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.

Demetri Terzopoulos is a Chancellor's Professor of Computer Science at the University of California, Los Angeles, where he holds the rank of Distinguished Professor and directs the UCLA Computer Graphics & Vision Laboratory. He is also Co-Founder and Chief Scientist of VoxelCloud, Inc., a multinational healthcare AI company. He graduated from McGill University, received his PhD degree ('84) in Artificial Intelligence from the Massachusetts Institute of Technology (MIT), and remained a Research Scientist at the MIT Artificial Intelligence Laboratory through 1985. He is or was a Guggenheim Fellow, a Fellow of the ACM, a Life Fellow of the IEEE, a Distinguished Fellow of the IETI, a Fellow of the Royal Society of London and the Royal Society of Canada, a Member of the European Academy of Sciences and the New York Academy of Sciences, and a Life Member of Sigma Xi. His many awards include an Academy Award for Technical Achievement from the Academy of Motion Picture Arts and Sciences for his pioneering work on physics-based computer animation, as well as IEEE's Computer Pioneer Award, Helmholtz Prize, and inaugural Computer Vision Distinguished Researcher Award for his pioneering and sustained research on deformable models and their applications. Deformable models, a term he coined, is listed in the IEEE Taxonomy. With his more than 400 published research papers and several volumes, primarily in computer graphics, computer vision, medical imaging, computer-aided design, and artificial intelligence/life, the ISI and other indexes have listed him among the most highly-cited authors in engineering and computer science. He has given more than 500 invited talks worldwide about his research, including well over 100 distinguished lectures and keynote/plenary addresses. He joined UCLA in 2005 from New York University, where he held the Henry and Lucy Moses Endowed Professorship in Science and was Professor of Computer Science and Mathematics at NYU's Courant Institute of Mathematical Sciences. Previously, he was Professor of Computer Science and Professor of Electrical & Computer Engineering at the University of Toronto. Prior to becoming an academic in 1989, he was a Program Leader at Schlumberger corporate research centers in California and Texas.

Professor Phoebe Chen is Professor and Chair at the Department of Computer Science and Computer Engineering, School of Engineering and Mathematical Sciences, Faculty of Science, Technology and Engineering, La Trobe University, Melbourne Australia. She was Head of Department from Sep 2010 to April 2012. Professor Phoebe Chen hosts the ARC Centre of Excellence in Bioinformatics from 2008 - present and ARC Centre in Bioinformatics from 2003 to 2007. Phoebe finished her Bachelor of Information Technology degree in School of Information Technology and Electrical Engineering of the University of Queensland (UQ), in Brisbane, Australia. After that she finished Honours (First Class) in Information Technology in UQ. Phoebe received her Ph.D. degree in the area of Computer Science (Bioinformatics) in University of Queensland. Phoebe also finished Graduate Certificate in Higher Education from Queensland University of Technology (QUT).

Prof. Simon X. Yang received the B.Sc. degree in engineering physics from Beijing University, China in 1987, the first of two M.Sc. degrees in biophysics from Chinese Academy of Sciences, Beijing, China in 1990, the second M.Sc. degree in electrical engineering from the University of Houston, USA in 1996, and the Ph.D. degree in electrical and computer engineering from the University of Alberta, Edmonton, Canada in 1999. Prof. Yang joined the School of Engineering at the University of Guelph, Canada in 1999. Currently he is a Professor and the Head of the Advanced Robotics & Intelligent Systems (ARIS) Laboratory at the University of Guelph in Canada. Prof. Yang has diversified research expertise. His research interests include intelligent systems, robotics, control systems, sensors and multi-sensor fusion, wireless sensor networks, intelligent communication, intelligent transportation, machine learning, and computational neuroscience. Prof. Yang he has been very active in professional activities. Prof. Yang serves as the Editor-in-Chief of International Journal of Robotics and Automation, and an Associate Editor of IEEE Transactions on Cybernetics, IEEE Transactions on Artificial Intelligence, and several other journals. He has involved in the organization of many international conferences.

Nassir Navab is a full professor and director of the Laboratories for Computer Aided Medical Procedures (CAMP: http://campar.in.tum.de) at Technical University of Munich (TUM) and an adjunct professor at Johns Hopkins University (http://camp.lcsr.jhu.edu/) with secondary faculty appointments at TUMs Medical School. He is also the director of the biannual Medical Augmented Reality (http://medicalaugmentedreality.org/) school series at Balgrist Hospital in Zurich. He received the prestigious MICCAI Enduring Impact Award in 2021 and IEEE ISMAR 10 Years Lasting Impact Award in 2015. In 2001, while acting as a distinguished member of technical staff at Siemens Corporate Research (SCR) in Princeton, he received the prestigious Siemens Inventor of the Year Award for the body of his work in interventional imaging. He also received the SMIT Technology Award in 2010. Before joining TUM in 2003, he had completed his Ph.D. at INRIA and University of Paris XI in France and had enjoyed a two-year postdoctoral fellowship at MIT Media Laboratory before and nine years of industrial research experience at SCR. He is a Fellow of the MICCAI Society and acted on its board of directors from 2007 to 2012 and from 2014 to 2017. He is also an IEEE Fellow 2022 and one of the founders of IEEE Symposium on Mixed and Augmented Reality (ISMAR) and has been serving on its Steering Committee since 2001. He is the author of hundreds of peer-reviewed scientific papers and 51 granted the US and over 80 international patents. He served as General Chair for MICCAI 2015, ISMAR 2001, 2005, and 2014. He is a funding board member of IPCAI 2010-2021 and Area Chair for ICCV 2022 and ECCV 2020. He is on the editorial board of many international journals including IEEE TMI and MedIA. He is proud of his Ph.D. students, who have received over 50 prestigious awards including MICCAI young investigator awards in 2007, 2009, 2010, 2012, 2015, 2016, 2017, and 2018 and best paper awards at IEEE ISMAR 2005 and 2017, MICCAI MedIA 2016 MICCAI IJCARS 2016 and 2019, IBM best paper award at VOEC-ICCV 2009, IPMI Erbsmann award in 2007 and best poster in 2019, and IPCAI best paper awards in 2014 and 2020. As of January 28, 2022, his papers have received over 48200 citations and enjoy an h-index of 99. His fields of interest include Robotic Imaging, Augmented Reality, Computer-Assisted Interventions, Computer Vision and Machine Learning,

