Polish computer scientist, electrical engineer, and a professor at the Systems Research Institute of Polish Academy of Science, Warsaw, and Nicolaus Copernicus University (UMK) in Toruń, Poland

Dean of the School of Artificial Intelligence and Computer Science, Nantong University
Visiting Professor, Xi’an Jiaotong-Liverpool University 
PhD Supervisor, City University of Macau
Ranked among the Top 2% of Scientists Worldwide by Stanford University for five consecutive years (2020–2024), including the "Career-Long Impact" List in 2024
Named to the Global Top 0.05% of Scientists (Rank #1021) by ScholarGPS in 2024
Served as Editorial Board Member, Associate Editor, or Field Editor for 13 internationally renowned academic journals

Full Professor at Nanjing University of Information Science and Technology

Director of the Imagineering Institute, Malaysia

Visiting Professor at Raffles University, Malaysia

Visiting Professor at University of Novi Sad-Serbia

Researcher, Doctoral Supervisor. He currently serves as the President of Dongfang Hospital, Beijing University of Chinese Medicine , and Director of the Key Laboratory of Internal Medicine of Chinese Medicine (Beijing University of Chinese Medicine), Ministry of Education. He is a recipient of the National Science Fund for Distinguished Young Scholars, and has been selected for the National High-Level Talent Special Support Plan (Ten Thousand Talent Program), the Qi Huang Scholar Support Program of the National Administration of Traditional Chinese Medicine, the Innovation Talent Promotion Program of the Ministry of Science and Technology, and the New Century Excellent Talents Program of the Ministry of Education. He was honored as an Advanced Individual in the National Science and Technology System for Fighting the COVID-19 Pandemic. Concurrently, he serves as the President of the Clinical Research Branch of the China Association of Traditional Chinese Medicine Information and as the Head of the Intelligent Traditional Chinese Medicine Group of the Medical Artificial Intelligence Branch, Chinese Society of Biomedical Engineering.

Xiaobo Zhou, Ph.D. joined McWilliams School of Biomedical Informatics at UTHealth Houston, formerly UTHealth Houston School of Biomedical Informatics (SBMI) in February of 2017 as a Professor and the Director of Center for Computational Systems Medicine.

Zhou received a B.S. degree from Lanzhou University, Lanzhou, in 1988. Zhou earned both his M.S. and Ph.D. degrees from Beijing University, Beijing, China, in 1995 and 1998, respectively. All of his degrees are in applied mathematics.

From 1998 to 2004, he was a Postdoctoral Fellow with several universities including Tsinghua University, Beijing, University of Missouri-Columbia, Texas A&M University and Harvard Medical School. From 2005 to 2007, he was a faculty member with Brigham and Women’s Hospital and Harvard University in Boston, MA. From 2007 to 2012, Zhou was the Chief of Bioinformatics and Professor of Radiology at Houston Methodist and Cornell Medical College in New York. Most recently, Zhou served as Professor, Chief of Bioinformatics and Director of Center for Bioinformatics and Systems Biology at Wake Forest University School of Medicine from 2012 to 2017. Currently, Zhou is still an Adjunct Professor at Wake Forest University School of Medicine.

Xudong Liu holds a PhD in Engineering and is an Associate Professor and Master's Supervisor. He graduated from Beijing University of Technology in 2008 and joined the Department of Information Engineering at the Experimental College of Beijing University of Technology that same year, becoming a faculty member in Electronic Information Engineering. From 2014 to 2015, he served as a visiting scholar at Beijing University of Aeronautics and Astronautics as part of the National Key Young Teachers Program. In September 2017, he joined the Department of Artificial Intelligence and Automation in the School of Information Science and Technology, where he currently focuses on undergraduate teaching, program development, and related research in Robotics Engineering.

Associate Professor, Doctoral Supervisor. His research focuses on intelligent sensing in infrared/millimeter-wave imaging, aligning with the development strategy of next-generation artificial intelligence and major national defense needs. He has led over 10 projects, including National Natural Science Foundation of China (NSFC) general and basic research projects, as well as projects funded by the Beijing Municipal Joint Fund. He has published over 30 papers as first/corresponding author in top journals such as IEEE Transactions and at CCF-A conferences, winning two best paper awards, holding over 20 invention patents, and receiving four provincial/ministerial-level research awards. He was selected as a member of the China Association for Science and Technology's Young Scientists Fund. He is a member of the Intelligent Fusion Committee of the Chinese Association for Artificial Intelligence, the Multimedia Committee of the China Computer Federation, the Embodied Intelligence Committee of the China Command and Control Society, and the Youth Working Committee of the China Ordnance Society.

Adel Al-Jumaily is a Computational Intelligence and health technology professor, He holds the position of Deputy Head of the School IT & Engineering, Sydney, master degree of Data Analytics course coordinator, and a Professor in Data Analytics, a Professor Research Fellow at ENSTA Bretagne, France, and adjunct positions at the University of Western Australia and Fahad Bin Sultan University.
His PhD in Electrical Engineering (AI). He has more than 20 years of solid experience in the cross-disciplinary applied research area and established his international track record. He has authored over 250 peer review papers, he is a leader and researcher in Computational Intelligence, Humanized Computational Intelligence technology, Health Technology, Machine Learning, and Bio- Mechatronics Systems. Adel is an IEEE Senior Member.

Zeeshan Ali is an Assistant Professor of Mathematics at the Department of Information Management, National Yunlin University of Science and Technology. He received an M.S. degree in pure mathematics from the International Islamic University Islamabad, Pakistan, in 2018, and a Ph. D degree in mathematics under the supervision of Dr. Tahir Mahmood from the International Islamic University Islamabad, Pakistan, in spring 2019 to Spring-2022. From Fall 2019 to Spring 2022, he also worked as a visiting Lecturer in mathematics at International Islamic University Islamabad. From Fall 2022 to Spring 2023, he worked as a researcher (IRSIP) in KERMIT, Department of Mathematical Modeling, Statistics and Bioinformatics, Coupure links 653, Ghent University, Ghent, Belgium under the supervision of Prof. Dr. B. De. Baets (HOD). From Fall 2023 to Spring 2024 (31-8-24), he also worked as an Assistant Professor in mathematics at Riphah International University Islamabad, Pakistan. His research interests include applications of statistics, fuzzy clustering, soft computing, pattern recognition, machine learning, aggregation operators, fuzzy logic, fuzzy decision making, fuzzy superior Mandelbrot sets, Type-2 fuzzy sets, fuzzy groups, fuzzy rings, fuzzy modules, research optimization, fuzzy fixed-point theory, fuzzy differential equations, and their applications. He has published more than one hundred and ninety-five articles in national and international journals. More than 195 research publications on his credit with 3800+ citations, 500+ impact factors, h-index 31, and i-index 90. According to Stanford University and Scopus, he is among the World’s top 2% of scientists with a career-long impact and also a single-year impact in 2021, 2022, 2023, and 2024.

Ahmed Bouridane received the Ingenieur d’Etat degree in electronics from Ecole Nationale Polytechnique of Algiers (ENPA), Algeria, in 1982, the M.Phil. degree in electrical engineering (VLSI design for signal processing) from the University of Newcastle-Upon-Tyne, U.K., in 1988, and the Ph.D. degree in electrical engineering (computer vision) from the University of Nottingham, U.K., in 1992. From 1992 to 1994, he worked as a Research Developer in telesurveillance and access control applications. In 1994, he joined Queen’s University Belfast, Belfast, U.K., initially as a Lecturer in computer architecture and image processing and later on, he was promoted to a Reader in computer science. He was a Full Professor in image engineering and security and leads the Computational Intelligence and Visual Computing Group at Northumbria University, Newcastle upon Tyne. He is currently the director of the Cybersecurity and Data Analytics Research Center at the University of Sharjah, Sharjah, UAE. He has authored and co-authored more than 350 publications and one research book on imaging for forensics and security. 

Joaquim Carreras, MD, PhD. is a pathologist with a medical degree from the University of Barcelona, Spain. His medical specialty was pathology (specialty residency) at the Department of Pathology, Hospital Clinic of Barcelona, Spain. His Ph.D. focused on hematopathology and was obtained from the Department of Pathology, Faculty of Medicine, University of Barcelona. He has worked as a pathologist in Spain, as a clinical research associate at the University of Cambridge (United Kingdom), Biomedical Research Institute of the National Institute of Advanced Industrial Science and Technology (AIST) as a Japan Society for the Promotion of Science (JSPS) post-doctoral fellow, and he is currently at Tokai University School of Medicine.

