Professor, IEEE Senior Member, Department of Computer Science and Engineering, Institute of Technology, Nirma University, India.

Sudeep Tanwar is working as a full professor at the Nirma University, India. He is also a Visiting Professor with Jan Wyzykowski University, Poland, and the University of Pitesti, Romania. He received B. Tech in 2002 from Kurukshetra University, India, M.Tech (Honor’s) in 2009 from Guru Gobind Singh Indraprastha University, Delhi, India, and Ph.D. in 2016 with specialization in Wireless Sensor Network. He has authored 04 books and edited 20 books, and more than 270 technical articles, including top-cited journals and conferences, such as IEEE TNSE, IEEE TVT, IEEE TII, IEEE TGCN, IEEE TCSC, IEEE IoTJ, IEEE NETWORKS, ICC, IWCMC, GLOBECOM, CITS, and INFOCOM. He initiated the research field of blockchain technology adoption in various verticals, in 2017. His H-index is 53. His research interests include blockchain technology, wireless sensor networks, fog computing, smart grid, and the IoT. He is a member of the Technical Committee on Tactile Internet of the IEEE Communication Society. He has been awarded the Best Research Paper Awards from IEEE IWCMC-2021, IEEE ICCCA-2021, IEEE GLOBECOM 2018, IEEE ICC 2019, and Springer ICRIC-2019. He has wonDr. KW Wong's Annual Best Paper Prize for 2021 sponsored by Elsevier (publishers of JISA).He has served at many international conferences as a member of the Organizing Committee, such as the Publication Chair for FTNCT-2020, ICCIC 2020, and WiMob2019, and a General Chair for IC4S 2019, 2020, ICCSDF 2020, FTNCT 2021. He is also serving on the editorial boards ofCOMCOM-Elsevier, IJCS-Wiley,Cyber Security and Applications- Elsevier,Frontiers of blockchain,andSPY, Wiley. He is also leading the ST Research Laboratory, where group members are working on the latest cutting-edge technologies.

Jinsong Wu (IEEE Senior Member) received the Ph.D. degree from the Department of Electrical and Computer Engineering, Queens University, Canada, in 2006. He has been elected as the Vice-Chair of Technical Activities since 2017, the IEEE Environmental Engineering Initiative, and a pan-IEEE effort under IEEE Technical Activities Board (TAB). He was the Founder and the Founding Chair of the IEEE Technical Committee on Green Communications and Computing (TCGCC) from 2011 to 2017. Since 2015, he has been also the Co-Founder and the Founding Vice-Chair of the IEEE Technical Committee on Big Data (TCBD). He won the 2020 IEEE Green Communications and Computing Technical Committee Distinguished Technical Achievement Recognition Award, for his outstanding technical leadership and achievement in green wireless communications and networking and the 2017 IEEE Green Communications and Computing Technical Committee Excellent Services Award for Excellent Technical Leadership and Services in the Green Communications and Computing Community. He received the 2017, 2019, and 2021 IEEE System Journal Best Paper Awards. His coauthored paper won the 2018 IEEE TCGCC Best Magazine Paper Award. He was the Leading Editor and a Coauthor of the comprehensive book Green Communications: Theoretical Fundamentals, Algorithms, and Applications (CRC Press, September 2012)

Dr. Anand Nayyar received Ph.D (Computer Science) from Desh Bhagat University in 2017 in the area of Wireless Sensor Networks, Swarm Intelligence and Network Simulation. He is currently working in School of Computer Science-Duy Tan University, Da Nang, Vietnam as Assistant Professor, Scientist, Vice-Chairman (Research) and Director- IoT and Intelligent Systems Lab. A Certified Professional with 100+ Professional certificates from CISCO, Microsoft, Amazon, EC-Council, Oracle, Google, Beingcert, EXIN, GAQM, Cyberoam and many more. Published more than 130+ Research Papers in various High-Quality ISI-SCI/SCIE/SSCI Impact Factor Journals cum Scopus/ESCI indexed Journals, 100+ Papers in International Conferences indexed with Springer, IEEE Xplore and ACM Digital Library, 40+ Book Chapters in various SCOPUS, WEB OF SCIENCE Indexed Books with Springer, CRC Press, Wiley, IET, Elsevier with Citations: 6300+, H-Index: 40 and I-Index: 150. Member of more than 60+ Associations as Senior and Life Member including IEEE, ACM. He has authored/co-authored cum Edited 40+ Books of Computer Science. Associated with more than 500+ International Conferences as Programme Committee/Chair/Advisory Board/Review Board member. He has 18 Australian Patents, 11 Indian Design cum Utility Patents, 3 Indian Copyrights, 2 Canadian Copyrights and 3 German Patents to his credit in the area of Wireless Communications, Artificial Intelligence, Cloud Computing, IoT and Image Processing. Awarded 38 Awards for Teaching and Research—Young Scientist, Best Scientist, Young Researcher Award, Outstanding Researcher Award, Excellence in Teaching and many more. He is acting as Associate Editor for Wireless Networks (Springer), Computer Communications (Elsevier), International Journal of Sensor Networks (IJSNET) (Inderscience), Frontiers in Computer Science, PeerJ Computer Science, Human Centric Computing and Information Sciences (HCIS), IET-Quantum Communications, IET Wireless Sensor Systems, IET Networks, IJDST, IJISP, IJCINI, IJGC. He is acting as Editor-in-Chief of IGI-Global, USA Journal titled “International Journal of Smart Vehicles and Smart Transportation (IJSVST)”. He has reviewed more than 1800+ Articles for various Web of Science Indexed Journals He is currently researching in the area of Wireless Sensor Networks, Internet of Things, Swarm Intelligence, Cloud Computing, Artificial Intelligence, Drones, Blockchain, Cyber Security, Network Simulation, Software Engineering and Wireless Communications.

