Prof. Javier Gozalvez is Full Professor and Director of the UWICORE laboratory at the Universidad Miguel Hernández de Elche (UMH), Spain. At UWICORE, he leads research activities in the areas of vehicular networks, connected and automated driving, beyond 5G networks, and industrial wireless networks. He served as President of the IEEE Vehicular Technology Society, Editor in Chief of the IEEE Vehicular Technology Magazine, IEEE Distinguished Lecturer and IEEE Distinguished Speaker for the IEEE VTS. He is an expert evaluator for the European Commission and multiple national agencies, contributes to ETSI standards in V2X, and has a strong track record of collaborations with industry. He was recognized with a "Juan López de Peñalver" distinction award from the Spanish Royal Academy of Engineering, which recognizes the most notable Spanish engineers under 40 years of age. He received an electronics engineering degree from the Engineering School ENSEIRB (Bordeaux, France), and a PhD in mobile communications from the University of Strathclyde, Glasgow, U.K.

Vladan Devedzic is a Professor of Computer Science and Software Engineering at the University of Belgrade, Faculty of Organizational Sciences, Belgrade, Serbia. He also used to teach several Computer Science and software Engineering courses at other universities, including University of Canterbury, New Zealand. Since 2021, he is a Corresponding Member of the Serbian Academy of Sciences and Arts (SASA). He is the founder and the chair of the GOOD OLD AI research network. He is also the founder of the Artificial Intelligence Laboratory at his home faculty. Vladan Devedzic has authored/co-authored more than 380 research papers, published in international and national journals or presented at international and national conferences, as well as six books on intelligent systems and software engineering. So far, he has given more than 20 Keynote and Plenary talks at international conferences, as well as more than 20 tutorials. His long-term professional objective is to bring close together ideas from the broad fields of Artificial Intelligence/ Intelligent Systems and Software Engineering.

GYU MYOUNG LEE (Senior Member, IEEE) received the BS degree from the Hong Ik University, Seoul, South Korea, in 1999, and the MS and PhD degrees from the Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea, in 2000 and 2007. He is with the Liverpool John Moores University (LJMU), United Kingdom, as reader from 2014 and with KAIST Institute for IT convergence, Korea, as adjunct professor from 2012. Prior to joining the LJMU, he has worked with the Institut Mines-Telecom, Telecom SudParis, France, from 2008. Until 2012, he had been invited to work with the Electronics and Telecommunications Research Institute (ETRI), Korea. He also worked as a research professor with KAIST, Korea and as a guest researcher with the National Institute of Standards and Technology (NIST), in 2007. His research interests include Internet of things, future networks, multimedia services, and energy saving technologies including smart grids. He has been actively working for standardization in ITU-T, IETF, and oneM2M, etc. In ITU-T, he currently serves as a WP chair in SG13, the Rapporteur of Q16/13 and Q4/20 as well as the chair of FG-DPM.

Dr. Dilbag Singh earned his Ph.D. in Computer Science and Engineering from the Thapar Institute of Engineering and Technology, India, in 2019. With over 12 years of experience, his expertise spans medical imaging, digital health, image processing, and metaheuristic approaches. Currently, he serves at New York University's Grossman School of Medicine in New York, United States. Dr. Singh has an impressive publication record, with over 120 SCI/SCIE-indexed papers and an H-index of 48.

Prof. Yudong Zhang serves as a professor at Southeast University. His research interests include deep learning and medical image analysis. He is the Fellow of IET, Fellow of EAI, and Fellow of BCS. He is the Senior Member of IEEE, IES, and ACM. He is the Distinguished Speaker of ACM. He was the 2019&2021 recipient of Highly Cited Researcher by Clarivate. He has(co)authored over 400 peer-reviewed articles in the journals JAMA Psychiatry, Inf Fus, IEEE TFS, IEEE TII, IEEE TIP, IEEE TMI, IEEE IoTJ, Neural Networks, IEEE TITS, Pattern Recognition, IEEE TGRS, IEEE JBHI, IEEE TCSVT, IEEE TETCI, IEEE TCSS, IEEE JSTARS, IEEE TNSRE, IEEE SJ, ACM TKDD, ACM TOMM, IEEE/ACM TCBB, IEEE TCAS-II, IEEE JTEHM, ACM TMIS, etc. There are more than 50 ESI Highly Cited Papers and 5 ESI Hot Papers in his(co)authored publications. His citation reached 45725 in Google Scholar (h-index 115). He has conducted many successful industrial projects and academic grants from NIH, Royal Society, GCRF, EPSRC, MRC, Hope, British Council, and NSFC. He has given over 120 invited talks at international conferences, universities, and companies. He has served as (Co-)Chair for more than 60 international conferences and workshops. His research outputs have been reported by more than 50 news press, such as Reuters, BBC, Telegraph, Physics World, UK Today News, etc.

Prof. DR MUAZZAM A. KHAN KHATTAK (SM IEEE, PAS) currently serving as Director Science & Technology as well Director ICESCO Chair Data Analytics and Edge Computing at Quaid-i-Azam University, Islamabad. He is also listed among Top 2% scientists of the world compiled by Stanford University, USA. Beside that he is also adjunct Professor at University of Missouri, USA and USak University, Turkey. He received his Ph.D. degree in Computer sciences as a sandwich program from IIUI and UMKC, USA in 2011. He received his Postdoc from University of Missouri, KC, USA in 2016. Later Dr. Khattak joined National University of Sciences & Technology (NUST), Islamabad as an Assistant Professor in 2013 and was promoted to Associate Dean and Tenured Associate Professor. He has been at the School of Computer Science, University of Ulm, Germany. He has published 220+ publications with impact factor 400+ and total citations of 5760 and h-index 43. His research interests include Internet of Things, Next Generation Intelligent Networks, BlockChain Based Information and Network Security, Vehicular Ad-hoc Networks and Acoustic Networks.

Md Abdus Samad Kamal received the B.Sc. Engineering degree from Khulna University of Engineering and Technology (KUET), Bangladesh, in 1997 and the Master and Ph.D. degrees from Kyushu University, Japan, in 2003 and 2006, respectively. He was a Lecturer with KUET from 1997 to 2000, a Researcher with Kyushu University in 2006, and 2008 to 2011, an Assistant Professor with International Islamic University Malaysia, Malaysia from 2006 to 2008, a Researcher with The University of Tokyo, Japan from 2011 to 2014. He worked as a Visiting Researcher with Toyota Central R \& D Labs., Inc., Japan, from 2014 to 2016. He was a Senior Lecturer in the School of Engineering, Monash University Malaysia from 2016 to 2019. Currently, he is an Associate Professor in the Graduate School of Science and Technology, Gunma University, Japan. His research interests include intelligent transportation systems, connected and automated vehicles, and the applications of machine learning and model predictive control. Dr. Kamal is a member of the Society of Instrument and Control Engineers (SICE), a Senior Member of Institute of Electrical and Electronics Engineers (IEEE), and a Chartered Engineer of Institution of Engineering and Technology (IET).