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Christos NicolaidesView profile

Assistant Professor

• Data Science
• Machine Learning
• Social Networks
• +5 more

Christos Nicolaides is an Assistant Professor at the Department of Business and Public Administration within the School of Economics and Management at the University of Cyprus (UCY), holding a secondary appointment as a Digital Fellow at MIT's Initiative on the Digital Economy. Previously, he spent three years as a James McDonnell Foundation-funded Postdoctoral Fellow at MIT Sloan School of Management. His educational background includes a PhD in Engineering from Massachusetts Institute of Technology (2014), SM from MIT (2011), MSc in Applied Mathematics from Imperial College London (2009), and BSc in Physics from University of Thessaloniki (2008). Nicolaides' research applies mathematical, statistical, and computational tools to large-scale empirical questions in social influence mediated by digital technologies. His work spans Data Science , Machine Learning , Social Networks , and Computational Social Science , with significant contributions to understanding human mobility patterns, disease transmission dynamics, and social contagion effects. His research has established novel methodologies for analyzing complex network structures in mobility data and social interactions. Analysis of his 15 most recent publications reveals a consistent focus on applying network science to real-world problems, particularly in pandemic response (12 publications), human mobility analytics (9 publications), and social contagion dynamics (7 publications). His work demonstrates increasing interdisciplinary integration, combining computer science, epidemiology, and organizational behavior since 2020. Marie S. Curie Fellow Two Highly Cited Papers by Web of Science (2017, 2020) Best Paper Award by Risk Analysis Society (2019) Professor of The Week by Poets & Quants (2020) As principal institutional investigator, Nicolaides has secured over €1 million in research funding from the European Commission, industry partners, Cyprus Innovation and Research Foundation, and Cyprus Ministry of Health. His current teaching includes Social Networks and Entrepreneurship, Introduction to Operations Management, and Quantitative Methods in Management. Media coverage of his work spans major outlets including The New York Times, CNN, Nature, and Science, with significant impact on public health policy discussions during the COVID-19 pandemic.

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.

Angelos GeorghiouView profile

Associate Professor

• Stochastic Optimization
• Robust Optimization
• Operations Management
• +4 more

Angelos Georghiou is an Associate Professor of Operations Management at the Department of Business and Public Administration, University of Cyprus. He previously held academic positions as Assistant Professor at McGill University (2016–2019), Post-Doctoral Researcher at MIT (2012–2013), and Postdoctoral Researcher at ETH Zurich (2013–2016). His work bridges computational methods in stochastic and robust optimization with applications in healthcare, energy systems, and operations management. Ph.D. in Operations Research, Imperial College London (2012) M.Sci. in Mathematics, Imperial College London (2008) His research focuses on stochastic optimization , robust optimization , and decision rules , addressing challenges in healthcare analytics , energy-efficient control systems , and machine learning integration . Recent publications in Management Science and Operations Research highlight his contributions to decision-dependent information discovery and computational frameworks. Key trends in his 15 most recent articles include: Advancing robust optimization techniques for multistage problems Applications in healthcare (psychiatric risk prediction) and energy systems Integration of machine learning with stochastic programming Development of tractable algorithms for complex decision environments Scientific Awards : Esdras-Minville Best Student Paper Award (2023) He serves on editorial boards of Operations Research Letters (Area Editor) and Management Science , and collaborates with institutions like MIT, ETH Zurich, and McGill University. His work with undergraduate students includes a 2021 paper in SIAM Undergraduate Research Online .

Savvas G. LoizouView profile

Professor

• Control Theory
• Robotics
• Autonomous Systems
• +7 more

Savvas G. Loizou is a faculty member at the Cyprus University of Technology , affiliated with the Department of Mechanical and Materials Science and Engineering . He established the Robotics, Control, and Decision Systems Laboratory (RCDS Laboratory) in 2011. Education: PhD in Mechanical Engineering (2005) and Eng. Diploma (2000) from National Technical University of Athens (NTUA). Postdoctoral Experience: GRASP Laboratory, University of Pennsylvania (2005–2007). His research focuses on control theory for autonomous robotic systems , with applications in underwater, aerial, ground, and micro-robotics . Key areas include multi-agent coordination , human-robot interaction , task planning , and sensor-based navigation . Recent work emphasizes logistics automation , UAV hardware platforms , and bounded control algorithms . Dr. Loizou has contributed to multi-agent formation control , underwater vision systems , and nonlinear model predictive control for electric vehicles. He is active in control system design and navigation transformations for complex environments. His laboratory, RCDS , serves as a hub for research in autonomous systems and decision-making algorithms.

