جستجوی استاد راهنمای دانشگاهی

Nikolas Bakirtzisمشاهده پروفایل

استاد

• Byzantine monasticism
• Medieval cities and fortifications
• Cultural heritage preservation
• +۴ مورد دیگر

Nikolas Bakirtzis is a Professor and Director of the Andreas Pittas Art Characterization Laboratories (APAC Labs) at The Cyprus Institute (CyI), leading the Science and Technology in Archaeology and Culture Research Center (STARC). He coordinates CyI's PhD program in Science and Technology in Archaeology and Cultural Heritage. Bakirtzis holds a PhD in Art and Architectural History from Princeton University. His research focuses on Byzantine and medieval urbanism, fortifications, monasticism, and the application of advanced digital and analytical methods in cultural heritage preservation. He has conducted fieldwork across Cyprus, Greece, and the Eastern Mediterranean, addressing issues like heritage at risk, climate change impacts, and illicit antiquities trafficking. Education: PhD in Art and Architectural History, Princeton University (2000s) Key Roles: Director, APAC Labs (since 2009) Coordinator, STARC PhD Program Marie Curie Fellow (2009), Getty Research Institute Fellow (2016), Tübingen Fellow (2024) Research Interests: His work bridges historical inquiry with scientific analysis, emphasizing interdisciplinary approaches to Byzantine and medieval art/architecture. Current projects include dendrochronology of Cypriot churches, digital documentation of UNESCO sites, and climate change's impact on heritage. He has pioneered studies on composite icons, hidden layers in paintings, and Byzantine fortifications' urban roles. Publications: Over 50 peer-reviewed articles and books, including the 2024 Routledge Handbook of the Byzantine City and studies on Thessaloniki's fortifications and Cypriot monasticism. Recent work combines BIM modeling, spectral imaging, and heritage ontology frameworks to preserve at-risk monuments. Awards: Marie Curie Grant (2009), Getty Foundation Grant (2017), Tübingen Fellowship (2024). Grants: Supported by EU frameworks, Dumbarton Oaks, and Cyprus Research Foundation. Labs/Teams: APAC Labs integrates chemistry, archaeometry, and digital tech for non-invasive analysis. Collaborates globally on projects like the Aleppo Madrasa reconstruction and Nicosia Cathedral's visual acuity studies.

Kosmia Loizidouمشاهده پروفایل

پژوهشگر ارشد

• Biomedical Engineering
• Medical Image Processing
• Machine Learning
• +۲ مورد دیگر

Kosmia Loizidou serves as a Post-Doctoral Researcher at the KIOS Research and Innovation Center of Excellence, University of Cyprus, following the completion of her Ph.D. in Electrical Engineering from the same institution in June 2023. Her doctoral research focused on Detection, Classification, and Prediction of Breast Abnormalities using Sequential Mammograms. Her academic credentials include: BSc in Mechanical and Manufacturing Engineering with a minor in Biomedical Engineering from the University of Cyprus (2016) MSc in Electrical Engineering, specializing in Biomedical Engineering, from the University of Cyprus (2018) PhD in Electrical Engineering from the Department of Electrical and Computer Engineering, University of Cyprus (2023) Dr. Loizidou's research centers on biomedical engineering with a specialized focus on medical image processing and machine learning applications for cancer diagnosis. She pioneers methodologies for breast cancer detection through temporal subtraction of sequential mammograms, developing advanced computer-aided diagnosis systems that classify masses and micro-calcifications while predicting near-term cancer occurrence. Her work bridges engineering innovation with clinical oncology to enhance early detection accuracy. Analysis of her publication trajectory reveals a concentrated research program leveraging machine learning and image processing on sequential mammograms. Key themes include temporal subtraction techniques for improving cancer localization, classification of benign versus malignant abnormalities, and predictive modeling of near-term breast cancer development. Her contributions span algorithm development, comprehensive reviews, and specialized applications for micro-calcifications and mass detection. Scientific awards: No awards or fellowships are documented in the provided information. Regarding academic mentoring and funding, no details are available about supervised students or secured research grants. Her professional activities appear centered on independent research within the KIOS framework. She operates within the KIOS Research and Innovation Center of Excellence, a premier hub for intelligent systems research at the University of Cyprus focused on critical infrastructure networks. This environment supports her interdisciplinary work at the intersection of biomedical engineering, computer science, and oncology.