Frank H.P.Fitzek is a Professor and head of the "Deutsche Telekom Chair of Communication Networks" at TU Dresden coordinating the 5G Lab Germany. He is the spokesman of the DFG Cluster of Excellence Ceti. He received his diploma (Dipl.-Ing.) degree in electrical engineering from the University of Technology Rheinisch Westfalische Technische Hochschule (RWTH) Aachen, Germany, in 1997 and his Ph.D. in Electrical Engineering from the Technical University Berlin, Germany in 2002 and became Adjunct Professor at the University of Ferrara, Italy in the same year. In 2003 he joined Aalborg University as Associate Professor and later became Professor. He co-founded several start-up companies starting with acti com GmbH in Berlin in 1999. He has visited various research institutes including the Massachusetts Institute of Technology (MIT), VTT, and Arizona State University. In 2005 he won the YRP award for the work on MIMO MDC and received the Young Elite Researcher Award of Denmark. He was selected to receive the NOKIA Champion Award several times in a row from 2007 to 2011. In 2008 he was awarded the Nokia Achievement Award for his work on cooperative networks. In 2011 he received the SAPERE AUDE research grant from the Danish government and in 2012 he received the Vodafone Innovation prize. In 2015 he was awarded the honorary degree "Doctor Honoris Causa" from Budapest University of Technology and Economics (BUTE).

Carlo Cattani is Professor (Habil. Full Professor, since 2017) of Mathematical Physics and Applied Mathematics at the Department of Economics, Engineering, Society and Enterprise (DEIM) of Tuscia University (VT)-Italy, since 2015. He has been previously appointed as professor/research fellow at the Dept. of Mathematics University of Rome La Sapienza (1980-2004) and Dept. of Mathematics, University of Salerno (2004-2015). Research fellow at the Italian Council of Research, CNR in 1978-1980 and Visiting Research fellow at the Physics Institute of the Stockholm University (1987-1988).His main scientific research interests is focussing onnumerical and computational methods, mathematical models and methods, time series and data analysis, computer methods and simulations. Author of more than 270 scientific paperson international journals and co-author of several books he has given significant contributions to fundamental topics such asnumerical methods, dynamical systems, fractional calculus, fractals, wavelets, nonlinear waves, data analysis. Editor in Chief of the journals Fractal and Fractional and Information Sciences Letters, he is serving also as Editor in Several International Scientific Journals. He has been awarded Honorary professor at the Azerbaijan University (2019), at the BSP University, Ufa-Russia (2009) for his contribution in research and international cooperation, and (in 2018) as adjunct Professor at the Ton Duc Thang University HCMC Vietnam. For the many achievements in research (H-index: Scopus (41), WoS (36), Google Scholar (47))he has beenlisted in the 2020 World Ranking of Scientists (Top 2%), ranking 85th (3d in Italy) for numerical and computational mathematics, and 16th over 335 Italian Mathematicians of this list.

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. Afterwards, he joined School of Automation, Southeast University, Nanjing, China, where he is currently a professor. He was an Academician of 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 Intelligent Robot Committee of Chinese Association for Artificial Intelligence from 2017, a vice director of Intelligent Products and Industry Working Committee of Chinese Association for Artificial Intelligence from 2019. His research interests include Artificial Intelligence, Intelligent Robot, Machine Perception and Understanding, and 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.

Prof. Guofan Shao is affiliated with Purdue University, USA. His teaching and research area is remote sensing. His research interest includes image data classification and its assessment. He has published 160peer-reviewed articles and six books and contributed two chapters (Satellite Data and Remote Sensing) in the Encyclopedia of Environmetrics (Second Edition) in 2012 & 2016, one chapter (Optical Remote Sensing) in the International Encyclopedia of Geography in 2017 & 2019.

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.

Dr. Emdad Khan is Chairman of internet speech, Inc which he founded with the vision to develop innovative technology for accessing the information on the Internet anytime, anywhere, using just an ordinary telephone and the human voice. Khan is also a Professor at Maharishi International University, Iowa, USA. Khan holds 23 patents and published over 75 journal & conference papers on Intelligent Internet, Natural Language Processing/Understanding, Speech Recognition, Machine Learning, Big Data, Bioinformatics, Software Engineering, Neural Nets, Fuzzy Logic, Intelligent Systems, and more. Khan has developed the prototype of Voice Internet, Semantic Engine using a Brain-Like Approach - SEBLA, Machine Learning Algorithms for Natural Language Processing - MLANLP and a Lifelong Machine Learning System Driven by Natural Language, Semantics, And Logic (LMLS_NL_SEM_LOGIC). Khan has over 25 years of experience - working in both Industry and Academia. He is the author of the book "Internet for Everyone: Reshaping the Global Economy by Bridging the Digital Divide". Dr. Khan's current major interest is to use brain-like and brain-inspired algorithms to solve some open problems, especially, NLU (Natural Language Understanding), AI (Artificial Intelligence), and Intelligent Systems.

Leonid M. Fridman received an M.S. degree in mathematics from Kuibyshev (Samara) State University, Samara, Russia, in 1976, a Ph.D. degree in applied mathematics from the Institute of Control Science, Moscow, Russia, in 1988, and a Dr. Sc. degree in control science from Moscow State University of Mathematics and Electronics, Moscow, Russia, in 1998. From 1976 to 1999, he was with the Department of Mathematics, Samara State Architecture & Civil Engineering University. From 2000 to 2002, he was with the Department of Postgraduate Study and Investigations at the Chihuahua Institute of Technology, Chihuahua, Mexico. In 2002, he joined the Department of Control Engineering and Robotics, Division of Electrical Engineering of Engineering Faculty at the National Autonomous University of Mexico(UNAM), Mexico. His research interest is mainly variable structure systems. He is a co-author and co-editor of 11 books and 18 special issues devoted to sliding mode control. From 2014- 2018 he served as a Chair of TC on Variable Structure and Sliding Mode Control of IEEE Control Systems Society. He is the recipient of the Harold Chestnut Control Engineering Textbook Prize of IFAC for his co-authored book "Sliding Mode Control and Observation", winner of the National University Prize at UNAM in 2019, and Scopus prize for the best cited Mexican Scientists in Mathematics and Engineering 2010. Professor Fridman served and serves as an associated editor in different leading journals of control theory and applied mathematics. He was working as an invited Professor in more than 20 universities and research laboratories in Argentina, Australia, Austria, China, France, Germany, Italy, Israel, and Spain.

