Prof. Joan-Lluis Vives Corrons, MD, PhD, is Professor Emeritus of Hematology at the University of Barcelona and former Head of the WHO Collaborating Centre for Hemoglobinopathies in Spain. With a career spanning more than 40 years, his research has focused on hereditary anemias, red blood cell disorders, and the implementation of diagnostic innovations at national and international levels. He has played a key role in European reference networks for rare diseases and continues to advise on integrating molecular technologies and data-driven tools in hematology.

Dr. Bren Pierce is the founder and CEO of Kinisi, a robotics company creating advanced mobile and humanoid robots for real-world work environments. Bren began a PhD in humanoid robotics and legged locomotion, developing deep expertise in mechanical design, AI, and real-time control—skills that now drive Kinisi’s high-performance, reliable machines.Kinisi’s robots operate in warehouses, factories, restaurants, and retail spaces, performing tasks that demand dexterity, mobility, and intelligence. The company develops the entire stack—from embedded motor control and ROS 2 networking to teleoperation and autonomous AI—ensuring seamless integration into human workflows.Bren’s leadership blends technical precision with a focus on practical impact. Kinisi’s systems are designed to work alongside people, enhancing productivity, safety, and efficiency in dynamic environments. Driven by a vision of human-centric robotics, Bren is building a future where robots are trusted partners that extend human capability and creativity across industries.

Ouri Wolfson's main research interests are in big data, mobile and pervasive computing, smart city technologies, and AI. He received his B.A. degree in mathematics, and his Ph.D. degree in computer science from Courant Institute of Mathematical Sciences, New York University. He is currently a Professor of Computer Science at the University of Illinois at Chicago and the founder, president, and chief Scientist of Pirouette Software Inc.. Previously he has been on the computer science faculty at the Technion, Columbia University, University of Illinois at Urbana Champaign, and a Member of Technical Staff at Bell Laboratories. He was the founder of Mobitrac, a high-tech venture-funded startup that was listed in the top 50 start-ups in Chicagoland and acquired in 2006. He served as a consultant to Argonne National Laboratory, US Army Research Laboratories, DARPA, and NASA. Ouri Wolfson authored over 240 publications, eight of them award winning. He holds seven patents, and has over 17,000 citations and an h-index of 61 on Google scholar. He is a Fellow of the Association of Computing Machinery (ACM), a Fellow of the American Association for the Advancement of Science (AAAS), a Fellow of the Institute of Electrical and Electronics Engineers (IEEE), a Fellow of the Asia-Pacific Artificial Intelligence Association (AAIA), a Fellow of the International Artificial Intelligence Industry Alliance (AIIA), and a University of Illinois Scholar for 2009. He served as a Distinguished Lecturer for the Association of Computing Machinery. Wolfson was the keynote and distinguished speaker at leading conferences and universities, recently the The Eighth International Conference on Big Data Analytics (BDA2020) , Dec. 2020, and the International Conference on Transport and Smart Cities (ICoTS 2021) , Sept. 2021. Ouri Wolfson is the Editor in Chief of the MDPI Journal of Future Transportation , the Specialty Chief Editor of Frontiers' Smart Technologies and Cities , and he chaired leading conferences. His research has been funded by the National Science Foundation (NSF), Air Force Office of Scientific Research (AFOSR), Defense Advanced Research Projects Agency (DARPA), NATO, US Army, NASA, the New York State Science and Technology Foundation, Hughes Research Laboratories, Informix, Accenture, and Hitachi Co.

Pr. Noureddine BEN YAHIA is a Full Professor at the National Superior School of Engineers of Tunis (ENSIT), University of Tunis. He earned his Ph.D. in Automatic Machining Processes from the National School of Engineers of Tunis in 2002 and obtained his Habilitation in Computer-Aided Process Planning in 2012. From 1995 to 1999, he served as Head of the Energy Sector at the National Center for Trainers and Training Engineering (CENAFFIF), before joining academia as a Research Professor in 2000—a position he holds to this day. Prof. Ben Yahia is certified by the CESI-France Group in Industrial Support and Context Analysis. Over his career, he has led numerous scientific research and training engineering projects, as well as strategic initiatives in academia and industry. From 2018 to 2024, he headed ENSIT’s Internship and International Relations Department. He currently serves as Director of the Laboratory of Mechanics, Production, and Energy (LMPE – LR18ES01). His research interests include: Artificial Intelligence, Optimization of Mechanical Manufacturing Systems, Industrial Production Systems and Digital Twins Additive Manufacturing. Prof. Ben Yahia has authored over 60 peer-reviewed journal articles and more than 140 conference papers in leading international venues. He has supervised 15 doctoral theses and 50 master’s dissertations in artificial intelligence, mechanical manufacturing, and production systems.

