Prof. Dr. Lijun You | Engineering | Best Researcher Award

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Prof. Dr. Lijun You | Engineering | Best Researcher Award

Professor at South China University of Technology, China

Prof. Lijun You, a leading scholar in food science, currently serves as a professor at the School of Food Science and Engineering, South China University of Technology (SCUT). With over two decades of academic and research engagement, he has carved a specialized niche in polysaccharide science—exploring their degradation pathways, molecular structures, biofunctions, and biomedical applications. His international exposure includes a formative research stint at Cornell University, USA. He has authored more than 160 peer-reviewed publications, garnering over 8,000 citations and achieving an impressive h-index of 53. His investigations span from seaweed-derived polysaccharides to their transformative impact on skin health, inflammation, gut ecology, and wound repair. As department director since 2016 and professor since 2020, he has guided both institutional growth and scientific inquiry. Prof. You’s innovative contributions not only advance polysaccharide-based therapeutics but also position him as a recognized authority in food bioactives and functional biomaterials research.

Professional Profile 

Education

Prof. Lijun You’s educational journey began and flourished at South China University of Technology, where he earned both his bachelor’s (2001–2005) and doctoral degrees (2005–2010) in Food Science. His doctoral research laid a strong foundation for his future exploration of polysaccharides and their multifaceted applications in health and medicine. To complement his domestic training, he expanded his academic horizon internationally by spending a year (2009–2010) at Cornell University, USA, as a non-degree scholar. There, he gained vital exposure to advanced methodologies and interdisciplinary food science paradigms. This combination of strong local grounding and international perspective has deeply informed his research philosophy and academic rigor. His educational path is emblematic of a scholar committed to lifelong learning, cross-border collaboration, and translational research. This fusion of technical depth and global awareness has propelled Prof. You into the forefront of food biochemistry and polysaccharide innovation.

Professional Experience

Prof. Lijun You’s professional ascent within the South China University of Technology is marked by leadership, mentorship, and research excellence. Since joining the School of Food Science and Engineering, he has taken on progressive responsibilities, culminating in his promotion to full professor in 2020. He assumed the role of Department Director of Food Science in 2016, where he continues to oversee academic strategy, curriculum development, and collaborative research initiatives. Prof. You’s administrative acumen complements his scientific pursuits, allowing him to foster a research-driven academic culture within the department. Through his leadership, SCUT’s food science program has gained visibility in polysaccharide research and international academic networks. His career reflects a rare synergy of educator, manager, and innovator—advancing both the scholarly community and institutional reputation. His professional milestones underscore a dedication to excellence, from teaching and mentoring to groundbreaking explorations in bioactive compounds and functional materials.

Research Interests

At the heart of Prof. Lijun You’s scientific mission lies an intense focus on polysaccharides—complex carbohydrates with vast therapeutic potential. His research encompasses four interconnected domains: the controlled degradation of seaweed polysaccharides, detailed analysis of their molecular architecture, the examination of their bioactive roles (notably in anti-photoaging, anti-inflammatory functions, and gut microbiota modulation), and the development of polysaccharide-based hydrogels for biomedical uses like wound healing. His multidisciplinary work bridges food science, biochemistry, pharmacology, and materials engineering, offering insights into the therapeutic potential of natural biopolymers. By decoding structure–function relationships, Prof. You reveals how polysaccharides can serve as nutraceuticals and advanced wound-care agents. His contributions have shaped not just scholarly discourse, but also future prospects in functional foods and regenerative medicine. With over 8,000 citations and a publication record of 166 scientific articles, his research continues to guide the field toward innovative health-promoting solutions grounded in food-derived compounds.

Awards and Honors

While specific awards and honors are not listed, Prof. Lijun You’s distinguished citation metrics—over 8,000 citations and an h-index of 53—stand as testament to his widespread recognition in the global research community. These achievements suggest a strong impact across scientific disciplines, especially within polysaccharide and functional food research. His selection for an international academic exchange at Cornell University indicates peer recognition of his potential early in his career. In addition, his longstanding leadership as department director reflects institutional confidence in his strategic vision and academic leadership. His frequent publication in high-impact journals and sustained research output also imply numerous internal and external acknowledgments. Though formal accolades are not detailed here, Prof. You’s academic footprint and leadership roles highlight a scholar whose work has earned both national and international esteem, reinforcing his role as a key contributor to the advancement of food science and health-related biomaterials.

