جست‌وجوی استاد و پژوهشگر

• Distributed Computing
• Internet Computing
• Cloud Computing
• +۹ مورد دیگر

George Pallis is a Professor in the Department of Computer Science at the University of Cyprus, where he also serves as Associate Director of the Laboratory of Internet Computing. He is a programme director for the Master in Data Science and leads major international research initiatives funded by the European Commission, national agencies, and industry partners such as Google. His academic foundation includes a BSc and PhD in Informatics from Aristotle University of Thessaloniki, Greece. PhD, Department of Informatics, Aristotle University of Thessaloniki, Greece, 2006 BSc, Department of Informatics, Aristotle University of Thessaloniki, Greece, 2001 Dr. Pallis’s research focuses on Distributed and Internet Computing , with specialized interests in Big Data Analytics, Cloud/Edge/Fog Computing, Content Delivery Networks, and Online Social Networks . His work bridges theoretical innovation and practical deployment, particularly in scalable and energy-efficient computing infrastructures. He has contributed to international standards through the German Institute for Standardization (DIN) and has developed frameworks for cloud elasticity, fog emulation, and misinformation detection. His 15 most recent publications reflect a strong trend in edge and fog computing, AI-driven analytics, privacy-preserving data processing, and misinformation detection . These works span high-impact venues such as IEEE IC2E, IEEE/ACM SEC, IEEE CloudCom, and IEEE BigData, with increasing integration of machine learning and human-in-the-loop systems. Dr. Pallis has received multiple scientific awards, including: Best Paper Award, IEEE CloudCom 2024 Best Paper Award (2nd place), IEEE/ACM UCC 2023 Best Paper Award, IEEE IoTDi 2022 Best Student Paper, IEEE ISCC 2022 Best Paper, IEEE BigData 2016 Best Paper, ICSOC 2014 Best Demo Award, ACM/IEEE SEC 2020 World’s Top 2% Scientists (Stanford) Golden Core Member, IEEE Computer Society He has supervised several PhD students in areas such as fog computing emulation, big data in entrepreneurship, and polarization detection. His research is supported by over 5.5 million euros in grants from the European Commission (e.g., RAINBOW, UNICORN, ICARUS), the Research Promotion Foundation in Cyprus, and industry. He has served as General Chair of IEEE/ACM SEC 2024 and IEEE IC2E 2024, and as Editor-in-Chief of IEEE Internet Computing (2019–2023), now holding the Emeritus title. He is currently Associate Editor for the Computing Journal (Springer). Dr. Pallis leads the Laboratory of Internet Computing, a hub for research in cloud, edge, and social computing. The lab develops tools like Fogify for emulation, RAINBOW analytics, and Check-It for fake news detection, fostering collaboration across academia and industry.

Pooya Lotfabadiمشاهده پروفایل

استادیار

• Sustainable Architecture
• Architectural Education
• Building Design
• +۳ مورد دیگر

Pooya Lotfabadi is an Assistant Professor at the Faculty of Architecture and Fine Arts of Final University of Northern Cyprus . His academic journey includes a Doctoral Degree (2020) , Master's Degree (2014) , and Bachelor's Degree (2011) in Architecture, all from Eastern Mediterranean University or Khayyam University. Research Interests: Sustainable Lighting Design Artificial Intelligence in Architectural Pedagogy Thermal and Visual Comfort Optimization Ecological Building Strategies Urban Movement Patterns and Cultural Identity Publications highlight his work on daylight optimization, climate-responsive design, AI integration in education, and socio-spatial analysis of immigrant communities. His methodological focus includes parametric modeling, analytic hierarchy process, and GIS applications.

George Christophidesمشاهده پروفایل

استاد مدعو

• Quantum Computing
• Machine Learning
• Computational Modeling
• +۳ مورد دیگر

George Christophides holds the position of Adjunct Professor at The Cyprus Institute (CyI), affiliated with the Computation-based Science & Technology Research Center (CaSToRC). His research focuses on advancing computational methodologies in quantum computing, machine learning, and high-performance computing. As part of CaSToRC, he contributes to interdisciplinary projects leveraging computational modeling and simulation of materials, alongside advancements in artificial intelligence applications.

Vangelis Harmandarisمشاهده پروفایل

استاد

• Quantum Computing
• Machine Learning
• Artificial Intelligence
• +۴ مورد دیگر

Vangelis Harmandaris is a Professor at The Cyprus Institute (CyI), affiliated with the Computation-based Science & Technology Research Center (CaSToRC). His research focuses on advancing computational methods and their applications in quantum computing, machine learning, artificial intelligence, and materials science. He contributes to high-performance computing and computational physics, driving interdisciplinary innovation. As part of CaSToRC, his work aligns with the center's mission to bridge computational science with technology, addressing complex challenges in energy, environment, and advanced materials. While specific grants, awards, or advisees are not detailed here, his role emphasizes leadership in computational research and education. CaSToRC serves as a hub for cutting-edge research, offering platforms for collaborative projects and training programs. His contributions are integral to CyI's initiatives in computational and data-driven sciences.

Marios Christodoulouمشاهده پروفایل

استادیار

• Quantum Computing
• Machine Learning
• Artificial Intelligence (AI)
• +۳ مورد دیگر

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 Dovrolisمشاهده پروفایل

استاد

• Machine Learning
• Neuroscience
• Network Theory
• +۴ مورد دیگر

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.