Dr. Jean-Charles Cabelguen, PhD, is a deep-tech strategist and expert in biomechanics, bridging the worlds of advanced research and industry adoption. With a background in human biomechanics and more than a decade of experience driving innovation across quantum computing, robotics, and AI, his latest work focuses on how principles of biomechanics, compliance, and dynamics can accelerate the next generation of humanoid robots development. Guided by the motto “from fixing motion to unlocking adaptation,” he champions a shift toward embodied intelligence and smart bodies by design.

Prof. Adel M. Alimi is a Full Professor of Electrical Engineering at the University of Sfax, Tunisia, and currently a Distinguished Visiting Professor at the University of Johannesburg, South Africa. He holds a PhD from École Polytechnique of Montreal and an HDR from ENIS, Tunisia. Prof. Alimi is internationally recognized for his extensive contributions to machine learning, intelligent systems, handwriting and biometric recognition, cybersecurity, and smart cities. He has published over 740 scientific papers, supervised more than 120 PhD theses, and holds 20+ patents. Founder of the REGIM Lab and Chair of multiple IEEE chapters and technical committees, he has played pivotal roles in both academic leadership and international research collaborations. He is the recipient of several prestigious awards including the IEEE Region 8 Outstanding Large Section Award, the INNS Neural Networks Award, and Tunisia’s National Order of Merit in Education and Science.

Dr. Jixin Ma is a Full Professor in the School of Computing and Mathematical Sciences, University of Greenwich, United Kingdom. He has been the Director of the Centre for Computer and Computational Science, and the Director of School’s PhD/MPhil Programme. He is also a Visiting Professor of Beijing Normal University, Auhui University, Zhengzhou Light Industrial University, and City University of Macau. Professor Ma obtained his BSc and MSc of Mathematics in 1982 and 1988, respectively, and PhD of Computer Sciences in 1994. His main research areas include Data Science, Artificial Intelligence and Information Systems, with special interests in Temporal Logic, Temporal Databases, Reasoning about Action and Change, Case-Based Reasoning, Pattern Recognition, Graph Matching and Information Security. He has been a member of British Computer Society, American Association of Artificial Intelligence, ICIS/IEEE, and Special Group of Artificial Intelligence of BCS. Professor Ma has been the Editor of several international journals and international conference proceedings, and Program Chair/Invited Keynote Speakers of many international conferences. He has published more than 200 research papers in peer-reviewed international journals and conferences.

Dr. Leila Mekacher is a passionate engineer, entrepreneur, and internationally certified autism specialist. She serves as Head of Digital Research and Innovation and is the founder of the Technological Education Center at the SRH Vocational Training Center. A committed STEM ambassador, she also lectures at the Baden-Württemberg Cooperative State University, the University of the Federal Employment Agency in Mannheim, and the University of Applied Sciences Upper Austria in Linz. Dr. Mekacher holds a degree in electrical and automation engineering and earned her PhD in robotics and software engineering. Her work centers on the use of immersive technologies—such as virtual and mixed reality—as well as gamification, to advance digital education, foster inclusive work environments, and promote accessibility. Through her social enterprise Innoversa gUG and her tech company Innoversa Factory GmbH, she develops cutting-edge educational tools, including VR escape rooms, AI-generated media, interactive 360° VR experiences, and VR simulators designed for vocational training and career orientation. Deeply committed to inclusion, Dr. Mekacher supports individuals on the autism spectrum by actively involving them in research, development, and real-world industry projects. She also develops specialized XR-based training tools tailored to their strengths—helping them build skills and thrive in future-oriented technological careers.

