Shreedhar Sahoo | Emerging Technologies | Best Researcher Award

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Mr. Shreedhar Sahoo | Emerging Technologies | Best Researcher Award

Mr. Shreedhar Sahoo | Indian Institute of Technology Kharagpur | India

Shreedhar Sahoo is a Prime Minister’s Research Fellow (PMRF) and Ph.D. candidate in Mechanical Engineering at the Indian Institute of Technology Kharagpur, specializing in rail–wheel interaction, traction, and slip dynamics. His doctoral research focuses on the investigation of traction and slip at the rail–wheel contact using wheel tread temperature monitoring, contributing to improved safety, efficiency, and predictive maintenance in railway systems. He holds a Dual Degree (B.Tech + M.Tech) in Mechanical Engineering from IIT Kharagpur with an excellent CGPA of 9.26/10. His academic foundation spans advanced mechanical engineering, railway vehicle dynamics, finite element methods, vibration analysis, thermodynamics, and applied mathematics. His M.Tech project involved the active control of functionally graded shells using piezoelectric fiber-reinforced composites, while his B.Tech project explored personality trait prediction from Twitter data using SVM, achieving an accuracy of 80.1%. Shreedhar has completed two technical internships at Transenigma, Kolkata, where he worked on automation in motion graphics and 3D human-prototype modeling using Adobe and Autodesk Maya platforms. He has also obtained OCA Java certification with a 91% score and participated in specialized workshops, including SIMPACK training on railway vehicle dynamics. His research work has led to publications in reputed journals such as the Journal of Rail and Rapid Transit and Tribology International. He has presented at major conferences, including the 4th International Conference on Friction-based Processes, where he won the 2nd prize for oral presentation in 2025. He is also a co-inventor of a provisional patent on room-temperature deposition of nanoparticle-based coatings. Alongside technical expertise, he has served as a student coordinator for courses on text analytics and modeling tools. Overall, Shreedhar Sahoo’s academic excellence, research contributions, and interdisciplinary skills highlight his strong potential as a researcher and innovation-driven engineer in rail transport and tribology.

Profile: Scopus

Featured Publications

Sahoo, S., Kushan, D. S., Ronith, G. S. P. J., & Racherla, V. (2026). Nano-scale friction modifier coatings: Application methodology, friction characteristics, and surrogate models. Tribology International, Article 111429. https://doi.org/10.1016/j.triboint.2025.111429

Xiaoping Ren | Scientific Breakthroughs | Distinguished Scientist Award

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Prof. Dr. Xiaoping Ren | Scientific Breakthroughs | Distinguished Scientist Award

Prof. Dr. Xiaoping Ren | Affiliated Hospital of Guangxi University | China

Dr. Xiaoping Ren is an internationally recognized surgeon and scientist known for pioneering breakthroughs in hand transplantation, spinal cord fusion, and head transplantation research. He designed the world’s first clinical hand allotransplantation model, contributed to the United States’ first hand transplant, and discovered key mechanisms such as RPCT and RCI. He led landmark achievements including the first mouse head transplant, the first human head-transplant surgical model, and multiple world-first advances in spinal cord fusion that restored neural continuity in animal studies. His work established him as a global leader in paralysis treatment and regenerative reconstruction. Dr. Ren has earned major international honors, including election to the Russian Academy of Natural Sciences, fellowship of the International College of Surgeons, and leadership roles such as Chief Scientist of the GICUP Alliance, supported by an extensive publication record across microsurgery, neurology, cardiology, and regenerative medicine.

Profiles: Scopus 

Featured Publications

Ren, X., et al. (2025). Establishment of a canine model of vascularized allogeneic spinal cord transplantation and preliminary study on spinal cord continuity reconstruction. Chinese Journal of Reparative and Reconstructive Surgery.

Ren, X., et al. (2024). Recovery of independent ambulation after complete spinal cord transection in the presence of the neuroprotectant polyethylene glycol in monkeys. IBRO Neuroscience Reports.

