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I am a computer scientist and software engineer. As a scientist, my main research areas are evolutionary computation, computational intelligence, embedded systems, robotics and distributed computing. As an engineer, I have longstanding experience on various projects related to mechatronics, numerical simulations, and industrial optimization.

I am Associate Professor at the Department of Information Engineering and Computer Science (DISI), University of Trento, IT, where I lead the Distributed Intelligence and Optimization Lab (DIOL).

Profiles: Google Scholar, Scopus, ORCID, DBLP, SemanticScholar, ResearchGate, WoS, LinkedIn, Twitter.

News

• Sep 2021: Special Sessio on Applications of Bioinspired techniques on Social Networks will be hosted at Evostar 2022! You can find the flyer here.

• Aug 2021: New paper accepted! A Compact Compound Sinusoidal Differential Evolution Algorithm for Solving Optimisation Problems in Memory-Constrained Environments.

• May 2021: My lab is one of the available hosts for the SPECIES scholarships. Please find more info here.

• May 2021: New paper accepted! Evolutionary Neural Architecture Search for Remaining Useful Life Prediction.

• Apr 2021: Two more workshop papers and one hot-off-the-press paper accepted at GECCO 2021!

• Mar 2021: Three papers accepted at GECCO 2021!

• Mar 2021: Hyunho Mo received the Industrial Innovation PhD best presentation award at ICT Days 2021!

• Mar 2021: New paper accepted! Genetic Improvement of Routing Protocols for Delay Tolerant Networks.

• Feb 2021: Special Session on Bio-inspired approaches for modular robotics will be hosted at ALIFE 2021!

• Dec 2020: New paper accepted! Evolving Plasticity for Autonomous Learning under Changing Environmental Conditions.

• Dec 2020: New paper published! Distributed Embodied Evolution over networks.

• Dec 2020: New preprint posted! Evolutionary learning of interpretable decision trees (code here, featured on PwC newsletter).