ROBOTMEET2022

Dr. Zhong Lin Wang is the Regents Professor and Hightower Chair at Georgia Institute of Technology, and Director of the Beijing Institute of Nanoenergy and NanosystemsDr. Wang pioneered the nanogenerators field for distributed energy, self-powered sensors, and large-scale blue energy. He coined the fields of piezotronics and piezo-phototronics for third-generation semiconductors. Among 100,000 scientists across all fields worldwide, Wang is ranked #5 in career scientific impact, #1 in Nanoscience, and #2 in Materials Science. His google scholar citation is over290,000 with an h-index of over 262. Dr. Wang has received the Celsius Lecture Laureate, Uppsala University, Sweden (2020); The Albert Einstein World Award of Science (2019); Diels-Planck lecture award (2019); ENI award in Energy Frontiers (2018); The James C. McGroddy Prize in New Materials from American Physical Society (2014); and MRS Medal from Materials Research Soci. (2011). Dr. Wang was elected as a foreign member of the Chinese Academy of Sciences in 2009, member of the European Academy of Sciences in 2002, academician of Academia of Sinica 2018, an International fellow of Canadian Academy of Engineering 2019; Foreign Member of the Korean Academy of Science and Technology 2019. Dr. Wang is the founding editor and chief editor of an international journal Nano Energy, which now has an impact factor of 16.6.

Dr. Chenguang Yang is the leader of Robot Teleoperation Group and Professor of Robotics at Bristol Robotics Laboratory, UK. He received a Ph.D. degree from the National University of Singapore, Singapore, in 2010, and postdoctoral training in human robotics from the Imperial College London, London, U.K. He was awarded UK EPSRC UKRI Innovation Fellowship (2018) and individual EU Marie Curie International Incoming Fellowship (2011). He is the supervisor of an H2020 Marie Sklodowska-Curie Standard European Fellow (2021-2022). As lead author, he won the IEEE Transactions on Robotics Best Paper Award (2012) and IEEE Transactions on Neural Networks and Learning Systems Outstanding Paper Award (2022). He was titled Highly Cited Researcher 2019 by Web of Science. He is a Fellow of the British Computer Society and a Fellow of the Higher Education Academy. He is a Co-Chair of IEEE Technical Committee on Collaborative Automation for Flexible Manufacturing (CAFM) and a Co-Chair of IEEE Technical Committee on Bio-mechatronics and Bio-robotics Systems (B2S). He serves as Associate Editors of a number of international top journals including Neurocomputing and seven IEEE Transactions.

Ian Walker is a Professor in the Department of Electrical and Computer Engineering at Clemson University, USA. Professor Walker's research focuses on research in the construction, modeling, and application of continuum robots. He is a Fellow of the IEEE and an Associate Fellow of the AIAA.

Zhong-Ping JIANG received the B.Sc. degree in mathematics from the University of Wuhan, Wuhan, China, in 1988, the M.Sc. degree in statistics from the University of Paris XI, France, in 1989, and the Ph.D. degree in automatic control and mathematics from the ParisTech-Mines, France, in 1993, under the direction of Prof. Laurent Praly. Currently, he is a Professor of Electrical and Computer Engineering at the Tandon School of Engineering, New York University. He is known for fundamental contributions to nonlinear control theory and applications. In particular, he is a key contributor to nonlinear small-gain theory. His main research interests include stability theory, robust/adaptive/distributed nonlinear control, adaptive dynamic programming and their applications to information, mechanical and biological systems. He is coauthor of five books Stability and Stabilization of Nonlinear Systems (with Dr. I. Karafyllis, Springer, 2011), Nonlinear Control of Dynamic Networks (with Drs. T. Liu and D.J. Hill, Taylor & Francis, 2014), Robust Adaptive Dynamic Programming (with Y. Jiang, Wiley-IEEE Press, 2017), Nonlinear Control Under Information Constraints (with T. Liu, Science Press, 2018) and Robust Event-Triggered Control of Nonlinear Systems (with T. Liu and P. Zhang, Springer Nature, 2020). Dr. Jiang is a Deputy Editor-in-Chief of the Journal of Control and Decision and of the IEEE/CAA Journal of Automatica Sinica, and has served as a Senior Editor for the IEEE Control Systems Letters and the Systems and Control Letters, an Editor for the International Journal of Robust and Nonlinear Control and an Associate Editor for several journals including Mathematics of Control, Signals and Systems (MCSS), Systems & Control Letters, IEEE Transactions on Automatic Control, European Journal of Control, and Science China: Information Sciences. Dr. Jiang is a recipient of the prestigious Queen Elizabeth II Fellowship Award from the Australian Research Council (1998), the CAREER Award from the U.S. National Science Foundation (2001), JSPS Invitation Fellowship from the Japan Society for the Promotion of Science (2005), the Distinguished Overseas Chinese Scholar Award from the NSF of China (2007), and the Chair Professorship by the Ministry of Education of China (2009). His recent awards include the Steve and Rosalind Hsia Best Biomedical Paper Award at the 2016 World Congress on Intelligent Control and Automation in Guilin, China, the Best Paper Award at the 2017 Asian Control Conference, Gold Coast, Australia, and the Best Paper Award on Control at the 2018 IEEE Conf. on Real-Time Computing and Robotics, Maldives.

David Zhang graduated in Computer Science from Peking University. He received his MSc in 1982 and his Ph.D. in 1985 in both Computer Science from the Harbin Institute of Technology (HIT), respectively. From 1986 to 1988 he was a Postdoctoral Fellow at Tsinghua University and then an Associate Professor at the Academia Sinica, Beijing. In 1994 he received his second Ph.D. in Electrical and Computer Engineering from the University of Waterloo, Ontario, Canada. He has been a Chair Professor at the Hong Kong Polytechnic University where he is the Founding Director of Biometrics Research Centre (UGC/CRC) supported by the Hong Kong SAR Government since 1998. Currently he is Presidential Chair Professor in Chinese University of Hong Kong (Shenzhen). Over past 40 years, he has been working on pattern recognition, image processing and biometrics, where many research results have been awarded and some created directions, including medical biometrics and palmprint recognition, are famous in the world. So far, he has published over 20 monographs, 500+ international journal papers and 40+ patents from USA/Japan/HK/China. He has been continuously 8 years listed as a Global Highly Cited Researchers in Engineering by Clarivate Analytics during 2014-2021. He is also ranked about 85 with H-Index 122 at Top 1,000 Scientists for international Computer Science and Electronics. Professor Zhang is selected as a Fellow of both RSC(Royal Society of Canada) and CAE(Canadian Academy of Engineering). He also is a Croucher Senior Research Fellow, and an IEEE Life Fellow and an IAPR/AAIA Fellow.

