Raffaele Carli received the Laurea degree in Electronic Engineering with honours in 2002 and the Ph.D. in Electrical and Information Engineering in 2016, both from Politecnico di Bari, Italy. From 2003 to 2004, he was a Reserve Officer with Italian Navy. From 2004 to 2012, he worked as System and Control Engineer and Technical Manager for a space and defense multinational company. Dr. Carli is currently a Senior Assistant Professor in Automatic Control at Politecnico di Bari, and is qualified for access to a position of associate professor in the Control Engineering field since 2021. He is the technical responsible for the Decision and Control Laboratory (coordinated by prof. Mariagrazia Dotoli) at the Department of Electric and Information Engineering (DEI) of the Polytechnic of Bari (http://dclab.poliba.it/). He is an author of over 80 printed international publications. His area of expertise is the development of decision and control techniques for the modelling, optimization, management, and control of complex and large-scale systems. His research interests include the formalization, simulation, and implementation of decentralized, distributed, and hierarchical optimization and control algorithms, to be applied on distributed systems (cooperative and noncooperative), multi-agent systems, and networked systems in smart frameworks such as for example the industry and energy fields. He was the Young Career Chair of the 2017 IEEE Conference on Automation Science and Engineering, the Pubblication Co-chair of the 2020 IEEE Conference on Automation Science and Engineering, and the General Co-chair of 7th International Conference on Renewable Energy and Conservation (ICREC 2022). He is the Finance Chair and Special Session Chair of 2024 IEEE International Conference on Automation Science and Engineering (August 26-30, Bari - Italy). He is an Associate Editor of the IEEE TRANS. ON AUTOMATION SCIENCE AND ENGINEERING and the IEEE TRANS. ON SYSTEMS, MAN, AND CYBERNETICS. He is a member of the conference editorial board for the IEEE Robotics and Automation Society (RAS) and IEEE Systems, Man, and Cybernetics Society (SMC), a member of the international program committee of over 30 international conferences, and a guest editor for special issues on international journals.

Nicola Santoro is Distinguished Research Professor of Computer Science at Carleton University. He received the Lurea degree from the University of Pisa (summa cum laude) and the PhD from the University of Waterloo. After appointments at the University of Pisa and the University of Ottawa, he joined the School of Computer Science at Carleton University, where he is still now. During this time he has also been Professore Straordinario at the University of Bari, and held short visiting research appointments at several universities and institutes (including Lawrence Berkeley Labs, U. AixMarseille, Macquarie U., ETH-Zurich, ISI-Kolkata, U. of Pisa, Kyushu U.). Involved in distributed computing from the very beginning of the field, his research has focused on the algorithmic aspects, contributing seminal works, especially on the impact of structural knowledge on computability. He has pioneered the research on distributed computing by “mobile computational entities” (robots, agents, drones, sensors), focusing in particular on the computational and algorithmic issues arising in systems of autonomous mobile robots. His team has been one of the first to investigate temporal dynamics in distributed environments (e.g., arising in ad-hoc wireless networks, social networks, etc). In these fields, he has authored more than 350 papers with more than 140 co-authors. He is the author of the book “Design and Analysis of Distributed Algorithms” (Wiley 2007), co-author of the books “Distributed Computing by Oblivious Mobile Robots” (Morgan & Claypool 2012) and “Distributed Computing by Mobile Entities” (Springer 2019), and co-editor of other 14 books. He started the main theoretical conferences in distributed computing: ACM Conf. on Principles of Distributed Computing (1982), the EATCS Symposium on Distributed Computing (1985), and SIROCCO (1994), as well as the algorithmic conferences WADS (1989) and FUN (1998). He has been a committee member of over 90 international conferences, several of them as Chair. For his pioneering contributions, he has been awarded in 2010 the “Prize for Innovation in Distributed Computing”, the first recipient. His current research interests are on the computational power of distributed environments arising at the micro- and nano-level (e.g., programmable particles, population protocols, and nano-robotic swarms).

