Prof. Hwa Yaw Tam | Engineering | Best Researcher Award

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 🔗🌿.

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

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 🌏📈.

Farshad Nobakhtkolour | Engineering | Best Researcher Award

Mr. Farshad Nobakhtkolour | Engineering | Best Researcher Award

Researcher at K.N.Toosi University of Technology, Iran

Farshad Nobakht-Kolur 🎓 is a passionate civil engineer specializing in marine structures and offshore renewable energy 🌊⚡. He earned his M.Sc. in Coasts, Ports, and Marine Structures from K. N. Toosi University of Technology and his B.Sc. in Civil Engineering from Shahrood University 🏫. Farshad’s research focuses on floating structures, marine hydrodynamics, and aquaculture engineering 🚢🌱. He has published multiple journal papers and served as a peer reviewer 📚🖋️. A top-ranked student throughout his academic journey 🏆, he continues to contribute actively to the marine engineering community through research, reviews, and professional memberships 🤝.

Professional Profile:

Orcid

Scopus

🔵 Education and Experience 

  • 🎓 M.Sc. in Coasts, Ports, and Marine Structures – K. N. Toosi University of Technology (2016-2019)

  • 🎓 B.Sc. in Civil Engineering – Shahrood University of Technology (2009-2013)

  • 🏫 Diploma in Mathematics and Physics – Bagher-al-Olum High School (2005-2009)

  • 👨‍🏫 Teaching Assistant – Shahrood University of Technology (Statics & Steel Structures Courses)

  • 🧪 Researcher – Published papers in top marine and fluid mechanics journals

  • 📑 Conference Presenter – Marine Industries Conference and academic workshops

🔵 Professional Development 

Farshad Nobakht-Kolur has actively contributed to professional growth through memberships and peer reviewing 🛠️📖. He is a member of the Iranian Coastal and Marine Structural Engineering Association (ICOMSEA) 🌐, and The American Society for Nondestructive Testing (ASNT) 🧪🔍. Farshad has reviewed articles for prestigious journals like Ocean Engineering and Journal of Modern Green Energy ✍️📘. His commitment to continuous learning and sharing knowledge is evident through his workshop presentations, paper publications, and involvement with academic and industrial bodies 🌟. Farshad’s work bridges the gap between theoretical research and real-world marine engineering solutions 🌊🔗.

🔵 Research Focus Category 

Farshad Nobakht-Kolur’s research focus lies in marine and offshore engineering 🌊🔧. His primary interests include floating wind turbines, floating solar islands, offshore renewable energy structures, and aquaculture engineering 🌱⚡. He specializes in fluid-structure interaction, experimental modeling, and numerical simulation 🧪💻. Farshad’s work emphasizes sustainable marine structures like floating seaweed farms and hybrid platforms that support renewable energy production and food security 🌿🔋. Through advanced physical modeling and hydrodynamic analysis, he contributes innovative solutions to the growing demands of the offshore and marine industry 🚢🌍.

🔵 Awards and Honors 

  • 🥇 First rank – Best Graduate M.Sc. Students in Marine Engineering, Iranian Marine Industries Organization, 2022

  • 🥈 Second rank – Top MSc Students in Marine Structure Engineering, 2019

  • 🧠 Top 1% – MSc Entrance Exam of Universities, 2016

  • 🎓 Top 10% – B.Sc. Students in Civil Engineering, 2013

  • 🧠 Top 1% – University Entrance Exam, 2009

  • 🎖️ Top 10 – High School Graduates, 2009

Publication Top Notes

  1. Effects of soft marine fouling on wave-induced forces in floating aquaculture cages: Physical model testing under regular waves

    • Journal: Ocean Engineering

    • Date: October 2021

    • DOI: 10.1016/j.oceaneng.2021.109759

    • Focus: How soft biofouling (like algae and soft marine growth) changes the forces exerted on aquaculture cages when regular waves hit them, using physical model tests.

  2. Hydrodynamic forces in marine-fouled floating aquaculture cages: Physical modelling under irregular waves

    • Journal: Journal of Fluids and Structures

    • Date: August 2021

    • DOI: 10.1016/j.jfluidstructs.2021.103331

    • Focus: Similar to above but testing under irregular waves (more realistic sea conditions), focusing on how fouling affects hydrodynamic forces.

