Advisory Board and Editors Internet of Things
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).
Lisu Yu
Lisu Yu received a Ph.D. degree at Key Laboratory of Information Coding and Transmission, Southwest Jiaotong University, Chengdu, China. He was a Visiting Scholar at the University of Arkansas, Fayetteville, AR, USA, and the University of Houston, Houston, TX, USA. He has served as the student activities chair of IEEE Communication Society Chengdu Chapter and several international conferences technical program committee (TPC) members, Section Chair, and Special Track Chair. He is now serving as an Area Editor of the Elsevier Physical Communication, Associate Area Editor of Journal of Electronics & Information Technology, and Editor of the Elsevier Computer Communications, PeerJ Computer Science, PLOS ONE, and Frontiers in Signal Processing for Communications, and a Managing Guest Editor of Elsevier Internet of Things and Cyber-Physical Systems, and IEEE Communications Society Technical Committee on Green Communications and Computing (TCGCC) and Signal Processing and Computing for Communications (SPCC) Members. He is a Senior Member of CIC. He is currently an associate professor in the School of Information Engineering, Nanchang University, China. His main research interests include advanced wireless communications (B5G/6G), machine learning, non-orthogonal multiple access (NOMA), ultra-dense network (UDN), unmanned aerial vehicle (UAV), visible light communication (VLC), and blockchain.
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.