Professor Mateo Valero, born in 1952 (Alfamén, Zaragoza), obtained his Telecommunication Engineering Degree from the Technical University of Madrid (UPM) in 1974 and his Ph.D. in Telecommunications from the Technical University of Catalonia (UPC) in 1980. He has been teaching at UPC since 1974; since 1983 he has been a full professor at the Computer Architecture Department. He has also been a visiting professor at ENSIMAG, Grenoble (France) and at the University of California, Los Angeles (UCLA). He has been Chair of the Computer Architecture Department (1983-84; 1986-87; 1989-90 and 2001-2005) and the Dean of the Computer Engineering School (1984-85). His research is in the area of computer architecture, with special emphasis on high performance computers: processor organization, memory hierarchy, systolic array processors, interconnection networks, numerical algorithms, compilers and performance evaluation. Professor Valero has co-authored over 700 publications: over 500 in Conferences and the rest in Journals and book chapters. He was involved in the organization of more than 300 International Conferences as General Chair (11), including ICS95, ISCA98, ICS99 and PACT01, Steering Committee member (85), Program Chair (26) including ISCA06, Micro05, ICS07 and PACT04, Program Committee member (200), Invited Speaker (70), and Session Chair (61). He has given over 400 talks in conferences, universities and companies. He has been an associate editor of IEEE Transactions on Parallel and Distributed Systems, the IEEE Micro Journal and IEEE Computer Architecture Letters, the Journal of Parallel Programming Languages, as well as guest editing several special issues of the IEEE Transactions on Computers and Computer Magazine.

Ching-Chih Tsai is currently a life distinguished Professor at the Department of Electrical Engineering, National Chung Hsing University (NCHU), Taichung, Taiwan, where he served the 2012-2014 department chairman. He received his Ph.D degree in Electrical Engineering from Northwestern University, Evanston, IL, USA, 1991. He has been elevated to Fellow of IEEE, IET, CACS, RST and TFSA. Dr. Tsai has published more than 600 refereed journal and conference papers, and seven patents in the fields of intelligent control and robotics, where he received many prestigious awards and honors from IEEE and numerous professional societies, and many best conference paper awards technically supported by IEEE. He served as the two-term President of Chinese Automatic Control Society (CACS) from 2012-2015 and two-term President of Robotics Society of Taiwan (RST) from 2016 to 2019, and the Vice Dean and Dean of R&D Office, NCHU, from 2019 to 2021. In recent years, he has served associate editors of IEEE Transactions on Systems, Man Cybernetics: Systems, IEEE Transactions on Industrial Informatics, IEEE Transactions on Industrial Cyber-Physical Systems and International Journal of Fuzzy Systems. Moreover, he has served as the President of International Fuzzy Systems Association (IFSA) since September 2021, a BoG member and the associate VP for conferences and meetings of IEEE Systems, Man Cybernetics Society (SMCS), the chair of Distinguished Lecture Program of IEEE SMCS in 2022. From 2018 to 2019, he served as the Editor in Chief of a new international robotics journal called “International Journal of iRobotics”. His current interests include advanced nonlinear control methods, deep model predictive control, fuzzy control, neural-network control, deep learning, broad learning and reinforcement learning, and intelligent learning control methods with their applications to advanced mobile robotics, intelligent service robotics, intelligent mechatronics, intelligent automation, smart machinery, smart agriculture and smart semiconductor packaging.

Dr. Minglun Gong is a Professor and Director at the School of Computer Science, University of Guelph. Before he moved to Guelph in 2019, he was a Professor and Head at the Department of Computer Science, Memorial University of Newfoundland. He obtained his Ph.D. from the University of Alberta in 2003, his M.Sc. from the Tsinghua University in 1997, and his B.Engr. from the Harbin Engineering University in 1994. Minglun’s research interests cover various topics in the broad area of visual computing (including computer graphics, computer vision, visualization, image processing, and pattern recognition). So far, he has published 150+ referred technical papers in journals and conference proceedings, including 20+ articles in ACM/IEEE transactions. He is the inventor of an awarded patent and 6 pending patents. Currently an associate editor for Pattern Recognition and IEEE Signal Processing Letters, he has also served as program committee member for top-tier conferences and reviewer for prestigious journals. He was the recipient of the Izaak Walton Killam Memorial Award and best paper awards at the 2015 Canadian Conference on Artificial Intelligence, the 2016 International Symposium on Visual Computing, and the 2019 Conference on Computer and Robot Vision.

