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.
جستجوی استاد راهنمای دانشگاهی
برای مسیر پژوهشیتان، استاد راهنما، استاد دانشگاه و پژوهشگر مناسب را پیدا کنید و با آنها ارتباط بگیرید.
نمایش ۱-۱۵ از ۸۱ استاد راهنما
اطلاعات پروفایلها از صفحات عمومی دانشگاهها گرفته شده و ممکن است بهروز نباشد.
- Data Science
- Machine Learning
- Social Networks
- +۵ مورد دیگر
Christos Nicolaides is an Assistant Professor at the Department of Business and Public Administration within the School of Economics and Management at the University of Cyprus (UCY), holding a secondary appointment as a Digital Fellow at MIT's Initiative on the Digital Economy. Previously, he spent three years as a James McDonnell Foundation-funded Postdoctoral Fellow at MIT Sloan School of Management. His educational background includes a PhD in Engineering from Massachusetts Institute of Technology (2014), SM from MIT (2011), MSc in Applied Mathematics from Imperial College London (2009), and BSc in Physics from University of Thessaloniki (2008). Nicolaides' research applies mathematical, statistical, and computational tools to large-scale empirical questions in social influence mediated by digital technologies. His work spans Data Science , Machine Learning , Social Networks , and Computational Social Science , with significant contributions to understanding human mobility patterns, disease transmission dynamics, and social contagion effects. His research has established novel methodologies for analyzing complex network structures in mobility data and social interactions. Analysis of his 15 most recent publications reveals a consistent focus on applying network science to real-world problems, particularly in pandemic response (12 publications), human mobility analytics (9 publications), and social contagion dynamics (7 publications). His work demonstrates increasing interdisciplinary integration, combining computer science, epidemiology, and organizational behavior since 2020. Marie S. Curie Fellow Two Highly Cited Papers by Web of Science (2017, 2020) Best Paper Award by Risk Analysis Society (2019) Professor of The Week by Poets & Quants (2020) As principal institutional investigator, Nicolaides has secured over €1 million in research funding from the European Commission, industry partners, Cyprus Innovation and Research Foundation, and Cyprus Ministry of Health. His current teaching includes Social Networks and Entrepreneurship, Introduction to Operations Management, and Quantitative Methods in Management. Media coverage of his work spans major outlets including The New York Times, CNN, Nature, and Science, with significant impact on public health policy discussions during the COVID-19 pandemic.
Yıltan Bitirimمشاهده پروفایل
دانشیار
Assoc. Prof. Dr. Yıltan Bitirim is a faculty member at the Computer Engineering Department of Eastern Mediterranean University in North Cyprus. With over two decades of academic experience, he has served in various roles including Vice Chair (2014-2022), Academic Affairs Coordinator (2025-), and committee member for ABET assessment, curriculum development, and faculty recruitment. Current academic rank: Associate Professor Active administrative roles: Senate Member (2023-), Information Technology Commission Member (2023-) Professional memberships: ACM, IEEE Senior Member, Cyprus Turkish Chamber of Computer Engineers Research Interests focus on four primary areas: Information Retrieval Systems – evaluating search engine effectiveness and reverse image search performance Machine Learning – applied to emotion classification, gender recognition, and medical diagnosis Data Mining – used in Turkish word-stemming analysis and user behavior studies Biometrics – specializing in hand/wrist/palm vein recognition systems and voice-based identification Publications demonstrate consistent contributions across disciplines, with recent works (2023-2025) emphasizing: Deep learning applications in biometric authentication Advanced emotion recognition systems Medical AI for diabetes management and retinopathy diagnosis Biometric spoof detection mechanisms Turkish language processing challenges Recommendation system innovations Awards & Recognition : Research Incentive Awards (2020, 2021) Best Paper Award at ICIW 2007 IEEE Senior Member status As an educator, he has supervised numerous thesis committees and taught foundational courses in computer engineering, including CMPE 112 and CMPE 342. His certifications (MCTS, MCITP) reflect technical expertise in Microsoft technologies.
Dr. Avgoustis Avgousti is a Senior Research and Technical Scientist at The Cyprus Institute's Science and Technology in Archaeology and Culture Research Center (STARC). He specializes in Research Software Engineering for Digital Humanities and Digital Cultural Heritage Informatics. With over 13 years at STARC, he leads digital transformation initiatives, focusing on advanced computational tools and methodologies to bridge technology and cultural heritage. Originally based in New York City, Dr. Avgousti completed a Postdoctoral Fellowship at the National Center for Supercomputing Applications (NCSA) at the University of Illinois Urbana-Champaign, where he contributed to software engineering and cultural heritage research. His expertise spans Big Data applications, semantic web technologies, and digital accessibility for cultural heritage institutions. His research interests emphasize democratizing access to small museum collections through platforms like CyprusArk, semantic content models, and interoperable digital systems. He advocates for reusable frameworks that empower non-technical scholars and small institutions. As a former college lecturer, he prioritizes education and mentorship in digital heritage. Dr. Avgousti’s work addresses challenges in digitizing archaeological and historical datasets, integrating computational methods into heritage preservation, and fostering international collaboration in cultural informatics. His projects often involve building web-based systems for data aggregation and public dissemination.
