Ouri Wolfson's main research interests are in big data, distributed systems, mobile/pervasive computing, smart city, and connectomics. 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 the Richard and Loan Hill Professor of Computer Science at the University of Illinois at Chicago, and an Affiliate Professor in the Department of Computer Science at the University of Illinois at Urbana Champaign. He is the founder of Mobitrac, a high-tech startup that was acquired by Fluensee Co.; and the founder and president of Pirouette Software Inc. which specializes in mobile data management. He served as a consultant to Argonne National Laboratory, US Army Research Laboratories, DARPA, and NASA. Before joining the University of Illinois he has been on the computer science faculty at the Technion and Columbia University, and a Member of Technical Staff at Bell Laboratories.

Dr. Dan Zhang is a Kaneff Professor and Tier 1 York Research Chair in Advanced Robotics and Mechatronics in the Department of Mechanical Engineering at York University. Dr. Zhang was a Canada Research Chair in Advanced Robotics and Automation and was a founding Chair of the Department of Automotive, Mechanical and Manufacturing Engineering with the Faculty of Engineering & Applied Science at Ontario Tech University. He received his Ph.D. in Mechanical Engineering from Laval University, Canada, in June 2000. Dr. Zhang's research interests include synthesis and optimization of parallel and hybrid mechanisms; generalized parallel mechanisms research; reconfigurable robots; micro/nano manipulation and mems devices (e.g., sensors); rescue robots; smart biomedical instruments (e.g., exoskeleton robots and rehabilitation robotics); AI/robotics/autonomous systems; Aerial and Underwater Robotics and Artificial Intelligence for Robotics. Dr. Zhang has published 232 journal papers and 187 conference papers, 12 books, 9 book chapters, and numerous other technical publications. Dr. Zhang has served as a General Chair for 67 International Conferences and delivered 117 keynote speeches. Dr. Zhang is listed as the World's Top Two Percent Researchers by Stanford's Standardized Citation Indicators in 2020 and 2021. Dr. Zhang is a Fellow of the Canadian Academy of Engineering (CAE), a Fellow of the Engineering Institute of Canada (EIC), a Fellow of the American Society of Mechanical Engineers (ASME), and a Fellow of the Canadian Society for Mechanical Engineering (CSME), a Senior Member of Institute of Electrical and Electronics Engineers (IEEE), and a Senior Member of SME.

Will update soon

Xinde Li earned his Ph.D. in Control Theory and Control Engineering, from the Department of Control Science and Engineering, Huazhong University of Science and Technology (HUST), Wuhan, China, in 2007. Afterward, he joined the School of Automation, Southeast University, Nanjing, China, where he is currently a professor. He was an Academician of the Russian Academy of Natural Sciences elected in 2020 and a cover person of Scientific Chinese in the same year. He was a vice director of the Intelligent Robot Committee of the Chinese Association for Artificial Intelligence in 2017, and a vice director of the Intelligent Products and Industry Working Committee of the Chinese Association for Artificial Intelligence in 2019. His research interests include Artificial Intelligence, Intelligent robots, Machine Perception and Understanding, human-robot interaction, etc. He has undertaken many national key projects, i.e. National 863 key project, JKW key project, etc., and has published more than 80 high-quality papers and 2 books, and owns 17 national invention patents. He also won many prizes, i.e. international contribution prize, Scientific and Technological Progress Award in CAA, etc.