  3. Wave attenuation/build-up around and inside marine fouled floating aquaculture cages under regular wave regimes

    • Journal: Journal of Ocean Engineering and Marine Energy

    • Date: February 24, 2021

    • DOI: 10.1007/s40722-021-00186-y

    • Focus: Investigating wave energy behavior—whether it’s dampened (attenuated) or amplified (build-up)—around/inside fouled cages during regular waves.

  4. Experimental Modelling of Biofouling Effects on the Regular and Irregular Waves Load in Aquaculture Cages

    • Institution: K. N. Toosi University of Technology

    • Type: Dissertation/Thesis

    • Year: 2019

    • DOI: 10.13140/RG.2.2.28208.48644

    • Focus: The early foundational work by Farshad Nobakht-Kolur, focusing on both regular and irregular waves and their loading effects on biofouled cages, likely forming the base for the later journal papers.

Conclusion

Farshad Nobakht-Kolur demonstrates all the qualities of a promising and impactful researcher: scientific excellence, originality, practical application of research, international publication record, and community engagement.
In my opinion, he is a highly suitable and strong candidate for the Best Researcher Award — particularly within the fields of marine structures, offshore engineering, and renewable energy systems.

Ehsan Adibnia | Engineering | Best Academic Researcher Award

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.

Sahar Ghatrehsamani | Engineering | Best Scholar Award

Dr. Sahar Ghatrehsamani | Engineering | Best Scholar Award

Postdoctoral at Isfahan University of Technology, Iran

Dr. Sahar Ghatrehsamani is a passionate mechanical engineer specializing in tribology, with a strong background in machine learning and surface engineering. She earned her Ph.D. in Mechanical Engineering from Isfahan University of Technology (IUT), Iran (2022) and is currently a postdoctoral researcher at IUT, applying AI techniques to predict the tribological behavior of agricultural machinery. With expertise in CAD, FEA, and statistical analysis, she has contributed significantly to teaching, research, and mentoring students. Her work intersects materials science, additive manufacturing, and precision agriculture, making her a versatile and innovative researcher. 🌍🔬

Professional Profile:

Scopus

Google Scholar

Education & Experience

📚 Education:

  • 🎓 Ph.D. in Mechanical Engineering (Tribology) – Isfahan University of Technology, Iran (2017-2022)

  • 🎓 M.Sc. in Mechanical Engineering (Tribology) – Isfahan University of Technology, Iran (2015-2017)

  • 🎓 B.Sc. in Mechanical Engineering (Biosystem) – Shahrekord University, Iran (2009-2013)

🔬 Experience:

  • 🔍 Postdoctoral Researcher – Isfahan University of Technology, Iran (2024-Present)

  • 👩‍🏫 Teaching Experience – Multiple undergraduate courses in mechanical engineering at IUT (2018-Present)

  • 🤝 Co-Advisor – 2 Master’s & 6 Bachelor’s students

Professional Development

Dr. Sahar Ghatrehsamani is dedicated to research, teaching, and innovation in mechanical engineering, particularly in tribology, surface engineering, and AI-driven modeling. She has actively mentored students, guided research projects, and developed expertise in CAD, numerical simulation, and data analysis. Her teaching career at Isfahan University of Technology spans multiple engineering courses, and she has consistently ranked highly in teaching evaluations. Passionate about bridging the gap between mechanical engineering and materials science, she explores new technologies in additive manufacturing and precision agriculture to enhance sustainability and performance. 🚜🛠️

Research Focus

Dr. Sahar Ghatrehsamani’s research spans multiple engineering domains, focusing on:

  • 🏎️ Tribology – Studying friction, wear, and lubrication for various applications

  • 🏭 Surface Engineering – Enhancing material properties for durability and efficiency

  • 🤖 Machine Learning & AI – Applying predictive modeling in tribological behavior and material design

  • 🏗 Mechanical Behavior of Materials – Understanding stress, strain, and failure mechanics

  • 🚜 Precision Agriculture – Developing efficient and smart agricultural machinery

  • 🖨️ Additive Manufacturing – Investigating 3D printing & advanced manufacturing

  • 📊 Data Analysis & Numerical Modeling – Integrating simulation techniques for engineering solutions

Awards & Honors

Teaching Excellence:

  • 🎖️ Ranked 1st in Mechanical Engineering Group (2021)

  • 🏅 Ranked 2nd in College of Engineering (2021)

  • 🏆 Ranked 13th among 569 faculty members at IUT (2021)

Research Contributions:

  • 📜 Published multiple high-impact research papers in tribology and AI modeling

  • 🌍 Contributed to international collaborations in mechanical engineering research

🚀 Her dedication to education, research, and innovation has established her as a rising expert in tribology and machine learning!

