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Ioannis KatakisView profile

Professor

• Mining Social Data
• Mining Web Data
• Mining Urban Data
• +6 more

Professor Ioannis Katakis is a Faculty Member at the University of Nicosia, where he is affiliated with the School of Sciences and Engineering and the Department of Computer Science. He has held various academic positions across multiple institutions including Aristotle University of Thessaloniki, University of Cyprus, Cyprus University of Technology, Open University of Cyprus, Hellenic Open University, Athens University of Economics and Business, and National and Kapodistrian University of Athens. His educational background includes a PhD in Machine Learning for Automated Text Classification (2005-2009), a Master's in Information Systems (2005-2007), and a Bachelor's in Computer Science (2000-2004), all from Aristotle University of Thessaloniki. Professor Katakis specializes in several cutting-edge areas of computer science and data analysis. His primary research interests include Mining Social, Web and Urban Data , Sentiment Analysis and Opinion Mining , Data Streams , and Multi-label Learning . His work bridges theoretical machine learning approaches with practical applications in social media analysis, healthcare informatics, privacy protection, and smart city technologies. He has published extensively in top venues including CIKM, ECML/PKDD, IEEE TKDE, and ECAI. His recent publications demonstrate a clear trend toward applying machine learning techniques to real-world problems with societal impact. He has focused on areas such as GDPR compliance in smart devices, sentiment analysis in crowd-sourced content, healthcare applications including drug reaction classification and brain disease monitoring, and privacy protection in wearable technologies. His work often involves multi-modal data analysis and addresses challenges in data streams and multi-label classification. Professor Katakis has made significant contributions to his field, with his research cited over 4,200 times. He serves as an Editor for the journal Information Systems and has edited four special issues in journals such as DAMI and InfSys. He regularly contributes to the academic community by serving on program committees for major conferences including ECML/PKDD, WSDM, DEBS, and IJCAI, and by reviewing for prestigious journals like TPAMI, DMKD, TKDE, TKDD, JMLR, TWEB, and ML. He has been actively involved in European research projects, notably serving as Quality Assurance Coordinator and Senior Researcher for projects such as VAVEL (www.vavel-project.eu) and INSIGHT (www.insight-ict.eu). His grant activities demonstrate a strong focus on collaborative, interdisciplinary research with practical applications in urban data management, social media analysis, and healthcare informatics. He has organized three workshops at major conferences (ICML, ECML/PKDD, EDBT/ICDT) and has extensive experience translating research into practical applications through his involvement in European projects.

Maria K. MichaelView profile

Associate Professor

• Cyber-Physical Systems
• Embedded Systems Security
• AI/ML Edge Intelligence
• +5 more

Maria K. Michael is an Associate Professor at the Electrical and Computer Engineering Department (ECE), University of Cyprus, and a cofounding faculty member of the KIOS Center of Excellence. She leads the Center’s Education and Training activities and coordinates the MSc program in Intelligent Critical Infrastructure Systems, a collaboration between UCY, KIOS CoE, and Imperial College London. Her expertise spans dependability, security, and reliability in cyber-physical systems, embedded systems, and AI/ML optimization for edge intelligence. Education: BSc in Computer Science MSc in Computer Science Ph.D. in Engineering Sciences (Computer Engineering), Southern Illinois University, USA Research Focus: Hardware-enabled security, cyber-security in intelligent embedded systems, reliability of edge-based accelerators, and applications in smart grids, UAVs, robotics, and autonomous vehicles. Her work emphasizes safety-critical systems and resource-constrained environments. Grants & Team: Leads a 15-member research team (postdocs, PhD/MSc/BSc students). Funded by EU FP7, H2020, Horizon Europe, NSF, Intel Corp., and the Cyprus Research and Innovation Foundation. No scientific awards listed explicitly in provided text. Labs & Initiatives: Director of Education/Training at KIOS CoE; core contributor to the MSc program in Intelligent Critical Infrastructure Systems.

