Advisory Board and Editors Artificial Intelligence
Gui-Bin Bian
Gui-Bin Bian is a Professor of Robotics, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
Mauro Birattari
A Research Director of the Belgian Fonds de la Recherche Scientifique—FNRS at IRIDIA, Université libre de Bruxelles.
Dr. Birattari co-authored more than 100 peer-reviewed scientific publications in the field of computational intelligence. His research interests focus on swarm intelligence, collective robotics, machine learning, and on the application of artificial intelligence techniques to the automatic design of algorithms.
Grady Booch
Grady is recognized for his innovative work in software engineering. Grady is an IBM Fellow and has also been given the honor of Fellow for the Association for Computing Machinery and the Institute of Electrical and Electronics Engineers. He has been awarded the Lovelace Medal and has given the Turing Lecture on behalf of the British Computer Society. Author of six best-selling books, Grady has published hundreds of technical articles and has lectured extensively around the world.
Tossapon Boongoen
Dr Tossapon Boongoen obtained his PhD in Computer Science from Cranfield University, UK (in 2003), and his 2-year PostDoc in Aberystwyth University, UK (2007-08). His research interest includes AI, machine/deep learning, image analysis and pattern recognition, fuzzy systems and security. He serves as an Associate Editor for several international journals like IEEE Access.
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.
Alberto Cano
Alberto Cano is an Associate Professor with the Department of Computer Science, Virginia Commonwealth University, Richmond, Virginia, United States, where he heads the High-Performance Data Mining laboratory. His research is focused on machine learning, data mining, big data, evolutionary computation, general-purpose computing on graphics processing units, and distributed computing.
Jinde Cao
Jinde Cao (Fellow, IEEE) received the B.S. degree from Anhui Normal University, Wuhu, China, the M.S. degree from Yunnan University, Kunming, China, and the Ph.D. degree from Sichuan University, Chengdu, China, all in mathematics/applied mathematics, in 1986, 1989, and 1998, respectively. He was a Postdoctoral Research Fellow at the Department of Automation and Computer-Aided Engineering, Chinese University of Hong Kong, Hong Kong, from 2001 to 2002.
Professor Cao an Endowed Chair Professor, the Dean of the School of Mathematics and the Director of the Research Center for Complex Systems and Network Sciences at Southeast University (SEU). He is also the Director of the National Center for Applied Mathematics at SEU-Jiangsu of China and the Director of the Jiangsu Provincial Key Laboratory of Networked Collective Intelligence of China. Prof. Cao was a recipient of the National Innovation Award of China, Obada Prize and the Highly Cited Researcher Award in Engineering, Computer Science, and Mathematics by Clarivate Analytics. He is elected as a member of Russian Academy of Sciences, a member of the Academy of Europe, a member of Russian Academy of Engineering, a member of the European Academy of Sciences and Arts, a member of the Lithuanian Academy of Sciences, a fellow of African Academy of Sciences, and a fellow of Pakistan Academy of Sciences.
Jyotismita Chaki
Jyotismita Chaki, PhD. is an Associate Professor in School of Computer Science and Engineering at Vellore Institute of Technology (VIT University), Vellore, India. She has done her PhD (Engg) from Jadavpur University, Kolkata, India. Her research interests include: Computer Vision and Image Processing, Pattern Recognition, Medical Imaging, Soft computing, Artificial Intelligence and Machine learning. She has authored and edited many international conferences, journal papers and books. Currently she is the editor of Engineering Applications of Artificial Intelligence Journal, Elsevier, academic editor of PLOS ONE journal and associate editor of Array journal, Elsevier, IET Image Processing and Machine Learning with Applications journal, Elsevier.
Ran Cheng
Dr. Ran Cheng is currently an Assistant Professor with the Department of Computer Science and Engineering, Southern University of Science and Technology, China. Previously, he was a Research Fellow (2016-2018) with the School of Computer Science, University of Birmingham, U.K. He received the PhD degree in computer science from the University of Surrey, U.K His main research interest is Artificial / Computational Intelligence based learning, modeling and optimization. He serves as an Associated Editor for IEEE Transactions on Artificial Intelligence (2020-) and IEEE Access (2018-), and an Editorial Board Member for Applied Soft Computing (2018-) and Complex & Intelligent Systems (2017-). He is the recipient of the IEEE Transactions on Evolutionary Computation Outstanding Paper Award (2018), the IEEE CIS Outstanding PhD Dissertation Award (2019), the IEEE Computational Intelligence Magazine Outstanding Paper Award (2020), and the IEEE Transactions on Evolutionary Computation Outstanding Paper Award (2021).
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.
Davide Chicco
Davide Chicco is a scientific researcher at the University of Toronto. He received his PhD. from Politecnico di Milano in 2014, and his MSc. in Computer Science from the University of Genoa, Italy in 2010. From September 2018 to January 2020 he was a researcher at the University Health Network (Toronto, Ontario, Canada). Davide Chicco's research centres on biomedical informatics and machine learning.
Angelo Ciaramella
Angelo Ciaramella received the Laurea degree (cum laude) in Computer Science and he is Full Professor at the University of Naples “Parthenope”. The main research interests of Angelo Ciaramella are Soft Computing, Machine Learning and Data Mining. In particular he is interested in statistical and Machine Learning approaches for Blind Source Separation, Sparse Coding, Compressive Sensing and Dictionary Learning, for signal processing (i.e., audio, streaming, astrophysical and geological) and feature extraction. Moreover, he has been working on fuzzy and neuro-fuzzy systems for structured and unstructured data. Recently, he is interested for developing Fuzzy Decision Support Systems in risk assessment. He also studied and developed new methodologies for pre-processing, clustering, visualization and assessment of biological, air quality and social network data (e.g., twitter). Recently, he is also interested in signal processing by Deep Learning methodologies in Brain Computer Interfaces. He is associate editor of international journals (i.e., Information Sciences, Soft Computing, International Journal on Artificial Intelligence Tools). He has been co-general Chair (BBCC2023, ITADATA2023, PDP2023, IDCS2019), technical chair (CIBB2018) and organizer chair of Special Sessions. He is in the Program Committee of international conferences. He is a Fellow Member of IEEE and member IEEE Computational Intelligence Society, IEEE Signal Processing, SIREN, GIRPR, AIxIA.