Oscar Castillo holds the Doctor in Science degree (Doctor Habilitatus) in Computer Science from the Polish Academy of Sciences (with the Dissertation “Soft Computing and Fractal Theory for Intelligent Manufacturing”). He is a Professor of Computer Science in the Graduate Division, Tijuana Institute of Technology, Tijuana, Mexico. Additionally, he serves as Research Director of Computer Science and heads the research group on Hybrid Fuzzy Intelligent Systems. Currently, he is President of HAFSA (Hispanic American Fuzzy Systems Association) and Past President of IFSA (International Fuzzy Systems Association). Prof. Castillo is also Chair of the Mexican Chapter of the Computational Intelligence Society (IEEE). He also belongs to the Technical Committee on Fuzzy Systems of IEEE and to the Task Force on “Extensions to Type-1 Fuzzy Systems”. He is also a member of NAFIPS, IFSA, and IEEE. He belongs to the Mexican Research System (SNI Level 3). His research interests are in Type-2 Fuzzy Logic, Fuzzy Control, Neuro-Fuzzy, and Genetic-Fuzzy hybrid approaches. He has published over 400 journal papers, 20 authored books, 100 edited books, 300 papers in conference proceedings, and more than 400 chapters in edited books, in total 1236 publications according to Scopus (H index=87), and more than 1400 publications according to Research Gate (H index=100 in Google Scholar). He has been a Guest Editor of several successful Special Issues in the past, including those in the following journals: Applied Soft Computing, Intelligent Systems, Information Sciences, Nonlinear Studies, Fuzzy Sets and Systems, JAMRIS, and Engineering Letters. He is currently Associate Editor of the Information Sciences Journal, Applied Soft Computing Journal, Engineering Applications of Artificial Intelligence, Granular Computing Journal and the International Journal on Fuzzy Systems. Finally, he was elected IFSA Fellow in 2015 and MICAI Fellow member in 2017. He has been recognized as Highly Cited Researcher in 2017 and 2018 by Clarivate Analytics because of having multiple highly cited papers in Web of Science.

Faouzi Alaya Cheikh is a Professor of computer science at NTNU.  He is member of the Research Group: Intelligent Systems and Analytics (ISA).

Background:

• BSc (Electronics) from the department of electrical engineering from ENIT, Tunisia, 1992
• MSc (Signal Processing) from the Department of Information Technology, TUT, 1997
• Dr. Tech. (Signal Processing) from the Department of Information Technology, TUT, 2004
• Worked as Associate Professor at Gjøvik University College, 2006–2015
• Worked as researcher at TUT, 1994-2006
• Worked as Electronics engineer at Société Tunisienne de l´Éléctricité et du Gaz, Sousse, Tunisia 1992-1993

Prof. Xiaojun Chen is with Institute of Biomedical Manufacturing, School of Mechanical Engineering, Shanghai Jiao Tong University (SJTU), China. He received his Ph.D from SJTU in 2006, and then furthered his research as a postdoctoral fellow at the same institution until 2008. After that, he has been working at SJTU as assistant professor (2008-2010), associate professor (2010-2018), full professor(2018-2025), and tenured full professor(2025-now). His research focuses on biomedical image analysis, image-guided interventions, artificial intelligence in biomedical physics and analysis, VR/AR/MR technology in medicine, medical robotics, biomedical manufacturing, etc. As a visiting professor, he had worked at the Surgical Planning Laboratory, Harvard Medical School during Oct 2011~ Oct 2012; the TIMC-IMAG lab, CNRS, France during Sep~Dec 2013; the OMFS-IMPATH lab, KU Leuven, Belgium during Jun~Aug 2015, and the CISTIB lab, the University of Sheffield, UK during Jun~ Aug 2016.
He is the author and co-author of more than 200 peer-reviewed journal/conference articles in MedIA, IEEE-TMI, IEEE-TBME, IEEE-TVCG, CMIG, CMPB, IJCARS, etc., the owner of more than 30 patents, and have delivered more than 50 lectures in the prestigious international conferences including IEEE-EMBC, IEEE-ITAB, MICCAI, CARS, iSMIT, CAI, etc. He was granted Second Prize of National Science & Technology Progress Award of China (2019), Chinese Society of Stomatology Science and Technology Award (2018), Jiangsu Province Science & Technology Award (2017), China Medical Science and Technology Award (2016), Shanghai Science & Technology Award (2010), Shanghai Medical Science & Technology Award (2008).

Senior Lecturer, Computer Science. He won full scholarship through nation wide competition for his university education, received the BEng Degree in Computer Engineering with first class degree at national best (at the time) Computer Science Department, and completed PhD in Computer Science with distinction at national best (at the time) Computer Science Department.

Professor and Chair of the Department of Computer Science at Virginia Commonwealth University. Prof. Cios directs Data Mining and Biomedical Informatics Lab. His research interests are in the areas of big data mining, machine learning, and biomedical informatics. He published three books and over 200 journals and conference papers. Dr. Cios has been the recipient of the Norbert Wiener Outstanding Paper Award, the Neurocomputing Best Paper Award, the University of Toledo Outstanding Faculty Research Award, and the Fulbright Senior Scholar Award. He graduated from King Jagiello High School. He received his M.S and Ph.D. degrees from the AGH University of Science and Technology, Krakow, D.Sc. (habilitation) from the Polish Academy of Science, and MBA from the University of Toledo. Dr. Cios is a Foreign Member of the Polish Academy of Arts and Sciences and a Fellow of the American Institute for Medical and Biological Engineering.

Alfredo Cuzzocrea is an associate professor in computer engineering with the University of Calabria, Rende, Italy. He is the Head of the Big Data Engineering and Analytics Lab of the University of Calabria. His current research interests include span the following scientific fields: big data, database systems, data mining, data warehousing, and knowledge discovery. He is author or co-author of more than 520 papers in international conferences, international journals and international books. He is recognized in prestigious international research rankings, such as: (i) Top Scientists in Computer Science and Electronics by Guide2Research, Clifton, NJ, USA; (ii) Top Italian Scientists in Computer Sciences by Virtual Italian Academy, Manchester, UK; (iii) Top Researchers in Computer Science 2013–2018 by SciVal Elsevier, Amsterdam, Netherlands.

Professor and PhD Supervisor at the Institute of Automation, Chinese Academy of Sciences (CAS). He is a recipient of the National Science Fund for Excellent Young Scholars and the Beijing Outstanding Young Scientist Award. He has been recognized among the World's Top 2% Most-Cited Scientists and was honored as a Young Scientist by the China Society of Image and Graphics. He has also received the Zhongguancun Award for Outstanding Young Scientists of Beijing and the First Prize of the Chinese Medical Science and Technology Award.

Dr. Anastasios Dounis is a professor at the Department of Biomedical Engineering of the University of West Attica with the subject “Expert Systems of Fuzzy logic and Evolutionary Computation”. He graduated from the Department of Physics of the University of Patras and continued his postgraduate studies at National and Kapodistrian University of Athens from which he received a MSc in Electronic Automation and a PhD from the Department of Electronic Engineering of the Technical University of Crete

Full professor, head of the Neurocognitive Laboratory at the Interdisciplinary Center for Modern Technologies and the Neuroinformatics and Artificial Intelligence team at the University Center of Excellence for Dynamics, Mathematical Analysis, and Artificial Intelligence. He is a member of the Department of Applied Computer Science at Nicolaus Copernicus University in Toruń. He also served as a Nanyang Visiting Professor and Visiting Professor at the School of Computer Engineering, Nanyang Technological University, Singapore (2003–2012). He is a member of the editorial boards of 16 international scientific journals. He is a co-founder of numerous scientific societies (computational physics, neural networks, cognitive science, artificial intelligence) and journals related to these disciplines. He served two terms as President of the European Neural Networks Society (2006–2008–2011), and in 2013 was elected a Fellow of the International Neural Networks Society. He is an active member of the IEEE CIS technical committee, an expert on European Union research programs, and a member of the Commission on Complex Systems of the Polish Academy of Arts and Sciences.

Ayman El-Baz, Ph.D., Professor in the Department of Bioengineering at the University of Louisville, KY. Dr. El-Baz has twelve years of hands-on experience in the fields of bioimaging modeling, and computer-assisted diagnostic systems. He has developed new techniques for analyzing 3D medical images. His work has been reported at several prestigious international conferences (e.g., CVPR, ICCV, MICCAI, etc.) and in journals (e.g., IEEE TIP, IEEE TBME, IEEE TITB, Brain, etc.). His work related to novel image analysis techniques for lung cancer and autism diagnosis has earned him multiple awards, including first place at the annual Research Louisville 2002, 2005, 2006, 2007, 2008, 2010, 2011, and 2012 meetings, and the "Best Paper Award in Medical Image Processing" from the prestigious ICGST International Conference on Graphics, Vision and Image Processing (GVIP-2005). Dr. El-Baz has authored or coauthored more than 300 technical articles.

