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Andreas AthenodorouView profile

Researcher

• Theoretical Particle Physics
• Lattice Gauge Theories
• Computational Physics
• +4 more

Andreas Athenodorou is an associate research scientist at the Computation-based Science & Technology Research Center (CaSToRC) of The Cyprus Institute. He holds a PhD in Theoretical Particle Physics from the University of Oxford (2004–2008) and has held postdoctoral positions at DESY Zeuthen, Swansea University, and the University of Cyprus. Prior to his current role, he was a Marie Sklodowska Curie Individual Fellow at the University of Pisa (2019–2021). He currently leads a work package in the NI4OS-Europe project. His research focuses on theoretical and computational aspects of particle physics, including lattice gauge theories, large-Nc limits, hadron structure, and beyond Standard Model physics. He specializes in applying high performance computing (HPC), data science, and machine learning to solve complex problems in quantum field theory. Notable areas include confinement dynamics via effective string theory, glueball spectroscopy, and topological susceptibility studies in QCD. His computational work spans lattice QCD simulations, development of reproducible open science workflows, and application of machine learning to phase transition analysis. He has contributed to understanding mass hierarchies in strongly-coupled systems and the neutron electric dipole moment using advanced simulation techniques. Key contributions include advancing effective string theory descriptions of flux tubes, analyzing Z_N gauge theories, and exploring β-function behaviors in SU(2) adjoint fermion systems. His work bridges fundamental theory with computational innovation, addressing both particle physics questions and methodological challenges in large-scale simulations.

Marios ZachariasView profile

Assistant Professor

• Computational Materials Science
• Electronic Structure Theory
• High-Performance Computing
• +4 more

Marios Zacharias is a computational materials scientist currently serving as an Assistant Professor at The Cyprus Institute . His research focuses on electronic structure theory, high-performance computing (HPC), and the modeling of anharmonicity, electron-phonon interactions, and vibronic effects in condensed matter systems. He is known for developing the EPW/ZG module in Quantum ESPRESSO and co-creating the Special Displacement Method (SDM) for finite-temperature electronic structure calculations. Research Interests: Electronic structure theory for materials modeling High-throughput simulations using HPC Machine learning applications in materials science Anharmonic effects in solids Electron-phonon interactions and vibronic coupling Scientific Awards: Marie Skłodowska-Curie Postdoctoral Fellowship His recent work explores machine learning approaches for simulating anharmonicity and local disorder in halide and oxide perovskites, with applications in energy and environmental sciences.

Simone BacchioView profile

Researcher

• Lattice Quantum Chromodynamics (QCD)
• Theoretical Particle Physics
• High Performance Computing (HPC)
• +4 more

Simone Bacchio is a Researcher at the Computation-based Science & Technology Research Center (CaSToRC) of The Cyprus Institute. His work focuses on lattice Quantum Chromodynamics (QCD) and high performance computing (HPC) applications in particle physics. Key research interests include precision calculations of nucleon form factors, quark momentum distributions, and contributions to the muon anomalous magnetic moment (g-2). He contributes to the ETMC collaboration, utilizing twisted-mass fermion ensembles for non-perturbative QCD studies. His research addresses topics such as hadronic light-by-light scattering, pion/kaon structure, and nucleon spin decomposition. Bacchio's computational work leverages advanced HPC techniques, including multigrid methods and lattice simulation optimizations. His studies aim to bridge experimental results with theoretical predictions in precision physics.

• Quantum Computing
• Machine Learning
• Artificial Intelligence
• +3 more

Syed Ali Hassan is affiliated with the Cyprus Institute (CyI) as part of the Computation-based Science & Technology Research Center (CaSToRC). His role involves contributing to the center's research and educational activities within the Graduate School. He is part of a multidisciplinary team focusing on advanced computational methodologies and technologies. Research interests align with CaSToRC's core areas: Quantum Computing, Machine Learning/AI, Computational Modeling, and High Performance Computing (HPC). His work bridges theoretical and applied computational science, addressing challenges in material simulation and computational physics. No specific academic awards, grants, or publications are listed in the provided text. He is associated with CaSToRC's infrastructure and educational programs but no personal lab or team is explicitly mentioned.

Marios ChristodoulouView profile

Assistant Professor

• Quantum Computing
• Machine Learning
• Artificial Intelligence (AI)
• +3 more

Marios Christodoulou is an Assistant Professor at the Computation-based Science & Technology Research Center (CaSToRC) of The Cyprus Institute (CyI). His research focuses on advancing computational methodologies in quantum computing, machine learning, and high-performance computing. He contributes to interdisciplinary projects bridging theoretical and applied computational science. While specific educational background is not detailed in the provided text, CaSToRC’s mandate centers on cutting-edge computational research, suggesting his expertise aligns with computational modeling, AI, and HPC applications. His research interests include quantum computing innovations, AI-driven solutions, and computational physics simulations. Collaborations within CaSToRC likely involve cross-disciplinary teams addressing complex scientific challenges. No specific articles, grants, or awards are listed in the provided information. Further details on his academic contributions would require access to his full publication record or grant portfolio.

