

Dr. Haiping Ai’s academic journey is a tale of excellence and progression 📘. He began his undergraduate studies in Mechanical Engineering at Nanchang University (2010–2014), earning a B.E. degree with solid technical foundations 🔧. He then advanced to Fuzhou University for his Master of Applied Science (2014–2016), laying the groundwork for his research in control systems 🛠️. Passionate about mechanics and intelligent systems, he pursued a Ph.D. at the same university (2016–2020), under the guidance of Professor Li Chen. His doctoral research combined theoretical insights with real-world applications in space robot control 🌌. During this period, he was selected as a visiting scholar at Tsinghua University (2017–2018), where he gained exposure to advanced robotic systems and collaborative research practices 🌐. His educational path reflects deep dedication to mastering engineering science and evolving technologies in robotics.

👨‍🏫 Professional Experience

Dr. Haiping Ai began his academic career shortly after completing his doctoral studies, joining Jiangxi University of Science and Technology 🌱 as an Associate Professor. Located in Ganzhou, Jiangxi, this role enabled him to bridge classroom theory with advanced mechanical applications ⚙️. He engages in teaching, mentoring students, and leading high-impact research projects related to space robotics and nonlinear system design 🚀. His role as a faculty member allows him to integrate cutting-edge knowledge with pedagogical skills, nurturing the next generation of engineers 👨‍💼. With solid grounding in both academia and hands-on research, Dr. Ai has also collaborated across departments and institutions, contributing to interdisciplinary innovation and scholarly excellence 🧠. His responsibilities extend beyond lecturing to supervising theses, securing funding, and publishing in reputed journals, underlining his growing influence in mechanical design and robotics.

🔬 Research Interests

Dr. Ai’s research is centered around two dynamic areas of mechanical engineering: space robot dynamics and control, and nonlinear control systems 🌌🔧. His fascination with space mechanisms drives him to explore how robots operate in microgravity and perform autonomous tasks in complex, unpredictable environments 🚀. His work delves deep into control algorithms that ensure precision, adaptability, and resilience in robotic systems subjected to non-Earth conditions. Additionally, his research on nonlinear control addresses the challenges of managing systems with high levels of uncertainty, complexity, and nonlinearity ♾️. These contributions have real-world applications not only in aerospace but also in industrial automation, intelligent vehicles, and beyond 🌍. Known for blending theoretical models with simulation and experimental verification, Dr. Ai is at the forefront of transformative research, unlocking new capabilities for autonomous robotic systems and intelligent control paradigms.

🏅 Awards and Honors

Dr. Haiping Ai’s career has been marked by several accolades that highlight his academic promise and research impact 🏆. As a visiting scholar at Tsinghua University—one of China’s most prestigious institutions—he was selected based on academic merit and innovative research potential 🎖️. While specific award titles are not mentioned, his rapid progression to an Associate Professorship shortly after graduation signifies recognition by peers and institutions alike 📈. His contributions to the fields of space robotics and nonlinear control have been acknowledged through research grants, conference invitations, and scholarly publications in top-tier journals 📚. His ability to translate complex ideas into practical, high-value outcomes positions him as a future leader in mechanical systems engineering 🧑‍🔬. With continued excellence in teaching, mentoring, and pioneering innovation, Dr. Ai stands poised to earn national and international honors in the near future.

📚 Publications Top Note 

1. Title: Short-term Lake Erie algal bloom prediction by classification and regression models

  • Authors: H. Ai, K. Zhang, J. Sun, H. Zhang

  • Year: 2023

  • Citations: 54

  • Source: Water Research, Volume 232, Article 119710

  • Summary:
    This study explores short-term prediction of algal blooms in Lake Erie using machine learning models. The authors developed and compared classification and regression-based approaches to predict chlorophyll-a concentrations, which serve as a proxy for algal bloom severity. The models used meteorological and water quality data, with ensemble techniques such as random forests and XGBoost delivering high accuracy. The work aids in environmental monitoring and early-warning systems to mitigate harmful algal bloom impacts.

2. Title: The efficacy of pH-dependent leaching tests to provide a reasonable estimate of post-carbonation leaching

  • Authors: H. Ai, K.A. Clavier, B.E. Watts, S.A. Gale, T.G. Townsend

  • Year: 2019

  • Citations: 51

  • Source: Journal of Hazardous Materials, Volume 373, Pages 204–211

  • Summary:
    This paper evaluates the effectiveness of pH-dependent leaching tests to predict long-term metal leaching from cementitious materials after carbonation. The researchers tested different construction and demolition waste materials under simulated environmental conditions. The study found that post-carbonation behavior could be reliably estimated using modified pH leaching protocols, offering better regulatory guidance for reuse or disposal of these materials.

3. Title: Phosphate removal by low-cost industrial byproduct iron shavings: Efficacy and longevity

  • Authors: H. Ai, K. Zhang, C.J. Penn, H. Zhang

  • Year: 2023

  • Citations: 14

  • Source: Water Research, Volume 246, Article 120745

  • Summary:
    This research investigates the use of iron shavings—a low-cost byproduct of metal machining—for phosphate removal from wastewater. Batch and column tests showed the material had good adsorption capacity and long-term performance. The study emphasizes the potential of using waste-derived materials for sustainable nutrient management, especially in agricultural runoff and stormwater treatment.

4. Title: Efficient smartphone-based measurement of phosphorus in water

  • Authors: H. Ai, K. Zhang, H. Zhang

  • Year: 2024

  • Citations: 4

  • Source: Water Research X, Volume 22, Article 100217

  • Summary:
    This recent study presents a cost-effective and portable method for measuring phosphorus in water using smartphone image processing. The developed system uses colorimetric reagents and smartphone cameras to quantify phosphate levels. Calibration with lab-based methods showed high accuracy. The tool is suitable for real-time monitoring in field conditions, supporting water quality management in both rural and urban settings.

✅ Conclusion 

In conclusion, Dr. Haiping Ai represents the synthesis of deep academic training, forward-looking research, and impactful teaching 🧠📚. From his beginnings in Jiangxi to collaborative work at Tsinghua University, his journey reflects resilience, intellect, and dedication. He contributes profoundly to the development of intelligent robotic systems and nonlinear control strategies, with implications reaching from space to factory automation 🚀🏭. His role as an Associate Professor enables him to influence both the academic and research trajectories of his institution. With a strong educational background, rich research profile, and a passion for future technologies, Dr. Ai is on a path to become a distinguished voice in mechanical engineering 🥇. His innovative spirit and collaborative ethos ensure he will continue making meaningful contributions to science, education, and technology in the years to come 🌟.

