Advisory Board and Editors Neural Networks
Ghufran Ahmad
Ghufran Ahmad's research focuses on microeconomic theory specifically dealing with resource allocation, social choice, and matching problems. He is currently working as an Assistant Professor at NUST Business School, Pakistan.
He received his B.Sc. (Hons) in Economics from Lahore University of Management Sciences, Pakistan in 2012. After that, he joined Texas A&M University in College Station, TX, USA to pursue his Ph.D. in Economics, completing it in 2017 under the supervision of Dr. Guoqiang Tian and Dr. Vikram Manjunath.
Irfan Ahmad
Dr. Irfan Ahmad is an Assistant Professor in Information and Computer Science department at King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Saudi Arabia. He received his PhD in Computer Science from TU Dortmund, Germany in 2017.
Dr. Ahmad's research interests are in the areas of pattern recognition especially in document-image analysis, handwriting recognition, and machine-printed text recognition. In addition, he is also interested in machine learning and its applications including deep learning and natural language processing (NLP).
Héctor Alaiz Moretón
Héctor Alaiz-Moretón received his degree in Computer Science, performing the final Project at Dublin Institute of Technology, in 2003. He received his PhD in Information Technologies in 2008 (University of Leon). He has worked as a lecturer since 2005 at the School of Engineering at the University of Leon.
His research interests include knowledge engineering, machine and deep learning, networks communication, and security.
He has several works published in international conferences, as well as books, more than 90 scientific publications between JCR papers, Lecture Notes and Scientific Workshops. He has been a member of scientific committees in conferences. He has headed several PhD Thesis and research competitive projects. He is also the vice main of RIASC (Institute of Applied Sciences to Cybersecurity).
Vicente Alarcon-Aquino
Vicente Alarcon-Aquino received his Ph.D. and D.I.C. degrees in Electrical and Electronic Engineering from Imperial College London, London, U.K. in 2003. He is currently a Professor and former department head in the Department of Computing, Electronics, and Mechatronics at the Universidad de las Americas Puebla, Mexico. In 2017, he spent a short-term research stay as a Visiting Senior Research Fellow in the Department of Informatics at King's College London, UK. He has authored over 180 research articles in several refereed journals and conference proceedings, has written a book on MPLS networks, and has several citations to his research articles. He has served as Guest Editor for the Journal of Universal Computer Science, and is currently acting as an Associate Editor for IEEE Access Journal and as an Academic & Section Editor for PeerJ Computer Science. He is a Senior Member of IEEE, belongs to the Mexican National System of Researchers, and has been elected to membership of the Mexican Academy of Sciences. His current research interests include cybersecurity, network monitoring, anomaly detection, wavelet analysis, and machine learning.
Bilal Alatas
Prof. Alatas received his B.S., M.S., and Ph.D. degrees from Firat University. He works as a Professor of Software Engineering at Firat University and he is the head of same department. He is the founder head of the Computer Engineering Department of Munzur University and Software Engineering Department of Firat University. His research interests include artificial intelligence, data mining, social network analysis, metaheuristic optimization, and machine learning. Dr. Alatas has published over 250 papers in many well-known international journals and proceedings of the refereed conference since 2001. He has been editor of twelve journals five of which are indexed in SCI and reviewer of seventy SCI-indexed journals.
Giovanni Angiulli
Giovanni Angiulli received the Laurea (Master's degree) in Computer Science Engineering from the University of Calabria (Italy) and the Dottorato di Ricerca (PhD degree) in Electronics and Computer Science Engineering from the University of Napoli Federico II, Italy, in 1993 and 1998, respectively. Since 1999, he has been with the Department of Information, Infrastructures, and Sustainable Energy (DIIES, formerly DIMET) at the University Mediterranea of Reggio Calabria, Italy, as an Adjunct Professor. His main research activities concern Computational Electromagnetics, Group Theory methods, and Surrogate ModellingTechniques applied to model microwave circuits and antennas. He also worked on microwave imaging to detect female breast tumors and Ground Penetrating Radar applications in cultural heritage in the last years. He is a Senior Member of IEEE (2015) and a Member of IEICE (2013). In addition, he serves as an Associate Editor for IEEE Access. In recognition of his exceptional contributions, he has been honoured as an Outstanding Associate Editor for 2018 by the IEEE Access Editorial Board. He served as a Guest Editor for Mathematics (MDPI) Special Issue on “Surrogate modeling and related methods in science and engineering” (2021).
Muhammad Asif
Dr Muhammad Asif is currently working as Director, Graduate Studies and Reserach and Tenured Associate Professor of Computer Science. He also served as Chairman of the Department of Computer Science at National Textile University, Faisalabad, till November 04, 2020. Before this, he was a research scholar in the Computer Science and Information Management Department at the Asian Institute of Technology, Thailand. He received his MS and Ph.D. from AIT in 2009 and 2012 on HEC foreign Scholarship. Over the time, he was a visiting researcher at the National Institute of Information Tokyo, Japan, where he worked on the design and development of a data collection system for infectious diseases through modern technologies. He has also worked on a very important project of the Pakistan Air Force (PAF) related to Pakistan's Air Traffic Control System. He was mainly involved in the architectural design of the systems as a software engineer. Asif is actively involved in teaching research and administration activities at the national textile University Faisalabad. He has Two PhD students who graduated in his credit and fifty-five plus MS and BS level students. He has won funded projects of more than Three Hundred (300) million from National and International funding agencies. He enjoys more than 200 impact factors from his research publications in top-class computer science journals and allied domains. He is also serving as Associate Editor of many top journals of computer science, namely, IEEE Access (IF 3.37), PlosOne (IF 3.752), Peerj Computer Science (IF 2.41), CMC (IF 3.77) and Frontiers in Communications and Networks. He is a reviewer of several reputed journals and authored a number of research papers in reputed journals and conferences. He is also a permanent member of the Punjab Public Service Commission (PPSC) as an advisor and program evaluator at the National Computing Education Accreditation Council (NCEAC) Islamabad.