Angel Pasqual del Pobil is a Professor of Computer Science and Artificial Intelligence at Jaume I University (Spain), where he is the founding director of the UJI Robotic Intelligence Laboratory. He was a Visiting Professor at Sungkyungkwan University, Korea (2009-2021). He holds a B.S. in Physics (Electronics, 1986) and a Ph.D. in Engineering (Robotics, 1991), both from the University of Navarra. He has been Co-Chair of two Technical Committees of the IEEE Robotics and Automation Society and is a member of the Governing Board of the Intelligent Autonomous Systems (IAS) Society (2012-present) and EURON (European Robotics Research Network of Excellence, 2001-2012). He has over 330 publications, including 14 books the last three published by Springer: Robot Physical Interaction through the combination of Vision, Tactile and Force Feedback (2013), Robust motion detection in real-life scenarios (2012), and The Visual Neuroscience of Robotic Grasping (2015). Prof. del Pobil was co-organizer of over 50 workshops and tutorials including: five at ICRA (1996, 2000, 2010-2012), ten at IROS (2000, 2004-2013), three at RSS (2008-2010, 2012), ECAI'04, ICAR'05 and ACM/IEEE HRI 2010. He was Program Co-Chair of the 11th International Conference on Industrial and Engineering Applications of Artificial Intelligence, General Chair of five editions of the International Conference on Artificial Intelligence and Soft Computing (2004-2008) and General Chair of the International Conference on Simulation of Adaptive Behaviour (SAB 2014). He is often Associate Editor for IEEE ICRA, IROS, RO-MAN, and ICDL conferences and has served on the program committees of over 240 international conferences, such as IJCAI, ICPR, ICRA, IROS, IAS, ICAR, etc. The UJI Robotic Intelligence Lab has organized 12 consecutive editions of IURS, the International UJI Robotics School. He has been General Chair for IURS 2005 on Robotics and Neuroscience, IURS 2006 on Humanoid Robots, IURS 2009 on Visuomotor Coordination and IURS 2012 on Perceptual Robotics. In 2015 and 2021 he was Chair of two summer schools fully funded by the IEEE Robotics and Automation Society. Prof. del Pobil has been involved in robotics research for the last 33 years, his past and present research interests include: humanoid robots, service robotics, internet robots, motion planning, mobile manipulation, visually-guided grasping, robot perception, multimodal sensorimotor transformations, robot physical and human interaction, visual servoing, robot learning, developmental robotics, and the interplay between neurobiology and robotics. Professor del Pobil has been invited speaker of 80 tutorials, plenary talks, and seminars in 14 countries. Since 2019 he is a Distinguished Lecturer of the IEEE Robotics and Automation Society. He serves as associate or guest editor for seven journals, including Springer Intelligent Service Robotics, and as expert for research evaluation at the European Commission, the US National Science Foundation, Spain Ministry of Science, among many others. He has supervised 19 Ph.D. Thesis, including winner and finalist of the Georges Giralt EURON PhD Award and the Robotdalen Scientific Award Honorary Mention. He has been Principal Investigator of 39 research projects. Recent projects at the Robotic Intelligence Lab funded by the European Commission include: GUARDIANS (Group of Unmanned Assistant Robots Deployed In Aggregative Navigation supported by Scent detection), EYESHOTS (Heterogeneous 3-D Perception Across Visual Fragments), GRASP (Emergence of Cognitive Grasping through Emulation, Introspection, and Surprise). Del Pobil is an active member of the IEEE Robotics and Automation Society and a lifetime member of the Association of the Advancement of Artificial Intelligence (AAAI).

Wenjun Zhang received his Ph.D. degree in Mechanical Engineering and Design from the Delft University of Technology, The Netherlands, in 1994. He is currently a full professor of the Department of Mechanical Engineering at the University of Saskatchewan, Canada. His current research area is resilient robotics, soft robotics, computational design, mechatronics, and engineering informatics. He has published over 400 refereed technical publications, among which over 329 papers appear in refereed journals and over 190 papers in refereed conference proceedings, in a broad scope of fields, including design and mechatronics, manufacturing, robotics, informatics, and human-machine systems. He holds dozens of patents, including three US patents. His paper received the best journal paper award for 2012 by the IEEE Transactions on Neural Networks. His papers received top 25 hottest articles by Mechatronics in 2006 &2005, by Expert Systems with Applications in 2011, by Microelectronics Journal. He has the google scholar H-index (57) and the web of science H-index (47). He was highly cited authors by Elsevier (China) from 2015 to 2018 (inclusive). He was included in the top 2% world scientists by Stanford in 2020. Dr. graduated over 35 Ph.D. students and over 100 MS (thesis) students. He received the 2012 Distinguished Graduate Supervisor Award from the University of Saskatchewan. He has served as a Senior Editor for the IEEE/ASME Transactions on Mechatronics, Associate Editor for several reputed journals including IEEE SMC – System, IEEE System Journal. He is an elected Fellow of the Canadian Academy of Engineering, and a fellow of the American Society of Mechanical Engineers, and Senior member of IEEE.

Zhu Han received the B.S. degree in electronic engineering from Tsinghua University, in 1997, and the M.S. and Ph.D. degrees in electrical engineering from the University of Maryland, College Park, in 1999 and 2003, respectively. From 2000 to 2002, he was an R&D Engineer of JDSU, Germantown, Maryland. From 2003 to 2006, he was a Research Associate at the University of Maryland. From 2006 to 2008, he was an assistant professor at Boise State University, Idaho. Currently, he is a John and Rebecca Moores Professor in the Electrical and Computer Engineering Department as well as Computer Science Department at the University of Houston, Texas. His research interests include security, wireless resource allocation and management, wireless communication and networking, game theory, and wireless multimedia. Dr. Han is an NSF CAREER award recipient 2010. Dr. Han has several IEEE conference best paper awards, and winner of 2011 IEEE Fred W. Ellersick Prize, 2015 EURASIP Best Paper Award for the Journal on Advances in Signal Processing and 2016 IEEE Leonard G. Abraham Prize in the field of Communication Systems (Best Paper Award for IEEE Journal on Selected Areas on Communications). Dr. Han is the winner 2021 IEEE Kiyo Tomiyasu Award. He has been an IEEE fellow since 2014, AAAS fellow since 2020, and IEEE Distinguished Lecturer from 2015 to 2018. Dr. Han is 1% a highly cited researcher according to Web of Science since 2017.