Lijun Chen | Engineering | Best Researcher Award

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Prof. Lijun Chen | Engineering | Best Researcher Award

Professor at Northeast Electric Power University, China

Professor Lijun Chen is a seasoned academic and applied researcher at Northeast Electric Power University, bringing over three decades of expertise in automation, thermophysical measurement, and power plant monitoring systems. 🚀 With early technical training at Fuji Electric (Japan) and a strong industrial foundation at Dalian Huaying High-Tech Co., he seamlessly bridges theory with real-world application. His scholarly portfolio boasts 50+ journal publications 📚 (with 20+ indexed by EI and others in SCI), and six national invention patents that reflect his innovation-driven mindset. ⚙️ He has led multiple national and provincial projects, combining academic research with industrial consulting to optimize thermal power systems. A Senior Member of the China Metrology Society, his dedication is evident through a career filled with impactful collaborations, cutting-edge research, and enduring contributions to the energy sector. 🔧 His work continues to empower sustainable and efficient energy technologies across China and beyond. 🌏

Professional Profile 

Scopus

🎓 Education

Professor Lijun Chen’s educational journey is deeply rooted in engineering excellence. 🌱 He enhanced his technical knowledge through automation testing training at Fuji Electric, Japan (1991–1992), where he gained exposure to international standards and modern industrial practices. This early international training laid the groundwork for a future in advanced automation and instrumentation. He continued sharpening his skills with hands-on industry experience before entering academia. 📐 His educational pursuits were not just theoretical but focused on practical solutions for real-world problems in power systems. His academic foundation, supplemented by immersive industrial exposure, uniquely positions him as a knowledge leader in thermophysical measurement and energy systems. 🔋 The fusion of global learning and domestic execution in his educational journey symbolizes his balanced and forward-thinking approach to engineering education and research. 📊

👨‍💼 Professional Experience

Professor Chen’s professional voyage is an exemplar of bridging industry with academia. 🏭 From 1995 to 1997, he worked at Dalian Huaying High-Tech Co., developing automation solutions for complex power systems. Following this, from 1997 to 2001, he continued innovating at the Institute of Electronic Engineering Technology, sharpening his expertise in electronic control. Since 2001, he has been a cornerstone of the School of Automation Engineering at Northeast Electric Power University. 🧑‍🏫 There, he has led or collaborated on numerous high-impact projects, integrating research with engineering applications. His leadership in thermal power plant control systems has shaped provincial-level R&D initiatives and academic–industry partnerships. 🧠 His work with national and horizontal industry projects exemplifies how academic insight can directly solve operational challenges in the energy sector. 🔌

🔬 Research Interest

Lijun Chen’s research is centered on cutting-edge thermal measurement and automation in power engineering. 🌡️ His core interests span thermophysical parameter estimation, combustion optimization, and defect detection in high-frequency electromagnetic equipment. 🔎 These focus areas have significant industrial value, particularly in enhancing the efficiency, safety, and reliability of thermal power plants. His work addresses critical challenges in energy management and environmental control, making his innovations especially relevant in the current era of carbon reduction and sustainable engineering. 🌍 Professor Chen’s ability to combine hardware innovation with control algorithms demonstrates his multi-disciplinary reach across automation, electronics, and thermodynamics. His projects often involve both modeling and experimental validation, ensuring practical applicability. 📊 His collaborations with institutes and enterprises are further proof of his commitment to solving industry-grade problems with scientifically sound solutions. ⚛️

🏅 Award and Honor

Throughout his illustrious career, Professor Chen has been recognized with multiple provincial science and technology awards, a testament to the real-world impact of his work. 🏆 His patents—six granted at the national level—underscore his creative contributions to the field of power system automation and thermal engineering. 📜 His consistent participation in government-funded and industry-sponsored projects not only highlights his technical capability but also his leadership in driving research innovation. He is a Senior Member of the China Metrology Society and plays a notable role in the Jilin Province Electrical Engineering Society, reflecting his influence in professional circles. 🤝 His efforts have significantly elevated the performance of thermal power systems, earning him peer recognition and respect. His honors are not just awards—they are reflections of decades of dedicated research, innovation, and service to the field. 🔧💡

📚 Publications Top Note 

1. Title: The Feasibility Study on Pulverized Coal Mass Concentration Measurement in Primary Air of Plant Using Fin Resonant Cavity Sensor
Authors: Hao Xu, Yiguang Yang, Lijun Chen, Hongbin Yu, Junwei Cao
Year: 2024
Type: Conference Paper
Source: IEEE International Instrumentation and Measurement Technology Conference (I2MTC)
Citations: 0 (as of the latest data)
Summary:
This study explores the application of a fin resonant cavity sensor to measure the mass concentration of pulverized coal in the primary air system of power plants. The authors designed and experimentally validated a resonant cavity-based sensor for real-time and high-flow environment monitoring. Results indicate the method’s strong potential for improving combustion efficiency and operational safety in thermal power systems.

2. Title: Research on Finite-Time Consensus of Multi-Agent Systems
Authors: Lijun Chen, Yu Zhang, Yuping Li, Linlin Xia
Year: 2019
Type: Journal Article
Source: Journal of Information Processing Systems (JIPS)
DOI: 10.3745/JIPS.01.0039
Citations: 1 (confirmed from source journal; citation count may vary on other platforms)
Summary:
This paper proposes a novel consensus protocol that enables finite-time convergence in second-order multi-agent systems. By incorporating the gradient of a global cost function into the standard consensus model, the authors enhance coordination speed and robustness among agents. Theoretical analysis using Lyapunov functions, homogeneity theory, and graph theory supports the method’s effectiveness. Simulations demonstrate superior performance in leader–follower scenarios.

✅ Conclusion 

In conclusion, Professor Lijun Chen exemplifies the model of a research-driven innovator and dedicated academic. 📘 With a career spanning research, teaching, consultancy, and invention, he has contributed immensely to the advancement of thermal power automation and measurement systems. His ability to transform theoretical concepts into tangible industrial solutions highlights his value as both a scholar and engineer. 🔬 His multi-patented technologies and SCI-indexed publications reflect a commitment to quality, while his work with industry partners showcases practical relevance. With unwavering focus and passion for thermodynamics, automation, and sustainability, Professor Chen continues to shape the future of smart thermal energy systems in China and beyond. 🌱 His legacy is one of bridging knowledge with innovation, inspiring a new generation of researchers and engineers. 🌟

Sławomir Michalak | Engineering | Industry Impact Award

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Assist. Prof. Dr. Sławomir Michalak | Engineering | Industry Impact Award

Avionics Division Manager at Air Force Institute of Technology, Poland

Prof. Sławomir Michalak, Ph.D., D.Sc. Eng. ✈️, is a distinguished aviation expert whose work bridges academia, defense, and engineering innovation. With decades of experience in avionics systems, aircraft diagnostics, and battlefield electronic warfare systems 🛠️📡, he has led the Avionics Department at the Air Force Institute of Technology since 2001. His pioneering efforts span system integration, reliability assessment, and phonoscopic analysis, influencing modern aviation practices. Michalak is a prolific contributor 📚 with numerous publications and nine recognized implementations. As a mentor and reviewer, he has significantly shaped doctoral and post-doctoral research. He has also educated future aviation professionals 👨‍🏫 at institutions like the Warsaw University of Technology and the SIMP NOT Technical School. Actively involved in national defense research and scientific committees, his legacy resonates across Polish military aviation and beyond 🌍. His commitment to innovation and education makes him a keystone figure in aviation sciences and applied technologies.

Professional Profile 

Orcid

Scopus

🎓 Education 

Dr. Sławomir Michalak’s academic journey 🚀 is deeply rooted in technical aviation sciences, marked by a robust specialization in avionics and aircraft navigation systems. He earned his doctorate in engineering and later achieved the prestigious Doctor of Science (D.Sc.) degree in technical sciences in 2016 🎓, with a concentration on machine construction and operational disciplines. His educational trajectory demonstrates a relentless pursuit of advanced knowledge in complex aircraft systems, enhancing Poland’s aerospace education infrastructure. Moreover, his authorial role in crafting and teaching curricula—especially the subject “Aviation Equipment” approved by Warsaw’s Education Board—reflects a deep commitment to pedagogy. His teaching efforts spanned nearly three decades and included lectures at Warsaw University of Technology’s Faculty of Transport, focusing on Air Navigation 🧭. His foundation in education has not only equipped him with specialized skills but has also enabled him to disseminate that knowledge to future leaders of aviation systems engineering.