Konstantinos Zagorisمشاهده پروفایل

مدرس

• Content-Based Image Retrieval
• Handwritten Text Recognition
• Document Image Processing
• +۳ مورد دیگر

Konstantinos Zagoris is a Lecturer in Databases and Distributed Systems at Neapolis University Pafos, Department of Computer Science. He coordinates ERASMUS programs and student affairs. Previously, he held research roles at Salford University, Institute of Informatics & Telecommunications (Demokritos), and Democritus University of Thrace. Education: Diploma in Electrical and Computer Engineering (2003) - Democritus University of Thrace, Greece PhD in Content and Metadata Based Image Document Retrieval (2010) - Democritus University of Thrace Research focuses on content-based image retrieval, handwritten text recognition, document image processing, and medical image analysis. He has authored over 40 publications in journals and conferences, emphasizing innovative methods like Fuzzy Delphi Method for staff selection, convolutional recurrent neural networks for historical manuscript recognition, and bio-inspired models for document enhancement. Led projects funded by Hellenic/EU grants, with notable contributions to competitions like ICDAR DIBCO and ICFHR H-KWS. His work bridges computer science and digital humanities, advancing archival digitization and medical diagnostic tools.

Andriana Nikolaidouمشاهده پروفایل

پژوهشگر

• Digital Cultural Heritage
• Cultural Narratives
• Advanced Imaging Technologies
• +۳ مورد دیگر

Andriana Nikolaidou is a Researcher and Digital Curator at the Andreas Pittas Art Characterization Laboratories (APAC Labs) within the Science & Technology in Archaeology and Culture Research Center (STARC) at the Cyprus Institute (CyI). She specializes in digital curation of art and cultural heritage collections, integrating cultural narratives with advanced imaging technologies. Her work bridges art, archaeology, and technology to enhance public engagement with cultural heritage. Education: BA (Hons) in Fine Arts MSc in Interactive Design MSc in Digital Cultural Heritage Research Focus: She examines artists’ studios as living archives and uses interactive documentation methods to explore connections between artists and their environments. Projects include digital explorations of Giovanni Baronzio’s Crucifixion, Titian’s Ecce Homo, UNESCO churches in Troodos, and Cypriot archaeological sites. She manages DIOPTRA, a digital library for Cypriot culture, overseeing digitization workflows for photographic archives, numismatic materials, manuscripts, and 3D models. Labs & Teams: APAC Labs, DIOPTRA Project Team, STARC Research Group.

Popi Iacovouمشاهده پروفایل

استادیار

• Architecture and Performance
• Architecture and Moving Image
• Spatial Experience
• +۳ مورد دیگر

Popi Iacovou serves as Assistant Professor in the Department of Architecture at the University of Cyprus, with prior teaching appointments at Central Saint Martins College of Art and Design, University of Cambridge, Neapolis University, and the University of Nicosia. Her interdisciplinary research bridges architectural theory and design practice through critical engagement with performance studies and time-based media. Her educational foundation includes a PhD from the Bartlett School of Architecture (supported by A.G. Leventis Foundation and FfWG scholarships), postgraduate studies in 'Architecture and the Moving Image' at the University of Cambridge (Cambridge Commonwealth Trust scholarship), and a Diploma in Architecture from Aristotle University of Thessaloniki. Iacovou's research investigates spatiotemporal phenomena through the lens of theatricality and everyday events, examining how moving image methodologies enable critical analysis of space across scales. Her work establishes Architecture and Performance as a vital framework for understanding spatial experience, temporality, and social production of place, with significant contributions to design research via filmic practice and digital media experiments. Recent publications reveal a clear trajectory toward immersive digital heritage reconstruction and mediated architectural narratives , particularly evident in her 2024 works on digital surrogates for difficult modernist heritage and exhibition curation as narrative staging. This evolution demonstrates increasing integration of virtual technologies with architectural theory while maintaining core focus on spatial experience. Her teaching expertise spans architectural pedagogy, notably documented in the 2021 edited volume on first-year design education, reflecting commitment to innovative curriculum development across international institutions.