Prof. Laijun Lu is a distinguished scholar from China with a doctoral degree in Mathematical Geosciences, Mathematics, and Systems Science. He serves as Professor, Doctoral Supervisor, and Chief Scientist of the Digital Earth Research Center at Jilin University. With nearly a hundred published papers, six monographs, and six patents and copyrights to his credit, he has made significant contributions to the field. His achievements have been recognized with six national and local awards in China, and he was honored as the 2012 Science Chinese Person of the Year. In addition to his primary role, Prof. Lu holds several part-time appointments, including Chief Expert of Jiangxi Nuclear Geology Data Science and Engineering Technology Research Center, Director of the Quantum Earth Science Center at Chengdu University of Technology, and Chief Scientist of the Nanoquantum Earth Science Research Center at Xingtai University. He also serves as Professor at China Medical University, Shenyang Normal University, and Shenyang University of Aeronautics and Astronautics.

Dr. Muhammad Azhar is the Program Director of Applied Data Science and an Assistant Professor at Hong Kong Shue Yan University (HKSYU), SAR, China. He also serves as the Director of the Big Data Laboratory at HKSYU. With over 11 years of teaching and research experience across South Korea, Mainland China, and Pakistan, Dr. Azhar has held academic and research positions at multiple universities, including a role as Research Professor at Chosun University, South Korea. Prior to joining academia, he gained industry experience at software companies in Pakistan (Sofnix Private Limited, Turnotech Private Limited) and the U.K. (Welltime Ltd.). He holds a B.S. in Computer Science from the National University of Computer and Emerging Sciences (Islamabad, Pakistan), an M.S. in Computer Science from Sejong University (Seoul, South Korea), and a Ph.D. in Machine Learning and Data Mining from Shenzhen University (China). His research focuses on Data Mining, Natural Language Processing (NLP), and Computer Vision, leveraging both traditional machine learning and advanced deep learning techniques.

Dr. Jamshaid Ul Rahman is an AI Researcher and mathematician specializing in Mathematical Modeling, Artificial Intelligence, and Deep Learning. He earned his Ph.D. in Mathematics from the University of Science and Technology of China (USTC). With over a decade of academic and research experience, Dr. Rahman has held positions and led collaborative projects across Pakistan, Oman, Portugal, and China. At ASSMS, Dr. Rahman is actively involved in graduate-level teaching, research supervision, and institutional service. Dr. Jamshaid Ul Rahman is a recognized expert in Artificial Intelligence and a prominent scientific figure in the field of mathematical modeling and deep learning. His research lies at the intersection of Artificial Intelligence, Deep Learning, and Mathematical Modeling, where he develops cutting-edge neural network architectures. His recent work includes message passing neural networks, wavelet-based models, and physics-informed deep learning frameworks, addressing complex problems across a range of domains, including computer vision, molecular property prediction, epidemiological modeling, and nonlinear dynamical systems.