💼 Professional Experience 

With an illustrious career spanning over three decades, Prof. Michalak has held pivotal roles that define Poland’s aviation research and development landscape ✈️. Since 2001, he has been the head of the Avionics Department at the Air Force Institute of Technology, where he currently serves as a professor 👨‍🔬. His career is marked by excellence in integrating avionics systems, reliability diagnostics, and designing solutions for modern combat operations, including electronic countermeasures 🛡️. He has played a key advisory role in national aviation safety as a long-standing member of the Aircraft Accident Investigation Board, later incorporated into the State Aviation Accident Investigation Board 🕵️. He also lends expertise to the Polish Academy of Sciences’ Transport Committee. Parallelly, he has served as a reviewer and board member for multiple doctoral/post-doctoral theses, as well as contributing to national defense and R&D projects funded by premier agencies like the National Center for Research and Development 💡.

🔬 Research Interests 

Prof. Michalak’s research interests are deeply embedded in the critical functionalities of advanced aircraft systems, with a core emphasis on avionics integration and optimization 🚁. His scholarly pursuits center on diagnostics, system reliability, and onboard information processing, including phonoscopic and parametric analysis of flight data recorders 📈🔊. He investigates navigation system integrity, real-time data interpretation, and complex multi-sensor integration essential for military reconnaissance and electronic warfare systems. His innovations directly impact aircraft survivability and mission effectiveness in modern combat environments ⚙️. His work also extends to analyzing flight incident data, enhancing aviation safety and post-mission assessments. Furthermore, his involvement in the Electromobility and Autonomous Transport Section reveals his forward-looking vision in adapting aviation technologies to land-based and autonomous platforms 🚗📡. Through interdisciplinary collaborations and defense-funded projects, his research acts as a crucial bridge between theoretical foundations and operational implementation across aviation and defense sectors.

🏅 Awards and Honors 

Though specific award titles are not explicitly listed, Prof. Michalak’s array of achievements reflects a highly decorated academic and technical career 🏆. His recognition stems from the practical impact of nine notable implementation projects that brought real-world improvements in avionics system performance and safety ✨. His invitations to serve on scientific committees, review doctoral works, and lecture at renowned institutions showcase the esteem he holds in academic and defense circles. His prolonged contribution to the Aircraft Accident Investigation Board—spanning eras of structural reorganization—further demonstrates his trusted leadership in critical national aviation oversight roles ✈️. Being part of elite organizations like the Transport Committee of the Polish Academy of Sciences and guiding R&D projects funded by the Ministry of Defense affirms his reputation as a thought leader 🧠. These honors, both formal and implied, are a testament to his sustained excellence and unwavering dedication to enhancing Poland’s aerospace defense and academic frontiers.

📚 Publications Top Note 

1. Power Quality in the Context of Aircraft Operational Safety
Authors: Tomasz Tokarski, Sławomir Michalak, Barbara Kaczmarek, Mariusz Zieja, Tomasz Polus
Year: 2025 (Published April 10)
Journal: Energies
DOI: 10.3390/en18081945
Source: Crossref / MDPI
Summary:
This article investigates how power quality, particularly from Ground Power Units (GPUs), affects aircraft operational safety. It focuses on GPUs used by the Polish Armed Forces and highlights how aging equipment (some over 40 years old) leads to degraded performance in transient conditions, contributing to aircraft unserviceability. The paper proposes diagnostic methodologies in line with Polish military standards and emphasizes the need for modern monitoring systems to ensure power reliability.

2. Selected Problems of Determining Pilot Survival Time in Cold Water after the Aircraft Crash
Authors: Przemysław Stężalski, Sławomir Michalak, Jerzy Borowski
Year: 2025 (Published January 17)
Journal: The Polish Journal of Aviation Medicine, Bioengineering and Psychology
DOI: 10.13174/pjambp.17.12.2024.04
Source: Crossref
Summary:
This research introduces a computational model to estimate pilot survival times in cold water following an aircraft crash. Using a thermodynamic body simulation with nonlinear heat transfer equations, the model accounts for factors such as temperature, body mass, clothing, and body position. The output helps in estimating hypothermia onset and unconsciousness time, aiding in rescue and survival strategy development.

3. The Effect of the Operation Time of the Aircraft Power System on Power Quality in Transient States
Authors: Not explicitly listed (likely includes Tomasz Tokarski and/or Sławomir Michalak)
Year: 2024 (Published March 29)
Journal: Journal of Konbin
DOI: 10.5604/01.3001.0054.4462
Source: Crossref
Summary:
The paper examines how long-term use and aging of aircraft power systems impact power quality, especially during transient events such as engine starts or system switches. It shows that older systems cause higher voltage deviations and fluctuations, compromising avionics performance and reliability. The findings support the importance of upgrading aging infrastructure to maintain operational integrity.

4. The Overview of Ecologic Military and Civilian Power Systems
Authors: Not specified
Year: 2024 (Published March 29)
Journal: Journal of Konbin
DOI: 10.5604/01.3001.0054.4461
Source: Crossref
Summary:
This review paper presents current trends in environmentally friendly power systems used in both civilian and military aviation. It discusses energy-efficient GPU technologies, emission reduction strategies, and renewable energy integration, underlining how ecological considerations are increasingly shaping power system design without sacrificing reliability and performance.

5. The Polish Helmet Mounted Display Systems for Military Helicopters
Author: Sławomir Michalak
Year: 2016 (June)
Conference: 2016 IEEE Metrology for Aerospace (MetroAeroSpace)
DOI: 10.1109/metroaerospace.2016.7573240
Source: Crossref
Summary:
The paper discusses development, features, and performance evaluation of Polish helmet-mounted display systems for military helicopter pilots. It includes metrological approaches for assessing system reliability and precision in dynamic environments.

6. Metrology Tools of Computer Communication Control on Board Military Aircraft
Author: Sławomir Michalak
Year: 2015
Journal: Przeglad Elektrotechniczny
DOI: 10.15199/48.2015.08.13
Source: Scopus / Crossref
Summary:
This article covers the development of metrology tools designed to monitor and control server communications onboard military helicopters. The study emphasizes reliability and diagnostic accuracy in harsh operational environments.

7. AFIT’s Laboratory Test Equipment to Optimise the Integrated Avionics Systems for Polish Military Aircrafts
Author: Sławomir Michalak
Year: 2014 (May)
Conference: 2014 IEEE Metrology for Aerospace (MetroAeroSpace)
DOI: 10.1109/metroaerospace.2014.6865904
Source: Crossref
Summary:
The study describes laboratory instrumentation developed by AFIT to test and optimize avionics systems in Polish military aircraft. It focuses on system integration, fault simulation, and metrological evaluation.

8. AFIT’s Laboratory Test Equipment to Optimise the Integrated Communication Systems for Polish Military Helicopters
Author: Sławomir Michalak
Year: 2014 (May)
Conference: 2014 IEEE Metrology for Aerospace (MetroAeroSpace)
DOI: 10.1109/metroaerospace.2014.6865949
Source: Crossref
Summary:
This paper presents laboratory tools developed for assessing and refining communication systems in military helicopters. The research highlights signal integrity testing and communication protocol validation in simulated airborne conditions.

9. Computer Aided Diagnosis of Technical Condition of the SWLP-1 Helmet Mounted Flight Parameters Display System
Author: Sławomir Michalak
Year: 2014
Journal: Journal of KONBiN
DOI: 10.2478/jok-2014-0025
Source: Crossref
Summary:
The paper introduces a computer-based diagnostic system for evaluating the SWLP-1 helmet display used in flight operations. It supports preventive maintenance through automated fault detection and performance assessment.

10. Nahełmowy System Celowniczy NSC-1 Orion dla Polskich Śmigłowców Wojskowych
Author: Sławomir Michalak
Year: 2013
Journal: Scientific Letters of Rzeszow University of Technology – Mechanics
DOI: 10.7862/rm.2013.30
Source: Crossref
Summary:
This Polish-language article covers the NSC-1 Orion helmet-mounted sighting system, developed for Polish military helicopters. It details its targeting features, integration with aircraft systems, and effectiveness in operational scenarios.