Dr. HDR Christian LAUGIER is Research Director at Inria and Scientific Advisor for Probayes SA. His current research interests mainly lie in the areas of Autonomous Vehicles, Embedded Perception, and AI &Bayesian Reasoning. He is a member of several IEEE International Scientific Committees and he has co-organized numerous workshops and major IEEE conferences in the field of Robotics such as IROS, IV, FSR, and ARSO. He also co-edited several books and special issues in high-impact Robotics or ITS journals such as IJRR, JFR, RAM, T-ITS, or ITSM. He recently brought recognized scientific contributions and patented innovations to the field of Bayesian Perception & Decision-making for Autonomous Robots and Intelligent Vehicles. He is IROS Fellow and he is the recipient of several IEEE and conferences awards in the fields of Robotics and Intelligent Vehicles, including the IEEE/RSJ Harashima award 2012. In addition, he has co-founded four start-up companies

Kenneth Carling earned his Ph.D. in statistics in 1995 at Uppsala University, Sweden. Currently working as a professor and head of Microdata Analysis at Dalarna University in the Department of Data and Information Sciences, he has published some 50 peer-reviewed international articles on economics, transports including environmental impact assessments, operational analysis, and computing in addition to statistical methodology and applications. He has served as program manager for a master's program in Business Intelligence as well as Data Science. Currently, he leads a LivingLab on data-sharing on the last-mile distribution market in an EU consortium and a project on a decision support system for retailers' site locations. He is also engaged in several studies on applied technologies applied for online price settings extended to also include market failures due to systemic risk and collusion prompted by the same technology. Moreover, he is involved in setting the Swedish R&D plan for the cyber security of national transport infrastructure.

Micaela Parker is the Founder and Executive Director of the Academic Data Science Alliance (ADSA). ADSA is a community network for academic data science leaders, practitioners, and educators. We support new forms of community-driven resource building and sharing of approaches for the thoughtful integration of data science best practices in higher education. Before launching ADSA, Micaela worked for the Moore- Sloan Data Science Environments and was an Executive Director for the University of Washington's eScience Institute. At eScience, she developed research and training programs and participated in strategic planning and fiscal oversight. Based on her years of experience, Micaela now offers to consult for emerging data science initiatives in academia. Prior to her entry into data science, Micaela was a research scientist for 10 years at the University of Washington's School of Oceanography, where she also earned her Ph.D. She managed the Center for Human Health and Ocean Studies and was involved in many large, interdisciplinary projects bridging oceanography and genomics. She holds the title of eScience Data Science Fellow and she is a Research Scholar with the Ronin Institute for Independent Scholarship.

Ph.D. in Microdata Analysis (2021) from Dalarna University, Sweden. Certified Management Accountant from the Institution Of Certified Management Accountants of USA since 2012. I am a Senior Lecturer in Accounting at the University of Gavle and a Lecturer in Informatics at the Dalarna University, Sweden. I teach courses in Data-Driven Leadership and Data Analysis and Visualization in the Business Intelligence and Data Science master programs at Dalarna University and advanced Financial, Sustainability, and Management accounting courses in the MBA program at the University of Gävle. I also supervise master theses in these programs. My research interest includes financial and nonfinancial accounting, accounting and auditing reforms, cyber security issues in the transport sector, and applied natural language processing.

Eric A. Vance is an Associate Professor of Applied Mathematics and the Director of the Laboratory for Interdisciplinary Statistical Analysis (LISA) at the University of Colorado Boulder, USA. He is an Elected Member of the International Statistical Institute and a member of its Capacity Building Committee and a Fellow of the American Statistical Association (ASA). Prof. Vance is the Global Director of the LISA 2020 Network, which comprises 35 statistics and data science collaboration laboratories in 10 developing countries and more stat labs in development. He researches the micro- and macro-theory of collaboration, i.e., what data scientists need to know to become effective interdisciplinary collaborators and what institutions can do to promote interdisciplinary collaboration between domain experts and data scientists.

Hai- Ning Liang is a Professor with the Department of Computing at Xi'an Jiaotong- Liverpool University (XJTLU), Suzhou, China. He is the Founding Head of the Department of Computing. He is also the Founding Deputy Director of the Suzhou Key Lab for Virtual Reality Technologies, Suzhou Key Laboratory of Intelligent Virtual Engineering, and the XJTLU Virtual Engineering Center. He completed his Ph.D. in computer science from Western University, Canada. He had also worked at the University of Queensland in Australia and the University of Manitoba in Canada. His main research interests fall within human-computer interaction, focusing on virtual/augmented reality and gaming technologies. He has published widely in top-rated journals and conferences in these areas, such as ACM ToG, ToCHI, IMWUT, UIST, CHI, IEEE TVCG, VR, and ISMAR. He is actively involved in the organization of conferences and editing special issues.

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.

Dr. Yashar Javadi is a Strathclyde Chancellor's Fellow (Lecturer as part of the Strathclyde Global Talent Programme) at the University of Strathclyde. His multidisciplinary work has been reflected in his appointment which is a joint appointment between two departments (EEE and DMEM). He is currently the Guest Editor of "Welding and Additive Manufacturing for Industry 4.0", a special issue of "The Journal of Manufacturing and Material Processing", and also on the Topic Board of that journal. He is also the editor of the Special Issue "Robotic Non-Destructive Testing" in Sensors. In a career spanning over 16 years in the field of engineering (particular focus on welding, non-destructive evaluation, additive manufacturing, and robotics), he has worked as a lecturer and postdoctoral research associate (at the University of Manchester and the University of Strathclyde) in the academia and also a manager of the welding/NDT department and welding engineer in the industry. He has published fourty journal papers with 1000 citations in total including two papers with 100 citations. Currently, he is a member of the Centre for Ultrasonic Engineering (CUE) where his research focus is on the in-process inspection and residual stress measurement (non-destructive methods) in the welding and Wire + Arc Additive Manufacturing (WAAM). Some part of his current research output is reflected in two WAAM/NDT papers published in Insight (2018) and Additive manufacturing (2019) journals plus two Welding/NDT papers recently published (2020) in Materials & Design (in-process calibration) and the Journal of Manufacturing Processes (residual stress).

