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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.

• 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.

• Biomedical Image Analysis
• Digital Image and Video Processing
• Dynamically Reconfigurable Architectures
• +5 more

Pattichis Marios is an Associate Professor in the Department of Electrical and Computer Engineering and Radiology at the University of New Mexico (UNM). He directs the Image and Video Processing and Communications Lab (ivPCL) and serves on the board of the FPGA Mission Assurance Center (FMAC). His research focuses on biomedical image analysis, dynamically reconfigurable architectures, and educational technology for underrepresented student groups. Education: Ph.D. in Computer Engineering (UT Austin, 1998), dual bachelor's degrees in Mathematics and Computer Sciences (UT Austin, 1991). He has taught 15 courses across multiple universities and secured $15.9M in research funding from NSF, AFRL, and NIH. Research areas include CAD systems for medical imaging, explainable AI, and large-scale video analytics in clinical and educational settings. Developed AM-FM representations for image/video features and contributed to solar image analysis methodologies. Awards: EAMBES Fellow (2022), Harrison Faculty Excellence Award (2006), Best Paper Award (AIAI06), Teacher of the Year (UNM ECE). Current projects include the AOLME educational initiative and the DRASTIC adaptive video processing platform. He edits special issues in IEEE journals and Teachers College Record.

Panagiotis KouvarosView profile

Assistant Professor

• Safe Artificial Intelligence
• Neural Networks
• Adversarial Verification
• +5 more

Panagiotis Kouvaros is an Assistant Professor of Artificial Intelligence and Data Science at the University of Limassol. He co-directs the MSc in Computer Science & Business Technologies and serves as a Research Consultant for Safe Intelligence, a venture-backed spin-out of Imperial College London. Previously, he was a Research Fellow and EPSRC Doctoral Prize Fellow at Imperial College London, earning his PhD in Computer Science in 2016. Research Interests: His work focuses on safe artificial intelligence , including adversarial verification, robust training, and explainability of neural networks. He also investigates model checking in agent swarm systems and verification of neural-symbolic systems, contributing to critical advancements in AI reliability and security. Scientific Awards: IJCAI 2023 Early Career Spotlight Talk Academic Leadership: As co-founder of Safe Intelligence, he bridges academic research with industry applications, leveraging his extensive background in AI verification from Imperial College London.

Theodoros ChristoudiasView profile

Associate Professor

• Global Climate-chemistry Modelling
• Regional Air Quality Modelling
• Computational Model Development
• +3 more

Dr. Theodoros Christoudias is an Associate Professor at The Cyprus Institute (CyI), leading the Earth System modelling group within the Climate and Atmosphere Research Center (CARE-C). His research focuses on global climate-chemistry modeling, regional air quality modeling, and computational model development. Prior to CyI, he served as an International Fellow at Fermilab (USA) and holds a BSc and PhD in Physics from Imperial College London. Research Interests: Climate-chemistry interactions and Earth system modeling Aerosol formation and atmospheric particle dynamics Machine learning applications in environmental science CERN CLOUD experiment collaboration MESSy Earth system model development Key Contributions: Developed high-resolution ultrafine particle concentration models using machine learning Assessed global NOx emissions using TROPOMI satellite data Studied ammonia's role in tropospheric particle formation Modeled radionuclide dispersion risks from nuclear accidents Labs & Teams: Earth System Modelling Group (CARE-C) Modular Earth Submodel System (MESSy) steering group CERN CLOUD collaboration

