Advisory Board and Editors Security & Privacy
Ankit Vishnoi
Dr. Ankit Vishnoi is an Associate Professor in the Department of Computer Science & Engineering at Graphic Era (Deemed to be) University, Dehradun, India. With more than two decades of combined academic and industry experience, he has established himself as a leading researcher in cybersecurity, artificial intelligence, IoT ecosystems, and advanced healthcare analytics. Prior to his academic career, he worked with IBM India Pvt. Ltd., contributing to large-scale enterprise solutions and gaining extensive expertise in applied machine learning and secure systems design.
Dr. Vishnoi has published over 30 peer-reviewed research papers in reputed journals and international conferences and has served in key leadership roles for multiple IEEE, Springer, and EAI conferences, including Convener, Co-Convener, Organizing Secretary, and Track Chair. He is actively involved in editorial and review responsibilities for several Scopus-indexed and SCI journals.
His current research focuses on AI-driven cybersecurity frameworks, deep learning for medical imaging, smart contract vulnerability detection, and human–computer interaction models. He also mentors research scholars across emerging domains and contributes to interdisciplinary innovation and technology-driven community development initiatives.
Qiang Wang
Qiang Wang received a Ph.D in Environmental Science from the Chinese Academy of Science in 2009, was an Associate Professor (2010) at the Qingdao Institute Of Bioenergy & Bioprocess Technology, Chinese Academy Of Sciences, and a Professor (2011-16) at Xinjiang Ecology And Geography Institute, Chinese Academy Of Sciences, and then moved to China University of Petroleum (2016-2022). His research focuses on energy-environment-health issues through multidisciplinary research methods
Through clever use of time series statistical models (e.g., joint regression models, variable intercept models, variable coefficient models), high-precision combined forecasting models (e.g. gray forecasting and neural network models combined forecasting models), multilateral input-output models, decomposition models (e.g. index decomposition method, structural decomposition method), Dr. Wang has published more than 180 peer-reviewed papers (corresponding author) in high profile English journals.
These papers have been cited over 8,800 (Google Scholar)/ 7,100(Scopus)/ 6,200 (WoS) times by October 2022. 19 papers are selected as global ESI 0.1% Hot Papers, and 36 papers are selected as global ESI 1% Highly Cited Papers that perform in the top 1%. Dr. Wang’s h index is 53 (Google Scholar)/ 49(Scopus)/ 46 (WoS).
Rebecca Wright
Rebecca Wright is a professor in the Computer Science Department and Director of DIMACS at Rutgers. Her research spans the area of information security, including cryptography, privacy, foundations of computer security, and fault-tolerant distributed computing, as well as foundations of networking. She is a member of the board of the Computer Research Association's Committee on the Status of Women in Computing Research (CRA-W).
Longzhi Yang
Longzhi Yang is the Director of Education and an Associate Professor (Reader) in the Department of Computer and Information Sciences at Northumbria University, U.K. He is the founding Chair of the IEEE Special Interest Group on Big Data for Cyber Security and Privacy. His research in the filed of AI, robotics, cyber security, and digital forensics has been supported by multiple research councils, charity organisations, and the industry. He is a Senior Member of IEEE, a professional member of British Computer Society, and a Senior Fellow of Higher Education Academy of United Kingdom.
Yue Zhang
Yue Zhang is an assistant professor at Drexel University’s Computer Science department. His research primarily focuses on system security, specifically in the areas of IoT Security and mobile security. He has published more than 40 papers in security conferences (e.g., USENIX Security, ACM CCS, and NDSS) and journals (e.g., TDSC, TPDS). He received a Best Paper Honorable Mention Award at ACM CCS 2022, and the Best Paper Award at 2019 IEEE International Conference on Industrial Internet. He has also served on the organization committees of the conferences (e.g., general chair of EAI ICECI, track chair for IEEE MSN and IEEE MASS) and technical program committee of the conferences (e.g., USENIX Security, NDSS, ACM CCS, RAID). He serves as an Associate Editor for IEEE T-IFS, HCC and Editor Member of the Blockchain Journal, Electronics Journal, and CMC. His research had led to the discovery of many vendor-acknowledged vulnerabilities, such as by Bluetooth SIG, Apple, Google, and Texas Instruments, and had attracted intense media attention such as Hacker News, and Mirage News.
Huiyu Zhou
Prof. Huiyu (Joe) Zhou received a Bachelor of Engineering degree in Radio Technology from Huazhong University of Science and Technology of China and a Master of Science degree in Biomedical Engineering from University of Dundee of United Kingdom, respectively. He was awarded a Doctor of Philosophy degree in Computer Vision from Heriot-Watt University, Edinburgh, United Kingdom.
Prof. Zhou currently heads the Applied Algorithms and AI (AAAI) Theme and leads the Biomedical Image Processing Lab at University of Leicester. He was the Director of MSc Programme (2018-19), and currently is the Coordinator of MSc Distance Learning and a Member of Research Committee at School of Informatics. Prior to this appointment, he worked as a Lecturer (2012-17) at the School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast.
Prof. Zhou has published widely in the field. He was the recipient of "CVIU 2012 Most Cited Paper Award", "MIUA 2020 Best Paper Award", "ICPRAM 2016 Best Paper Award in the Area of Applications" and was shortlisted for "ICPRAM 2017 Best Student Paper Award" and "MBEC 2006 Nightingale Prize".