Advisory Board and Editors Data Science
Oyelola A Adegboye
Dr. Oyelola Adegboye is a Principal Research Fellow and an Associate Professor of Biostatistics at the Menzies School of Health Research, Darwin, Australia. He has strong scholarly interests in biostatistics, spatial epidemiology, exposure science, neglected tropical diseases and global health.
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.
Irfan Ahmad
Dr. Irfan Ahmad is an Associate 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).
Iftikhar Ahmed
Dr. Ahmed is a Professor of Software Engineering at the University of Europe for Applied Sciences in Germany. His research interests lie in Responsible AI, Explainable AI, and Social Network Analysis. Dr. Ahmed holds a Ph.D. in Computer Science from Saarland University, Germany, and a Master's degree in the same field from Albert Ludwigs University of Freiburg, Germany.
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.
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.
Ilkay Altintas
Ilkay Altintas is a research scientist at SDSC, UCSD since 2001. She has worked on different aspects of data science and scientific computing in leadership roles across a wide range of cross-disciplinary projects. She is a co-initiator of and an active contributor to the open-source Kepler Workflow System, and co-author of publications at the intersection of scientific workflows, provenance, distributed computing, bioinformatics, sensor systems, conceptual data querying, and software modeling.
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.
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.