Mian Pan is an Associate Professor at Hangzhou Dianzi University. He holds a B.S. in Electronic Engineering (2007) and a Ph.D. in Signal Processing (2013) from Xi'dian University, Xi’an, China. His research focuses on machine learning, radar signal processing, pattern recognition, and audio/video/image processing algorithms. Education: Ph.D. in Engineering Sciences, 2013, Xi'dian University B.S. in Electronic Engineering, 2007, Xidian University Research Interests: Mian Pan explores advanced machine learning techniques for radar signal analysis, develops algorithms for pattern recognition in complex systems, and investigates efficient processing methods for audio, video, and image data. His work bridges theoretical foundations with practical applications in signal processing domains. Publications & Awards: No specific articles, grants, or awards are listed in the provided information. Advising & Labs: No student advisees, lab affiliations, or grant details are mentioned.
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.
Vasos Vassiliou is an Associate Professor in the Department of Computer Science at the University of Cyprus and Founding Academic Member & Research Group Leader at the Smart Networked Systems (SNS) Multidisciplinary Research Group within the CYENS Research Center. His work focuses on systems and protocols for improving network performance, reliability, and security in next-generation communication systems (5G/6G), with a strong emphasis on distributed AI/ML techniques, device-to-device (D2D) networking, IoT security, programmable metasurfaces, and intelligent network resource management. Department of Computer Science, University of Cyprus CYENS Research Center, Cyprus His research spans multiple subfields including D2D communication (interference management, device discovery), IoT security (blockchain solutions, intrusion detection), network optimization (traffic prediction, power management), and programmable metasurfaces for advanced beam steering. Recent projects like ERMIS (3D Indoor Positioning), ADROIT-6G (DAI-driven architecture), and METACITIES (digital twins/metaverse) demonstrate his leadership in cutting-edge research. His publications reveal a strong focus on distributed intelligence , machine learning applications , and security protocols across wireless systems. He has supervised multiple PhD students to completion and actively contributes to IEEE/ACM as Senior Member. IEEE Senior Member ACM Senior Member Teaching responsibilities include core courses like Computer Networks and specialized postgraduate modules on IoT Networks .
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.
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.
Professor Mavronicolas Marios is a faculty member in the Department of Computer Science at the University of Cyprus. His academic journey includes a Diploma in Electrical Engineering (Summa Cum Laude) from the National Technical University of Athens (1985) and a Ph.D. in Computer Science from Harvard University (1992). His research focuses on Algorithm Theory, Game Theory, Distributed Computing, Networking, and Internet Systems. He has held visiting positions at institutions such as the University of Connecticut and the University of Paderborn. Over 100 publications in top-tier venues highlight his contributions to computational complexity, Nash equilibria, and network security. His work bridges theoretical computer science with practical applications, emphasizing strategic decision-making and distributed systems. Research areas include the computational complexity of Nash equilibria, game-theoretic models for network security, and algorithmic challenges in distributed systems. He has explored topics like risk-averse equilibria, congestion games, and the structural properties of multi-player games. His recent work addresses decision problems in win-lose scenarios and the existence of equilibria under varying valuation functions.
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.
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.
Antonis Savva serves as a Researcher at the KIOS Research and Innovation Center of Excellence, University of Cyprus, a role he has held since March 2020 focusing on computer vision applications for drone systems. His academic background includes: MEng in Electronics and Systems from the School of Electrical and Computer Engineering, National Technical University of Athens (2014) MSc in Management of Organizations and Entrepreneurship from the same institution (2018) PhD in medical data analysis from the School of Electrical and Computer Engineering, National Technical University of Athens (2019) Dr. Savva specializes in signal processing and computer vision with dual applications in medical imaging and autonomous systems. His doctoral work pioneered algorithms for aligning pre/post-operative CT scans in bone augmentation procedures, reconstructing panoramic jaw views, and quantifying dynamic brain region associations via fMRI analysis in both healthy and pathological states. Current research extends these methodologies to drone technology, emphasizing real-time visual data processing and pattern recognition for aerial applications. He operates within the KIOS Research and Innovation Center of Excellence, a specialized hub for intelligent systems and networks at the University of Cyprus driving cross-disciplinary innovation in computational methodologies.
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.
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).
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
Panayiotis Papadopoulos is an Associate Research Scientist at The Cyprus Institute (CyI), affiliated with the Energy, Environment & Water Research Center (EEWRC). He holds a PhD in Electrical and Electronics Engineering from the University of Cyprus (2020), focusing on distributed monitoring and control frameworks for smart buildings. His research spans control theory, intelligent buildings, and power electronics, with an emphasis on fault diagnosis and energy efficiency. Key projects include the EU H2020 COLLECTiEF initiative, which aims to enhance energy flexibility in buildings through collective intelligence networks. His work integrates digital twin architectures, deep reinforcement learning, and model-based approaches to optimize HVAC systems, power electronics, and grid interactions. He has contributed to sensor fault detection in smart grids and building automation, emphasizing real-time data analysis and adaptive control strategies. Papadopoulos' contributions include over 15 peer-reviewed publications since 2013, focusing on fault-tolerant control, energy management systems, and smart building technologies. His research bridges theoretical control methodologies with practical applications in sustainable infrastructure.
Yrd. Doç. Dr. Shahin Mehdipour Ataee is an Assistant Professor in the Department of Computer Engineering at the Faculty of Engineering, Final University. His research focuses on semantic web services choreography, logic programming, and formal methods in computer engineering. He holds a PhD in Computer Engineering from Eastern Mediterranean University (2018), an MSc in Software Engineering from Qazvin Azad University (2010), and a BSc in Computer Engineering from Mazandaran University of Science and Technology (2006). His work emphasizes the application of abstract state machines (ASM) and F-Logic to solve complex problems in service-oriented architectures. Notable contributions include developing algorithms for semantic web service composition and applying logic-based frameworks like Flora-2 to AI challenges such as the Wumpus World. His research also extends to video analysis for periodic activity detection. No scientific awards or grants explicitly listed in the provided information. His academic profile includes a strong focus on both theoretical advancements and practical implementations in computer science domains. Currently affiliated with Final University’s Faculty of Engineering, his educational background spans multiple institutions across different countries, reflecting a global academic trajectory. No specific labs or teams are mentioned in the current data.
Violetta Rafai is an Assistant Professor in Medical Education at the European University Cyprus, School of Medicine. She holds a MD (1997) and PhD (2017) in Emergency Medicine from the University of Novi Sad and University of Medical Sciences, Kragujevac, respectively. Specializes in cardiopulmonary resuscitation and emergency care Coordinator of Physiology I courses Active contributor to international resuscitation guidelines Her research focuses on improving cardiac arrest outcomes through pharmacological interventions and guideline implementation. Key projects include the EuReCa TWO study and EUROCALL investigations into emergency response delays. Recent publications emphasize geriatric resuscitation appropriateness, chest compression mechanics, and advanced life support education. She serves on the European Resuscitation Council's Science and Education Committee and chairs their BLS International Course Committee. Awards : Fellowship of the European Resuscitation Council (2010)