Hongliang Ren received his Ph.D. in Electronic Engineering (Specialized in Biomedical Engineering) from The Chinese University of Hong Kong (CUHK) in 2008. He served as an Associate Editor for IEEE Transactions on Automation Science & Engineering (T-ASE) and Medical & Biological Engineering & Computing (MBEC). He has navigated his academic journey through the Chinese University of Hong Kong, Johns Hopkins University, Children's Hospital Boston, Harvard Medical School, Children's National Medical Center, United States, and the National University of Singapore. He is currently an Associate Professor, the Department of Electronic Engineering at the Chinese University of Hong Kong, and an Adjunct Associate Professor, the Department of Biomedical Engineering at the National University of Singapore. His areas of interest include biorobotics, intelligent control, medical mechatronics, soft continuum robots, soft sensors, and multisensory learning in medical robotics. He is the recipient of the NUS Young Investigator Award and Engineering Young Researcher Award, IAMBE Early Career Award 2018, Interstellar Early Career Investigator Award 2018, ICBHI Young Investigator Award 2019, and Health Longevity Catalyst Award 2022 by NAM & RGC.

Darius Burschka conducts research on sensor systems in robotics and human-machine interfaces. Video-based navigation is one of his particular interests. This involves the analysis and fusion of complex physical sensor systems and 3D reconstruction from the fusion of multimodal sensor data. The research is applied to industrial, service, automotive, and health robotics applications. After completing his studies in electrical engineering and his doctorate (1998) at TUM, Prof. Burschka became a postdoctoral researcher at Yale University, New Haven, USA. There, he made advancements in the development of laser-based map generation and position tracking. After that, he worked as an associate research scientist at Johns Hopkins University, Baltimore, USA. His research topic was sensor-based navigation and 3D reconstruction (1999-2005). He was appointed assistant research professor at the university in 2003. Since 2005, Prof. Burschka holds the position of professor of telerobotics and sensor-data fusion at TUM. He works closely with the Institute for Robotics and Mechatronics of the German Aerospace Center (DLR) in Oberpfaffenhofen.

Hiroyuki Kameda is a professor of the School of Computer Science at the Tokyo University of Technology in Japan, where he has been working over 30 years as teacher and researcher, and was a Dean of the School of Computer Science (April 2013-March 2017), an Advisor to President (International Affairs) (April 2009-March 2012), and a Professor of the School of Computer Science (April 2007-Present). He graduated from the University of Tokyo in Japan, received his Bachelor of Engineering (1982) in the Faculty of Electronics Engineering, Master of Engineering (1984) in the Faculty of Electric Engineering of the Graduate School of Engineering, and Doctor of Engineering (PhD) (1987) in the Faculty of Electronic Engineering of the University of Tokyo. He was received some awards in the field of ICT-based education. He was a member of IEICE (The Institute of Electronics, Information, and Communication Engineers), where he was a chairman of committee of Thought and Language. His research activities are were as follows; The core of his research field is Thought and Language. He has been studying various topics in this research field from the interdisciplinary viewpoint of Computer science, applied informatics, applied linguistics, cognitive science, medical science, health care science, the science of education and etc. for about 30 years. He developed a communication robot PDDIN with an artificial mind to express itself and also guess other's states of mind based on it. He has been also engaged in the studies of acquiring new knowledge, especially, unknown words and unknown syntactic rules by machine learning methodology, e.g., Inductive Logic Programming, and he proposed a new methodology of dynamically changing a running program based on processing mode when unknow words appears in input text. At the same time, He has been interested in the education of software engineering, e.g., advanced teaching materials and various kinds of teaching methods mainly for software education for novice students, i.e., those in the first year of university. And recently, Last year, he newly started to study metaverse technology, where people learn a foreign language or share things to realize some SDGs.

Hoshang Kolivand is an Associate Professor in Human Computer Interaction at Liverpool John Moores University, UK and a Visiting professor at Barath University, India. He received his MSc degree in Applied Mathematics and Computer Science from Amirkabir University of Technology, Tehran, Iran, and his PhD from Universiti Teknologi Malaysia (UTM) in 2013. His background is in 3D maths & Computer Graphics in particular Augmented and Virtual Reality. Over 150 international publications in the area of 3D visualisation, immersive technology & human Computer Interaction. A global leader in this field invited to address the current & future advances of immersive technology in several high-ranked international events.

