Advisory Board and Editors Computer Networks & Communications
Rossano Schifanella
Rossano Schifanella is an associate professor of computer science at the University of Turin and a researcher at ISI Foundation, where he is a member of the Data Science for Social Impact and Sustainability group. His research embraces the creative energy of a range of disciplines across machine learning, urban science, computational social science, complex systems, and data visualization. He leverages data-driven approaches to model the behavior of (groups of) individuals and their interactions in space and time, aiming at understanding the interplay between online and offline social behavior. He is passionate about understanding the dynamics of complex phenomena in modern cities and building interactive web interfaces to explore urban spaces and access human knowledge through geography.
Elad Michael Schiller
Elad Michael Schiller received his M.Sc., and B.Sc. in Mathematics and Computer Science from Ben-Gurion University of the Negev, Israel and a Ph.D. in Computer Science from the same university. His research excellence has been acknowledged by several highly competitive research fellowships from the Israeli government and the Swedish government. He is now an associate professor in the Department of Computer Science and Engineering at Chalmers University of Technology. Elad has published in top-tier venues (including PODC, DISC, OPODIS, SPAA, SRDS, ICDCN, IEEE-TMC, IEEE-TPDS and Acta Inf.). He has co-authored more than 50 conference and journal papers. He served on the program committees for several international conferences, including PODC, DISC, SSS, ICDCN and AlgoSensors. His research interests include distributed computing, with special emphasis on self-stabilizing algorithms, wireless communications and the application of game theory to distributed systems.
Henning Schulzrinne
Prof. Henning Schulzrinne, Levi Professor of Computer Science at
Columbia University, received his Ph.D. from the University of
Massachusetts in Amherst, Massachusetts. MTS at AT&T Bell
Laboratories; associate department head at GMD-Fokus (Berlin),
before joining the Computer Science and EE departments at Columbia
University. He served as chair of Computer Science from 2004 to 2009 and
as Chief Technology Officer of the Federal Communications Commission (FCC)
from 2012 until 2014.
Chan Hwang See
Dr. Chan H. See received a first class B.Eng. Honours degree in Electronic, Telecommunication and Computer Engineering and a Ph.D. degree from the University of Bradford, UK respectively. He is a Professor in School of Computing, Engineering and the Built Environment, Edinburgh Napier University, UK. Previously (2019-2022), he was the Head of Electrical Engineering and Mathematics within School of Engineering and the Built Environment, in the same University. Prior to this, he was a Senior Lecturer (Programme Leader) in Electrical & Electronic Engineering, School of Engineering, University of Bolton, UK. Before this, he was a Senior Research Fellow in the Antennas and Applied Electromagnetics Research Group within the University of Bradford. His research interests cover wireless sensor network system design, wireless power transfer, Internet of Things (IoTs), sensor technologies, computational electromagnetism, antennas and Bioelectromagnetics. He has published over 300 peer-reviewed journal articles and conference papers in the areas of antennas, computational electromagnetics, microwave circuits, acoustic sensors and wireless sensor system designs. He is a co-author for one book and three book chapters. He was a recipient of two Young Scientist Awards from the International Union of Radio Science (URSI) and Asia-Pacific Radio Science Conference (AP-RASC) in 2008 and 2010, respectively. Dr. See is a Chartered Engineer (CEng), Fellow of the Institution of Engineering and Technology (FIET) and senior member of IEEE (SMIEEE). He is also a Fellow of the Higher Education Academy, an EPSRC full college member, Associate Editor for IEEE Access, Scientific Reports, Frontiers in Antennas Propagations, Peerj Computer Science and Wireless Power Transfer journals.
Syed Hassan Shah
Syed Hassan Shah is a Wi-Fi connectivity subject matter expert with the Qualcomm Inc. product management team, where he is involved in Consumer and Compute Wireless products with a focus on Mi-Fi, CPE, and UWB technologies. In addition to that, Dr. Shah is also an adjunct faculty member at California State University, Fullerton Campus, where he teaches computer science courses to graduate classes. Over the past decade, Dr. Shah held multiple industrial & academic roles such as a Product Specialist for Distributed Antenna Systems (DAS), CBRS, Private LTE, Digital Electricity, and open RAN product lines. Dr. Shah was an Assistant Professor in the Department of Computer Science at Georgia Southern University, USA followed by a Post-Doctoral Fellowship at the University of Central Florida, Orlando, USA. Before moving to the United States, he completed his BS with honors in CS from Kohat University of Science & Technology (KUST), Pakistan, and his Ph.D. Degree (combined with Masters) from the School of Computer Science and Engineering (SCSE), Kyungpook National University (KNU), Republic of Korea (South Korea). During the summer of 2015, he was invited as a distinguished visiting researcher at Georgia Tech, Atlanta, USA to investigate MAC layer findings in IEEE 1609.4 protocol stacks. Overall, Dr. Shah has authored/co-authored over 250 peer-reviewed international publications including Journal articles, Conference Proceedings, Book Chapters, and 05 books. In 2016, his work on robust content retrieval in future vehicular networks won the Qualcomm Innovation Award at KNU, South Korea. Dr. Shah's research interests include Wireless and Ad hoc Networks, Cyber-Physical Systems, Smart Cities, Connected Vehicles, and Future Internet architectures.
