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Edna YamasakiView profile

Professor

• Neurosciences
• Biophysics
• Public Health
• +4 more

Professor Edna Yamasaki is the Head of the Department of Life and Health Sciences at the University of Nicosia's School of Sciences and Engineering, and serves as Vice Rector for Academic Affairs. Her career spans roles in academia, research, and administrative leadership. She holds a Medicine degree from Federal Fluminense University (Brazil), followed by MSc/PhD in Biophysics (Neurobiology) from Federal University of Rio de Janeiro, and postdoctoral training at institutions including Harvard Medical School (USA) and the University of Cyprus. Her research focuses on nervous system development/degeneration, public health implications of climate change, and biomedical materials. Notable projects include the CYPHEW initiative (identifying Cyprus's heat-related health risks), polymer development for biological applications, and Erasmus+ programs promoting health-enhanced physical activity. She has contributed to environmental hydrodynamic modeling, health information systems evaluation (DIPSA framework), and disaster risk assessments for oil spills. Her work bridges neuroscience, environmental science, and public policy. Recent studies highlight aging populations' health challenges and the impact of extreme weather on mortality and hospital admissions in Cyprus. She actively collaborates on EU-funded projects addressing work safety, healthcare informatics, and climate adaptation. Professional milestones include coordinating interdisciplinary teams across multiple continents and transitioning between laboratory research to institutional leadership roles. Her leadership emphasizes fostering curiosity-driven research while addressing societal health challenges.

• 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.

Costas S. PatrickiosView profile

Professor

• Dynamic Covalent Chemistry
• Amphiphilic Copolymer Networks
• Microphase Separation
• +7 more

Costas S. Patrickios is a Professor in the Department of Chemistry at the University of Cyprus, within the School of Natural and Applied Sciences. His academic career spans over two decades, beginning as an Assistant Professor in 1998 and progressing to his current position as Professor. His research is centered on advanced polymer systems with applications spanning materials science, nanotechnology, and biomaterials. Dr. Patrickios received his Diploma in Chemical Engineering from the National Technical University of Athens (NTUA) in 1988, followed by a Master of Science in Chemical Engineering Practice from MIT in 1990. He completed his PhD at MIT in 1993 and conducted postdoctoral research at the University of Sussex from 1994-1996. His academic journey continued with a lectureship at UMIST before joining the University of Cyprus in 1998. His research focuses on dynamic covalent chemistry , amphiphilic copolymer networks , and microphase separation in polymer systems. Patrickios has made significant contributions to the understanding of polymer synthesis , controlled polymerizations , and degradable polymer networks . His work often bridges experimental and computational approaches, particularly in coarse-grained molecular dynamics simulations of polymer behavior. Recent research has expanded into applications related to RNA and DNA yield , demonstrating the versatility of his polymer systems. Analysis of his publication record reveals a strong focus on amphiphilic polymer conetworks, with consistent exploration of their synthesis, characterization, and applications. His work shows increasing integration of computational methods with experimental approaches, particularly in understanding structure-property relationships. The research spans fundamental polymer science to applied areas including energy materials, biomaterials, and smart responsive systems. Dr. Patrickios has also contributed significantly to the field through book editing, including the comprehensive volumes Amphiphilic Polymer Co-networks: Synthesis, Properties, Modelling and Applications (2020) and Polymer Networks: Synthesis, Properties, Theory and Applications (2010), which have become important references in the field. His collaborative research approach is evident through numerous international partnerships, with co-authors from institutions across Europe and beyond. This collaborative network has enabled multidisciplinary research that bridges chemistry, materials science, and engineering perspectives.

