Advisory Board and Editors Computer Vision
Rajeev Agrawal
Big data Analytics, Cloud Computing, Topic Modelling, and Geo Spatial information systems. Member of IEEE, ACM, and ASEE. Published more than 100 referred journal and conference papers and 4 book chapters.
Hazrat Ali
Hazrat Ali is a researcher in Artificial Intelligence and Healthcare. He served as an Assistant Professor at Department of Electrical and Computer Engineering, COMSATS University Islamabad, Abbottabad Campus, Abbottabad. His research interests lie in unsupervised learning, generative and discriminative approaches, medical imaging and speech and image processing. He has published more than 50 research articles in peer-reviewed journals and conferences. He is an Associate Editor at IEEE and served as a reviewer at many journals and conferences including IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Medical Imaging, IET Signal Processing, Springer Neural Processing Letters, ACM Transactions on Asian and Low Resource Language Information Processing, Elsevier Computers and Electrical Engineering, ACL 2020, MICCAI 2020. He was selected as young researcher at the 5th Heidelberg Laureate Forum, Heidelberg, Germany. He was selected as a fellow of the DAAD AI-Networking Fellowship Tour 2021.
Syed M. Anwar
Associate Professor at the Department of Software Engineering, University of Engineering and Technology, Taxila. PhD from University of Sheffield, UK and Fulbright Fellow at University of Central Florida, USA
Ignacio Arganda-Carreras
Ignacio Arganda-Carreras (Madrid, 1980) is a European PhD in Computer Engineering and Telecommunications by the Autonomous University of Madrid and holds a BSc in Computer Engineering from the same university. He took postdoctoral studies at the department of Brain and Cognitive Sciences of the Massachusetts Institute of Technology from 2009 to 2013 and at the Jean-Pierre Bourgin Institute of the Institut National de la Recherche Agronomique, Versailles, from 2013 to 2015.
During his doctorate studies he carried out research stays at the Lawrence Berkeley National Laboratory in Berkeley (California, 2002-2004), at the Centre for Machine Perception of the Technical University of Prague (2005) and at the Applied Medical Research Centre of the University of Navarra in Pamplona (2006). He has worked as a consultant for the Max Planck Institute of Cellular Biology and Genetics in Dresden (2009) and for the Institute of Neuroinformatics in Zurich (2009).
Since September 2015 he is an Ikerbasque Research Fellow at the Department of Computer Science and Artificial Intelligence of the University of the Basque Country.
Xianye Ben
Xianye Ben received a Ph.D. degree in pattern recognition and intelligent system from the College of Automation, Harbin Engineering University, Harbin, in 2010. She is currently working as a full Professor in the School of Information Science and Engineering, Shandong University, Qingdao, China. She has published more than 100 papers in major journals and conferences, such as IEEE T-PAMI, IEEE T-IP, IEEE T-CSVT, IEEE T-MM, PR, CVPR, etc. Her current research interests include pattern recognition and image processing. She received the Excellent Doctoral Dissertation award from Harbin Engineering University. She was also enrolled by the Young Scholars Program of Shandong University.
Mario Luca Bernardi
I received the Laurea degree in Computer Science Engineering from the University of Naples Federico II, Italy, in 2003 and the Ph.D. degree in Information Engineering from the University of Sannio in 2007.
Since 2003 I have worked as a researcher in the field of software engineering writing more than 90 papers published in journals and conference proceedings. My main research interests include software maintenance and testing, software reuse, software reverse engineering, and re-engineering, with a particular interest in software modularization.
I also served both as a member of the program and organizing committees of several international conferences, and as a reviewer of papers submitted to some of the main journals and magazines in the field of data and process mining, software engineering, software maintenance, program comprehension, and the application of computational intelligence approaches in the above fields.
Currently, I am an Senior Researcher at University of Sannio, holding the course of "Pervasive Computing".
Siddhartha Bhattacharyya
Dr. Siddhartha Bhattacharyya is currently serving as a Professor in the Department of Computer Science and Engineering of Christ University, Bangalore. He is a co-author of 5 books and the co-editor of 60 books and has more than 300 research publications in international journals and conference proceedings to his credit. He has got two PCTs to his credit. He has been a member of the organizing and technical program committees of several national and international conferences.
His research interests include hybrid intelligence, pattern recognition, multimedia data processing, social networks and quantum computing.
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.
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.
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 former course director and former member of the Scientific-Pedagogical Committee for the Master's in Electrical and Electronic Engineering at Polytechnic of Leiria. 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 and the Portuguese Association for Pattern Recognition.
His research interests are focused on industrial automation, computer vision-based applications, biomedical imaging analysis, ambient assisted living solutions, assistive technologies for reducing impairments, and the application of machine learning and deep learning in these research areas. He has authored more than 45 publications in refereed journals, book chapters, and conferences.
Antonio Jesus Diaz-Honrubia
Antonio J. Díaz-Honrubia is an Associate Professor at Universidad Politécnica de Madrid, to which he joined after holding an Assistant Professorship at Universidad de Oviedo and a part time Professorship at Universidad de Castilla-La Mancha (a job that he combined with a position in the R&D department of a private company in the telecommunications field).
He received his Ph.D. in 2016 from the Universidad de Castilla-La Mancha, where he had also received his B.Sc. (Spanish National Extraordinary Award) and M.Sc. in Computer Science and Engineering.
His research interests include video transcoding, perceptual video coding, multimedia standards, scalable video coding, and simultaneous video coding. More recently, he is moving forward to the topic of data analysis and validation.
He has been a visiting researcher at Ghent University (Belgium) for 4 months, the Florida Atlantic University (USA) for 3 months, and the Technische Informationsbibliothek (TIB) (Germany) for 6 months.
He has more than 30 publications in these areas in international refereed journals and conference proceedings.
Trang Do
Dr. Trang Do earned her PhD degree from the National University of Singapore in 2013. She is a proactive and motivated educator and data scientist, showcasing a track record of effectively managing expansive and intricate projects alongside engagements with stakeholders and government agencies. Her expertise spans data and computer science, coupled with a foundation in economics and bioinformatics, driving an ongoing pursuit of professional development. Her research interests encompass a wide scope within data science, intelligent systems, and interdisciplinary computing. Presently, her primary focus centers on machine learning, deep learning, explainable AI, data analysis, and visualization, particularly within the realms of health informatics, drug discovery, bioinformatics, tourism, and intelligent systems.