Gaurav Agarwal was born in Moradabad, India, in 1980. He is Ph.D. in Computer Science from the Indian Institute of Technology (ISM), Dhanbad; M.Tech. in Computer Science & Engineering from Shobhit University, Meerut; B.E. in Computer Engineering from the North Maharastra University, Jalgaon, Maharastra, India, in 2003. Since November 2022, he has been with the Department of Computer Science and Engineering as an Assistant Professor, at KIET Group of Institutions, Ghaziabad, India. He has more than 18 years of academic experience. He is a life member of the International Association of Computer Science and Information Technology (IACSIT), the Indian Society for Technical Education (ISTE), and Vijnana Bharati (VIBHA). He was the recipient of the Young Investigator Award by Interscience Research Network (IRNet), Orissa, Vocational Award, Rotary International U.S.A., and The Rotary Foundation award for outstanding service for world understanding and peace. He has contributed more than thirty-five research papers in several International and National journals and conference proceedings of high repute. His main areas of research interest are Speech Signal Processing (Vocal emotion recognition), Genetic algorithms, and Web Search Engines.

"Dr. Praneel Chand has over 20 years of experience in engineering education, research, and projects. His work mainly focuses on the design and development of electronic and computer systems for control, automation, mechatronics, and robotics problems. Some specific problems worked on include: coordinating groups of mobile robots for exploration; mobile robot navigation and control; applications and control of robotic arms; automating Pacific Island musical instruments; remote laboratory systems. He has over 50 research outputs comprising journal papers (21), book chapters (2), conference proceedings papers (26), books (2), and others. Dr. Chand has served as a reviewer for several international journals and conferences. He is a guest editor for a journal special issue on computer/machine vision applications in robotics. Dr. Chand is currently a Senior Lecturer in the Centre of Engineering and Industrial Design at Waikato Institute of Technology Te Pukenga in Hamilton, New Zealand. He is also a member of the IEEE and its Robotics and Automation Society."

Lloyd F. Colegrove retired after a 29-year career at Dow, as the Director of Data Services and the Director of Fundamental Problem Solving within Manufacturing and Engineering. He was also the Analytics Platform Director for Dow's Manufacturing and Engineering's Industry 4.0 program. Lloyd's background is in Chemical Physics where he obtained a B.S. and Ph.D. from Texas A&M University. He spent 7 years in Polymer Research in Dow (R&D and TS&D) before moving into Manufacturing in an analytical measurement improvement role for plant quality assurance activities and then as a global quality leader for five Dow businesses. He then moved on to establish a new capability called Fundamental Problem Solving, where top chemists and engineers work on complex, often multi-effect, plant problems. With this established, he refocused his efforts working to establish the Data Services group that has developed and deployed novel analytics applications to improve data-based decision making in chemical operations. These efforts have been recognized with many industry awards. Lloyd consults on real-time analytics, artificial intelligence in the chemical industry, and process improvement strategies He is married with two daughters and is an avid cyclist, wilderness backpacker, and landscaper.

Prof. Krzysztof Dyczkowski Dean of Faculty of Mathematics and Computer Science, Associate professor in Department of Artificial Intelligence, Faculty of Mathematics and Computer Science, Adam Mickiewicz University in Poznan, Poland. His main research interests are computational intelligence methods in decision-making, computer vision, and natural language modeling. Co-author of an intelligent decision system supporting the diagnosis of ovarian cancer - OvaExpert. Currently actively involved in cooperation with a football club Lech Poznan on sports data analysis. He received Microsoft Research Azure Award (2015) and IBM Faculty Award (2010). Member of IEEE Computational Intelligence Society and European Society for Fuzzy Logic and Technology (EUSFLAT). He has many years of experience in IT project management. Co-founder and longtime CEO of an IT company producing and implementing an ERP class system. He is a graduate of the Top 500 Innovators program at Stanford University (2012). He was a co-organizer of US-Poland Innovation HUB.

Dr. Chien-Ho Ko is a Research Professor and Director of Craig and Diane Martin National Center for Construction Safety in the Department of Civil, Environmental & Architectural Engineering at the University of Kansas, USA. He has been conferred numerous academic awards, including best paper, outstanding professor, researchawards, and teaching awards. Dr. Ko has published over 40 refereed journal papers and 70 conference papers. In addition, he has participated as Principal Investigator in over 40 research projects funded, e.g., by the National Science Council. Additionally, he is an inventor with more than 30 patents. Dr. Ko is a reviewer for more than 30 different journals, serves on the editorial boards of 20 more, and is the Editor-in-Chief of the Journal of Engineering, Project, and Production Management (Scopus and EiCompendex indexed).

(1)Education: Dr. of Engineering (Ph. D) in University of Tokyo, 1987 (2) Career: I have been working at the Tokyo University of Technology. Dean of the Graduate School of Bionics, Computer and Media Sciences (April 2017-March 2019), Dean of the School of Computer Science (April 2013-March 2017), Advisor to President (International Affairs) (April 2009-March 2012), and Professor of the School of Computer Science (April 2007-Present). (3) Research Activities: The core of my research field is Thought and Language. I have been mainly studying various topics in the research field of Thought and Language 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. I developed a communication robot PDDIN with an artificial mind to express itself and also guess other's states of mind. I have 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. At the same time, I have been interested in the education of software engineering, e.g., creating advanced teaching materials and proposing various kinds of teaching methods mainly for software education for novice students, i.e., those in the first year of university. And recently, I have just started to study metaverse, where people learn a foreign language or share things to realize some SDGs.

I have a background in Electronic Engineering and Software Engineering, with a Ph.D. in Computational Robotics and Neuroscience from the University of Sunderland. I am a Professor and Academic Dean of the Faculty of Technology. I have spent much of my academic career in the area of Human-Robot Interaction, and Ethics and Trust around Artificial Intelligence and Machine Learning systems. I've worked on many research projects from FP7 to H2020 and with businesses and organizations including DASA, QinetiQ, UK Home Office, Borderforce, Smith and Nephew, and many more including SMEs. I am interested in research into the acceptance of technology, robotics, and AI into society, the social challenges of this, and how we design AI and Robots to be socially acceptable. This includes looking at work around human factors, cognitive biases, and personality and ethics. I am interested in understanding the application of Artificial Intelligence and Machine Learning to societal problems. I also have interests in security, from computer security (such as ethics, and encryption) to border security (through my work with the UK Home Office and Border Force) to food security and policy.