Furthermore, Dr. Shah is a Senior IEEE and ACM member, served as a TPC Member or Reviewer in over 100 International Conferences and Workshops including IEEE Globecom, IEEE ICC, IEEE CCNC, IEEE ICNC, IEEE VTC, IEEE INFOCOM, ACM CoNEXT, ACM MobiHoc, ACM SAC, and many more. Furthermore, he has been reviewing papers for over 50 different International Journals including IEEE Magazines on Wireless Communications, Networks, Communications, IEEE Communications Letters, IEEE Sensors Letters, IEEE Transactions on Industrial Informatics, and Vehicular Technologies, Intelligent Transportation Systems, Big Data, and Mobile Computing. Moreover, Dr. Shah has been an editorial member of more than 60 Special Issues with top-ranked journals in Communication Society and served as an editorial board member of KSII Transactions on Internet & Information Systems, Wiley's Internet Technology Letters, Transactions on Emerging Telecommunications Technologies, IEEE Newsletters on Internet Initiative, Future Directions, and Software Defined Networks. Dr. Shah has been an appointee of the Board of Governors of the IEEE Vehicular Technology Society as liaison to IEEE Young Professionals society for the year 2018-2019. Since 2018, he is also an ACM Distinguished Speaker.
Chakchai So-In
Chakchai So-In is a Professor of Computer Science with the Department of Computer Science, College of Computing, Khon Kaen University (KKU), Khon Kaen, Thailand. He earned his B.Eng. and M.Eng. degrees from Kasetsart University (KU), Bangkok, Thailand, in 1999 and 2001, respectively, and his M.S. and Ph.D. degrees from Washington University in St. Louis (WUSTL), Missouri, USA, in 2006 and 2010, all in Computer Engineering. He interned with Cisco Networking Academy (CNAP) at Nanyang Technological University (NTU) in Singapore, Cisco Systems (Silicon Valley, USA), WiMAX Forums (USA), and Bell Labs (Alcatel-Lucent, USA). His research focuses on Computer Networking, Internet technology, Wireless and Mobile Networks, Internet of Things (IoT), Mobile Computing, Wireless Sensor Networks, Cybersecurity, Cyber-physical Systems, and Applied Artificial Intelligence (AI). Dr. So-In serves as an associate editor for IEEE Transactions on Automation Science and Engineering (ASE), IEEE Access, Scientific Reports, PLoS ONE, Wireless Networks, PeerJ (Computer Science) as a section editor as well as ECTI-CIT. He has also contributed as the TPC Chair/Co-Chair for WiMob, ICSEC, JCSSE, and KST; and as a committee member/reviewer for many journals/publishers like IEEE, ACM, Elsevier, Springer, Wiley, IET, IEICE, and ETRI, as well as for conferences such as GLOBECOM, ICC, VTC, WCNC, ICNP, ICNC, and PIMRC. He has authored/coauthored over 150 international publications, including some in IEEE JSAC, IEEE TCCN, IEEE/CAA, IEEE Commun./Wireless Commun. Magazines, IEEE IoT J., IEEE System J., OJCOMM, Access, JNCA, COMNET, FGCS, IoT, MONET, WN, PMC, PPNA, ESWA, and ASC; and 10 books, including Mobile & Wireless Networks with IoT, Computer Network, and Network Security Labs. He is also a senior member of IEEE and ACM.
My research group website is: https://csperson.kku.ac.th/ant
Arun K Somani
Arun K. Somani research interests are fault tolerant computing and networking systems, scalable architectures and algorithms for WDM optical networks and parallel computer system architecture. He is active in professional society activities. He has served as an IEEE distinguished visitor and tutorial speaker. He was elected as a Distinguished Engineer of ACM in 2006, a Fellow of IEEE for his contributions to theory and applications of computer networks in 1999, and a fellow of AAAS in 2012.
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.
Kezhi Wang
Kezhi Wang received his Ph.D. degree from the University of Warwick, U.K. He was a Senior Research Officer in University of Essex, U.K. Currently He is a Senior Lecturer with Department of Computer Science, Brunel University, U.K.
Jingzhe Wang
Jingzhe Wang received his Ph. D in Cartography and Geographic Information System from Xinjiang University, Urumqi, China, in 2019. He is now working as a research associate at MNR Key Laboratory for Geo-Environmental Monitoring of Great Bay Area, Shenzhen University. His research interests focus on Earth observation and remote sensing, spectral modeling, quantitative estimation of soil properties, digital soil mapping, GIS, spatial analysis, and environmental sustainability. He has published over 60 papers in peer-reviewed international journals in these related research areas and has served as a reviewer for many journals and conferences including Remote Sensing of Environment, Ecological Indicators, Computers and Electronics in Agriculture.
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.