معرفی
Holger H. Hoos is a Professor at the University of British Columbia's Computer Science Department, affiliated with the Institute for Computational Intelligence and Cognitive Systems (ICICS) and the Peter-Wall Institute for Advanced Studies. As of 2017, his primary affiliation shifted to Leiden University (Netherlands), though he remains connected to UBC. His research focuses on algorithmics, bioinformatics, computational intelligence, and computer music, with significant contributions to stochastic local search, empirical algorithmics, and SAT solving.
Education: Ph.D. (Dr.rer.nat) in Computer Science from TU Darmstadt (1998), postdoctoral fellow at UBC. He has led the BETA Lab and SALIERI Project, exploring biomolecular structure prediction and music algorithms.
Research interests span stochastic algorithms, RNA structure prediction, automated algorithm configuration, and interdisciplinary applications like flow cytometry analysis. His work bridges theoretical foundations with empirical methods, emphasizing practical problem-solving.
Awards include the AAAI Fellowship, multiple best paper awards (GECCO 2020, IJCAI-JAIR 2010), and leadership roles in conferences like AAAI and LION. He has advised over 30 students, contributing to impactful projects in bioinformatics and AI.
Labs/Teams: Founder of the BETA Lab (Bioinformatics, Theoretical and Empirical Algorithms), member of the Laboratory for Computational Intelligence (LCI), and collaborator on SALIERI (Computer Music).
