Advisory Board and Editors Data Mining & Machine Learning
Una May OReilly
Principal Research Scientist, Computer Science and Artificial Intelligence Lab, MIT. Leader, AnyScale Learning for All (ALFA) group. Vice-Chair ACM SigEvo, Fellow of ISGEC, 2013 EvoStar Award for Outstanding Achievements in Evolutionary Computation in Europe
Krishna Dev Oruganty
I can best describe myself as a simulation biologist. I am interested in simulating life processes at multiple scales. From the atomic scale to understand protein function to cellular or systems scale to understand physiological processes. My main tool is the computer which I use to analyze, understand and predict biology. Secondary tools are in vitro biochemistry and biophysics experiments that I use to validate my predictions.
Vera Pancaldi
I was trained as a physicist at Imperial College London and soon found my way in systems and computational biology. Since 2018 I lead a computational biology team at the Cancer Research Center of Toulouse (CRCT) working on modelling cancer and its interactions with the immune system.
I have worked on various projects on stress response in fission yeast and prediction of protein interactions (in the group of Jurg Bahler at Sanger Institute/University College London), epigenomics and hybrid vigour in plants (with David Baulcombe at Cambridge University) and integrative epigenomics in cancer (with Alfonso Valencia at CNIO, Madrid and Barcelona Supercomputing Center). My main current focus is understanding the relationship between genome architecture and heterogeneity at various levels and relating heterogeneity of tumour infiltrating immune cells to patient's prognoses in different cancers. I also co-founded Cambridge Networks Network in 2011, an online forum for scientists interested in networks in Cambridge in beyond.
Jun Pang
Research interests: Formal methods, security and privacy, big data analytics, computational systems biology
Thiago Parente
Scientist in Public Health at the Laboratory of Functional Genomics and Bioinformatics at the Oswaldo Cruz Institute (IOC, Fiocruz), Rio de Janeiro, Brazil. Scientific coordinator of the Institutional Bioinformatics Platform. CNPq Level 2 Research Productivity Scholar (Genetics). Permanent professor at the Graduate program on Systems and Computational Biology IOC, Fiocruz. Graduated in Biological Sciences - Genetics major - from the Federal University of Rio de Janeiro (2006), with a Master's degree in Cell and Molecular Biology from the IOC (2008) and PhD in Biophysics from UFRJ (2012). Through high performance technologies for DNA sequencing and computational data analysis, I investigate the effects of pollution on fauna, using fish as model organisms, and their responses and genetic adaptations to pollutants, especially those involved in the xenobiotic biotransformation system.
Mohammad Zavid Parvez
Mohammad Zavid Parvez is a scholar in computer science with over 16 years of academic and research experience spanning machine learning, biomedical signal processing, cybersecurity, and federated learning. He earned his PhD in Computer Science from Charles Sturt University, Australia, where his research focused on epileptic seizure detection and prediction using EEG signals, and has since held research positions at Charles Sturt University and the ISI Foundation (Italy). He has published extensively in leading journals, including IEEE Transactions on Biomedical Engineering, IEEE Transactions on Neural Systems and Rehabilitation Engineering, and Neurocomputing. He also serves as Topic Editor for Frontiers in Medicine. His current research interests include cyber threat intelligence, privacy-preserving medical data analysis, and AI-driven healthcare solutions.
Gabriella Pasi
Gabriella Pasi is Full Professor at the University of Milano Bicocca, Italy, where she leads the Information Retrieval research Lab within the Department of Informatics, Systems and Communication. Her research activity mainly addresses the definition of models and techniques for a personalized access to information (in particular related to the tasks of information Retrieval and Filtering). She is also working on the analysis of user generated content in social media.
Barbara Pes
Barbara Pes obtained her laurea degree in Physics from the University of Cagliari (Italy) in 2001. From 2002 to 2005 she collaborated with the Database and Data Mining Group at the Department of Mathematics and Computer Science, University of Cagliari. Since 2006 she has been working at the same department as a University Researcher (permanent position). Here she teaches/taught Foundations of Computer Science, Database and Data Mining courses.
Barbara Pes has participated in several research projects on Web-based Information Systems, Service-Oriented Architectures, Data Integration, High-dimensional Data Analysis, and Bioinformatics. Currently, her main research interests are in the field of Data Mining and Machine Learning, Classification of High-dimensional Data, Feature Selection. She is author of more than 60 papers published in international conferences, books and journals.
