جستجوی استاد راهنمای دانشگاهی

Michael Sirivianosمشاهده پروفایل

دانشیار

• Cybersecurity
• Social Media Analysis
• Disinformation Detection
• +۵ مورد دیگر

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.

Michael Georgiadesمشاهده پروفایل

استادیار

• Computer Networks
• Tactile Internet
• Mobile Edge Computing
• +۳ مورد دیگر

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.

• Distributed and Network Computing
• Big Data Analytics
• Cloud Computing
• +۴ مورد دیگر

George Pallis is a Professor in the Department of Informatics at the University of Cyprus, affiliated with the School of Science. He holds a BSc and PhD from Aristotle University of Thessaloniki. His research focuses on Distributed and Network Computing, Big Data Analytics, and Cloud/Edge/Fog Computing. He leads the Master's Program in Data Science and has secured over €5.5M in research funding from the EU, Cyprus, and industry partners like Google. Education: BSc (2001), PhD (2006) from Aristotle University of Thessaloniki. Research Interests include Internet technologies, large-scale network environments, and cloud computing. He has published over 100 articles in top-tier journals and conferences (e.g., IEEE TKDE, ACM TOIT, WWW, ICDCS) and contributed to international standards (DIN, CEN). His work spans topics like fake news detection, edge computing frameworks, and energy-efficient micro-data centers. Key Achievements: Editor-in-Chief Emeritus of IEEE Internet Computing, recipient of multiple best paper awards, and contributor to projects like RAINBOW (H2020), UNICORN, and ICARUS. His research explores cutting-edge areas such as LLM manipulation, polarization detection, and carbon-aware computing. He has supervised five PhD students and served as General Chair for IEEE/ACM SEC 2024 and IEEE IC2E 2024. His work bridges academia and industry through collaborations on AI, IoT, and sustainable computing.

• eHealth
• mHealth
• Medical Imaging Analysis
• +۴ مورد دیگر

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.

Mian Panمشاهده پروفایل

دانشیار

• Machine Learning
• Radar Signal Processing
• Pattern Recognition
• +۳ مورد دیگر

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.

Hadi Işık Aybayمشاهده پروفایل

استاد

• Computer Engineering
• Neural Networks
• Distributed Systems
• +۴ مورد دیگر

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.

• Cloud Computing
• 3D Video Processing
• Mobile Computing
• +۳ مورد دیگر

Katerina Papanikolaou is an Associate Professor in the Department of Computer Science and Engineering at the European University Cyprus, located in Nicosia. She holds a PhD in Electronic and Electrical Engineering from University College London (2001) and a Bachelor of Science in Physics from Imperial College of Science, Technology and Medicine (1993). Her academic roles include program coordination for the Computer Science program (2008-2019) and membership in faculty selection committees. Her research focuses on cloud computing, mobile networks, and ambient assisted living technologies. Notable projects include EU-funded initiatives like ICT Cost Action CA16226 (2017-2021) for elderly care environments and ICT COST Action IC1303 (2014-2017) for enhanced living environments. She has contributed to over 20 peer-reviewed publications, emphasizing optimization of resource migration in 3D video processing and energy-efficient mobile cloud systems. Prof. Papanikolaou actively participates in IEEE committees, serving as Cyprus Section Vice Chair (2018-2019) and Secretary (2016-2018). Her work integrates interdisciplinary approaches combining machine learning, wireless networks, and healthcare applications to address modern computational challenges.