Dr. Naidu joined the EE Department as Minnesota Power Jack Rowe Endowed Chair in August 2014. He received his M.S. and Ph.D. degrees in Control Systems Engineering from the Indian Institute of Technology (IIT). Kharagpur. Dr. Naidu taught, visited and/or conducted research at IIT (up to – 1985); Guidance and Control Division at NASA Langley Research Center (1985-90); Old Domain University (1987-90); Idaho State University (1990-2014) as Founding Director of Measurement and Control Engineering Research Center (MCERC), Associate Dean of the College of Engineering (1998-2010) and Director School of Engineering (2010-13); United States (US) Air Force Research Laboratory (1998-99); Center of Excellence for Ships and Ocean Structures at Norwegian University of Science and Technology (2004); Measurement and Control Laboratory at Swiss Federal Institute of Technology (2005); the Universities of Western and Southern Australia (2008); East China Normal University (2011 He has over 300 journal and conference publications including 6 books and has been on the editorial boards of several journals including the IEEE Transactions on Automatic Control and Optimal Control: Applications and Methods. Dr. Naidu’s areas of teaching and research include electrical engineering, optimal control, nonlinear control, intelligent control, industrial control systems, and cyber security, biomedical engineering, and time scales in engineering, physical, and life sciences. He is an IEEE Fellow and Fellow of the World Innovation Foundation, UK.

Dr. Mahmoud Shafiee (Ph.D., CEng, MIMechE, MIET, MIMA, FHEA, PGCHE) is the Deputy Head of School of Engineering and Head of Mechanical Engineering at the University of Kent, United Kingdom. He has had several managerial and research positions, including Head of Research Group, Master’s Course Director, Research Scientist, Senior Research Fellow, Research Associate, Visiting Researcher, etc. at very prestigious universities in the world. He has led several government and industry-funded research projects within different industry sectors and worked with a number of academic and industry partners worldwide. He has also supervised over 100 postgraduate researchers through to the completion of their studies. Dr. Shafiee sits on the European Safety and Reliability Association (ESRA) Committee and is a Committee Member of the Institution of Mechanical Engineers (IMechE). He sits also on the editorial board of several International Journals.

Professor Tarek M. Sobh received the B.Sc. in Engineering degree with honors in Computer Science and Automatic Control from the Faculty of Engineering, Alexandria University, Egypt in 1988, and M.S. and Ph.D. degrees in Computer and Information Science from the School of Engineering, the University of Pennsylvania in 1989 and 1991, respectively. He is currently the Provost and Professor of Electrical and Computer Engineering at Lawrence Technological University (LTU), Michigan. He is a Distinguished Professor and Dean of Engineering Emeritus at the University of Bridgeport (UB), Connecticut. He was the University Executive Vice President, Research and Economic Development (2018-2020), Interim Provost (2020), Founding Dean of the College of Engineering, Business, and Education (2018-2020), and Distinguished Professor of Engineering and Computer Science (2010-2020), the Founding Director of the Interdisciplinary Robotics, Intelligent Sensing, and Control (RISC) laboratory, Founder of the High-Tech Business Incubator at UB (CTechIncUBator); and the Founding Director of the Bauer Hall Innovation Center. He was the Senior Vice President for Graduate Studies and Research (2014-2018), Vice President (2008-2014), Vice-Provost (2006-2008), Dean of the School of Engineering (1999-2018), Interim Dean of the School of Business, Director of External Engineering Programs, Interim Chair of Computer Science and Computer Engineering, and Chair of the Department of Technology Management. He was a Professor of Computer, Electrical, and Mechanical Engineering and Computer Science from 2000-2010, and an Associate Professor of Computer Science and Computer Engineering at the University of Bridgeport from 1995-1999, a Research Assistant Professor of Computer Science at the Department of Computer Science, the University of Utah from 1992-1995, and a Research Fellow at the General Robotics and Active Sensory Perception (GRASP) Laboratory of the University of Pennsylvania from 1989-1991. He was the Founding Chair of the Discrete Event and Hybrid Systems Technical Committee of the IEEE Robotics and Automation Society from 1992-1999, and the Founding Chair of the Prototyping Technical Committee of the IEEE Robotics and Automation Society from 1999-2001. His background is in the fields of robotics, computer science and engineering, control theory, automation, manufacturing, AI, computer vision, and signal processing.

Prof. Ivan Ganchev is an IEEE Senior Member, a URSI Senior Member, an ITU-T Invited Expert, and an IET Invited Lecturer. He was involved in 40+ international and national research projects. Prof. Ganchev has served on the Technical Program Committee of 350+ prestigious international conferences, symposia, and workshops. He has (co)authored 1 monographic book, 3 textbooks, 4 edited books, and 300+ research papers in refereed international journals, books, and conference proceedings. Prof. Ganchev is an Area Editor of the Elsevier “Computer Networks” journal, an Editorial Board Member of the Hindawi “Wireless Communications and Mobile Computing” journal, the MDPI “Electronics” journal, the MDPI “Mathematics” journal, and the Wiley “Internet Technology Letters” journal, and a Regional Editor (Europe) of the International Journal on Trust Management in Computing and Communications. He also seats on the Editorial Board of and has served as a Guest Editor for multiple other international journals.

Jamshed Iqbal is working as a Lecturer (Robotics) and Programme Director (Robotics and AI) at the University of Hull, UK. He has over two decades of multi-disciplinary experience in industry and academia. He holds a PhD in Robotics from Italian Institute of Technology (IIT), Genoa. With an H-index of 34, he has more than 100 peer reviewed papers on his credit. He is on the editorial board of five reputed journals and a program committee member of various IEEE internals conferences. He is a senior member of IEEE and Fellow of Advance HE.

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. Ouri Wolfson authored over 230 publications, and holds seven patents. He is a Fellow of the Association of Computing Machinery (ACM), a Fellow of the American Association for the Advancement of Science (AAAS), a Fellow of the Institute of Electrical and Electronics Engineers (IEEE), and a University of Illinois Scholar for 2009. He co-authored seven award winning papers, and served as a Distinguished Lecturer for the Association of Computing Machinery. Wolfson was the keynote and distinguished speaker at leading conferences and universities, most recently the The Eighth International Conference on Big Data Analytics (BDA2020) , Dec. 2020, and the International Conference on Transport and Smart Cities (ICoTS 2021) , Sept. 2021. Ouri Wolfson is the Editor in Chief of the MDPI Journal of Future Transportation , Specialty Chief Editor of Frontiers' Smart Technologies and Cities , and serves on the editorial boards of several journals. He chaired leading conferences, most recently he was the program co-chair of the 2020 Mobile Data Management (MDM) conference. His research has been funded by the National Science Foundation (NSF), Air Force Office of Scientific Research (AFOSR), Defense Advanced Research Projects Agency (DARPA), NATO, US Army, NASA, the New York State Science and Technology Foundation, Hughes Research Laboratories, Informix, Accenture, and Hitachi Co. During 2006-2015 he served as the Principal Investigator on a $3.1M NSF grant to establish a Ph.D. program in the new discipline of Computational Transportation Science.