Publication Top Notes

  1. On the running-in nature of metallic tribo-components: A review

    • Authors: M.M. Khonsari, S. Ghatrehsamani, S. Akbarzadeh

    • Journal: Wear (Vol. 474, 2021)

    • Citations: 113

    • Summary: A comprehensive review of the running-in phase in metallic tribo-systems, examining the changes in friction, wear, and surface topography over time.

  2. Experimentally verified prediction of friction coefficient and wear rate during running-in dry contact

    • Authors: S. Ghatrehsamani, S. Akbarzadeh, M.M. Khonsari

    • Journal: Tribology International (Vol. 170, 2022)

    • Citations: 41

    • Summary: Experimental validation of predictive models for friction and wear rate during the running-in phase under dry contact conditions.

  3. Experimental and numerical study of the running-in wear coefficient during dry sliding contact

    • Authors: S. Ghatrehsamani, S. Akbarzadeh, M.M. Khonsari

    • Journal: Surface Topography: Metrology and Properties (Vol. 9, Issue 1, 2021)

    • Citations: 25

    • Summary: Investigates the wear coefficient during dry sliding contact using both experimental methods and numerical simulations.

  4. Predicting the wear coefficient and friction coefficient in dry point contact using continuum damage mechanics

    • Authors: S. Ghatrehsamani, S. Akbarzadeh

    • Journal: Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology (2019)

    • Citations: 23

    • Summary: Develops a predictive framework for wear and friction coefficients in dry point contact using continuum damage mechanics.

  5. Application of continuum damage mechanics to predict wear in systems subjected to variable loading

    • Authors: S. Ghatrehsamani, S. Akbarzadeh, M.M. Khonsari

    • Journal: Tribology Letters (Vol. 69, 2021)

    • Citations: 15

    • Summary: Extends continuum damage mechanics principles to predict wear in tribological systems under varying load conditions.

Conclusion

Sahar Ghatrehsamani is a strong candidate for the Best Scholar Award. Her contributions to tribology, AI-driven material predictions, and mechanical behavior research are significant. She excels in both academic and applied research, making notable interdisciplinary advancements. Given her teaching excellence, mentorship, and research output, she is highly deserving of recognition as a leading researcher in her field.

Shirko Faroughi | Engineering | Best Researcher Award

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.

Mahmood Shakiba | Engineering | Best Researcher Award

Assist. Prof. Dr. Mahmood Shakiba | Engineering | Best Researcher Award

Faculty member at Ferdowsi University of Mashhad, Iran

Dr. mahmood shakiba 🇮🇷 is an assistant professor at Ferdowsi University of Mashhad, specializing in petroleum engineering with expertise in hydrocarbon reservoirs and enhanced oil recovery (EOR) 🛢️. He earned his Ph.D. from Amirkabir University of Technology (2020) 🎓, focusing on nano-assisted smart water for sand production control. With extensive experience in CO₂ and H₂ underground storage projects, reservoir characterization, and formation damage remediation, he has held key academic and industrial roles. As a researcher and educator, he has contributed significantly to petroleum engineering, guiding students and leading innovative studies in reservoir engineering and geomechanics 🔬📚.

Professional Profile

Scopus

Google Scholar

Education & Experience

Education 🎓

Ph.D. in Petroleum Engineering (Hydrocarbon Reservoirs), Amirkabir University of Technology (2016-2020)

  • Thesis: Nano-assisted smart water for sand production in unconsolidated sandstone reservoirs.

M.Sc. in Petroleum Engineering (Hydrocarbon Reservoirs), Shiraz University (2012-2014)

  • Thesis: Enhanced oil recovery & CO₂ storage via carbonated water injection.

B.Sc. in Petroleum Engineering (Reservoir Engineering), Shiraz University (2008-2012)

  • Thesis: Simulation of solution gas drive in fractured reservoirs.