🔚 Conclusion 

Prof. Sławomir Michalak stands out as a trailblazer in aviation science, with his influence permeating research, defense, and education 🌐. His technical command in avionics, experience in accident investigation, and commitment to academic excellence place him among Poland’s most respected aerospace experts 🚀. From developing navigation systems to interpreting flight data and advising national safety boards, his work has safeguarded lives and advanced technologies alike. His three-decade-long dedication to instructing young minds and contributing to global conferences reflects his dual passion for knowledge dissemination and innovation 💬📘. As a visionary integrating evolving avionics with real-time diagnostics and battlefield adaptability, he exemplifies the ideal intersection of theory and application 🛫. With continued contributions to autonomous systems and electromobility, Michalak remains not only a legacy figure in aerospace engineering but also a forward-thinker shaping its future. His professional journey is a compelling blueprint for excellence, innovation, and impactful service 💡🎖️.

Dr. Karinate Okiy | Chemical Engineering | Best Researcher Award

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Dr. Karinate Okiy | Chemical Engineering | Best Researcher Award

PhD graduate at Nnamdi Azikiwe University, Nigeria

Okiy Karinate Valentine is a multifaceted chemical engineer 👨‍🔬 with a rich blend of industrial, academic, and research experience across Nigeria, the UK, France, Portugal, and Luxembourg 🌍. Currently serving as a Principal Engineer at NESREA, Nigeria’s environmental watchdog under the Federal Ministry of Environment, he spearheads environmental monitoring and assessment for chemical and pharmaceutical industries 🌱. Okiy is not just a regulatory expert but also a simulation maestro, well-versed in OpenFOAM, CFD, and process intensification. He has led research at ChreoLab and LuXDEM, modeling complex fluid systems 🔬. Academically crowned with a Ph.D. in Chemical Engineering (2024), M.Phil from Sorbonne 🇫🇷, and M.Sc from the University of Leeds 🇬🇧, he commands deep expertise in thermodynamics, adsorption, and renewable energy systems ⚡. A winner of the 2024 International Innovation Award 🏅, Okiy blends intellect with innovation, global insight with local impact, and theory with practice. A true 21st-century chemical engineer. 🚀

Professional Profile 

Scopus

Orcid

🎓 Education

Okiy’s academic journey reflects his relentless pursuit of knowledge and global academic integration 🌐. He earned a Ph.D. in Chemical Engineering (2024) from Nnamdi Azikiwe University, Nigeria 🎓, achieving a stellar CGPA of 4.91/5.00 and clinching the International Innovation Award 🏆 for his groundbreaking research on heavy metal adsorption using agricultural waste-based activated carbon. His prior qualifications include a Master of Philosophy in Process Engineering from Sorbonne University 🇫🇷, where he explored solar thermochemical fuel production, and an M.Sc. in Advanced Chemical Engineering from the University of Leeds 🇬🇧, where he analyzed extended surface heat transfer. His foundational knowledge was built at the University of Lagos with a B.Sc. in Chemical Engineering. Okiy also holds professional certifications like the Oracle Database Administration (ODBA) and has mastered languages such as French 🇫🇷 and English 🇬🇧. From West Africa to Western Europe, his academic credentials are as diverse as they are distinguished. 🧠📚

🧪 Professional Experience

With over 17 years of robust multidisciplinary experience, Okiy Karinate Valentine has worked across continents and sectors 🌎. He currently holds the post of Principal Engineer at NESREA, where he leads environmental monitoring for Nigeria’s chemical and pharmaceutical sectors 🏭🌱. At ChreoLab (Portugal) and LuXDEM (Luxembourg), he contributed significantly to cutting-edge CFD simulations and mesh preprocessing using C++ and OpenFOAM, tackling complex multiphase reactors 💻. His time at LafargeHolcim saw him overseeing raw mill grinding system operations, while at Warri Refining and Petrochemicals Company, he operated and optimized various refinery units and took part in shutdowns, troubleshooting, and technical evaluations ⚙️🔥. His roles have blended field engineering with high-level computational modeling, always pushing for environmental and process excellence. Okiy’s career bridges regulatory science and industrial performance, reflecting his adaptability, leadership, and commitment to sustainable engineering practices. 🌍👷‍♂️

🔬 Research Interests

Okiy’s research domain spans a futuristic palette of scientific exploration and industrial innovation 🌟. His intellectual compass points toward Environmental Engineering, Process Design, Thermodynamics, and Multiscale Modeling. He is passionate about adsorption technology, particularly using bio-based activated carbons for environmental remediation 🌿. CFD is his playground, as seen in his work on OpenFOAM, COMSOL Multiphysics, and SAFT-γ Mie molecular simulations. His passion also extends to Artificial Intelligence applications in engineering (ANN, ANFIS, GMDH), bridging traditional process modeling with data-driven intelligence 🤖. His expertise in renewable energy, reaction engineering, and mass transfer underscores his commitment to eco-conscious innovation. Whether modeling nanomaterials or simulating conjugate heat transfer, his research is integrative, data-rich, and globally relevant. With tools like MATLAB, HSC Chemistry, and CHEMKIN at his fingertips, Okiy explores engineering problems with both depth and futuristic foresight. 🔍💡

🏆 Awards and Honors

Okiy’s crowning academic achievement is the prestigious 2024 International Innovation Award (IIA) 🥇, honoring his research on heavy metal uptake via agricultural waste-derived activated carbon—a breakthrough in sustainable wastewater treatment 🌿. His academic brilliance has consistently been evident, from securing a Distinction in Ph.D. studies to earning a Merit at the University of Leeds 🇬🇧. He was also a Registered Engineer with COREN (r.20768) since 2011, demonstrating his national-level credibility in professional engineering 🔧. Additionally, his impressive IELTS score of 8.0/9.0 📘 and French language certification (Sorbonne) highlight his linguistic dexterity and adaptability in multicultural settings 🌐. Okiy is a member of AIChE (USA) and the Nigerian Society of Chemical Engineers, reinforcing his global professional network. These accolades are not just testaments to his brilliance, but affirmations of his relentless pursuit of excellence and innovation. 🧠🌟

Publications Top Notes 

📄 Title:

Modeling of Adsorptive Treatment of Lead (II) Ions Contaminated Effluents Using Cashew Nut Shell Alkali Activated Carbon: Batch Kinetic, Isothermal and Thermodynamic Studies

👥 Authors:

  • Karinate Valentine Okiy

  • Joseph Tagbo Nwabanne

  • Chukwuemeka Darlington MaduagwuOUCI

📅 Year:

2024

📚 Journal:

Hybrid AdvancesMDPI

🔗 DOI:

10.1016/j.hybadv.2024.100306

🔍 Citation:

Okiy, K.V., Nwabanne, J.T., & Maduagwu, C.D. (2024). Modeling of Adsorptive Treatment of Lead (II) Ions Contaminated Effluents Using Cashew Nut Shell Alkali Activated Carbon: Batch Kinetic, Isothermal and Thermodynamic Studies. Hybrid Advances, 100306.