Timothy Sands earned his engineer’s degree at Columbia University and a master of science degree from Stanford University both in Mechanical Engineering. The U.S. Naval Postgraduate School awarded his doctorate in astronautical engineering, and he now serves on the faculty at Cornell University. During nearly three decades of active duty service in the U.S. Air Force, he performed space mission design and space experimentation for the Department of Defense (DoD) Space Test Program (STP). He was also the propulsion engineer of the Atlas space launch vehicle and the reliability engineer of the Centaur upper stage. He was an executive and senior leader of both military postgraduate universities (the Air Force Institute of Technology and the Naval Postgraduate School respectively), having served sequentially as Chief Academic Officer, Associate Provost, Dean, Associate Dean, and research center Director. He was named a Fellow of the Defense Advanced Research Projects Agency (DARPA) in 2010.

Justin Dauwels is an Associate Professor at the TU Delft (Circuits and Systems, Department of Microelectronics). He was an Associate Professor of the School of Electrical and Electronic Engineering at the Nanyang Technological University (NTU) in Singapore till the end of 2020. He was the Deputy Director of the ST Engineering – NTU corporate lab, which comprises 100+ Ph.D. students, research staff and engineers, developing novel autonomous systems for airport operations and transportation. His research interests are in data analytics with applications to intelligent transportation systems, autonomous systems, and analysis of human behavior and physiology. He obtained his Ph.D. degree in electrical engineering at the Swiss Polytechnical Institute of Technology (ETH) in Zurich in December 2005. Moreover, he was a postdoctoral fellow at the RIKEN Brain Science Institute (2006-2007) and a research scientist at the Massachusetts Institute of Technology (2008-2010). He has been a JSPS postdoctoral fellow (2007), a BAEF fellow (2008), a Henri-Benedictus Fellow of the King Baudouin Foundation (2008), and a JSPS invited fellow (2010, 2011). He served as Chairman of the IEEE CIS Chapter in Singapore from 2018 to 2020 and serves as Associate Editor of the IEEE Transactions on Signal Processing (since 2018), Associate Editor of the Elsevier journal Signal Processing (since 2021), member of the Editorial Advisory Board of the International Journal of Neural Systems, and organizer of IEEE conferences and special sessions. He is also Elected Member of the IEEE Signal Processing Theory and Methods Technical Committee and IEEE Biomedical Signal Processing Technical Committee, both since 2018.His research team has won several best paper awards at international conferences and journals. His research on intelligent transportation systems has been featured by the BBC, Straits Times, LianheZaobao, Channel 5, and numerous technology websites. Besides his academic efforts, the team of Dr. Justin Dauwels also collaborates intensely with local start-ups, SMEs, and agencies, in addition to MNCs, in the field of data-driven transportation, logistics, and medical data analytics. His academic lab has spawned four startups across a range of industries, ranging from AI for healthcare to autonomous vehicles.

DONGSOO HAR received the B.Sc. and M.Sc. degrees in electronics engineering from Seoul National University, respectively, and the Ph.D. degree in electrical engineering from Polytechnic University, Brooklyn, NY, USA. He is currently a faculty member of KAIST. He was a recipient of the Best Paper Award (Jack Neubauer Award) from the IEEE Transactions on Vehicular Technology in 2000. He is an associate editor of IEEE Sensors Journal. He served as the lead guest editor of several journals. He authored and published more than 140 articles in international journals and conferences. He was a member of an advisory board, program chair, vice-chair, and general chair of international conferences, including the 2019 IEEE international conference on robot intelligence technology and applications. He also presented invited talks and keynotes at international conferences. His main research interests include applications of deep learning techniques for robotics.

Alex completed his Ph.D. in Materials Science & Engineering at Stanford University working with Prof Zhenan Bao on bio-inspired electronic skin. He was subsequently a Postdoctoral Fellow at Harvard University working on 3D printed soft actuators. He recently started a position as an Assistant Professor of Mechanical Engineering at Purdue University. Alex works on materials and fabrication processes for soft actuators and sensors. He has published in journals that include Science, Nature Materials, and Advanced Functional Materials.

Dr. Kim received his Ph.D. degree in electrical and computer engineering from the University of Illinois at Urbana-Champaign, USA, in 2011. Currently, he is an Assistant Professor in the department of electrical engineering and computer science at DGIST, Korea. Prior to join the DGIST, he was an Assistant Professor in the department of electrical & computer engineering at the University of Denver, USA. Also, he was a Postdoctoral Research Associate in the department of electrical and computer engineering, Texas A&M University, USA. His research interest is developing theories, tools, and software frameworks to improve reliability and autonomy of cyber-physical systems and their application to real systems such as smart transportation systems, collaborative robotic systems, etc.

Dr. Mohamed Al-Hussein is a professor in Department of Civil & Environmental Engineering Hole School of Construction Engineering at the University of Alberta. He is also NSERC Industrial Research Chair in the Industrialization of Building Construction and a founding memberof Nasseri School of Building Science and Engineering; he is a highly sought researcher in the areas of Modular and offsite construction, Lean Manufacturing, construction process optimization, and Building Information Modeling (BIM). Dr. Al-Hussein research has been published in over 300 scientific journal articles and conference proceedings.

Dr. Gang Wang is a professor in the School of Automation at the Beijing Institute of Technology, Beijing, China. His research interests focus on the areas of signal processing, control, and reinforcement learning with applications to cyber-physical systems and multi-agent systems. He was the recipient of the Best Paper Award from the Frontiers of Information Technology & Electronic Engineering (FITEE) in 2021, the Excellent Doctoral Dissertation Award from the Chinese Association of Automation in 2019, the Best Conference Paper at the 2019 IEEE Power & Energy Society General Meeting, and the Best Student Paper Award from the 2017 European Signal Processing Conference. He is currently on the editorial boards of Signal Processing, Actuators, and IEEE Transactions on Signal and Information Processing over Networks.

XIAOHUA HUANG is a professor at the School of Computer Engineering at Nanjing Institute of Technology. He received his Ph.D. degree from the Department of Computer Science and Engineering at the University of Oulu, supervised by Prof. Matti Pietikainen (IEEE Fellow, IAPR Fellow). He had been a senior researcher at the Center for Machine Vision and Signal Analysis (CMVS) in the University of Oulu, and Research Associate at the University of Cambridge. He was a visiting post-doc researcher in the Learning and Education Technology Research Unit at The University of Oulu and Human-Centred Technology Research Centre at the University of Canberra in 2015. In 2017, he has been granted Jorma Ollila Grant by Nokia Foundation from competitive rounds for supporting a two-year visit to the University of Cambridge. He has also been a principal investigator at several research projects funded by Nokia Foundation, a Finnish Cultural Foundation, Kaute Foundation and NSFC. He has authored or co-authored more than 50 papers in journals and conferences and has served as a reviewer for journals and member of program committees for conferences/workshops. His research focuses on human behavior understanding (micro-expression analysis, facial expression analysis, gesture analysis, etc), computer vision, image processing and deep learning.

