Την Παρασκευή 16 Μαΐου 2025 στις 16:30 στην αίθουσα ΕΑ1 στο παράρτημα του Τμήματος Πληροφορικής στην Εθνικής Αντιστάσεως 16 στην Καλαμαριά θα πραγματοποιηθεί η ομιλία του Τσαμαρδίνου Ιωάννη, καθηγητή του Τμήματος Επιστήμης Υπολογιστών του Πανεπιστημίου Κρήτης με θέμα:

An Introduction to Automated Machine Learning (ML), Causal-Based Multiple Feature Selection, and Automated Causal Discovery (AutoCD) with Use Cases

Abstract: We will discuss the problem of engineering an Automated Machine Learning (AutoML) platform capable of producing an optimal predictive model, identifying the smallest-size, optimally predictive feature subsets (multiple feature selection), and producing an unbiased estimation of performance. We will then extend these ideas to automating the construction of causal models. We’ll complement the theory with a number of real applications in biomecidine and business.

Short bio: Ioannis Tsamardinos, Ph.D., is a Professor at the Computer Science Department of University of Crete, CEO and co-founder of JADBio (Gnosis Data Analysis PC), a University start-up. He obtained his Ph.D. from the Intelligent Systems Program at the University of Pittsburgh in 2001. He then worked as Assistant Professor at the Department of Biomedical Informatics at Vanderbilt University until 2006 when he returned to Greece. Prof. Tsamardinos’ main research directions include machine learning, bioinformatics, and artificial intelligence. More specifically his work emphasizes automated machine learning, feature selection, and causal discovery. Prof. Tsamardinos has over 150 publications in international journals, conferences, and books. Distinctions with colleagues and students include the Outstanding Student Paper Award in AIPS 2000 and the NASA Group Achievement Award for participation in the Remote Agent team. Statistics on recognition of work include more than 14000 citations (1300+ a year), and an h-index of 52 (as estimated by Google Scholar). Ioannis has been awarded the European and Greek national grants of excellence, the ERC Consolidator, ERC Proof of Concept, and the ARISTEIA II grants respectively.