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.

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.

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.

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.

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.