Beihao Xia received the B.E. degree from the College of Computer Science and Electronic Engineering, Hunan University, Changsha, China, in 2015, and the M.Sc. degree from the School of Electronic Information and Communications, Huazhong University of Sciences and Technology, Wuhan, China, in 2018, where he received Ph.D. degree from JD Explore Academy, in 2022. His current research interests include image/video processing, computer vision, and machine learning.

Petr Stadler is the Head of the Department of Vascular Surgery, Na Homolce Hospital in Prague, Czech Republic. He was certified as a console surgeon for the da Vinci surgical system in August 2005 at the University of California, Irvine. He is a member of the Czech Association of Cardiovascular Surgery, the ESVS, the ISMICS, the SRS, and a founding member of the International Endovascular and Laparoscopic Society. He has also received a few prestigious honors from the Czech Association of Cardiovascular Surgery for the best publications in 2004 and 2006, the Letter of Appreciation from Korean Society of Endoscopic and Laparoscopic Surgeons in May 2008, the price of the Czech Society of Angiology for the publication in the year 2007 and the best audiovisual presentation in 2009 in USA (ISMICS) and in 2013 in USA (SCVS). He performed also robot-assisted vascular operations in South Korea, Russia, Poland, and India.

Nawaf Mohammad H Alamri was born in Jeddah, Saudi Arabia in 1992. He received a BSc degree in Industrial Engineering from King Abdulaziz University, Jeddah, Saudi Arabia in 2015. Then, He received an MSc degree in Industrial Engineering from the same institution in 2019. He achieved another MSc degree in Manufacturing Engineering Innovation and Management from Cardiff University, Cardiff, the United Kingdom in 2020 while he is currently pursuing a Ph.D. degree in the final year at the same institution. He is a researcher in the artificial intelligence field interested in developing and improving the performance of convolutional neural network models. He has working experience as he was a Senior Panning Specialist at the supply chain department in an automotive company called Abdul Latif Jameel located in Jeddah, Saudi Arabia from 2015 to 2017. Then, from 2017 to 2018, he was a teaching assistant at King Abdulaziz University, Jeddah, Saudi Arabia.

Waqas Jamil studied Machine Learning at Royal Holloway, prior to that reading Statistics at the University of Kent. He mathematically designed novel regression algorithms and analyzed their predictive complexity under game theoretic framework during his Ph.D. and has published several papers on the matter.

Dr. Hongmei He (FHEA, SIEEE) is an Associate Professor in Cyber Security in the School of Computer Science and Informatics at De Montfort University. She received her PhD in Computer Science from Loughborough University, UK in 2006. Her research could briefly be divided into four themes: AI & Data Science, Cognitive Cybersecurity, Cognitive Robotics & Trustworthy Autonomous Systems, and Computing Theory & Optimisation. She is leading the PETRAS project, “Cognitive and SocioTechnical Cybersecurity for Modern Railway Systems”, in collaboration with UCL. She is a full member of the EPSRC peer review college and a member of the expert panel for the EU H2020 ICT Robotics Programme. Dr He is a senior member of IEEE in Computational Intelligence, Cybersecurity, RAS, and Women in Engineering Societies. She is actively involved with IEEE UK & Ireland RAS Chapter as the chapter secretary and has successfully organised the annual IEEE UK & Ireland RAS conferences as the programme chair since 2017. She is the Chair of the task force of "Artificial Intelligence and Edge Computing for Trustworthy Robots and Autonomous Systems" for the Adaptive Dynamic Programming and Reinforcement Learning Technical Committee, IEEE Computational Intelligence Society. She is also a member of the working group IEEE P1912 Standard for Privacy and Security Framework for Consumer Wireless Devices and IEEE P2834 Standard for Secure and Trusted Learning Systems.

Vinícius M. Oliveira is a lecturer at the Center for Computational Sciences, Federal University of Rio Grande — FURG (Brazil), since 2002 and a Researcher at EMBRAPII Robotic and Computer Science Center (EMBRAPII iTec/FURG). He was the Research Director (2010-2012) and Technological Innovation Director (2013-2016) at FURG. Member of the Brazilian Automatica Society (IFAC affiliated) and IEEE. Vinícius is interested in modeling and control of robotics, automation, and also in the social impact of technological innovation. In particular, he has been working on underactuated robots (brachiation robots) and rehabilitation robotics. Vinícius received his Ph.D. degree in “Electrical Engineering — Robotics and Automation" from UFRGS (2008/Brazil). He received his M.Sc. degree in “Electrical Engineering — Robotics and Control Systems” from UFSC (2001/Brazil). He is a bachelor in Computer Engineering from FURG (1998/Brazil)

Zitong Yu is now a PostDoctoral researcher at ROSE Lab, Nanyang Technological University. He is also a technical consultant on face anti-spoofing at Innov8tif, Malaysia. He received his Ph.D. degree at CMVS, University of Oulu, Finland in 2022. From August to November 2021, he was a visiting scholar at Torr Vision Group, University of Oxford, UK. Before that, he received his M.S. and B.E. degrees from the University of Nantes, France in 2016 and Guangdong University of Technology in 2014, respectively. He has published research works on top-tier avenues such as TPAMI, TIP, CVPR, ICCV, ECCV, IJCAI, AAAI, etc. He won 1st Place in the ChaLearn Multi-Modal Face Anti-spoofing Attack Detection Challenge with CVPR’20 and achieved 2nd Place on the Action Recognition Track of ECCV’20 VIPriors Challenges. His ICCV’19 paper on remote heart rate measurement has been granted IEEE Finland Section Best Student Conference Paper Award 2020.