Andria ProcopiouView profile

Lecturer

• Artificial Intelligence
• Cybersecurity
• Sports Analytics
• +4 more

Dr. Andria Procopiou is a Lecturer in Artificial Intelligence and Cybersecurity at the University of Central Lancashire Cyprus, serving as Course Leader for the MSc Computing program and Deputy Course Leader for the MSc Cybersecurity. She holds a PhD in Computer Science (City, University of London, 2022), an MSc in Human-Computer Interaction (University College London, 2014), and a BSc in Computer Science (University of Surrey, 2013). Her research spans AI applications in sports analytics, cybersecurity for smart cities/IoT, hate speech detection, and metaverse safety. She has led modules in User Experience Design, Penetration Testing, and Cybersecurity. Research interests include AI-driven solutions for sports injury prediction, real-time DDoS detection in IoT networks, and ethical challenges in the metaverse. Her work emphasizes explainable AI (XAI) for transparency in decision-making systems. She has published extensively in journals like Wireless Communications and Mobile Computing and conferences such as IEEE CYBER and the International Conference on Human-Computer Interaction. Education: PhD Computer Science (City University London), MSc HCI (UCL), BSc Computer Science (University of Surrey) Key Roles: Course Leader (MSc Computing), Deputy Course Leader (MSc Cybersecurity) Administrative Contributions: Module leadership in AI, Cybersecurity, and Digital Forensics Her recent publications address critical issues like privacy concerns in smart campuses, gender-based hate speech in virtual spaces, and injury patterns in professional football using data analytics. She collaborates with industry on IoT security solutions and metaverse governance frameworks.

• 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.

Panayiotis PolycarpouView profile

Associate Professor

• Earthquake Engineering
• Structural Engineering
• Seismic Isolation
• +4 more

Dr. Panayiotis Polycarpou is an Associate Professor and Programme Coordinator of Civil & Environmental Engineering at the University of Nicosia. He holds a BSc from Aristotle University of Thessaloniki (2004), an MSc in Earthquake Resistant Design (2005), and a PhD in Civil Engineering from the University of Cyprus (2009). His research focuses on earthquake engineering, structural pounding mitigation, and computer-aided structural analysis, with expertise in object-oriented software development (Java) and numerical algorithms. He has taught at multiple institutions, including the University of Cyprus and Cyprus University of Technology, and has conducted postdoctoral research at UCY (2010–2014). His research interests include seismic isolation systems, earthquake-induced structural pounding, ancient column dynamics, and parametric studies of ground motion effects. He has published extensively on topics such as impact modeling, mitigation techniques for pounding, and historical structure vulnerability. His work integrates computational methods with experimental validation, emphasizing practical applications in engineering. Dr. Polycarpou’s contributions span academic roles, software development, and interdisciplinary projects, such as RFID systems for healthcare. He is a member of the Cyprus Technical Chamber of Engineers (ETEK) and actively engages in collaborative research, as evidenced by his 64+ publications and 841 citations (h-index 13).

• Knowledge representation and reasoning
• Planning
• Nonmonotonic reasoning
• +2 more

Yannis Dimopoulos is a Professor in the Department of Computer Science at the University of Cyprus. He has previously held research positions at the Max-Planck Institute for Computer Science in Saarbrücken and the University of Freiburg in Germany. He earned his B.Sc. and Ph.D. in Computer Science from the Athens University of Economics and Business. His primary research interests include: Knowledge representation and reasoning Planning Nonmonotonic reasoning Constraint satisfaction Machine learning His recent research, based on publications from 2017 to 2024, focuses on the theoretical and computational aspects of abstract argumentation, particularly control argumentation frameworks, probabilistic extensions, and the integration of argumentation with Boolean networks and negotiation under incomplete information. He has also contributed significantly to Answer Set Programming (ASP) for planning, developing the plasp 3 framework for effective ASP-based planning solutions. His scholarly work appears in top-tier venues such as AAAI, IJCAI, ECAI, KR, AAMAS, and journals like Artificial Intelligence and Autonomous Agents and Multi-Agent Systems. His most frequent collaborators include Pavlos Moraitis, Jean-Guy Mailly, Antonis C. Kakas, and Wolfgang Dvorák. No scientific awards or honors are mentioned in the provided text. Yannis Dimopoulos has advised or collaborated with several researchers, including Jean-Guy Mailly, Pavlos Moraitis, Nabila Hadidi, and Muhammad Adnan Hashmi, though formal student-advisor relationships are not explicitly detailed. His work often involves theoretical and computational modeling, and while specific grants or funding sources are not listed, his sustained publication record suggests active research support. He is actively involved in research teams and collaborations focused on argumentation, multi-agent systems, and automated reasoning, as evidenced by his extensive co-authorship network.