• Medical Imaging Analysis
• Alzheimer's Disease
• Radiomics
• +3 more

Stephanos Leandrou is a Lecturer in the Department of Health Sciences at the School of Sciences, European University Cyprus. His academic qualifications include a PhD from City University, London (2021), a Master of Science in Diagnostic Imaging from Oxford University (2010), and a BSc in Diagnostic and Therapeutic Radiography from TEI of Athens (2008). He is actively involved in the Cyprus Society of Registered Radiologic Technologists & Radiation Therapy Technologists, serving on the Registration Council since 2016 and the Board of Directors since 2018. His research focuses on Alzheimer's disease assessment through advanced MRI techniques, radiomics, and machine learning applications in medical imaging. Key areas include texture analysis of brain regions like the entorhinal cortex and hippocampus, comparison of MRI field strengths (1.5T vs 3T), and development of explainable AI models for diagnostic classification. He has also explored radiogenomics and precision medicine, emphasizing big data analytics in healthcare. Recent publications highlight his work on quantitative imaging methods (2024), cross-sectional studies on radiographers' perceptions (2023), and breast lesion radiomic analysis (2023). His contributions bridge clinical practice and technology, aiming to improve diagnostic accuracy and patient care through innovative imaging solutions. Professional service includes editorial and advisory roles in radiology societies. While no explicit awards are listed, his extensive publications and academic service reflect significant scholarly impact in neuroimaging and medical technology.

• eHealth
• mHealth
• Medical Imaging Analysis
• +7 more

Constantinos Pattichis is a Professor in the Department of Computer Science at the University of Cyprus and Director of the Biomedical Engineering Research Centre. He leads the HealthXR Group at CYENS Centre of Excellence, focusing on innovative healthcare technologies. His career includes advanced academic qualifications from institutions like the University of London (PhD, 1992), extensive industry collaboration, and over 30 years of expertise in eHealth, medical imaging, and AI-driven healthcare solutions. Research interests span eHealth systems, mHealth interventions using Extended Reality (XR), medical image analysis (MRI/ultrasound), and explainable AI applications in clinical decision-making. He has secured over €20M in EU funding for projects including the EU Digital Covid Certificate Platform (eudcc.gov.cy), the IPMT Centre of Excellence, and national eHealth infrastructure initiatives like eHealth4U. Notable contributions include over 150 journal articles, 259 conference papers, and co-editing pivotal works like *M-Health: Emerging Mobile Health Systems*. Awards include IEEE/IET Fellowships and leadership roles in IEEE Technical Committees and international conferences. His work emphasizes interdisciplinary collaboration, with projects addressing stroke risk assessment, multiple sclerosis imaging, and dementia care through VR-based rehabilitation. Education: PhD in Electronic Engineering (University of London), MSc in Neurology (Newcastle University), BSc Electrical Engineering (University of New Brunswick) Key Projects: EU Digital Covid Certificate, eHealth4U, IPMT Teaming Project Labs: eHealth Lab, HealthXR Group His research bridges clinical needs with technological innovation, addressing global health challenges through AI, telemedicine, and immersive technologies.

Andria NicolaouView profile

Academic

• Biomedical Engineering
• Biomedical Imaging
• Biosignal Processing Systems
• +3 more

Dr. Andria Nicolaou is an Associate Lecturer at the University of Central Lancashire Cyprus (UCLan Cyprus), specializing in Data Analytics. She holds a PhD in Computer Science (University of Cyprus, 2024), an MSc in Molecular and Applied Physiology (National and Kapodistrian University of Athens, 2019), and a BSc in Computer Engineering with a Biomedical minor (University of Cyprus, 2017). She is also a Research Associate at CYENS Centre of Excellence and has previous roles as a Teaching Assistant at the University of Cyprus and a Research Assistant at the Biomedical Research Foundation of the Academy of Athens. Her research focuses on Biomedical Engineering, particularly in Biomedical Imaging and Biosignal Processing Systems, alongside Explainable Artificial Intelligence (XAI) in healthcare applications. She has published extensively on topics such as MRI analysis in multiple sclerosis (MS) and XAI models for sepsis prediction. Notable awards include the Best Paper Award at the 2023 IEEE EMBS International Conference on Biomedical and Health Informatics and recognition as a finalist in the 2024 She STEMs Symposium for Early-Stage Greek Woman Scientists. Dr. Nicolaou teaches the Exploratory Data Analysis module in the MSc Data Analytics program at UCLan Cyprus. Her work bridges clinical data with advanced AI techniques, emphasizing ethical and interpretable solutions for healthcare challenges. She is a member of the IEEE and the IEEE Engineering in Medicine and Biology Society (EMBS).

• Machine Learning
• Biomedical Engineering
• Artificial Intelligence
• +3 more

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.

