I am a computer scientist with a dual interest in fundamental and applied research. My main research areas are computational intelligence, distributed systems, and explainable AI. Moreover, I have over 10 years industrial experience in mechatronics and numerical optimization applied e.g. to logistics, scheduling, and engineering design.
Currently, I am Associate Professor at the Department of Information Engineering and Computer Science (DISI), University of Trento, Italy, where I lead the Distributed Intelligence and Optimization Lab (DIOL), and I teach courses on Computer Architectures (Bachelor's level), Bio-Inspired Artificial Intelligence (Master's level), and Optimization Techniques (Master's level).
January: New paper published. Evolutionary learning of interpretable decision trees. Preprint available here. Code available here, featured on PwC newsletter.
December: ACM SAC paper accepted. Preprint available here.
December: New paper published. Multi-objective automatic analysis of lung ultrasound data from COVID-19 patients by means of deep learning and decision trees.
December: New paper published. Evolving Hebbian Learning Rules in Voxel-based Soft Robots. Preprint available here.
December: New paper published. High Frame Rate Ultrasound Imaging by Means of Tensor Completion: Application to Echocardiography.
December: New paper published. A single-solution–compact hybrid algorithm for continuous optimization.
December: New paper published. An improved Jaya optimization algorithm with ring topology and population size reduction.
November: New paper published. A single-solution–compact hybrid algorithm for continuous optimization.
November: New paper published. High Frame Rate Ultrasound Imaging by Means of Tensor Completion: Application to Echocardiography.
August: New paper published. Online Distributed Evolutionary Optimization of Time Division Multiple Access Protocols.
August: New preprint posted. The emergence of division of labor through decentralized social sanctioning.
June: I am co-editor of the Special Issue on Best Practices in Neural Architecture Search on MDPI Applied Sciences.
June: PPSN paper accepted. Large-scale multi-objective influence maximisation with network downscaling. Preprint available here.
April: Looking forward to give an invited talk on real-world applications of Evolutionary Computation at the Evolutionary Computation in Practice track at GECCO 2022!
April: Looking forward to give an invited talk on XAI and Evolutionary Computation at WIVACE 2022!
April: One GECCO poster, three GECCO workshop papers and one ALIFE paper accepted.
April: New preprint posted. Interpretable AI for policy-making in pandemics.
March: I am co-editor of the Special Issue on Explainable AI in Evolutionary Computation on ACM Transactions on Evolutionary Learning and Optimization.
March: I am co-editor of the Research Topic Artificial Living Beings: Field “Cross-Fertilization” on Frontiers Robotics and AI.
March: My lab is one of the available hosts for the SPECIES scholarships. Please find more info here.
February: New preprint posted. Interpretable pipelines with evolutionarily optimized modules for RL tasks with visual inputs.
January: Two papers accepted at Evostar 2022 (and Hyunho Mo nominated as outstanding student).
December: New paper published. Optimizing the Sensory Apparatus of Voxel-based Soft Robots through Evolution and Babbling.
November: I've joined the ELLIS (European Laboratory for Learning and Intelligent Systems) society.
November: New paper published. On the use of single non-uniform mutation in lightweight metaheuristics.
November: New paper published. Cluster-centroid-based mutation strategies for Differential Evolution.
October: Three papers accepted at IEEE Symposium Series on Computational Intelligence (SSCI) 2021.
September: Special Session on Applications of Bioinspired techniques on Social Networks will be hosted at Evostar 2022. You can find the flyer here.
May: New paper published. Evolutionary Neural Architecture Search for Remaining Useful Life Prediction.
April: Two more workshop papers and one hot-off-the-press paper accepted at GECCO 2021.
March: Three papers accepted at GECCO 2021.
March: Hyunho Mo received the Industrial Innovation PhD best presentation award at ICT Days 2021.
March: New paper published. Genetic Improvement of Routing Protocols for Delay Tolerant Networks.
December: New paper published. Evolving Plasticity for Autonomous Learning under Changing Environmental Conditions.
December: New paper published. Distributed Embodied Evolution over networks.