Andrea Brunello
I am an Assistant Professor (tenure-track) at the Department of Humanities and Cultural Heritage (DIUM) of the University of Udine. In addition, I am part of the Data Science and Automatic Verification Laboratory, at the Department of Mathematics, Computer Science and Physics (DMIF) at the same University. As a figure straddling the two departments, I am part of the board of directors of the AI4CH Initiative, and I am interested in both practical aspects of Artificial Intelligence and philosophical issues. I am and have been a core member of several national and international projects with both institutional and corporate partners, such as u-blox, SAL Silicon Austria Labs, GAP srlu, and beanTech.
Aswani Kumar Cherukuri
Dr. Aswani Kumar Cherukuri is a Professor at Vellore Institute of Technology (VIT), India. His research interests include information security and machine learning. Aswani Kumar earned the Young Scientist Fellowship from Tamilnadu State Council for Science and Technology and was awarded the Inspiring Teacher Award from The Indian Express (India’s leading English daily newspaper). He has worked on various research projects funded by the Government of India’s Department of Science and Technology, the Department of Atomic Energy, and the Ministry of Human Resources Development. Aswani Kumar has published more than 150 refereed research articles in various national/international journals and conferences and is an editorial board member for several international journals. He is a Senior Member and distinguished speaker of the Association for Computing Machinery (ACM), a member of the Institute of Electrical and Electronics Engineers (IEEE), and Vice-Chair of the IEEE Taskforce on Educational Data Mining. Aswani Kumar earned a PhD in informational retrieval, data mining, and soft-computing techniques from VIT.
Giulia Cisotto
Giulia Cisotto is an Assistant Professor at the Department of Computer Science of the University of Milan-Bicocca (Milan, Italy) funded by the Italian Ministry of University and Research (PON "Innovation and Green" 2014-2020 action IV.6). She is member of the Modeling Uncertainty, Decisions and Interaction (MUDI) Lab, IEEE Senior member and GRIN member. Her research activity is mainly focused on the processing and modeling of complex systems via machine learning and deep learning techniques, with particular expertise in multi-dimensional time-series. She has always been collaborating with several companies and research hospitals to promote the impact of academic research into the Society. She is also active in the dissemination of science (as a member of the Association "La Via delle Scienze", Italy) and in the promotion of innovative teaching of science in the Academia.
Paulo Jorge Coelho
Paulo Coelho graduated in Electrical Engineering in 2004 from Coimbra University, obtained his Specialization Course in Automation and Control in 2007 by Coimbra University, and a Ph.D. in Informatics in 2019 by Trás-Os-Montes and Alto Douro University.
He is an Adjunct Professor at the Electrical Engineering Department at the School of Technology and Management of the Polytechnic University of Leiria, where he has mainly lectured Curricular Units in the areas of Microprocessors, Industrial Automation and Computer Vision since 2004.
Paulo Coelho is currently a Member of the Scientific-Pedagogical Committee for the Master's in Electrical and Electronic Engineering at Polytechnic of Leiria, and he was previously the course director. He is currently an integrated researcher at ROBiTECH (Advanced Robotics and Smart Factories) group, in the INESC Coimbra (delegation in Leiria). He is also a member of the Portuguese Engineers Order.
His research interests are focused on industrial automation, computer vision, biomedical imaging analysis, and the application of machine learning and deep learning in their research areas.
Shanmuga Sundar Dhanabalan
Dr. Shanmuga Sundar Dhanabalan is an accomplished researcher with a proven track record in designing, developing, and translating micro- and nano-scale devices. CIA’s primary objective is to advance the field of medical and healthcare by creating next-generation products that enhance quality of life and well-being, making a significant contribution to society. He is currently leading a team developing ‘wearable and connected sensors’ at RMIT University, focusing on materials, flexible and stretchable devices, wearables, optics, and photonics. CIA graduated with a Ph.D. in flexible electronics in June 2017. He secured a competitive Postdoctoral Fellowship from the Chilean government from 2018 to 2021. In 2021, he joined as a Research Fellow at RMIT University in Melbourne. CIA studies have led to 38 publications in referred international journals, 1 provisional patent, 1 Indian patent, 10 book chapters, and 7 books in progress as editor. He has presented at 19 national and international conferences. Several outcomes have been highlighted by scientific websites (such as Photonics Media, USA). CIA's research work has led to securing grants from Australian government research schemes, such as the Cooperative Research Centres Projects, the ARC Research Hub for Connected Sensors for Health, Victorian Medical Research Acceleration Fund, and the Advanced Manufacturing Growth Centre's Commercialisation Fund.