Paper submission due：
December 31, 2023
Paper acceptance due：
February 15, 2024
April 12-14, 2024
Beijing University of Technology
Ljiljana Trajković, Simon Fraser University, Canada
Sos S. Agaian, City University of New York, USA
Yu-Dong Zhang, University of Leicester, UK
Danilo Pelusi, Università degli Studi di Teramo, Italy
Dr. Sarah Huo
Nancy R. Mead：Adjunct Professor, IEEE Fellow, SEI Fellow, Carnegie Mellon University, USA.
Research field：Software and Security Requirements Engineering, Software Engineering and Software Assurance Curricula.
Dr. Nancy Mead received her BA, MS, and PhD in Mathematics from New York University.
Mead was a Senior Technical Staff Member at IBM Federal Systems, where she spent the first half of her career in the development and management of large real-time software systems. She also worked in IBM's software engineering technology area and managed IBM Federal Systems' Software Engineering Education department.
At the Software Engineering Institute she served as Director of Software Engineering Education for the SEI from 1991 to 1994. During that time the faculty for CMU’s Master of Software Engineering were part of her group. She frequently taught at CMU as an Adjunct Professor of Software Engineering in several of their Master’s degree programs and in executive education. Subsequently she worked in software assurance research and education from 1995 until her retirement in 2018. She has developed and taught numerous courses on software engineering and software assurance topics, both at universities and in professional education settings. At present she continues on the adjunct faculty at CMU and is engaged in many additional professional activities.
Mead has authored more than 200 publications and invited presentations. Her awards and honors include: IEEE Fellow, Distinguished Member of the ACM, IEEE TCSE Distinguished Educator, Parnas Fellow at Lero the Irish Software Research Center, IEEE Distinguished Visitor Program. She is currently Executive Vice Chair of the IEEE TCSE Executive Board and Treasurer for the IEEE Savannah Section. The Nancy Mead Award for Excellence in Software Engineering Education is named for her.
Yu-Dong Zhang：Professor, IEEE/ACM/IES Senior Member, University of Leicester, UK.
Research field：Deep Learning, Convolutional Neural Networks, Graph Convolutional Networks, Attention Networks, Explainable AI, Biomedical Image Analysis, Bio-inspired Computing, Pattern Recognition, Transfer Learning, Medical Sensor.
Prof. Yudong Zhang serves as a professor at the School of Computing and Mathematical Sciences,University of Leicester,UK.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 21670 in Google Scholar(h-index 82).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.
Seifedine Kadry：Professor, IEEE Senior Member, Noroff University College, Oslo, Norway.
Research field：Data Science, Medical Imaging, Applied Mathematics.
David Alan Grier：Associate professor, IEEE Fellow, George Washington University, USA.
Research field：Technology, Society & Organizations, Science & Technology Policy.
Kuo-Hui Yeh：Professor, IEEE Senior Member, National Dong Hwa University, Taiwan, China.
Research field：IoT Security, Blockchain, Mobile Security, NFC/RFID Security, Authentication, Data Privacy, Cryptology.
Kuo-Hui Yeh (SM’16) is a full Professor with the department of Information Management, National Dong Hwa University, Hualien, Taiwan. He received M.S. and Ph.D. degrees in Information Management from the National Taiwan University of Science and Technology, Taipei, Taiwan, in 2005 and 2010, respectively. Dr. Yeh has authored over 100 articles in refereed journals and conferences. His research interests include IoT security, Blockchain, mobile security, NFC/RFID security, authentication, digital signature, data privacy and network security. Dr. Yeh is currently an Associate/Academic Editor of the Journal of Information Security and Applications (JISA), IEEE Access, Symmetry, Security and Communication Networks (SCN), the Journal of Internet Technology (JIT), and Frontiers in Communications and Networks – Security, Privacy and Authentication, and has served as a guest editor for Future Generation Computer Systems (FGCS), Cloud Computing, IEEE Access, Annals of Telecommunications, CMC-Computers, Materials & Continua, Mathematical Biosciences and Engineering (MBE), and the International Journal of Information Security (IJIS), JIT, Sensors and Cryptography. In addition, Dr. Yeh has served as a TPC member for 40 international conferences/workshops on information security. He is a Senior Member of the IEEE and a Member of the ACM, ISACA, CAA, CCISA, CSROC, and IICM, as well as holds CISSP, CISM, Security+, ISO 27001 LA and ISO 27701 LA certifications.
Anand Nayyar：Professor, IEEE/ACM Senior Member, Duy Tan University, Vietnam.