Beiyu Lin is an Assistant Professor in Computer Science at the University of Nevada - Las Vegas. She constructs computational models based on ambient data to identify people’s routine behavior patterns and assess their behavior changes; she also develops algorithms to apply these findings to diverse areas, such as personalized healthcare. The impact of her multi-disciplinary research collaborations has been reported in multiple publications. Beiyu has received several honors and awards, including Best Applied Data Science Paper Award SIAM International Conference on Data Mining 2021 and People Choice Award for Young Professional Poster Competition, IEEE Rising Stars, 2022. Beiyu has also been actively serving the community. She would like to help the next generation of students become data mining and educational leaders.

Jerry Zeyu Gao is a professor at the Department of Computer Engineering at San Jose State University. He had over 15 years of academic research and teaching experience and over 10 years of industry working and management experience in software engineering and IT development applications. He has published hundreds (180) publications in IEEE/ACM journals, magazines, International conferences, and workshops. He has co-authored three published technical books and edited numerous books in software engineering, software testing, and mobile computing. In the last 10 years, Dr. Gao has played as one of the leaders in organizing many international conferences and workshops as a conference co-chair, program co-chair, and workshop co-chair. These include SEKE06-2011, IEEE MobileCloud2013, IEEE SOSE2011-2013, ICYCS'05, TQACBS2005-2006, WMCS2004-2010, IEEE EMOBS07-08, TEST'07, and EECC2006. In this year, he served as a conference chair of IEEEMobileCloud2015, IEEE SOSE 2015, and IEEE BIGDATA SERVICE 2015.

Dr. Ahmed Ragab is an AI research scientist working for Natural Resources Canada. Also, he is an adjunct professor at the Department of Mathematics and Industrial Engineering, Polytechnique Montreal. He received a Ph.D. degree in Industrial Engineering from Polytechnique Montreal, Canada. His research interests include AI, Data & Decision Fusion, Image Processing, Causality Analysis, Discrete Event Systems, and Process Mining. His main activities focus on the practical challenges of Big Data and AI in a number of applications including Fault Diagnosis & Prognosis, Supervisory Control, and Systems Design, aiming at reducing energy consumption, Greenhouse gas (GHG) emissions in industrial processes.

Member of the LAMIA laboratory at the University of the French West Indies since 2002, I successively worked on combinatorial optimization problems based on metaheuristics (Genetic Algorithms, taboo search, etc.), then on classification (Decision tree , SVM, etc.) and finally on Artificial Intelligence based on classic neural networks (DNN, CNN, etc.) and spiking neural network (SNN, etc.). Our Working Group is particularly interested in SNN because of their smaller size and also lower energy consumption. My current research topics concern the explainability of neural networks as well as the integration of ethics in the development of Artificial Intelligence.

Dr. Xiaohui.Zou, Director of Sino-US Searle Research Center. 1997-2000 Postgraduate Diploma in International Law, Jilin University, 2007-2008 DomesticVisiting Scholar of Peking University, 2009-2015 China University of Geosciences (Beijing) Institute of Higher Education, Graduate Supervisor and, Part-time Researcher, 2010-2012Visit at the University of California, Berkeley (Invited to Harvard University for exchange), 2011-2018 Doctoral supervisor and chief researcher of Sino-US Searle Research Center, 2017-2019 Peking University Interdisciplinary Forum Host, 2020-2022 Tsinghua University Rain Classroom Smart System Studied Series Courses Teaching.

Dr. Shaomin Wu is a professor of Business/Applied Statistics at the University of Kent, UK. He obtained both his MSc degree and PhD degree in applied statistics. His research interests include machine learning, reliability mathematics, and recurrent event data analysis, in which he has published in more than 90 journal papers. Shaomin serves as an associate editor or a member on the editorial boards of six journals. He has co-chaired four international conferences.

Will update soon....

Prof. Felice Festa, Chieti - Pescara "G. d'Annunzio" University, Full Professor in Orthodontics and Gnathology, 2013 SIDO President, Director Specialty School in Orthodontics, Honorary Professor Moscow State Univerity from 2016. Prof. Festa research and clinical areas related to robotics research areas: Human Brain Connectivity Evolution, TMJ Diagnosis, and Treatment, Applications of Genomic Anthropology in Orthodontics, and 3D CBCT Volumetric Analysis. Prof. Festa has developed a new Brain Connectivity-TMJ-Orofacial Pain spine-related diagnostic-treatment protocol based on Human Brain Connectivity Evolution from 2010, with more than 3000 patients treated. The patient sample shown in the workshop is the first evidence in PUBMED of brain connectivity change after any kind of therapeutic approach. It could be useful in the design of Artificial Intelligence-Androids with Deep Brain-Superficial Layers of Cerebral Cortex Connectivity enhancement via Default Mode Network (DMN) and Pain Network (PN).

Guanglei Wu, Associate Professor Dr. Guanglei Wu received his PhD in robotics from Aalborg University, Denmark, 2013, and worked as an industrial Postdoc fellow in Aalborg University from 2014 to 2016. He was a visiting scholar in the Research Institute in Communications and Cybernetics of Nantes (currently reorganized as Laboratory of Digital Sciences of Nantes-LS2N) in June-July 2012, in McGill University in Aug. 2015, and in Aarhus University in 2020. Currently, he is an associate professor in School of Mechanical Engineering, Dalian University of Technology (DUT). His research interests include robotic technology, conceptual design and performance evaluation of robots, robot dynamics and control, industrial robots and their applications. He has published one monography by Springer, 9 patents, and over 80 peer-reviewed articles in international journals and conferences. He was the awardee of DUT Xinhai 1000 Youth Talent program, IFToMM Asian MMS & CCMMS 2016, Dept. Sci. Tech. Liaoning province, Longcheng Talent program by Changzhou Municipality. He is the referee for over 50 international journals and conferences in the fields of mechanisms and robots.

Carolyn J. Swinney received a B.Eng.(hons.) degree (first class) in 2007 and a M.Sc.(dist.) in Electronics Engineering from the University of Essex, Colchester, UK in 2013. She graduated as a Communications and Electronics Engineering Officer in the Royal Air Force in 2014. She currently works within the Air and Space Warfare Centre and is working towards a Ph.D. degree in Electronic Systems Engineering at the University of Essex, Colchester, UK. Her main research interests are signal processing, autonomous vehicles, machine learning and deep 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 WorldFIP 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.

