جستجوی استاد راهنمای دانشگاهی

Stacey Pierson is a Professor of the History of Chinese Ceramics at SOAS University of London, affiliated with the School of Arts and Department of History of Art and Archaeology. She holds advanced qualifications including a DPhil from Sussex University and is a Fellow of the Royal Society of Arts (FRSA) and the Higher Education Academy (SFHEA). Her career includes a significant tenure as Curator of the Percival David Foundation of Chinese Art (1995–2007), housing the renowned David ceramic collection. Research Interests Her work focuses on Chinese ceramics' art history, archaeology, and technology; the global movement and impacts of Chinese ceramics; and the history of Asian art collecting and exhibition practices in Britain. Notable projects include research on Dr Johnson’s Chinese teapot (displayed at the British Museum) and studies on Ming porcelain’s global consumption. Awards - Fellow of the Royal Society of Arts (FRSA) - Fellow of the Higher Education Academy (SFHEA) Advising & Grants Supervises research students exploring topics such as Mongol-era art, transcontinental textile reception, and the socio-economic role of ceramics in Myanmar. Her editorial roles include series editor for Routledge’s "Histories of Material Culture and Collecting, 1550-1950" . Labs & Teams Associated with the Percival David Foundation and SOAS’s curatorial programs, contributing to MA programs in Curating Cultures and Creative and Cultural Industries .

• Chinese Ceramics Art History
• Archaeology of Ceramics
• History of Collecting Asian Art
• +۳ مورد دیگر

Cara Tremain is an Assistant Professor in Archaeological Science at the Department of Archaeology, Simon Fraser University. Her research focuses on ethical and legal dimensions of the antiquities market, including looting, provenance, and digital heritage technologies. She holds a PhD from the University of Calgary, an MA from Trent University, and a BA (Hons) from University College London. Tremain has conducted fieldwork in Belize and contributed to museum projects in the UK and North America. Education: PhD, Archaeology, University of Calgary MA, Anthropology, Trent University BA (Hons), Archaeology, University College London Research Interests: Tremain’s work examines the intersection of archaeology, museums, and ethics. Key themes include the global antiquities market’s impact on cultural heritage, digital technologies (AR/VR, 3D modeling) for heritage preservation, and Mesoamerican archaeology. She critiques the trade of looted artifacts and advocates for transparent provenance practices. Recent Contributions: Her publications analyze looting trends, museum collections, and auction data. Notable works include The Market for Mesoamerica (2019) and studies on Sotheby’s Maya antiquities sales. She also explores looted site rehabilitation in Belize and ancient Maya dress through museum collections. Labs/Teams: Collaborates with the Ka’Kabish Archaeological Research Project and institutions like the Museum of Vancouver. Teaches courses on archaeological collections management.

• Museums
• The Antiquities Market
• Looting
• +۴ مورد دیگر

Dr. Shahrzad Zargari serves as Associate Head and Cyber Security and Computer Networks Subject Group Lead at Sheffield Hallam University's College of Business, Technology and Engineering. With over 20 years of experience in the IT industry and academic teaching since 2012, she holds a PhD in Applied Statistics from the University of Leeds, an MSc in Forensic Computing and Security, and a BSc (Hons) in Statistics. She also earned a PgCert in Learning and Teaching in Higher Education and achieved Senior Fellowship status in July 2019. Her research spans multiple areas of cybersecurity with particular expertise in digital forensics, mobile forensics, intrusion detection, and data mining applications in security contexts. She leverages her background in applied statistics to enhance network security methodologies and has published extensively on topics including memory forensics, IoT device investigations, drone forensics, and metaverse-related forensic challenges. Her work demonstrates a consistent focus on practical forensic methodologies and security enhancement techniques across evolving technological landscapes. Dr. Zargari's recent publications reveal a strong trend toward addressing emerging forensic challenges in new technologies, with increasing focus on IoT devices, robotics, drones, and the metaverse. Her research combines statistical analysis with practical forensic applications, showing particular strength in developing novel methodologies for evidence collection and analysis across diverse platforms. She has established herself as a leading researcher in mobile forensics and continues to expand her expertise into newer technological domains. As an active educator, Dr. Zargari teaches across multiple programs including BSc Cyber Security, BSc Cyber Security with Forensics, and MSc Cyber Security. She serves as associate editor for the Information Security Journal: A Global Perspective at Taylor & Francis and is an active researcher within CENTRIC. Her supervision includes PhD and MSc students, with documented supervision of O. Ajao's 2019 doctoral thesis on "Content-aware Location Inference and Misinformation in Online Social Networks." Dr. Zargari actively promotes collaboration among government, industry, and academia within the cyber security sector, focusing on initiatives to bridge the skills gap in this critical field. She has presented at numerous international conferences and workshops, including the Annual Teaching Computer Forensics Workshop series and the British Computer Society events. Her work with the Industry and Innovation Research Institute demonstrates her commitment to translating academic research into practical industry applications.

