Gallopoulos Efstratios

Professor Efstratios Gallopoulos is a faculty member at the Department of Computer Engineering & Informatics, University of Patras, where he holds the Division of Computer Software. He currently serves as Deputy Department Chair and Director of the High Performance Information Systems Laboratory (HPCLab). His academic career spans multiple institutions including the University of Illinois at Urbana-Champaign, University of California Santa Barbara, and collaborations with INRIA Rennes and NASA Goddard Space Flight Center.

• Education: B.Sc. in Mathematics (First Class Honours) from Imperial College London (1979)
• Ph.D. in Computer Science from University of Illinois at Urbana-Champaign (1985)

Research Focus: His work centers on Large-scale Scientific Computing with emphasis on Computational Linear Algebra, Parallel/Distributed Processing, and Data Mining. Recent publications highlight innovations in Randomized Numerical Linear Algebra, Heterogeneous Cluster Scheduling, and GPU-Accelerated Inversion Techniques.

Article Trends: His research bridges High-Performance Computing with Data Science, focusing on scalable algorithms for Matrix Computations, Recommender Systems, and Biomarker Analysis. The work spans theoretical advancements (e.g., Givens Rotations) and practical implementations (e.g., pylspack library).

• Scientific Awards:
• NASA Group Achievement Award for Massively Parallel Processor (MPP) development
• ACM SIGWEB Hypertext Ted Nelson Newcomer Award (2012)

Advising and Grants: He has advised numerous research projects funded by European Research Council, Hellenic Foundation for Research and Innovation (HFRI), and international bodies like the US National Science Foundation. Notably, he co-organized the 2015 Gene Golub SIAM Summer School and served as Chair of the SIAM Gene Golub Summer School Committee (2020-24).

Labs and Teams: He leads the High Performance Information Systems Laboratory (HPCLab) and co-directs the interdisciplinary graduate program Data Driven Computing and Decision Making. His teams have contributed to the Cedar vector multiprocessor project at UIUC and Text-to-Matrix Generator (TMG) tools for data mining.