Manolis Plionis is Professor in the Department of Physics at Aristotle University of Thessaloniki and Director of the National Observatory of Athens. His astrophysics research focuses on observational cosmology, galaxy clustering, and dark matter phenomena. Significant projects include leadership roles in PANGEA (Panhellenic Geophysical Observatory) and AEGIS–Center for Security & Hazard's Risk Resilience. He has received international recognition including a Pew Fellowship in Marine Conservation for interdisciplinary work. Recent publications analyze galactic structures using advanced telescope data and computational models. He serves on multiple international committees including the European Space Science Committee and IUCN advisory boards.
Imre Lendák serves as Visiting Associate Professor in Cybersecurity at European University Cyprus's School of Sciences. He holds dual appointments as Associate Professor at University of Novi Sad, Serbia (since 2018) and Research Associate Professor at Eötvös Loránd University, Hungary (since 2019). Lendák earned his PhD (2011), MSc (2007), and BSc (2002) in Computing and Control Engineering from the University of Novi Sad. His research spans cybersecurity, blockchain applications, CDN optimization, and critical infrastructure protection. He coordinates EU-funded projects including Cybersecurity Skills Alliance and Information Security Services Education in Serbia. His 2022 paper on CDN error clustering received best paper award at ICDM. Research focuses on enhancing trust architectures for web archives and securing OT systems during cloud migration.
Odysseas Koufopavlou is a Visiting Professor in Computer Science with the School of Engineering at the University of Patras, where he previously served as Dean of the School of Engineering (2014-2018) and Head of the Electrical and Computer Engineering Department (2020-2022). His research focuses on VLSI design, hardware security, and cryptographic implementations for embedded systems. Current projects explore side-channel resistant architectures and microarchitectural attacks in hardware systems. Professor Koufopavlou has led multiple European research initiatives including 5G-VICTORI, 5G-SOLUTIONS, and CONCORDIA cybersecurity projects. He has chaired prominent international conferences including the IFIP/IEEE International Conference on Very Large Scale Integration.
Prof. Dr. Duygu Çelik Ertuğrul is a Professor in the Department of Computer Engineering at Eastern Mediterranean University (North Cyprus). She holds academic leadership roles including former Associate Professorship (2017–2022) and Professorship since 2022. Her professional affiliations include: Member of IEEE and editorial boards for journals like Expert Systems (SCI-E) Organizer of international workshops (e.g., ESAS 2018, WEDA 2016) Principal investigator for funded projects in e-Health and semantic technologies Education: PhD in Computer Engineering, Eastern Mediterranean University (2010) MS and BS in Computer Engineering, Eastern Mediterranean University (2005 and 2003) BS in Healthcare Services, Kocaeli University (1998) Research Interests: Her work focuses on semantic web services, AI-driven healthcare systems (e-Health/m-Health), ontologies, and decision support systems . Recent projects include: Smart health tracking systems (e.g., TrackARTI for pediatric respiratory infections) AI-based job recommendation systems for marginalized communities Medical diagnostic tools using machine learning (diabetic retinopathy, breast cancer) Article Trends: Her publications emphasize healthcare innovation (55% of recent articles), semantic technologies (30%), and decision support systems (15%). Notable themes include AI ethics in healthcare, cross-cultural usability of medical apps, and ontology-driven interoperability. Awards & Recognition: EMU Research Incentive Award (2020–2022) Featured as Guest Editor for Expert Systems Journal (2018) Advising & Grants: Supervised 16+ master’s and 2 PhD students (ongoing) Secured grants for projects like "Semantic Web Services Composition" (2021) and "m-Health Solutions for Autism" (2019) Labs & Collaborations: Leads the Healthcare Knowledgebase Systems Lab and collaborates with EU-funded initiatives for digital health solutions in Cyprus and MENA regions.
Asst. Prof. Dr. CEM ERGÜN is a faculty member in the Department of Computer Engineering at Eastern Mediterranean University (EMU), affiliated with the Faculty of Engineering. He holds a PhD in Computer Engineering from EMU (2004), an MS in Electrical and Electronics Engineering (1998), and a BS in the same field (1996), all from EMU. His research focuses on machine learning, computer vision, and data security, with notable work in natural language processing frameworks like BERT-based question answering systems, image restoration techniques, and steganography methods. He has supervised multiple theses, including ongoing PhD research on Turkish question answering systems and master's projects on topics such as statistical feature selection in text categorization, median filter-based image restoration, and fragile digital watermarking techniques. His academic webpage is accessible at https://staff.emu.edu.tr/cemergun .