Andreas Aristidouمشاهده پروفایل

دانشیار

• Computer Graphics
• Character Animation
• Motion Capture
• +۵ مورد دیگر

Dr. Andreas Aristidou is an Associate Professor at the Department of Computer Science, University of Cyprus, and a Senior Research Fellow at CYENS Centre of Excellence. He leads the Graphics & Extended Reality Lab and specializes in character animation, motion capture, and digital heritage. His research integrates machine learning, generative AI, and VR/AR technologies to preserve cultural heritage and advance interactive virtual environments. Educations: PhD in Signal Processing and Communications (University of Cambridge, 2007–2010) MSc in Mobile and Personal Communications (King's College London, with honors) BSc in Informatics and Telecommunications (National and Kapodistrian University of Athens) Research Interests: Focus on character animation analysis/synthesis, motion capture techniques, cultural heritage digitization, and applications of Conformal Geometric Algebra. His work bridges computer graphics with tangible/intangible cultural preservation. Key Projects: Lead Principal Investigator for Horizon Europe-funded HAMLET (2024–2027) to democratize generative AI for cultural industries. Principal Investigator for PREMIERE (2022–2025), enhancing performing arts with AI/XR. Developed the Virtual Dance Museum and 3D Reptiles Database for cultural and ecological documentation. Awards & Grants: Received ΔΙΔΑΚΤΩΡ Fellowship (2012–2014) and NVIDIA GPU Grant (2017). Secured over €8M in funding from Horizon Europe, ERASMUS+, and Cyprus Seeds. Best Paper Award at Eurographics Workshop on Graphics and Cultural Heritage (2014). Editorial & Community Roles: Editorial board member of The Visual Computer and Heritage journals; active in SIGGRAPH, Eurographics, and ACM-SCA program committees. Served in Cyprus’s Parallel Parliament for research policy (2020–2021).

Boran ŞEKEROĞLUمشاهده پروفایل

دانشیار

• Deep Learning
• Computer Vision
• Pattern Recognition
• +۳ مورد دیگر

Assoc. Prof. Dr. Boran ŞEKEROĞLU serves as Head of the Information Systems Engineering Department at Near East University since 2013, following his tenure as Vice Chairman of Computer Engineering Department (2009-2013). A Near East University alumnus, he earned BSc (2001, honors), MSc (2004), and PhD (2008) in Computer Engineering while progressing from research assistant to department leadership. His academic qualifications: BSc in Computer Engineering, Near East University, 2001 (with honors) MSc in Computer Engineering, Near East University, 2004 PhD in Computer Engineering, Near East University, 2008 Dr. ŞEKEROĞLU's research centers on Deep Learning and Computer Vision , pioneering neural network applications for biometric identification (banknotes, coins, signatures) and medical diagnostics. His work evolved from document image enhancement to lung tumor segmentation using SVMs, and currently focuses on 3D face reconstruction from skull images, gender/age classification, and a novel system for measuring ascending aorta diameter with high precision. He has supervised over 20 undergraduate projects and 15 completed MSc theses, and currently mentors 2 PhD and 6 MSc students. Dr. ŞEKEROĞLU actively contributes to academic discourse as a reviewer, editorial board member, and consultant for scientific journals and conferences. He leads a research group specializing in medical image analysis, notably developing an accurate aortic diameter measurement system.