Bernard Manderick

Bernard Manderick serves as Professor in the Department of Informatics and Applied Informatics at Vrije Universiteit Brussel (VUB), Belgium, with research activity spanning from 1988 to 2023. His work encompasses 116 research outputs across 40 projects, including fundamental AI research, international collaborations with institutions in Kenya and France, and interdisciplinary ethics initiatives.

Manderick's research fingerprint reveals dominant expertise in Reinforcement Learning (100% match), Simulated Annealing (99%), and Computational Genomics (95%), with significant contributions to Support Vector Machines, Machine Learning, Sampling Methods, and Combinatorial Optimization. His methodology integrates engineering principles with materials science applications, particularly in optimization algorithms and bioinformatics.

Recent publication trends (2016-2023) demonstrate sustained focus on adaptive sampling techniques, evolutionary algorithms, and AI ethics. His 2023 MCMC study builds upon 2017 work on CMA-based samplers, while 2016 publications bridge genomic variant classification and game-theoretic analysis of signaling dynamics in adaptive populations.

No scientific awards were explicitly documented in the source material.

Manderick has supervised three PhD candidates: David Catteeuw (2015, signaling evolution), Feng Liu (2010, gene normalization), and Yifei Chen (2010, protein interaction extraction). His grant portfolio includes the €2.7M SRP66 project on AI ethics (2019-2026), bilateral PhD programs with INSA Rouen, and Kenya-focused development initiatives through Moi University partnerships.

Research leadership spans the Existential Ethics of AI platform and international networks including the PPSN conference series (active since 1991), with ongoing collaborations establishing VUB as a hub for adaptive systems research and global AI capacity building.