Christiana Vardaمشاهده پروفایل

مدرس

• Media Literacy
• Epistemic Cognition
• Emotions
• +۶ مورد دیگر

Dr. Christiana Varda is a Lecturer and Course Leader of the BSc (Hons) Media Production at UCLan Cyprus. She holds a PhD in Communication and Internet Studies (ongoing), an MA in Interactive Multimedia, and dual BAs in Journalism and English from Pennsylvania State University. Her research focuses on emotions, epistemic cognition, and informal learning in digital environments, particularly addressing misinformation and media literacy. She has presented at international conferences like ICLS and EARLI, and her work has been recognized with the ICLS Best Student Paper nomination. Varda also leads research projects on combating misinformation and has secured grants from the European Commission and the US Department of State. She is actively involved in media literacy initiatives, workshops, and academic societies such as ISLS and EARLI. **Education:** PhD Communication and Internet Studies (Cyprus University of Technology, 2019–present) MA Interactive Multimedia (Cyprus University of Technology, 2016) BA Journalism and English (Pennsylvania State University, 2005) **Research Interests:** Christiana explores how emotions and cognitive processes shape online information evaluation, aiming to design learning environments that foster critical citizenship. Her work intersects media literacy, digital journalism, and science communication. **Grants and Awards:** Lead researcher on the EU-funded VERITY project (2022–2025) Recipient of the Cyprus State Scholarship (2020–present) ICLS Best Student Paper Nominee (2022) **Teaching and Administration:** As Course Leader, she oversees modules like Introduction to Media Literacy and Video Post-Production. She also serves on the ERASMUS committee and has organized workshops on data journalism and media literacy. **Outreach:** Varda founded the NGO Media What and co-organizes events like the Digital Journalism Against Misinformation series. She has delivered invited talks at TEDx Larnaca and international conferences, advocating for critical media engagement.

Shahin Mehdipour Ataeeمشاهده پروفایل

استادیار

• Semantic Web Services
• Abstract State Machine Choreography
• Logic Programming
• +۳ مورد دیگر

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.

• Biomedical Image Analysis
• Digital Image and Video Processing
• Dynamically Reconfigurable Architectures
• +۵ مورد دیگر

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.

• Neurology
• Multiple Sclerosis
• Medical Imaging
• +۳ مورد دیگر

Marios Pantzaris is a Visiting Associate Professor in the Department of Neurology at the Cyprus School of Molecular Medicine, part of the Cyprus Institute of Neurology and Genetics (CING). He also serves as the Director of Neurology at CING and previously held the role of Head of the Multiple Sclerosis Clinic. His academic qualifications include an MD from Aristotle University in Greece (1991) and specialization in Neurology (1995). MD, Aristotle University, Greece (1991) Specialist Neurologist, Aristotle University, Greece (1995) Pantzaris’s research focuses on neuroimmunology, biomarker discovery, and medical imaging technologies for neurological diseases, particularly multiple sclerosis (MS). His work explores the role of antibodies against phospholipid-binding proteins in MS progression, genetic factors influencing disease severity, and advanced ultrasound imaging techniques for vascular and neurological diagnostics. His recent publications span topics such as antibody profiling in MS, HEVC video compression for ultrasound, and carotid artery segmentation algorithms. These studies highlight his interdisciplinary approach, integrating neurology, biomedical engineering, and computational informatics. Pantzaris has led and participated in clinical trials and research projects funded by the Cyprus Research Promotion Foundation, Genesis Pharma Cyprus, and the Ministry of Commerce, Industry, and Tourism. These include investigations into novel therapies for MS, miRNA profiles in interferon-beta resistance, and modifier gene studies in MS prognosis.

Christos P. Loizouمشاهده پروفایل

استاد مدعو

• Medical Imaging
• Video Analysis and Processing
• Motion Analysis
• +۶ مورد دیگر

Christos P. Loizou is an Adjunct Professor at the Department of Electrical Engineering, Computer Engineering and Informatics, Cyprus University of Technology, Cyprus. With over 25 years of experience, his expertise spans medical imaging, video analysis, signal processing, and their applications in medicine. Education: PhD, 2005, Kingston University MSc, 1989, Kaiserslautern University BSc, 1987, Kaiserslautern University Research Interests: His work focuses on medical imaging techniques, video processing, motion analysis, and biosignal analysis (e.g., ultrasound and MRI). He also explores pattern recognition and voice stress analysis, with applications in healthcare and medical informatics. Grants/Advising: No specific grants or advisees listed in the provided information. Labs/Teams: No affiliated labs or teams mentioned.