Publications Top Notes

  • Title: Effect of degree of hydrolysis on the antioxidant activity of loach (Misgurnus anguillicaudatus) protein hydrolysates
    Authors: L. You, M. Zhao, C. Cui, H. Zhao, B. Yang
    Year: 2009
    Citations: 377
    Source: Innovative Food Science & Emerging Technologies, 10(2), 235–240

  • Title: Changes in the antioxidant activity of loach (Misgurnus anguillicaudatus) protein hydrolysates during a simulated gastrointestinal digestion
    Authors: L. You, M. Zhao, J.M. Regenstein, J. Ren
    Year: 2010
    Citations: 365
    Source: Food Chemistry, 120(3), 810–816

  • Title: In vitro antioxidant activity and in vivo anti-fatigue effect of loach (Misgurnus anguillicaudatus) peptides prepared by papain digestion
    Authors: L. You, M. Zhao, J.M. Regenstein, J. Ren
    Year: 2011
    Citations: 363
    Source: Food Chemistry, 124(1), 188–194

  • Title: Optimization for ultrasound extraction of polysaccharides from mulberry fruits with antioxidant and hyperglycemic activity in vitro
    Authors: C. Chen, L.J. You, A.M. Abbasi, X. Fu, R.H. Liu
    Year: 2015
    Citations: 315
    Source: Carbohydrate Polymers, 130, 122–132

  • Title: Purification and identification of antioxidative peptides from loach (Misgurnus anguillicaudatus) protein hydrolysate by consecutive chromatography and electrospray ionization-MS/MS
    Authors: L. You, M. Zhao, J.M. Regenstein, J. Ren
    Year: 2010
    Citations: 257
    Source: Food Research International, 43(4), 1167–1173

  • Title: Transforming insect biomass into consumer wellness foods: A review
    Authors: D. Sun-Waterhouse, G.I.N. Waterhouse, L. You, J. Zhang, Y. Liu, L. Ma, J. Gao, …
    Year: 2016
    Citations: 233
    Source: Food Research International, 89, 129–151

  • Title: Characterization of polysaccharide fractions in mulberry fruit and assessment of their antioxidant and hypoglycemic activities in vitro
    Authors: C. Chen, L.J. You, A.M. Abbasi, X. Fu, R.H. Liu, C. Li
    Year: 2016
    Citations: 221
    Source: Food & Function, 7(1), 530–539

  • Title: Structural characterisation of polysaccharides from Tricholoma matsutake and their antioxidant and antitumour activities
    Authors: L. You, Q. Gao, M. Feng, B. Yang, J. Ren, L. Gu, C. Cui, M. Zhao
    Year: 2013
    Citations: 210
    Source: Food Chemistry, 138(4), 2242–2249

  • Title: Optimization of microwave-assisted extraction of Sargassum thunbergii polysaccharides and its antioxidant and hypoglycemic activities
    Authors: B. Ren, C. Chen, C. Li, X. Fu, L. You, R.H. Liu
    Year: 2017
    Citations: 209
    Source: Carbohydrate Polymers, 173, 192–201

  • Title: Characterization, antioxidant and immunomodulatory activities of polysaccharides from Prunella vulgaris Linn
    Authors: C. Li, Q. Huang, X. Fu, X.J. Yue, R.H. Liu, L.J. You
    Year: 2015
    Citations: 207
    Source: International Journal of Biological Macromolecules, 75, 298–305

Conclusion

Prof. Lijun You represents a dynamic blend of academic excellence, international perspective, and scientific innovation in the realm of food science and engineering. His deep specialization in polysaccharide chemistry and bioactivity has driven meaningful contributions to health sciences, particularly in areas like gut health, skincare, and tissue repair. With a foundation built at SCUT and refined at Cornell, his education and professional pathway reflect global competence and leadership. As a professor and department director, he mentors the next generation of scientists while steering research initiatives with clarity and purpose. His prolific publication record and high citation index underscore a lasting impact on scholarly literature. Though specific awards are not enumerated, the scope and influence of his work stand as accolades in themselves. Prof. You continues to shape the future of functional foods and biopolymer applications, offering innovative solutions that blend traditional knowledge with cutting-edge science.

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 🔗🌿.

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 💡🎖️.

