Advisory Board and Editors Data Mining & Machine Learning
Sharif S Aly
As a veterinary epidemiologist I specialize in dairy cattle infectious diseases and welfare. I received my veterinary medicine degree from Cairo University (1998), practiced for two years before completing the Food Animal Production Medicine Internship at the Caine Veterinary Teaching Center at the U of Idaho, followed by the Food Animal Reproduction and Herd Health Residency at U of California, Davis. I completed my masters and doctoral degrees at UC Davis in Preventive Veterinary Medicine and Epidemiology, respectively.
Diego R Amancio
Diego Raphael Amancio is an Associate Professor at University of São Paulo (Brazil). His research interest includes complex networks, machine learning, data mining, science of science, scientometrics, natural language processing and complex systems.
Chintan Amrit
Chintan Amrit is an Associate Professor at the Department of Business Analytics, at the University of Amsterdam. He has completed his PhD from the University of Twente in the area of Coordination in Software Development, having started it at RSM Erasmus University. He holds a master’s degree in Computer Science from the Indian Institute of Science, Bangalore. In the past, he has worked for three years as a software engineer. His research interests are in the area of business intelligence (using machine learning), open-source development and mining software repositories and applying analytics in projects that focus on the UN’s sustainable development goals. He serves as a department editor of IEEE Transactions in Engineering Management, coordinating editor of Information Systems Frontiers journal, an associate editor of PeerJ CS journal, and is a regular track chair at ECIS.
Li-minn Ang
Li-minn Ang is currently the Professor of Electrical and Computer Engineering at the School of Science and Engineering at University of the Sunshine Coast (USC). His research interests are in computer, electrical and systems engineering including Internet of Things (IoT), intelligent systems and data analytics, machine learning, visual information processing, embedded systems, wireless multimedia sensor systems, reconfigurable computing (FPGA) and the development of innovative technologies for real-world systems including smart cities, engineering, agriculture, environment, and health.
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
Claudio A Ardagna
Claudio A. Ardagna is a Full Professor and Vice Director of the Data Science Research Center at Università degli Studi di Milano. He has been visiting scholar at George Mason University, Fairfax, VA, USA and at Khalifa University, Abu Dhabi, UAE. His areas of interest include Big Data Analytics-as-a-Service, Edge/Cloud security and performance, security assurance and certification of distributed and cyber-physical systems, machine learning model verification. In these areas, he published more than 30 journal papers, 100 book chapters and refereed articles in proceedings of international conferences, and 10 books as an author or editor. He is co-author of the book “Open Source Systems Security Certifications” (with E. Damiani, N. El Ioini, Springer, 2008), co-inventor of the European Patent titled “Method, System, Network and Computer Program Product for Positioning in a Mobile Communications Network”, and co-founder of Moon Cloud (www.moon-cloud.eu), a spin-off of the Università degli Studi di Milano. He is an IEEE Senior Member, has been a recipient of International Federation for Information Processing (IFIP) Silver Core Award “in recognition of outstanding services to IFIP” in 2013, and has been recipient of the ERCIM (European Research Consortium for Informatics and Mathematics) WG STM 2009 Award for the Best Ph.D. Thesis on Security and Trust Management.
Avelino F Arellano
Associate Professor of Data Assimilation and Atmospheric Chemistry at the Department of Hydrology and Atmospheric Sciences, University of Arizona (UA). He is also a faculty member of the following UA Graduate Interdisciplinary Programs (GIDP): Remote Sensing and Spatial Analysis and Applied Mathematics.
His research focuses on investigating human fingerprints in the atmosphere. His research combines numerical models and observations to study atmospheric constituents, especially those emitted from combustion-related activities, and how these constituents affect air quality, weather, climate, and our environment.
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.
Álvar Arnaiz-González
Dr. Álvar Arnaiz-González is an Associate Professor within the Department of Computer Science at the University of Burgos.
His main research interests include Machine Learning, Data Mining, ensemble classifiers and instance selection.
Muhammad Asif
Dr Muhammad Asif is currently working as Chairman, Department of Computer Science and Tenured Associate Professor of Computer Science. He served as Director of Graduate Studies and Research at NTU. 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.
Doğan Aydın
Doğan Aydın is a professor in the Department of Computer Engineering at Izmir Katip Çelebi University. He is particularly interested in swarm intelligence and optimisation techniques, as well as deep learning and computer vision. He has several publications in high impact journals in related fields.
He holds a PhD degree in Computer Engineering from Ege University and was a visiting researcher at the Artificial Intelligence research laboratory of IRIDIA, Université Libre de Bruxelles for two years. He is currently continuing his academic studies and also provides consultancy services to private sector companies in the field of artificial intelligence.
Burcu Bakir-Gungor
Burcu Bakir-Gungor received her B.Sc. degree in Biological Sciences and Bioengineering from Sabanci University; her M.Sc. degree in Bioinformatics from Georgia Institute of Technology; and her PhD degree from Georgia Institute of Technology/Sabanci University. She worked at the Bioinformatics Research Center, Medical College of Wisconsin, from 2007-2009. From 2009 to 2011, she worked at the Department of Computer Engineering, Bahcesehir University. Then, she worked as an Assistant Professor at the Department of Genetics and Bioinformatics, at the same university. From 2012 to 2013, she was part of the Advanced Genomics and Bioinformatics Research Center, UEKAE, BILGEM, TUBITAK. Now, she works as an Associate Professor at the Department of Computer Engineering at Abdullah Gul University. In 2022, she received a prestigious award called the L‘ORÉAL – UNESCO National Fellowship for Women in Science Programme. She is the recipient of ‘‘Best Paper’’ awards at the UBMK 2020 and 4th EvoBIO Conferences. She acted as a member of the bioinformatics advisory board of the Turkish Genome Project. She is an editorial board member of PeerJ journal; the reviewer of several prestigious international journals including Bioinformatics, Machine Learning, Journal of Computational Biology; and she is the Technical Program Committee member of UBMK and HIBIT conferences. Her research interests include bioinformatics, computational genomics, metagenomics, multi-omics, network and pathway-oriented analyses, next-generation sequencing data analysis; and applications of machine learning, data mining and pattern recognition in bioinformatics.