Andry Maykol Pinto is an Assistant Professor at the Faculty of Engineering of the University of Porto and a Senior Researcher at INESC TEC. He concluded the Doctoral Program in Electrical and Computer Engineering from the Faculty of Engineering of the University of Porto in 2014. He is the Principal Investigator of many robotics-based O& M projects financed by national and European funds. His research has numerous publications in top- ranked journal's impact in areas related to mobile robotics, autonomous systems, artificial intelligence, multi-modal perception, information fusion, and underwater imaging. Currently, Andry is coordinating the ATLANTIS project which has established a large-scale pilot infrastructure for demonstrating key enabling robotic technologies for inspection and maintenance. The ATLANTIS Test Centre was installed in Viana do Castelo and it aims to promote robotics in supply chains by demonstrating the benefits role in terms of increased IMR efficiency and reduced life-cycle costs for offshore wind farms.

Xinzhu Bei is an accomplished Applied Research Scientist at Meta Platforms, Inc. (formerly Facebook), with over 7 years of research experience in various fields of Computer Vision. She completed her Ph.D. at the Computer Science Department of the University of California, Los Angeles. During her career, Xinzhu has made significant contributions to the field of Computer Vision, particularly in video object tracking, video analysis, and scene understanding. Her work has been recognized and published in top-tier CV/ML conferences such as CVPR, and she has also authored a book.

Dr. Mujib Ullah has completed his Ph.D. in tissue engineering/regenerative medicine, and postdoctoral studies from Stanford University School of Medicine. Dr. Ullah is the medical investigator in the Department of Regenerative Medicine, at Stanford University. Previously he worked at Harvard University and MIT. He is editor-in-chief for Artificial Intelligence in Cancer, guest editor for ACS Nano, and section editor for Stem Cells Research and Therapy and Nature. He has published numerous papers and has served as an editorial board member for many journals, such as the American Journal of Bioscience and Bioengineering. Dr. Ullah has designed many labs, protocols, and study sections. He has mentored many undergraduate, graduate, and postgraduate students. He has supervised and managed many projects and is the advisor for Bio Thinking and Bio Aims Society. He has received many grants, awards, and fellowships in the field of stem cell regeneration and the CPRIT award for Cancer therapies. He has established cell banks for worldwide distribution under NIH and FDA guidelines. He has developed quality assurance protocols for the Food and Drug Administration to monitor stem cell therapies in regenerative medicine.

Professor Clark has spent most of his academic career at Imperial College London where he is now an Emeritus Professor of Computational Logic. He has had visiting Professor positions at Stanford University, the University of California, Uppsala University, and the Universities of Queensland and New South Wales. He has also consulted for IBM and Hewlett-Packard in the area of rule-based artificial intelligence. His current research is in the design and use of rule-based languages for robust programming of multi-tasking cooperating robots.

Dr. Federico Pallottino Has a Ph.D. in Food Biotechnology, since2017 permanent Researcher and from 2021 Senior Researcher at the Research Centre for Engineering and Agro -Food Processing (CREA-IT), Monterotondo (Rome) of the Council for agricultural research and economics (CREA).He is the winner as co-author of the Award for Best Research Published by CREA Staff in 2011. In 2010 he was awarded the Young Researchers Award at the III National Conference of the Italian Society of Sensory Sciences in Naples. Reviewer appointed by ANVUR for the Evaluation of Research Quality (VQR) 2011 - 2014, CREA teacher for the technical-scientific areas relating to image analysis, colorimetry and morphometry. Reviewer of international projects for the Ministry of Foreign Affairs and International Cooperation as part of the scientific cooperation agreement between Italy and Israel (2015) and for the "Ministry of Education and Science" of the Republic of Kazakhstan. Editorial Board member of different IF Journals. Associate to A.I.I.A. (Italian Association of Agricultural Engineering) -VII technical section "Information and communication technologies"; association also to EurAgEng (European Society of Agricultural Engineers) and to the CIGR (International Commission of Agricultural and Biosystems Engineering). Member of the Post-harvest Working Group of the Italian Horticultural Society (SOI). Reviewer of several international journals IF and for the European commission of Horizon 2020 projects. His Skills and research fields regards applications of digital engineering technologies and numerical methodologies in biosystems, agri-food and agro-industrial (ICT, imaging, RFiD, spectrometry, proximal sensing, thermography, inferential or predictive multivariate modeling, electronics, and open-source software), also in relation to digital and precision agriculture applications. In addition he works onsensors for pre-and post-harvesting products characterization, rapid and non-destructive techniques for the analysis and certification of aspects of product.