Dr. Shaneeta Johnson is a Professor of Surgery, Chief of Minimally Invasive, Robotic, and Bariatric Surgery, and Program Director, General Surgery Residency Program at Morehouse School of Medicine, Department of Surgery in Atlanta, Georgia. She is also a Senior Fellow in Global Health Equity at the Satcher Health Leadership Institute and prior inaugural Fellow in the National Medical Association Climate Change and Health Equity Fellowship. She is an experienced surgeon, clinician, educator, researcher, and advocate. Dr. Johnson received her Doctorate of Medicine degree from Loma Linda University School of Medicine, and a Bachelor of Arts from Johns Hopkins University in Neuroscience. She completed her General Surgery residency at Howard University Hospital and Minimally Invasive and Bariatric Surgery Fellowship at the Cleveland Clinic. Dr. Johnson also completed her Executive MBA at Brandeis University with a focus on healthcare. Dr. Johnson is a Fellow of the American College of Surgeons, Fellow of the American Society of Metabolic and Bariatric Surgeons (ASMBS), and Fellow of the International College of Surgeons. She is board certified in General Surgery and a Diplomate of the American Board of Obesity Medicine. Dr. Johnson currently serves within the Society of American Gastrointestinal and Endoscopic Surgeons (SAGES) as a member of the Bariatric and Metabolic Committee, Education Council, as well as the We R SAGES Diversity Committee and Diversity, Professional and Leadership Committees. She currently serves as a member of the National Academy of Medicine Planning Committee for the Action Collaborative on Decarbonizing the US Health Sector. She also serves on the Board of the Georgia Chapter of the American College of Surgeons, Executive Board of the Surgical Section of the National Medical Association, and the Board of Outstanding Atlanta. The American College of Surgeons has appointed Dr. Johnson to serve as the Director of the ACS Mentorship program, member of the Governing Council of the YFA, Liaison Representative to the Board of Governors International Chapter Workgroup, and the Health Policy Advisory Council. She currently serves as the President of the Georgia Chapter of ASMBS. Dr. Johnson’s fields of expertise include health equity, climate change, robotic minimally invasive surgery, and bariatric surgery. She is passionate about the impact of climate change on health equity, especially regarding the effects of health systems on the environment. She is a sought-after speaker whose expertise has afforded her invitations to speak both nationally and internationally, including the Pennsylvania Senate, Georgia House of Representatives, the Congressional Black Caucus, and many international venues including Japan, England, Trinidad, Guyana, and the Bahamas. She has advocated for state access to obesity treatment and also advocated extensively on the disproportionate impact of COVID-19 on disadvantaged communities and the need for equitable access to testing and treatment. Globally, Dr. Johnson collaborated with private and public sector entities to address the impact of Hurricane Dorian in the Bahamas, the need for equitable health care, and addressing the effects of climate change. As a researcher, Dr. Johnson is a published author and presenter in health equity, obesity, robotic surgery, preoperative endoscopy, and bariatric surgery. Her work has been published in major journals, and she is a sought-after speaker on these topics both nationally and internationally. Additionally, Dr. Johnson serves as a member of several journal editorial boards and reviewer, including the American Journal of Surgery, the American Surgeon, Surgical Endoscopy, and several others. She developed and implemented a surgical simulation and testing center and robotic surgery training program at Morehouse School of Medicine and Grady hospital and has also obtained more than $2 million of funding for resident and student training. Dr. Johnson is a recipient of many awards including the 2021 inaugural SAGES Social Justice and Health Equity Award, 2021 induction as an Associate Member of the American College of Surgeons Academy of Master Surgeon Educators, 2020 National Medical Association Emerging Leader Award, 2020 American College of Surgeons Claude Organ Jr. Traveling Fellowship, 2020 Top Women in Medicine honoree, 2019 BizWomen Outstanding Women Leaders in Healthcare, Excellence in Healthcare Award, 2018 Atlanta 40 under 40 award as well as many teaching awards.

Amir Honaryar is a Research Fellow at Queen’s University Belfast with a research focus on Floating Solar Systems. He is working with the Centre for Advanced Sustainable Energy (CASE) and Marine Research Group at School of Natural and Built Environment in the Hydraulics Laboratory on a project entitled “Floating Solar Energy – a contributor to decarbonisation”. He has academic and industrial backgrounds in Marine robots design including Autonomous Surface and Underwater Vehicles (ASV and AUV). He has published his latest research on marine robots in high prestigious journals of the International Journal of Mechanical Sciences, Ocean Engineering, and Journal of Bionic Engineering. He is ranked first, third and first for GPA in Ph.D., MSc and BSc degrees, respectively.

Ingrid Y. Lin, is an Associate Professor of the School of Travel Industry Management, Shidler College of Business at the University of Hawai‘i at Mānoa. Her area of expertise includes services/hospitality marketing and consumer behavior. She teaches hospitality- and marketingrelated courses at both the graduate and undergraduate level. Her research work and interests include customer value perception of service robots in the hotel industry, health and well-being, regenerative leadership and practices, servicescape aesthetics, experiences came to design, consumer experience (emotions, perception, evaluation, and behaviors), cross-cultural studies, intercultural service encounter. Her publications can be found in several scholarly business, hospitality, and tourism journals. Dr. Lin received her Ph.D. in the hotel, restaurant, and institutional management from Pennsylvania State University; Master of Science in hospitality industry studies from New York University; and Bachelor of Science in hospitality administration from Boston University.

Jiehao Li received the M.Sc. degree in Control Engineering at South China University of Technology, Guangzhou, China, in 2017. He received the Ph.D. degree at the State Key Laboratory of Intelligent Control and Decision of Complex Systems, School of Automation, Beijing Institute of Technology, Beijing, China, in 2022. His interests mainly include mobile robotics, wheel-legged robot, motion control, autonomous navigation. Dr. Li has been awarded the Best Conference Paper Finalist of IEEE International Conference on Advanced Robotics & Mechatronics in 2020, and the Outstanding Reviewer of China Automation Congress in 2021. He is the Session Chair of Youth Academic Annual Conference of Chinese Association of Automation in 2022. He has served as the Academic Editor of Journal of Control Science and Engineering, and also as a reviewer for some journals such as IEEE/ASME Transactions on Mechatronics, IEEE Transaction on Cybernetics, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Fuzzy Systems, IEEE Transactions on Industrial Electronics, IEEE Transactions on Sys­tems, Man, and Cybernetics: Systems, IEEE Transactions on Automation Science and Engineering, IEEE Robotics and Automation Letters, and so on.

Yanjun Zhang is currently an Associate Professor at the School of Automation, Beijing Institute of Technology. He received a Ph.D. degree in control theory and control engineering from NanjingUniversity of Aeronautics and Astronautics, China, in 2017. From Jun. 2019 to Jun. 2021, he was a postdoc at the Academy of Mathematics and Systems Science, Chinese Academy of Sciences, China. His research interests include adaptive control, quantized control, multi-agent system control, and their applications to aircraft control systems.

Wei Li received the B.Eng. degree in automation and the M.Eng. degree in control science and engineering from the Harbin Institute of Technology, China, in 2009 and 2011, respectively, and the Ph.D. degree from the University of Sheffield, U.K., in 2016. After being a research associate at the University of York, UK, he is currently an assistant professor at the Academy for Engineering and Technology, Fudan University, China. He has published more than 30 academic articles in peer-reviewed journals and conferences, such as the IEEE Transactions on Robotics and NeurIPS. His research interests include robotics and computational intelligence, especially self-organized systems, and evolutionary machine learning.