Research field：Wireless Sensor Networks, Internet of Things, Swarm Intelligence, Cloud Computing, Artificial Intelligence, Drones, Blockchain, Cyber Security, Healthcare Informatics, Big Data 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 Professor, Scientist, Vice-Chairman (Research) and Director- IoT and Intelligent Systems Lab. A Certified Professional with 125+ Professional certificates from CISCO, Microsoft, Amazon, EC-Council, Oracle, Google, Beingcert, EXIN, GAQM, Cyberoam and many more. Published more than 150+ Research Papers in various High-Quality ISI-SCI/SCIE/SSCI Impact Factor Journals cum Scopus/ESCI indexed Journals, 70+ Papers in International Conferences indexed with Springer, IEEE and ACM Digital Library, 40+ Book Chapters in various SCOPUS/WEB OF SCIENCE Indexed Books with Springer, CRC Press, Wiley, IET, Elsevier with Citations: 8500+, H-Index: 48 and I-Index: 167. 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, 4 German Patents, 2 Japanese Patents, 11 Indian Design cum Utility Patents, 1 USA Patent, 3 Indian Copyrights and 2 Canadian Copyrights to his credit in the area of Wireless Communications, Artificial Intelligence, Cloud Computing, IoT and Image Processing. Awarded 39 Awards for Teaching and Research—Young Scientist, Best Scientist, Best Senior Scientist, Asia Top 50 Academicians and Researchers, Young Researcher Award, Outstanding Researcher Award, Excellence in Teaching, Best Senior Scientist Award, DTU Best Professor and Researcher Award- 2019, 2020-2021, 2022 and many more. He is listed in Top 2% Scientists as per Stanford University (2020, 2021, 2022). 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), Tech Science Press- CSSE, IASC, IET-Quantum Communications, IET Wireless Sensor Systems, IET Networks, IJDST, IJISP, IJCINI, IJGC, IJSIR. 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 2500+ Articles for diverse Web of Science and Scopus 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, Healthcare Informatics, Big Data and Wireless Communications.
Danilo Avola：Associate, IEEE Senior Member, 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.
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, IEEE Transactions on Industrial Electronics, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Human-Machine Systems, and International Journal of Computer Vision; in addition, he is Associate Editor and Guest Editor of different ranked International Journals. His research interests include 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), and has published around 100 papers on these topics. Since 2011, Danilo Avola is member of IAPR, CVPL, and IEEE.
Jingsha He：Professor, Beijing University of Technology, China.
Research field：Computer Networks, Information Safety, 3D Printing, Big Data and Cloud Computing Security, Digital Forensics.
Graduated from University of Maryland, he has worked in IBM Corp., MCI Communications Corp., GRIC Communications, Inc., etc. in America, and got 15 American patents for invention. In 2003, he was introduced to Beijing University of Technology. At present, he has published 261 papers in international journals and conference proceedings, and got 58 Chinese patents for invention, presided over more than 30 projects as well, such as National Natural Science Foundation of China, 863 project, etc.
Deepak Kumar：Associate Professor, IEEE Senior Member, Dalian University of Technology, China.
Research field：Deep Learning, Machine Learning, Pattern Recognition, and Computer Vision.
Pooja Singh：Assistant Professor, IEEE Senior Member, SIES-Graduate School of Technology, Navi Mumbai, India.
Research field：Mathematical Modelling, Reliability, Safety and Security of Safety Critical Computer-based Systems.
Dr. Pooja Singh received her Ph.D. degree from Indian Institute of Technology (Banaras Hindu University). She has experience of 21 years in world’s leading CMMi-5 software multinational companies, research organizations and academic institutes. She is currently Assistant Professor in SIES Graduate School of Technology, Navi Mumbai, and has distinction of working in the field of Image processing, Artificial intelligence, Mathematical Modelling, reliability engineering, safety engineering and other mathematical sciences for to solve the various technical challenges in Nuclear Power Plants. She has an illustrious career and succeeded in several critical jobs assigned to him in his illustrious career, though, each of them was challenging. Her assignments over the years range from design, development, testing, IV&V, related research and site validation of the safety critical computer based systems of Indian Nuclear Power Plants. She has published several research papers in journals of high impact factor like IEEE Transactions, IEEE Computer, ACM, Elsevier, Quality & Reliability International, etc. She is recipient of many awards like prestigious IEEE K. Shankar award, publication award, etc. She has also received IEEE Woman Technologist award. She is a reviewer of several SCI indexed journals of high impact factor, including 14 different IEEE Transactions. She is a life member of Indian Nuclear Society. She is a Senior Member of IEEE. She has been invited for keynote speeches, and talks in many international IEEE and other conferences. She is a member of editorial board of many reputed journals and guest lead editor of many special issues. She is supervising many PhD students of different reputed institutes. She is actively involved in formation of interdisciplinary Centre of Dependability Engineering at IIT (BHU). She has several international research collaborations. Her research interests are in the area of mathematical modelling, image processing, artificial intelligence, reliability, system design, safety and security of safety critical computer based systems. So far she has completed many projects of Department of Atomic Energy, Government of India and Department of Science and Technology, India.