Adel S. Elmaghraby, an IEEE Life Senior Member, is the Speed School Director of Industrial Research and Innovation and Winnia Professor of CSE and former chairman of the Computer Engineering and Computer Science Department at the University of Louisville. He has also held appointments at Carnegie Mellon's Software Engineering Institute and the University of Wisconsin-Madison, and has advised over 60 master's graduates and 24 doctoral graduates. His research and publications span intelligent systems, neural networks, cyber-security, visualization and simulation. The IEEE-Computer Society has recognized his work with multiple awards including a Golden Core membership.

Professor at the UDC (2019) associated with the Computer Science Department of the Faculty of Informatics; he holds a degree in Physics from the USC (1989) and a PhD in Physics from the USC (1997). In 2003, he created the Computer Vision and Pattern Recognition Group, VARPA, of which he is coordinator for more than 15 years. During that time, the group obtained recognition from the Xunta de Galicia as a Competitive Reference Group. He is currently Director of the Singular Center for Research in Information and Communication Technologies, CITIC, a center that has the highest qualification in the Xunta de Galicia and has become part of the research group Interdisciplinary Laboratory of Applications of Artificial Intelligence LIA[2], focusing his current line of research on the integration of AI in Astrophysics. He is part of the CSIC Associated Unit "AIRExS: ARTIFICIAL INTELLIGENCE FOR RESEARCH ON EXOPLANETS AND STARS". He has directed 13 doctoral theses, published more than 75 articles in high-impact journals, and presented more than 100 papers at international conferences. He also belongs to a large number of scientific and technical committees linked to research activities (national and international journals and conferences) and has participated in project evaluation committees at various regional agencies, in addition to ANECA, ANEP, and CYTED.

Runwei Guan is currently a research fellow affiliated at Thrust of AI, Hong Kong University of Science and Technology (GuangZhou). He received his PhD degree from University of Liverpool in 2024 and M.S. degree in Data Science from University of Southampton in 2021. He was also a researcher of the Alan Turing Institute and King's College London. His research interests include radar perception, multi-sensor fusion, vision-language learning, lightweight neural network, multi-task learning and statistical machine learning. He has published more than 40 papers in refereed conference proceedings and journals such as TII, TIV, TITS, TCSVT, TMC, Information Fusion, Pattern Recognition, ASOC, ESWA, RAS, Neural Networks, AAAI, NeurlPS, ICML, ICLR, ICRA, IROS, ICASSP, ICME, etc. He serves as the peer reviewer of TITS, TNNLS, TIV, TCSVT, ITSC, ICRA, RAS, EAAI, MM, CVPR, ICLR, AAAI, MM, ECCV, etc.

Rémy Guillevin is a Professor at the University of Poitiers and the Centre Hospitalier Universitaire (CHU) de Poitiers, France. He is also affiliated with the Centre National de la Recherche Scientifique (CNRS), Paris, France. He currently serves as Head of the Department of Radiology at the University Hospital of Poitiers. Prof. Guillevin's research interests focus on neuroimaging and cerebrovascular diseases, with particular emphasis on glioma, gliomatosis cerebri, brain tumors, progressive hemifacial atrophy, and thrombectomy.

Professor Gumbs is the Director of Artificial Intelligence Surgery at the Hôpital Antoine Béclère, Assistance Publique-Hôpitaux de Paris. He is the Chief Medical Officer of ACCREA Medical Robotics, which specializes in collaborative interventional robotics. He is also the President and founder of the Artificial Intelligence Organization for the Next generation of Surgeons (AIONS.ai). Professor of Surgery at Grigol Robakidze University and the University of Magdeburg, he was previously Director of the Minimally Invasive Hepatic-Pancreatic-Biliary Surgery Program at SMG-MD Anderson Cancer Center and prior to that the Director of Minimally Invasive Hepatobiliary Surgery and at Fox Chase Cancer Center in Philadelphia, Pennsylvania. He has been Instructor of Clinical Surgery at Cornell-Weill Medical College, Instructor of Clinical Surgery at Columbia University College of Physicians and Surgeons, and Assistant Professor of Surgery in the Department of Surgical Oncology at Fox Chase Cancer Center. He is certified in general surgery, hepatic-pancreatic and biliary surgery, robotic, minimally invasive surgery, and interventional flexible endoscopy. He has delivered local, regional, national, and international invited presentations primarily devoted to minimally invasive surgical techniques for the liver, pancreas, and digestive organs and artificial intelligence surgery.

Professor Pankaj Gupta is a Senior Professor in the Department of Operational Research at the University of Delhi. He serves as a core faculty member and has also held the position of Head of the Department at the university.

Professor, Information Systems Engineering, Concordia University. Director of VISSTAL Laboratory Hamza Computers in biology and medicine.

Professor (Full) at Immanuel Kant Baltic Federal University.  He is Head of Neuroscience and Cognitive Technology Lab at Innopolis University. He earned his Diploma of Higher Education at Saratov State University in 1995, his PhD in Radiophysics from Saratov State University in 1999, and his Full Doctor Degree in 2005. 

Executive Dean of the School of Medical Technology, Executive Dean of the Institute of Medical Engineering Integration, Professor, and Doctoral Supervisor. Selected for the National "Overseas High-Level Talent Introduction Program" in 2011, Chief Scientist of the 973 Program, recipient of the State Council Special Government Allowance, Fellow of the Institution of Engineering and Technology (IET), Fellow of the Institute of Electrical and Electronics Engineers (IEEE), and Fellow of the Asia-Pacific Association for Artificial Intelligence (AAIA).

Yisen Huang received the B.Eng. degree in Vehicle Engineering from Central South University, China, in 2019, and the Ph.D. degree in Surgical Robotics from The Chinese University of Hong Kong, Hong Kong SAR, China, in 2024. He is currently affiliated with the Department of Surgery, Faculty of Medicine, The Chinese University of Hong Kong. His research interests include surgical robotics, medical robotics, and intelligent technologies for minimally invasive surgery.

Donato Impedovo is an Associate Professor with the Department of Computer Science, University of Bari Aldo Moro, Bari, Italy. His research interests encompass signal processing, pattern recognition, computer vision, machine learning, and biometrics, with applications in security, e-health, and smart environments. He has published extensively in these areas and serves as Associate Editor for several international journals. Prof. Impedovo is a Senior Member of IEEE and a member of the International Association for Pattern Recognition (IAPR).

S. M. Riazul Islam is an Associate Professor (Senior Lecturer) of Computing Science at the University of Aberdeen, UK. His prior affiliations were with the University of Huddersfield, Sejong University, Inha University, Samsung R&D Institute, and the University of Dhaka. He has a Ph.D. in Information Engineering. Dr Islam is a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE) and he is also a Fellow of the Higher Education Academy (FHEA). His research interests include Applied Artificial Intelligence (AI), Medical Diagnosis, Digital Health, Inclusive AI, and Internet of Things.

Ankush Jamthikar is a Research Associate I at Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey, USA.

Dr. Jay Kalra, an educator, researcher, and quality health care advocate, is a Professor of Pathology in the College of Medicine at the University of Saskatchewan and has served as Head of the Department of Pathology (1991-2000) and Head of the Department of Laboratory Medicine, Saskatoon District Health (1994-2000). Dr. Kalra received his Doctorate of Philosophy (Ph.D.) degree in Biochemistry and Doctor of Medicine (M.D.) degree from Memorial University of Newfoundland, St. John's. After finishing his internship in St. John's he completed his residency training for Pathology and Laboratory Medicine Specialty in Ottawa to receive Certification in Medical Biochemistry from the Royal College of Physicians and Surgeons of Canada. He is a Fellow of the Royal College of Physicians and Surgeons of Canada (FRCPC), the Canadian Academy of Health Science (FCAHS), and an Elected Fellow of the Royal Society of Medicine, UK.

Uzay Kaymak is a Full Professor and Chair of Information Systems in Health Care at Eindhoven University of Technology (TU/e). His research focuses on intelligent decision support systems, data and process mining and computational modeling methods. He has held various positions at Shell International Exploration and Production, Erasmus University Rotterdam, the Netherlands, and Salford University in United He has (co)-authored more than 250 scientific publications in the fields of intelligent systems, computerized decision support and computational intelligence. Uzay is a board member of the TU/e Clinical Informatics study program (two-year post-master PDEng study) and a member of the program and/or organization committee of multiple international conferences. He also holds a visiting professor position at the Zhejiang University, China.