Work Experience 🛠️

🔹 Assistant Professor – Ferdowsi University of Mashhad (2023-Present)
🔹 Project Supervisor – Underground CO₂ Storage (2023-Present)
🔹 Researcher – Underground H₂ Storage, RIPI (2023-Present)
🔹 Technical Manager – Upstream Oil Research Center, Sharif University (2020-2022)
🔹 Technical Supervisor – MAPSA Co., Tehran (2019-2020)
🔹 Industrial Consultant – MAPSA Co., Tehran (2019-2020)
🔹 Senior Lab Equipment Designer – MAPSA Co., Tehran (2018-2019)
🔹 Researcher – Advanced EOR Research Center, Shiraz University (2011-2014)

Professional Development 🌟

Dr. mahmood shakiba has significantly contributed to petroleum engineering through teaching, research, and industrial consulting 📖🔬. His expertise spans reservoir engineering, well testing, and gas reservoirs 🚀. At Ferdowsi University, he educates students on reservoir management and maintenance, while leading projects on underground CO₂ and H₂ storage. His industry experience includes technical supervision, reservoir characterization, and EOR techniques 🏭. Dr. shakiba has also played a key role in laboratory equipment design and geomechanical feasibility studies. His dedication to advancing sustainable energy storage and petroleum recovery has established him as a leader in the field 🌍💡.

Research Focus 🔬

Dr. shakiba’s research primarily focuses on enhanced oil recovery (EOR), underground storage of CO₂ and H₂, and reservoir geomechanics 🏗️. His experimental and simulation studies have explored innovative methods for improving oil recovery and mitigating environmental impact 🌱. He has investigated nano-assisted smart water flooding, formation damage remediation, and CO₂ sequestration to optimize hydrocarbon reservoir performance. His geological and geomechanical feasibility studies have contributed to safe underground hydrogen storage ⚡. His work advances sustainable energy solutions while improving oil and gas recovery efficiency for the future 🌍🔋.

Awards & Honors 🏆

🏅 Technical Leadership Award – Upstream Oil Research Center, Sharif University
🏅 Outstanding Research Contribution – Research Institute of Petroleum Industry (RIPI)
🏅 Best Thesis Award – Amirkabir University of Technology (2020)
🏅 Top Researcher Recognition – Shiraz University EOR Research Center
🏅 Best Instructor Award – Ferdowsi University of Mashhad (2023)

Publication Top Notes

  1. Investigation of oil recovery and CO₂ storage during secondary and tertiary injection of carbonated water in an Iranian carbonate oil reservoir

    • Journal of Petroleum Science and Engineering (2016)
    • Citations: 79
    • Examines how carbonated water injection (CWI) enhances oil recovery and CO₂ storage efficiency in carbonate reservoirs under secondary and tertiary injection scenarios.
  2. A mechanistic study of smart water injection in the presence of nanoparticles for sand production control in unconsolidated sandstone reservoirs

    • Journal of Molecular Liquids (2020)
    • Citations: 35
    • Investigates how smart water, combined with nanoparticles, helps mitigate sand production in weakly consolidated sandstone reservoirs while improving oil recovery.
  3. The impact of connate water saturation and salinity on oil recovery and CO₂ storage capacity during carbonated water injection in carbonate rock

    • Chinese Journal of Chemical Engineering (2019)
    • Citations: 29
    • Analyzes how variations in connate water saturation and salinity influence oil displacement efficiency and CO₂ trapping during CWI in carbonate formations.
  4. Effects of type and distribution of clay minerals on the physico-chemical and geomechanical properties of engineered porous rocks

    • Scientific Reports (2023)
    • Citations: 21* (recently published)
    • Studies how different clay minerals affect the structural integrity and chemical behavior of engineered porous rocks, impacting reservoir performance.
  5. An experimental insight into the influence of sand grain size distribution on the petrophysical and geomechanical properties of artificially made sandstones

    • Journal of Petroleum Science and Engineering (2022)
    • Citations: 15
    • Explores the role of sand grain size variations in determining the permeability, porosity, and mechanical strength of artificial sandstone samples.

Zhou Zhiwu | Engineering | Best Researcher Award

Assoc. Prof. Dr. Zhou Zhiwu | Engineering | Best Researcher Award

School of Civil and Environmental Engineering at Hunan University of Science and Engineering, China

Zhou zhiwu, a senior engineer and registered tester, is an associate professor and master’s supervisor at hunan university of science and engineering. he earned his ph.d. in transportation infrastructure and territory from the polytechnic university of valencia (🇪🇸) with top honors, including the UPV Outstanding Doctorate and the 2023 Spanish Outstanding Doctoral Award 🏆. with 15 years in national engineering projects, he has led major constructions, published 28 research papers 📄, and serves as a reviewer for 20 SCI journals. his expertise spans (ancient) bridge monitoring, high-speed railway track optimization, and sustainable structural design.