Xinde Li earned his Ph.D. in Control Theory and Control Engineering, from 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.

Professor Yongsheng Gao is the Director of the Australian Research Council (ARC) Research Hub for Driving Farming Productivity and Disease Prevention, and the Director of the Institute for Integrated and Intelligent Systems at Griffith University, Australia. He was a member of College of Experts, Australian Research Council. As a Chief Investigator, he has been working on projects in Australia, Singapore, Germany, and China in the areas of smart farming, environmental informatics, biosecurity, face recognition, biometrics, image retrieval, computer vision, pattern recognition, and medical imaging. He was also employed as a consultant by Panasonic Singapore Laboratories Pte Ltd working on the face recognition standard in MPEG-7. His research are reported in the media in Australia and Singapore, including The Australian, The Courier Mail, The Sydney Morning Herald, and The Straits Times (Singapore).

João Manuel R. S. Tavares graduated in Mechanical Engineering atthe Universidade do Porto, Portugal in 1992. He also earnedhis M.Sc. degree and Ph.D. degree in Electrical and Computer Engineering fromthe Universidade do Porto in 1995 and 2001, and attained his Habilitation in Mechanical Engineering in 2015. He is a senior researcher at the Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial (INEGI) and Full Professor at the Department of Mechanical Engineering (DEMec) of the Faculdade de Engenharia daUniversidade do Porto (FEUP). João Tavares is co-editor of more than 75 books, co-author of more than 50 book chapters, 650 articles in international and national journals and conferences, and 3 international and 3 national patents. He has been a committee member of several international and national journals and conferences, is co-founder and co-editor of the book series “Lecture Notes in Computational Vision and Biomechanics” published by Springer, and founder and Editor-in-Chief of the journal “Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization” published by Taylor & Francis, Editor-in-Chief of the journal “Computer Methods in Biomechanics and Biomedical Engineering” published by Taylor & Francis, and co-founder and co-chair of the international conference series: Comp IMAGE, ECCOMAS Vip IMAGE, ICCEBS, and Bio Dental. Additionally, he has been (co-)supervisor of several MSc and Ph.D. thesis and supervisor of several post-doc projects and has participated in many scientific projects both as a researcher and as a scientific coordinator. His main research areas include computational vision, medical imaging, computational mechanics, scientific visualization, human-computer interaction, and new product development.

Dr. Mariofanna Milanova is a professor in the Department of Computer Science at UA Little Rock and has been a faculty member since 2001. She received an M.Sc. in Expert Systems and Artificial Intelligence and Ph.D. in Engineering and Computer Science from the Technical University, Sofia, Bulgaria. Dr. Milanova conducted post-doctoral research in visual perception at the University of Paderborn, Germany. Dr. Milanova has extensive academic experience at various academic and research organizations worldwide. Dr. Milanova is an IEEE Senior Member, Fulbright U.S. Scholar, and NVIDIA Deep Learning Institute University Ambassador. Dr. Milanova’s work is supported by NSF, NIH, DARPA, DoD, Homeland Security, NATO, Nokia Bell Lab, NJ, USA, and NOKIA, Finland. She has published more than 120 publications, over 53 journal papers, 35 book chapters, and numerous conference papers. She also has two patents.