Jun Zhao is currently an Assistant Professor in the School of Computer Science and Engineering (SCSE) at Nanyang Technological University (NTU) in Singapore. He received a PhD degree in May 2015 in Electrical and Computer Engineering from Carnegie Mellon University (CMU) in the USA (advisors: Virgil Gligor, Osman Yagan; collaborator: Adrian Perrig), affiliating with CMU's renowned CyLab Security & Privacy Institute, and a bachelor's degree in July 2010 from Shanghai Jiao Tong University (SJTU) in China. Before joining NTU first as a postdoc with Xiaokui Xiao and then as a faculty member, he was a postdoc at Arizona State University as an Arizona Computing PostDoc Best Practices Fellow (advisors: Junshan Zhang, Vincent Poor). His research interests mainly include: AI and Data Science, Security and Privacy and Communications, Networks, Control, Learning. He serves as editor of many journals and TPC member of many conferences. His works got 3782 Citations, and his h-index is 33 and i10-index is 75.

Freddy Gabbay recevied his Ph.D. of CPUs and micro-processor architecture in 1998 and M.Sc. of cache memories, coherency protocols and multi-processors systems in 1995 from Electrical Engineering Department, Technion, Israel. He is currently associate research fellow of the Andrew and Erna Viterbi Faculty of Electrical and Computer Engineering Department in Technion - Israel Institute of Technology, and Dean of Faculty of Engineering in Ruppin Academic Center. His research interests include AI and Machine Learning; VLSI and Chip design; Computer architecture; Domain specific accelerators. His works got 1557 Citations and his h-index is 16, i10-index is 21.

Dr. Xiaolu Hou is currently an Assistant Professor atFaculty of Informatics and Information Technologies,Slovak University of Technology, Bratislava, Slovakia. Dr. Hou got her PhD degree in Mathematical Sciences in May 2017 fromSchool of Physical and Mathematical Sciences,Nanyang Technological University. Her research focus is on hardware security of cryptographic implementations and neural networks. She is also experienced in research of location privacy, multiparty computation, and differential privacy. Thanks to a wide range of research interests, she presented her works at the most prestigious conferences and in journals in various fields, from mathematics to computer security. She designs and develops novel attacks and protection techniques on protocol, hardware and software levels.

Dr. Mark James Jackson received the M.Eng., Ph.D., and D.Sc. degrees in Liverpool, U.K.,He conducted his postdoctoral studies at the University of Cambridge. He is the McCune and Middlekauff Endowed Professor of Mechanical Engineering with Kansas State University. He has also conducted research at Oxford University and taught at the University of Liverpool before teaching in the USA. His areas of expertise in mechanical engineering technology include manufacturing, materials science and nanotechnology. In 2015 and 2020, Dr. Jackson was awarded the Certificate and Diploma in Naval Architecture from the Lloyd’s Maritime Academy, London, UK. He also conducts work on aspects of laser welding and deposition of thick film coatings in the shipbuilding process.

Dr. Zia obtained his Bachelor degree in Computer Science and Engineering in 2004 with gold medal. He completed his Ph.D. degree in Biomedical Engineering in 2011 from Kyung Hee University of South Korea. He is currently working as a Senior Research Scientist in Human Computer Interaction group, SINTEF Digital, Oslo, Norway.

His research fields are mainly focused on data & feature analysis from various sources (sensors and others), physical/mental healthcare, human machine/computer/robot interaction, pattern recognition, deep learning, artificial intelligence etc. His research outcomes have been published in prestigious journals such as Information Fusion, IEEE transactions on consumer electronics, Future Generation Computer Systems, etc.

Dr. Zia has a good teaching experience where he taught more than 20 computer science-related courses from bachelor degree to PhD. He has got more than 125 research publications including international journals, conferences and book chapters. His google scholar citations are more than 3000. Furthermore, he got Gold Medal Award (2008) for academic excellence in undergraduate study. He was also Awarded Korean Government IT Scholarship (March 2007 to February 2011) and Kyung Hee University President Scholarship (March 2007 to February 2011).

His research works received best/outstanding paper awards in several peer reviewed international conferences. He acted as a reviewer in many prestigious journals including IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Information Fusion, IEEE Transactions on Industrial Informatics, and IEEE Transactions on Biomedical Engineering, etc. Dr. Zia has been recently enlisted in the World’s Top 2% Scientists for Single Year 2019 and 2020 by Stanford University of USA and Elsevier BV.