Ren, X., et al. (2024). A novel strategy for spinal cord reconstruction via vascularized allogeneic spinal cord transplantation combined with spinal cord fusion. CNS Neuroscience and Therapeutics.

Ren, X., et al. (2024). Developing preclinical dog models for reconstructive severed spinal cord continuity via spinal cord fusion technique. IBRO Neuroscience Reports.

Ren, X., et al. (2023). Effect of vascularized lymph node transplantation combined with lymphatico-venous anastomosis in the treatment of lymphedema after breast cancer surgery. Chinese Journal of Plastic Surgery.

Yunsong Mu | Emerging Technologies | Best Researcher Award

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Prof. Yunsong Mu | Emerging Technologies | Best Researcher Award

Prof. Yunsong Mu | Renmin University | China

Professor Yunsong Mu is an accomplished environmental toxicologist and academic leader serving as Vice Dean at the School of Chemistry and Life Resources, Renmin University of China. His pioneering research integrates computational toxicology and risk assessment to address the health impacts of emerging environmental pollutants. With over 50 Scopus-indexed publications, two authored books, and 20 patents, he has made significant contributions to environmental science innovation and policy. His groundbreaking GNN-based immunotoxicity prediction framework offers transformative tools for pollutant risk evaluation. Recognized by national and international bodies, Professor Mu exemplifies excellence in environmental research and scientific leadership.

Profile: Scopus

Featured Publications

Mu, Y., et al. (2025). Machine learning-driven 3D-QSAR models facilitated rapid on-site broad-spectrum immunoassay of (fluoro)quinolones using evanescent wave fiber-embedded optofluidic biochip. Biosensors and Bioelectronics.

Mu, Y., et al. (2025). Advances and perspectives on the life-cycle impact assessment of personal protective equipment in the post-COVID-19 pandemic.

Mu, Y., et al. (2025). Application of machine learning in nanotoxicology: A critical review and perspective.

Mu, Y., et al. (2024). Predicting the water ecological criteria of copper using machine learning and multiple linear regression approaches. Zhongguo Huanjing Kexue (China Environmental Science).

Chien-Hung Yeh | Research Excellence | Best Researcher Award

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Prof. Dr. Chien-Hung Yeh | Research Excellence | Best Researcher Award

Prof. Dr. Chien-Hung Yeh | Beijing Institute of Technology, China

Professor Chien-Hung Yeh, a tenured faculty member at Beijing Institute of Technology and a National High-Level Fellow, is renowned for his groundbreaking work in neuromodulation, cross-frequency coupling, and medical AI. With over 50 SCI publications, 15+ patents, and leadership in major national research projects, he has significantly advanced intelligent healthcare technologies. His collaborations span prestigious institutions like Harvard and Oxford, and his innovations influence clinical practices and brain-computer interface development. As a senior IEEE member and editorial board contributor, Professor Yeh exemplifies excellence in interdisciplinary biomedical engineering—making him a distinguished candidate for the Best Researcher Award.

Academic Profile 

ORCID, Google Scholar

Education

Professor Chien-Hung Yeh holds a distinguished academic background, earning his doctoral degree through a joint supervision program between Harvard Medical School and National Central University. This unique cross-continental academic training provided him with a rich blend of cutting-edge biomedical knowledge and rigorous technological insight. His PhD research laid the groundwork for his later innovations in neuromodulation and cross-frequency coupling, with strong emphasis on translational science bridging engineering and clinical neuroscience. His academic journey reflects both depth and global perspective, equipping him with interdisciplinary tools essential for leadership in advanced healthcare technologies.

Experience

Professor Yeh currently serves as a tenured professor at Beijing Institute of Technology, one of China’s premier research universities. Over the years, he has gained extensive experience leading major national-level research projects, including initiatives funded by the Ministry of Science and Technology of China, the National Natural Science Foundation of China (NSFC), and the Beijing Municipal Health Commission. In addition to his academic role, he is actively engaged in consultancy and industry-academia collaborations, such as with Kao Corporation and Neuracle Technology Co., Ltd. He also chairs IEEE conferences and serves as a reviewer for various high-level funding agencies including the Ministry of Industry and Information Technology and the National Science Foundation of China. His experience spans administration, research management, teaching, and policy advising, making him a key figure in biomedical innovation ecosystems.