Prof. Dr.-Ing. Habil. Natasa Zivic is professor for information and coding theory and real-time image processing at University of applied sciences in Leipzig, Germany. She is a researcher in area of robust real-time image and message communications with application in artificial intelligence, as well as security expert in a car industry. She graduated from the Faculty of Electrical Engineering at the Department of Electronics, Telecommunications and Automatics, University of Belgrade in 1999 and defended her Magister Thesis in 2002. She defended her doctoral thesis at University of Siegen in 2007, as well as her postdoctoral thesis (habilitation) in 2013. Prof. Zivic takes part at international conferences and journals and works as a paper reviewer and editor of scientific journals. She is an author of 9 books, more than 100 conference and journal papers and 3 (2 German and 1 USA) patents.

Professor Simeon Simoff is currently the Dean of the School of Computing, Engineering and Mathematics at the Western Sydney University. Simeon was previously a Professor of Information Technology at the University of Technology, Sydney. Prior to UTS he held academic positions at the University of Sydney, the Middle East Technical University, Ecole Polytechnique - University of Nantes and Istanbul Technical University. In 2006 he was a BIT Professor at the Free University of Bolzano-Bozen and the University of Trento. He is a founding Director and a Fellow of the Institute of Analytics Professionals of Australia. Currently he is an editor of the ACS Conferences in Research and Practice in Information Technology (CRPIT) series in Computer Science and ICT. Prior to that he was the associate editor (Australia) of the American Society of Civil Engineering (ASCE) Journal of Computing in Civil Engineering. Currently he serves on the ASCE Technical Committees on Data and Information Management, and on Intelligent Computing.

Bernhard Irrgang, born 1953, professor for the philosophy of technology at the TU Dresden. Main areas of work: history of philosophy in the 17th, 18th and 20th centuries; Cultural theory of technology, boundary issues of biology/philosophy and applied and hermeneutic ethics, especially technology ethics; Ecological ethics, (bio)medical ethics, intercultural environmental ethics.

Michael Short is a professor of control engineering and systems informatics at Teesside University in the UK and leads the multidisciplinary Centre for Sustainable Engineering. He holds a BEng degree in electronic and electrical engineering (1999, Sunderland) and a Ph.D. degree in real-time robot control (2003, Sunderland). Michael’s research interests encompass aspects of applied control engineering and systems informatics applied to smart energy systems and robotics. He has authored over 160 reviewed publications in international conferences and journals, has received over 1400 citations, and has won six best paper awards. He currently has an h-index of 22 and an i-10 index of 40. He has supervised six Ph.D. completions and is the investigator on numerous completed and ongoing funded research projects. He is an associate editor for the International Journal of Energies, a full member of the IET, and a fellow of the HEA.