Lei Liu | Engineering | Best Researcher Award

Published on by Physicist Particle

Prof. Lei Liu | Engineering | Best Researcher Award

Professor at Zhejiang University, China

Prof. Liu Lei is a Young Profenications, information theory, and signal processing. Liu received his Ph.D. in Communication and Information Systems from Xidian University and enriched his academic foundation as a visiting scholar at NTU Singapore. His postdoctoral and research appointments span SUTD, CityU Hong Kong, and JAIST Japan. Honored under ZJU’s Hundred Talents Program, he actively leads in editorial and conference roles. With a track record of cutting-edge research, Prof. Liu has authored 39+ high-impact journal articles and continues to influence future innovations in modern channel coding and massive MIMO. 🧠📡

Professional Profile 

🎓 Education

Prof. Liu Lei began his academic journey in 2011 at Xidian University, earning his Ph.D. in Communication and Information System in March 2017. During his doctoral studies, he broadened his expertise with a prestigious exchange opportunity at Nanyang Technological University (NTU), Singapore (2014–2016), where he engaged with globally renowned researchers in the field of Electrical and Electronic Engineering. This international exposure shaped his foundational understanding of statistical signal processing and message-passing algorithms. His academic pursuits combined rigorous theoretical knowledge with practical algorithmic development, laying the groundwork for his future innovations in wireless communication systems and information theory. 📘🌍🎓

💼Experience 

Prof. Liu Lei has cultivated a rich academic career across leading global institutions. He began as a Postdoctoral Research Fellow at SUTD, Singapore (2016–2017), followed by a Research Fellow role at City University of Hong Kong (2017–2019). He then served as Assistant Professor at JAIST, Japan (2019–2023), achieving top research rankings among faculty. Since 2023, he has been a Tenure-Track Young Professor and Doctoral Supervisor at Zhejiang University. His expertise spans message passing, compressed sensing, and channel coding. Prof. Liu has been active in IEEE conferences, serving in key editorial and chairing roles, and is a notable reviewer for top-tier journals. 🌏📚🏫

🏆 Awards & Honors

Prof. Liu Lei has received several prestigious accolades for his research excellence. In 2023, he was honored with the Young Star Award and the Best Poster Award at the 30th Chinese Institute of Electronics Conference on Information Theory (CIEIT), recognizing his impactful contributions to information theory. His dedication to academic rigor earned him the Exemplary Reviewer Award from IEEE Transactions on Communications in 2020, an honor bestowed on less than 2% of reviewers. These distinctions underscore his leadership in developing cutting-edge algorithms and his commitment to advancing wireless communication systems. 🥇🎖️🏅

🔬 Research Focus 

Prof. Liu’s research focuses on the development of high-performance algorithms and theoretical frameworks in wireless communications. His interests include Message Passing Theory, Statistical Signal Processing, Compressed Sensing, Modern Channel Coding, and Information Theory. He is especially noted for innovations in Approximate Message Passing (AMP) and Orthogonal AMP (OAMP) algorithms. His work aims to optimize capacity and performance in massive MIMO, NOMA, and RIS-aided systems. Prof. Liu’s vision integrates theoretical depth with engineering applications, contributing to next-generation communication systems with greater efficiency, robustness, and scalability. 📡📊🔍

🛠️ Skills 

Prof. Liu Lei has extensive expertise in 📶 wireless communication, particularly in emerging technologies such as massive MIMO, NOMA, mmWave, and Integrated Sensing and Communication (ISAC) systems. His work contributes to optimizing spectral efficiency and network reliability in next-generation wireless networks.

In the field of 📐 signal processing, he is highly skilled in compressed sensing and advanced channel estimation techniques, which enhance data recovery and transmission accuracy in complex environments.

His foundation in 📊 information theory is robust, focusing on coding theory, achievable rates, and capacity optimization, all critical to efficient communication system design.

Prof. Liu is also a specialist in 🧮 message passing algorithms, including AMP, OAMP, GAMP, and GVAMP, which he applies to both theoretical models and practical systems.

He leverages 🔗 machine learning tools such as neural networks and variational inference to improve signal decoding.

In addition, he is experienced in 📚 academic publishing and 🧑‍🏫 teaching, mentoring students in both foundational and advanced courses.