• eHealth
• mHealth
• Medical Imaging Analysis
• +4 more

Constantinos S. Pattichis is a Professor of Computer Science and Director of the Biomedical Engineering Research Centre at the University of Cyprus. He also leads the HealthXR Group at CYENS Centre of Excellence and serves as a technical leader on high-impact EU-funded projects, including the EU Digital Covid Certificate Platform and the national eHealth4U initiative. His research focuses on eHealth, mHealth, medical imaging, and AI-driven healthcare solutions. **Education**: Ph.D., Electronic Engineering, University of London (1992) MSc, Neurology, University of Newcastle Upon Tyne (1991) MSc, Biomedical Engineering, University of Texas at Austin (1984) BSc, Electrical Engineering, University of New Brunswick (1983) Technician Engineer, Higher Technical Institute, Cyprus (1979) **Research Interests**: eHealth systems, mHealth interventions using Extended Reality (XR), medical image analysis (MRI, ultrasound), biosignal analysis, and explainable AI for clinical decision support. His work addresses challenges in stroke risk assessment, multiple sclerosis progression, and telemedicine accessibility. **Awards & Roles**: Fellow of IEEE, IET, IAMBE, and EAMBES. He has managed over €20M in EU grants, edited multiple books on mHealth and biomedical imaging, and serves on editorial boards of journals like IEEE Journal of Biomedical and Health Informatics. He has published ~409 peer-reviewed works (150 journals, 259 conferences) with an h-index of 54. **Grants & Projects**: Led projects such as the EU Digital Covid Certificate Platform, eHealth4U (national eHealth ecosystem), and the IPMT Excellence Centre. Active in standardizing cross-border eHealth services via EU CEF programs. **Labs & Teams**: Directs the eHealth Lab at the University of Cyprus and collaborates with CYENS on HealthXR innovations. His work includes developing VR tools for dementia care, teleconsultation apps, and AI-driven diagnostic systems.

• Database Systems
• Mobile and Pervasive Data Management
• Distributed Computing
• +5 more

Panos K. Chrysanthis is a Professor of Computer Science at the University of Pittsburgh and an adjunct Professor at Carnegie-Mellon University and the University of Cyprus. He holds a BS in Physics with a Computer Science concentration from the University of Athens, Greece, and MS and PhD degrees in Computer and Information Sciences from the University of Massachusetts Amherst. He has been affiliated with the University of Pittsburgh since 1991, serving as Director of the Advanced Data Management Technologies (ADMT) Lab. His research focuses on database systems, mobile and pervasive data management, distributed computing, and real-time systems, with recent emphasis on data streams and energy-efficient data management for IoT and sensor networks. Chrysanthis has authored over 100 peer-reviewed publications, including a book on transaction processing and consistency in distributed databases. He has received the NSF CAREER Award (1995) and the University of Pittsburgh's Provost Award for Excellence in Mentoring (2015). He has held editorial roles at the VLDB Journal, IEEE TKDE, and DAPD, and has organized major conferences like ICDE and MDM. His work bridges theoretical database research with practical applications in urban informatics, healthcare, and sustainability. Chrysanthis has advised numerous students, contributed to grants focused on big data and healthcare analytics, and co-developed tools like the ADMT Lab's experimental platforms for urban mobility and congestion. He is a Senior Member of IEEE and an ACM Distinguished Scientist.