• Optimization Algorithms
• Computer Vision
• Machine Learning
• +3 more

Assoc. Prof. Dr. Adnan Acan is a faculty member in the Department of Computer Engineering at Eastern Mediterranean University (EMU). He holds a PhD from Middle East Technical University, specializing in Electrical Engineering. His academic roles include teaching and supervising numerous graduate students in areas such as optimization algorithms, computer vision, and biomedical signal processing. Education: PhD, Electrical Engineering, Middle East Technical University (1992) MS, Electrical Engineering, Middle East Technical University (1985) BS, Electrical Engineering, Middle East Technical University (1983) Research Interests: His research focuses on optimization algorithms, machine learning, pattern recognition, and biomedical applications. Notable areas include metaheuristic algorithms (e.g., particle filters, great deluge), multi-agent systems, and ECG/heartbeat classification. He has contributed to advancements in computational intelligence, evolutionary algorithms, and medical diagnostics. Advising & Students: He has supervised over 30 graduate students, including PhDs such as JAMSHID TAMOUK (2021) and ZAHRA GOLRIZ KHATAMI (2019), and master’s students like MILAD ROSTAMPOUR (2023). His work spans applications in robotics, face recognition, and numerical optimization. Labs & Collaboration: His teaching and research involve courses in artificial intelligence, algorithms, and computer engineering. He actively contributes to academic service, including roles as a session chair and reviewer in conferences. His lab focuses on developing innovative solutions to complex computational and biomedical challenges.

• foundations
• expansive soils
• slope stability
• +5 more

Dimitrios Loukidis serves as Associate Professor in the Department of Civil and Environmental Engineering at the University of Cyprus, where he has been a core faculty member since January 2009. His academic foundation includes a Civil Engineering degree from the National Technical University of Athens (1999) and advanced geotechnical specialization through MSCE (2000) and PhD (2006) degrees from Purdue University, followed by postdoctoral research there (2006-2008). Educational Background: Civil Engineering, National Technical University of Athens (1999) MSCE in Geotechnical Engineering, Purdue University (2000) PhD in Geotechnical Engineering, Purdue University (2006) Professor Loukidis maintains a robust research program addressing critical geotechnical challenges through both theoretical and applied approaches. His work spans foundations engineering , expansive soils behavior (particularly Nicosia marl), slope stability and landslide mechanics , offshore geotechnics for pipeline systems, and advanced computational geomechanics including constitutive modeling and seismic analysis. Recent investigations integrate machine learning with traditional geotechnical methods to enhance landslide susceptibility mapping. His 15-year publication trajectory reveals evolving expertise: early work focused on fundamental soil-pile interaction and bearing capacity mechanisms (2008-2012), transitioning toward complex geohazard analysis including fault-rupture propagation (2009), offshore pipeline-fault interactions (2020-2023), and sophisticated modeling of expansive soil behavior (2018-2024). The 2025 publication demonstrates cutting-edge integration of machine learning with geotechnical parameters for landslide prediction in Southwestern Cyprus. No scientific awards are documented in the provided materials. While specific student advising details and grant information aren't disclosed, his collaborative publications with researchers like Triantafyllaki, Tzampoglou, and Papanastasiou indicate active participation in Cyprus-focused geotechnical research teams. Current investigations center on urban development impacts on paleolandslides (Pissouri case study) and machine learning-enhanced geohazard assessment. Laboratory work appears centered on computational geomechanics modeling, with recent publications utilizing advanced numerical techniques for large deformation analysis and hybrid optimization algorithms. The research group maintains strong field validation components, particularly for Nicosia marl behavior and offshore pipeline performance under tectonic stresses.

Mian PanView profile

Associate Professor

• Machine Learning
• Radar Signal Processing
• Pattern Recognition
• +3 more

Mian Pan is an Associate Professor at Hangzhou Dianzi University. He holds a B.S. in Electronic Engineering (2007) and a Ph.D. in Signal Processing (2013) from Xi'dian University, Xi’an, China. His research focuses on machine learning, radar signal processing, pattern recognition, and audio/video/image processing algorithms. Education: Ph.D. in Engineering Sciences, 2013, Xi'dian University B.S. in Electronic Engineering, 2007, Xidian University Research Interests: Mian Pan explores advanced machine learning techniques for radar signal analysis, develops algorithms for pattern recognition in complex systems, and investigates efficient processing methods for audio, video, and image data. His work bridges theoretical foundations with practical applications in signal processing domains. Publications & Awards: No specific articles, grants, or awards are listed in the provided information. Advising & Labs: No student advisees, lab affiliations, or grant details are mentioned.