• Digital Forensics
• Mobile Forensics
• Intrusion Detection
• +۹ مورد دیگر

Vishnu Monn is an Associate Professor at Monash University Malaysia's School of IT, serving as Deputy Head of Education and Director of the Advanced Computing Platform. He holds a PhD in Engineering from Multimedia University (2016) and has over 15 years of academic and industry experience, including roles at Panasonic R&D Centre Malaysia (2005–2009) and Multimedia University (2009–2017). His research focuses on high-performance computing, predictive analytics, machine learning, computer vision, and soft robotics, with over MYR 1 million in secured grants as principal investigator. Education: B.Eng. (First-Class Honours) in Electrical and Electronics Engineering (2004) M.Eng. in Electrical and Electronics Engineering (2007) Ph.D. in Engineering (2016) Research interests include: High-performance computing architectures and applications Predictive analytics for industrial and environmental systems Machine learning models for computer vision tasks Soft robotics control systems Recent projects span autonomous driving algorithms, IoT-enabled smart cities, and soft robotics using reinforcement learning. He has published 61+ peer-reviewed articles in top journals and conferences, with recent work emphasizing multimodal learning, generative models, and blockchain optimization. Scientific contributions include leadership in interdisciplinary research, securing major grants, and establishing Monash Malaysia's high-performance computing facility. Teaching commitments include courses on big data, parallel computing, and embedded systems, with roles as chief examiner and program coordinator.

• High-performance computing
• Predictive analytics
• Machine learning & Artificial Intelligence
• +۷ مورد دیگر

Marc Aymes is a Researcher and Director of Studies at the École des hautes études en sciences sociales (EHESS), affiliated with the Centre for Turkish, Ottoman, Balkan and Central Asian Studies (CETOBaC). He holds a research director position at the CNRS and has conducted extensive work in France, Germany, Cyprus, the U.S., Greece, and Turkey. His scholarly focus spans Ottoman Empire studies, philology, cultural transfers, and digital humanities in the Mediterranean. Research Interests: Aymes specializes in Ottoman history (18th–21st centuries), with emphasis on philology, social sciences, and the interplay between imperial studies and local governance. His work examines archival practices, language reforms, and the sociological dimensions of Ottoman administration, particularly in provinces like Cyprus. Recent Publications: His 2025 monograph Ottoman Fake investigates forgery and bureaucratic practices across three centuries. Earlier works include analyses of Ottoman legal language, urbanity in Cyprus, and comparative studies on imperial governance. Articles span topics like Ottoman modernity, postcolonial theory, and the historiography of administrative reforms. Academic Leadership: Aymes co-edits Archiv Orientalni and contributes to editorial boards of journals such as Cahiers du monde russe . He has supervised numerous MA and PhD theses on themes like political activism in Turkey, Ottoman archival practices, and cultural identity in post-genocide Turkey.

• Ottoman Empire
• Philology
• Imperial Studies
• +۷ مورد دیگر

Aythami Morales is a Professor at Universidad Autónoma de Madrid (UAM), supported by the Madrid Government under the V PRICIT program for Excellence in University Teaching Staff. His work bridges machine learning with real-world applications in auditable AI tools, security, privacy, and discrimination-aware learning . Key Research Themes: Biometrics, multimodal AI, fairness in machine learning, dietary assessment, and attention mechanisms Recent Projects: M2RAI (Multimodal and Multitask Responsible AI, 250K euros + PhD funding) and eMIRIAM (Risk Assessment in AI for Mental Health) His 15 most recent articles (2025) focus on AI auditability, biometric verification, and privacy-preserving techniques , spanning conferences like IEEE/IJCB, ICCV, and CVPR. He received the 2024 Stanford Top 2% Scientists in AI recognition and a Best Paper Award at CVPR 2025 . Morales actively engages in societal outreach through media (El País Retina) and public events like Pint of Science, addressing ethical AI and bias.