Sanchia Goonewardene qualified from Birmingham Medical School with Honours in Clinical Science and a BMedSc Degree in Medical Genetics and Molecular Medicine. She has a specific interest in academia during her spare time, with over 845 publications to her name with 2 papers as the number 1 most cited in fields (Biomedical Library), and has significantly contributed to the Urological Academic World- she has since added a section to the European Association of Urology Congress on Prostate Cancer Survivorship and Supportive Care and is an associate member of an EAU guidelines panel on Chronic Pelvic Pain. She has been the UK lead in an EAU led study on Salvage Prostatectomy. Her background in research entails an MPhil, the work from which went on to be drawn up as a document for PCUK and then, NICE endorsed. She gained funding from the Wellcome Trust for her Research Elective. She is also an alumnus of the Urology Foundation, which sponsored a trip to USANZ trainee week. She also has 10 books published- Core Surgical Procedures for Urology Trainees (Ranked 3rd in Book Authorities’ 100 Greatest Urology Books of All Time), Prostate Cancer Survivorship, Basic Urological Management, Management of Non-Muscle Invasive Bladder Cancer, Salvage Therapy in Prostate Cancer and Muscle Invasive Bladder Cancer. Her fourth book, Non-Muscle Invasive Bladder Cancer, has 36,000 downloads. Her other books include Prostate Cancer Survivorship, Basic Urological Management, Salvage Therapy in Prostate Cancer, Muscle Invasive Bladder Cancer, Surgical Strategies in Endourology, Men's Health and Wellbeing (Trends in Mens Health), Localised Disease and Diagnostics in Prostate Cancer and Management of Locally advanced disease and Metastatic disease in Prostate Cancer. Her 11th book is on Robotic Surgery for Renal cancer, and her 12th book is on When Things go wrong in Urology. She is Series Editor, for Management in Urology. She has supervised her 1st thesis with Kings College London and Guys Hospital, (BMedSci Degree gained 1st class, students’ thesis score 95%). Recently she has gained her first Associate Editor position with the Journal of Robotic Surgery and is responsible as Urology Section Editor. She is an Editorial board member of the World Journal of Urology and was invited to be Guest Editor for a Special Issue on Salvage Therapy in Prostate Cancer. She is also a review board member for BMJ case reports. Additionally, she is on The International Continence Society Panel on Pelvic Floor Dysfunction, Good Urodynamic Practice Panel is an ICS abstract reviewer and has been an EPoster Chair at ICS. She has reviewed Abstracts for both EAU and EMUC. More recently she has been an ICS Ambassador and an ICS Mentor, she is part of the Pelvic Floor Dysfunction Panel and Good Urodynamic Practice Panel. She has also chaired semi-live surgery at YAU-ERUS and presented her work as part of the Young Academic Urology Section at ERUS and is conducting a Global study on New Robotic Platforms. She is also setting up a Consensus group on Biomarkers and has a wide range of students to look after including a Ph.D. Candidate with Rotaract, two MSc students. For her work with Rotary, she is an IEP Ambassador, Vice Chair for the Intercountry Collaboration between RIGB&I and Greece, and Peace envoy. She is President of the Rotary Club of Hampstead. She also has a Ph.D. student, who she is mentoring via Rotaract, Cancer Research UK, University of London. She has also been an EAU abstract reviewer and has presented as part of the EAU faculty. Her work also entailed being part of EAU Guidelines on Chronic Pelvic Pain.

Professor Eduard Babulak is a global scholar, educator, consultant and professional engineer with thirty years of experience. He served as Chair of the IEEE Vancouver Ethics, Professional and Conference Committee. He was Invited Speaker at the University of Cambridge, MIT, Purdue, Yokohama National University and University of Electro Communications in Tokyo, Japan, Shanghai Jiao Tong University, Sungkyunkwan University in Korea, Purdue, Penn State in USA, Czech Technical University in Prague, University at West Indies, Graz University of Technology, Austria, and other prestigious academic institutions worldwide. His academic and engineering work was recognized internationally by the Engineering Council in UK, the European Federation of Engineers and credited by the Ontario Society of Professional Engineers and APEG in British Columbia in Canada. He was awarded higher postdoctoral degree DOCENT - Doctor of Science (D.Sc.) in the Czech Republic, Ph.D., M.Sc., and High National Certificate (HNC) diplomas in the United Kingdom, as well as, the M.Sc., and B.Sc. diplomas in Electrical Engineering Slovakia. He served as the Editor-in-Chief, Associate Editor-in-Chief, Co-Editor, and Guest-Editor. He communicates in 16 foreign languages and his biography was cited in the Cambridge Blue Book, Cambridge Index of Biographies, Stanford Who’s Who, and number of issues of Who’s Who in the World and America. He is:  Fellow of the Royal Society RSA, London, UK;  Life Chartered Professional IT Fellow, Mentor and Elite Group Member of British Computer Society, London, UK  Invited Panel Member for National Science Foundation Graduate Research Fellowship Program, USA  Expert Consultant for EU HORIZON2020 & CORDIS FP6 - FP7 European Commission, Brussels, Belgium  Founding Member of Future AI Lab, Germany  Mentor and Senior Member of the IEEE and ACM, USA  Nominated Fellow of the Institution of Engineering and Technology, London, UK and Distinguished Member of the ACM, USA  Chartered Member of the IET, London, UK  Professional Member of American Society for Engineering Education, American Mathematical Association, and Mathematical Society of America, USA EDUCATION: o D.Sc., University of Pardubice (Czech Republic), 2008 o Ph.D., Staffordshire University (United Kingdom), 2003 o M.Sc., University of East London, (United Kingdom), 1991 o High National Certificate, Brighton College of Technology (United Kingdom), 1990 o M.Sc., Technical University of Kosice (Slovakia), 1982 o High National Diploma, Electro-technical College (Slovakia), 1976