Michael Georgiadesمشاهده پروفایل
استادیار
Dr. Michael Georgiades is an Assistant Professor at Neapolis University of Pafos, specializing in computer networks. He holds a BEng (First Class Honours) from King’s College London, an MSc from University College London, and a PhD from the University of Surrey. His career includes roles as R&D Manager at Primetel PLC, Research Fellow at the Centre of Communication Systems Research (CCSR), and Systems Development Engineer at INSIG Ltd. He has contributed to EU-funded ICT projects, holds patents, and authored IETF standards. His research focuses on Tactile Internet, Mobile Edge Computing, Vehicular Networks, IoT, and Edge Intelligence. Research Interests: Tactile Internet Mobile Edge Computing Vehicular Networks IoT Edge Intelligence Awards: Nokia Prize for Research Excellence Primetel Awards for Excellence EPSRC and British Council Studentships Publications span cutting-edge topics like adversarial ML attacks on IoT networks, cryptocurrency market analysis, and satellite-backhauled 5G systems. His work bridges theoretical advancements with practical applications in healthcare, agriculture, and transportation systems.
Professor George Giaglis is a prominent academic in the School of Business at the University of Cyprus, serving as Director of the Institute for the Future. He holds a PhD in Information Systems from Brunel University and a BSc (Hons) in Information Systems from the Athens University of Economics and Business. His academic journey includes roles such as Professor, Vice Rector, and Associate Professor at the Athens University of Economics and Business (2002–2017) and prior positions at the University of the Aegean and Brunel University. His research focuses on blockchain technology, IoT, digital currencies, and pervasive information systems. He has contributed to over 200 publications, exploring topics like blockchain integration in marine systems, NFTs, CBDCs, and social network dynamics. His work bridges technology and business, addressing digital transformation challenges and ethical implications of emerging technologies. Giaglis has organized major conferences like Decentralized 2019 and contributed to EU blockchain policy discussions. His research emphasizes practical applications of technology in sectors like healthcare, finance, and urban logistics. Despite prolific output, no specific awards are noted, though his h-index of 25 reflects significant academic impact. His current roles involve advancing the Institute for the Future’s projects, advising on digital innovation strategies, and mentoring researchers in decentralized systems. Ongoing work includes exploring AI-blockchain synergies and regulatory frameworks for digital currencies.
- Control Theory
- Robotics
- Autonomous Systems
- +۷ مورد دیگر
Savvas G. Loizou is a faculty member at the Cyprus University of Technology , affiliated with the Department of Mechanical and Materials Science and Engineering . He established the Robotics, Control, and Decision Systems Laboratory (RCDS Laboratory) in 2011. Education: PhD in Mechanical Engineering (2005) and Eng. Diploma (2000) from National Technical University of Athens (NTUA). Postdoctoral Experience: GRASP Laboratory, University of Pennsylvania (2005–2007). His research focuses on control theory for autonomous robotic systems , with applications in underwater, aerial, ground, and micro-robotics . Key areas include multi-agent coordination , human-robot interaction , task planning , and sensor-based navigation . Recent work emphasizes logistics automation , UAV hardware platforms , and bounded control algorithms . Dr. Loizou has contributed to multi-agent formation control , underwater vision systems , and nonlinear model predictive control for electric vehicles. He is active in control system design and navigation transformations for complex environments. His laboratory, RCDS , serves as a hub for research in autonomous systems and decision-making algorithms.
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.
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.
Kristis Alexandrou is a Researcher at the Science and Technology in Archaeology and Culture Research Center (STARC) of The Cyprus Institute. He holds a Master’s degree in Architecture (MA) and a Ph.D. in Architectural Engineering from the University of Cyprus, focusing on hybrid bending-active structural systems. His research emphasizes Structural Design, Computational Methods, and BIM applications in heritage conservation. He contributes to projects like ENI-CBC-MED BEEP, RIF-UrbanPeriscope, and Horizon Infra, advancing BIM interoperability for cultural heritage data management. His professional experience includes architectural design and heritage retrofitting in Cyprus. At STARC’s Virtual Environments Lab (VElab), he develops BIM-based workflows to address data interoperability challenges in arts and humanities. Key projects include 'BIM to BPS interoperability' leadership in the BEEP Project and semantic data integration for Mediterranean heritage sites. His work bridges computational innovation with sustainable heritage preservation.
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.
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.
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.
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
Rúben Gouveiaمشاهده پروفایل
استادیار
Rúben Gouveia is an Assistant Professor at the University of Lisbon's Faculty of Sciences, specializing in Human-Computer Interaction (HCI) and the design of tools for health and wellbeing. He holds a PhD from the University of Madeira, supported by a National PhD studentship from the Portuguese Foundation for Science and Technology. Previously, he served as an Assistant Professor at the University of Twente in the Netherlands. His research focuses on self-tracking technologies, wearable devices, and personal informatics, with a particular interest in how these tools mediate human behavior and cultural contexts. He has conducted studies on diverse topics including sports tracking, social robots, and navigation systems, emphasizing user-centered design principles. Recent work highlights include investigations into watchface customization preferences (CHI 2023), goal-setting mechanisms in health apps (DIS 2023), and activity tracking during life transitions (NordiCHI 2022). His research has been recognized with an Honorable Mention (Top 5%) at DIS 2023. He advises PhD students including Tina Ekhtiar, Lara Siering, and Naomi Stralen. His scholarship spans over 20 peer-reviewed articles in top-tier venues like CHI, Ubicomp, and Sensors, focusing on HCI applications in healthcare, education, and everyday life.