Prof. Dr. Yousef FARHAOUI, is Professor at Moulay Ismail University, Faculty of sciences and Techniques, Morocco. Chair of IDMS Team, Director of STI laboratory. Local Publishing and Research Coordinator, Cambridge International Academics in United Kingdom. He obtained his Ph.D. degree in Computer Security from Ibn Zohr University of Science. His research interests include learning, e-learning, computer security, big data analytics, and business intelligence. Farhaoui has three books in computer science. He is a coordinator and member of the organizing committee and also a member of the scientific committee of several international congresses, and is a member of various international associations. He has authored 6 Book and many Book Chapters with Reputed Publishers such as Springer and IGI. He is served as a Reviewer for IEEE, IET, Springer, Inderscience and Elsevier Journals. He is also the Guest Editor of many Journals with Wiley, Springer, Inderscience, etc. He has been the General Chair, Session Chair, and Panelist in Several Conferences. He is Senior Member of IEEE, IET, ACM and EAI Research Group.

Dr. K. P. Sanal Kumar received the M.C.A., degree fromM.S.University,Tirunelveli, India in 2000. He received the M.Tech degree in Computer Science and Engineering from Bharath University, Chennai, India in the year 2005. He received the M.Phil degree in Computer Science from M.S University, Tirunelveli, India in the year 2008. He received his Ph.D in Computer Science and Engineering from Annamalai University, Chidambaram, India in 2019. He has been with Annamalai University, Since 2008. Currently he is working as Assistant Professor in the P.G. Department of Computer science at R.V. Government College, Chengalpattu, Tamilnadu, India (on Deputation). He has published 40 papers in international journals and conferences. He has authored 5 Text books including IOT Security, Block Chain Technology, Artificial Intelligence inspired with ML and Data Science, Fundamentals and advanced Guide to ML and Complex Network and Role or Impact of Artificial Intelligence in sustainable smart cities and Urban mobilities. He is a life member of CSI, ISTE, IAENG, IISTEM and Professional Member of IFERP. He is serving as a member of Editorial and Reviewer Boards in many National and International Journals including Elsevier, Springer etc. His research interest includes Image Processing, Soft Computing, Data Mining, Pattern Recognition, Machine Learning, Deep Learning and Wearable Computing etc.

Ibrahim Cil is a Professor in Industrial Engineering at the Sakarya University, Turkey. Prof. Dr. Ibrahim Cilreceived his MSc degree in Industrial Engineering fromYildiz Technical University, and his PhD in Industrial Engineering from Istanbul Technical University, Istanbul, Turkey.His research interests include artificial intelligence, data analytics, business intelligence,data mining, process mining, decision support systems, multi criteria decision making,lean manufacturing and facility planning and layout.He is a member of the organizing committee and also a member of the scientific committee of several international congresses, and is a member of various international associations.He has been the invited speaker, the session chair, and panelist in several conferences.He has published numerous articles in Artificial Intelligence Review, Decision Support Systems, Expert Systems with Applications, Robotics and Computer Integrated Manufacturing, Int J of Computer Integrated Manufacturing, Int J Adv Manufacturing Technology, The Engineering Economist, and others. He managed many projects on Lean Transformation and Industry 4.0 transition in different sectors. He is married, has two sons, is a tennis player, and enjoys hiking in the wild.

Dr. Wen-Cheng Lai has been working in the field of radio-frequency circuits, analog IC integrated design, microwave antenna, computer and communication, and artificial intelligence for more than 25 years. He has authored/ co-authored more than 250 SCI-indexed journals and IEEE conference/ EI papers. He edited more than 20 SCI-indexed journals. He received his Ph.D. degree from the National Taiwan University of Science and Technology, Taiwan. He is a professor at the National Yunlin University of Science and Technology, Taiwan.

Dr. Altan has been a full professor at Fatih Sultan Mehmet vakif University. She received B.Sc. from the computer science department at Istanbul Technical University and a Ph.D. from the computer engineering department of Gebze Technical University. Then she studied machine learning and human-computer interaction and human-robot interaction. She is the founder of Psikojenez Advanced Software and Computer System Start-up company (She won government support). Her research interests mainly include education materials, mobile applications based on augmented reality for kindergarten, children with mental disorders, and autism spectrum disorders. She designs computer interfaces with artificial intelligence and machine learning algorithms for user interfaces. She is a member of many academic associations and she continues her studies with teams from many countries.

Fadhil Mukhlif Completed his B.Sc. in Electrical Engineering from University of Tikrit, Iraq in 2010, M.Eng. in Telecommunication Systems from University Technical Malaysia Melaka (UTeM), Malaysia in 2013 and PhD in Computer Networks & Wireless from Faculty of Engineering, University of Malaya (UM), Malaysia in 2020. He is currently a Postdoctoral Research Fellow in the School of Computing, Faculty of Engineering, Universiti Teknologi Malaysia (UTM), Johor, Malaysia. His research interest mainly includes Computer Networks, AI, Machine & Deep Learning, Telecommunication Networks, UAV, IoT, WSN, Game Theory, Cloud Networks.

Dr. X. Cao obtained her Ph.D. from the School of Management, Fudan University, China. She is now a full professor at the School of Business, Jiangnan University, China. Her research interests include management of robotic systems, portfolio optimization, computational finance, artificial intelligence, and fraud detection. She has published over 30 peer-reviewed papers in premier journals.

Dr. Gaddisa Olani received a B.Sc. degree in Computer Science and IT from Wollega University, Ethiopia in 2010, an M.Sc. degree in Computer Science from Addis Aba University, Addis Ababa, Ethiopia in 2013, and a Ph.D. degree in Social Network Analysis and Human-Centered Computing (focus on Artificial Intelligence and It's an application) from the National Tsing Hua University (in collaboration with Academia Sinica), Taiwan in 2020. Currently, he is an Assistant Professor of Computer Science and the dean of the School of Computing at Dire Dawa University in Ethiopia. Dr. Gaddisa has diversified research expertise. His research interests include Natural Language Processing, Computer Vision, Data Science, Cyber Security, and Storage Optimization. He has been very active in professional activities. Dr. Gaddisa serves as the Editor-in-Chief of the Harla Journal of Engineering and Technology and serves as a reviewer in other journals.