• Machine Learning
• Artificial Intelligence
• Biometrics
• +۶ مورد دیگر

Professor Nicoletta Momigliano holds the position of Professor of Aegean Studies in the Department of Classics & Ancient History at the University of Bristol. She specializes in Aegean Bronze Age archaeology, particularly Minoan Crete, with research spanning fieldwork, artifact analysis, and the reception of Minoan culture in modern contexts. Her work includes directing excavations in Crete and Turkey, advising museum exhibitions like *La Grèce des origines* in Paris (2014-2015), and leading projects such as *The Many Lives of a Snake Goddess*. Education: Laurea (University of Pisa), MA (University of London), PhD (University of London). Research focuses on Knossos excavations, Minoan-Cretan-Anatolian cultural exchanges, and the historiography of Aegean archaeology. Recent projects include studying the 'snake goddess' figurines and publishing legacy materials from Knossos' Royal Road area. She has received teaching awards for her supervision and is a Fellow of the Society of Antiquaries (FSA). Her publications explore themes like modern reinterpretations of the Aegean Bronze Age, Minoan fakes, and cultural legacy. She actively collaborates internationally, with projects in Germany, Turkey, and Greece.

• Aegean Bronze Age Archaeology
• Minoan Crete
• Archaeological Fieldwork
• +۴ مورد دیگر

Ralph Dekoninck is a full-time Professor at the Université catholique de Louvain (UCLouvain) and Chair of the Department of Art History, Archeology and Musicology (2014–present). He co-founded the Centre for Early Modern Cultural Analysis (GEMCA) in 2006 and has held leadership roles in multiple academic institutions, including the Institute of Civilizations, Arts and Letters (2011–2012). His work bridges iconology, early-modern art theory, and Jesuit spirituality, with a focus on Antwerp engraving and Baroque festival culture. Key Research Themes: Iconology, image anthropology, Counter-Reformation visual culture, Jesuit contributions to art theory, and Baroque spectacle. Academic Leadership: Served on scientific committees for ERC grants, AERES evaluations, and the Royal Museums of Fine Arts of Belgium. Publications: Explored topics such as the role of religious images in polemics, meditative art in Northern Europe, and the interplay between sacred rites and aesthetics. His research has attracted significant funding, including grants from the Belgian Science Policy Office and the National Funds for Scientific Research (F.R.S.-FNRS). He has mentored 5 completed and 5 ongoing PhDs, all funded by major research bodies. Scientific Awards: Member of the Académie Royale de Belgique (2015) Member of the Académie Royale d’Archéologie de Belgique (2015) Honorary Chair at UCLouvain (2012) Prize Jacques Lavalleye-Coppens (2006) Frances Yates Fellowship (2000)

• Iconology
• Image Anthropology
• Early-Modern Art Theory and Image Theology
• +۳ مورد دیگر

Xiaoming Liu is a Professor at Michigan State University with extensive contributions to computer vision and biometrics. His research spans face recognition, 3D reconstruction, image forgery detection, and adversarial machine learning, with over 300 publications from 1999 to 2025. His primary research interests include Computer Vision , Biometrics , and Adversarial Machine Learning . Liu's work focuses on developing robust systems for face recognition at scale, detecting image manipulations, and creating 3D reconstruction techniques. Recent projects include SapiensID for human recognition, FRCSyn for synthetic face recognition, and proactive watermarking schemes. Liu's publication trends show increasing focus on multi-modal biometrics (combining face, body, and gait), image forgery detection using hierarchical approaches, and adversarial defense mechanisms . His 2023-2025 work emphasizes synthetic data applications and physics-driven recognition systems. Liu has mentored numerous students including Feng Liu, Minchul Kim, and Xiao Guo, who frequently co-author his papers. His research has been supported by grants enabling projects like FarSight (long-range biometrics) and ProMark (proactive watermarking). He leads research in biometrics security and computer vision, with recent work focusing on ethical AI applications and robust recognition systems. His team develops tools for detecting deepfakes and improving recognition in challenging conditions.

