October 31-November 2, 2025

Heidelberg, Germany

History
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Organization

→ General Chair
Pier Paolo Piccaluga
Pier Paolo Piccaluga
Associate Professor, University of Bologna, Italy
Adjunct Professor, Botswana University, Botswana
Visiting Professor, Nairobi University, Kenya
Temporary Professor, Queen Mary University of London, London, UK
Research Interests: Genomics of Hematological Malignancies, Metabolomics of Hematological Malignancies, Molecular Diagnostics, Digital pathology, Precision Medicine, Biobanking.

Pier Paolo Piccaluga is an Associate Professor of Pathology at the Department of Medical and Surgical Sciences at the Bologna University School of Medicine. He is also a co-founder and Executive Physician at the Biobank of Research, IRCCS S. Orsola-Malpighi Hospital in Italy. He has led the Molecular Hematopathology Laboratory for many years.In 2018, he was appointed to teach at Queen Mary University of London (UK) and Jomo Kenyatta University of Agriculture and Technology in Nairobi (Kenya), and since 2023, at the University of Nairobi and the University of Botswana. He is the author of several international publications indexed in the Current Contents (including Nature Medicine, Journal of Clinical Investigation, Journal of Experimental Medicine, Journal of Clinical Oncology, Blood, Lancet Oncology, and Lancet Infectious Diseases, with a total impact factor >1,000, a mean impact factor >6, and an H-index of 62 (ranked among the VIA-Academy Top Italian Scientists). He is the author of several presentations at national and international conferences.Dr. Piccaluga has participated in several clinical trials as a coordinator or sub-investigator and has won multiple awards for his contributions to study and research. He has served as a Principal Investigator (PI) in various research projects funded by nationally and internationally recognized organizations. He is the Editor-in-Chief of the World Journal of Hematology, Digital Medicine and Healthcare Technology, Advances in Precision Medicine, and the Journal of Cancer Biomoleculars and Therapeutics.

→ Organizing Committee Chair
Zefeng Wang
Zefeng Wang
Distinguished Professor, Huzhou University, China.
Research Interests: Smart Medical Care (Including Rehabilitation Robots, Early Screening of Mental Disorders based on AI, Medical Big Data Analysis, etc.), Special Robots (Including Land Mobile Robots, Aircraft, Underwater Robot Clusters, etc.).

Zefeng Wang, Distinguished Professor and Doctoral Supervisor of Huzhou University, Director of the Institute of Perception and Control Technology, College of Information Engineering, Huzhou University. He successively obtained a Bachelor's degree in applied Physics, a Master's degree in mechanical and Systems Engineering, and a Doctor's degree in mechanics, electronics, acoustics and robotics from Université Paris VI. After that, he served as an Associate Professor at the Catholic University of Paris. He moved to China in 2017 as a Distinguished Professor and concurrently served as a Guest Professor at JUNIA Grande école d'ingénieurs. At the end of 2020, he joined Huzhou University as a Distinguished Professor and jointly trained doctoral students with Sorbonne University and Lille University.

Mukesh Prasad
Mukesh Prasad
Senior Lecturer, University of Technology Sydney, Sydney, NSW, Australia.
Research Interests: Machine Learning, Pattern Recognition, Fuzzy Systems, Neural Networks, Artificial Intelligence, Brain Computer Interface.

Mukesh Prasad received the master's degree in computer application from Jawaharlal Nehru University, New Delhi, India, in 2009, and the Ph.D. degree in computer science from National Chiao Tung University, Hsinchu, Taiwan, in 2015. He is currently a Lecturer with the School of Software, University of Technology Sydney, Australia. He has authored papers in international journal and conferences, including IEEE transactions, ACM, Elsevier, and Springer. His current research interests include machine learning, pattern recognition, fuzzy systems, neural networks, artificial intelligence, and brain computer interface. His research has appeared in numerous prestigious journals, including IEEE/ACM Transactions, and at conferences, and he has written more than 120 research papers. Mukesh started his academic career as a lecturer with UTS in 2017 and became a core member of the University's world-leading Australian Artificial Intelligence Institute (AAII), which has a vision to develop theoretical foundations and advanced technologies for AI and to drive progress in related areas. His research is backed by industry experience, specifically in Taiwan, where he was the principal engineer (2016-17) at the Taiwan Semiconductor Manufacturing Company (TSMC). There, he developed new algorithms for image processing and pattern recognition using machine learning techniques.

→ Academic Committee

Biraja Ghoshal, University College London, UK

Congcong Zhou, Zhejiang University, China

Eleni Kaldoudi, Democritus University of Thrace, Greece

Habib Zaidi, Geneva University, Switzerland

Hongjun Li, Beijing You An Hospital Affiliated to Capital Medical University, China

Huipeng Chen, Fuzhou University, China

Imed Ben Dhaou, University of Turku, Finland

Jenna Seetohul, University of Kent, UK

Jia-Horng Lin, Feng Chia University, Taiwan, China

Lejla Alic, University of Twente, Netherlands

Michel Mickael, Institue of Genetics and Animal Biotechnology Polish Academy of Science, Poland

M. Imran Khan, PHC Global, Pakistan

Mohammad Ali Moni, The University of Queensland, Australia

Murtaza Hasan, Department of Biotechnology, The Islamia University Bahawalpur, Pakistan

Nan (Tori) Xiao, University of the Pacific, USA

Olga Rybytska, Lviv Polytechnic National University, Ukraine

Ol'Tunde Ashaolu, York Teaching Hospital NHS Foundation Trust, UK

Piyanee Yobas, National University of Singapore, Singapore

Raheleh Kafieh, Durham University, UK

Rajanikanth Aluvalu, Deemed University, India

Thomas J. Vogl, Universitätsmedizin Frankfurt, Germany


→ Organizing Committee

Changbin Yu, Shandong First Medical University & Shandong Academy of Medical Sciences, China

Cong Yan, Beijing University of Chinese Medicine, China

Linhua Jiang, Overseas Chinese Science and Technology Innovation Alliance

Huifang Dai, Fudan University, China

Jianlin Lou, Huzhou University, China

Zhengwei Qu, French Association of Traditional Chinese Medicine

Xiao'ou Li, Shanghai University of Medicine & Health Sciences, China