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Corrado Aaron Visaggio is an associate professor at the Department of Engineering of the University of Sannio. He obtained the MSc in Electronic Engineering (2001) from Politecnico di Bari and a Ph.D. in Information Engineering (2005) from the University of Sannio. His main research interests are malware analysis, data protection, data protection, and threat intelligence. He is the director of the Unisannio Chapter of the CINI Cybersecurity National Lab. He leads the Cybersecurity Lab at the Department of Engineering of the University of Sannio and founded two tech companies. He has authored almost one hundred scientific papers and he serves on several Editorial Boards of International journals and Program committees of international conferences.

Jorge Davila received the BSc and MSc degrees from the National Autonomous University of Mexico (UNAM) in 2000 and 2004. In 2008, he received a Ph.D. degree from the National Autonomous University of Mexico (UNAM) and was awarded the Alfonso Caso medal for the best thesis in the Ph.D. program. He currently holds a full Professor position at the Instituto Politecnico Nacional of Mexico. He is part of the Laboratory of Control and Autonomous Systems. He is also an Associate Editor of the IFAC Journal of Nonlinear Analysis: Hybrid Systems, a member of the Conference Editorial Board of IEEE, and a High-Level Foreign Expert of the Ministry of Education of China. He is an IEEE Senior Member and an AIAA Senior Member. His research interests include observation of systems with unknown inputs, design of observers for switching systems, robust control design, control of nonholonomic systems, and control and estimation of multi-agent systems

Yan Shi is a full professor at the School of Automation Science and Electrical Engineering, Beihang University, Beijing, China. He received his doctoral degree in mechanical engineering from Beihang University. Dr. Shi received the Top young talents of the national ten thousand talents plan in 2018 and won the second prize in the National Science and Technology Progress Award in 2017. From 2013 to 2019, he won first and Second prizes from Machinery Industry Federation three times. His research interests include mechatronic engineering and human-robot interaction control.

Zhenhui Yuan is Senior Lecturer at Northumbria University (UK). He received his B.degree (Software Engineering) at Wuhan University, China, in 2008 and his Ph.D. (Electronic Engineering) at Dublin City University, Ireland, in 2012. His research interests lie in wireless communication systems for robots and vehicles. He was the postdoc researcher (2012- 2014) at Ericsson and Enterprise Ireland and the visiting scholar (2014) at Network Research Lab (led by Prof. Mario Gerla), UCLA, U.S. He was a 3GPP delegate (2014- 2015) on 5G at Huawei (Shanghai). During 2015- 2019, he joined the Key Lab of RF Circuits and Systems (Ministry of Education) at Hangzhou Dianzi University as an Associate Professor. He co-founded RobSense (Hangzhou) Technology Co.Ltd which designs and produces UAV flight controllers and IoT gateways. RobSense has received over pound 1m in venture investment since 2015. In 2019-2020, he was the Assistant Professor at Maynooth University (Ireland). In 2020, he joined Northumbria University (UK) as the Senior Lecturer. He won the best paper awards at IEEE ICCRE 2016 and IEEE BMSB 2014. He is the Associate Editor at IEEE ACCESS, IEEE Transactions on Consumer Electronics, and the Journal of Pervasive Computing & Communications. He is a voting member of IEEE P1954 on UAV communications since 2022.

Marcin Pietron received Ph.D. in Computer Science in 2014 at AGH University of Science and Technology in Krakow, Poland. His research concentrates on artificial intelligence and parallel computing. He is an Associate Professor at AGH University of Science and Technology in Krakow. He works as an AI scientific consultant for many high-tech companies. He is the author of about 70 research articles.

Faisal Syafar received his BSc in Electronics Engineering from IKIP Ujung PandangofIndonesiain1990, the first Master in Remote Sensing from Gadjah Mada University, Indonesia in 1996, the second Master in Information Technology from the University of South Australia in 2009, and the Ph.D. in Information Technology from the University of South Australia in 2015. Heiscurrentlyan an Associate Professor of IT at Universitas Negeri Makassar, Indonesia where he is directing the Computing and Information Systems Research Centre. His research area spans mobile collaboration technologies, the Internet of Things, leveraging data and information to generate quality healthcare, engineering assets as well as teaching and learning domains. He has served as editor and reviewer of reputed International Journals and as TPC in many International Conferences in Computer, IS, and IT fields. He is a Member of the Institute of Electrical and Electronics Engineers (IEEE), Computer Supported Cooperative Work in Design (CSCWD), Association for Information Science and Technology (ASIS&T), professional member of the Association for Computing Machinery (ACM), an American Association for Science and Technology (AASCT) and Association for Information System (AIS). He has published in many academic journals, book chapters, and conferences proceedings on various topics covers relevant to his research background

Dr. Zohaib Jamal is a graduate of Rawalpindi Medical University, Pakistan currently working as a Junior Clinical Fellow in the Department of General and Colorectal Surgery at Wrightington, Wigan, and Leigh NHS Foundation Trust UK. He is aspiring to do his specialty training in Surgery in the UK. He believes in the futuristic approach of minimal surgery and has a special interest in robotics surgery. He is an active auditor and has completed and presented quality improvement projects at various national and international conferences.

Dr. Saad Kashem is a Senior Lecturer and D. Program Leader in Computing Science at the AFG College with the University of Aberdeen. He has 14 years of experience as an Instructor, Course Coordinator, and Researcher of Robotics, Computer Science, and Engineering courses in Australia, Malaysia, and Qatar. He received his B.Sc. in Electrical and Electronic Engineering from East West University and Ph.D. in Robotics and Mechatronics from Swinburne University of Technology, Australia. At present, he is the Adjunct Professor at Vel Tech University and Visiting Associate Professor at Presidency University. Prior to that, he worked at the Qatar Armed Forces - Academic Officers Program, Qatar Foundation, Qatar University, Texas A&M University, and the Swinburne University of Technology. Dr. Saad also worked in the industry for two years as an Executive Electrical Engineer and Control System Engineer in Brisbane Australia. Dr. Saad has already published 1 patent, 1 book, 5 book chapters, 47 peer-reviewed journals (Web of Science indexed:12, Scopus indexed:19), and 22 conference articles (Total= 73). https://scholar.google.com/citations?user=_Sxh6SUAAAAJ&hl=en. He is a professional member of the Institution of Engineering and Technology, UK (IET), the Institute of Electrical and Electronics Engineers (IEEE), IEEE Robotics and Automation Society, and the International Association of Engineers (IAENG). He is an editorial board member and reviewer of many internationally reputed Journals such as the Journal of Electrical and Electronic Engineering (USA), IEEE Transactions on Control Systems Technology (USA), Vehicle System Dynamics, Taylor, and Francis Ltd, (UK), etc. His research interests include Artificial Intelligence, Robotics, Machine Learning: Bio-Medical Engineering, and Renewable Energy.

