Advisory Board and Editors Artificial Intelligence
Rommel T J Ramos
The Rommel Ramos Professor of Bioinformatics of Federal University of Para (Brazil) affiliated member of Brazilian Science Academy and CNPq Researcher (level 1-D). Since 2008 works with genome assembly and RNA-Seq analysis, he is the leader of the bioinformatic development group of the Biologic Engineering Laboratory in Park of Science and Technology (Pará/Brazil).
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.
Ana Reyes-Menendez
PhD Cum-Laude and Extraordinary Award in Business Economics from Rey Juan Carlos University specialized in Neuromarketing and Digital Marketing. Post-doctoral Research stays in Universidade Portucalense, Universidade do Algarve and RCC at Harvard University.
Assistant Professor of the Department of Business at Rey Juan Carlos University. Research focused on Online Consumer Behavior, Information Science, Data Science for Business and Biometrics.
Nicolas P Rougier
I’m a full-time research scientist at Inria. This is a public scientific and technological establishment (EPST) under the double supervision of the Research & Education Ministry, and the Ministry of Economy Finance and Industry. I’m working at the frontier between integrative and computational neuroscience in association with the Institute of Neurodegenerative Diseases, the Laboratoire Bordelais de Recherche en Informatique, the University of Bordeaux and the CNRS. My research deals with decision-making, self-organization, spatial computing, artificial neural networks & open science.
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.
Aurora Saibene
Aurora Saibene is a Post Doctoral Research Fellow in Computer Science at the University of Milano-Bicocca, whose research activities are mainly focused on brain-computer interfacing, human-machine interaction, multimedia signal processing, and neuroinformatics.
She took her Bachelor's, Master's Degree, and PhD in Computer Science at the University of Milano-Bicocca in 2015, 2018, and 2022, respectively.
Her PhD thesis in Computer Science focused on the design of a Flexible Pipeline for Electroencephalographic Signal Processing and Management, wanting to provide a set of suggestions and technical procedures to pre-process, normalize, manage features, and classify a particularly tricky signal like the electroencephalographic one in different contexts. She has especially focused on the field of motor movement and imagery as well as on emotion recognition and she is now facing the challenge of employing wearable technologies with a multimodal approach to provide efficient and reliable brain-computer interfacing and human-centric systems in different fields of application.
Ismaila Temitayo Sanusi
Ismaila Temitayo Sanusi earned his doctorate from the University of Eastern Finland. He specializes in computer science education, with a focus on democratizing Artificial Intelligence (AI) and Machine Learning (ML) for young learners and beginners. His research spans international contexts and involves co-designing innovative, constructionist technologies and learning materials for K–12 students. He develops AI tools and competency models to support curriculum integration, along with educator training resources that introduce students to AI early; helping build an AI-ready workforce and future technology creators. He also serves on editorial boards and as a special issue editor for journals in computing, technology, and education.
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.
Yilun Shang
I am an Associate Professor in Computer and Information Sciences at Northumbria. I received my PhD degree in Mathematics from Shanghai Jiao Tong University. My research interest is in complex networks and systems.
Kamran Shaukat
Dr Kamran Shaukat is a Senior Learning Facilitator at Torrens University Australia and a researcher in the Centre for Artificial Intelligence Research and Optimisation. With more than 12 years of teaching and research experience, he specialises in artificial intelligence, machine learning, deep learning, cybersecurity, malware detection and health informatics. Kamran is recognised in the top 2% of researchers globally, with more than 75 peer-reviewed publications, four authored books, an h-index of 36 and over 5,600 citations. He has demonstrated excellence in curriculum development, PhD supervision and international academic collaboration, and is committed to leading industry-relevant programs and interdisciplinary research. Kamran holds a PhD in Computer Science and a Master of Science in Computer Science, and is a member of both ACM and IEEE.
Huashan Shi
Professor Shi Huashan is an Associate Professor at Sichuan University. His expertise is in the molecular biology of tumours and tumour transcriptomics. He is currently engaged in clinical and basic translational research, including tumour microenvironment and novel immunotherapeutic modalities, and research on the mechanisms and medical applications related to tumour cell vaccines.
Kaize Shi
Kaize Shi is with the Data Science and Machine Intelligence Lab, University of Technology Sydney. He has PhD degrees in computer science and computer systems, which are from the Beijing Institute of Technology, China, and the University of Technology Sydney, Australia. His research interests include natural language generation, social computing, cyber-physical-social systems, meteorological knowledge services, intelligent transportation, and artificial intelligence technology. He is the associate editor of IEEE Transactions on Computational Social Systems and academic editor of PeerJ Computer Science and Wireless Communications and Mobile Computing. He also served as a guest editor for the Information Fusion, International Journal of Distributed Sensor Networks, etc. He served as a program committee member for conferences of ACL, EMNLP, NeurIPS, SIGKDD, ICDM, etc. He is a member of the Artificial Intelligence Technical Committee of the China Meteorological Service Association.