Advisory Board and Editors Data Mining & Machine Learning
Marc-André Delsuc
Marc-André Delsuc activity is mostly oriented toward the use and improvement of spectroscopies, in particular NMR and more recently FT-MS. This includes new experiment design, development of data processing methods, development of software programs. I have been deeply involved in field as diverse as protein structural analysis, protein-ligand screening, complex mixture analysis, quantum mechanic details of the NMR phenomenon, automatic data analysis, fractal dimension of proteins and polymers, etc.
Peter Denning
Distinguished professor of computer science at Naval Postgraduate School. Past president of ACM. Past editor in chief of Communications of ACM. Currently editor of ACM Ubiquity. Author of ten books, most recent Great Principles of Computing (MIT Press 2015). Author of over four hundred scientific papers and articles.
Gopikrishna Deshpande
Prof. Gopikrishna Deshpande is a Professor of Electrical and Computer Engineering at Auburn University. He obtained his Ph.D. in Medical Imaging from Georgia Institute of Technology and his M.S. in Electrical and Computer Engineering from the Indian Institute of Science.
Prof. Deshpande's research interests and expertise include neuroimaging, functional magnetic resonance imaging (fMRI), brain connectivity, signal/image processing and machine learning.
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.
Gillian Dobbie
Gill worked in industry for a couple of years before doing research at the University of Melbourne, Victoria University of Wellington and the National University of Singapore. Her main areas of interest pertain to databases and the web. She has worked in the foundations of database systems, defining logical models for various kinds of database systems, and reasoning about the correctness of algorithms in that setting. She publishes her research in high ranking conferences and journals.
Ahmed Elazab
Ahmed Elazab received his Ph.D. degree in pattern recognition and intelligent system from Shenzhen Institutes of Advanced Technology, University of Chinese Academy of Sciences, China, Jan 2017. He was a postdoctoral research fellow from Jan 2018 to April 2020 at the School of Biomedical Engineering, Shenzhen University, Shenzhen, China where he is currently a research associate since Jan 2021. Dr. Elazab has authored and co-authored more than 50 peer-reviewed papers and has served as a reviewer in prestigious peer-reviewed international journals. His main research interests include machine and deep learning, medical image analysis, brain anatomy analysis, and computer-aided detection and diagnosis.
Charles P. Elkan
Professor of computer science at the University of California, San Diego, and also Amazon Fellow.
Andrea Esuli
Andrea Esuli is a senior researcher of the Italian National Research Council. His research interests are in the fields of multimedia information retrieval, machine learning, and text classification. He holds a PhD in Information Engineering from the University of Pisa. He is the recipient of the 2010 Cor Baayen Award, from the European Research Council for Informatics and Mathematics.
Michael Felderer
Prof. Michael Felderer is the Director of the Institute of Software Technology at German Aerospace Center (DLR) and full professor at the University of Cologne. His fields of expertise and interest include software testing and quality assurance, AI engineering, software systems engineering for quantum and digital twin technologies as well as empirical software engineering. He was a professor at the University of Innsbruck (Austria), guest professor at the Blekinge Institute of Technology (Sweden) as well as CEO of the academic spin-off QE LaB Business Services. His research is performed in close collaboration with organizations and companies, and directed towards the development and evaluation of efficient and effective methods to improve the quality, trustworthiness and value of software systems and processes. Michael Felderer has co-authored more than 150 publications and received 14 best paper awards. He is recognized by the Journal of Systems and Software (JSS) as one of the twenty most active established Software Engineering researchers world-wide in the period 2013 to 2020. For more information, visit his website at mfelderer.at.
Carlos Fernandez-Lozano
Dr. Carlos Fernandez-Lozano is an Associate Professor at the University of A Coruña (UDC). He is a biomedical data scientist with a deep interest in discovering the complex relationships between different biological levels. His research track is multidisciplinary as he is trained in computer science, machine learning, bioinformatics, and biostatistics. His research line is focused on how biological interactions are manifested at the disease level through the use, development, and application of kernel-based computational approaches that integrate different levels of biological data on the microorganism, gene, protein, and medical imaging axis.
Pedro G Ferreira
Pedro G. Ferreira graduated in Systems and Informatics Engineering from the University of Minho in 2002 and obtained his Ph. D. in Artificial Intelligence from the same University in 2007. From 2008 to 2012, he was a Postdoctoral Researcher at the Bioinformatics and Genomics Laboratory, Centre for Genomic Regulation, Barcelona. From 2012 to 2014, he was a Postdoctoral Fellow the Functional Population Genomics and Genetics of Complex Traits group, School of Medicine, University of Geneva. He has been involved in several large international consortia including: ICGC-CLL, ENCODE, GEUVADIS, SYSCOL and GTEx. He published several papers in high impact journals, including the multidisciplinary journals: Nature, Science, Nature Communications, Scientific Reports, PNAS and eLife. Other papers have been published in high impact specialized journals including Genome Biology, Genome Research, American Journal of Human Genetics, Nature Cell Biology, RNA or Leukemia. He is the author of 3 book chapters and 2 books. He has an h-index of 31, with a total > 32 000 citations. In 2015, he was awarded an FCT Investigator Starting grant and he joined Ipatimup/i3s. He was awrded the Research Award 2015 and 2019 from Portuguese Society of Human Genetics - SPGH and the Microsoft Azure Research Award for Data Science 2017. He is a partner in a bioinformatics data analysis company with national and international clients, including hospitals, diagnostic clinics and research centres. From 2015 to 2018, he was an invited assistant professor at the Department of Informatics at the University of Minho, where he taught bioinformatics and data analysis at master's level. He has been involved in the final supervision of 1 postdoctoral fellow, 2 PhD students, 22 Masters students and 3 research assistants, and in the ongoing (main and co-) supervision of 5 PhD students and 5 Masters students. He was the director of the Masters and Specialisation in Bioinformatics and Computational Biology (2020-2023). He has experience in the genomics start-up environment, where he developed information systems for personal genomics data interpretation. He is currently an Assistant Professor (since 02/2019) with Habilitation (since 10/2022) at Department of Computer Science, Faculty of Sciences of the University of Porto and a Senior Researcher at the Artificial Intelligence and Decision Support Group at INESCTEC. He is currently the Director of the Bachelor in Bioinformatics and Adjunct Director of the Bachelor in Artificial Intelligence and Data Science. His main research focus is on developing methods for a variety of problems in genomic data science. In particular, he is interested in unravelling the role of genomics in human health and disease. To achieve this goal, he applies and develops data analysis models using machine learning and probabilistic methods to analyse and interpret diverse, complex and large-scale genomic datasets.