Prof. Univ. Dr. Eur Ing Ionel STARETU: graduated the Faculty of TCM (Technology of Mechanical Constructions) of Transilvania University of Brasov (1983). He won the title of Doctor in Engineering, with specialization in Industrial Robots - Robotics, in 1995. Specializations: in Tribology (Transilvania University -1990), in Robotics and Productics (the INSTN Saclay, France-1992/1993), Organization Management (Transilvania University and IAI-1999 / 2000), Quality Management (2003), Quality Audit (2004) at Transilvania University. Since 2003, he is an Extrajudicial Technical Expert and Consultant certified by CERTEXPERT Bucharest and AEXEA Paris and Expert CNCSIS and ARACIS. He has been working since 1985 to the Department of Product Design and Robotics at Transilvania University of Brasov. He published 5 books(one in USA: Gripping Systems, Derc Publishing House, 2011), 5 didactic papers, and more than 225 scientific articles in the country and abroad (SUA, Italy, France, Germany, Hungary, Turkey, Tunisia, Czech Republic, Slovenia, Japan, India, China, etc.). He is the author or co-author of 11 patents of invention. He helped to resolve more than 26 scientific research grants, both national and international (for 4 of them as project director). He is the president of the Brasov branch of the Robotic Society of Romania, vice president of the branch AGIR-The General Association of the Engineers in Romania Brasov and member in National Committee AGIR , ARoTMM member, and expert in Robotics at the Academic Society in Romania, and CRIFST (Romanian Committee for History and Philosophy of the Science and Technique - Romanian Academy) member . He is certified EUR ING by FEANI – European Federation of National Engineering Associations, in 2008. He is member in Editorial Board of the Journal of Mechanics Engineering and Automation-USA, Military Technical Courier-Serbia, Annals of Dunarea de Jos University of Galati - Fascicle XIV-Mechanical Engineering, TEHNOMUS Journal(Stefan cel Mare University of Suceava) and AGIR Bulletin-Romania. He was co-chairman of 4TH International Conference Robotics’08, 2008, Brasov, Romania and member in more international scientific committees: International Conference: IMETI (Orlando, SUA, 2008, 2009,2010,2011,2012,2013), International Conference on Robotics, Romania (2002, 2006,2008,2010,2012,2014); International Conference TEHNOMUS (2005,2007, 2009,2011,2013-2020); International conference Inter Eng ( 2007, 2009, 2011,2013, 2014-2019, 2020) etc. He was lecturer at International School on Robotics and Intelligent Systems –ISRIS 2009 and Summer School on Human-Machine Systems, Cyborgs, and Enhancing Devices – HUMASCEND 2012, Iasi, Romania. He is doctorate coordinator in the area of Industrial Engineering. Technical Sciences Academy of Romania-TSAR: corresponding member - June 2017.

Prof., Dr. of Sc. Kartlos Joseph Kachiashvili is Professor of Georgian Technical University, Faculty of Informatics and Control Systems. He is a Member (Academician) of Georgian National Academy of Science. He also is Senior Scientific Worker of the I. Vekua Institute of Applied Mathematics of the Tbilisi State University (Tbilisi, Georgia) and Main Scientific Worker of Muskhelishvili Institute of Computational Mathematics. He was working in many scientific research institutes and universities in Georgia, Russia and Pakistan on the positions: engineer, scientific worker, Head of Laboratory, Head of Department, Head of National Center, Professor, Rector of Institute. He has 267 scientific works published in various esteemed reputable International Journals. He is a Member of Various (34) Professional Bodies and Editorial Boards of international scientific journals. He published seven monographs and five text-books in Georgia, Ukraine, USA, UK and Indonesia. He has received many prestigious awards and rewards. His research interests are: Mathematical Statistics, Data Analysis (Environmental, Agricultural, Medical), Mathematical Modeling and Simulation, New Computer Technologies Development, System Analysis (Environmental Water Pollution Control Systems), Computing Mathematics, Machine Learning.

Dr. Sushma Jaiswal is a highly accomplished academician and researcher currently serving as an Assistant Professor in the Department of Computer Science and Information Technology at Guru Ghasidas Vishwavidyalaya, Bilaspur, Chhattisgarh. With over 21 years of teaching experience, she has made significant contributions to the fields of machine learning, 3D digital image processing, artificial intelligence, computer graphics, and healthcare informatics. She holds a Ph.D. in Computer Applications from RGPV Bhopal and completed her postdoctoral research in 2024. Dr. Jaiswal has an exceptional academic record, having authored over 150 research papers, secured more than 155 patents, and received 45 copyrights. She has also written over 40 books, some of which are available in multiple international languages. Her outstanding research and academic performance have earned her several prestigious awards, including the Best Woman Scientist Award, Excellence in Research Award, Best Faculty Award, and Best Teacher’s Award. In addition to her scholarly achievements, Dr. Jaiswal is actively involved in academic and national initiatives. She has served as Program Officer of the NSS, participated in the Ek Bharat Shreshtha Bharat program, and played a significant role in organizing and judging national-level events such as Toycathon and Hackathon. She has mentored numerous M.Phil. and Ph.D. scholars, with two students having successfully completed their Ph.D. under her guidance, one candidate currently having submitted their thesis, and three students awarded their M.Phil. degrees. Additionally, she has guided more than 100 student projects at the undergraduate and postgraduate levels. Her professional journey includes roles at various reputed institutions, including Pt. Ravishankar Shukla University, TIT Bhopal, and RGPV Bhopal, before joining GGV Bilaspur in 2012. Beyond her academic roles, Dr. Jaiswal is committed to innovation for social impact, with research focused on empowering individuals with disabilities through technology. With her deep commitment to education, research, and societal advancement, Dr. Sushma Jaiswal stands as an inspiring figure in the field of computer science and higher education in India.

