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 🔗🌿.

Lei Liu | Engineering | Best Researcher Award

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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.

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

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

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

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

Professional Profile

Orcid

Scopus

Google Scholar

📚 Education

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

👩‍🏫 Professional Experience 

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

🔍 Research Interests 

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

🏅 Awards and Honors

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

Publications Top Notes 

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

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

  • Year: 2025

  • DOI: 10.1016/j.prime.2025.100982

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

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

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

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

  • Year: 2025

  • DOI: 10.1016/j.prime.2025.100945

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

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

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

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

  • Year: 2025

  • DOI: 10.1016/j.epsr.2024.111086

  • Source: Electric Power Systems Research

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

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

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

  • Year: 2024

  • DOI: 10.1109/ACCESS.2024.3460968

  • Source: IEEE Access

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

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

  • Authors: K. Lakshmi Prasanna

  • Year: 2023

  • DOI: 10.1109/INDICON59947.2023.10440729

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

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

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

  • Authors: K. Lakshmi Prasanna, Mithun Mondal

  • Year: 2023

  • DOI: 10.1002/cta.3839

  • Source: International Journal of Circuit Theory and Applications

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

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

  • Authors: K. Lakshmi Prasanna

  • Year: 2023

  • DOI: 10.1002/cta.3547

  • Source: International Journal of Circuit Theory and Applications

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

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

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

  • Year: 2023

  • DOI: 10.1109/TIM.2023.3311074

  • Source: IEEE Transactions on Instrumentation and Measurement

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

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

  • Authors: K. Lakshmi Prasanna

  • Year: 2022

  • DOI: 10.1109/CATCON56237.2022.10077664

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

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

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

  • Authors: K. Lakshmi Prasanna

  • Year: 2019

  • DOI: 10.1109/RDCAPE47089.2019.8979044

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

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

✅ Conclusion 

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

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

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

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

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

Professional Profile 

ORCID Profile

🎓 Education

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

🧑‍🔬 Professional Experience

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

🔬 Research Interest

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

🏆 Award and Honor

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

Publications Top Notes

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

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

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

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

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

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

4. A POCS Super Resolution Restoration Algorithm Based on BM3D

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

🧾 Conclusion

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

Yun Zhao | Engineering | Best Researcher Award

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Assoc. Prof. Dr. Yun Zhao | Engineering | Best Researcher Award

Yun Zhao at Northwest Normal University, China

Dr. Yun Zhao 🎓 is an Associate Professor at the College of Physics and Electronic Engineering, Northwest Normal University 🏫, since 2020. He earned his Ph.D. in Materials Science and Engineering 🧪 from the Lanzhou Institute of Chemical Physics, Chinese Academy of Sciences 🇨🇳, in 2020. Shortly after, he joined the Ningbo Institute of Materials Technology and Engineering 🔬 as a postdoctoral researcher. His work focuses on thin film photodetectors 📸 and semiconductor devices 💡. Dr. Zhao is passionate about next-gen optoelectronics and is actively contributing to innovation in functional materials and device engineering 🚀.

Professional Profile:

Orcid

Scopus

🎓 Education & Experience 

  • 📚 Ph.D. in Materials Science and Engineering, Lanzhou Institute of Chemical Physics, CAS – 2020

  • 🧑‍🏫 Postdoctoral Researcher, Ningbo Institute of Materials Technology and Engineering, CAS

  • 👨‍🏫 Associate Professor, College of Physics and Electronic Engineering, Northwest Normal University – Since 2020

📈 Professional Development 

Dr. Yun Zhao continuously engages in academic and research development through national and institutional collaborations 🤝. His postdoctoral work at the prestigious Ningbo Institute of CAS sharpened his experimental techniques and deepened his expertise in advanced semiconductors ⚙️. As an associate professor, he mentors young researchers 👨‍🔬 and collaborates on interdisciplinary projects across optics, electronics, and nanotechnology 🔍. He regularly attends academic conferences, publishes in reputed journals 📄, and reviews scientific manuscripts. His dedication to professional growth ensures he stays at the forefront of innovation in functional materials and optoelectronic devices 🌐.