Michael SirivianosView profile

Associate Professor

• Cybersecurity
• Social Media Analysis
• Disinformation Detection
• +5 more

Michael Sirivianos is an Associate Professor at the Cyprus University of Technology (CUT), where he serves as Dean of the School of Engineering and Technology. He holds a PhD in Computer Science from Duke University (2010) and leads research in cybersecurity, disinformation detection, and social media analysis. He coordinates multiple EU-funded projects including ReCRED (Horizon 2020) and ENCASE (Marie Curie RISE), securing over €3M in research funding. Research Focus His work spans: Cybersafety : Detection of cyberbullying, hate speech, and inappropriate content targeting children Trust Systems : Device-centric authentication and blockchain applications Disinformation Analysis : Graph-based detection of fake news and state-sponsored manipulation Scalable Systems : Distributed databases and network infrastructure Achievements & Recognition Best Paper Award (2019) for work on state-sponsored disinformation Distinguished Paper (2018) for fringe web community analysis Spotlight Session recognition (2020) for child protection research Featured in NYT, Washington Post, and Wired for YouTube content analysis Leadership Co-directs the Network Systems Research Lab, serves on the Board of CYENS Centre of Excellence, and coordinates the Fact-check Cyprus Centre against Disinformation.

• Robotics
• Artificial Intelligence
• Educational Technology
• +3 more

Pericles Leng Cheng is a Lecturer in the Department of Computer Science and Engineering at the European University Cyprus (School of Sciences). He holds a Doctor of Information Technology (Walden University, 2017) and dual M.Sc. and B.Sc. in Computer Science from the University of Texas at Austin (2003 and 2001). His research focuses on robotics applications in education, therapeutic systems, and aspect-oriented software development for embedded systems. He leads Cyprus' participation in international robotics competitions like Robotex and has contributed to EU-funded projects addressing energy efficiency and ubiquitous computing. Education: PhD: Information Technology, Walden University (2017) M.Sc.: Computer Science, University of Texas at Austin (2003) B.Sc.: Computer Science, University of Texas at Austin (2001) Key Contributions: Developed robotic systems for Constraint Induced Movement Therapy (CIMT) in children Advanced remote robotic experimentation platforms for STEM education Authored foundational studies on aspect-oriented programming for real-time embedded systems Professional Roles: Head of Technical Committee for Robotex Cyprus (Cyprus Computer Society) EU Project Researcher (FP6, Horizon 2020, Erasmus+) Academic Consultant for educational robotics competitions His research spans robotics applications across healthcare, education, and industry, with a focus on integrating emerging technologies into practical solutions. Recent work emphasizes autonomous systems in gaming environments and robotics competitions' pedagogical impact. Over 15 years of academic experience includes teaching, curriculum development, and fostering international collaboration in tech education.

Christiana IoannouView profile

Assistant Professor

• Cybersecurity
• Internet of Things (IoT)
• Intrusion Detection Systems (IDS)
• +5 more

Dr. Christiana Ioannou is an Assistant Professor in Cybersecurity and Course Leader of the MSc Cybersecurity and MSc Cybersecurity Distance Learning programs at University of Central Lancashire Cyprus (UCLan Cyprus). She holds a PhD in Computer Science from the University of Cyprus (2017) and has extensive experience in academia and industry, including roles as Research Associate at CYENS Center of Excellence and NCC Team Leader at the Digital Security Authority of Cyprus. Education: PhD in Computer Science, University of Cyprus (2017) MSc in Computer Science, Florida Institute of Technology (2006) PGDiploma in Management, Mediterranean Institute of Management (2004) BSc in Computer Science, San Diego State University (2003) Research Interests: Her research focuses on Cybersecurity , Internet of Things (IoT) , and Intrusion Detection Systems (IDS) . She explores secure data management in industrial IoT and WSN environments, attack classification, and decentralized security agents. Her work emphasizes practical applications in constrained networks and industrial settings. Grants & Awards: Recipient of the Onisilos Postdoctoral Fellowship (2022) Winner of the Cyprus Entrepreneurship Competition (3rd Prize, 2021) Recipient of the Cyprus-America Scholarship for Graduate Studies (2004–2006) Professional Activities: She serves on the Technical Program Committees of conferences like WiOpt and MedComNet, and reviews for journals including IEEE Access and Computers & Security. Her work bridges academic research with real-world cybersecurity challenges in IoT and industrial systems. Labs & Collaborations: Active in the CYENS Center of Excellence and collaborates on projects like METACITIES (EU-funded) and BluePark (smart parking system for disabled persons).