Raul Duarte Salgueiral Gomes Campilho. Completed the Title of Aggregate in Habilitation in Mechanical Engineering in 2020/09/11 by Universidade do Porto Faculdade de Engenharia, Doutoramento in Ph.D. in Mechanical Engineering in 2009/06/25 by Universidade do Porto Faculty of Engineering, Master in M.Sc. in Mechanical Engineering - Profile of Mechanical Constructions in 2006 by Universidade do Porto Faculdade de Engenharia and Licenciatura in Graduation in Mechanical Engineering - Transport Branch in 2003 by Instituto Politecnico do Porto Instituto Superior de Engenharia do Porto. Is Adjunct Teacher at Instituto Politecnico do Porto Instituto Superior de Engenharia do Porto and Researcher at Associated Laboratory for Energy Transports and Aeronautics. Published 320 articles in journals. Has 136 sections (s) of books and 23 book (s). Participated in 112 events (s). Supervised 5 Ph.D. thesis(es) and co-supervised 1. Supervised 167 MSc dissertation(s) and co-supervised 73. Has received 16 awards and/or honors. Participates and/or participated as Principal investigator in 1 project(s) and Researcher in 6 project(s).

Dr. Francesco Carravetta is a Senior Scientist at the Institute of Systems Analysis and Computer Science, of the National Research Council, in Rome, Italy, where he has been leading research in Cybernetics for almost three decades. His research interests have been concerned specifically with mathematical control theory, filtering, artificial intelligence, machine learning, and signal processing. He has held visiting positions at University of Virginia, USA; at the Kyushu Institute of Technology, Japan, and at the University of Adelaide, Australia, where he has had various research appointments for the last ten years. His research activity deals presently with the investigation of the connection among computability, nonlinear control, and differential algebraic geometry, as well as stochastic syntactic processes and their usage for the solution of inference problems.

Bruno Silva is the Head of Research and Development at Muvu Technologies. He obtained his MSc in Electrical and Computer Engineering at the Polytechnic of Leiria (Portugal) and is currently doing his Ph.D. in Artificial Intelligence to Improve Production Processes at UPC Barcelona Tech (Spain). He is also a visiting Assistant Professor at the Department of Electrical Engineering of the Polytechnic of Leiria and a Researcher at IRI CSIC-UPC (Barcelona). His research focus has been in the areas of Digitalization, Machine Learning, Artificial Intelligence, and Industry 4.0, always applying real use cases in the industry.

Fabio Mendonca received the BS and MSc degrees in electrical and telecommunications engineering from the University of Madeira and the Ph.D. degree in electrical and computer engineering from Instituto Superior Tecnico - University of Lisbon in partnership with Carnegie Mellon University. He works at the University of Madeira and is a researcher with the Interactive Technologies Institute - LARSyS. His research interests include sleep analysis, pattern recognition, and machine learning.

