Shanghai , China

October 14-15, 2022

Keynote Speakers
Kostas Plataniotis
Professor, Department of Electrical & Computer Engineering, University of Toronto, Canada.
Research field:Artificial intelligence; Human-computer Interaction; Signal processing; Communications systems.
Konstantinos (Kostas) N. Plataniotis received his B.Eng. degree in Computer Engineering from University of Patras, Greece and his M.S. and PhD degrees in Electrical Engineering from Florida Institute of Technology Melbourne, Florida. Dr. Plataniotis is currently a Professor with The Edward S. Rogers Sr. Department of Electrical and Computer Engineering at the University of Toronto in Toronto, Ontario, Canada, where he directs the Multimedia Laboratory. He holds the Bell Canada Endowed Chair in Multimedia since 2014. His research interests are primarily in the areas of image/signal processing, machine learning and adaptive learning systems, visual data analysis, multimedia and knowledge media, and affective computing. Dr. Plataniotis is a Fellow of IEEE, Fellow of the Engineering Institute of Canada, and registered professional engineer in Ontario.
Jiangchuan (JC) LIU
Professor, School of Computing Science Simon Fraser University, Canada, Fellow of Canadian Academy of Engineering, Fellow of IEEE, NSERC E.W.R. Steacie Memorial Fellow.
Research field:Networking and multimedia systems and applications, in particular, Multimedia content processing and communications; Internet architecture and protocols; Wireless mobile networking; Cloud and edge computing; Online gaming and social networking; Internet of Things/RFID/backscatter.
Jiangchuan Liu is currently a Full Professor (with University Professorship) in the School of Computing Science at Simon Fraser University, British Columbia, Canada. He is a Fellow of The Canadian Academy of Engineering, an IEEE Fellow and an NSERC E.W.R. Steacie Memorial Fellow. He is also an EMC-Endowed Visiting Chair Professor of Tsinghua University, Beijing, China (2013-2016) and an Adjunct Professor of Tsinghua Shenzhen Graduate School. He was a Microsoft Research Fellow and worked at Microsoft Research Asia (MSRA) in the summers of 2000, 2001, 2002, 2007, and 2011. He received BEng (Cum Laude) from Tsinghua University in 1999, and PhD from The Hong Kong University of Science and Technology in 2003 (through HKUST's MED program with recommendation from Education Ministry of China and scholarship from Hong Kong Jockey Club; recipient of 2004 Hong Kong Young Scientist Award for the PhD work). From 2003 to 2004, he was an Assistant Professor in the Department of Computer Science and Engineering at The Chinese University of Hong Kong.
Petros Spachos
Associate Professor, School of Engineering, University of Guelph, Canada.
Research field:Mobile systems; the Internet of Things (IoT).
Petros Spachos received his Ph.D. and my M.A.Sc. from the Department of Electrical and Computer Engineering, University of Toronto, and his 5-year diploma degree from the Department of Electronic and Computer Engineering at the Technical University of Crete, Greece. His research interests span primarily in the area of mobile systems and the Internet of Things (IoT). He is mainly working on the design, program, simulation, and evaluation of smart systems as well as testbed prototyping, with a current focus on novel smart city applications through smartphones. Recently, he has co-authored an overview article on BLE Beacons in the Smart City: Applications, Challenges, and Research Opportunities, and one on An Experimental Framework For Wellness Assessment Through the Internet of Things.
Nebojsa Bacanin
Associate professor, vice-dean at Faculty of Informatics and Computing, Singidunum University, Serbia.
Research field:Stochastic optimization algorithms; Swarm intelligence; Soft-computing and optimization and modeling; Artificial intelligence; Machine learning; Image processing; Cloud and distributed computing.
Nebojsa Bacanin received his Ph.D. degrees from Faculty of Mathematics, University of Belgrade in 2015 (study program Computer Science, average grade 10.00) and from Faculty of Business Studies, Megatrend University in 2014 (study program Economics/Computer Science, average grade: 9.33). He started University career in Serbia 13 years ago. He was the vice-dean of the Graduate School of Computer Science at Megatrend University. He currently works as an associate professor at Singidunum University and as a vice-dean at Faculty of Informatics and Computing, Singidunum University. Nebojsa Bacanin is involved in scientific research in the field of computer science. He has published more than 90 scientific papers in high quality journals and international conferences indexed in Clarivate Analytics JCR, Scopus, WoS, IEEExplore, and other scientific databases, as well as in Springer Lecture Notes in Computer Science and Procedia Computer Science book chapters. He has also published 2 books in domains of Cloud Computing and Advanced Java Spring Programming.
Danilo Avola
Assistant Professor, Department of Computer Science,Sapienza University of Rome, Italy.
Research field:Computer vision; Image/Video processing; Human computer interaction; Wi-Fi signal processing; EGG signal processing; Machine/Deep learning; Multimodal systems; Pattern recognition; Event/Action/Affect recognition; Action; Scene understanding; Body language and face expression interpretation; Robotics (UAVs, AUVs, ROVs, Humanoids).
Danilo Avola earned his Ph.D. degree in Molecular and Ultrastructural Imaging from University of L'Aquila, L'Aquila, Italy, in 2014. Since 2021 he is Assistant Professor at the Department of Computer Science of Sapienza University of Rome, where he leads both the Robotics Vision and Artificial Intelligence Laboratory (TITAN Lab) and the Computer Vison Laboratory (VisionLab). In addition, since 2018 he is R&D Senior Engineer at the W•SENSE s.r.l., a spin-off of Sapienza University of Rome, where he leads the Computer Vision Team (CVT), and since 2010 he provides consultation and collaboration to companies engaged in computer science, computer vision, and artificial intelligence research projects. Previously, he was postdoc researcher at the Department of Mathematics, Computer Science and Physics (DMIF), University of Udine, Udine, Italy, and R&D Senior Engineer at the Artificial Vision and Real-Time Systems Laboratory (AVIRES Lab) at the same University. Even before, he was R&D Senior Engineer and Supervisor, earlier, at the Multimodal & Multimedia Laboratory (M&M Lab) of the National Research Council, Rome, Italy, and, later, both at the Pictorial Computing Laboratory (PCL Lab) and at the Artificial Vision Laboratory (AV Lab) of Sapienza University of Rome. Among other awards and prizes, Danilo Avola received, in 2020, the Outstanding Paper Award for IEEE Transactions on Industrial Informatics (TII). Currently, he is Reviewer of top International Journals in Computer Vision, including Pattern Recognition, Pattern Recognition Letters, IEEE Transactions on Industrial Informatics, etc. He has published around 100 papers on these topics. Since 2011, Danilo Avola is member of IAPR, CVPL, and IEEE.
Sudeep Tanwar