Dr. Muhamad Zeshan Alam received his B.S. degree in Computer Engineering from COMSATS University, Pakistan, M.S. degree in Electrical and Electronics Engineering from the University of Bradford, UK, and Ph.D. In Electrical Engineering and Cyber-Systems from Istanbul Medipol University, Turkey. He worked at the University of Cambridge as a post-doctoral fellow where his work focused on computer vision and machine learning models. He has recently joined the University of NewBrunswick, Canada, as an assistant professor while also working as a Computer Vision Consultant at Vimmerse INC. His research interests include Autonomous vehicle perception, immersive videos, computational imaging, computer vision, and machine learning modeling.

Dr. Angel Tlatelpa-Becerro is a research professor at the Robotic Engineering Department of Universidad Autónoma del Estado de Morelos. Dr. Tlatelpa is a Level 1 member of Sistema Nacional de Investigadoras e Investigadores (SNII) of SECIHTI-Mexico. Member of the Sistema Estatal de Investigadores (SEI) by CemiTT-Morelos and leader of the Academic Body 'ENGINEERING AND TECHNOLOGY APPLIED TO SUSTAINABLE PROCESSES,' with code UAEMOR-CA-170. Dr. Tlatelpa has a strong interest in using artificial neural networks to dry food in solar dryers, solar chimneys for passive ventilation, and heat exchangers. Likewise, Dr. Tlatelpa has participated in the Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT-ESPAÑA). Dr. Tlatelpa has published book chapters and scientific articles in international journals.

Dr. Monika Arora is a Professor and Head of the Department at the Amity Business School, Amity University Haryana, Manesar. She holds a Ph.D. in Computer Science, a Master’s degree in Computer Science from Barkatullah University, Bhopal, and a Post Graduate Diploma in Operations Management from IGNOU, New Delhi. Additionally, she completed her B.Sc. (Mathematics Honours) from Devi Ahilya University, Indore. With over 27 years of experience in academia and industry, Dr. Arora specializes in Analytics, Information Technology and Operations. Her teaching career includes roles at Apeejay School of Management, New Delhi, and corporate experience at organizations like Nucleus Software Exports Limited, Platinum Edu, and Global Information System Technology. Dr. Arora has an impressive research portfolio, having published over 100 papers, including 25 indexed in Scopus and 9 in ABDC/UGC Care-listed journals. She has authored one book and contributed nine book chapters, six of which are Scopus-indexed. She has also registered two patents and two copyright. Dr. Arora’s research has garnered significant recognition, with over 494 citations on Google Scholar (h-index: 14, i10-index: 17) and 306 citations on ResearchGate (h-index: 12, research interest score: 404). She has worked on consulting assignments for universities and the Royal Government of Bhutan. She has actively participated in more than 50 national and international conferences and has been a resource person for over 35 Management Development Programs (MDPs) and Faculty Development Programs (FDPs). Her areas of expertise include project management, data analysis using Python and R, data modeling, and analytics using Excel. Additionally, she has served as a reviewer for esteemed journals like the International Journal of Indian Culture and Business Management (IJICBM) and Benchmarking. Dr. Arora has been invited as a session chair, keynote speaker, resource person, and judge at various conferences in India and abroad. She has also conducted numerous training programs for students at colleges and universities. She received a grant for a major research project from the Indian Council of Social Science Research (ICSSR) as a co-project investigator. Currently, she is the Editor of the Amity Management Journal.

Dr. Shirin Abbasi holds a Ph.D. in Software Engineering from Science and Research branch Islamic Azad University, and her expertise spans Artificial Intelligence, Machine Learning, Software Architecture, and the Internet of Things (IoT). She is a lecturer USC University in iran. Her published work focuses on AI, IoT and Autonomous vehicles. Dr. Abbasi has served as a a reviewer for leading journals, including those from Elsevier, Springer, and Wiley, and contributes actively to the academic community through teaching, research, and conference participation.