Professional Profile

Orcid

Scopus

Google Scholar

Education & Experience 🎓👷‍♂️

📚 Education:

  • 🎓 Bachelor’s in Architectural Engineering – Lanzhou Jiaotong University (2000-2004)
  • 🎓 Master’s in Transportation Engineering – Lanzhou Jiaotong University (2013-2016)
  • 🎓 Ph.D. in Transport Infrastructure & Territory – Polytechnic University of Valencia, Spain (2019-2023) 🏅

💼 Work Experience:

  • 🏗 Project Manager – China Railway 15th Bureau Group (2002-2017)
  • 🏢 Chief Engineer – Xinjiang Highway Science & Technology Research Institute (2017-2018)
  • 📖 Full-time Teacher & Leader – Chongqing Public Vocational Transport College (2018-2019)
  • 🔬 Doctor & Associate Researcher – Polytechnic University of Valencia, Spain (2019-2023)
  • 🎓 Associate Professor & Master Supervisor – Hunan University of Science and Engineering (2023-Present)

Professional Development 🚀🔬

Zhou zhiwu is a multidisciplinary researcher and engineer specializing in transportation infrastructure, structural health monitoring, and sustainable development. with over 15 years of experience in large-scale construction projects 🏗, he has contributed to high-speed railways 🚄, highways 🛣, and industrial buildings 🏢. he has led and participated in 11 international and national research projects, collaborated with top institutions, and published extensively in SCI-indexed journals 📚. in addition to research, he is a dedicated educator 📖 and serves as an editorial board member for the American Journal of Environmental Science and Engineering, actively reviewing 148+ research articles.

Research Focus 🔍🏗

Zhou zhiwu’s research lies in transportation engineering, structural monitoring, and sustainable infrastructure:

  • 🏛 (Ancient) Bridge & Building Health Monitoring – Studying structural integrity & durability
  • 🌱 Sustainable Infrastructure – Coupling optimization for large-scale structures
  • 🚄 High-Speed Railway Track Optimization – Preventing track diseases & enhancing efficiency
  • 🏗 Indeterminate Structural Design – Improving extra-large bridge sustainability
  • 🔬 Engineering Project Management – Enhancing efficiency in large-scale construction

his work integrates modern monitoring techniques 📡, advanced materials 🏗, and sustainable engineering 🌱 to enhance long-term infrastructure performance.

Awards & Honors 🏆🎖

  • 🏅 UPV Outstanding Doctorate Award – Polytechnic University of Valencia, Spain
  • 🏆 2023 Spanish Outstanding Doctoral Award – Top honor for doctoral research
  • 🏗 National Engineering Construction Quality Management Award (First Class)
  • 🏆 First-Class Science & Technology Award – China Railway Construction Corporation
  • 🏅 Provincial & Ministerial-Level Awards – Henan Province (Two awards)
  • 🏆 China Civil Engineering Society “National Second Prize”
  • 🎖 Reviewer for 20 SCI Journals – Reviewed 148+ articles

Publication Top Notes

  1. Research on spatial deformation monitoring and numerical coupling of deep foundation pit in soft soil

    • Journal of Building Engineering, 2025.
    • DOI: 10.1016/j.jobe.2024.111636
    • Citation (APA):
      Author(s). (2025). Research on spatial deformation monitoring and numerical coupling of deep foundation pit in soft soil. Journal of Building Engineering, XX, 111636.
  2. Three-dimensional finite element-coupled optimisation assessment of extra-large bridges

    • Structures, 2024.
    • DOI: 10.1016/j.istruc.2024.107743
    • Citation (APA):
      Author(s). (2024). Three-dimensional finite element-coupled optimisation assessment of extra-large bridges. Structures, XX, 107743.
  3. Research on coupling optimization of carbon emissions and carbon leakage in international construction projects

    • Scientific Reports, 2024.
    • DOI: 10.1038/s41598-024-59531-4
    • Citation (APA):
      Zhou, Z. (2024). Research on coupling optimization of carbon emissions and carbon leakage in international construction projects. Scientific Reports, XX, 59531. Building the future: Smart concrete as a key element in next-generation construction
    • Construction and Building Materials, 2024.
    • DOI: 10.1016/j.conbuildmat.2024.136364
    • Citation (APA):
      Zhou, Z. (2024). Building the future: Smart concrete as a key element in next-generation construction. Construction and Building Materials, XX, 136364.
  4. The centennial sustainable assessment of regional construction industry under the multidisciplinary coupling model

    • Sustainable Cities and Society, 2024.
    • DOI: 10.1016/j.scs.2024.105201
    • Citation (APA):
      Author(s). (2024). The centennial sustainable assessment of regional construction industry under the multidisciplinary coupling model. Sustainable Cities and Society, XX, 105201.