Fahmi Khalifa received his BS and MS degrees in Electronics and Electrical Communication Engineering from Mansoura University, Egypt in 2003 and 2007, respectively. He received his PhD degree in 2014 in Electrical Engineering from the Electrical and Computer Engineering Department (ECE), University of Louisville (UofL), USA. Dr. Khalifa has more than 14 years of hands-on experience in the fields of Artificial Intelligence, image/signal processing, machine learning, biomedical data analysis, and computer-aided diagnosis.

 Dr. Khalifa's honors and awards include Mansoura University scholarship for distinctive undergraduate students for four consecutive years, Theobald Scholarship Award in 2013 (ECE, UofL), the ECE Outstanding Student award for two times in 2012 and 2014 (ECE, UofL), the John M. Houchens award for the outstanding dissertation (UofL), the second-place Post-Doctoral Fellow award in 2014 Research! Louisville, UofL. He was the recipient of the PowerLIVE Award for Faculty commitment to students and their academic success, and final list for the “Instructional Innovator of the Year”, Morgan State University, 2023

Antonio Lanatà, Ph.D., is an associate professor of Bioengineering at the Department of Information Engineering at the University of Florence. In 2004, he joined the "E. Piaggio" Research Center for Bioengineering and Robotics in Pisa and joined the University of Florence in 2020. His research interests include the design and implementation of wearable systems for physiological monitoring and statistical and nonlinear processing of biomedical signals. Applications of his research include the assessment and modeling of autonomic nervous system activity in affective computing, mood and mental/neurological disorders, and human-animal-robot interaction. He has authored numerous international scientific papers in these areas, published in peer-reviewed international journals, conference proceedings, books, and book chapters. He has participated in several European Community international research projects and has been invited to speak at several international conferences. Professor Lanatà serves as a reviewer for numerous international journals and research funding agencies, and is a member of the program and scientific committees of annual international conferences. He is also an associate editor for several international journals.

Xueping Li is a Professor of Industrial and Systems Engineering at the University of Tennessee, Knoxville. He serves as the Director of the Ideation Laboratory (iLab) and co-Director of the Health Innovation Technology and Simulation (HITS) Lab. He earned his Ph.D. from Arizona State University. Dr. Li's research focuses on complex system modeling, simulation, and optimization, with applications spanning supply chain logistics, healthcare, and energy systems. He is a Fellow of the Institute of Industrial and Systems Engineers (IISE) and a member of IEEE, ASEE, and INFORMS.

Zihuai Lin (S’98–M’06–SM’10) received the Ph.D. degree in Electrical Engineering from Chalmers University of Technology, Sweden, in 2006. Prior to this, he worked at Ericsson Research, Stockholm, Sweden. Following his Ph.D. graduation, he worked as an Associate Professor at Aalborg University, Denmark. He is currently an Associate Professor at the School of Electrical and Computer Engineering at the University of Sydney, Australia. His research interests include IoT Wireless sensing and networking, 5G/6G cellular systems, IoT in healthcare,TeraHertz communications, see-through wall radar imaging, Ghost Imaging, wireless Artificial Intelligence (AI), AI based ECG/EEG signal analysis, information theory, communication theory, source/channel/network coding, coded modulation, MIMO, OFDMA, SC-FDMA, radio resource management, cooperative communications, small-cell networks and others.

Wing-Kuen Ling is a Professor at Guangdong University of Technology, China, an IET Fellow, and a Pearl River Scholar of Guangdong Province. His research interests focus on signal, image, and video processing. He has published two books, five book chapters, more than 100 SCI-indexed journal papers, and over 100 conference papers, and holds 26 patents. He has received numerous national and international awards, including the First Prize of Guangzhou Science and Technology Progress Award and seven IEEE Best Paper Awards. Prof. [Name] has delivered invited keynote, plenary, and tutorial speeches at major international conferences and serves on several technical committees of IEEE societies. He is currently an Associate Editor for 11 international journals and has organized numerous international conferences and special sessions.

Haipeng Liu is an Assistant Professor at Coventry University, UK. His research interests include computational modelling of cardiovascular and cerebrovascular diseases, artificial intelligence-assisted diagnosis, and wearable sensor technologies. He has served as a guest lecturer at the European Institute of Innovation and Technology (EIT) Summer School, University Hospitals Coventry and Warwickshire NHS Trust, Nottingham Trent University, and Rushford Business School. Dr. Liu is a member of the World Stroke Organization (WSO), the Chinese Stroke Association (CSA), the British Society for Cardiovascular Research (BSCR), and the Cardiovascular Analytics Group (CVAG), Hong Kong, China.

Nicola Luigi Bragazzi got his MD in general medicine and surgery from Genoa University (Genoa, Italy) in 2011, his PhD in biophysics from Marburg University (Marburg, Germany) in 2014 and his specialization in Public Health from Genoa University (Genoa, Italy) in 2017. He is a member of the Cochrane Association (Cochrane Reviewer) for the Cochrane Epilepsy Group. He has been awarded Young Knight of the Italian Republic by the President Carlo Azeglio Ciampi in 2005. Recently, in 2019, he has been nominated as one of the top five biomedical researchers worldwide aged less than 40 years in terms of number of publications, articles in Q1 biomedical journals, total impact factor and h-index. He is currently working on infectious disease and vaccination modelling and big data mining in biomedicine at York University.

Xiaoke Ma is a Professor and Ph.D. supervisor at Xidian University, China. His research interests focus on data mining, machine learning, medical image analysis, and bioinformatics. He received his Ph.D. in Computer Science from Xidian University and completed postdoctoral research at the University of Iowa, USA. Prof. Ma has published over 100 SCI-indexed papers in leading journals, including Science Immunology, Cell Stem Cell, PNAS, Nature Communications, IEEE TPAMI, and IEEE TKDE. His publications have received more than 4,000 citations, and several papers have been recognized as ESI Highly Cited Papers. He has led numerous national and provincial research projects and received several prestigious awards, including the Wu Wenjun Artificial Intelligence Natural Science Award. He is listed among the World's Top 2% Scientists and actively serves the research community as a reviewer and editorial board member for international journals.

Xuelei Ma is a Professor and Ph.D. supervisor at West China Hospital, Sichuan University, China. He serves as Deputy Director (Clinical Affairs) of the Department of Biotherapy, Cancer Center, and Deputy Director of the Stem Cell Research and Translational Medicine Laboratory. He is a recipient of the Young Changjiang Scholar Award of the Ministry of Education of China and the Tianfu Qingcheng Science and Technology Talent Program. He has been listed among the World's Top 2% Scientists for four consecutive years and received the Innovation Contribution Award for Emerging Scientists and Technologists in China.

Dr George Magoulas is Professor of Computer Science at Birkbeck's School of Computing & Mathematical Sciences, and Director of the Birkbeck Knowledge Lab, University of London.  The Knowledge Lab pursues research on digital technologies, digital information and artificial intelligence and investigates how developments in these areas are transforming the way people learn, work and communicate.

Mrinal Mandal is a Professor with the Department of Electrical and Computer Engineering, University of Alberta, Canada. He has published extensively in these areas and has authored several books and book chapters. Prof. Mandal is a Fellow of the Canadian Academy of Engineering, the Engineering Institute of Canada, the Institution of Engineering and Technology (IET), and the Canadian Society for Evolving Intelligence. He has served in numerous editorial and leadership roles in international journals, conferences, and professional societies.

Francesco Mercaldo is a professor with the Department of Medicine and Health Sciences “Vincenzo Tiberio”, University of Molise, Campobasso, Italy. His research interests encompass artificial intelligence, machine learning, explainable AI, cybersecurity, and medical image analysis. He received his Ph.D. in Information Engineering from the University of Sannio and previously conducted postdoctoral research at the National Research Council (CNR), Italy. He has published numerous papers in leading international journals and conferences and is actively involved in interdisciplinary research at the intersection of AI, healthcare, and cybersecurity.

Jianwei Niu is a Tenured Professor and Blue Sky Distinguished Professor at Beihang University, China, and Deputy Director of the Embodied Intelligence Robotics Institute. He is an IEEE Fellow and a Visiting Scholar of Carnegie Mellon University, USA. His research interests include industrial internet, embodied intelligence, robotics, industrial big data, and intelligent systems. Prof. Niu has been listed among the World's Top 2% Scientists for the past decade and serves in leadership roles in several national and international professional organizations. He received the First Prize of the Ministry of Education Technological Invention Award in 2013 and the First Prize of the Science and Technology Progress Award in 2024.

