Machine Learning Professors and Supervisors in Cyprus | ApplySharif

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Rigas-Filippos SoldatosView profile

Visiting Assistant Professor

European University CyprusCyprus

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.

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Ahsan FayyazView profile

Researcher

University of CyprusCyprus

Ahsan Fayyaz is a Research Engineer I at the KIOS Research and Innovation Center of Excellence and a current M.Sc. student in Artificial Intelligence jointly offered by the Department of Electrical and Computer Engineering and the Department of Computer Science at the University of Cyprus. He holds a BS in Electrical Engineering from COMSATS University Islamabad (2021).

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Nearchos PaspallisView profile

Professor

University of Central Lancashire, CyprusCyprus

Prof. Nearchos Paspallis is the Head of the School of Sciences and Professor in Mobile and Distributed Systems at UCLan Cyprus. He holds a PhD in Computer Science from the University of Cyprus (2010) and has extensive academic leadership roles, including Deputy Head of School (2020–2022) and Chair of the Teaching and Learning Enhancement Committee (2018–2023). His teaching responsibilities include leading the BSc (Hons) Computing program and delivering modules on software development, mobile computing, and algorithms. Education: PhD Computer Science (University of Cyprus, 2010), MSc Computer Science (University of California, 2002), BEng/MEng Computer Engineering and Informatics (University of Patras, 2001). His research focuses on software engineering , distributed systems , and mobile computing , with recent work on machine learning applications, context-aware systems, and computer science education. He has pioneered initiatives like Code Cyprus to inspire youth in coding and co-led EU-funded projects such as WIDERa (€4.2M) and MentorME (€296K). Key Awards: Shortlisted for 2024 Outstanding Contribution award, Best Paper (2016), Fulbright Scholarship (2001). Prof. Paspallis has supervised multiple research projects, including a PhD on MMOG backend architectures. His outreach efforts extend to judging hackathons and robotics competitions, emphasizing STEM engagement.

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Hakan AltınçayView profile

Professor

Eastern Mediterranean UniversityCyprus

Prof. Hakan Altınçay is a Full Professor in the Department of Computer Engineering at Eastern Mediterranean University (EMU). He holds a PhD from Middle East Technical University (METU), Turkey (2000), and has been at EMU since 2000, progressing from Assistant Professor (2000–2005) to Full Professor (2012–present). His research focuses on machine learning, including imbalance learning, feature selection, ensemble methods, and biomedical data analysis. He has supervised 10+ PhD and Master’s theses and authored over 50 journal and conference papers. Education: BEng in Electrical and Electronics Engineering (METU, 1993), MSc and PhD in Electrical Engineering (METU, 2000). Awards include the IEEE Third Best Paper Award (2003) and TÜBİTAK PhD Scholarship. He serves on editorial boards (e.g., Applied Intelligence Journal) and chairs academic committees at EMU. Key contributions include algorithms for imbalanced data classification (MaMiPot), feature selection techniques, and biomedical applications like diabetes prediction. His work addresses challenges in text categorization, speaker verification, and ensemble classifier design.

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Aristidou AndreasView profile

Associate Professor

University of CyprusCyprus

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.

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Harald GjermundrodView profile

Professor

University of NicosiaCyprus

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.

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KARAMANOU IRENEView profile

Professor

University of CyprusCyprus

Irini Karamanou is a Professor at the School of Economics and Management, University of Cyprus. She holds a Ph.D. in Business Administration (Accounting) from The Pennsylvania State University (2000), an MBA (Hons) in Marketing/Management from Maastricht School of Management (1994), and a BBA (Summa Cum Laude) in Accounting from The University of Houston (1991). She is a Certified Public Accountant (Texas, 1995). Ph.D. – Business Administration (Accounting), The Pennsylvania State University (2000) MBA (Hons) – Marketing/Management, Maastricht School of Management (1994) BBA (Summa Cum Laude) – Accounting, The University of Houston (1991) Her research focuses on empirical analysis of capital markets, examining how financial information influences capital allocation. Key areas include the relationship between information and firm value, regulatory impacts on financial reporting, and the role of financial analysts in market efficiency. She has studied both developed (UK/US) and emerging markets, with a particular emphasis on IFRS adoption and corporate disclosures. Recent publications analyze GAAP selection in IFRS-adopting firms, algorithmic trading effects on corporate innovation, and regulatory changes in analyst research production. Her work spans journals like the Journal of Corporate Finance, The International Journal of Accounting, and Accounting and Business Research. Best Paper Award (Journal of Accounting, Auditing and Finance, 2011) Karamanou has collaborated extensively with co-authors such as Charitou, Kopita, Prakash, and Rykaczewski. Her research often addresses legislative frameworks (e.g., Regulation FD), market structure (e.g., tick size pilots), and corporate governance mechanisms (e.g., audit committees).