John Bush IdokoView profile

Assistant Professor

• Machine Learning
• Computer Vision
• Signal Processing
• +2 more

John Bush Idoko is an Assistant Professor in the Computer Engineering Department at Near East University, North Cyprus. He earned his BSc in Computer Science from Benue State University, Nigeria (2010), followed by MSc (2017) and PhD (2020) in Computer Engineering at Near East University. His research focuses on machine learning , computer vision , and signal processing , with applications in IoT systems , healthcare devices , and smart infrastructure . He has contributed to 15 recent publications spanning topics such as UAV routing protocols, image encryption, and medical prosthetics. BSc: Computer Science, Benue State University (2010) MSc: Computer Engineering, Near East University (2017) PhD: Computer Engineering, Near East University (2020) His work emphasizes deep learning optimization , chaotic encryption , and intelligent sensor networks . Recent projects include IoT-based infant monitoring, sleep apnea detection, and voice-controlled prosthetics. He is affiliated with the Applied Artificial Intelligence Research Centre and leads the Cyber Security Engineering Department.

Elena KakoulliView profile

Lecturer

• Computer Architecture
• On-Chip Interconnection Networks
• Photonics
• +5 more

Dr. Elena Kakoulli is a Lecturer in Information Systems and Coordinator of the MSc in Information Systems and Digital Innovation at the University of Nicosia. She holds a Ph.D. in Computer Engineering from Cyprus University of Technology (2015), following a Master’s in Computer Science (2009) and B.Sc. (2007) from the University of Cyprus. Her research focuses on computer architecture, photonics-based interconnection networks, cybersecurity, and AI-driven educational technologies. Notable contributions include work on resilient NoC architectures, distributed storage systems (OctopusFS), and silicon photonics integration for high-performance computing. Dr. Kakoulli’s research interests span network-on-chip (NoC) design, IoT security, and adaptive learning frameworks. She has collaborated on projects such as distributed tiered storage for cluster computing with Dr. Herodotou. Recognitions include awards from the University of Cyprus and Marfin Laiki Bank Foundation for academic excellence during her postgraduate studies. She has also contributed to teaching roles as a Teaching Assistant at the University of Cyprus and lecturer at Ctl Eurocollege, covering courses like computer architecture, compilers, and operating systems. Her publications highlight advancements in cybersecurity models, AI-integrated education tools, and next-generation computing architectures. She actively participates in academic conferences, including the 21st European, Mediterranean, and Middle Eastern Conference on Information Systems (EMCIS 2024), and has served as a Technical Program Committee member.

• Concurrency Theory
• Formal Methods
• Privacy Policy Analysis
• +3 more

Anna Filippou is a Professor at the Department of Computer Science of the University of Cyprus. She holds a B.A. in Mathematics and Computation from the University of Oxford (1992) and a Ph.D. in Computer Science from the University of Warwick (1996). Her research focuses on Concurrency Theory, Formal Methods, Privacy Policy Analysis, and Algorithmic Game Theory. She has served as General Chair for major conferences such as ETAPS 2010 and FM 2016, and her work is funded by the Foundation for Research and Innovation and the European Commission. Her research applies formal frameworks like Process Calculi, Petri Nets, and Type Systems to design and analyze concurrent, distributed, and real-time systems. Recent work includes modeling Reversible Computation and developing privacy policy enforcement mechanisms in π-calculus. She has published extensively in top venues including TACAS, ETAPS, and Algorithmica. Anna has held academic positions at the University of Cyprus since 2002 and previously worked at the University of Pennsylvania (1997-1998). She is a member of the Laboratory for Foundations of Computing Systems and Theoretical Computer Science. Her technical roles include managing the HSF Controller Network design and formal verification of distributed systems using tools like UPPAAL. Key contributions include formalizing privacy policies using typed π-calculus systems, analyzing network security games, and developing resource-aware process algebra models for real-time systems. Current projects explore GDPR compliance frameworks and algorithmic game theory applications in network defense mechanisms.

• Computer Security
• Cybersecurity
• Privacy Engineering
• +3 more

Elias Athanasopoulos is an Associate Professor in the Department of Computer Science at the University of Cyprus. His research focuses on systems security and privacy, with particular emphasis on web application security, hardware-based defenses, and privacy-preserving technologies. He holds a Ph.D. in Computer Science from the University of Crete (2011) and a BSc in Physics from the University of Athens (2005). Prior to joining the University of Cyprus, he served as an Assistant Professor at Vrije Universiteit Amsterdam. His work has been recognized with awards such as the Best Paper Award at IEEE European Symposium on Security and Privacy 2020 and the DCSR Best Paper Award at the 23rd USENIX Security Symposium. His research spans topics including fuzzing frameworks, adversarial machine learning, and network security. Elias has published extensively in top-tier conferences like IEEE Security & Privacy, ACM CCS, and Usenix Security. His contributions include practical solutions like Lethe for data breach detection and auth.js for advanced web authentication. He has also held fellowships at Columbia University (Marie Curie) and collaborated with organizations like Microsoft Research and FORTH. His teaching and research interests integrate theoretical and applied aspects of security, emphasizing real-world impact. Current projects explore vulnerabilities in modern systems and developing robust defenses against emerging threats.