Dr. Ting Yuan is a Sensor Fusion scientist for autonomous systems. He holds a professorship at SEIEE of the Shanghai Jiao Tong University. He had been a Senior Research Scientist at the Mercedes-Benz Research & Development North America, Inc., Sunnyvale, CA and Principal Tech Lead for Autonomous Driving on China situations within the Autonomous Driving Department. He graduated from ECE department of the University of Connecticut, Storrs, USA. His field of endeavor lies in detection, classification, and tracking of moving/static objects using information from the camera, Radar, and Lidar systems, as well as data fusion for the multi-sensor systems. He holds a Professorshio (associate research line) at the Shanghai Jiao Tong University.He has more than 15 years research/working experience in Object Tracking, Sensor Fusion and Localization for aerospace and automotive applications. He has 40+ publications and 10+ approved/pending patents. Dr. Ting Yuan is a senior member of IEEE and an editorial board member of ISIF. He served as tutorial lecturer on autonomous driving systems at Fusion Conference 2015-2022.

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

Fatemeh Davoodi is an associate scientist at Kiel University, Germany with an interest in artificial intelligence applications for solving problems in ambiguous and uncertain environments. She did her bachelor, master, and Ph.D. in Electrical Engineering at K. N. Toosi University of Technology in Tehran in 2013, 2015, and 2019 and then she moved to Kiel University as a scientist in 2020. Besides her main research area in nano-optics, she is interested in a multidisciplinary project with the main subject of artificial intelligence. She contributed to several multidisciplinary projects such as the development of semantic interoperability (Semantic Reasoning) using artificial intelligence, using data mining for fraud detection, and deep learning applications in nano-optics. The Outcome of her research until now are several high-level publications and invited review papers.

Dr. Richmond S. Adebiaye is a professor, academic administrator, and researcher with over fifteen years of experience teaching cybersecurity, data science, computer science, and Information Systems courses. He has 35 peer-reviewed research publications and authored 5 textbooks in cybersecurity, object-oriented programming, and enterprise network management. Dr. Adebiaye earned his Ph.D. in Information Systems from the prestigious Robert Morris University, PA. He has CISSP, CISM, CRISC, AWS Data, LPI, and 8 other IT and Data Science certifications. Dr. Adebiaye has been an SME for the National Security Agency (NSA) with a Tier 4 (BI) secret clearance since 2012 on Enterprise Cybersecurity and Digital Forensics and also a member of the “Infragard” (Dallas, TX Charter) since 2010. His research areas are in Information and cyberdata analytical science, Information and Digital Forensics, Artificial Intelligence, Machine Learning, (AI/ML), privacy-enhancing technologies imprecision, audit-proof network management, and protocols. His research interests focus on methods for solving large stochastic planning problems (MDPs) using approximate dynamic programming techniques (reinforcement learning, value function approximation). He is also interested in creating AI agents that can understand language and reason, therefore also worked on natural language processing (NLP) with a focus on question-answering and problem-solving. Dr. Adebiaye is affiliated with the University of South Carolina Upstate.

Entrepreneur with more than 10 years of experience in food distribution, he comes from a family settled in the agricultural sector for more than four generations. Computer Engineer and expert in Robotics and Artificial Intelligence, he has developed together with his team a robotic solution that collects food on farms autonomously to reduce labor costs and labor shortages. In addition to reducing food waste and co2 emissions in the agriculture industry.