Shakil Ahmed | Engineering | Best Researcher Award

Prof. Shakil Ahmed | Engineering | Best Researcher Award

Assistant Processor, Term at Iowa State University, United States

Shakil Ahmed is an Assistant Teaching Professor in Computer Engineering at Iowa State University (ISU), specializing in AI/ML, cybersecurity, IoT, cloud computing, and advanced networking. With a Ph.D. in Computer Engineering from ISU (2023) and over 2,000 citations across 35+ publications, he leads cutting-edge research on AI-driven solutions, digital twins, and quantum networks. As a principal investigator (PI), he mentors undergraduate, MS, and Ph.D. students while actively securing external grants. His expertise spans reinforcement learning, large language models, explainable AI, and meta-learning, contributing to pioneering advancements in next-gen networking and intelligent systems. 🚀🔍

Professional Profile

Education & Experience 📚👨‍🏫

  • Ph.D. in Computer Engineering – Iowa State University (2023) 🎓
  • M.S. in Electrical Engineering – Utah State University (2019) ⚡
  • B.S. in Electrical and Electronic Engineering – Khulna University of Engineering & Technology, Bangladesh (2014) 🏅
  • Assistant Teaching Professor – Iowa State University (2024–Present) 🎓
  • Researcher & PI – Leading projects on AI, 6G, cybersecurity, IoT, and digital twins 🔬
  • Advisor & Mentor – Supervising undergraduate, MS, and Ph.D. students in advanced networking and AI 🧑‍🎓

Professional Development 📈🧠

Shakil Ahmed actively contributes to AI-driven networking, secure systems, and IoT advancements. He plays a vital role in research funding, securing grants exceeding millions of dollars. As a guest editor at MDPI and reviewer for 150+ articles, he ensures high research standards. His teaching experience spans multiple STEM courses, where he integrates hands-on learning tools like Zybooks and Canvas. He has delivered invited talks on next-gen wireless technologies and collaborates with multidisciplinary teams to shape the future of AI, cloud computing, and quantum networking. His work has significantly impacted academia, research, and industry. 🚀🔬📡

Research Focus 🏆🔍

Shakil Ahmed’s research is at the intersection of AI, networking, and cybersecurity, with a focus on:

  • AI/ML & Deep Learning – Reinforcement Learning (RL), Large Language Models (LLM), Explainable AI (XAI) 🤖
  • Cybersecurity & Quantum Networking – Secure network protocols, quantum neural networks (QNN) 🔒
  • IoT & Cloud Computing – System design for connected environments, mobile edge computing ☁️
  • Digital Twin & 6G+ Networks – AI-driven tactile internet, smart infrastructure, and futuristic networking 🌍📡
    His work integrates cutting-edge AI techniques, optimization frameworks, and network simulations to solve real-world challenges.

Awards & Honors 🏅🎖️

  • Professional Development Fund – Iowa State University ($10,000) 💰
  • Presidential Fellowship – Utah State University ($90,000) 🏆
  • Best Paper Award – IEEE International Conference on Informatics, Electronics, and Vision (2016) 🥇
  • Graduate & Professional Student Senate Research Award – ISU ($700) 📜
  • ECpE Department Support Grant – ISU ($600) 🎓
  • Professional Advancement Grant (PAG) – ISU ($400) 🎖️
  • Military Communications Conference Student Travel Grants – 2021 & 2022 ($1,000) ✈️
  • Graduate & Professional Student Council Grant – ISU ($750) 🏅
  • ECE Department Support Grant – Utah State University ($1,000) 🏆

Publication Top Notes

  1. 6G Wireless Communication Systems: Applications, Requirements, Technologies, Challenges, and Research Directions