🔚 Conclusion

In summation, Okiy Karinate Valentine epitomizes a rare blend of scientific brilliance, hands-on experience, and global exposure 🌍🔬. His professional voyage weaves together regulatory compliance, environmental stewardship, process optimization, and high-end simulation in a cohesive narrative of impact and innovation 💼💡. Whether decoding CFD code in Europe, overseeing refinery operations in Nigeria, or modeling eco-friendly technologies for pollution control, Okiy remains steadfast in addressing real-world engineering challenges with intellect and integrity 🌱. His cross-disciplinary expertise and multicultural education make him not only a formidable engineer but also a global thought leader in sustainable process design. As the world confronts climate change, waste pollution, and energy transitions, professionals like Okiy stand as pillars of the engineering renaissance—a blend of logic, creativity, and purpose. 💪🌐🚀

Dr. K. Lakshmi Prasanna | Engineering | Best Researcher Award

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Dr. K. Lakshmi Prasanna | Engineering | Best Researcher Award

Visiting faculty at Birla Institute of Technology and Science Pilai, India

Dr. K. Lakshmi Prasanna 🎓 is a passionate researcher and academician in the field of High Voltage Engineering, with a strong command over system modeling, fault diagnostics, and parameter estimation using MATLAB/Simulink 🛠️. She brings a unique blend of theoretical insight and hands-on expertise in simulation, optimization, control systems, and signal processing. Her innovative Ph.D. work at BITS Pilani, Hyderabad focused on transformer winding modeling and inter-turn fault diagnostics 🔍, proposing novel, non-intrusive algorithms with real-world applicability. With a foundation in Power Electronics and Electrical Engineering ⚡, she also has teaching experience at multiple esteemed engineering colleges, nurturing minds in core subjects. Driven by curiosity and adaptability, she actively embraces new software tools and collaborative environments 💡. Her professional trajectory reflects a consistent commitment to academic excellence, technical rigor, and transformative innovation in electrical engineering. 🚀

Professional Profile

Orcid

Scopus

Google Scholar

📚 Education

Dr. Lakshmi Prasanna’s educational journey 🌱 reflects a steady and impressive rise through the academic ranks of electrical engineering. Beginning with a remarkable 96.9% in her Higher Secondary 🏫, she pursued her B.Tech in EEE and M.Tech in Power Electronics from JNTUA, scoring 85.1% and 85%, respectively 🎯. Her academic excellence culminated in a Ph.D. in High Voltage Engineering at BITS Pilani, Hyderabad Campus, where she maintained an impressive 8.0 CGPA 📈. Her doctoral thesis delved into cutting-edge research on transformer fault diagnosis and system modeling, placing her at the forefront of innovation in condition monitoring and electrical diagnostics. Throughout her educational path, she has consistently demonstrated not just technical brilliance but also a hunger for knowledge and an ability to bridge theory and application seamlessly 📘⚙️.

👩‍🏫 Professional Experience 

With over a decade of dedicated service in academia and research, Dr. Lakshmi Prasanna has built a versatile and impactful professional portfolio 🧠. Beginning her journey as an Assistant Professor at Rami Reddy Subbarami Reddy Engineering College (2012–2017), she laid her pedagogical foundations teaching essential subjects like Electrical Machines, Circuits, and Power Electronics 🔌. Her journey continued at St. Martin’s Engineering College (2017–2019), where she continued imparting technical knowledge with enthusiasm and clarity. From 2018 to 2025, her role as a Research Assistant at BITS Hyderabad marked a turning point, as she immersed herself in advanced simulation and transformer fault diagnostics 🔬. Beyond teaching, her experience also includes proposal writing, technical documentation using LaTeX, and collaborative interdisciplinary projects, marking her as a well-rounded professional 🌐📝.

🔍 Research Interests 

Dr. Lakshmi Prasanna’s research is deeply rooted in the intelligent modeling of electrical systems, with a spotlight on transformer winding diagnostics, state-space modeling, and parameter estimation using non-intrusive techniques 🧩. Her innovative Ph.D. work proposed the integration of subspace identification and similarity transformations to estimate transformer parameters and detect inter-turn faults purely from terminal measurements ⚙️🔍. Her expertise in MATLAB M-script development, COMSOL Multiphysics simulations, and system optimization reflects a rare proficiency in both simulation and real-world application. Additionally, she is intrigued by control systems, fault-tolerant design, and signal processing, with a strong drive toward creating robust, adaptive models for condition monitoring 🧠📊. Her work directly contributes to the reliability and safety of electrical infrastructure, making her research highly relevant to modern power systems and smart grid innovation 🌐⚡.

🏅 Awards and Honors

Dr. Lakshmi Prasanna’s academic journey is marked by consistently high achievements and academic recognition 🏆. From securing a 96.9% in her HSC to maintaining top scores through her undergraduate and postgraduate studies, her excellence has been evident from the outset 🎓. While formal awards during her doctoral years may not be listed, her selection and continuation at BITS Pilani, one of India’s premier institutions, is a distinction in itself 🌟. Her progression into high-level research projects, including complex simulation and modeling of transformer systems, attests to her recognition within the academic and research community. Her teaching roles across reputed engineering colleges and involvement in technical proposal writing and collaborative research are testaments to her leadership and scholarly respect 🥇. She continues to be acknowledged for her dedication, depth of knowledge, and clarity in delivering technical content.

Publications Top Notes 

1. Terminal-based method for efficient inter-turn fault localization and severity assessment in transformer windings

  • Authors: K. Lakshmi Prasanna, Manoj Samal, Mithun Mondal

  • Year: 2025

  • DOI: 10.1016/j.prime.2025.100982

  • Source: e-Prime – Advances in Electrical Engineering, Electronics and Energy

  • Summary: This study introduces a non-invasive method for identifying and assessing the severity of inter-turn faults in transformer windings using only external terminal measurements. The approach enhances fault detection accuracy without requiring internal access to the transformer.

2. Radial deformation detection and localization in transformer windings: A terminal measured impedance approach

  • Authors: Lakshmi Prasanna Konjeti, Manoj Samal, Mithun Mondal

  • Year: 2025

  • DOI: 10.1016/j.prime.2025.100945

  • Source: e-Prime – Advances in Electrical Engineering, Electronics and Energy

  • Summary: The paper presents a novel, non-invasive method for diagnosing radial deformation faults in transformer windings by analyzing terminal impedance measurements, enabling effective detection and severity assessment based on capacitance changes.

3. A non-iterative analytical approach for estimating series-capacitance in transformer windings solely from terminal measured frequency response data

  • Authors: K. Lakshmi Prasanna, Manoj Samal, Mithun Mondal

  • Year: 2025

  • DOI: 10.1016/j.epsr.2024.111086

  • Source: Electric Power Systems Research

  • Summary: This research proposes a non-iterative analytical method to estimate the series capacitance of transformer windings using only terminal frequency response data, simplifying the estimation process and improving accuracy.

4. Accurate Estimation of Transformer Winding Capacitances and Voltage Distribution Factor Using Driving Point Impedance Measurements

  • Authors: K. Lakshmi Prasanna, Manoj Samal, Mithun Mondal

  • Year: 2024

  • DOI: 10.1109/ACCESS.2024.3460968

  • Source: IEEE Access

  • Summary: The study introduces an innovative methodology for precisely estimating winding capacitances and the voltage distribution factor using driving point impedance measurements, enhancing transformer modeling and analysis.

5. A Symbolic Expression for Computing the Driving Point Impedance and Pole-Zero-Gain of a Transformer from its Winding Parameters

  • Authors: K. Lakshmi Prasanna

  • Year: 2023

  • DOI: 10.1109/INDICON59947.2023.10440729

  • Source: 2023 IEEE 20th India Council International Conference (INDICON)

  • Summary: This paper presents a symbolic expression for computing the driving point impedance and pole-zero-gain of a transformer based on its winding parameters, facilitating efficient analysis of transformer behavior.

6. Analytical computation of driving point impedance in mutually coupled inhomogeneous ladder networks

  • Authors: K. Lakshmi Prasanna, Mithun Mondal

  • Year: 2023

  • DOI: 10.1002/cta.3839

  • Source: International Journal of Circuit Theory and Applications

  • Summary: The research introduces a new approach for computing the driving point impedance of inhomogeneous ladder networks with mutual coupling, enhancing the accuracy of electrical network modeling.