George Notas is a Professor of Emergency Medicine at the University of Crete School of Medicine, Greece. He served as director of the Emergency Department of the University Hospital of Heraklion (2020-2022). Dr. Notas received his Medical degree from the University of Crete with honors and his doctorate also from UC. He specialized in Internal Medicine and subspecialized in Emergency Medicine while he was a postdoctoral researcher at the Medical School of UCSD, in San Diego, USA. He is also a collaborating member of the Institute for Applied and Computational Mathematics and Computer Science of the Foundation for Research and Technology Hellas (FORTH), a member of the Scientific Council of the Greek Ambulance Servidce (EKAB, 2022-present), and an EU expert for the evaluation of funding proposals (2020-present).

Dr. Notas has served as a member (2019-2022), vice-president (2022-2025), and general secretary (2025-present) of the Hellenic Society of Emergency Medicine and is an active member of the Digital Group of the European Society for Emergency Medicine (EuSEM).

JungHwan Oh is an Associate Professor in the Department of Computer Science and Engineering at the University of North Texas, Denton, USA. He received his M.S. and Ph.D. degrees in Computer Science from the University of Central Florida in 1998 and 2000, respectively. His research interests include medical image and video analysis, computer vision, image and video database management systems, and multimedia information processing. Dr. Oh has published extensively in these areas and has contributed to interdisciplinary research involving biomedical imaging and intelligent multimedia systems. He actively serves the research community through participation in international conferences and scholarly activities.

Dr. Peichen Pan is a Distinguished Research Fellow and Doctoral Supervisor at the College of Pharmaceutical Sciences, Zhejiang University in Hangzhou, China. His research heavily focuses on computer-aided drug design, structural biology, and targeted therapeutics for cancers, particularly Glioma and Glioblastoma multiforme (GBM). 

Yu Pan is a Professor and Chief Physician and serves as Director of the Department of Rehabilitation Medicine at Beijing Tsinghua Changgung Hospital, China. She received his Ph.D. in Rehabilitation Medicine from Capital Medical University. She received the Science and Technology Progress Award from the Chinese Association of Rehabilitation Medicine in 2019 and holds leadership positions in several national professional societies. She also serves on the editorial boards of journals in rehabilitation medicine and related fields.

Witold Pedrycz (IEEE Life Fellow) is Professor in the Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada. He is also with the Systems Research Institute of the Polish Academy of Sciences, Warsaw, Poland. Dr. Pedrycz is a foreign member of the Polish Academy of Sciences and a Fellow of the Royal Society of Canada. He is a recipient of several awards including Norbert Wiener award from the IEEE Systems, Man, and Cybernetics Society, IEEE Canada Computer Engineering Medal, a Cajastur Prize for Soft Computing from the European Centre for Soft Computing, a Killam Prize, a Fuzzy Pioneer Award from the IEEE Computational Intelligence Society, and 2019 Meritorious Service Award from the IEEE Systems Man and Cybernetics Society.

Prof. Dr. Alexander N. Pisarchik received his Bachelor’s Degree in Physics from Belarusian State University in 1976 and a PhD in Physics and Mathematics, Optics and Quantum Electronics from the Institute of Physics, Belarus Academy of Sciences in 1990. He also completed special courses in Nonlinear Dynamics in Physiology and Medicine from McGill University in 2007. He was a professor at the Center for Optical Research in Leon, Mexico (1999–2015). In 2013, he became the Isaac-Peral Chair in Computational Systems at the Center for Biomedical Technology, Technical University of Madrid. Prof. Pisarchik has received multiple awards, including First Prize from the Belarus Academy of Science and Second Prize from the Institute of Physics. 

Dawid Polap is an Associate Professor with the Faculty of Applied Mathematics, Silesian University of Technology, Gliwice, Poland. His research interests include artificial intelligence, machine learning, deep learning, computer vision, image processing, optimization methods, and intelligent systems, with applications in healthcare and biomedical engineering. He has published extensively in leading international journals and conferences and has contributed to numerous interdisciplinary research projects. Dr. Połap actively serves the scientific community through editorial activities and participation in international conferences and professional societies.

Mihalil Popescu, PhD, researches artificial intelligence including convolutional neural networks (CNNs) and large language models (LLMs) as well as biomedical intelligent monitoring systems and eldercare technologies. His current research focuses on developing decision support systems for eldercare and chronic disease management. Chronic diseases such as diabetes, heart failure or depression decrease the quality of life and increase the risk of re-hospitalization. Dr. Popescu is currently investigating new technologies for eldercare such as new sensors (radar, infrared and depth cameras), new monitoring technologies and new artificial intelligence algorithms for early illness recognition and aging in place. Dr. Popescu is developing knowledge extraction and representation methodologies using large language models to address information explosion and personalized medicine.

Dr Mukesh Prasad is an Associate Professor in the School of Computer Science, Faculty of Engineering and IT at the University of Technology Sydney (UTS). He has made significant contributions to the fields of Machine Learning, Artificial Intelligence, Data Analytics, and Natural Language Processing.

His research interests also span several emerging areas, including Big Data, Computer Vision, Brain-Computer Interfaces, Evolutionary Computation, and the Internet of Things (IoT). These technologies are shaping next-generation applications across diverse sectors such as healthcare, biomedical science, agriculture, smart cities, education, marketing, and finance. He has authored more than 200 peer-reviewed research papers in leading journals and conferences, including publications in high-impact venues such as IEEE, ACM Transactions, Springer Nature and Elsevier.

Minghui Qian is a Professor at Renmin University of China, where he serves as Director of the Office of Scientific Research and the Journal Management Center. He is also a Wu Yuzhang Distinguished Professor, Secretary-General of the Institute for Digital Humanities, and Deputy Director of the Information Analysis Research Center. His research focuses on data management, information analysis, and brand decision-making. He has led over 40 national and ministerial-level projects, published more than 140 papers and 12 monographs, and received nearly 50 academic and teaching awards, including top honors from the Ministry of Education and the National Intellectual Property Administration.

Marek Reformat is Professor and Associate Chair of Graduate Studies in the Department. In addition, he is an Associate Editor of a number of journals related to computational intelligence and software engineering. He has been a member of program committees of several conferences related to those areas. He is actively involved in North American Fuzzy Information Processing Society (NAFIPS). He is a member of the IEEE and ACM.

Professor Hongliang Ren received his Ph.D. in Electronic Engineering (Specialized in Biomedical Engineering) from The Chinese University of Hong Kong (CUHK) in 2008. He has been navigating his academic journey through Chinese University of Hong Kong, UC Berkeley, Johns Hopkins University, Children’s Hospital Boston, Harvard Medical School, Children’s National Medical Center, United States, and National University of Singapore. He has served as an Associate Editor for IEEE Transactions on Automation Science & Engineering (T-ASE) and Medical & Biological Engineering & Computing (MBEC). He has served as an active organizer and contributor on the committees of numerous robotics conferences, including a variety of roles in the flagship IEEE Conf. on Robotics and Automation (ICRA), IEEE Conf. on Intelligent Robots and Systems (IROS), as well as other domain conferences such as MICCAI/ROBIO/BIOROB/ICIA/CVPR. He served as publicity chair for ICRA 2017, concurrently as Organizing Chair for ICRA 2017 workshop on Surgical Robots, and video chair for ICRA 2021. He has delivered numerous invited keynotes/talks at flagship conferences/workshops at ICRA/IROS/ROBIO/MICCAI/CVPR/ICIA. He is the recipient of IFMBE/IAMBE Early Career Award 2018, Interstellar Early Career Investigator Award 2018, Health Longevity Catalyst Award (2022 by NAM & RGC), NUS Engineering Young Researcher Award (2019), Interstellar Early Career Investigator Award (2018), ICBHI (Biomedical and Health Informatics) Young Investigator Award (2019), NUS Young Investigator Award (2013), EMedic Global Gold Medal (2017) and Silver Medal (2021), Best Paper Awards in IEEE-ROBIO (2019 & 2013), IEEE-RCAR2016, IEEE-CCECE2015, IEEE-Cyber2014 among 30+ others awards.