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Sinem AlturjmanView profile

Lecturer

Near East UniversityCyprus

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

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Panos PapanastasiouView profile

Professor

University of CyprusCyprus

Professor Panos Papanastasiou is affiliated with the Department of Civil and Environmental Engineering at the University of Cyprus, within the School of Engineering. He has held significant administrative roles including founding President of his department, Dean of the School of Engineering, and founding Director of the Master's Program in Natural Gas Engineering. PhD in Civil Engineering, University of Minnesota (1990) MS in Civil Engineering, University of Minnesota (1986) BSc in Civil Engineering, National Technical University of Athens (1984) His research focuses on geomechanics across petroleum engineering, energy transition, and environmental applications. Key areas include hydraulic fracturing , wellbore stability , sand production , and CO2 geological storage . He also investigates green hydrogen storage , photovoltaic cracking , and offshore pipeline dynamics . Recent publications highlight his leadership in hydraulic fracturing modeling (2025), green hydrogen integration (2024), and geomechanical analysis of faulted reservoirs (2025). His work spans computational mechanics, energy systems, and environmental risk assessment. Scientific Recognition : Top 2% scientist worldwide in Geoscience, Energy and Engineering (Stanford University ranking)

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Dimitriou LoukasView profile

Associate Professor

University of CyprusCyprus

Dr. Dimitriou Loukas is an Associate Professor in the Department of Civil and Environmental Engineering at the University of Cyprus, leading the Laboratory of Transportation Engineering. He holds a PhD from the National Technical University of Athens (NTUA) and has held academic positions at King Saud University and the University of Cyprus. His research focuses on sustainable transportation systems, leveraging AI, big data, and econometrics to optimize transport performance and policy design. He teaches 2 mandatory undergraduate and 5 postgraduate courses in Transport Infrastructure Management. His work spans smart city mobility, micromobility systems, freight transport optimization, and emerging transport technologies. He has secured significant national and EU research funding, reviews for top journals, and participates in international conference committees. Key research areas include: Equity in transit budget allocation Spatiotemporal analysis of shared mobility Electric vehicle policy optimization Data-driven infrastructure maintenance Airport network pandemic control strategies His laboratory develops decision-support frameworks for transport systems, integrating machine learning with traditional engineering methods to address urban mobility challenges.

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Andreas SavvaView profile

Associate Professor

University of NicosiaCyprus

Dr. Andreas Savva is an Associate Professor at the Department of Computer Science , School of Sciences and Engineering , University of Nicosia . He has over 25 years of teaching experience across institutions like the University of North London, Kingsway College, Intercollege, and the University of Nicosia. Education: BSc Hons (First class) in Mathematics and Computing, University of North London PhD in Computer Graphics, University of North London His research focuses on Geometric Modeling , Subdivision Surfaces , and Spline Methods , with over 50 publications. Recent work includes interdisciplinary studies in Computing Education , Accessibility in Information Systems , and Real-Time Emotional Analysis via machine learning. The 15 most recent articles span topics in geometric modeling, software development, and educational technology. Trends include applications of subdivision surfaces in design, stakeholder-driven curriculum reform, and emotional analysis in educational contexts. Grants & Collaborations : He has participated in local and international funded projects, with collaborations across Cyprus, Greece, and the UK. His work aligns with UN Sustainable Development Goals, particularly education quality.