    • Authors: Mostafa Zaman Chowdhury, Md. Shahjalal, Shakil Ahmed, Yeong Min Jang
    • Journal: IEEE Open Journal of the Communications Society
    • Year: 2020
    • Citation: Chowdhury, M. Z., Shahjalal, M., Ahmed, S., & Jang, Y. M. (2020). 6G Wireless Communication Systems: Applications, Requirements, Technologies, Challenges, and Research Directions. IEEE Open Journal of the Communications Society, 1, 957–975.
  2. Energy-Efficient UAV-to-User Scheduling to Maximize Throughput in Wireless Networks

    • Authors: Shakil Ahmed, Mostafa Zaman Chowdhury, Yeong Min Jang
    • Journal: IEEE Access
    • Year: 2020
    • Citation: Ahmed, S., Chowdhury, M. Z., & Jang, Y. M. (2020). Energy-Efficient UAV-to-User Scheduling to Maximize Throughput in Wireless Networks. IEEE Access, 8, 21215–21225.
  3. Energy-Efficient UAV Relaying Communications to Serve Ground Nodes

    • Authors: Shakil Ahmed, Mostafa Zaman Chowdhury, Yeong Min Jang
    • Journal: IEEE Communications Letters
    • Year: 2020
    • Citation: Ahmed, S., Chowdhury, M. Z., & Jang, Y. M. (2020). Energy-Efficient UAV Relaying Communications to Serve Ground Nodes. IEEE Communications Letters, 24(4), 849–852.
  4. Non-Orthogonal Multiple Access in a mmWave Based IoT Wireless System with SWIPT

    • Authors: Hao Sun, Qiang Wang, Shakil Ahmed, Rose Hu
    • Conference: IEEE Vehicular Technology Conference (VTC Spring)
    • Year: 2017
    • Citation: Sun, H., Wang, Q., Ahmed, S., & Hu, R. (2017). Non-Orthogonal Multiple Access in a mmWave Based IoT Wireless System with SWIPT. In 2017 IEEE 85th Vehicular Technology Conference (VTC Spring) (pp. 1–5).
  5. A Disaster Response Framework Based on IoT and D2D Communication Under 5G Network Technology

    • Authors: Shakil Ahmed, Md Rashid, Farzana Alam, B. Fakhruddin
    • Conference: 2019 29th International Telecommunication Networks and Applications Conference (ITNAC)
    • Year: 2019
    • Citation: Ahmed, S., Rashid, M., Alam, F., & Fakhruddin, B. (2019). A Disaster Response Framework Based on IoT and D2D Communication Under 5G Network Technology. In 2019 29th International Telecommunication Networks and Applications Conference (ITNAC) (pp. 20–25).

 

Yun TIAN | | Engineering | Best Researcher Award

Dr. Yun TIAN | Engineering | Best Researcher Award

Lecture at Shaoxing University, China

Dr. Yun Tian is a dedicated researcher and lecturer at Shaoxing University, China. She earned her PhD from the Institute of Rock and Soil Mechanics at the Chinese Academy of Sciences. Renowned for her innovative contributions to geotechnical engineering, Dr. Tian focuses on deformation and failure mechanisms in soft rock tunnels, along with the development of yielding support technologies. She has published extensively in internationally recognized journals and has served as a reviewer for top-tier publications like Journal of Rock Mechanics and Geotechnical Engineering. Her work bridges academia and industry, evident in her numerous research projects and collaborations. Dr. Tian is also an active member of esteemed professional organizations, including the Chinese Society for Rock Mechanics and Engineering (CSRME).

Professional Profile

Education

Dr. Tian completed her undergraduate studies in China before earning her PhD from the Chinese Academy of Sciences, a globally recognized institution for scientific research. Her doctoral studies were rooted in rock and soil mechanics, where she explored experimental and numerical methods to address large deformation challenges in geotechnical engineering. Her advanced training in utilizing innovative technologies like 3D printing for experimental research further distinguishes her academic journey, emphasizing a commitment to groundbreaking methodologies and real-world applications.

Professional Experience

Currently a lecturer at Shaoxing University, Dr. Tian has successfully led eight major research projects, securing competitive funding from the National Natural Science Foundation of China and the Zhejiang Provincial Postdoctoral Science Foundation. She has also collaborated with the Technical University of Munich, exemplifying her capacity for fostering international academic partnerships. Her consultancy work on six industry projects underscores her ability to translate research into practical solutions, bridging the gap between theoretical insights and engineering applications.