• Computer Vision
• Biometrics
• Face Recognition
• +۳ مورد دیگر

Han Chen is an active academic researcher in the fields of artificial intelligence, machine learning, computer vision, and biomedical informatics, with extensive publications in top-tier venues such as CVPR, ICLR, IEEE Transactions, and Bioinformatics. The research spans diverse applications including medical image analysis, deepfake detection, federated learning, and multimodal affective computing. The research interests of Han Chen include artificial intelligence, machine learning, computer vision, medical image analysis, graph neural networks, and cybersecurity. The work emphasizes deep learning architectures, multimodal fusion, and robustness in AI systems, particularly in healthcare and security applications. Key themes include disentangled representation learning, contrastive learning, and transformer-based models. The recent articles demonstrate a strong trend toward multimodal AI, with applications in medical diagnostics (e.g., mammography, nasopharyngeal imaging), trustworthy AI (e.g., deepfake detection, backdoor defense), and efficient learning paradigms (e.g., federated learning, weak supervision). There is a consistent focus on enhancing model interpretability, robustness, and real-world applicability across domains. Scientific Awards: No awards explicitly mentioned in the provided text. Advising and Grants: There is no explicit information about students or advising. However, the high volume of collaborative research suggests active involvement in research teams and likely supervision of graduate students. Funding sources are not mentioned, but the scope of work implies support from national or institutional research grants in AI and health informatics. Labs and Teams: While no specific lab or team is named, the collaborative nature of the work—especially with researchers in medical imaging and federated learning—suggests membership in a multidisciplinary AI research group, possibly affiliated with a medical school or engineering institute.

• Artificial Intelligence
• Machine Learning
• Computer Vision
• +۹ مورد دیگر

Kalin Stefanov is an ARC DECRA Fellow and Research Fellow in the Department of Human Centred Computing at Monash University. He holds a PhD in Computer Science from KTH Royal Institute of Technology and an MSc in Artificial Intelligence from the University of Amsterdam. His research focuses on Affective Computing, exploring systems that recognize and simulate human affects, with applications in social robotics, neurodiverse communication, and multimodal interaction. He has led projects on sign language translation and large-scale deepfake detection datasets. Key collaborations include work at the University of Southern California’s Institute for Creative Technologies and National Institute of Informatics. He has received accolades such as the Discovery Early Career Researcher Award (2023) and Best Paper Awards (2019, 2024). His research also contributes to UN SDG 4 (Quality Education) through accessible technologies for neurodiverse groups and visually impaired learners. Projects include the 'Active Generation of fingerspelling in Australian Sign Language' and 'Research Towards automated Australian Sign Language translation,' funded by the Australian Research Council. Stefanov’s work spans AI ethics, multimodal data platforms (e.g., OpenSense), and systems for social signal processing in human-robot interaction.

• Affective Computing
• Artificial Intelligence
• Accessible Computing
• +۵ مورد دیگر

Michał Woźniak is a Professor at the Department of Systems and Computer Networks, Wrocław University of Science and Technology. He serves as Head of the Department and leads the Machine Learning Research Team. His research spans machine learning, pattern recognition, data stream mining, and imbalanced data classification. He actively supervises MSc theses and leads multiple research projects including those on continual learning, classifier ensembles, and fake news detection. Research Interests: Machine learning, particularly inductive and continual learning Pattern recognition and classifier ensembles Data stream mining under concept drift Imbalanced data classification Fake news and disinformation detection Cybersecurity and medical decision support His recent publications (2024–2025) focus on continual learning under concept drift, deep learning for image fusion and forgery detection, ensemble methods for imbalanced data, and AI applications in network optimization. These works reflect strong trends in adaptive machine learning, robust classification, and real-world AI deployment. Scientific Awards: BEST PAPER AWARD FOR CLVISION CVPR WORKSHOP 2024 He supervises numerous students and collaborates extensively on interdisciplinary projects. He has been involved in projects such as LM LDS (2021–2024), MOO (2020–2025), IDStream (2018–2022), and others. He is also a project manager and active in academic service, including membership in the Committee on Informatics of the Polish Academy of Sciences. His research group maintains a strong presence in AI and machine learning applications. Laboratory and Teams: He leads the Machine Learning Team and is involved in multiple research groups including the Advanced Data Analysis Methods Team and Metaheuristics Team . His lab focuses on developing robust, adaptive AI models for real-world challenges.