Pascal Lorenz Received his M.Sc. (1990) and Ph.D. (1994) from the University of Nancy, France. Between 1990 and 1995 he was a research engineer at World FIP Europe and at Alcatel-Alsthom. He is a professor at the University of Haute-Alsace, France, since 1995. His research interests include QoS, wireless networks and high-speed networks. He is the author/co-author of 3 books, 3 patents and 200 international publications in refereed journals and conferences. He was Technical Editor of the IEEE Communications Magazine Editorial Board (2000-2006), IEEE Networks Magazine since 2015, IEEE Transactions on Vehicular Technology since 2017, Chair of IEEE ComSoc France (2014-2020), Financial chair of IEEE France (2017-2022), Chair of Vertical Issues in Communication Systems Technical Committee Cluster (2008-2009), Chair of the Communications Systems Integration and Modeling Technical Committee (2003-2009), Chair of the Communications Software Technical Committee (2008-2010) and Chair of the Technical Committee on Information Infrastructure and Networking (2016-2017). He has served as Co-Program Chair of IEEE WCNC'2012 and ICC'2004, Executive Vice-Chair of ICC'2017, TPC Vice Chair of Globecom'2018, Panel sessions co-chair for Globecom'16, tutorial chair of VTC'2013 Spring and WCNC'2010, track chair of PIMRC'2012 and WCNC'2014, symposium Co-Chair at Globecom 2007-2011, Globecom'2019, ICC 2008-2010, ICC'2014 and '2016. He has served as Co-Guest Editor for special issues of IEEE Communications Magazine, Networks Magazine, Wireless Communications Magazine, Telecommunications Systems and LNCS. He is associate Editor for International Journal of Communication Systems (IJCS-Wiley), Journal on Security and Communication Networks (SCN-Wiley) and International Journal of Business Data Communications and Networking, Journal of Network and Computer Applications (JNCA-Elsevier). He is senior member of the IEEE, IARIA fellow and member of many international program committees. He has organized many conferences, chaired several technical sessions and gave tutorials at major international conferences. He was IEEE ComSoc Distinguished Lecturer Tour during 2013-2014.

Petr Hruby received his bachelor and master in Computer Science from the Czech Technical University in Prague in 2019 and 2021, respectively. He is pursuing his PhD in Computer Science (CS) since 2021 under the supervision of Prof. Dr. Marc Pollefeys. His research interests lie in solving minimal problems and applications of those to 3D geometry tasks. He also collaborated in recent years with the Applied Algebra and Geometry (AAG) group at the Czech Technical University in Prague.

WORLD CIO AWARD 2022, Pride of Knowledge Award 2021, Int Icon 2021Award, Indian Achiever Award2021+2022, Honorary PHD2021 , Excellence Award EDU2021+2022, Awarded Intellects 2021, Admirable S Awards 2021, INT Award for Peace Books 2020, Int peace HR EgyChair, GGA, President of SCR-Afr, Mr. Assem Moussa,2015 Bristol PHD, Global Good Will Ambassador, USA, Global Ambassador for Peace and Human Rights, Chairman for peace and HR Chief Eng Egyptair Egypt.

Dr. Isidoros Perikos received the Diploma of Computer Engineering and his MSc and Ph.D. in Computer Science from the Department of Computer Engineering and Informatics, University of Patras. His main research interests include artificial intelligence, natural language processing, machine learning, affective computing, and learning technologies. He has published over 80 papers in international conferences, Journals, and workshops proceedings. He is a member of IEEE, ACM, and the Hellenic Artificial Intelligence Society.

Alexei G. Shishkin received an M.Sc. degree in applied mathematics from the Moscow State University, Moscow, Russia, in 1987, and a Ph.D. degree in mathematical modeling from Moscow State University, Moscow, Russia, in 1990. He received his D.Sc. degree in computational mathematics and mathematical modeling from Moscow State University, Moscow, Russia, in 2011. He was a Senior Research Worker and then Chief Research Worker with the Department of Computational Mathematics and Cybernetics, at Moscow State University, starting in 1990. He is currently a Professor at the Department of Computational Mathematics and Cybernetics, at Moscow State University. His current research interests include mathematical modeling, machine learning, artificial intelligence, data mining, and digital signal processing. Prof. Shishkin is the author of more than 170 publications including 7 books. He was the awardee of the MSU Young Researchers program and MSU Outstanding Scientific Achievements Contest. He is a member of the Editorial Board of the Journal of Modeling and Optimization, American Journal of Electrical and Computer Engineering. He serves as a reviewer of several IEEE journals. Prof. Shishkin has been a chairman and a member of the program committees of a number of international conferences. He has been the invited speaker and the session chair at several conferences and symposiums.