Research Interests

Dr. Tian’s research focuses on geotechnical engineering, particularly the deformation and failure mechanisms of soft rock tunnels. She has pioneered the use of 3D-printing sand core technology to simulate rock-like specimens, offering a novel method to study layered rock deformation and anisotropic behaviors. Her interests extend to the application of porous geopolymers, digital imaging correlation technology, and energy absorption mechanisms for large deformation engineering. These studies have profound implications for tunnel engineering and the design of yielding support systems, providing innovative solutions to longstanding challenges.

Awards and Honors

Dr. Tian has received numerous accolades for her groundbreaking work in geotechnical engineering. Notable awards include funding from the prestigious National Natural Science Foundation of China and the Zhejiang Provincial Postdoctoral Science Foundation. Her innovative methodologies have garnered recognition within academic and industrial circles, cementing her reputation as a leader in her field. Additionally, her roles as a reviewer for renowned journals highlight her contributions to advancing the geotechnical discipline and fostering a culture of academic excellence.

Conclusion

Dr. Yun Tian’s innovative research, impactful publications, and international collaborations make her a strong contender for the Best Researcher Award. Addressing the aforementioned areas for improvement would enhance her profile further and solidify her standing as a leader in geotechnical engineering research.

Publications Top Noted

  • Wu, F., Wan, W., Tian, Y., Yang, Y., Yang, B.
    • Year: 2025
    • Title: Analysis of Deformation Characteristics of Layered Rock Tunnel Excavation Based on Statistical Mechanics of Rock Masses
    • Journal: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
    • Citations: 0
  • Shu, X., Chen, W., Qiu, X., Wu, G., Tian, Y.
    • Year: 2024
    • Title: Anchorage Mechanism and Parametric Analysis of a Novel Interface-Shear-Stress-Dispersing Bolt
    • Journal: Tunnelling and Underground Space Technology
    • Citations: 1
  • Tian, Y., Chen, W., Tian, H., He, L., Huang, M.
    • Year: 2024
    • Title: Physical Model Test and Application of 3D Printing Rock-Like Specimens to Laminated Rock Tunnels
    • Journal: Journal of Rock Mechanics and Geotechnical Engineering
    • Citations: 0
  • Shu, X.-Y., Tian, H.-M., Chen, W.-Z., Zhang, C.-X., Zhang, T.
    • Year: 2024
    • Title: Optimization of Design Parameters for Support Scheme of a High Compression Cushioning Layer in a Diversion Tunnel
    • Journal: Yantu Lixue/Rock and Soil Mechanics
    • Citations: 0
  • Tian, H., Shu, X., Chen, W., Yang, D., Tian, Y.
    • Year: 2024
    • Title: Impact of Structural Anisotropy on Compressive Creep Behaviors of Composite Rocks Based on Digital Image Correlation Technology
    • Journal: Bulletin of Engineering Geology and the Environment
    • Citations: 0
  • Shu, X., Zhu, Z., Li, A., Tian, Y.
    • Year: 2024
    • Title: Stress Analysis of Full-Length Bond Bolt Considering Shear Deformation of Grouting Layer
    • Journal: Chinese Journal of Underground Space and Engineering
    • Citations: 0
  • Tian, Y., Wu, F., He, L., Huang, M., Chen, W.
    • Year: 2023
    • Title: Investigation of 3D Printing Sand Core Technology on the Mechanical Behaviors of Soft-Hard Interbedded Rock Masses
    • Journal: Journal of Materials in Civil Engineering
    • Citations: 3
  • Shu, X., Tian, H., Chen, W., Tian, Y., Li, Z.
    • Year: 2023
    • Title: Model Tests for Deformation and Failure Characteristics During Layered Soft Rock Tunnel Excavation Under Different Horizontal Stress Conditions
    • Journal: Yanshilixue Yu Gongcheng Xuebao/Chinese Journal of Rock Mechanics and Engineering
    • Citations: 3
  • Zeng, H., Qu, S., Tian, Y., Hu, Y., Li, Y.
    • Year: 2023
    • Title: Recent Progress on Graphene Oxide for Next-Generation Concrete: Characterizations, Applications and Challenges
    • Journal: Journal of Building Engineering
    • Citations: 33
  • Zhu, Z.-D., Shu, X.-Y., Li, Z., Tian, H.-M., Tian, Y.
    • Year: 2023
    • Title: Erratum to: Stress Analysis of Full-Length Grouted Bolt Under Shear Deformation of Anchor Interface
    • Journal: Journal of Mountain Science
    • Citations: 1