🔬 Research Focus 

Dr. Yun Zhao’s research primarily revolves around thin film photodetectors 📸 and semiconductor devices ⚡. His focus lies in designing and fabricating new materials with enhanced sensitivity, stability, and performance for light-sensing technologies 🌞. He explores emerging materials such as perovskites and nanostructures 🌱 for integration into flexible and wearable electronics 🧤. His work bridges the gap between material science and applied electronics, aiming to revolutionize future optoelectronic systems 🔋. The end goal of his research is to contribute to high-performance, low-cost, and energy-efficient devices for real-world applications 🚗📱.

🏆 Awards and Honors 

  • 🎖️ Ph.D. fellowship from the Chinese Academy of Sciences

  • 🏅 Postdoctoral appointment at Ningbo Institute of Materials Technology and Engineering (CAS)

  • 🏆 Recognized for outstanding research contributions in thin film photodetectors

  • 📜 Multiple peer-reviewed publications in reputed international journals

Publication Top Notes

1. Understanding Proton Radiation-Induced Degradation Mechanisms in Cu₂ZnSn(S,Se)₄ Kesterite Thin-Film Solar Cells

Journal: Solar Energy
Date: May 2025
DOI: 10.1016/j.solener.2025.113450
Summary:
This study investigates how proton radiation affects the stability and performance of Cu₂ZnSn(S,Se)₄ (CZTSSe) thin-film solar cells. Proton radiation is relevant for space applications where solar cells are exposed to high-energy particles. The paper likely explores:

  • Changes in carrier lifetimes and defect states post-irradiation.

  • Structural or compositional changes in the absorber layer.

  • Strategies to mitigate degradation for improved radiation tolerance.

2. Multifunctional Artificial Electric Synapse of MoSe₂-Based Memristor toward Neuromorphic Application

Journal: The Journal of Physical Chemistry Letters
Date: February 6, 2025
DOI: 10.1021/acs.jpclett.4c03353
Summary:
This article presents a MoSe₂-based memristor designed to emulate biological synapses. The work focuses on neuromorphic computing, highlighting:

  • Synaptic plasticity behaviors (e.g., potentiation/depression).

  • Multifunctionality (possibly electrical + optical control).

  • Performance metrics like switching speed, retention, and endurance.

3. Exploring the Promoting Effect of Lanthanum Passivation on the Photovoltaic Performance of CZTSSe Solar Cells

Journal: The Journal of Chemical Physics
Date: December 21, 2024
DOI: 10.1063/5.0244645
Summary:
This paper studies how lanthanum (La) passivation enhances CZTSSe solar cell efficiency. Key aspects likely include:

  • Reduction in defect densities at grain boundaries or interfaces.

  • Improvements in open-circuit voltage and fill factor.

  • Insights into La’s role in modifying electronic structure or surface chemistry.

4. Electrical-Light Coordinately Modulated Synaptic Memristor Based on Ti₃C₂ MXene for Near-Infrared Artificial Vision Applications

Journal: The Journal of Physical Chemistry Letters
Date: August 29, 2024
DOI: 10.1021/acs.jpclett.4c02281
Summary:
This research showcases a Ti₃C₂ MXene-based memristor that responds to both electrical and light inputs, mimicking the retina for near-infrared vision. Highlights include:

  • Dual-mode modulation (electrical and optical).

  • Application in neuromorphic visual systems.

  • Spectral response analysis and synaptic behavior simulation.

5. Multicolor Fully Light-Modulated Artificial Synapse Based on P-MoSe₂/PxOy Heterostructured Memristor

Journal: The Journal of Physical Chemistry Letters
Date: August 29, 2024
DOI: 10.1021/acs.jpclett.4c01980
Summary:
This study introduces a heterostructured memristor combining P-doped MoSe₂ and PxOy, enabling light-tuned synaptic responses. Likely contributions:

  • Multicolor light sensitivity for multi-channel processing.

  • Photonic modulation of conductance states.

  • Integration prospects for optical neuromorphic systems.

Conclusion

Dr. Yun Zhao is highly suitable for the Best Researcher Award, particularly in categories related to emerging materials, device physics, or engineering sciences. His rapid academic progression, focused and relevant research in photodetectors and semiconductors, and training at top-tier institutions within the Chinese Academy of Sciences establish him as a promising and impactful researcher. Recognition through such an award would be both meritorious and motivating for his continued contributions to the field.