Advisory Board and Editors Artificial Intelligence
Björn W Schuller
Björn W. Schuller received his diploma in 1999, his doctoral degree in 2006, and his habilitation and was entitled Adjunct Teaching Professor in the subject area of Signal Processing and Machine Intelligence in 2012 all in electrical engineering and information technology from TUM in Munich/Germany. He is Full Professor and Chair of Complex and Intelligent Systems at the University of Passau/Germany and a Senior Lecturer (Associate Professor) in Machine Learning at Imperial College London/UK.
Bart Selman
Bart Selman is a Professor of Computer Science at Cornell University. His research interests include computational sustainability, efficient inference, planning, KR&R, and connections between CS and statistical physics. He has (co-)authored over 150 publications, including six best paper awards. He has received the Cornell Miles Excellence in Teaching Award, the Cornell Outstanding Educator Award, an NSF Career, and an Alfred P. Sloan Fellowship. He is a Fellow of AAAI, AAAS, and ACM.
Tavpritesh Sethi
Dr. Tavpritech Sethi is founding Head of Center of Excellence in Healthcare at IIIT-Delhi. Associate Professor in the Department of Computational Biology. Clinician Data Scientist. Fellow of the DBT/Wellcome India Alliance and the Kavli Foundation (National Academy of Sciences, USA).
Dr. Sethi specializes in improving outcomes in neonatal, child and maternal health by bridging medicine and artificial intelligence. His research is focused on development and deployment of machine-learning based solutions to enable decisions and policy in pressing healthcare questions such as antimicrobial resistance, sepsis and health inequalities in intensive care and public health settings.
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.
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.
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.
Reema Singh
A highly accomplished Computational Biologist and Bioinformatician with over 19 years of research expertise. My professional focus is on One Health bioinformatics, using pathogen transcriptomics and genomic surveillance to investigate and control infectious threats and antimicrobial resistance. My career has been marked by a strong track record of developing impactful tools and pipelines, including the Dlact antimicrobial resistance gene database and the Gen2Epi computational pipeline. Currently, as a Bioinformatician and Data Manager at the Vaccine and Infectious Disease Organization (VIDO), I apply my skills to analyze large-scale transcriptomics data and elucidate host-pathogen interactions in both human and animal populations
Florentin Smarandache
Florentin Smarandache, PhD, PostDoc, is an Emeritus Professor of Mathematics at the University of New Mexico, United States. He obtained his MSc in Mathematics and Computer Science from the University of Craiova, Romania, his PhD in Mathematics from the State University of Kishinev, and Postdoctoral in Applied Mathematics from Okayama University of Sciences, Japan, and The Guangdong University of Technology, Guangzhou, China.
Prof. Smarandache is the founder of neutrosophy (generalization of dialectics), neutrosophic set, logic, probability and statistics since 1995. He has published a substantial number of books and papers in peer-reviewed international journals on subjects including; neutrosophic physics, superluminal and instantaneous physics, unmatter, quantum paradoxes, absolute theory of relativity, redshift and blueshift due to the medium gradient and refraction index besides the Doppler effect, paradoxism, outerart, neutrosophy as a new branch of philosophy, Law of Included Multiple-Middle, multispace and multistructure, HyperSoft set, TreeSoft Set, IndetermSoft Set and IndetermHyperSoft Set, SuperHyperGraph, SuperHyperTopology, SuperHyperAlgebra, Neutrosophic SuperHyperAlgebra, degree of dependence and independence between neutrosophic components, refined neutrosophic set, neutrosophic over-under-off-set, plithogenic set / logic / probability / statistics, neutrosophic triplet and duplet structures, quadruple neutrosophic structures, extension of algebraic structures to NeutroAlgebra and AntiAlgebra, NeutroGeometry & AntiGeometry, Dezert-Smarandache Theory and so on.
Prof. Smarandache has presented papers and plenary lectures to many international conferences around the world. In addition, he has published many books focusing on poetry, dramas, children’ stories, translations, essays, a novel, folklore collections, traveling memories, and art albums.
Othman Soufan
Assistant Professor, Alley Heaps Associate, Computer Science Department, St. Francis Xavier University. The Soufan Lab aims to advance life sciences by developing innovative methods, systems and resources for targeted knowledge discovery from biological data.
Giancarlo Sperlì
Giancarlo Sperlì is an assistant professor at the Department of Electrical Engineering and Information Technology of the University of Naples Federico II.
He obtained his PhD in Information Technology and Electrical Engineering at the same University defending his thesis: "Multimedia Social Networks".
He is a member of the Pattern Analysis and Intelligent Computation for Multimedia Systems (PICUS) departmental research groups. His main research interests are in the area of Cybersecurity, Semantic Analysis of Multimedia Data and Social Networks Analysis.
He has served as guest editor of different special issues on International Journals. Finally, he has authored about 118 publications in international journals, conference proceedings and book chapters.