Since 2006, he holds a PhD in Computer Science. His research interest is focused on Computer Vision and Deep Learning. His scientific production and lecturer activities began in 2003 and 2005, respectively. He has held different positions as researcher and teaching staff at the universities of Cádiz, Granada, and Jaén. He is Associate Professor at the department of computer science of the University of Jaén since 2016. He is in charge of the "Applied Computational Engineering" Research Group. During more than 20 years of research experience, he has successfully supervised several master degree and PhD students. Moreover, he has participated as principal researcher and team member in more than 10 research projects funded at regional, national and European level (e.g. FP7 Programme). Since 2003, he has published more than 80 scientific contributions, with more than forty papers being accepted by international journals indexed in the JCR database, most of them ranked first quartile (Q1). Moreover, the quality of his scientific production shows average values ​​of more than 6K and 25 of accumulated citations and H-index, respectively, according to the Scopus, Google Scholar and WoS platforms. Also, several of his contributions are considered highly cited papers, with more than 1K citations in some cases. He is co-inventor of a patent with  international coverage (US20120182294A1). Additionally, he has been awarded with the  "IFSA Award for Outstanding Applications of Fuzzy Technology". He actively performs professional tasks as reviewer, guest editor, and editorial board member for several renowned international journals, e.g.  Computational Intelligence,  Computer Methods and Programs in Biomedicine, among others. He is an exper evaluator for the European Commission. The research group he leads has managed to forge several international collaborations with international academic and research institutions, e.g. the school of communication and information engineering at Shanghai University and the Queensland University of Technology, both academic institutions ranked among the top 201-300 universities according to the Shanghai Academic Ranking of World Universities.  

Full Professor at the University of Pernambuco (UPE), with a background encompassing Master's and Doctoral degrees in Medicine and Health from the Faculty of Medicine of Bahia (FMB) at the Federal University of Bahia (UFBA). Additionally, holds a Bachelor's degree in Physical Education (Full Degree) from the School of Physical Education, Physiotherapy, and Dance (ESEFID) at the Federal University of Rio Grande do Sul (UFRGS). He is currently a Professor of the Graduate Program in Rehabilitation and Functional Performance (PPGRDF) at the UPE Petrolina and a Professor of the Graduate Program in Health Sciences (PPGCS) at UPE Santo Amaro. Additionally, he participates as a guest expert on the Brazilian Paralympic Committee (CPB). At UPE Petrolina, he is a leader of the Human Performance Research Group (GPEDH), researching at the Human Performance Research Laboratory (LAPEDH) and advising Academic masters and doctorates.

Wei Shao is a Professor and Ph.D. supervisor with the College of Computer Science and Technology/College of Artificial Intelligence, Nanjing University of Aeronautics and Astronautics, China, and a recipient of a national young talent program. He received his Ph.D. degree from Nanjing University of Aeronautics and Astronautics and completed postdoctoral training at the Indiana University School of Medicine, USA. His research interests include machine learning, computer vision, and medical image analysis. He currently leads projects funded by the National Natural Science Foundation of China and was listed among the World's Top 2% Scientists by Stanford University in 2024. His work has received the MICCAI Young Scientist Award twice, and he actively serves several professional societies in medical image computing, bioinformatics, and machine learning.

Dr. Patricia A. Shewokis is a tenured Associate Professor, Movement Scientist and Biostatistician in the College of Nursing and Health Professions at Drexel University and she has a joint appointment in the School of Biomedical Engineering, Science and Health Systems (BIOMED). Her PhD is in the Psychology of Motor Behavior which she earned from the University of Georgia with cognates in Biomechanics; Research Design/Statistics. Dr. Shewokis is part of the College's Interdisciplinary Research Unit and is a Graduate Research Support Faculty member. She has extensive training and experience in research design and statistics and serves a biostatistician and methodologist for the College.

In August, 2001, Dr. Shewokis joined the faculty after working as a tenured, Associate Professor of Kinesiology at Bowling Green State University. She holds her PhD from the University of Georgia in the Psychology of Motor Behavior with cognates in Biomechanics and Research Design/Statistics. Dr. Shewokis has served as a statistical consultant for faculty and/or students at the University of Georgia, Bowling Green State University, Thomas Jefferson University, Temple University and Drexel University. Dr. Shewokis is a member of the Scientific Staff at Shriners Hospital for Children and she is involved with several interdisciplinary collaborations within and external to the College and University.

Qiongfeng Shi is a Professor and Ph.D. supervisor at Southeast University, China, and a recipient of a National High-Level Young Talent Program. He received his Ph.D. degree in Electrical and Computer Engineering from the National University of Singapore and conducted postdoctoral research there from 2018 to 2022. His research interests focus on flexible electronics, multimodal sensing, energy harvesting, MEMS, and intelligent human–machine systems. He has published more than 100 papers in leading journals, including Nature Communications, Science Advances, Advanced Materials, Materials Today, and ACS Nano. His work has received over 11,000 citations, with an H-index of 56, and includes multiple ESI Highly Cited Papers and an ESI Hot Paper.

Ali Hassan Sodhro (Ph.D., IEEE Senior Member) is a Senior Lecturer with the Department of Computer Science, Kristianstad University, Sweden. He received his Ph.D. degree from the Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, and the University of Chinese Academy of Sciences, China. His research interests include the Internet of Things, wireless communications, intelligent transportation systems, mobile computing, and AI-driven healthcare. He has published more than 80 papers in leading international journals and conferences and has contributed several book chapters published by Springer, Elsevier, and CRC Press.

Lampros Stergioulas is affiliated to The Hague University of Applied Sciences as a professor of Data Science and AI. At the Faculty IT & Design he leads the Data Science research group. Previously he was a chaired professor in Business Analytics and Computer Science at Surrey Business School of the University of Surrey (South-East England) and in the Department of Computer Science of Brunel University London. Since January 2022, he is the holder of the Unesco Chair 'Artificial Intelligence and Data Science for Society' awarded to THUAS for four years. 

Jasjit S. Suri is the Founder and Chief Technology Officer at the Stroke and Cardiovascular Disease Monitoring and Diagnostic Division, AtheroPoint(TM), Roseville, CA, USA. He completed his Ph.D. in Electrical Engineering at the University of Washington and his MBA at the Weatherhead School of Management at Case Western Reserve University. He is an innovator, a visionary, a scientist, and an internationally known world leader in biomedical engineering and its management. He is a fellow of the American Institute of Medical and Biological Engineering, the American Society of Ultrasound in Medicine, the Society of Vascular Medicine, the Institute of Electrical and Electronics Engineering (IEEE), the Asia Pacific Vascular Society, and the Asia Pacific Association of Artificial Intelligence. He was a recipient of the Lifetime Achievement Award from Marquis and Graphics Era University.

Kenji Suzuki is a Professor and Director of the BioMedical Artificial Intelligence Research Unit, Institute of Innovative Research, Tokyo Institute of Technology, Yokohama, Japan. His research interests include artificial intelligence, machine learning, deep learning, medical image analysis, computer-aided diagnosis, and biomedical informatics. He has published extensively in these areas and is internationally recognized for his contributions to AI-driven medical imaging and intelligent healthcare systems.

Abdelmalik TALEB-AHMED is a Professor with the LAMIH Laboratory, Université Polytechnique Hauts-de-France, Valenciennes, France. His research interests include image processing, signal processing, pattern recognition, and medical image analysis. He has supervised several Ph.D. students and has published extensively in international journals and conferences. His work focuses on image segmentation, feature extraction, and intelligent analysis methods for biomedical and engineering applications.

Sukun Tian received the Ph.D. degree in Manufacture Engineering of Aeronautics and Astronautics from Nanjing University of Aeronautics and Astronautics, Nanjing, China, in 2020, and Post-Doctoral Fellow in School of Mechanical Engineering, Shandong University, Jinan, China, in 2023. He is currently an Assistant Professor/Associate Researcher and PhD Supervisor with the Center of Digital Dentistry at the Peking University School and Hospital of Stomatology.

Dr. Erfan Babaee Tirkolaee obtained a BSc. (2012) and MSc. (2014) in Industrial Engineering from Isfahan University of Technology, Iran. Then, he received a Ph.D. degree (2019) in Industrial Engineering from Mazandaran University of Science and Technology, Iran. Dr. Erfan Babaee Tirkolaee is currently an Associate Professor in the Department of Industrial Engineering at Istinye University in Istanbul, Turkey. Meanwhile, he worked as a Quality Assurance expert in various automotive industries in Iran and completed different relevant training courses, including ISO 9001:2015 and IATF 16949:2016....