• Computer Science
• Algorithm Theory
• Game Theory
• +3 more

Professor Mavronicolas Marios is a faculty member in the Department of Computer Science at the University of Cyprus. His academic journey includes a Diploma in Electrical Engineering (Summa Cum Laude) from the National Technical University of Athens (1985) and a Ph.D. in Computer Science from Harvard University (1992). His research focuses on Algorithm Theory, Game Theory, Distributed Computing, Networking, and Internet Systems. He has held visiting positions at institutions such as the University of Connecticut and the University of Paderborn. Over 100 publications in top-tier venues highlight his contributions to computational complexity, Nash equilibria, and network security. His work bridges theoretical computer science with practical applications, emphasizing strategic decision-making and distributed systems. Research areas include the computational complexity of Nash equilibria, game-theoretic models for network security, and algorithmic challenges in distributed systems. He has explored topics like risk-averse equilibria, congestion games, and the structural properties of multi-player games. His recent work addresses decision problems in win-lose scenarios and the existence of equilibria under varying valuation functions.

Shahin Mehdipour AtaeeView profile

Assistant Professor

• Semantic Web Services
• Abstract State Machine Choreography
• Logic Programming
• +3 more

Yrd. Doç. Dr. Shahin Mehdipour Ataee is an Assistant Professor in the Department of Computer Engineering at the Faculty of Engineering, Final University. His research focuses on semantic web services choreography, logic programming, and formal methods in computer engineering. He holds a PhD in Computer Engineering from Eastern Mediterranean University (2018), an MSc in Software Engineering from Qazvin Azad University (2010), and a BSc in Computer Engineering from Mazandaran University of Science and Technology (2006). His work emphasizes the application of abstract state machines (ASM) and F-Logic to solve complex problems in service-oriented architectures. Notable contributions include developing algorithms for semantic web service composition and applying logic-based frameworks like Flora-2 to AI challenges such as the Wumpus World. His research also extends to video analysis for periodic activity detection. No scientific awards or grants explicitly listed in the provided information. His academic profile includes a strong focus on both theoretical advancements and practical implementations in computer science domains. Currently affiliated with Final University’s Faculty of Engineering, his educational background spans multiple institutions across different countries, reflecting a global academic trajectory. No specific labs or teams are mentioned in the current data.

Apostolos GiannakosView profile

Researcher

• Geospatial Artificial Intelligence
• Machine Learning
• Satellite Meteorology
• +5 more

Dr. Apostolos Giannakos is a Researcher at the Climate and Atmosphere Research Center (CARE-C) of The Cyprus Institute, specializing in geospatial artificial intelligence for weather, climate, and environmental applications. His work involves developing machine learning algorithms and GPU-accelerated data science workflows for Earth observation analysis. He earned his PhD in Satellite Meteorology from the Department of Meteorology and Climatology, Faculty of Geology, Aristotle University of Thessaloniki, Greece. His research integrates computational techniques with environmental science through: Geospatial AI for environmental monitoring and prediction Satellite Meteorology and nowcasting systems development Remote Sensing model validation using complex EO datasets Geoinformatics infrastructure for climate data processing GPU-accelerated workflows in atmospheric and environmental modeling As a core member of CARE-C, Dr. Giannakos advances computational approaches to climate research within The Cyprus Institute's interdisciplinary framework.

• Endodontics
• Regenerative Dentistry
• Dental Pulp Biology
• +2 more

Anna Digga is an Assistant Professor in the Department of Dentistry at the European University of Cyprus's Dental School. She holds a PhD (2013), Master's (2000), and Bachelor's (1998) from Aristotle University of Thessaloniki, Greece, with her doctoral thesis focusing on immunochemical studies of dental pulp vessels and 3D representation. Her research specializes in regenerative endodontics , particularly leveraging stem cell technology for dental tissue repair, and explores dental pulp biology, 3D reconstruction techniques, and clinical endodontics. Recent publications emphasize systematic reviews and experimental studies in regenerative therapies. She received the Postdoctoral Research Fellowship (2019-2021) from Greece's State Scholarships Foundation for her project: "Regenerative techniques in Endodontics: study of cryopreservation effects on Stem Cells of Apical Papilla (SCAPs)." Dr. Digga has contributed to international research collaborations, including EU-funded projects on 3D reconstruction in dentistry (e.g., "TASTY" program) and served as a reviewer for the Journal of Medicine and Life .

• Theoretical Computer Science
• Digital Geometry
• Automata Theory
• +3 more

Benedek Nagy is a Professor in the Department of Mathematics at Eastern Mediterranean University's Faculty of Arts and Sciences. His research spans Theoretical Computer Science , Digital Geometry , and Automata Theory , focusing on non-standard grids and computational models. Education : PhD in Mathematics and Computer Science (2004), MS in Physics Teaching (2000), MA in Philosophy with Logic specialization (1998), BS in Programming Mathematics (1997). Research : Core work includes Watson-Crick automata, neighborhood sequences in digital geometry, and discrete mathematics on triangular/hexagonal grids. Projects : Vector Addition on a Triangular Grid (2018). Awards : EMU Research Incentive Award (2021) EMU Research Incentive Award (2020) EMU Research Incentive Award (2017) Students : Supervised 11 PhD and 6 Master's students, including Mohammadreza Saadat, Aydın Avkan, and Raghda Ezzeldin. Publications : Over 139 works with zbMATH, focusing on computational models, digital distance functions, and grid-based algorithms.

