The Cyprus Institute

Constantine Dovrolis

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Dr. Constantine Dovrolis is the Director of the center for Computational Science and Technology (CaSToRC) at The Cyprus Institute (CyI) as of 1/1/2023. He is also a Professor at the School of Computer Science at the Georgia Institute of Technology (Georgia Tech). He is a graduate of the Technical University of Crete (Engr.Dipl. 1995), University of Rochester (M.S. 1996), and University of Wisconsin-Madison (Ph.D. 2000).

His research is highly inter-disciplinary, combining Network Theory, Data Mining and Machine Learning. Together with his collaborators and students, they have published in a wide range of scientific disciplines, including climate science, biology, and neuroscience. More recently, his group has been focusing on neuro-inspired architectures for machine learning based on what is currently known about the structure and function of brain networks.

According to Google Scholar, his publications have received more than 15,000 citations with an h-index of 56. His research has been sponsored by US agencies such as NSF, NIH, DOE, DARPA, and by companies such as Google, Microsoft and Cisco. He has published at diverse peer-reviewed conference and journals such as the International Conference on Machine Learning (ICML), the ACM SIGKDD conference, PLOS Computational Biology, Network Neuroscience, Climate Dynamics, the Journal of Computational Social Networks, and others. 

Selected recent publications: 

• NICE: Neurogenesis Inspired Contextual Encoding for Replay-free Class Incremental Learning with Mustafa Burak Gurbuz and Jean Michael Mooreman. Computer Vision and Pattern Recognition (CVPR) conference, 2024
• Neural Sculpting: Uncovering hierarchical modular task structure through pruning and network analysis, Conference on Neural Information Processing Systems (NeurIPS), 2023
• NISPA: Neuro-Inspired Stability-Plasticity Adaptation for Continual Learning in Sparse Networks, International Conference in Machine Learning (ICML), 2022 (selected for Spotlight presentation)
• PHEW: Constructing Sparse Neural Networks that Learn Fast and Generalize Well Without Training Data, International Conference in Machine Learning (ICML), 2021

Selected recent projects:

• EuroCC2 - National Competence Center (NCC) in High-Performance Computing (HPC), funded by EuroHPC-JU and the Research and Innovation Foundation (RIF) of Cyprus, started: Jan 2023, duration: 3 years
• AGORA 3.0, funded by the Research and Innovation Foundation (RIF) of Cyprus, started: Ma 2024, duration: 2 years
• PROTECT, funded by the Research and Innovation Foundation (RIF) of Cyprus, started: Ma 2024, duration: 2 years
• Generative AI for Education (GenAI4ED), funded by Horizon Europe, started: Oct 2024, duration: 3 years
• FINALITY MSCA Doctoral Network, funded by Horizon Europe, started: Mar 2025, duration: 4 years

Selected recent talks:

• "Brains, Deep Learning, and Networks: An Inter-Disciplinary Synergy" - CyI Colloquium, September 2022.
• Neural nets do not need to be a black box: the recent mathematics of deep learning, CyI Seminar, January 2025

I am always looking for talented PhD students and Post-Doctoral fellows to work with. Please contact me if you are interested.

For more information about earlier publications, grants, etc, please refer to his web page at Georgia Tech.