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EKREM VAROĞLUView profile

Associate Professor

Eastern Mediterranean UniversityCyprus

EKREM VAROĞLU is an Associate Professor at the Department of Computer Engineering, School of Computing and Technology, Eastern Mediterranean University (EMU). He holds a PhD in Electrical and Electronics Engineering (EMU, 2000), an MS in Electrical and Electronics Engineering (Texas A&M University, 1994), and a BS in Electrical and Electronic Engineering (Pennsylvania State University, 1992). Research Focus : Biomedical Text Mining, Named Entity Recognition, Sentiment Analysis, Data Mining, Machine Learning, Computational Biology Thesis Supervision : Supervised 4 PhD theses (2010–2016) and 7 Master's theses (2012–2020) including topics in chemical/biomedical NER, protein isoform interactions, sentiment analysis for microblogs, and transcript diversity impacts on protein domains. Academic Roles : Served as associate editor, conference reviewer, session chair, and thesis committee member.

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Costas N. PapanicolasView profile

Professor

The Cyprus InstituteCyprus

Prof. Costas N. Papanicolas is an Institute Professor at The Cyprus Institute (CyI) and serves as President Emeritus and CEO of the Cyprus Research and Educational Foundation (CREF). He holds adjunct professorships at the University of Athens, Greece, and the University of Illinois at Urbana-Champaign, USA. With a B.Sc. and Ph.D. from MIT, he has held roles including Director of the Institute of Accelerating Systems and Applications at the National Technical University of Athens and chaired key committees shaping Cyprus’ educational and research policies. Education: B.Sc. and Ph.D. in Physics, Massachusetts Institute of Technology (MIT) Research Interests: Nuclear & Particle Physics, Medical Imaging, Solar Energy, Climate Change Policy, and Educational Policy. His work bridges theoretical physics, medical diagnostics (e.g., SPECT/PET imaging), and renewable energy systems (e.g., CSP technologies like PROTEAS). He has pioneered thermal tomography via neural networks and contributed to solar thermal storage and hybrid energy systems. Awards: Medal of Excellence (Cyprus), Commendatore dell’Ordine della Stella d’Italia (Italy), Fellow of the American Physical Society. Prof. Papanicolas advises the Cypriot government on climate change and led the establishment of the University of Cyprus’s Physical Sciences departments. He directs CyI’s research centers and promotes international collaborations in energy sustainability and cultural heritage preservation.

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Jean SciareView profile

Professor

The Cyprus InstituteCyprus

Prof. Jean Sciare is a full-time Professor and Director of the Climate and Atmosphere Research Center (CARE-C) at The Cyprus Institute (CyI). He leads major research initiatives including the Cyprus Atmospheric Observatory (CAO), the Unmanned System Research Laboratory (USRL), and the Facility for Chemical Analyses (FCA). His expertise focuses on atmospheric aerosols, air quality, and climate interactions. With over 150 peer-reviewed publications (H-index 46), his work spans aerosol characterization, pollution transport, and UAV-based environmental monitoring. Education: Ph.D. in Atmospheric Chemistry and Physics from Paris VII University (2000), followed by postdoctoral research at Max Planck Institute for Chemistry (2000-2001). He served as CNRS Research Director at LSCE until 2014 before joining CyI. His research infrastructure developments include CAO for long-term pollutant monitoring, USRL for UAV atmospheric studies, and FCA for chemical speciation of atmospheric species. Research Interests: Aerosol dynamics, air quality impacts on health, climate modeling, UAV applications, and transboundary pollution analysis. His work integrates experimental, computational, and remote sensing methods to address global environmental challenges, particularly in Mediterranean and Middle Eastern regions. Grants & Leadership: Principal Investigator of the H2020 Teaming project EMME-CARE, leading collaborations across Europe and the Middle East. His projects emphasize interdisciplinary approaches to environmental sustainability and policy-relevant science. Labs/Teams: oversees CARE-C’s research teams specializing in aerosol physics, climate modeling, and technological innovation, including UAV development for atmospheric sampling.

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Mihalis NicolaouView profile

Associate Professor

The Cyprus InstituteCyprus

Mihalis Nicolaou is Associate Professor at The Cyprus Institute's Computation-based Science and Technology Research Center. His research develops robust machine learning algorithms with applications in computer vision and interdisciplinary domains. Research focuses on: Interpretable representation learning Tensor-based machine learning Generative model interpretation Multimodal data fusion Recent publications explore semantic grounding in vision-language models and interpretability of satellite image generative networks. His work emphasizes algorithmic robustness and cross-domain applications.

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