📚 Publications Top Note 

  1. Iterative Channel Estimation Using LSE and Sparse Message Passing for MmWave MIMO Systems

    • 🧑‍🤝‍🧑 Authors: C. Huang, L. Liu, C. Yuen, S. Sun

    • 📰 Journal: IEEE Transactions on Signal Processing

    • 🔢 Citations: 161

    • 📅 Year: 2018

  2. Capacity-Achieving MIMO-NOMA: Iterative LMMSE Detection

    • 🧑‍🤝‍🧑 Authors: L. Liu, Y. Chi, C. Yuen, Y.L. Guan, Y. Li

    • 📰 Journal: IEEE Transactions on Signal Processing

    • 🔢 Citations: 151

    • 📅 Year: 2019

  3. User Activity Detection and Channel Estimation for Grant-Free Random Access in LEO Satellite-Enabled IoT

    • 🧑‍🤝‍🧑 Authors: Z. Zhang, Y. Li, C. Huang, Q. Guo, L. Liu, C. Yuen, Y.L. Guan

    • 📰 Journal: IEEE Internet of Things Journal

    • 🔢 Citations: 149

    • 📅 Year: 2020

  4. Gaussian Message Passing for Overloaded Massive MIMO-NOMA

    • 🧑‍🤝‍🧑 Authors: L. Liu, C. Yuen, Y.L. Guan, Y. Li, C. Huang

    • 📰 Journal: IEEE Transactions on Wireless Communications

    • 🔢 Citations: 140

    • 📅 Year: 2019

  5. Convergence Analysis and Assurance for Gaussian Message Passing in Massive MU-MIMO Systems

    • 🧑‍🤝‍🧑 Authors: L. Liu, C. Yuen, Y.L. Guan, Y. Li, Y. Su

    • 📰 Journal: IEEE Transactions on Wireless Communications

    • 🔢 Citations: 108

    • 📅 Year: 2016

  6. Practical MIMO-NOMA: Low Complexity and Capacity-Approaching Solution

    • 🧑‍🤝‍🧑 Authors: Y. Chi, L. Liu, G. Song, C. Yuen, Y.L. Guan, Y. Li

    • 📰 Journal: IEEE Transactions on Wireless Communications

    • 🔢 Citations: 84

    • 📅 Year: 2018

  7. Memory AMP

    • 🧑‍🤝‍🧑 Authors: L. Liu, S. Huang, B.M. Kurkoski

    • 📰 Journal: IEEE Transactions on Information Theory

    • 🔢 Citations: 83

    • 📅 Year: 2022

  8. Orthogonal AMP for Massive Access in Channels with Spatial and Temporal Correlations

    • 🧑‍🤝‍🧑 Authors: Y. Cheng, L. Liu, L. Ping

    • 📰 Journal: IEEE Journal on Selected Areas in Communications

    • 🔢 Citations: 68

    • 📅 Year: 2021

  9. Capacity Optimality of AMP in Coded Systems

    • 🧑‍🤝‍🧑 Authors: L. Liu, C. Liang, J. Ma, L. Ping

    • 📰 Journal: IEEE Transactions on Information Theory

    • 🔢 Citations: 53

    • 📅 Year: 2021

  10. On Orthogonal AMP in Coded Linear Vector Systems

    • 🧑‍🤝‍🧑 Authors: J. Ma, L. Liu, X. Yuan, L. Ping

    • 📰 Journal: IEEE Transactions on Wireless Communications

    • 🔢 Citations: 39

    • 📅 Year: 2019

  11. A New Insight into GAMP and AMP

    • 🧑‍🤝‍🧑 Authors: L. Liu, Y. Li, C. Huang, C. Yuen, Y.L. Guan

    • 📰 Journal: IEEE Transactions on Vehicular Technology

    • 🔢 Citations: 31

    • 📅 Year: 2019

  12. Over-the-Air Implementation of Uplink NOMA

    • 🧑‍🤝‍🧑 Authors: S. Abeywickrama, L. Liu, Y.C. Yuhao, Chi

    • 📰 Conference: IEEE Globecom

    • 🔢 Citations: 31

    • 📅 Year: 2018

  13. Asymptotically Optimal Estimation for Sparse Signal with Arbitrary Distributions

    • 🧑‍🤝‍🧑 Authors: C. Huang, L. Liu, C. Yuen

    • 📰 Journal: IEEE Transactions on Vehicular Technology

    • 🔢 Citations: 28

    • 📅 Year: 2018

🏁 Conclusion

Dr. Lei Liu exemplifies the qualities of a Best Researcher Award recipient: depth in theoretical research, breadth in global experience, and excellence in teaching and mentorship. His leadership roles, prolific output, and rising trajectory within academic and engineering communities make him a model scholar in the communications field. While areas like applied innovation and interdisciplinary expansion offer room for growth, his current achievements already place him at the forefront of his domain.