Research Interests

Professor Yeh’s research is at the forefront of biomedical engineering, with core interests in cross-frequency coupling, neuromodulation, and artificial intelligence applications in medicine. He is internationally recognized for his pioneering work on dynamic brain signal processing, particularly in the development of algorithms for brain-computer interfaces and intelligent monitoring systems for neurological disorders. His contributions to waveform analysis and AI-driven health diagnostics have practical implications for epilepsy, Parkinson’s disease, sleep disorders, and critical care. These interests are not only intellectually rigorous but also clinically transformative, aiming to close the gap between neuroscience theory and patient-centered innovation.

Awards

Throughout his career, Professor Yeh has received numerous prestigious recognitions. He has been honored as a National High-Level Fellow in China, a designation reserved for top-tier scientists making significant contributions to strategic research areas. His projects have received substantial support from national and municipal government bodies, reinforcing the value of his work to public health and innovation policy. He has also co-led a team that was named a runner-up in the Qualcomm Tricorder XPRIZE, a global competition to develop portable diagnostic devices capable of revolutionizing healthcare delivery. This accomplishment highlights the global applicability of his research. Furthermore, Professor Yeh’s editorial roles in leading journals, including Cyborg and Bionic Systems, Applied Sciences, and BMC Medical Informatics and Decision Making, along with his membership in key professional societies such as IEEE and the Chinese Society of Biomedical Engineering, reflect the academic community’s high regard for his expertise and leadership.

Publications

Amplitude modulation multiscale entropy characterizes complexity and brain states

Author: W Shi, H Feng, X Zhang, CH Yeh
Journal: Chaos, Solitons & Fractals
Year: 2023

A novel measure of cardiopulmonary coupling during sleep based on the synchrosqueezing transform algorithm 

Author: Y Wang, W Shi, CH Yeh
Journal: IEEE journal of biomedical and health informatics
Year: 2023

Waveform changes with the evolution of beta bursts in the human subthalamic nucleus

Author: CH Yeh, B Al-Fatly, AA Kuehn, AC Meidahl, G Tinkhauser, H Tan,
Journal: Clinical neurophysiology
Year: 2020

Generalized multiscale Lempel–Ziv complexity of cyclic alternating pattern during sleep

Author: CH Yeh, W Shi
Journal: Nonlinear Dynamics
Year: 2018

A comparison study on stages of sleep: Quantifying multiscale complexity using higher moments on coarse-graining

Author: W Shi, P Shang, Y Ma, S Sun, CH Yeh
Journal: Communications in Nonlinear Science and Numerical Simulation
Year: 2017

Quantifying spasticity with limited swinging cycles using pendulum test based on phase amplitude coupling

Author: CH Yeh, HWV Young, CY Wang, YH Wang, PL Lee, JH Kang, MT Lo
Journal: IEEE Transactions on Neural Systems and Rehabilitation Engineering
Year: 2016

Spurious cross-frequency amplitude–amplitude coupling in nonstationary, nonlinear signals

Author: CH Yeh, MT Lo, K Hu
Journal: Physica A: Statistical Mechanics and its Applications
Year: 2016

On the computational complexity of the empirical mode decomposition algorithm 

Author: YH Wang, CH Yeh, HWV Young, K Hu, MT Lo
Journal: Physica A: Statistical Mechanics and its Applications
Year: 2014

Conclusion

Professor Chien-Hung Yeh exemplifies the ideal candidate for the Best Researcher Award through his high-impact publications, transformative research, interdisciplinary expertise, and technological innovations. His leadership in both academic and applied research domains, coupled with international collaborations and continuous contributions to scientific advancement, makes him a deserving recipient of this recognition.