Igor F. Tsigelny is a Research Professor at the Department of Neurosciences, San Diego Supercomputer Center, and Moores Cancer Center. He is a leading expert in structural biology, molecular modeling, bioinformatics, and structure-based drug design. He has a Ph. D. in Physics of Polymers from the Academy of Sciences of Ukraine. He has been a postdoctoral fellow in the University of California in the laboratory of Susan S. Taylor. Dr. Tsigelny published more than 200 papers in scientific journals including the Nature and Science group of journals. He had published and edited 4 scientific books. The book “Protein Structure Prediction: Bioinformatic Approach” that he edited, has been called “The Bible of all current prediction techniques” by BioPlanet Bioinformatics Forums. He has around 15 existing and pending patents. His computational study of molecular mechanisms of Parkinson’s disease has been included in the US Department of Energy publication “Decade of Discovery” where the best computational studies of the decade 1999-2009 have been described.

Ricardo Vardasca holds a BSc (hons) in Information Technology and a PhD in Medical Informatics from the University of South Wales (UK) and a degree in Computer Science Engineering from the Instituto Politecnico de Leiria (Portugal). Actually, he is an integrated researcher at INEGI-LAETA (Portugal), research fellow at the Faculdade de Engenharia da Universidade do Porto (Portugal), external professor at the Faculty of Medicine and Odontology of University of Valencia (Spain), visiting fellow at University of South Wales (UK) and visiting researcher at University of Wollongong (Australia). He currently acts as general secretary of the European Association of Thermology and is am Accredited Senior Imaging Scientist and Fellow of the Royal Photographic Society. He is member of the editorial board of scientific journals: Thermology International, International Journal of E-Health and Imaging Science Journal.

Eugenio Vocaturo is researcher at CNR-Natotec and Contract Professor of Computer Science and Assistant Professor Information Systems and Databases, Data Mining and Process Mining at the Department of Computer Science, Modeling, Electronics and Systems Engineering (DIMES) of University of Calabria. 

Associate Professor Alan Wang is a globally recognized expert in intelligent medical informatics, computational life sciences, and the transformative application of artificial intelligence (AI) in healthcare and beyond. At the University of Auckland, he is a faculty member of the Auckland Bioengineering Institute (ABI) and the Faculty of Medical and Health Sciences (FMHS), where he leads the Medical Imaging Group at ABI, serves as Theme Lead for Technology, Engineering & Digital Economy at the Centre for Co-Created Ageing Research (CCREATE-AGE), and acts as a Principal Investigator at the Centre for Brain Research (CBR) and the Medical Imaging Research Center. Renowned for pioneering AI agents—autonomous systems for clinical and industry solutions—he advances medical imaging, stroke recovery, and aging care. His leadership extends internationally as Theme Editor and Track Chair for Medical Image Computing at IEEE EMBC 2025, and as an editorial board member for journals like European Radiology and Bioengineering. His work bridges cutting-edge research with practical innovation, fostering collaborations across healthcare, technology, and digital economies.

Guotai Wang is a Professor and Ph.D. supervisor at the University of Electronic Science and Technology of China (UESTC). He received dual bachelor's degrees and a master's degree from Shanghai Jiao Tong University and earned his Ph.D. from University College London (UCL), UK. He subsequently conducted postdoctoral research at UCL and King's College London. His research interests include artificial intelligence, machine learning, medical image analysis, and biomedical engineering. He is a recipient of the National Young Talent Program of China and has been listed among the World's Top 2% Scientists by Stanford University since 2021.

Yanfeng Wang is a Professor and Ph.D. supervisor at Shanghai Jiao Tong University, Executive Dean of the School of Artificial Intelligence, and Chair of the Industrial Innovation Research Institute. His research focuses on AI applications in media and healthcare, combining scientific innovation with technology transfer. He has published over 100 papers in top journals and conferences, including Nature Communications, ICCV, and CVPR, and holds over 100 patents, including 18 PCT applications. His work has received multiple awards, including Shanghai Science and Technology Progress First Prizes and the China Electronics Society Science and Technology First Prize.

Fang-Xiang Wu is a Professor and Graduate Chair in the Department of Mechanical Engineering and the Division of Biomedical Engineering at the University of Saskatchewan, Canada. He is an IEEE Fellow and an IET Fellow. His research interests include artificial intelligence, machine learning, computational biology, health informatics, medical image analysis, and complex network analytics. He is internationally recognized for his contributions to computational intelligence and biomedical data analytics and has published extensively in bioinformatics, digital health, and AI-driven healthcare applications.

Jian Yang is a Level-II Professor and Ph.D. supervisor at Beijing Institute of Technology, China, and a recipient of the National Science Fund for Distinguished Young Scholars. His research focuses on surgical navigation robotics, medical image analysis, virtual and augmented reality, intelligent sensing, human–computer interaction, and artificial intelligence. He has published more than 300 SCI-indexed papers in leading journals, including Medical Image Analysis and IEEE Transactions on Medical Imaging, and holds over 140 granted patents. His work has received numerous awards, including the Second Prize of the National Technological Invention Award and the First Prize of the Wu Wenjun Artificial Intelligence Science and Technology Award.

Qi Yang is a Professor at Beijing Chao-Yang Hospital, Capital Medical University, China. His research focuses on neurovascular imaging, cardiovascular imaging, and advanced MRI techniques, particularly high-resolution vessel wall imaging and quantitative imaging biomarkers for cerebrovascular disease. He has published extensively in leading radiology and neurology journals, including Stroke, European Radiology, and AJNR, and has contributed to multiple clinically translated imaging technologies. He has received several major national awards for innovations in cerebrovascular imaging.

Professor, Chief Physician, and Ph.D. supervisor in Surgery and Biomedical Engineering at Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, China. He is Director of the Intelligent Medicine Research Center and Editor-in-Chief of Global Health Journal. His research focuses on intelligent medicine, digital surgery, and AI-enabled healthcare systems. He holds multiple leadership positions in national medical and engineering societies and is recognized as a pioneer in intelligent medicine in China.

Xujiong Ye is a Professor of Computer Vision and AI in Healthcare at the Department of Computer Science, University of Exeter, UK. Her primary research focuses on developing computational models using advanced computer vision and multimodal artificial intelligence (AI) to support clinicians in decision-making. Prof Ye is an Honorary Professor at the College of Health and Science, University of Lincoln. She received her PhD, MSc, and BSc from Zhejiang University, China.  

Prof. Ye is a full member of the EPSRC Peer Review College, a member of the UK Research and Innovation Future Leaders Fellowships program Peer Review College, and a reviewer for several high-impact international journals. Prof. Ye served on the Computer Science and Informatics sub-panel (UoA11) in the UK Research Excellence Framework (REF) 2021.

Yu-Dong Zhang received his Ph.D. from the Southeast University. He worked as postdoc from 2010 to 2012 in the Columbia University, USA, and as Assistant Research Scientist from 2012 to 2013 at the Research Foundation of Mental Hygiene, USA. He served as a full professor from 2013 to 2017 in the Nanjing Normal University, where he was the founding director of Advanced Medical Image Processing Group in NJNU.He currently works as Chair Professor in the School of Computing and Mathematical Sciences, University of Leicester, UK. His research interests include explainable deep learning, medical image analysis, paZern recognition and medical sensors.

Prof. Yu-Dong Zhang is the Honorary Follow of World Leadership Academy, Fellow of IET, Fellow of EAI, and Fellow of BCS. He is the Senior Member of IEEE, IES, and ACM. He is the Distinguished Speaker of ACM. He was included in Most Cited Chinese Researchers (Computer Science) by Elsevier from 2014 to 2018. He was 2019, 2021-2024 recipient of Clarivate Highly Cited Researcher. He is included in the World’s Top 2% Scientist by Stanford University from 2020 to 2023. He won the Emerald Citation of Excellence 2017, MDPI Top 10 Most Cited Papers 2015, Information Fusion 2022 Best Paper Award, etc. His three papers are included in the UK Research Excellence Framework (REF) 2021.

Assistant Professor (Research), Psychiatry and Behavioral Sciences
Member, Bio-X
Member, Wu Tsai Human Performance Alliance
Member, Maternal & Child Health Research Institute (MCHRI)
Member, Wu Tsai Neurosciences Institute
Program Committee Member, Society of Biological Psychiatry (2025)
Interdisciplinary Research Excellence Award, Lehigh University (2024)
Senior Member, IEEE (2018-Present)
Technical Program Committee, International Symposium on Biomedical Imaging (2026 - 2026)
Editorial Board Member, Artificial Intelligence in Health (2023 - Present)
Associate Editor, Frontiers in Neuroscience (2020 - Present)
Associate Editor, Network Modeling Analysis in Health Informatics and Bioinformatics (2020 - Present)
Program Chair, International Conference on Brain Informatics (2023 - 2023)
Program Committee Member, International Joint Conference on Artificial Intelligence (2019 - 2020)

Wensheng Zhang is a Distinguished Professor and Executive Dean of the School of Computer Science and Network Engineering at Guangzhou University, China. He is a Chief Scientist of a National Major Project on Artificial Intelligence and a Distinguished Research Fellow of the State Key Laboratory of Multimodal Artificial Intelligence Systems, Chinese Academy of Sciences. His research focuses on artificial intelligence, machine learning, pattern recognition, healthcare big data, and digital twins. He has published more than 210 papers and holds over 70 patents. He has led numerous national research projects and received the Second Prize of the National Science and Technology Progress Award, along with several provincial and ministerial science and technology awards.