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

Published on by Physicist Particle

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 🌏📈.

Ehsan Adibnia | Engineering | Best Academic Researcher Award

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Dr. Ehsan Adibnia | Engineering | Best Academic Researcher Award

Dr. Ehsan Adibnia at University of Sistan and Baluchestan, Iran

Dr. Ehsan Adibnia 🎓 is a dedicated academic researcher in electrical engineering ⚡, specializing in cutting-edge fields such as artificial intelligence 🤖, machine learning 📊, deep learning 🧠, nanophotonics 💡, optics 🔬, and plasmonics ✨. He is proficient in Python 🐍, MATLAB 🧮, and Visual Basic, and utilizes simulation tools like Lumerical 📈, COMSOL 🧪, and RSoft 🔧 to drive innovative research. Fluent in English 🇬🇧 and Persian 🇮🇷, Dr. Adibnia contributes to academic conferences and peer-reviewed journals 📚. He is currently pursuing his Ph.D. and actively engaged in interdisciplinary scientific exploration 🌐.

Professional Profile:

Orcid

Scopus

Google Scholar

🔹 Education & Experience 

🎓 Ph.D. in Electrical Engineering – University of Sistan and Baluchestan, Zahedan, Iran (Expected 2025)
🎓 B.S. in Electrical Engineering – University of Sistan and Baluchestan, Zahedan, Iran (2014)
🧑‍💼 Executive Committee Member – 27th Iranian Conference on Optics and Photonics & 13th Conference on Photonic Engineering and Technology
🖋️ Assistant Editor – International Journal (Name not specified)
🔍 Researcher – Actively engaged in interdisciplinary AI & photonics research projects

🔹 Professional Development 

Dr. Ehsan Adibnia continually enhances his professional growth through active participation in conferences 🧑‍🏫, committee leadership 🗂️, and editorial work 📑. He develops algorithms and conducts simulations using advanced tools such as Lumerical 🔬, COMSOL 🧪, and RSoft 💻. His expertise in AI and photonics drives innovative research and collaboration 🌍. He also hones his programming skills in MATLAB 🧮, Python 🐍, and VBA 🧠, ensuring precision in modeling and data analysis. His hands-on knowledge in PLC systems 🤖 and industrial automation makes him versatile across both academic and applied research settings 🏭.

🔹 Research Focus 

Dr. Adibnia’s research focuses on the fusion of artificial intelligence 🤖 and photonics 💡. His work explores machine learning 📊, deep learning 🧠, nanophotonics 🔬, plasmonics ✨, optical switching 🔁, and slow light 🐢 technologies. He is particularly interested in leveraging these technologies in biosensors 🧫, metamaterials 🔷, and quantum optics ⚛️. Through simulation and algorithm development, he aims to optimize performance in optoelectronic and photonic systems 🔍. His interdisciplinary research bridges electrical engineering with physics and AI, creating advanced systems for diagnostics, sensing, and smart environments 🌐.

🔹 Awards & Honors 

🏅 Executive Committee Role – 27th Iranian Conference on Optics and Photonics
🏅 Executive Committee Role – 13th Iranian Conference on Photonic Engineering and Technology
📜 Assistant Editor – International scientific journal (name not specified)
🧠 Scopus-indexed Researcher – Scopus ID: 58485414000

Publication Top Notes

🔹 High-performance and compact photonic crystal channel drop filter using P-shaped ring resonator

  • Journal: Results in Optics

  • Date: Dec 2025

  • DOI: 10.1016/j.rio.2025.100817

  • Summary: Proposes a novel P-shaped ring resonator design for channel drop filters in photonic crystal structures. Focuses on achieving high performance in terms of compactness and spectral selectivity for integrated optical circuits.

🔹 Optimizing Few-Mode Erbium-Doped Fiber Amplifiers for high-capacity optical networks using a multi-objective optimization algorithm

  • Journal: Optical Fiber Technology

  • Date: Sep 2025

  • DOI: 10.1016/j.yofte.2025.104186

  • Summary: Introduces a multi-objective optimization approach for designing few-mode EDFAs, targeting performance improvements in next-gen high-capacity optical networks.

🔹 Inverse design of octagonal plasmonic structure for switching using deep learning

  • Journal: Results in Physics

  • Date: Apr 2025

  • DOI: 10.1016/j.rinp.2025.108197

  • Summary: Utilizes deep learning for the inverse design of an octagonal plasmonic structure used in optical switching, demonstrating enhanced precision and compact design capability.