Theocharis TheocharidesView profile

Associate Professor

• Embedded Systems
• Hardware Acceleration
• Computer Vision
• +3 more

Theocharis (Theo) Theocharides is an Associate Professor and Department Chair at the University of Cyprus's Department of Electrical and Computer Engineering. He serves as Director of Research at the KIOS Research and Innovation Centre of Excellence. Holding a Ph.D. in Computer Science and Engineering from Pennsylvania State University, his research focuses on designing intelligent embedded systems with specialization in domain-specific architectures, reconfigurable hardware, and low-power embedded processors. He leads the Embedded and Application-Specific System-on-Chip Lab, conducting projects in mobile systems, tinyML, embedded computer vision, pattern recognition architectures, and intelligent system monitoring. His pioneering work includes hardware acceleration for real-time object detection and depth estimation in embedded vision systems for robotics and cyber-physical applications. Current investigations focus on hardware-friendly ML algorithms for tinyML, visual information extraction, and distributed embedded vision systems involving drone swarms and robotic networks. Professor Theocharides has authored over 130 publications and serves as Associate Editor for prestigious journals including ACM's Computing Surveys and IEEE Transactions on Computer-Aided Design. As Technical Programme Committee Chair for DATE 2025, he maintains active involvement in the research community.

Stelios NeophytouView profile

Associate Professor

• Electronic Design Automation
• Integrated Circuit Design
• Test Pattern Generation
• +3 more

Stelios Neophytou is an Associate Professor and Head of the Department of Engineering at the University of Nicosia. He holds a PhD in Computer Engineering from the University of Cyprus (2009) and a Bachelor's degree in Computer Engineering and Informatics from the University of Patras, Greece (2003). His research focuses on Electronic Design Automation, specifically developing algorithms for integrated circuit design verification and post-manufacturing testing. This includes methodologies for enhancing Automatic Test Pattern Generation (ATPG), test size compaction, and multiprocessing environments, alongside work on Built-In Self-Test architectures and graph-theoretic problems involving Binary Decision Diagrams. Dr. Neophytou has held academic roles such as Special Scientist and Teaching Assistant at the University of Cyprus (2003–2008) and Special Teaching Staff (2008). His expertise aligns with UN Sustainable Development Goals, particularly in advancing quality education and innovation. Notable contributions include research on IoT performance estimation frameworks, underwater sound classification using edge computing, and cross-national studies on automated vehicle acceptance. His work emphasizes scalability in testing processes, leveraging multicore systems and shared-memory architectures to improve efficiency. Recent studies explore real-time signal processing in IoT systems and agile edge classification for environmental monitoring. Dr. Neophytou maintains active collaborations in both technical and interdisciplinary research areas, contributing to both academic and practical advancements in engineering and computer science.

Marios RaspopoulosView profile

Associate Professor

• Telecommunications Engineering
• Wireless Networks
• 5G and 6G Communications
• +6 more

Dr. Marios Raspopoulos is an Associate Professor and Deputy Head of the School of Sciences at University of Central Lancashire Cyprus (UCLan Cyprus), specializing in Telecommunications Engineering. His roles include Course Leader for the BEng (Hons) Electrical and Electronic Engineering program and leadership in innovation and enterprise initiatives. He holds a PhD from the University of Surrey (2008) and has over 15 years of academic and industry experience. Education: PhD in Telecommunications, University of Surrey (2008) MSc in Communication Networks and Software, University of Surrey (2004) MEng in Electronics with Mobile Communications, University of Surrey (2003) HND in Electrical and Electronic Engineering, Higher Technical Institute (2001) Research Interests: Focus on advanced wireless communication systems, indoor positioning technologies, 5G/6G networks, IoT security, and pervasive computing. His work combines theoretical modeling with practical implementations in areas like 3D localization, radio propagation, and AI-driven network optimization. Grants & Funding: Coordinator for €249k ERMISS project on 3D positioning (2025–2027) WP Leader for €400k EU-funded PREVENT project (2024–2025) Coordinator for DEMETRA (€39k) and THESIS (€39k) projects (2023–2024) Awards: Best Paper Awards at ISD2016 and European Wireless 2005 Multiple academic prizes including Cable & Wireless (2004) and Presidential Prize (2001) Lab/Teams: Active in interdisciplinary research through collaborations with industry and EU initiatives. Leads innovation efforts in UCLan's School of Sciences and participates in global standards committees like IPIN's International Standards Committee.