Dr. Loai is a renowned expert in data analysis and data science with over 15 years of experience in artificial intelligence, business intelligence, computer vision, and big data. Dr. Loai has taught in various academic institutes, including Haifa University, Technion, Zefat College, Kinneret College, ORT Braude College, and The Max Stern Yezreel Valley Academic College. As a senior lecturer in the Department of Information Systems at The Max Stern Yezreel Valley Academic College, Dr. Loai shares his expertise in data analysis and data science with the next generation of students. He leads research projects that focus on data mining, big data, and business analytics, with a focus on clustering, non-parametric statistics, and algorithms for approximate nearest neighbor search. Dr. Loai's research not only contributes to the field of AI but also provides valuable learning opportunities for his students. Dr. Loai is also the founder and CEO of xBiDa, a company that specializes in artificial intelligence for big data and computer vision. His extensive experience in industry projects allows him to apply his research and expertise to solve real-world problems. With Dr. Loai's reputation for innovation and expertise in artificial intelligence, business intelligence, computer vision, and big data, he has been invited as an Organizing Committee Member and Invited Speaker for the 2nd International Forum on Artificial Intelligence and Robotics. His contributions to the field of AI and his expertise as a lecturer and researcher make him an invaluable addition to the forum.

I am Ahmad Deeb, a postdoctoral fellowship at Khalifa University since June 2022 and working on the dynamics of biomembranes of red blood cells in blood flow. I earned my Ph.D. in Mechanics from La Rochelle University-France and Applied Mathematics from Lebanese University in 2015. I was an assistant professor for two years at La Rochelle University teaching courses for mechanical and civil engineering students. Since 2017, I have worked on 4 (including the present) different projects as a postdoctoral fellow to contribute to developing numerical tools for problems in mechanics, fluid mechanics, and civil. I am interested in employing tools in Artificial intelligence to propose solutions for problems in civil engineering issues for instance hysteresis phenomenon. Recently, I proposed three novels processes that helped engineers to overcome some issues, namely a model based on axisymmetry to predict the hysteresis phenomenon for building materials, a variant technique of PGD that uses the Taylor series expansion and Pade approximant for nonlinear equations, and a technique to produce an error estimate of the numerical solution obtained by a basic numerical scheme using composition technique. I have an interest in developing numerical methods to enhance controlling tools in robotics, especially in quadrotor dynamics.

Dr. Hena Ray is the Joint Director at the Centre for Development of Advanced Computing, Kolkata, an R&D organization under the Ministry of Electronics and Information Technology. She is also the Adjunct Professor, at the Indian Institute of Technology (Indian School of Mines) in Dhanbad, India. Dr. Hena Ray has completed her Ph.D. from the Instrumentation and Electronics Department, at Jadavpur University, India. She has twenty-five years of research experience in system designing, process automation, image processing, artificial intelligence, Internet of Things, Robotics, sensor, and sensing systems. She has five granted patents, over twenty-five research publications in leading international journals and conferences, and has several accolades to her name for instance being Champions in Intel Embedded Challenge 2011, won best paper award in IEEE B-HTC Conference 2020, etc. She has led her research group for multiple Govt. of India-funded projects and most have them have been gone through Transfer of Technology and now in use, commercially.

Mr. Suchit Patel is working in the area of Automation and Robotics. He is an assistant professor in the Department of Computer Engineering, Poornima College of Engineering, Jaipur. His research work includes the localization of bipeds and prosthetic legs along with computer vision in the dark. His interdisciplinary research is greatly influenced by his post-graduate courses combining biological aspects with mechanical works.