🔹 Chirped apodized fiber Bragg gratings inverse design via deep learning

  • Journal: Optics & Laser Technology

  • Date: 2025

  • DOI: 10.1016/J.OPTLASTEC.2024.111766

  • WOS UID: WOS:001311493000001

  • Summary: Applies deep learning to the inverse design of chirped apodized fiber Bragg gratings, optimizing the spectral characteristics for filtering and sensing applications.

🔹 Inverse Design of FBG-Based Optical Filters Using Deep Learning: A Hybrid CNN-MLP Approach

  • Journal: Journal of Lightwave Technology

  • Date: 2025

  • DOI: 10.1109/JLT.2025.3534275

  • Summary: Proposes a hybrid CNN-MLP architecture to design fiber Bragg grating (FBG) optical filters, improving accuracy and speed in the inverse design process using deep learning techniques.

Conclusion

Dr. Adibnia is still in the process of completing his Ph.D., his broad technical expertise, multidisciplinary research focus, early academic leadership roles, and active participation in both national and international platforms make him a highly promising candidate for the Best Academic Researcher Award in the early-career researcher or emerging researcher category.

Shirko Faroughi | Engineering | Best Researcher Award

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Prof. Shirko Faroughi | Engineering | Best Researcher Award

Academic at Urmia University of Technoloy, Iran

Dr. Shirko Faroughi, an esteemed Professor of Mechanical Engineering at Urmia University of Technology, Iran, specializes in Computational Mechanics, Isogeometric Analysis, and Finite Element Methods. With a Ph.D. from Iran University of Science and Technology, he has held research positions at KTH University (Sweden), Swansea University (UK), and Bauhaus University Weimar (Germany). His work spans fracture mechanics, machine learning, and 3D printing simulations. As a CICOPS Scholar at the University of Pavia, Italy, Dr. Faroughi actively collaborates on international research projects, contributing significantly to advanced numerical methods. 📚🌍

Professional Profile:

Scopus

Google Scholar

Education & Experience 🎓📜

  • Ph.D. in Mechanical Engineering (2010) – Iran University of Science and Technology 🏛️

  • M.S. in Mechanical Engineering (2005) – Iran University of Science and Technology 🏗️

  • B.S. in Mechanical Engineering (2003) – Tabriz University 🚗

🔹 Academic Roles

  • Professor (2020 – Present) – Urmia University of Technology 👨‍🏫

  • Associate Professor (2015 – 2020) – Urmia University of Technology 🔬

  • Assistant Professor (2011 – 2015) – Urmia University of Technology 📖

  • Visiting Researcher (2008 – 2009) – KTH University, Sweden 🇸🇪

🔹 Administrative & International Positions

  • Dean of Mechanical Engineering Department (2022 – Present) 🏢

  • CICOPS Scholar – University of Pavia, Italy (2022) 🇮🇹

  • Research Collaborator – Swansea University, UK (2015 – Present) 🇬🇧

  • Research Collaborator – New Mexico State University, USA (2016 – Present) 🇺🇸

  • Research Collaborator – Bauhaus University Weimar, Germany (2017 – Present) 🇩🇪

Professional Development 🌍📚

Dr. Shirko Faroughi has made remarkable contributions to mechanical engineering through computational mechanics, finite element analysis, and machine learning. His research advances superconvergent mass and stiffness matrices, isogeometric methods, phase-field methods, and energy harvesting. He also integrates AI-driven techniques to enhance engineering simulations. His collaborations span Europe and the U.S., working with top researchers on thin structures, 3D printing, and structural dynamics. As a department dean and international collaborator, he plays a pivotal role in engineering education and research innovations, fostering global academic partnerships. 🌎💡

Research Focus 🔍🧠

Dr. Faroughi’s research primarily revolves around Computational Mechanics and Advanced Numerical Methods, integrating Artificial Intelligence and Machine Learning for engineering applications. His work focuses on:

  • Superconvergent mass and stiffness matrices 📐🔬

  • Isogeometric and finite element methods 🏗️📊

  • Fracture mechanics and phase-field modeling 🏚️💥

  • Tensegrity structures and energy harvesting ⚡🔩

  • Machine learning and transfer learning in mechanical simulations 🤖📈

  • 3D printing simulations and advanced material modeling 🖨️🧩

His research bridges traditional mechanical engineering with AI and computational techniques, pushing engineering boundaries through innovative numerical simulations. 🚀🔢