Dr. Apostolova is an Associate Professor of Philosophy at Dominican University College. Her doctoral dissertation was on Bertrand Russell’s theory of knowledge under the supervision of Dr. Paul Forster at University of Ottawa. Her areas of competence are Analytic Philosophy, especially Early Analytic Philosophy, Philosophy of Memory, Philosophy of Mind, Feminist Thought, and Ethics of Care. Her research profile includes publications in Russell: The Journal of Bertrand Russell Studies, Feminist Philosophy Quarterly, De Gruyter’sMetaphysica, and Bioethics. She has co-edited three volumes and has contributed to a number of chapter books, most recently a highly anticipated Oxford University Press volume on Feminist Philosophy of Mind. Her most recent work is focused on memory, the history of analytic philosophy, and epistemology. Dr. Apostolovahas always enjoyed collaborative work with both colleagues and students alike, resulting in a number of co-authored publications.

Mario Hirz has been awarded an M.S. degree in mechanical engineering and economics, a Ph.D. in mechanical engineering, and a venia docendi in the area of virtual product development. He is an Associate Professor at the Graz University of Technology and a frequent guest lecturer at universities and in the automotive industry throughout Europe, North America, and Asia. Prof. Hirz is Vice-Head of the Institute of Automotive Engineering at Graz University of Technology and Head of the research area for Automotive Mechatronics. In his position, he is responsible for different international R&D projects in the fields of vehicle layout and conception, alternative powertrains, sustainable transportation, mechatronics systems and computational development. Prof. Hirz is member of scientific associations, reviewer of journal and conference publications and co-organizer of conferences. He has published more than 100 works and has received several national and international awards.

He Chen received the B.S.degree in automation and the Ph.D. degree in control science and engineering from NankaiUniversity, Tianjin, China, in 2013 and 2018, respectively. He is currently an Associate Professor with the School of Artificial Intelligence, Hebei University of Technology, Tianjin, China. His research interests include control of underactuated systems (e.g., cranes) and motion planning of wheeled mobile robots.Dr. Chen is the recipient of the Outstanding Paper Award for the IEEE Transactions on Industrial Electronics in 2021. He serves as Academic Editor for Mathematical Problems in Engineering and a guest editor for the topic Control and Stability for Robotic Crane Systems of frontiers Robotics and AI. He also serves as an Organizing Co-Chair for 2022 7th Asia-Pacific Conference on Intelligent Robot Systems (ACIRS 2022), a Regional Program Chair for the 2022 IEEE International Conference on Real-time Computing and Robotics (IEEE RCAR 2022), and PC/TC members for several EI-indexed international conferences.

Tawei (David) Wang is currently an Associate Professor and Driehaus Fellow at DePaul University. He received his Ph.D. from Krannert Graduate School of Management, Purdue University in 2009. His research interests are information security management and IT management. His papers have appeared in leading business journals, including Accounting Horizons, Decision Support Systems, European Journal of Information Systems, Information, and Management, Information Systems Journal, Information Systems Research, International Journal of Accounting Information Systems, Journal of Accounting and Public Policy, Journal of Banking and Finance, Journal of Information Systems, among others. He has actively engaged with the professional community. He was a speaker for the Institute of Internal Auditors, the Institute of Management Accountants, ISACA, and a panelist for the Federal Reserve Bank Charlotte. In 2018, he was selected to be the KPMG James Marwick Professor in Residence

Renjie Ma was born in Harbin, China, in 1994. He received the B. Eng Degree in Automation from Hefei University of Technology, Hefei, China, in 2017. Since then, he is working towards the PhD Degree in Control Science and Engineering at Harbin Institute of Technology, Harbin, China. His research interests include CPS security/reliability/repairability, optimal/robust control and filtering, machine learning-based control, and safety-critical autonomous systems. He was the awardee of National Scholarship for Postgradudate endowed by the Ministry of Education of China in 2020.

Francesco Scotto Di Luzio is a Postdoctoral Researcher at the Research Unit of Advanced Robotics and Human-Centred Technologies, Università Campus Bio-Medico di Roma, Italy. He is an Engineer with a focus on robotics, automation, and machine learning. During the Ph.D. period, he gained experience in the field of robot controls, human-robot interaction, and the design and development of control schemes in mechatronic devices for rehabilitation robotics.

Dr. Nina Mahmoudian is an associate professor of Mechanical Engineering at Purdue University. Previously, she was the Lou and Herbert Wacker Associate Professor in Autonomous Mobile Systems with the Department of Mechanical Engineering at Michigan Tech. Her research interests include robotics, energy autonomy, system design, dynamics and controls. She received her Ph.D. in Aerospace Engineering from Virginia Tech. Dr. Mahmoudian is a recipient of the 2015 NSF-CAREER and 2015 ONR-YIP awards. She serves as the editor of the International Conference on Robotics and Automation (ICRA) and associate editor of IEEE Robotics and Automation Letters.

Alexander Kreis has been awarded a master's degree in mechanical engineering and business economics and a Ph.D. in mechanical engineering in the field of virtual product development. He is a Post-Doc at Graz University of Technology and a frequent guest lecturer at universities and in the automotive industry in Europe, North America and Asia. Dr. Kreis is head of the Virtual Product Development Research Group and head of the Position Sensor Test Bench at the Institute of Automotive Engineering, Graz University of Technology. In his position, he is responsible for various international R&D and funding projects in the areas of automation, virtual reality, artificial intelligence, and automotive sensor and actuator systems, and also lectures in these areas at Graz University of Technology. Dr. Kreis is a reviewer for journal and conference publications and evaluator for various funding programs of Austria and the European Union.

Nenad Petrović was born in Pirot, Serbia, in 1992. He is a teaching assistant at Faculty of Electronic Engineering, University of Niš, Serbia. He received his bachelor's degree in the area of Electrical Engineering and Computer Science at the same faculty, while is master degree in Computer Science and Engineering comes from Politecnico di Milano, Milan, Italy. Moreover, he has been occasionally working as ICT analyst/consultant in TELCO, e-commerce, automotive and machine learning area. Nenad is author of more than 100 research publications (conference papers, journal articles and book chapters) with both national and international recognition and holder of 3 IcETRAN Conference Best Young Paper Awards (1 in 2018 and 2 in 2019). His main research interests cover semantic technology, IoT and deep learning.