Marco Piangerelli
Dr. Marco Piangerelli had his M.Sc. in Bioengineering from the University of Bologna and got his Ph.D. in Computer Science from the University of Camerino, where he is currently a Research Associate. His research interests are mainly on Unsupervised techniques for Machine Learning and Data Science in Manufacturing and Bio Science, Self-Adaptive Systems, and Topological Data Analysis. He is the author of many publications and was a PC member for many conferences and Workshops (AAAI-MAKE 2022-23-24 Spring Symposium, SACAIR 2023, DESRIST 2023, ATDA2019). He co-organized the 9th International Workshop on Engineering Energy Efficient InternetWorked Smart seNsors (E3WSN ) hosted by the 37th International Conference on Advanced Information Networking and Applications (AINA) at the Federal University of Juiz de Fora, Brazil. He has experience in Technological transfer projects and actively collaborates with international companies (INGKA, Schnell S.p.A., Sigma S.p.A., and Nuova Simonelli S.P.A.) and Italian ones (Syeew S.r.l). In 2024, he will be a Visiting Researcher at Addis Ababa University (Ethiopia) to work on topics related to his research fields.
Brett E Pickett
Dr. Brett Pickett is an Assistant Professor in the Microbiology and Molecular Biology Department at Brigham Young University. He completed his B.S degree in Microbiology from BYU in 2005, his Ph.D. training in Microbiology at the University of Alabama at Birmingham, and his postdoctoral training in Pathology at the University of Texas Southwestern Medical Center at Dallas. He then obtained additional experience in industry, and at the J. Craig Venter Institute, where he led investigative studies in viral comparative genomics and the human transcriptional response during viral infection. His research develops data mining methods, applies machine learning techniques, and use advanced statistical workflows to better understand how human cells respond during infection.
Douglas Pires
Douglas Pires is a Senior Lecturer in Digital Health in the School of Computing and Information Systems at the University of Melbourne. Previously, he was a group leader and researcher in public health at Oswaldo Cruz Foundation/Brazil. He was also a postdoctoral researcher fellow at the University of Cambridge and University of Melbourne. He received a PhD in Bioinformatics from the Universidade Federal de Minas Gerais/Brazil and a BSc in Computer Science, both with highest honours, by the same university. His research interests include: Computational Biology, Translational Bioinformtaics and Machine Learning.
Alessandro Sebastian Podda
Alessandro Sebastian Podda is a tenure-track Assistant Professor (RTT) at the Department of Mathematics and Computer Science of the University of Cagliari, and he is accredited by the Italian Ministry of University and Research for Associate Professor positions in the scientific sectors 01/B1 (Informatics) and 09/H1 (Computer Engineering). He received a master's degree in Computer Science from the University of Cagliari (cum laude) in 2014 and he got a PhD in Mathematics and Computer Science with a thesis entitled "Behavioural contracts: from centralized to decentralized implementations" in 2018. In 2017, he has been visiting scientist at the Laboratory of Cryptography and Industrial Mathematics of the University of Trento. In 2021, he was formally commissioned to a six month collaboration with the Ispra Joint Research Center (JRC) of the European Commission under the research tender ref. JRC/IPR/2020/VLVP/2916.
Currently, Alessandro Sebastian Podda is Research Unit Coordinator (AI for eHealth and Smart Cities) at the Artificial Intelligence and Big Data Laboratory and former member of the Blockchain Laboratory. He has been also the Work Package Lead of the Doutdes and Sardcoin projects and participates/d in several research projects including AlmostAnOracle, Nomad, Safespotter, Social Glue and Mister. To date, he has been the co-author of no. 18 articles in international journals in the field of computer science, no. 16 conference and workshop proceedings, and 1 book chapter, for which he has over 1450 citations on Google Scholar and over 900 on Scopus, as well as a speaker (eg. LOD 2022, ICCSA 2021, PerAwareCity 2021, MaDaIN 2020, FACS 2015, etc.), co-chair (AISC 2021/2022, HUMAD 2024) and program committee member at numerous international scientific events (eg. HT2022, LOD 2021/2022/2023/2024, IEEE HPCC 2022, IEEE CPS-COM 2021, etc.).
Alessandro Sebastian Podda has been a Member of the Association of Computing Machinery (ACM) and of the Institute of Electrical and Electronics Engineers (IEEE).