Marios D. Dikaiakosمشاهده پروفایل

استاد

• Internet Computing
• Cloud Computing
• Online Social Networks
• +۸ مورد دیگر

Marios D. Dikaiakos is Professor of Computer Science at the University of Cyprus where he serves as the Founding Director of the Laboratory for Internet Computing. He previously served as founding Director of the Center for Entrepreneurship (2015-2021) and Head of the Computer Science Department (2010-2014). His academic journey includes a Ph.D. from Princeton University (1994) and a Dipl.-Ing. from the National Technical University of Athens (1988). Dr. Dikaiakos' educational background: Ph.D. in Computer Science from Princeton University (1994) M.A. degree from Princeton University (1991) Dipl.-Ing. degree from National Technical University of Athens (summa cum laude, 1988) His research spans Internet Computing with a focus on Cloud Computing, Online Social Networks, and Vehicular Computing. Recent work explores Edge Computing, Fog Computing, and AI applications in entrepreneurship and social media analysis. His interdisciplinary approach combines technical computing expertise with insights into human behavior and business applications, particularly examining how technology influences entrepreneurship, polarization, and misinformation detection. His recent publications reveal a strong trend toward energy-efficient computing, AI-driven social media analysis, and the intersection of computing with entrepreneurship. The work spans technical domains like Edge and Fog Computing while addressing societal challenges including misinformation detection, polarization analysis, and sustainable computing practices. Many publications demonstrate collaborative research across computer science subfields. Dr. Dikaiakos has received several prestigious awards: Best paper award of the 14th IEEE CloudCom conference (2023) Best student paper award for BenchPilot (2022) Best paper award for 5G-Slicer (2022) Best Demo Award at the ACM/IEEE Symposium on Edge Computing (2020) As an academic advisor, Dr. Dikaiakos has successfully guided PhD students including Demetris Paschalides (2024) and Moysis Symeonidis (2022). He has been principal or co-principal investigator for 25 projects funded by the European Union and the Research Promotion Foundation of Cyprus. His service includes editorial roles at ACM Computing Surveys and Computing journals, and leadership positions in major conferences like EuroPar 2023 and CCGrid 2019. Dr. Dikaiakos founded and directs the Laboratory for Internet Computing at the University of Cyprus, which focuses on cutting-edge research in distributed systems, cloud and edge computing, and social network analysis. The lab has developed multiple research software systems released internationally and maintains active collaborations with institutions across Europe. Current projects address challenges in energy-aware computing, misinformation detection, and AI applications in entrepreneurship.

Charalambos Kyriakouمشاهده پروفایل

پژوهشگر ارشد

• Machine Learning
• Artificial Neural Networks
• Pavement Management Systems
• +۴ مورد دیگر

Dr. Charalambos Kyriakou serves as a Research Associate at the KIOS Research and Innovation Center of Excellence, University of Cyprus. His academic foundation includes a PhD in Civil Engineering (2019), MSc in Construction Project Management (2010), and BSc in Civil and Environmental Engineering (2009), all from the University of Cyprus except his MSc from the University of Manchester. Previously, he was a Post-Doctoral Researcher at the EUPALINOS Laboratory and the Nireas International Water Research Center. Educational background: Bachelor of Science in Civil and Environmental Engineering, University of Cyprus (2009) Master of Science in Construction Project Management, University of Manchester (2010) PhD in Civil Engineering, University of Cyprus (2019) Dr. Kyriakou's research pioneers the application of machine learning and artificial neural networks to revolutionize pavement management systems. His work centers on smartphone-based sensing and vibration analysis for real-time roadway condition assessment, developing cost-effective solutions for detecting potholes, cracks, speed bumps, and pavement roughness. This interdisciplinary research bridges transportation engineering with artificial intelligence , creating scalable frameworks for smart city infrastructure monitoring that leverage crowdsourced vehicle data and advanced pattern recognition techniques. Analysis of his 15 most recent publications reveals a cohesive research trajectory focused on smartphone-enabled pavement diagnostics. His work consistently integrates multi-sensor data fusion (vibration, video, OBD-II) with machine learning classifiers to address critical transportation challenges. The publications demonstrate progressive refinement from basic anomaly detection (2016-2017) to sophisticated spatial mapping and rating systems (2021-2022), spanning civil engineering, computer science, and intelligent transportation systems with emphasis on practical urban infrastructure applications. Dr. Kyriakou's research operations occur within the KIOS Research and Innovation Center of Excellence, where he collaborates with interdisciplinary teams developing intelligent systems for critical infrastructure. His laboratory work combines field data collection from instrumented vehicles with advanced computational modeling, utilizing the EUPALINOS Laboratory's resources for pavement testing and the Nireas Center's water infrastructure expertise for integrated urban system analysis.

• eHealth
• mHealth
• Medical Imaging Analysis
• +۷ مورد دیگر

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.