Giannis Koutsouمشاهده پروفایل

استادیار

• Lattice Quantum Chromodynamics
• High-Performance Computing
• Particle Physics
• +۱ مورد دیگر

Giannis Koutsou is an Assistant Professor of Computational Science at The Cyprus Institute's Computation-based Science and Technology Research Centre. His research focuses on lattice quantum chromodynamics (QCD), high-performance computing, and particle physics phenomenology. His interests include nucleon structure analysis, quantum field theory simulations, and optimization of algorithms for novel computing architectures. Koutsou's recent publications (2017-2025) explore nucleon matrix elements, electromagnetic form factors, and muon g-2 calculations using twisted-mass fermion approaches. His work demonstrates consistent advancement in precision lattice QCD methods for hadronic physics. No awards, students, or labs are explicitly documented.

Spiros Millasمشاهده پروفایل

پژوهشگر

• Quantum Computing
• Machine Learning
• Artificial Intelligence
• +۳ مورد دیگر

Spiros Millas is affiliated with the Computation-based Science & Technology Research Center (CaSToRC) at The Cyprus Institute (CyI). As a Researcher, his work aligns with the center's focus areas, including Quantum Computing, Machine Learning, and High Performance Computing. His research interests span computational modeling, artificial intelligence applications, and computational physics. While no specific educational background is detailed in the provided text, CaSToRC's mission emphasizes advancing computational methods in science and technology. Spiros contributes to projects within the center's core themes, though specific grants, awards, or advising roles are not listed here. The center's infrastructure supports his work in areas like computational simulations and quantum technologies. No publications or academic awards are explicitly mentioned in the provided information. For further details, direct inquiry via institutional channels may be necessary.

Emmanouil Kritikosمشاهده پروفایل

پژوهشگر

• Quantum Computing
• Machine Learning
• Artificial Intelligence
• +۳ مورد دیگر

Emmanouil Kritikos is affiliated with the Cyprus Institute's Computation-based Science & Technology Research Center (CaSToRC) . His research focuses on cutting-edge computational sciences, including quantum computing, machine learning, and high-performance computing. He contributes to advancing computational methodologies with applications in physics and materials science. As part of CaSToRC, his work aligns with the center's missions in computational modeling, artificial intelligence, and quantum technologies. Further details on his educational background, specific projects, or awards are not explicitly provided in the available text.

Jose Arayaمشاهده پروفایل

پژوهشگر

• Climate Change
• Meteorology
• Data Science
• +۴ مورد دیگر

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.

Spyroulla Mavrommatiمشاهده پروفایل

پژوهشگر

• Quantum Computing
• Machine Learning
• Artificial Intelligence
• +۳ مورد دیگر

Spyroulla Mavrommati is affiliated with the Cyprus Institute (CyI), specifically within the Computation-based Science & Technology Research Center (CaSToRC). Her research interests align with the center's focus areas, including Quantum Computing, Machine Learning, and High Performance Computing. As part of CaSToRC, she contributes to advancements in computational sciences and technology-driven innovation. Though her specific roles and projects are not detailed in the provided text, her association with CaSToRC underscores her involvement in cutting-edge research in computational modeling and simulation.

Fabio Maria Montagninoمشاهده پروفایل

پژوهشگر ارشد

• Renewable Energy
• Sustainability
• Innovation Management
• +۳ مورد دیگر

Fabio Maria Montagnino is a Senior Research Fellow at The Cyprus Institute (CyI), specializing in renewable energy, sustainability, and innovation management. With a physics background from the University of Palermo and a fellowship in experimental biophysics from the Italian National Research Council, he transitioned to industrial R&D and internationalization roles. He founded and led Consorzio ARCA, an innovation hub promoting knowledge-based startups and EU collaboration, serving as a regional node for EEN and EIT Health networks. His work focuses on integrating creativity, entrepreneurship, and innovation for sustainable development, with over 30 EU-funded projects led or coordinated. He is a frequent speaker on innovation and sustainability, holds three patents, and advocates for holistic approaches to energy and environmental challenges. Research interests include renewable energy technologies (solar power, energy storage), circular economy models, smart communities, and policy frameworks for sustainable transitions. He emphasizes open innovation ecosystems, particularly in Mediterranean regions, and has contributed to infrastructures like Living Labs and incubators. His expertise spans technology scouting, knowledge transfer, and fostering international partnerships.

Evangelos Papaefthymiouمشاهده پروفایل

استاد پژوهشی

• Quantum Computing
• Computational Physics
• High Performance Computing
• +۱ مورد دیگر

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 Stylianouمشاهده پروفایل

پژوهشگر

• High Performance Computing
• Distributed Computing
• Artificial Intelligence
• +۳ مورد دیگر

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.

Panayiotis Yiannis Vrionisمشاهده پروفایل

پژوهشگر

• Fluid Mechanics
• Computational Fluid Dynamics
• Optimization Techniques
• +۳ مورد دیگر

Panayiotis Yiannis Vrionis is a computational scientist at the Computation-based Science & Technology Research Center (CaSToRC) of The Cyprus Institute. He holds a diploma in Mechanical Engineering from the National Technical University of Athens (NTUA) and a Ph.D. in Mechanical Engineering from NTUA, where his doctoral research focused on developing shape and topology optimization tools using the Adjoint and Cut-cell methods in fluid mechanics. His current research emphasizes computational methods applied to wetting hydrodynamics and fluid dynamics, with a particular interest in multiphase flows and high-performance computing environments. His work integrates advanced numerical techniques such as Cut-cell and Adjoint methods to address challenges in fluid mechanics, including cavitating flows and turbulent flow optimization. His academic background includes expertise in fluid dynamics simulation, numerical methods for solving Euler and Navier-Stokes equations, and parallel computing. Vrionis' contributions span theoretical advancements and practical applications, from optimizing engineering designs to studying condensation dynamics on heterogeneous surfaces. His publications reflect a consistent focus on computational methodologies and their deployment in multiprocessor systems. No scientific awards or advised students are explicitly mentioned in the provided information.