Advisory Board and Editors Security & Privacy
Radia Perlman
Inventor of innovations that make today's network protocols scalable, robust, and self-organizing. In particular, link state routing, spanning tree, and TRILL. Also, innovations in security including distributed algorithms resilient against malicious participants, assured expiration of data from storage, and PKI trust models.
Awards
- National Inventors Hall of Fame induction (2016)
- Internet Hall of Fame induction (2014)
- SIGCOMM Award (2010)
- USENIX Lifetime Achievement Award (2006)
- Recipient of the first Anita Borg Institute Women of Vision Award for Innovation in 2005
- Silicon Valley Intellectual Property Law Association Inventor of the year (2003)
- Honorary Doctorate, Royal Institute of Technology (June 28, 2000)
- Twice named as one of the 20 most influential people in the industry by Data Communications magazine: in the 20th anniversary issue (1992) and the 25th anniversary issue (1997). Perlman is the only person to be named in both issues.
- Fellow of the Association for Computing Machinery, class of 2016
Shengchao Qin
Dr Shengchao Qin has been a Professor (Chair) of Computer Science since 2011.
He received his PhD in 2002 from Peking University. From July 2002 to December 2004, he was a Research Fellow under the Computer Science Programme in the Singapore-MIT Alliance, affiliated with National University of Singapore. He became a University lecturer in Durham University in January 2005. In June 2010, he joined Teesside University as a Reader and became a full Professor in June 2011. From August 2016 to September 2019, he also acted as the Associate Dean (Research & Innovation) for School of Computing, School of Computing, Media & the Arts, and then School of Computing & Digital Technologies.
Shengchao is a full member of the UK EPSRC Peer Review College and a member of the UKRI FLF (Future Leaders Fellowships) Peer Review College. He is also a senior member of IEEE and ACM.
Hemant Rathore
Hemant Rathore received his B.E. and M.E. in computer science from RGTU, India, and BITS Pilani, India, in 2010 and 2013, respectively. He is currently associated to Department of Computer Science and Information Systems at BITS Pilani, India; and has strong academic and industry research experience in the field of security, and currently works in the domain of adversarial learning and explainability in malware detection models based on machine learning and deep learning.
Hemant has published many research papers in various reputed SCI journals and CORE-ranked (A*, A, and B) conferences. He also won the prestigious K Shankar Meritorious Paper Award 2021 in the journal category. Hemant was selected to present his work in the 11 IDRBT Doctoral Colloquium 2021, and he received multiple travel and registration grants from a number of reputed conferences such as NDSS, IEEE INFOCOM, IEEE PerCom, IEEE S & P, IACR Eurocrypt, etc. Hemant has also been invited to various venues (e.g. BDA, TENCON, etc.) for invited tutorials, talks, and seminars.
His teaching credentials include taught courses in the areas of Network Security, Advanced Data Mining, and Data Mining to undergraduate and postgraduate students; in addition to guiding and supervising numerous students in short-term projects.
Hemant is a member of the IEEE and ACM.
Rowayda A. Sadek
Prof Rowayda A. Sadek is Professor of Network Engineering, Helwan University, Cairo, Egypt. She received her Ph.D. in Communication and Electronics, and Electrical Engineering from the Faculty of Engineering, Alexandria University, Egypt. Prof. Sadek is the founder and the Director of the Hub of Creativity and Scientific Research, Helwan University. She is URSI senior member and also the General Secretary, URSI – Egypt, IEEE member. Her research interest focuses on Network Engineering, Network Security, Wireless and Mobile Networking and Communication, Multimedia (signal, image, speech, video) Processing, Cloud Computing and the Internet of Things.
Kübra Seyhan
Kübra Seyhan received the B.Sc. degree in Computer Engineering from Karadeniz Technical University, in 2016, Trabzon, Turkey, M.Sc. degree in Computer Engineering from Ondokuz Mayıs University in 2020, and Ph.D. degree in Computational Sciences from Ondokuz Mayıs University in 2024, in Samsun, Turkey.
She is currently employed as a research assistant at the Department of Computer Engineering, Ondokuz Mayis University, Samsun, Turkey since 2018. She worked as a short-term research assistant at the Chair of Security and Theoretical Computer Science, University of Tartu between March, 1, 2023 and August 31, 2023, in Tartu, Estonia.
Her research interests are in the areas of cryptography, post-quantum cryptography, algorithms, IoT security, and cyber security.
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.
Mario Silic
Mario Silic brings over 30 years of international professional experience in senior management and consultancy roles. He has held leadership positions at global corporations including Epson, HP, Alcatel, Western Union, and Renault, and has advised prestigious organizations such as the City of Barcelona, AUDI, the City of Munich, and Ericsson.
He earned his PhD from the University of St. Gallen, Switzerland, where his research in cybersecurity was recognized and supported through multiple grants, including the GFF Project (2015), GFF Postdoctoral Fellowship (2016), and the Swiss National Science Foundation Postdoctoral Project Grant (2017). His scholarly work focuses on artificial intelligence, cybersecurity, information security, open-source software, and mobile technologies, with a notable contribution on mitigating insider computer abuse in cybersecurity contexts.
As an educator, Mario is passionate about bridging research and practice. He teaches a wide range of courses, including Cybersecurity, Applied AI and Machine Learning for Business, Data Analytics and Decision-Making, Programming, Project Management, Innovation Management, and Web Technologies. His teaching philosophy emphasizes practical application and preparing students to thrive in the fast-evolving digital economy.
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
Hamed Taherdoost
Dr. Hamed Taherdoost is a Full Professor and Chair of the RSAC at University Canada West, Canada. He also holds adjunct appointments as Adjunct Professor at Westcliff University, USA; Adjunct Professor and Thesis Supervisor at Gisma University of Applied Sciences, Germany; and Adjunct Professor at the Victorian Institute of Technology, Australia. In addition, he is a GUS Fellow with Global University Systems in the UK.
With over 20 years of combined experience in academia and industry, Dr. Taherdoost has worked and taught extensively across Southeast Asia, the Middle East, Australia, Europe, and North America, bringing a truly global perspective to his teaching, research, and editorial leadership.
He is a prolific scholar with more than 400 publications, including books, book chapters, and journal articles, in areas such as digital innovation, cybersecurity, blockchain, and technology adoption. His research impact is reflected in an h-index exceeding 55, and his textbooks on E-Business and Digital Transformation are adopted at universities worldwide.
Dr. Taherdoost is Series Editor of Mastering Academic Excellence (Routledge, Taylor & Francis) and the Quantum Computing series (Jenny Stanford Publishing). He serves on the editorial boards of several leading journals, including Frontiers in Research Metrics and Analytics, PLOS ONE, PeerJ Computer Science, and Discover Computing, and is Area Editor of the IEEE Canadian Journal of Electrical and Computer Engineering.
In addition, he has acted as guest editor, and advisory board member for journals published by Taylor & Francis, Springer, Elsevier, Emerald, IEEE, MDPI, IGI Global, and Inderscience. His global experience and editorial expertise reflect his commitment to advancing impactful scholarship across disciplines.
Bhavani Thuraisingham
Dr. Bhavani Thuraisingham is the Founders Chair Professor of Computer Science and the Executive Director of the Cyber Security Research and Education Institute (CSI) at The University of Texas at Dallas. She is an elected Fellow of ACM, IEEE, the AAAS, the NAI (National Academy of Inventors) and the British Computer Society
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).