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).

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.

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). 

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.

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.