Vassilis G. Kaburlasos has received the Diploma degree from the National Technical University of Athens, Greece, in 1986, and the M.Sc. and Ph.D. degrees from the University of Nevada, Reno, NV, USA, in 1989 and 1992, respectively, all in electrical engineering. He currently serves as a Tenured Full Professor in the Department of Computer Science at the International Hellenic University (IHU), Greece; since 2019 he has also served as an elected member of IHU’s Research Committee. He is the founder and director since 2016 of the HUman-MAchines INteraction (HUMAIN) research Lab at IHU having accessed projects of a total budget of over 5M EUR. He has been a participant or (principal) investigator in 32 research projects, funded either publicly or privately, in the USA and in the European Union. He has been a member of the technical/advisory committee or an invited speaker in numerous international conferences and a reviewer of more than 40 indexed (WoS) journals. He has (co)authored more than 200 scientific research articles in indexed journals, refereed conferences, edited volumes and books. His research interests include cyber-physical system modeling applications with breakthrough contributions in the “Lattice Computing (LC) information processing paradigm”. Dr. Kaburlasos is a member of several professional, scientific, and honor societies around the world including the Sigma Xi, Phi Kappa Phi, Tau Beta Pi, Eta Kappa Nu, and the Technical Chamber of Greece. He is a member of the IEEE CTSoc Technical Stream Committee in HMI. Since 2019, his name is included in the top 2% of researchers worldwide in the field “Artificial Intelligence & Image Processing” according to Mendeley Data.

Dr. Mahbuba Afrin is working as a Vice-Chancellor’s Postdoctoral Research Fellow for Women in STEMM at the University of Southern Queensland, Australia. She received her Ph.D. degree from the Swinburne University of Technology, Melbourne, Australia, in Oct 2021. She was awarded the Data61 PhD Scholarship from the Commonwealth Scientific and Industrial Research Organization (CSIRO) during her PhD. She has also been commended as the HDR Woman Researcher of the Year 2020. Prior to that, she received the B.Sc. and M.Sc. degrees in Computer Science and Engineering from the University of Dhaka, Bangladesh, in 2015 and 2017, respectively. Before starting the PhD program, she worked as a Lecturer in the Department of Computer Science and Engineering, United International University, Bangladesh, from 2015 to 2017. She worked as a Research Assistant with the Green Networking Research Group, the University of Dhaka, from 2013 to 2015. Her research interests include multi-agent cloud robotics, edge intelligence, cloud computing, and Internet of Things-enabled cyber-physical systems.

Giuseppe Palestra is a senior researcher at HERO srl an AI company based in Italy. He was a research associate at the Institute for Intelligent Systems and Robotics (CNRS UMR 7222), Sorbonne Université, Paris, France. He received the PhD degree in Computer Science in 2017 from the University of Bari and his research focuses on Artificial Intelligence, Social Robotics, and Computer Vision. He worked on various e-health projects in Europe. They were concerned with technologies to improve people’s lives, including the SARACEN project (Socially Assistive Robots for Autistic Children Education), of which he was the principal investigator. Since then, he has been working on social robotics, robots that are useful to people, and AI.

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

Dr. Mudassir Khan is currently working as an Assistant Professor and former Head of the Department of Computer Science at College of Science & Arts Tanumah, King Khalid University Abha, Saudi Arabia. He has completed Ph.D. in Computer Science from Noida International University (NIU), India. He has completed his Graduationfrom Aligarh Muslim University and master’sfrom Gautam Budh Technical University, India. He has more than 10 years of Teaching Experience at the King Khalid University of Saudi Arabia. He has published more than 25 papersin International Journals (SCIE, ESCI, Scopus, UGC Care), conferences IEEE and Springer Nature) and 1 patent. He is the Member of various technical/ professional societies such as IEEE, UACEE, Internet Society, IAENG and CSTA. His research interest includes Big data, IoT, Deep Learning, Machine Learning, eLearning, Fuzzy Logic, Image Processing, Cyber Security and Cloud Computing.

Ranjeet Kumar Rout is currently serving as Assistant Professor in the Department of Computer Science and Engineering, National Institute of Technology Srinagar, Hazratbal, India. He received his Ph.D. degree from the Department of Information Technology of the Indian Institute of Engineering Science and Technology Shibpur, West Bengal, India in the year 2018. Prior to working at NIT Srinagar, Dr. Ranjeet had some useful research and teaching experience from National Institute Technology Jalandhar, Punjab. Dr. Ranjeet has also worked at Indian Statistical Institute, Kolkata where he worked on a project named “Understanding Genes and Genomes through Fractal and Mathematical Morphology”. The intent of this project was to provide valuable information about genomics and proteomics. Dr. Ranjeet's research interests include machine learning, deep learning, affective computing, and computational biology. Dr. Ranjeet has published several papers in peer-reviewed international and scientific journals in the field of non-linear Boolean functions and computational biology and affective computing. Currently, Dr. Ranjeet is completing two upcoming books “Artificial Intelligence Technologies for Computational Biology” and another book entitled “Advancement of Deep Learning and its Applications in Object Detection and Recognition” which are due to be published in the current year. He is a Member of IEEE, ISTE, CSI, and as a reviewer of different peer-reviewed journals and international conferences.

Irdayanti Binti Mat Nashir specializes in Technical and Vocational Education and Training (TVET) and also in Electrical and Electronic Engineering. She is active in sharing knowledge and skills on Delphi Techniques, Electronics and Technology in education in schools and higher institutions. She is also active in robotic learning research for future education in the Malaysian system.

Prof/Dr. Aziz Abouabdillah holds a Ph.D. in hydrologic modeling, a Master of Science in irrigation, and an agriculture engineering diploma. He worked at the Water Research Institute (IRSA_CNR) in Italy for 4 years where he was involved in different European projects dealing with water management at the watershed scale, hydrologic modeling, and climate change (Aquastress project, FP6) MIRAGE and Cilmatewater projects (FP7). He spent more than 2 years as a postdoctoral research associate at the Texas AgrilifeBlackland Research Center in Texas, the USA where he gained experience in hydrologic modeling and water management. Actually, he is covering a position of professor and researcher at the National School of Agriculture of Meknès, Morocco within the Department of Agronomy. He is in charge to teach five lectures (Irrigation scheduling, Irrigation Network design, Water resources Management, Climate change, and horticulture production. He is a team leader of many projects dealing with Smart and precise Agriculture and digitalization in agriculture. He is a part of a research team SPEC-trumat ENA. He developed with his team a new smartphone application for precise irrigation (IRRI-smart) available for free on the play store.

Farah JEMILIhad the Engineer degree in Computer Science in 2002 and the Ph.D. degree in 2010. She is currently Assistant Professor at Higher Institute of Computer Science and Telecom of Hammam Sousse (ISITCOM), University of Sousse, Tunisia. She is a Senior Researcher at MARS Laboratory(ISITCOM –Tunisia). Her research interests include Artificial Intelligence, Cyber Security, Big Data Analysis, Cloud Computing, and Distributed Systems. She served as a reviewer for many international conferences and journals. She has many publications; 6book chapters, 6 journal publications, and more than 20 conference papers.