Awards & Honors 🏆🎖️

  • CICOPS Scholarship – University of Pavia, Italy (2022) 🇮🇹

  • Visiting Researcher – KTH University, Sweden (2008-2009) 🇸🇪

  • Research Collaborator – Swansea University, UK (2015-Present) 🇬🇧

  • Research Collaborator – Bauhaus University Weimar, Germany (2017-Present) 🇩🇪

  • Research Collaborator – New Mexico State University, USA (2016-Present) 🇺🇸

  • Dean of Mechanical Engineering Department – Urmia University of Technology (2022-Present) 🏛️

  • Multiple Grants for Advanced Computational Mechanics Research 🎓🔍

Publication Top Notes

  1. Wave Propagation in 2D Functionally Graded Porous Rotating Nano-Beams

    • Authors: S. Faroughi, A. Rahmani, M.I. Friswell

    • Published in Applied Mathematical Modelling (2020)

    • Citations: 71

    • Focus: Investigates wave propagation in porous nano-beams using a general nonlocal higher-order beam theory, considering functionally graded materials and rotation effects.

  2. Vibration of 2D Imperfect Functionally Graded Porous Rotating Nanobeams

    • Authors: A. Rahmani, S. Faroughi, M.I. Friswell

    • Published in Mechanical Systems and Signal Processing (2020)

    • Citations: 54

    • Focus: Examines vibration behavior of imperfect functionally graded porous rotating nanobeams based on a generalized nonlocal theory.

  3. Non-linear Dynamic Analysis of Tensegrity Structures Using a Co-Rotational Method

    • Authors: S. Faroughi, H.H. Khodaparast, M.I. Friswell

    • Published in International Journal of Non-Linear Mechanics (2015)

    • Citations: 47

    • Focus: Develops a co-rotational method for analyzing nonlinear dynamics of tensegrity structures.

  4. Physics-Informed Neural Networks for Solute Transport in Heterogeneous Porous Media

    • Authors: S.A. Faroughi, R. Soltanmohammadi, P. Datta, S.K. Mahjour, S. Faroughi

    • Published in Mathematics (2023)

    • Citations: 40

    • Focus: Uses physics-informed neural networks (PINNs) with periodic activation functions to model solute transport in heterogeneous porous media.

  5. Nonlinear Transient Vibration of Viscoelastic Plates Using a NURBS-Based Isogeometric HSDT Approach

    • Authors: E. Shafei, S. Faroughi, T. Rabczuk

    • Published in Computers & Mathematics with Applications (2021)

    • Citations: 30

    • Focus: Investigates nonlinear transient vibrations of viscoelastic plates using an isogeometric high-order shear deformation theory (HSDT) approach.

Mohsen Khatibinia | Structural Control | Best Researcher Award

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Assoc. Prof. Dr. Mohsen Khatibinia | Structural Control | Best Researcher Award

Civil Engineering at University of Birjand, Iran

Mohsen Khatibinia, Ph.D., is an Associate Professor of Civil Engineering at Shahid Bahonar University of Kerman, Iran. With a robust academic background, he has contributed significantly to the field of structural engineering, particularly in optimizing structures for earthquake resilience. His research integrates computational intelligence methods with advanced structural analysis, focusing on performance-based design and soil-structure interaction. Dr. Khatibinia is an experienced educator and a skilled user of advanced engineering software.

Professional Profile

Education

  • Ph.D. in Civil Engineering (Structural Engineering)
    Shahid Bahonar University of Kerman, Iran (2006–2013)
    Dissertation focused on reliability-based optimization of reinforced concrete structures with soil-structure interaction.
  • M.Sc. in Civil Engineering (Structural Engineering)
    Shahid Bahonar University of Kerman, Iran (2002–2004)
    Thesis: Optimal design of space structures using genetic algorithms.
  • B.Sc. in Civil Engineering
    University of Sistan and Baluchestan, Zahedan, Iran (1998–2002).

Professional Experience

Associate Professor, Shahid Bahonar University of Kerman, Iran
Mohsen Khatibinia has extensive academic experience, specializing in teaching undergraduate and graduate courses such as Structural Analysis, Theory of Elasticity, Advanced Engineering Mathematics, and Stability of Structures.

  • Expertise in computational tools including FORTRAN, MATLAB, SAP, ETABS, SAFE, Ansys, and OpenSees.
  • Proficient in developing optimization algorithms and conducting numerical simulations for structural engineering applications.