Tauheed Khan Mohd received his B.Tech in Computer Engineering from Jamia Millia Islamia, New Delhi, India in 2006. He received his M.S. degree from The University of Toledo, Ohio in 2015, and finished his Ph.D. in Human-Computer Interaction (HCI) in the Summer of 2019 at The University of Toledo. Previously, Tauheed worked for three years as Software Engineer in HCL Technologies, India followed by four years at a French Multinational company SOPRA. He worked onsite for three months at AIRBUS in Toulouse, France, and managed their onboard application called Network Server System (NSS). Tauheed worked as a Research Assistant on an NSF Funded Project called INITIATE which enables High School Students to get attracted towards STEM subjects. His areas of research are Human-Computer Interaction, Multimodal Input, Autonomous Vehicles, and Micro-controller devices including Arduino and Raspberry Pi.

Prof, Dr. Eng. CHERIF Adnen is a senior Professor at the University of Tunis Manar, specializing in Electric engineering and TIC communications. In 1987, he obtained his Engineering diploma from the National High Institute of Engineering of Tunis, then a Ph.D. in the field of Electric engineering and data processing. In 1991, he joined the University of TunisManar (Science Faculty of Tunis) where he was teaching electronics, automatic control, and signal information& processing. He is the founder and Coordinator of the Master's degree in the field of Networks and telecommunications systems since 2003. Mr. CHERIF is also the Director of a research laboratory «Electrical and energetic systems" composed of 60 teachers and researchers. He supervises several Ph.D. doctorate theses and master's. He is the author and co-author of more than 120 publications in indexed and impacted journals and more than 65 communications at International conferences. He is also working in the area of information technology and has wide industry, academic, consultancy, and research experience. He is an editorial board member of several International scientific journals and research project evaluation committees. He participated in and leads International research and development cooperation projects R&D with the European Union and the Maghreb region in the field of renewable energies and smart grids. PrCherifis also a member of several committees of training programs for engineering, master's degree, and accreditation processes.

Priya Persaud, Esq. is an intellectual property attorney at Banner & Witcoff, Ltd. in Washington, D.C.Priya’s practice is focused on the preparation and prosecution of patent applications across an array of technologies within computer and electrical engineering, including artificial intelligence systems, computer software, mobile devices, wireless systems, blockchain network technology, and security and authentication systems. Priya graduated from Montclair State University in Montclair, New Jersey, USA, where she obtained Bachelors degrees in Computer Science, Jurisprudence, and Political Science, with minors in Mathematics and Physics. As an undergraduate student, Priya explored the intersection of artificial intelligence and the justice system through a number of research projects. Priya’s first research project (“The Possibility of Establishing the Citizenry of the Future: The Inclusion of Artificial Intelligence Begins Within the Justice System,” Presented at Montclair State University 10th Annual Student Research Symposium, Montclair, NJ, April 2016) set the stage for her subsequent research and, ultimately, for her career as an attorney. Priya, under the guidance of her undergraduate professors and colleagues in industry, expanded the reach of her research by studying the computer science principles and robotics programming techniques associated with autonomous vehicles within smart cities (“Domain Specific Knowledge Bases with Common Sense Knowledge for Autonomous Vehicles in Smart Cities,” Presented at NSF GS-LSAMP Undergraduate Research Conference, New Brunswick, NJ, October 2016), where her work was funded by the National Science Foundation GS-LSAMP grant program at Montclair State University. Priya then combined her interests in autonomous vehicles and common sense knowledge repositories with her desire to learn about the inclusion of artificial intelligence beings within the justice system (“Common Sense Knowledge, Humanoid Robots, and Human Rights,” Presented at IEEE MIT Undergraduate Research Technology Conference, Cambridge, MA, November 2016; “Enhancing Autonomous Vehicles with Commonsense: Smart Mobility in Smart Cities,” Proceedings IEEE ICTAI 1008-1012, 2017). Upon graduating from Montclair State University, Priya attended Rutgers Law School in Newark, New Jersey, USA, where she graduated with a Juris Doctor degree. As a law student, Priya further explored the intersection of artificial intelligence and the justice system, this time studying case law centered on the criminal liability of machines (Protecting Against Ultron: Exploring the Potential Criminal Liability of Self-Programming Deep Learning Machines, 72 RUTGERS U. L. REV. 577 (2020)). Priya, along with colleagues and mentors in the industry, continues to study and explore advancements surrounding artificial intelligence beings and the ways in which the justice system may recognize such advancements and such beings (“Can Robots Get Some Human Rights? A Cross-Disciplinary Discussion,” Journal of Robotics, Vol. 21, Article ID 5461703, 11 pages, 2021). Priya aims to further her research on the influence of artificial intelligence advancements over the justice system and the possibility of recognizing artificial intelligence beings within the justice system.