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

Research field:blockchain technology; wireless sensor networks; fog computing; smart grid; and the IoT.

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
Professor, IEEE Senior Member, Guilin University of Electronic Technology, China and University of Chile, Chile.
Research field:Green Information and Communication Technology; Big Data; Internet of Things; Edge Computing.

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)

Anand Nayyar
Assistant Professor, IEEE/ACM Senior Member, Duy Tan University, Vietnam.
Research field:Wireless Sensor Networks; IoT, Swarm Intelligence; Cloud Computing; Artificial Intelligence; Drones; Blockchain; Cyber Security; Network Simulation and Wireless Communications.

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
Assistant Professor, Nanyang Technological University (NTU), Singapore.
Research field:Wireless communications & networks; Edge computing; Security & privacy; Federated/reinforcement learning; and Metaverse.

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
Dean of Engineering Faculty of Engineering, Ruppin Academic Center; Associate Research Fellow, Technion – Israel Institute of Technology, Israel.
Research field:AI and Machine Learning; VLSI and Chip design; Computer architecture; Domain specific accelerators.

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.

Xiaolu Hou
Assistant Professor, Slovak University of Technology, Slovakia.
Research field:Hardware security and cryptography; Fault injection and side-channel attacks; Neural network security.

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.

Mark J. Jackson
Professor, Kansas State University, USA.
Research field:Condensed Matter Physics; Physics and Chemistry of Solids; Tribology of Machining; Mechanical Engineering; Naval Architecture.

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.

Md Zia Uddin
Senior Research Scientist, Sustainable Communication Technologies Department, INTEF Digital, Norway.
Research field:Data & feature analysis from various sources (sensors and others); Physical/mental healthcare; Human machine/computer/robot interaction; Pattern recognition; Deep learning; Artificial intelligence etc.

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.

Important Dates

  • Last date for full paper submission:

    August 15, 2022August 31, 2022

  • Last date for paper acceptance:

    September 15, 2022

  • Last date for registration:
    September 30, 2022

  • Conference date:
    October 14-15, 2022

Contact Us

  • Conference Secretary: Ms. Huo


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