Dr. Sun has long been dedicated to research in intelligent medical robotics and healthcare big data. She has led over 20 horizontal and vertical research projects, including key projects under the National Key R&D Program "Intelligent Robots" of the Ministry of Science and Technology, the National Health Commission's big data platform construction, and the Ministry of Education's industry-education integration initiative for new engineering disciplines in intelligent medical devices. She has published more than 30 papers in domestic and international journals and holds over 20 patents and software copyrights, with more than 10 already granted. She has served as chief or associate editor for five textbooks.

Her accolades include the Second Prize of the Shanghai Science and Technology Progress Award (2020), the First Prize for Scientific and Technological Innovation of the China Medicine Education Association Science and Technology Award (2024), and three other awards. She has received the Shanghai University of Medicine & Health Sciences President’s Award and the Shanghai Yucai Award.

Additionally, she serves as Deputy Secretary-General of the China Medicine Education Association; Vice Chairman and Secretary-General of the Medical Equipment Development Promotion Working Committee of the China Medicine Education Association; and Chairman of the Medical Robotics Development Promotion Branch of the China Medicine Education Association. She is also a Standing Committee Member of the Robotics Competition Working Committee of the Chinese Association of Automation and Director of the Medical Robotics Competition Base under the same association.

Dr. Chen, winner of the Dean Award of the Chinese Academy of Sciences and Project evaluation expert of National Natural Science Foundation of China, is a Big Data Analyst (Senior). At present, more than 40 SCI and EI papers have been published in Briefings in bioinformatics (Top journal), PLoS Computational Biology, IEEE/ACM Transactions on Computational Biology and Bioinformatics, Molecular Therapy-Nucleic Acids (cell sub-journal), Bioinformatics, iScience, BMC genomics, Frontiers in Genetics and other internationally renowned journals. He applied for four national patents (including two invention patents and one utility model), presided over one youth project of the National Natural Science Foundation of China, and participated in seven scientific research projects (two national key R & D projects). He is also the reviewer of several SCI journals such as Briefings in Bioinformatics (Top journals), Expert Systems With Applications (Top journals), Knowledge-Based Systems (Top journals), Neurocomputing, and the chairman of ICIC2020 International Academic Conference. Members of ICIC2021, ICIC2022 International Academic Conference Procedure Committee and BIBM2023 International Academic Conference Procedure Committee. Google cited 868 times, H index 16, i10 index 23.

Dr. Sumit Hazra is a highly accomplished AI/ML researcher and educator with a PhD in Computer Science from NIT Rourkela (CGPA: 9.02), specializing in cognitive gait analysis, computer vision, and multimodal machine learning. With over 5 years of research experience (including a DST-funded SERB project) and 3+ years in academia, he currently serves as AI & ML Research Group Head at KL University, Hyderabad, where he leads R&D initiatives, mentors students, and organizes international conferences (e.g., ICACIA-2023, EarthSense 2025). His expertise spans several SCI publications (IEEE Transactions, Springer, Elsevier;), core-ranking International Conferences, patented works on Image Processing based research, papers on cognitive gait estimation tools and industry experience at GE Healthcare (MICT-CT). Recognized for Best Paper Awards and reviewer roles for top journals (Nature, IEEE), he has taught advanced courses like Deep Learning and Big Data Analytics, while actively contributing to IEEE initiatives and hackathons (IMPACTECH-2K25). His interdisciplinary work bridges biomedical signal processing, neurocognitive modeling, and real-time gait analysis, supported by collaborations with global experts (e.g., Czestochowa University, Poland).

Dr. M.V. Rajee is a highly accomplished academic professional with over 12 years of teaching and research experience, specializing in Information and Communication Engineering. Holding a PhD from Anna University (2022) with First Class Distinction, along with an M.Tech and B.E. in related fields, she has published multiple high-impact SCI/SCOPUS papers on AI-driven biomedical applications (e.g., dental image segmentation, CMOS oscillator design) and holds patents in agricultural robotics and smart power systems. Currently serving as Assistant Professor at Francis Xavier Engineering College, she mentors 3 PhD scholars, has guided 10 M.E. theses, and actively leads administrative roles (NAAC/NBA coordinator, ERP/Program head). Her expertise is further demonstrated through 30+ FDP certifications in AI/ML, VLSI, and IoT from institutions like NITTTR and IIT Bombay, complemented by memberships in Springer journals and IE(I).

Dr. Tushar H. Jaware received E&TC Engineering Ph.D in NSGBAU, Amravati in 2017. He is a Associate Professor in E&TC Engineering at R C Patel Institute of Technology, Shirpur. He has published 27 papers in renowned international journals and many conference papers as first author and 6 patents. 

Dr. Thomas G. Hedberg is an experienced neuroscientist and neurologist with over 20 years in clinical, clinical pharmacology, and nonclinical regulatory writing/management. He specializes in therapeutic areas such as oncology, cardiovascular diseases, CNS disorders, infectious diseases, dermatology, gastroenterology, and women's health.

Dr. Hedberg has a strong background in administrative organization, project management, and planning within the pharmaceutical industry. He has been a medical writing department head, managing teams during IND submissions and publication planning.

He is a member of the American Medical Writers Association and the International Society of Medical Publication Professionals, known for his excellent data interpretation, medical writing skills, and problem-solving abilities.

Educated at Cornell University (BS), Oregon State University (MSc), and Harvard Medical School/Boston University (PhD), Dr. Hedberg is also fluent in multiple languages and proficient in programming languages like C++ and JAVA.

Throughout his career, Dr. Hedberg has held senior positions in medical writing, strategic planning, and regulatory affairs at companies including Takeda Pharmaceuticals, Insmed Pharmaceuticals, Eisai, and Novartis Pharmaceuticals. His work has involved developing and executing medical communication strategies, regulatory document preparation, and managing medical writing projects.

Dr. Hedberg's academic and medical experience includes a visiting professorship at the Albert Einstein College of Medicine, where his research has focused on botulinum neurotoxins for treating intractable epilepsies. He has also published numerous scientific and medical papers across various neurological fields.

Shengeng Tang is a Lecturer in the School of Computer Science and Information Engineering at Hefei University of Technology in China. He holds a Doctorate (Ph.D.) in Computer Application Technology, which he earned from Hefei University of Technology between September 2017 and December 2022. Tang also has a Bachelor of Engineering in Computer Science and Technology from Hunan Normal University, obtained from September 2013 to June 2017.

His research interests include multimedia understanding and analysis, cross-media reasoning, computer vision and artificial intelligence, sign language interpretation and production, and multimedia content generation. Tang is actively involved in academic communities and maintains profiles on ORCID, ResearchGate, Google Scholar, and Publons.

Shengeng Tang has been a lecturer at Hefei University of Technology since February 2023. He has contributed to several publications in his field, with his work appearing in conferences such as the International Joint Conference on Artificial Intelligence (IJCAI) and the ACM International Conference on Multimedia (ACM MM), as well as in journals like IEEE Transactions on Multimedia (TMM) and IEEE Transactions on Image Processing (TIP). His research focuses on innovative aspects of multimedia and artificial intelligence, aiming to enhance understanding and analysis across various media forms.

Dr. Hao Tang is a Postdoctoral Fellow at the Centre for Smart Health, The Hong Kong Polytechnic University. He earned his Ph.D. in Computer Science and Technology from Nanjing University of Science and Technology, China, in 2024. From 2022 to 2024, he was a visiting scholar at Singapore Management University and the Singapore University of Technology and Design, where he conducted two significant research projects.