Invited Speakers

We are pleased to welcome these distinguished researchers who will present their latest work at ICBIP 2025.

Prof. Gang Wang

Prof. Naifu Jiang

Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences

Naifu Jiang is a Professor at the Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences. His main research interests lie in brain-computer interface for pain and intelligent rehabilitation engineering. He is recognized as an Innovative Figure of Guangdong Province's Doctoral and Postdoctoral Programs, a core member of Shenzhen's High-Level Overseas Talent Team, and a Shenzhen High-Level Overseas Talent. He holds multiple positions in domestic and international academic organizations, including Council Member of the International Association for Computational Intelligence, Committee Member of the Biomedical Sensing Technology Branch/ Youth Vice Chair of the Rehabilitation Engineering Branch of the Chinese Society of Biomedical Engineering. Over the past five years, he has published over 50 high-level papers in journals such as IEEE TNSRE/TBME, Advanced Materials, JNER, and Spine. He has applied for or been granted over 10 national invention patents and 3 PCT international patents. He has served as Principal Investigator for projects funded by the National Natural Science Foundation of China and for sub-projects of the National Key R&D Program.

Prof. Jianjun Meng

Prof. Takashi Kuremoto

Nippon Institute of Technology, Japan

Takashi Kuremoto received the B.E. degree in System Engineering from the University of Shanghai for Science and Technology, China, in 1986, and the M.E. and Ph.D. degrees from Yamaguchi University, Japan, in 1996 and 2014, respectively. From 1986 to 1992, he worked as a system engineer at the Research Institute of Automatic Machine, Beijing. In 2008, he was an Academic Visitor at the School of Computer Science, The University of Manchester, U.K. He was affiliated with Yamaguchi University from 1993 to 2021, and since 2021 he has been a Professor at the Nippon Institue of Technology, Japan. His research interests include artificial neural networks, bioinformatics, machine learning, complex systems, time series forecasting, and swarm intelligence. He has authored more than 300 publications and is a member of IEICE, IEEE, IIF, and SICE.

Talk: "Deep Learning–Based MRI Biomarkers for Early and Prodromal Parkinson’s Disease"

Abstract: Parkinson’s disease (PD) is a progressive neurodegenerative disorder characterized by the gradual loss of dopaminergic neurons in the substantia nigra. While motor symptoms such as tremor, bradykinesia, and rigidity typically appear in the later stages, non‑motor symptoms—including olfactory dysfunction, constipation, REM sleep behavior disorder, anxiety, and depression—may emerge years earlier during the prodromal phase. Identifying this early stage is essential for enabling timely intervention and slowing disease progression. Recent advances in MRI have made it possible to detect subtle gray‑matter alterations associated with early PD. At the same time, deep learning has become a powerful tool for extracting clinically meaningful patterns from neuroimaging data. However, medical imaging datasets are often small and heterogeneous, raising concerns about subject‑level data leakage and overestimated model performance. In this invited talk, Dr. Takashi Kuremoto presents a systematic evaluation framework for classifying healthy controls, prodromal PD, and diagnosed PD using gray‑matter MRI. The study compares three representative architectures—MedicalNet3D, ResNet18, and 3D ViT‑B16—under strict subject‑level data management. The results highlight the advantages of medical‑domain pretraining and demonstrate a reliable, leakage‑free approach to model validation. This work contributes to the development of trustworthy AI tools for early PD diagnosis and disease‑stage assessment.

Prof. Rajeev K. Singla

Dr. Rajeev K. Singla

West China Hospital, Sichuan University

Dr. Rajeev Kumar (also known as Rajeev K. Singla) is an assistant researcher at the Institutes for Systems Genetics, West China Hospital, Sichuan University. He has extensive experience in the fields of natural products, metabolic disorders, neurological diseases, infectious diseases, chemoinformatics, and public health. He is the founder and editor-in-chief of Indo Global Journal of Pharmaceutical Sciences, associate editor of Journal of Translational Medicine, Journal of Alzheimer’s Disease, Frontiers in Pharmacology, and Frontiers in Nutrition, a member of the Topical Advisory Panel of Cancers (MDPI), a member of the Advisory Board of Heliyon (Cell Press), and a member of the Editorial Board of BMC Complementary Medicine and Therapies and CNS & Neurological Disorders - Drug Targets. He is among the top 2% of scientists according to Stanford University, Scopus, and Elsevier reports (based on publications in 2022, 2023, and 2024). He has published more than 140 papers. According to Scopus, he has published papers with 670 co-authors from 40 countries so far. According to Web of Science, he has 447 peer review records and 298 verified editing records. To date, he has published 4 books and 19 chapters. He serves as an expert reviewer for the Sichuan University Innovation Training Program Academy and participates in guiding the College Students Innovation and Entrepreneurship Competition. In addition, he was awarded the 2024 Sichuan Province Foreign High-level Talent Certificate this year and won the second prize for the 2022-2023 Suzhou Natural Science Excellent Academic Paper Award (SZLW2024084). In 2024, he successfully applied for a Sichuan Provincial Science and Technology Department project to find alternative therapies extracted from coconut shells to fight Pseudomonas aeruginosa (Project No.: 2025YFHZ0213).