• Psychiatry
• Neuropsychiatry
• Psychosis
• +3 more

Rigas-Filippos Soldatos serves as a Visiting Assistant Professor in the Department of Psychiatry at the Medical School of the National and Kapodistrian University of Athens, where he currently holds an Academic Fellow position in Neuropsychiatry at Aeginitio Hospital's First Neurological Clinic since May 2021. His academic career includes prior roles as an Academic Fellow in Psychiatry at the university's First Psychiatric Clinic (2014-2020) and a Research Fellow in Neuropsychiatry at the University of Melbourne's Melbourne Neuropsychiatry Centre (2019-2020) under a Greek-Australian Research Fellowship. His educational credentials feature a Doctoral degree (2014) from the National and Kapodistrian University of Athens' 1st Department of Pathological Anatomy with thesis 'Molecular study of meningiomas', a Medical degree (2005) from the same institution's Medical School, and a Bachelor of Science in Biomedical Science (1999) from King's College London. Soldatos specializes in advanced psychiatric research focusing on first-episode psychosis , schizophrenia spectrum disorders , and exposome-environment interactions . His work integrates machine learning methodologies to develop predictive models for symptom remission while examining socioeconomic and familial influences on disease progression. He actively contributes to the Athens first-episode psychosis research study , advancing early intervention frameworks through longitudinal clinical investigations. Analysis of his publication record reveals a concentrated research trajectory on computational psychiatry applications, with recent work emphasizing exposome scoring systems in schizophrenia and pandemic-related caregiver impacts in neurocognitive disorders. His methodological approach bridges clinical psychiatry with data science to address critical gaps in psychosis management and functional outcomes. As a core collaborator in the Athens first-episode psychosis research initiative, Soldatos operates within multidisciplinary teams at Aeginitio Hospital while maintaining international research connections established during his fellowship at the Melbourne Neuropsychiatry Centre.

Kristis AlexandrouView profile

Researcher

• Structural Design
• Computational Design
• Building Information Modelling (BIM)
• +5 more

Kristis Alexandrou is a Researcher at the Science and Technology in Archaeology and Culture Research Center (STARC) of The Cyprus Institute. He holds a Master’s degree in Architecture (MA) and a Ph.D. in Architectural Engineering from the University of Cyprus, focusing on hybrid bending-active structural systems. His research emphasizes Structural Design, Computational Methods, and BIM applications in heritage conservation. He contributes to projects like ENI-CBC-MED BEEP, RIF-UrbanPeriscope, and Horizon Infra, advancing BIM interoperability for cultural heritage data management. His professional experience includes architectural design and heritage retrofitting in Cyprus. At STARC’s Virtual Environments Lab (VElab), he develops BIM-based workflows to address data interoperability challenges in arts and humanities. Key projects include 'BIM to BPS interoperability' leadership in the BEEP Project and semantic data integration for Mediterranean heritage sites. His work bridges computational innovation with sustainable heritage preservation.

Aristidou AndreasView profile

Associate Professor

• Human Motion Analysis
• Computer Graphics
• Machine Learning
• +3 more

Aristidou Andreas is an Associate Professor at the Department of Informatics, University of Cyprus. His academic journey includes a BSc from National and Kapodistrian University of Athens (2005), MSc from King's College London (2006), and a PhD from the University of Cambridge (2011). He has held postdoctoral positions at multiple institutions and served as a visiting professor at the University of Nicosia. His research focuses on human motion analysis, computer graphics, cultural heritage digitization, and geometric algebra applications. He is a senior member of IEEE, ACM, and Eurographics, and serves on editorial boards for journals like The Visual Computer. Research highlights include the FABRIK algorithm (widely used in game engines) and motion capture innovations for cultural heritage preservation. Awards include the DIDAKTOR scholarship, Erasmus Mundus Grant, and NVIDIA GPU grant. He leads projects funded by EU initiatives (e.g., ITN-DCH, SCHEDAR) and collaborates internationally on digital twins, virtual museums, and AI-driven motion synthesis. Key contributions span 3D motion analysis, motion reconstruction from sparse data, and emotion recognition in theater performances. His work bridges computational methods with cultural preservation, biomedical applications, and interactive VR systems.