Constantine DovrolisView profile

Professor

• Machine Learning
• Neuroscience
• Network Theory
• +4 more

Constantine Dovrolis is a Professor at the Georgia Institute of Technology’s School of Computer Science and Director of the Computation-based Science & Technology Research Center (CaSToRC) at The Cyprus Institute since January 2023. His interdisciplinary research merges Network Theory, Data Mining, and Machine Learning, with applications in climate science, biology, neuroscience, and neuro-inspired AI architectures. Education : Bachelor’s (Engr.Dipl.) from Technical University of Crete (1995) M.S. from University of Rochester (1996) Ph.D. from University of Wisconsin-Madison (2000) Research Focus : Recent work emphasizes neuro-inspired machine learning, leveraging brain network principles. Key areas include continual learning, sparse neural networks, and hierarchical task structure discovery. His group’s contributions address challenges in AI adaptability and interpretability. Projects & Funding : Current initiatives include EuroCC2 (HPC competence center), AGORA 3.0, PROTECT, GenAI4ED (EU Horizon Europe), and FINALITY MSCA Network. Funders include NSF, NIH, DOE, DARPA, Google, Microsoft, and Cisco. Labs & Teams : Leads CaSToRC, fostering collaborations in quantum computing, AI, computational modeling, HPC, and policy-driven innovation. Active in training PhD students and postdocs in interdisciplinary computational science.

Jose ArayaView profile

Researcher

• Climate Change
• Meteorology
• Data Science
• +4 more

Jose Araya is a Researcher at the Environmental Predictions Department (EDP) within the Climate and Atmosphere Research Center (CARE-C) at the Cyprus Institute (CyI). He joined CyI in February 2020, focusing on climate change studies, vector-borne disease impacts, and environmental data management. His expertise spans atmospheric modeling, machine learning applications, and high-performance computing (HPC) environments. Education: Bachelor and Licentiate degrees in Meteorology PhD in Engineering Research Interests: Dr. Araya’s work integrates climate science with data-driven methodologies. His current focus includes: Machine learning for meteorological data restoration and quality control Climate impact assessments, particularly heat stress projections and vector-borne disease modeling Development of statistical frameworks for environmental datasets High-resolution climate modeling and HPC applications Key Contributions: His research bridges operational meteorology with advanced computational techniques, addressing challenges in data integrity, environmental monitoring, and climate adaptation strategies. Projects include partnerships with institutions like St. Petersburg’s flood warning system and Arctic climate datasets. Advising & Grants: While no formal advisees are listed, his roles involve collaborative research projects within CyI’s interdisciplinary teams. Funding details for his projects are not explicitly mentioned in available texts. Labs & Teams: Active within the Environmental Predictions Department at CARE-C, contributing to interdisciplinary efforts in climate modeling and environmental policy innovation.

Evangelos PapaefthymiouView profile

Research Professor

• Quantum Computing
• Computational Physics
• High Performance Computing
• +1 more

Evangelos Papaefthymiou is a Research Professor at The Cyprus Institute, leading the Quantum Computing and Computational Physics Group within the Computation-based Science and Technology Research Center (CaSToRC). He earned a PhD in Physics (Computational Physics) from the University of Illinois at Urbana-Champaign. Education: PhD in Physics (Computational Physics), University of Illinois at Urbana-Champaign His research focuses on quantum computing , computational physics , high-performance computing (HPC) , and computational modeling of materials . He has supervised multiple PhD and Master’s students and contributes to funded research projects. Evangelos is a member of the European Physical Society and the American Physical Society. He plays a key role in advancing computational sciences at CaSToRC while maintaining active collaborations and leadership in his research areas.

Christodoulos StylianouView profile

Researcher

• High Performance Computing
• Distributed Computing
• Artificial Intelligence
• +3 more

Christodoulos (Chris) Stylianou is a Researcher at the Computation-based Science & Technology Research Center (CaSToRC) at The Cyprus Institute (CyI), where he serves as a Research Engineer for the EuroCC2 Project. He holds an MEng in Electrical & Electronic Engineering from Imperial College London, an MSc in High Performance Computing (HPC) with Data Science from the University of Edinburgh, and a PhD in HPC, Computational & Data Science, and Software Engineering from EPCC at the University of Edinburgh. His research focuses on High Performance Computing, with specialties in heterogeneous and distributed computing, performance portability, and the application of artificial intelligence to accelerate sparse linear algebra for next-generation hardware architectures. His work contributes to advancing computational methods for modern and emerging computing systems. Chris is affiliated with CaSToRC, a leading research center within CyI that drives innovation in quantum computing, machine learning, computational modeling, and high-performance computing. He actively participates in collaborative projects like EuroCC2, contributing to the development of computational infrastructure and methodologies.