7. Analytical formulas for calculating the electrical characteristics of multiparameter arbitrary configurational homogenous ladder networks

  • Authors: K. Lakshmi Prasanna

  • Year: 2023

  • DOI: 10.1002/cta.3547

  • Source: International Journal of Circuit Theory and Applications

  • Summary: This paper presents generalized analytical formulas for computing the electrical properties of multiparameter arbitrary configuration homogeneous ladder networks, aiding in the design and analysis of complex electrical circuits.

8. Terminal Measurements-Based Series Capacitance Estimation of Power Transformer Windings Using Frequency-Domain Subspace Identification

  • Authors: K. Lakshmi Prasanna, Manoj Samal, Mithun Mondal

  • Year: 2023

  • DOI: 10.1109/TIM.2023.3311074

  • Source: IEEE Transactions on Instrumentation and Measurement

  • Summary: The study proposes a method for estimating the series capacitance of power transformer windings using frequency-domain subspace identification based on terminal measurements, improving the accuracy of transformer diagnostics.

9. Elimination of Mutual Inductances from the State-Space Model of a Transformer Winding’s Ladder Network Using Eigen Decomposition

  • Authors: K. Lakshmi Prasanna

  • Year: 2022

  • DOI: 10.1109/CATCON56237.2022.10077664

  • Source: 2022 IEEE 6th International Conference on Condition Assessment Techniques in Electrical Systems (CATCON)

  • Summary: This paper presents a method to eliminate mutual inductances from the state-space model of a transformer winding’s ladder network using eigen decomposition, simplifying the analysis of transformer dynamics.

10. Internet Of Things (IOT) in Distribution grid using DSTATCOM

  • Authors: K. Lakshmi Prasanna

  • Year: 2019

  • DOI: 10.1109/RDCAPE47089.2019.8979044

  • Source: 2019 3rd International Conference on Recent Developments in Control, Automation & Power Engineering (RDCAPE)

  • Summary: The paper discusses the integration of Internet of Things (IoT) technology with DSTATCOM in distribution grids to improve power factor and enable real-time monitoring, enhancing the efficiency and reliability of power distribution systems.

✅ Conclusion 

In conclusion, Dr. K. Lakshmi Prasanna stands as a beacon of innovation, diligence, and academic integrity in the realm of electrical engineering and high voltage research 🌟. Her journey from a stellar student to a dynamic researcher and dedicated educator is marked by technical excellence, innovative research, and a passion for teaching 🎯. With deep expertise in MATLAB/Simulink, transformer modeling, and non-intrusive diagnostics, she contributes meaningfully to the future of smart and resilient power systems ⚡💻. Her collaborative spirit, adaptability to emerging tools, and constant pursuit of knowledge ensure her continued relevance and impact in the scientific community 📚🚀. As she continues to explore new horizons in diagnostics and system modeling, her work promises to empower more efficient and intelligent energy systems of tomorrow 🔋🔬.

Prof. Dr. Jian Chen | Engineering | Best Researcher Award

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Prof. Dr. Jian Chen | Engineering | Best Researcher Award

Associate Researcher at Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, China

Dr. Jian Chen 🎓, an accomplished Associate Research Fellow at the Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences 🏛️, brings over 20 years of rigorous academic and professional experience. With a steadfast foundation in Communication Engineering and a doctorate in Mechanical and Electrical Engineering, Dr. Chen has contributed extensively to the scientific community 📚. His scholarly portfolio includes 39 academic articles, 3 granted patents 🧠🔧, and active participation as an editorial board member and reviewer for 25 prominent journals, including SCI and EI indexed publications 🌐. His consistent commitment to research, innovation, and peer-review excellence marks him as a dedicated scholar in the field of optics and fine mechanics. His career trajectory is a testimony to persistence, insight, and global scientific collaboration 🌟.

Professional Profile 

ORCID Profile

🎓 Education

Dr. Jian Chen’s academic journey 🌱 began at Jilin University, where he pursued both his Bachelor’s (2001–2005) and Master’s (2005–2007) degrees in Communication Engineering 🛰️. Driven by a passion for applied science, he later obtained his Doctorate in Mechanical and Electrical Engineering from the University of Chinese Academy of Sciences (2011–2014) ⚙️. His studies reflect a rare combination of precision communication systems and multi-disciplinary engineering expertise 🧠. This robust academic progression laid the intellectual groundwork for his future research in optics, electromechanics, and fine instrumentation. The strong theoretical foundations combined with practical insight enabled him to tackle cutting-edge challenges in optics and engineering technologies with a holistic mindset 📘🔬.

🧑‍🔬 Professional Experience

Since 2007, Jian Chen has served as an Associate Research Fellow at the prestigious Changchun Institute of Optics, Fine Mechanics and Physics, CAS 🏢. Over 14 years, he has cultivated deep expertise in electromechanical systems, optical instrumentation, and advanced mechanics 💡. His work is not just academic; it holds tangible value, evidenced by his 3 granted patents 🔍📑. Dr. Chen also stands out as a peer-review gatekeeper—serving on the editorial boards of 25 respected journals, including those indexed by SCI and EI 🧾📖. His research environment fosters both independent innovation and collaborative exploration, positioning him as a central contributor to China’s optics and precision mechanics research domain 🔧🌍.

🔬 Research Interest

Jian Chen’s research interests orbit around the convergence of optics, mechanical design, and electrical systems 🔭⚙️. His studies delve into fine optical mechanics, signal processing, and advanced instrumentation, where accuracy meets innovation 💡🔧. He has a keen focus on integrating communication systems with mechanical-electrical interfaces, aiming to improve efficiency, precision, and reliability across applied research platforms 📡🔍. Through over 39 academic publications and patent filings, he continually addresses real-world problems with scientifically grounded solutions. His passion lies in turning theoretical concepts into functional technologies, especially those impacting optics and information transfer systems 🚀. Dr. Chen’s vision includes pushing boundaries in smart optical devices and advancing China’s high-tech research infrastructure 📈.

🏆 Award and Honor

With a track record of consistent scholarly output, Jian Chen has earned high regard in his field 🌟. His appointment as an Editorial Board Member and reviewer for 25 journals, including SCI and EI indexed ones 🏅📘, speaks volumes about his recognition in the global academic community. This role is both prestigious and demanding, requiring sharp insight, peer leadership, and deep subject-matter expertise 🧠✒️. The successful granting of 3 patents in his field further confirms his inventive spirit and commitment to practical innovation. While specific awards are not listed, the honors bestowed upon him through editorial responsibilities, patents, and research publications reflect a career shaped by excellence, discipline, and global relevance 🧬🕊️.

Publications Top Notes

1. Multihop Anchor-Free Network With Tolerance-Adjustable Measure for Infrared Tiny Target Detection

This paper introduces a multihop anchor-free network designed to detect tiny infrared targets in complex backgrounds. The proposed method employs a tolerance-adjustable measure to enhance detection accuracy without relying on predefined anchor points. This approach improves the detection of small targets that are easily obscured by background noise.

2. A Novel Equivalent Combined Control Architecture for Electro-Optical Equipment: Performance and Robustness

This study proposes a novel equivalent composite control structure for electro-optical equipment. The architecture aims to balance tracking performance and robustness by adjusting the time coefficient of the compensation loop. The paper analyzes the impact of this adjustment on system dynamics, providing insights into optimizing performance without compromising stability.

3. CA-U2-Net: Contour Detection and Attention in U2-Net for Infrared Dim and Small Target Detection

This paper presents CA-U2-Net, an enhanced version of U2-Net tailored for detecting infrared dim and small targets. By integrating contour detection and attention mechanisms, the model achieves a detection rate of 97.17%, maintaining accurate target shapes even in challenging conditions.