Esther Chávez-Miranda is an Assistant Professor. She holds a Ph.D. in Management and Business Administration, devoting her research to the application of Revenue Management to the hotel sector, and has received the Extraordinary Doctorate Prize (2005) from the University of Seville. She has taught Revenue Management to postgraduate students since 2008 and centers her research on this subject. She is the founder of the Expert and Diploma on Hotel Revenue Management at the University of Seville (2014 and 2015, respectively) at that university in Spain. Her research interests are focused on Revenue Management in general and its particular application to services and hotel organizations.

Zhen Hua is a researcher at the China Academy of Aerospace Systems Science and Engineering, China. Her research interests include computational intelligence, operations research, fuzzy logic, and multi-criteria decision-making. Zhen Hua serves as a reviewer for several journals, such as the American Journal of Information Science and Technology and the Global Journal of Science Frontier Research. Her research has been published or accepted by several leading academic journals, such as Information Sciences, Expert Systems with Applications, Neural Processing Letters, and Applied Intelligence. She has won the Best Researcher Award from the Global Awards on Artificial Intelligence and Robotics.

Bhekisipho Twala is the Deputy Vice-Chancellor for Digital Transformation andProfessor in Artificial Intelligence and Data Science at the Tshwane University of Technology. Before then he was the Executive Dean of Engineering and Built Environment at the Durban University of Technology (DUT), South Africa.Prior to joining DUT, he was the Director of the School of Engineering at the University of South Africaand the founder of the Institute for Intelligent Systems at the University of Johannesburg. He completed his PhD at the Open University (UK) in 2005 and was a post-doctoral researcher at Brunel University in the UK, mainly focussing on empirical software engineering. Prof Twala’s current research includes promoting and conducting research inArtificial Intelligencewithin the Big Data Analytics field and developing novel and innovative solutions to crucial research problems in this area. Prof Twala has proven himself a leading force in improving science through Big Datasince the late 90s and has spoken at many conferences and seminars about it. He has a world-class track record of high-quality research and scholarship as evidenced by more than180 publications in internationally leading journals and conferences. He has directed over 20 Ph.D. theses in the area of machine learning and engineering science. Prof Twala is currently servingon several editorial boards including Information Sciences, Environmental Science, Intelligent Data Analysis,Data Science, Big Data, and Journal of Image and Data Fusion.He is a member of several professional bodies including being a fellow of the Royal Statistical Society and a registered professional natural scientist.

Cristina Portugal is a researcher, designer, and editor. She has the extensive academic experience and has completed three PostDocs, one of them, at the prestigious School of Communication at the Royal College of Art, London. Her work was recognized with the Research Productivity Grant from CNPq - National Council for Scientific and Technological Development. Editor of the journal Estudos em Design, the highest-rated journal in the area of Design in Brazil. She was President of the Brazilian Society of Information Design – SBDI for two terms. She has books, book chapters, and papers published in journals and annals of international events. She has lectured at conferences in London, Paris, Granada, Crete, Portugal, Oslo, Mexico City, Rio de Janeiro, and São Paulo among others. She is a member of the Contemporary Design and Active Touch Research Group Directory of UNESP/CNPq and UFMA/CNPq. Received funding from a research funding agency 10 times to develop her projects. The series of hypermedia books, Design*Technology, stands out.