• Petri Nets
• Mathematical Modeling
• Computational Biology
• +3 more

Professor RZA BASHIROV is a distinguished faculty member in the Department of Mathematics at Eastern Mediterranean University's Faculty of Arts & Sciences. He maintains his office in AS141 and can be reached at +90 392 630 1005 with his professional correspondence handled through rza.bashirov@emu.edu.tr. His educational background includes: PhD (1990) in Physical and Mathematical Sciences from Moscow State University MS (1978-1982) in Mathematics from Azerbaijan State University BS (1888-1982) in Applied Mathematics from Azerbaijan State University Professor BASHIROV's research primarily focuses on Petri Nets and their diverse applications across scientific domains. His work demonstrates exceptional versatility in applying mathematical modeling techniques to complex biological systems, interconnection networks, and cryptographic algorithms. He has pioneered the use of hybrid Petri Net approaches that bridge discrete and continuous modeling paradigms, enabling more accurate representations of dynamic systems in both computational biology and network engineering contexts. His research methodology consistently emphasizes quantitative validation of theoretical models against real-world data. Throughout his extensive academic career, Professor BASHIROV has supervised 17 graduate students to completion, including 5 PhD candidates and 12 Master's students. His supervision portfolio spans nearly three decades, reflecting his enduring commitment to academic mentorship and the development of next-generation researchers in mathematical sciences. His current research initiatives include the project 'Predicting Efficient Drug Combinations for Spinal Muscular Atrophy using Petri Net Technologies' (2018-2019), which exemplifies his ability to translate theoretical mathematical frameworks into practical medical applications with potential clinical impact.

Dong ZhaoView profile

Research Fellow

• Fault diagnosis
• Fault-tolerant control
• Two-dimensional systems
• +6 more

Dong Zhao is a Research Fellow at the KIOS Research and Innovation Center of Excellence, University of Cyprus. He holds a Ph.D. in Control Science and Engineering from Beijing University of Chemical Technology (2016) and a B.S. in Automation (2011). B.S., Automation, Beijing University of Chemical Technology, 2011 Ph.D., Control Science and Engineering, Beijing University of Chemical Technology, 2016 His research focuses on fault diagnosis , fault-tolerant control , two-dimensional systems , linear estimation , and active disturbance rejection control . Recent work emphasizes resilience in cyber-physical systems under cyber-attacks and advanced data-driven control methodologies. The 15 most recent publications highlight trends in distributed control for nonlinear systems, cybersecurity in industrial systems , soft sensing , and encrypted control systems . Topics include replay attack detection , deception attacks , and applications to power systems and quadcopters. Current affiliations include postdoctoral research at the University of Cyprus since 2018, following a postdoctoral fellowship at the University of Duisburg-Essen (2017–2018). Research is conducted at the KIOS Research and Innovation Center of Excellence.

XENOPHONTOS CHRISTOSView profile

Professor

• Numerical Analysis
• Numerical Solution of Partial Differential Equations
• Finite Element Methods
• +1 more

Christos Xenophontos is a Professor in the Department of Mathematics and Statistics at the University of Cyprus (UCY), where he has served as an academic since 2004. He currently holds the position of Director of the Teaching and Learning Center (KE.DI.MA.) since 2022. His academic journey includes a B.Sc. (High Honors) in Mathematics from the University of William & Mary (1991), an M.Sc. (1993), and a Ph.D. in Applied Mathematics (1996) from the University of Maryland, Baltimore County. He has held positions at Ohio State University, Clarkson University, Loyola University, and UCY before his promotion to Professor in 2017. His research focuses on Numerical Analysis and Scientific Computing, with a particular emphasis on Finite Element Methods (FEM), singularly perturbed problems, partial differential equations, and computational mechanics. Notable contributions include advancements in hp-FEM for boundary value problems, isogeometric analysis, and numerical solutions to reaction-diffusion systems. His work bridges theoretical analysis and practical computational methods, addressing challenges in multi-scale and high-order systems. Xenophontos’ scholarly output includes over 60 peer-reviewed articles, with recent trends focusing on hp-FEM for singularly perturbed systems, neural network applications in numerical methods, and adaptive algorithms for complex boundary value problems. His methodologies emphasize robustness, exponential convergence, and error estimation in non-standard domains. He actively engages in international collaborations and contributes to academic leadership through his directorship at KE.DI.MA.