4. A POCS Super Resolution Restoration Algorithm Based on BM3D

This research combines the Projection Onto Convex Sets (POCS) method with BM3D filtering to enhance super-resolution image restoration. The approach addresses the noise sensitivity of traditional POCS by incorporating BM3D’s denoising capabilities, resulting in improved restoration quality for low-resolution images affected by various noise types.

🧾 Conclusion

Dr. Jian Chen’s career is a synthesis of academic strength, research innovation, and peer leadership 📚🌟. From earning degrees in communication and electromechanical engineering to publishing influential papers and contributing patented solutions, his journey underscores a rare dedication to the advancement of science and technology 🌐. His service as a reviewer and editor across 25 journals illustrates not only his expertise but also the respect he commands among peers. Jian Chen exemplifies what it means to be a scholar-practitioner—someone who not only explores ideas but also brings them to life 🔬💡. With two decades of impact in optics and mechanical systems, his legacy is both intellectual and tangible, influencing future researchers and technologies across the globe 🌏📈.

Tieliang Zeng | Electrical Engineering | Excellence in Researcher Award

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Mr. Tieliang Zeng | Electrical Engineering | Excellence in Researcher Award

Master’s Degree Candidate at The Electrical Engineering College, Guizhou University, China

Tieliang Zeng, a passionate and emerging researcher, is currently pursuing his master’s degree at the Electrical Engineering College, Guizhou University. With a sharp focus on power electronics, his specialization lies in parameter identification of power electronic converters using digital twin technology 🔧🧠. As part of his academic journey, he has contributed to the Guizhou Provincial Key Technology R&D Program ([2024] General 049) and has successfully published one SCI-indexed paper in an MDPI journal 📄. Though early in his career, Tieliang’s commitment to innovation and technical precision is evident through his focused academic work. His field of study is essential to developing smarter, more efficient power systems 🌐⚡. As a budding scholar with a futuristic vision, he aims to expand his research through collaboration, scientific rigor, and practical application. Zeng is certainly a name to watch in the rapidly evolving domain of intelligent electrical systems and digital modeling technologies. 🚀🔬

Professional Profile

ORCID Profile

🎓 Education 

Tieliang Zeng embarked on his higher education journey with an enduring curiosity for electrical systems and smart technologies ⚡📘. He is currently a master’s degree candidate at the Electrical Engineering College of Guizhou University, one of China’s respected institutions in engineering education. His academic path has been defined by a commitment to technical depth and an interest in bridging physical systems with digital simulations through digital twin frameworks 🖥️🔄. With courses covering power electronics, control systems, and system modeling, Tieliang has built a solid theoretical and practical base to support his research. His continuous engagement with both classroom knowledge and real-world problems reflects his drive to excel academically 🎯📚. He is particularly focused on mastering advanced tools and methods for parameter identification in complex converter systems, which forms the foundation of his graduate thesis and current research endeavors. Tieliang’s academic foundation is both robust and forward-thinking. 🧠🧮

💼 Professional Experience 

As a young professional rooted in academia, Tieliang Zeng has initiated his professional journey through research-intensive roles and scholarly projects 🧑‍🔬🔌. His main involvement lies with the Guizhou Provincial Key Technology R&D Program, where he contributes to solving real-world challenges in power electronics through modeling and parameter extraction techniques 📊🔍. Although he has not yet ventured into large-scale consultancy or industrial projects, his participation in a government-funded initiative is a strong testament to his applied research capabilities. Tieliang’s work often involves digital simulations, hardware experimentation, and analytical evaluations – skills that mirror the evolving demands of modern electrical engineering 🌐🔋. Despite being early in his career, his focused technical contributions and publishing experience underscore his potential to make meaningful impacts in both academic and industrial settings in the near future. He’s actively shaping himself as a future innovator in digital twin-based power systems. 🛠️📈

🔬 Research Interests 

Tieliang Zeng’s research compass is firmly directed toward parameter identification in power electronic converters, a core challenge in creating accurate digital twin models 🔄⚡. His exploration dives deep into understanding the dynamic behavior of power systems and how virtual replicas can be developed to monitor, simulate, and control them in real time 🌍🧪. This specialized interest enables improved performance, predictive maintenance, and enhanced design processes in modern electrical infrastructure. His methodology often blends simulation tools, mathematical modeling, and real-world data analysis to ensure accuracy and adaptability 🧠📐. With the energy sector moving rapidly toward smart and autonomous systems, Tieliang’s work is aligned with the global shift toward digitalization and sustainability 🔋🌱. He is eager to refine these models further, enabling high-efficiency and fault-tolerant systems. By focusing his research within this transformative domain, he contributes to the foundational knowledge necessary for tomorrow’s power solutions. 🧬📡

🏆 Awards and Honors 

While Tieliang Zeng has not formally listed any academic awards or honors as of now, his inclusion in a key provincial R&D project and the successful publication of an SCI-indexed paper reflect a merit-based recognition of his talent and research abilities 🧾🏅. Being part of a selective and competitive government-funded research program is in itself an acknowledgment of his capabilities as a skilled researcher 🎯🎓. These achievements at an early stage signal his potential to receive future distinctions as his academic and professional journey unfolds. His scholarly persistence and contribution to innovative topics like digital twins in power systems are laying the groundwork for academic excellence and institutional accolades. With such a trajectory, awards and honors seem to be only a matter of time. His current achievements already reflect a commendable level of discipline, originality, and technical maturity 🌟📘.

Publications Top Notes

  • Title: Digital Twin-Based Multi-Parameter Coordinated Identification Method for Three-Phase Four-Leg Converter

  • Authors: Tieliang Zeng, et al.

  • Journal: Electronics

  • Year: 2025

  • DOI: 10.3390/electronics14102002

  • ISSN: 2079-9292

  • Source: MDPI – Electronics Journal

Conclusion 

In conclusion, Tieliang Zeng stands as a dedicated and promising figure in the field of electrical engineering, particularly in the niche domain of digital twin-based parameter identification for power converters 🔌🧠. As a master’s student with strong research orientation, he is already contributing to meaningful scientific discourse through government-supported projects and peer-reviewed publications 📚💡. Although at the early stages of his career, his focused efforts, analytical mindset, and technical competence set a solid foundation for impactful research and future innovation. Tieliang’s ambitions clearly resonate with the global move toward smart grid solutions and digital infrastructure, positioning him as a valuable asset to both academia and industry 🌍🔬. His journey reflects the beginning of a career with significant potential, where theory and practical application merge to solve complex power challenges. With continued dedication and collaboration, Tieliang Zeng is poised to advance the next wave of digital electrical technologies. 🚀🔧

Guanqun Li | Engineering | Best Researcher Award

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Dr. Guanqun Li | Engineering | Best Researcher Award

Associate Researcher at Shengli oilfield, SINOPEC, China

Guanqun Li (李冠群), born in May 1994 in Shandong, China 🇨🇳, is an Associate Researcher at Shengli Oilfield Company, SINOPEC 🛢️. He earned his PhD in Oil and Gas Field Development Engineering from China University of Petroleum (East China) 🎓. His work focuses on the microscopic characterization of shale reservoirs and fluid dynamics in oil and gas systems 🔬💧. With numerous publications in top journals like Fuel and Physics of Fluids 📚, he brings innovation to shale oil recovery technologies. Passionate about fractal modeling and fluid imbibition research, Guanqun Li is contributing significantly to modern energy development ⚙️🌍.