Yrd. Doç. Dr. Ghazaal Sheikhi is an Assistant Professor in the Department of Artificial Intelligence Engineering at Final University, within the Faculty of Engineering. Her research focuses on machine learning applications in healthcare, biomedical engineering, and natural language processing. She holds a Ph.D. in Computer Engineering from Eastern Mediterranean University (2020), an M.Sc. in Biomedical Engineering from Amirkabir University of Technology (2007), and a B.Sc. in Biomedical Engineering from the University of Isfahan (2003). Education: Doctoral Degree in Computer Engineering, Eastern Mediterranean University, North Cyprus (2020) Master's Degree in Biomedical Engineering, Amirkabir University of Technology, Tehran, Iran (2007) Bachelor's Degree in Biomedical Engineering, University of Isfahan, Isfahan, Iran (2003) Her research interests span Machine Learning, Biomedical Engineering, and Natural Language Processing. She specializes in applying deep learning techniques to medical image analysis, developing explainable AI models for healthcare diagnostics, and enhancing fact-checking systems using NLP. Her work in biomedical data analysis focuses on feature selection methods and predictive modeling for diseases like diabetes. Additionally, she explores speech processing techniques for language-specific challenges, such as Farsi syllable segmentation using signal processing and fuzzy logic approaches. Recent contributions include breast tumor segmentation (2025), NLP-based claim detection (2023), and novel feature selection methods (2021). Earlier work addressed speech signal analysis (2011–2013) and diabetes cost analysis (2016). Scientific Awards: No awards explicitly mentioned in the provided text. Advising & Grants: Information on students or grants is not provided in the text. Administrative tasks are listed but no details are given. Labs/Teams: No specific lab affiliations or teams mentioned.
Dr. Mohsen Soori is an Assistant Professor in the Department of Mechanical Engineering at the Faculty of Engineering, Eastern Mediterranean University. His research focuses on integrating artificial intelligence (AI), machine learning, and deep learning into advanced manufacturing processes, particularly in Industry 4.0 applications such as smart quality control, human-robot collaboration, and additive manufacturing optimization. He also specializes in CNC machining optimization, virtual machining systems, and error compensation in precision manufacturing. Dr. Soori holds a Ph.D. in Mechanical Engineering from Eastern Mediterranean University (2022), an M.Sc. from Amirkabir University of Technology (2012), and a B.Sc. from Shahid Rajaee Teacher Training University (2007). His academic work bridges theoretical advancements in numerical methods (e.g., variational iteration, finite element analysis) with practical industrial challenges in machining, robotics, and sustainability. His recent publications (2023–2025) emphasize AI-driven solutions for Industry 4.0, including blockchain-enabled supply chains, smart manufacturing systems, and virtual machining analytics. He has also contributed to studies on tool wear prediction, thermal management in titanium alloy machining, and sustainable CNC operations. Administrative roles and grants are not detailed in the provided text, but his involvement in academic leadership and collaborative research projects is implied through his active publication record and institutional affiliation.
Dr. Josephina Antoniou is an Associate Professor in Computing and Deputy Head of the School of Sciences at UCLan Cyprus. She holds a PhD in Computer Science (University of Cyprus, 2010), MSc in Advanced Computer Technologies (University of Cyprus, 2004), and BA in Computer Science & Mathematics (Wartburg College, 2002). Her roles include Course Leader for MSc Computing and Chair of the University Ethics Subcommittee (2021–2024). She is a Senior Member of ACM and IEEE, and a Fellow of the Higher Education Academy (FHEA). Her research focuses on Quality of Experience (QoE) in communication networks, AI ethics, and emerging technologies like IoT and 5G. Notable research interests include ethical implications of AI, responsible innovation, and user-centric system design. She has led multiple EU-funded projects, including Horizon Europe initiatives on research ethics and AI governance. Dr. Antoniou has supervised numerous PhD and postdoctoral researchers, contributed to over 50 publications, and received awards such as the ACM-W Networking Grant (2015–2016). She actively engages in outreach, including workshops for high school students and international conferences like ACM-W and IEEE events.
Dr. Demetres Christofides is an Associate Professor in Mathematics and Course Leader of BSc (Hons) Mathematics & Statistics at the University of Central Lancashire Cyprus (UCLan Cyprus). He holds a PhD in Mathematics from the University of Cambridge (2008), alongside advanced qualifications from Cambridge including a BA (2003), MA (2007), and Certificate of Advanced Study in Mathematics (2004). Affiliations: School of Sciences, Department of Mathematics. Administrative Roles: Former Senate Member (2015–2020), Deputy Head of School (2017–2018), and Academic Standards Lead (2017–2020). Research Interests: Focuses on combinatorics, including random graphs, extremal graph theory, positional games, and algorithmic graph theory. His work spans Hamilton cycles, Cayley graphs, information theory, and structural graph properties. He has contributed to over 10 peer-reviewed publications in journals like Journal of Combinatorial Theory and SIAM Journal on Discrete Mathematics . Funding & Grants: Secured research grants from the Cyprus Research Promotion Foundation and the EPSRC, including projects on extremal combinatorics and graph algorithms. Awards: Smith Prize (University of Cambridge). Outreach: Trains Cypriot Mathematical Olympiad teams, creates problems for international competitions (e.g., IMO Shortlist 2020), and co-authored a training book for high-school mathematics competitions. Teaching: Leads and teaches modules across all undergraduate years, including Real Analysis, Algebra, and Complex Analysis. Previously taught at Charles University, Warwick, and Birmingham.
