Roman Neruda
Lecturer at Institute of Computer Science, Academy of Sciences of the Czech Republic
Czechia
Summary
👤
Senior🎓
Top SchoolRoman Neruda is a lecturer and researcher with nearly three decades of experience in artificial intelligence, specializing in computational intelligence, neural networks, evolutionary algorithms and intelligent agents. Based at Charles University and the Institute of Computer Science (Academy of Sciences of the Czech Republic), he designs and teaches courses on evolutionary algorithms, neural network theory and adaptive agents while conducting applied research in data mining and robotics. His long-standing academic career includes a formative research stint at Los Alamos National Laboratory and a PhD-focused trajectory that grounded practical experimentation with theoretical rigor. Known for bridging theory and application, he consistently applies biologically inspired methods to real-world data and robotic systems, bringing both pedagogical clarity and hands-on research depth to students and collaborators.
9 years of coding experience
1 year of employment as a software developer
Charles University
Github Skills (1)
machine-learning4
Programming languages (1)
Github contributions (5)
martinpilat/CImethods
Sep 2016 - Oct 2020
Contributions:11 commits, 11 pushes in 4 years 1 month
teachingcomputational-intelligencemachine-learningseminarcomputational
b3ck3tt/eva-book
Aug 2017 - Jan 2018
Contributions:10 pushes, 1 branch in 5 months
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