Professional Profile:

Scopus

🔹 Education and Experience 

  • 🎓 Sep. 2016 – June 2019: Master’s in Oil and Gas Field Development Engineering, Yangtze University

  • 📚 Sep. 2019 – June 2023: PhD in Oil and Gas Field Development Engineering, China University of Petroleum (East China)

  • 🏢 July 2023 – Present: Associate Researcher, Shengli Oilfield Company, SINOPEC

🔹 Professional Development 

Dr. Guanqun Li 📘 has shown consistent professional growth, moving from academic research to applied industry innovation. His academic journey through Yangtze University and the China University of Petroleum provided a solid foundation in oilfield development ⚒️. At SINOPEC, he applies his expertise in reservoir simulation, fracturing mechanics, and fluid flow modeling 🔬. He actively contributes to peer-reviewed journals and international conferences 🌍. Guanqun continuously develops novel analytical and fractal models for imbibition in shale formations 🌀. His cross-disciplinary collaboration and technical excellence are hallmarks of his evolving career in the energy sector 🚀.

🔹 Research Focus Category 

Guanqun Li’s research centers on unconventional oil and gas recovery, specifically shale oil reservoir characterization and fluid imbibition mechanisms 🛢️💧. His work explores microscale fluid motion, fractal modeling, and productivity analysis in hydraulically fractured formations 🔍📈. He is especially interested in the spontaneous and forced imbibition processes in complex porous media under various boundary conditions 🧪. His models help optimize horizontal well performance and support enhanced oil recovery (EOR) strategies 🧠⚙️. With a clear focus on improving efficiency in volume fracturing and fluid migration mechanisms, his research is highly impactful in modern petroleum engineering 🚧.

🔹 Awards and Honors 

  • 🏅 Interpore Conference Presentation (2020) – Recognized for outstanding research on production enhancement in fractured wells

  • 📖 Multiple First-Author Publications – Published in top journals like Fuel, Physics of Fluids, and Energy & Fuels

  • 🧠 Acknowledged for Innovative Fractal Modeling – In spontaneous/forced imbibition in shale formations

  • 🥇 Highly Cited Review Paper – On EOR techniques in shale oil (Geofluids, 2021)

Publication Top Notes

  • Title: Quantifying lithofacies-dependent imbibition behavior in continental shale oil by fractal modeling: A case study of the gentle slope fault zone, Jiyang DepressionAuthors: Li Guanqun, Peng Yanxia, Yang Yong, Cao Xiaopeng, Su YuliangJournal: Fuel

    Year: 2025

Conclusion

Dr. Guanqun Li stands out as an emerging leader in petroleum reservoir engineering with clear scientific originality, engineering relevance, and a solid record of first-author publications in high-impact journals. His work has contributed meaningfully to advancing the understanding of shale oil imbibition mechanisms and their application in field operations.

Morteza Khorami | Engineering | Best Researcher Award

Published on by Physicist Particle

Assoc. Prof. Dr. Morteza Khorami | Engineering | Best Researcher Award

Associate Professor at Coventry University, United Kingdom

Morteza Khorami 🎓 is a distinguished civil engineer and academic at Coventry University, specializing in structural engineering, sustainable construction materials, and reinforced concrete. With over 20 years of experience 🏗️, he has led research projects on innovative cement composites and green building materials. As a Chartered Engineer (CEng) and Senior Fellow of the Higher Education Academy (SFHEA) 🎖️, he has contributed significantly to academia through teaching, mentoring, and publishing in high-impact journals. His expertise in project management and material innovation makes him a key figure in sustainable infrastructure development. 🌍🏢

Professional Profile:

Orcid

Scopus

Google Scholar

Education & Experience

📚 Education:

💼 Experience:

  • Professor at Coventry University (2015 – Present) 📖🏗️

    • Conducts lectures and supervises research in structural engineering and construction materials.

    • Leads research on innovative materials for sustainable construction.

    • Publishes in high-impact journals and presents at international conferences.

    • Mentors postgraduate students in thesis development and engineering methodologies.

Professional Development

Morteza Khorami is a leading researcher in sustainable construction materials 🏗️🌱, focusing on reinforced concrete, cement composites, and eco-friendly building technologies. As a Chartered Engineer (CEng) 🎖️ and Senior Fellow of the Higher Education Academy (SFHEA) 🏅, he actively promotes innovation in civil engineering. He collaborates with global researchers to advance construction methodologies 🌍 and enhance material durability. His passion for teaching and mentorship 👨‍🏫 has influenced many students in academia and industry. With extensive project management expertise 📊, he integrates cutting-edge research into practical engineering solutions for sustainable infrastructure. 🏢🔬

Research Focus

Morteza Khorami’s research focuses on sustainable and innovative materials in civil engineering 🏗️🌿. His studies explore reinforced concrete durability, cement composites, and eco-friendly alternatives such as waste-based construction materials. He has conducted extensive research on fiber-reinforced cement boards, geopolymer mortars, and corrosion-resistant structures 🔬⚙️. His work contributes to reducing carbon footprints in construction by utilizing materials like scrap tires, bagasse fibers, and nano silica fume 🌎♻️. Through his research, he aims to improve structural resilience and sustainability, making a lasting impact on the construction industry. 🏛️🔍

Awards & Honors

🏅 Chartered Engineer (CEng) – Recognized for professional excellence in engineering.
🎖️ Senior Fellow of the Higher Education Academy (SFHEA) – Prestigious recognition in academia.
🏆 Published over 18 high-impact research papers in leading international journals.
📚 Authored multiple books and book chapters on structural engineering and materials science.
🌍 Presented research at international conferences, influencing global construction methodologies.

Publication Top Notes

  1. Effect of Low-Grade Calcined Clay on the Durability Performance of Blended Cement Mortar

    • Journal: Buildings

    • Publication Date: April 2, 2025

    • DOI: 10.3390/buildings15071159

    • Summary: This study investigates how incorporating low-grade calcined clay influences the durability of blended cement mortar. The research focuses on properties such as compressive strength, porosity, and resistance to chloride penetration.​

  2. Performance of Calcined Impure Kaolinitic Clay as a Partial Substitute for Portland Cement Concrete: A Review

    • Journal: Journal of Composites Science

    • Publication Date: March 21, 2025

    • DOI: 10.3390/jcs9040145

    • Summary: This review examines the viability of using calcined impure kaolinitic clay as a partial replacement for Portland cement. It evaluates the material’s impact on mechanical properties, durability, and environmental benefits.​

  3. Behaviour of Reinforced Concrete Beams Subjected to Corrosion Damage Under Cyclic Loading

    • Journal: Proceedings of the Institution of Civil Engineers – Structures and Buildings

    • Publication Date: March 7, 2025

    • DOI: 10.1680/jstbu.24.00104

    • Summary: This paper explores how corrosion damage affects the performance of reinforced concrete beams under cyclic loading conditions, focusing on changes in load-bearing capacity and structural integrity.​

  4. Development of Fiber Cement Boards Using Recycled Jute Fibers for Building Applications

    • Journal: Journal of Materials in Civil Engineering

    • Publication Date: January 2025

    • DOI: 10.1061/JMCEE7.MTENG-18084

    • Summary: This research focuses on creating fiber cement boards incorporating recycled jute fibers, assessing their mechanical properties, durability, and potential for sustainable building applications.​

  5. Assessment of the Mechanical and Microstructural Performance of Waste Kraft Fibre Reinforced Cement Composite Incorporating Sustainable Eco-Friendly Additives

    • Journal: Buildings

    • Publication Date: August 30, 2024

    • DOI: 10.3390/buildings14092725

    • Summary: This study evaluates the mechanical and microstructural properties of cement composites reinforced with waste kraft fibers and sustainable additives, aiming to enhance performance while promoting eco-friendly construction materials.

Conclusion

Dr. Morteza Khorami’s outstanding contributions to structural engineering, sustainable materials research, and academic leadership make him a highly deserving candidate for the Best Researcher Award. His work has not only advanced scientific knowledge but has also had practical applications in the construction industry, promoting sustainability and innovation.