• Anti-Money Laundering (AML)
• EU Law
• Financial Regulation
• +5 more

Georgios D. Pavlidis is an Associate Professor of International and EU Law at the School of Law of Neapolis University in Cyprus. He holds a UNESCO Chair (Project: “Human development, security and the fight against transnational crime”) and a Jean Monnet Chair (Project: “Tracing Criminal Assets in the European Union”). He obtained his PhD in Law from the University of Geneva, with postgraduate studies in the U.S. (SMU Dallas) and the UK (University of Warwick). His research focuses on AML/CFT, digital finance, AI governance, and asset recovery. He has advised the European Commission, served as an AML expert for global initiatives (e.g., Stanford’s Digital Currency Global Initiative), and participated in EU-funded projects like the COST Action on Globalization and Illicit Trade. His recent work explores AI’s role in law enforcement, EU AMLA reforms, and challenges in cross-border asset confiscation. He coordinates the Jean Monnet Center of Excellence AI-2-TRACE-CRIME and collaborates with institutions like the Egmont Centre of FIU Excellence. His publications analyze FATF standards, EU digital finance strategies, and legal frameworks for stablecoins.

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

Professor Constantinos Pattichis holds the position of Professor in the Department of Computer Science at the University of Cyprus and serves as Director of the Biomedical Engineering Research Centre (BMERC) and Leader of the HealthXR Group at CYENS Centre of Excellence. His roles include overseeing national and EU-funded eHealth initiatives, such as the EU Digital Covid Certificate Platform and the Integrated National eHealth Ecosystem (eHealth4U). Education: Diploma in Technician Engineering (Higher Technical Institute, Cyprus, 1979) BSc in Electrical Engineering (University of New Brunswick, Canada, 1983) MSc in Biomedical Engineering (University of Texas at Austin, USA, 1984) MSc in Neurology (University of Newcastle Upon Tyne, UK, 1991) PhD in Electronic Engineering (University of London, UK, 1992) Research Interests: Focuses on eHealth infrastructure, mHealth interventions using Extended Reality (XR), medical imaging analysis (MRI/ultrasound), biosignal analysis (electromyography), and computational intelligence in healthcare. His work emphasizes interoperable systems for big-data-driven clinical decision support and precision medicine. Grants & Projects: Technical Lead of the EU-funded Digital Covid Certificate Platform (€20M+ total managed funding) Co-PI of the H2020 WIDESPREAD Teaming Project (IPMT Centre of Excellence) Leading EU CEF-funded cross-border eHealth services deployment in Cyprus Labs & Teams: Heads the eHealth Lab and HealthXR Group, collaborating on large-scale video analytics and citizen-centric eHealth systems. Co-edits journals like IEEE J-BHI and Frontiers Digital Health Special Issues.

Petr HájekView profile

Professor

• Machine Learning
• Neural Networks
• Fuzzy Logic
• +7 more

Petr Hájek is a Professor at the University of Pardubice in the Institute of System Engineering and Informatics, Czech Republic. With 236 publications, 71,463 reads, and 5,595 citations, he has established himself as a prominent researcher in computational intelligence and machine learning applications. His research interests span multiple domains of computational intelligence, with particular focus on: Machine learning applications in financial forecasting and risk management Neural networks and fuzzy logic systems for time series prediction Sentiment analysis for financial markets and social media Fraud detection and fake news identification systems Cryptocurrency price forecasting and market analysis ESG analytics and sustainable finance applications Analysis of his recent publications (2023-2025) reveals an expanding research scope that increasingly integrates sustainability considerations with financial technology. His work demonstrates sophisticated methodological approaches, frequently employing hybrid neural network architectures, ensemble learning techniques, and advanced text mining methods. Professor Hájek's research shows strong international collaboration patterns with scholars across Europe, Asia, and North America. His scholarly contributions have focused on developing practical AI solutions for complex financial problems, with particular attention to handling class imbalance issues in financial datasets and creating interpretable models for financial decision-making. Professor Hájek maintains an active research program with consistent publication output across top venues in computational intelligence and financial technology. His work bridges theoretical advances in machine learning with practical applications in finance, demonstrating both academic rigor and real-world relevance.