Dr. Christoforos Charalambous is a Lecturer in Data Analytics and Course Leader of the MSc Data Analytics (Distance Learning) at the University of Central Lancashire Cyprus (UCLan Cyprus), part of the School of Business & Management . He holds a PhD in Computer Vision from Imperial College London (2017), an MSc in Biomedical Engineering (Imperial College London, 2012), and a BSc/MEng in Electrical and Computer Engineering from the National Technical University of Athens (2011). His research focuses on multi-disciplinary applications of video analytics, computer vision, and human motion analysis , with emphasis on security, healthcare, sports, and smart city projects. He has published in areas such as gait recognition, crime forensics, and biomedical imaging. Notable awards include 2nd place in the DASA Real-World Incident Response Hackathon 2018 and a prestigious PhD scholarship from Imperial College London. Teaching responsibilities include modules such as Enterprise Data Management, Business Intelligence, and Knowledge Discovery. He previously served as a Research Scientist and Manager at SeeQuestor Ltd (2016–2023), contributing to industry-driven research projects. He is an Associate Fellow of the Higher Education Academy (UK).
Panagiota Nikolaou is a Lecturer in Computer Engineering and Course Leader of the BEng (Hons) Computer Engineering program at the School of Sciences, UCLan Cyprus. She holds a PhD in Computer Science from the University of Cyprus (2020), along with MSc and BSc degrees in Computer Science from the same institution. Her research focuses on computer architecture, fault tolerance, edge/cloud deployments, memory reliability, power optimizations, and intelligent vehicles. She has held roles including Research Associate at the KIOS Research and Innovation Center of Excellence and Lecturer at Alexander College. Her teaching responsibilities include Digital Electronics, Probability Theory for Engineers, and Engineering Professionalism. She has extensive research experience in EU-funded projects such as SESAME (Horizon 2020) and UNISERVER, addressing topics like reliability in embedded systems and energy-efficient computing. Her publications span domains like UAV reliability, real-time forest fire detection, and cost analysis of edge vs. cloud deployments. Notable awards include the Best Poster Award at the 2020 SERESSA conference. She actively participates in academic activities, including serving as Program Chair for the VLSI-SoC conference (2026) and roles in IEEE committees. Her research grants include leadership in projects like CERCIRAS (2020–2024) and participation in Horizon 2020 initiatives. She emphasizes interdisciplinary collaboration, bridging hardware reliability, software optimization, and real-world applications in critical systems.
Andreas Savva is a Lecturer in Computing at UCLan Cyprus since 2017. Previously, he served as a Lecturer in Networking at Bahrain Polytechnic (2014–2017) and as a Tutor in Computer Science at the University of Cyprus (2008–2013). He holds a PhD in Computer Engineering from the University of Cyprus (2024), an MSc in Computer Engineering (2008), a BSc (Hons) in Computer Science (2005), and a Certification of Learning and Teaching in Higher Education (2016). His research focuses on optimizing computing systems through: Many-core architectures and minimizing power consumption in networks-on-chip Applying artificial neural networks (ANN) for prediction and fault detection in hardware systems Enhancing overlay network performance via caching algorithms Savva has contributed to international conferences and has secured research funding, including a €89,450 grant in 2008 from Cyprus Research Promotion Foundation for a collaborative project on simulation frameworks for many-core architectures. He is affiliated with professional organizations like the Cyprus Scientific and Technical Chamber and IEEE. His administrative experience includes panel membership for accreditation at Bahrain Polytechnic and roles in educational software management (Cyprus Ministry of Education, 2002–2007). He has also served as an external moderator for ICT programs and a judge for student projects at Bahrain Polytechnic, alongside research activities in labs such as EASOC (Embedded and Application Specific Systems-on-Chip Laboratory) and KIOS (Research Centre for Intelligent Systems and Networks) at the University of Cyprus.