Research Interest

  • Structural optimization for earthquake-resistant design.
  • Soil-structure interaction and performance-based design.
  • Application of soft computing methods (e.g., genetic algorithms, particle swarm optimization, gravitational search algorithms, hybrid optimization algorithms, fuzzy logic, and neural networks) in structural and earthquake engineering.
  • Seismic reliability assessment and optimization of reinforced concrete and steel structures.

Author Metric

  • Published 12 peer-reviewed journal articles in prestigious journals such as Reliability Engineering & System Safety, Journal of Sound and Vibration, and Engineering Optimization.
  • Presented research at 16 international and national conferences, highlighting advancements in structural and earthquake engineering.
  • Expertise in developing hybrid computational models, with numerous citations in domains of structural optimization and earthquake engineering.

Publications Top Noted

1. Truss Optimization on Shape and Sizing with Frequency Constraints Based on Orthogonal Multi-Gravitational Search Algorithm

  • Authors: m. khatibinia, s.s. naseralavi
  • Journal: Journal of Sound and Vibration, Volume 333, Issue 24, Pages 6349-6369, 2014
  • Citations: 112
  • Abstract:
    This paper introduces an Orthogonal Multi-Gravitational Search Algorithm (OMGSA) for optimizing truss structures in terms of shape and size while satisfying frequency constraints. The approach integrates orthogonal learning and multi-agent search to enhance solution accuracy and convergence speed. The method’s effectiveness is demonstrated through benchmark problems and comparison with existing algorithms.

2. A Hybrid Approach Based on an Improved Gravitational Search Algorithm and Orthogonal Crossover for Optimal Shape Design of Concrete Gravity Dams

  • Authors: m. khatibinia, s. khosravi
  • Journal: Applied Soft Computing, Volume 16, Pages 223-233, 2014
  • Citations: 99
  • Abstract:
    This research presents a hybrid optimization technique combining an Improved Gravitational Search Algorithm (IGSA) with Orthogonal Crossover for the shape optimization of concrete gravity dams. The hybrid method addresses computational challenges in design optimization, yielding high-quality solutions with improved convergence efficiency.

3. RETRACTED: Shear Behaviour of Concrete Beams with Recycled Aggregate and Steel Fibres

  • Authors: h.r. chaboki, m. ghalehnovi, a. karimipour, j. de brito, m. khatibinia
  • Journal: Construction and Building Materials, Volume 204, Pages 809-827, 2019
  • Citations: 95
  • Abstract:
    (Retracted) The study initially examined the shear behavior of concrete beams incorporating recycled aggregates and steel fibers, aiming to explore their structural and sustainability benefits. However, the paper has been retracted, and further details are unavailable or unreliable.

4. Optimizing Parameters of Tuned Mass Damper Subjected to Critical Earthquake

  • Authors: r. kamgar, p. samea, m. khatibinia
  • Journal: The Structural Design of Tall and Special Buildings, Volume 27, Issue 7, Article e1460, 2018
  • Citations: 92
  • Abstract:
    This paper focuses on optimizing the parameters of Tuned Mass Dampers (TMDs) to enhance their performance under critical seismic events. The study utilizes advanced optimization techniques to achieve an optimal balance between cost and efficiency, improving the structural stability of tall buildings.

5. Seismic Reliability Assessment of RC Structures Including Soil–Structure Interaction Using Wavelet Weighted Least Squares Support Vector Machine

  • Authors: m. khatibinia, m.j. fadaee, j. salajegheh, e. salajegheh
  • Journal: Reliability Engineering & System Safety, Volume 110, Pages 22-33, 2013
  • Citations: 92
  • Abstract:
    This study proposes a novel approach using the Wavelet Weighted Least Squares Support Vector Machine (WLS-SVM) model for seismic reliability analysis of reinforced concrete (RC) structures, incorporating the effects of soil-structure interaction (SSI). The method offers a computationally efficient way to assess structural reliability under seismic loading conditions.

Conclusion

Dr. Mohsen Khatibinia is a strong candidate for the Best Researcher Award due to his impactful contributions to structural engineering, particularly in earthquake-resilient design and optimization. His innovative application of computational intelligence and hybrid optimization techniques highlights his expertise and commitment to advancing the field. While addressing the retraction and expanding his collaborative and publication scope could enhance his profile, his achievements make him a deserving nominee for this prestigious recognition.