AMR TOLBA received the M.Sc. and Ph.D. degrees from the Mathematics and Computer Science Department, Faculty of Science, Menoufia University, Egypt, in 2002 and 2006, respectively. He is currently a full professor of computer science at King Saud University (KSU), Saudi Arabia. He has authored/co-authored over 125 scientific papers in top-ranked (ISI) international journals (such as IEEE IoT, ACM TOIT, IEEE CEMAG, IEEE ACCESS, IEEE SYSTEMS, FGCS, JNCA, NC&A, JAIHC, COMNET, COMCOM, P2PNET, VCOM, WWWJ,.. etc..,) Prof. Tolba served as a technical program committee (TPC) member at several conferences (Such as DSIT 2022, CICA2022, EAI MobiHealth 2021, DSS 2021, AEMCSE 2021, ICBDM 2021, ICISE 2021, DSS 2020, NCO 2020, ICISE2019, ICCSEA 2019, DSS 2019, FCES 19, ICISE 2018, ESG'18, Smart Data'17, NECO 2017, NC'17, WEMNET'17, NET'17, Smart Data'16,...) He has been included in the list of the top 2% of influential researchers globally (prepared by scientists from Stanford University, USA) during the calendar years 2020, 2021, and 2022 respectively. Prof. Tolba served as Associate Editor/Guest Editor for several ISI journals. He has translated four books into the Arabic language. His main research interests include artificial intelligence (AI), the Internet of Things (IoT), data science, and cloud computing. Prof. Tolba is a Senior Member of IEEE.

Oliver Bimber is a full professor of Computer Science at the Johannes Kepler University Linz, Austria. He received Ph.D. and Habilitation degrees from TU Darmstadt and TU Munich. Bimber co-authored the book "Displays: Fundamentals and Applications" with Rolf R. Hainich and the book "Spatial Augmented Reality" with Ramesh Raskar (MIT). He served on the editorial board of the IEEE Computer Magazine for over ten years. The VIOSO GmbH was founded in his group. His students received several awards for their research and inventions, and have won scientific competitions, such as the ACM Siggraph Student Research Competition, and the ACM Student Research Competition Grand Final which was presented together with the Turing award. Bimber's research interests include visual computing and optics in the context of next-generation display and imaging technologies - focusing on light fields and their applications to sensing, display, and illumination. He recently introduced Airborne Optical Sectioning (AOS), a synthetic aperture imaging technique that captures unstructured light fields for real-time occlusion removal with drones. This work has been featured, i.a., in Nature Machine Intelligence and Science Robotics.

Dr. X. Anitha Mary received her Ph.D. in Electronics and Instrumentation Engineering from Karunya University, Coimbatore, India. She received a Master of Engineering in VLSI Design from Anna University and a Bachelor of Engineering in Electronics and Instrumentation Engineering from Bharathiar University, Coimbatore. Currently, she is working as an Associate Professor in the Department of Robotics Engineering, Karunya Institute Technology and Sciences (Deemed to be University), Coimbatore, India. She has authored/co-authored more refereed International Journals/conferences. She has authored 2 books and more than 10 book chapters with reputed international publishers like Elsevier, Springer, IGI Global, and CRC press. Her area of interest includes Intelligent autonomous systems, Sensors, embedded systems, artificial intelligence, and industrial robotics.

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Luy Nguyen Tan currently is an associate professor in automation and control engineering at the Faculty of ElectronicsTechnology, Industrial University of Ho Chi Minh City, Vietnam. He received B.S. and M.Sc.degrees in computer science and automation and control engineering and a Ph.D. degree in automation from the Ho Chi Minh City University of Technology, Vietnam, in 1996,2006, and 2015, respectively. His current research interests include adaptive dynamic programming, distributed control, large-scale systems, and robotic applications. He has published papers in reputational journals and served as a Reviewer for many journals, including IEEE transactions on neural network and learning systems, IEEE transactions on industrial electronics, IEEE transactions on cybernetics, IEEE transactions on system man, and cybernetics, IEEE transactions on industrial informatics.

Dr. Nasrin Mahavarpour received a B.Sc degree in Electronics Engineering from the University of Najafabad, Iran in 2008, and an M.A in marketing from the University of Esfahan, Iran in 2015, as well as, took a Ph.D. degree in marketing from Al-Zahra university, Tehran, Iran in 2021. She has an experiment of work by international company such as irancell as well as motosel industrial group. She currently works within the Entekhab industrial group and in product management domain. Her main research interests are digital marketing, open innovation, and service innovation.

Dr. Yazan Alaya AL - Khassawneh holds a Bachelor of Computer Science from Yarmouk University, Jordan in 2004, a Master of Computer Science (M.Sc.) from University Kebangsaan Malaysia (UKM) in 2011 andPh.D in Artificial intelligence from University Technology Malaysia in 2017. He is currently lecturing in the department of Data Science and Artificial Intelligence at Zarqa University, Zarqa, Jordan. He is a founding member of the Artificial Intelligence and Entrepreneurship Association / Jordan. His research areas of interest include Artificial Intelligent, Data Mining, Information Retrieval, and Graph Theory.

Abdul Razaque is a Professor in the Department of cybersecurity at InformationTechnology University, Almaty, Kazakhstan. He received a Ph.D. degree in Computer Science& Engineering from the University of Bridgeport, USA, in 2015. His research interests include wireless sensor networks, IoT, cybersecurity, Blockchain technology, and cloud computing security. He served on the Editorial Board for several international journals, including serving as the Editor-in-Chief for International Journal for Engineering and Technology (IJET), Singapore. Dr. Abdul Razaque is the author of more than 200 articles, published in IEEE, Elsevier, MDPI, Springer, etc. Additionally, he is the author of 4 academic books.

Stephen Afrifa received his BSc in Information Technology from the University of Energy and Natural Resources (UENR), Ghana. He is a graduate researcher at Tianjin University, China, where he pursues MSc in Information and Communication Engineering. His research interest includes machine learning, data science, artificial intelligence, cybersecurity, IoT, cloud computing, and blockchain technology. Stephen is currently working on modeling groundwater level changes and groundwater recharge using machine learning techniques for sustainable development. Additionally, he has articles published in MDPI, Springer, etc.