Dr. Zhuhuang Zhou is an associate professor of biomedical engineering, Beijing University of Technology. His research interests include biomedical ultrasonics, quantitative ultrasound for biological tissue characterization, ultrasound wave propagation in biological tissues, artificial intelligence in medicine, medical robotics, and medical signal/image processing.

Shangming Zhou is the Deputy Director of the Centre for Health Technology at the Faculty of Health: Medicine, Dentistry and Human Sciences. He is also the Director of NHS Kernow Datalab, and an affiliated investigator with the Health Data Research UK(HDR UK). His research was funded by HDRUK, MRC, EPSRC, HCRW, Charities, and international collaborations. Before joining the University of Plymouth, Shangming worked with the Scottish Digital Health and Care Institute and University of Strathclyde, Swansea University, De Montford University, University of Essex, and Chinese Academy of Sciences.

Dr.Heba M. Afify received a Ph.D. in Bioinformatics at the Biomedical Engineering Department at Cairo University, Egypt in 2012. She is currently an Associate Professor in the biomedical engineering department. Her research interests include biomedical image processing and bioinformatics. Her focus is on the use of artificial intelligence to solve problems in different domains, including cancer detection, and healthcare improvement. She authored many research papers in reputed international and national journals. She is a senior member of the Egyptian Scientific Research School of Egypt (SRSEG). She served as a Reviewer, TPC member, and TPC chair/track chair for various international journals and conferences. She served as associate Editor for Journal of Medical Imaging and Health Informatics (JMIHI), International Journal of Bioinformatics Research (Bioinf Publications), European Journal for Biomedical Informatics, Biomedical Research Journal, Open Life Sciences (De Gruyter), Avicenna Journal of Medical Biotechnology (AJMB), Journal of Medical Engineering & Technology (Taylor & Francis online) and Network: Computation in Neural Systems (Taylor & Francis online). In 2021, she was awarded a postdoctoral Fellowship from the International Centre for Genetic Engineering and Biotechnology (ICGEB), Translational Bioinformatics Group, New Delhi, India.

Qiong Chen is an Associate Professor and Master's supervisor. He completed her postdoctoral training with distinction at the Department of Earth System Science, Tsinghua University, China, and is recognized as a Category C High-Level Talent of the Hainan Free Trade Port. His research interests include medical informatics, artificial intelligence, and healthcare data analytics. He also serves as a member of the Medical Informatics Committee of the Hainan Medical Association.

Sibo Cheng is an associate Research Scientist at Institut Polytechnique de Paris. He obtained his Ph.D degree from Paris-Saclay University. He works mainly on dynamical field prediction using the combination of machine learning, model reduction and data assimilation techniques. His research interests also include image processing and network science.

Bu Chenyang received his Ph.D. with research on dynamic optimization and currently focuses on knowledge-driven offline optimization, large language models, knowledge graphs, and intelligent question answering. He serves as a Senior Program Committee Member of IJCAI and a Program Committee Member for several top-tier conferences, including KDD, AAAI, and ACM Multimedia. He is a Young Editorial Board Member of Artificial Intelligence in Health and previously served as Web Chair of IEEE ICKG. His research has been supported by the National Natural Science Foundation of China and the China Postdoctoral Science Foundation. He received the ICKG 2021 Service Award and was selected for the 2024 Young Talent Support Program of the Anhui Association for Science and Technology.

Dr. Can GAO received the Ph.D. degree from Tongji University, Shanghai, China, in 2013. From 2010 to 2011, he was a Visiting Scholar with the University of Alberta, Edmonton, AB, Canada. From 2015 to 2018, he was a Research Associate, a Post-Doctoral Fellow, and a Research Fellow with The Hong Kong Polytechnic University, Hong Kong. He is currently a Tenured Associate Professor, Distinguished Research Fellow, and Doctoral/Master's Supervisor with the College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China. He has authored or co-authored over 80 papers in top-tier international journals/conferences, including TKDE, TNNLS, TCYB, AAAI, IJCAI, and ACM MM. He holds 7 granted National patents and has been granted over 10 research fundings,  including the National Natural Science Foundation of China (NSFC) Youth Fund,  the NSFC General Program, the sub-project of the Ministry of Science and Technology's Key R&D Program, the Guangdong Provincial Natural Science Foundation, and municipal/university-level projects. His patented industrialization project on textile anomaly detection garnered significant media attention from outlets like Hong Kong's TVB and major global textile industry media. The project was awarded four awards at the 2019 Geneva International Exhibition of Inventions, including the Jury Gold Award, a Special Excellence Award, the Special Grand Prize from the Italian Delegation, and the Grand Prize from the Technical University of Cluj-Napoca, Romania.  His interests include machine learning, computer vision, multimodal anomaly detection, medical anomaly detection, and medical large language models.

Dr. Jiashuang Huang is an associate professor at the School of Artificial Intelligence and Computer Science at Nantong University. He received his Ph.D. degree in College of Computer Science and Technology from Nanjing University of Aeronautics and Astronautics in 2020. From 2018 to 2019, he was a Visiting Scholar at University of Wollongong (UOW), Wollongong , NSW, Australia. His recent research is to analyze the brain network by using machine learning methods. 

Shu Jiang received her Ph.D. degree from Shanghai Jiao Tong University in 2022 and is a recipient of the Jiangsu Province Innovation and Entrepreneurship Doctoral Talent Program. Her research interests include artificial intelligence, deep neural networks, natural language processing, and related applications. She has conducted research collaborations with City University of Hong Kong, Hong Kong University of Science and Technology, and the National Institute of Information and Communications Technology (NICT), Japan. She has published extensively in leading journals and conferences, including IEEE/ACM Transactions on Audio, Speech, and Language Processing and ACM Transactions on Asian and Low-Resource Language Information Processing. She is a member of the Chinese Association for Artificial Intelligence and the China Computer Federation.

Dongyuan Li is currently an Assistant Professor in The University of Tokyo, advised by Prof. Renhe Jiang. And he is also a Research Fellow in Science Tokyo. He has obtained my Ph.D in the Okumura-Funakoshi Lab, Department of Information and Communication Engineering at Tokyo Institute of Technology, advised by Prof. Satoshi Kosugi, Prof. Funakoshi Kotaro and Prof. Okumura Manabu. My research interests lie in Machine Learning, Social Network Analysis and Natural Language Generation.

He Ren is an Associate Professor with the School of Medical Instrumentation, Shanghai University of Medicine and Health Sciences, China. His research interests include multidimensional medical data analysis and heterogeneous medical data modeling. He has participated in several national and provincial research projects and serves as a reviewer for international journals such as Medical & Biological Engineering & Computing and Signal, Image and Video Processing.

Shuo Wang is a Young Research Fellow with the Digital Medicine Research Center, Fudan University, China, and an Honorary Senior Research Fellow at Imperial College London, UK. His research focuses on digital medicine, biomedical engineering, and intelligent healthcare technologies. He serves as Chief Researcher of the Shanghai Collaborative Innovation Center for Endoscopic and Minimally Invasive Surgery and as Associate Editor of BioMedical Engineering Online. He also holds leadership positions in several professional societies related to digital medicine and biomechanics.

Dexian Wang is an Associate Professor and Master's supervisor at Chengdu University of Traditional Chinese Medicine, China. His research interests include artificial intelligence, machine learning, and AI-enabled healthcare applications. He has led projects funded by the National Natural Science Foundation of China and has participated in several National Key R&D Program projects. He has published more than 40 papers in leading journals, including IEEE Transactions on Fuzzy Systems, IEEE Transactions on Systems, Man, and Cybernetics: Systems, IEEE Transactions on Big Data, ACM Transactions on Knowledge Discovery from Data, and Information Fusion. His publications include three ESI Highly Cited Papers and have received more than 1,600 citations according to Google Scholar.