Christos TtofiView profile

Lecturer

• Computer Vision and Image Processing
• Real-Time Software Algorithms
• FPGA Design
• +9 more

Dr. Christos Ttofi is an Associate Lecturer at the Department of Electrical and Electronic Engineering, UCLan Cyprus. He holds a PhD in Computer Engineering (University of Cyprus, 2014), an MSc in Computer Engineering (2011), and a BSc in Computer Engineering (2009). His research focuses on embedded systems, FPGA design, real-time algorithms, and computer vision. He has contributed to over 10 peer-reviewed publications and has received multiple awards, including the Best Paper Award at the IEEE International Conference on Microelectronic Systems Education (2009). Education: PhD in Computer Engineering, University of Cyprus (2009–2014) MSc in Computer Engineering, University of Cyprus (2009–2011) BSc in Computer Engineering, University of Cyprus (2005–2009) Research Interests: Computer Vision and Image Processing Hardware/Software Co-design Embedded Systems & Microcontrollers FPGA Design and Real-Time Algorithms Networks-on-Chip (NoC) and MPSoC Architectures Publications: His work spans embedded vision systems, FPGA-based computing, and real-time algorithm optimization, with notable contributions to IEEE Transactions and ACM conferences. Awards: Best Paper Award (IEEE Microelectronic Systems Education, 2009) Distinction as Best Senior Student in Computer Engineering (2008–2009) Full Scholarship for Doctoral Studies (2011–2014) Teaching & Grants: He leads the 'Digital Systems' module and contributed to research grants such as the EUROSTARS-funded 'RUNNER' project (2011–2013) and the Research Promotion Foundation's MPSoC initiative (2009–2011).

Rucha Bhalchandra JoshiView profile

Researcher

• Machine Learning
• Artificial Intelligence
• Data Privacy
• +3 more

Rucha Bhalchandra Joshi is a Researcher affiliated with the Computation-based Science & Technology Research Center (CaSToRC) at The Cyprus Institute . Her research focuses on advancing machine learning techniques with an emphasis on graph neural networks, privacy-preserving methodologies, and their applications in energy systems and computational science. Joshi’s work bridges theoretical advancements in AI with practical challenges in data privacy, resource optimization, and scalable energy analysis. Her publications span topics such as adversarial attacks on graph structures, efficient graph representation learning, and privacy mechanisms for sensitive data. She has contributed to innovations like ReconXF for privacy leakage analysis and eBIM-GNN for energy-efficient building analysis. Her research often intersects computational methods with real-world infrastructure challenges. Joshi’s interdisciplinary approach combines principles from graph theory, cybersecurity, and energy systems engineering. While specific grants or awards are not explicitly noted in the provided materials, her work reflects a commitment to addressing emerging challenges in computational science and privacy-aware AI.

Rafaella EliaView profile

Researcher

• Biomedical Signal Processing
• Machine Learning
• Pattern Recognition
• +7 more

Rafaella Elia is a Researcher at the University of Cyprus, Department of Electrical and Computer Engineering, affiliated with the KIOS Research and Innovation Center of Excellence. Since April 2025, she has been contributing to the GuardAI project, focusing on robust and secure AI systems for safety-critical applications. Her academic journey at the University of Cyprus included a Ph.D. in biomedical signal processing, machine learning, and wearable sensors (2024) and a B.Sc. (2017). Ph.D., Electrical and Computer Engineering, University of Cyprus (2024) B.Sc., Electrical and Computer Engineering, University of Cyprus (2017) Her research spans biomedical signal processing, wearable sensors, and secure AI systems. She applies machine learning to UAV operations, smart grid cybersecurity, and computer-aided medical diagnostics. Her work integrates sensor data analysis with anomaly detection in autonomous systems. Recent publications highlight her focus on UAV-ground robotics cybersecurity, real-time embedded systems, and dataset optimization. She explores intersections of human-machine interaction, wearable sensor fusion, and robust AI implementation for safety-critical infrastructure. Elia actively contributes to academic leadership as Student Activities Chair of the IEEE Cyprus Section, promoting student engagement and technical initiatives.