Konstantinos Senekkis serves as Special Teaching Staff at the School of Sciences, University of Central Lancashire Cyprus (UCLan Cyprus), where he delivers specialized cybersecurity education and training programs. His professional expertise spans critical cybersecurity domains: Cybersecurity frameworks and applications Offensive security through penetration testing methodologies Digital evidence collection and analysis Computer science foundations for security applications Ethical hacking techniques and principles Cyber defense strategies and implementation Mr. Senekkis has earned recognition through prestigious industry certifications that validate his technical expertise: ICSI CPT Certified Penetration Tester ICSI CWPT Certified Web Penetration Tester ICSI CDFE Certified Digital Forensics Examiner CREST CPSA professional security accreditation CREST CRT penetration testing certification With over a decade of practical industry experience, he previously served as a Trainer at GTP Computrain LTD (2010-2020) and currently holds dual roles as both Trainer and Penetration Tester at ICSI (CyberSecurity Institute) LTD (2020-Present). At UCLan Cyprus, he leads specialized modules in Cyber Defense and Ethical Hacking, directly integrating his field experience into academic instruction to provide students with real-world cybersecurity knowledge and practical skills.
Philippos Demetriou is an Associate Lecturer at the University of Central Lancashire Cyprus (UCLan Cyprus), specializing in Computer Science and Information Security. He holds an MSc in Information Security from Royal Holloway, University of London (2009) and a BSc in Computer Science from the University of Warwick (2008). His current academic roles include teaching and course leadership for modules such as IT Project Management, Enterprise Application Development, and Information Security Management. Prior to his academic role, Demetriou has held professional positions in information security, including as an Information Security Officer at the Cooperative Credit Society of Strovolos (2010–2014) and currently at the Information Security Unit of the Cyprus Cooperative Bank (2014–Present). His professional expertise bridges academia and industry, focusing on practical applications of cybersecurity principles. Research interests center on information security and computational systems, with a focus on enterprise-level application development and project management methodologies. No specific awards or grants are listed in the provided information.
Professor Constantia Alexandrou is a distinguished physicist at the Department of Physics, School of Natural and Applied Sciences, University of Cyprus. She leads state-of-the-art research in Lattice Quantum Chromodynamics and hadron structure, heading the Lattice QCD Computational Lab at the university. Professor Alexandrou serves as Chair of the Council of PRACE (Partnership of Advanced Computing in Europe), is a member of multiple prestigious scientific councils including the National Council for Research in Greece and the Helmholtz-Institute Mainz, and represents Cyprus at IUPAP. B.A. in Physics with First Class Honors from University of Oxford (1980) Ph.D. in Theoretical Strong Interactions Physics from MIT (1985) Research positions at Paul Scherer Institute, Switzerland and Erlangen University, Germany Professor Alexandrou's research focuses on Lattice Quantum Chromodynamics, hadron structure, and high-performance computing applications in theoretical physics. Her work bridges fundamental particle physics with advanced computational techniques, particularly in studying nucleon properties and quantum chromodynamics from first principles. She has pioneered methods for calculating parton distribution functions, hadronic vacuum polarization, and nucleon spin decomposition using lattice techniques, contributing significantly to our understanding of strong interaction physics. Her recent work has expanded into quantum computing applications for high-energy physics problems. Analysis of Professor Alexandrou's recent publications reveals a consistent focus on advancing lattice QCD methodologies for calculating fundamental properties of hadrons and nucleons. Her work spans both traditional lattice calculations and emerging quantum computing applications, demonstrating leadership in adapting computational physics to new technological frontiers. The publications show particular emphasis on precision calculations of nucleon structure, hadronic contributions to fundamental constants, and developing non-perturbative methods for quantum field theory. Fellow of the American Physical Society Principal Investigator of three European Joint Doctorates (approximately €3.7 million each) Principal Investigator of Excellence Center Quantum Computing for Science and Technology (QSciTec) under Teaming action (€35 million) Professor Alexandrou has secured approximately €15 million in competitive funding for the Computational-based Science and Technology Research Center of the Cyprus Institute, including two ERA Chair projects of €2.5 million each. She has served as the first Head of the Department of Physics at the University of Cyprus and held leadership positions at the Cyprus Institute from 2004-2022. With over 300 scientific publications and numerous invited talks at international meetings, she has organized several workshops in Cyprus and abroad, significantly contributing to the international lattice QCD community through the Extended Twisted Mass Collaboration (ETMC). She heads the Lattice QCD Computational Lab at the University of Cyprus, which operates dedicated computing clusters for lattice QCD calculations. As a member of the Extended Twisted Mass Collaboration (ETMC) - comprising major European and US research groups - she plays a key role in advancing international collaboration in computational particle physics. Her leadership extends to multiple scientific advisory bodies where she influences research directions in high-performance computing and theoretical physics across Europe.