Hadi Işık AybayView profile

Professor

• Computer Engineering
• Neural Networks
• Distributed Systems
• +4 more

Prof. Dr. Hadi Işık Aybay is a distinguished Professor of Computer Engineering at Eastern Mediterranean University (EMU), North Cyprus. He has held academic roles including Department Chairman of Computer Engineering (1994–2004 and 2013–present) and Director of EMU's Distance Education Institute (2000–2013). He earned his PhD in Electrical and Electronic Engineering from METU (1989) and served as an Assistant/Associate Professor before becoming a full Professor in 2013. His research spans neural networks, distributed systems, and e-learning technologies. Education: PhD, Electrical and Electronic Engineering, Middle East Technical University (1989) M.Sc., Electrical and Electronic Engineering, METU B.Sc., Electrical and Electronic Engineering, METU Research Interests: Prof. Aybay's work focuses on computer engineering innovations, including neural network hardware, distributed multimedia systems, and wireless communication protocols. He pioneered EMUOnline, a blended learning platform, and contributed to science park development in North Cyprus. His research also addresses challenges in video streaming optimization and adaptive resource allocation in cellular networks. Key Achievements: He led over 15 projects, including EU-funded initiatives like 'Deep Farm' (2024–2025). His publications (80+ papers) span IEEE journals and conferences, with 281 Google Scholar citations. Awards include the 1973 National Project Contest First Prize and the 1990 Best Thesis Award (supervised). Grants and advising: Supervised 3 PhD and 28 MSc students. Current projects include AI-driven agriculture (Erasmus+). Grants include EU funding (€1M) and Turkish Republic of Northern Cyprus initiatives. Labs/Teams: Active in the EMU Computer Engineering Department's research groups, focusing on distributed systems and e-learning infrastructure.

Harald GjermundrodView profile

Professor

• Distributed Computing Systems
• Computer Security
• Cyber Security
• +5 more

Harald Gjermundrod is a Professor of Computer Science in the Department of Computer Science at the University of Nicosia's School of Sciences and Engineering, where he has served since September 2008. Previously, he was a Post-Doctorate Associate (2006-2008) at the High-Performance Computing Systems Laboratory, University of Cyprus. Education: PhD in Computer Science, Washington State University (2006) MS in Computer Science, Washington State University (2001) BS in Computer Science, Washington State University (1999) Dipl.-Ing, Oslo Metropolitan University (1998) His research spans Distributed Computing Systems , Computer Security , Blockchain Technology , and Data Protection , with emphasis on practical implementations like GridStat middleware for power grids and privacyTracker for GDPR compliance. As co-director of the Informatics Security Laboratory, he leads research on active defense mechanisms and data protection frameworks. His 87+ publications since 2001 show evolving focus from grid computing (2006-2010) to blockchain applications (2016-present), with recent work emphasizing privacy engineering, secure e-voting, and AI-driven security analytics. Key trends include transitioning from infrastructure-focused research (GridStat, ICGrid) to policy-compliant systems (privacyTracker, HoneyCY). Scientific Recognition: Senior Member of ACM Eclipse Committer Status (Alumni) Chair of ACM Cyprus Chapter (2015-2018) He has secured funding from EU programs, US National Science Foundation, and National Institute of Technology, developing software products including GridStat (critical infrastructure middleware), ICGrid (medical data sharing), and ReProTool (Bologna Process compliance). His supervision has produced student-developed prototypes like NoteLocker and HoneyCY. Current projects include privacyTracker (GDPR compliance) and SmartTeV (blockchain voting). As co-director of the Informatics Security Laboratory, he oversees research on active defense systems, honeypot frameworks (HoneyCY), and verifiable data traceability, with applications in e-government and healthcare security.

• Artificial Intelligence
• Internet of Things (IoT)
• Blockchain Technology
• +7 more

MSc. Sinem Alturjman is a Lecturer in the Department of Artificial Intelligence Engineering at Near East University's College of Engineering. Her academic work focuses on the intersection of artificial intelligence, blockchain technology, and internet of things (IoT) systems. Research areas include: Development of AI-powered learning facilitators and educational tools Integration of blockchain for secure IoT architectures Optimization of mobile cloud computing services Application of machine learning in cybersecurity frameworks 6G communication systems with intelligent routing protocols Recent publications demonstrate expertise in: AI-enhanced scheduling mechanisms Decentralized cloud-IoT architectures Reinforcement learning applications Smart healthcare systems with blockchain Energy-aware routing protocols for sensor networks