Advisory Board and Editors Artificial Intelligence
Tomaso A Poggio
Tomaso A. Poggio, is the Eugene McDermott Professor at MIT and one of the most cited computational scientists. The citation for the 2009 Okawa prize mentions his “…pioneering research ranging from the biophysical and behavioral studies of the visual system to the computational analysis of vision and learning in humans and machines.” His recent work is on a theory of hierarchical architectures for unsupervised learning of invariant representations.
Kai Qin
Kai Qin received the Ph.D. degree from the Nanyang Technological University (Singapore) in 2007. After that, he worked at the University of Waterloo (Canada) and then INRIA (France) from 2007 to 2012. He joined the RMIT University (Australia) in 2012, first as a Vice-Chancellor’s research fellow and then promoted to a lecturer. His major research interests include evolutionary computation, machine learning, computer vision, GPU computing and service computing. He is an IEEE senior member.
Michela Quadrini
Current research is focused on Artificial Intelligence, Bioinformatics, Formal methods and Languages for the modelling, analysis and verification of Distributed Systems.
Waqar Shahid Qureshi
Dr. Waqar Shahid Qureshi is an applied AI researcher and engineer with over 22 years of professional experience across academia, research, and industry. His interdisciplinary expertise lies in artificial intelligence, computer vision, robotics, and intelligent sensing systems, with a strong emphasis on real-world deployment in precision agriculture, consumer electronics, and civil infrastructure.
Sivaramakrishnan Rajaraman
Dr. Sivarama Krishnan Rajaraman is working as a research scientist at the National Library of Medicine (NLM), National Institutes of Health (NIH). Dr. Rajaraman received his Ph.D. in Information and Communication Engineering from Anna University, India. He is involved in projects that aim to apply computational sciences and engineering techniques toward advancing life science applications. These projects involve the use of medical images for aiding healthcare professionals in low-cost decision-making at the POC screening/diagnostics. He is a versatile researcher with expertise in machine learning, data science, biomedical image analysis, and computer vision. He has more than 15 years of experience in academia where he taught core and allied subjects in biomedical engineering. He has authored several national and international journal and conference publications in his area of expertise. Dr. Rajaraman is an Editorial Board member of the PLOS ONE, PeerJ Computer Science, MDPI Knowledge, and MDPI Electronics journals. He is reviewing manuscripts for more than 75 journals including those published by Nature, LANCET, IEEE, MDPI, Elsevier, and other conferences including CVPR, EMBS, CBMS, and MICCAI. Dr. Rajaraman is a Life Member of the Society of Photo-optical Instrumentation Engineers (SPIE), a regular member of the Institute of Electrical and Electronics Engineers (IEEE), IEEE Engineering in Medicine & Biology Society (EMBS), and the Biomedical Engineering Society (BMES).
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.