• machine learning
• pattern recognition
• classifier ensemble
• +۱۲ مورد دیگر

Dr. Kadoi Yuka is a Research Fellow at the University of Vienna, Faculty of Historical and Cultural Studies, Department of Art History, where she currently leads the FWF-funded project 'Persica Centropa: Cosmopolitan Artefacts and Artifices in the Age of Crises, 1900-1950' (2023-2027). Her academic journey includes prestigious positions such as Senior Core Fellow at the Institute for Advanced Study / Central European University (Budapest, 2022-2023) and leader of the earlier FWF project 'Persian Art in Vienna, 1900-1945' (2019-2022). Prior to her current position, she served as a guest professor at the Lebanese American University (2015-2016) and held research and teaching positions at the University of Edinburgh (2012-2015). Her extensive museum experience includes curatorships at the Art Institute of Chicago (2008-2011) and the Museum for Islamic Art in Doha (2007-2008). Dr. Kadoi's research focuses on the cross-cultural artistic relationships in Islamic Eurasia, particularly during the Mongol period, with special attention to Persian art in the eastern periphery of the Muslim world. Her work explores portability and materiality in Islamic Eurasian arts, revivalism of Islamic art in modern contexts, and the historiography of Persian art in the early 20th century. She also investigates curatorial practices, exhibition history, and the development of Islamic and Asian archaeological collections, with particular focus on provenance, connoisseurship, and the politics of display. Her publication record demonstrates consistent scholarly output across multiple prestigious venues, with recent work examining topics such as the historiography of Islamic art, Buddhist influences in Ilkhanid Iran, and the role of photography in shaping perceptions of Persian architecture. Her research shows a consistent pattern of examining cross-cultural connections, particularly between Persia and China, and the movement of artistic ideas and objects across Eurasia. Honourable Mention, Saidi-Sirjani Book Award 2008-9, International Society for Iranian Studies (2010) Visiting Senior Fellowship, Centre for Advanced Study in the Visual Arts (CASVA), National Gallery of Art, Washington DC (2015) Multiple research grants from the Iran Heritage Foundation, Barakat Trust, and other prestigious institutions Albin Salton Fellowship at the Warburg Institute, University of London (2007) Dr. Kadoi's academic supervision combines rigorous scholarly training with practical museum experience. Her current FWF project provides substantial research opportunities for graduate students interested in Persian art history, material culture studies, and the history of collecting. She has curated significant exhibitions including 'The Blue Road: Mastercrafts from Persia' at the Liang Yi Museum in Hong Kong and 'Arthur Pope and A New Survey of Persian Art' at the Art Institute of Chicago, demonstrating her ability to translate academic research into public-facing presentations of Islamic art.

• Cross-cultural artistic relationship in Islamic Eurasia
• Art, architecture and material culture under the Mongols
• Islamic art in the eastern periphery of the Muslim world
• +۱۰ مورد دیگر

Dr Shahana Bano is a Lecturer in the School of Computing, Engineering & Technology at Robert Gordon University, specializing in interdisciplinary applications of Artificial Intelligence. Her research spans biomedical imaging, environmental monitoring, infrastructure analytics, and socio-technical systems through the Machine Vision Research Group and Cybersecurity Research Group. Her educational background includes a PhD in Computer Science and Engineering, M.Tech in Computer Science and Engineering, MSc in Information Systems, and BCA - all completed full-time. Her research philosophy centers on convergence, bringing together diverse data types, technologies, and disciplines to create impactful, adaptive systems that bridge academic innovation with societal relevance. Dr Bano's research interests focus on Computer Vision, Image Analysis, Machine Learning, Data Analytics, Internet of Things, Text to Speech Systems, and Social Media Threat Intelligence. Her recent work demonstrates strong application of these interests to medical diagnostics (CAR-T cell classification), environmental monitoring (geothermal reservoir modeling), infrastructure analytics (pipeline defect detection), and social systems (hate detection in football communities). Her publication record shows consistent output with 32 research outputs from 2015-2025, demonstrating increasing focus on medical and environmental applications of AI in recent years. The work spans theoretical computer vision advancements to practical implementations addressing UN Sustainable Development Goals. Associate Fellow (AFHEA) 2023 from Advance HE Dr Bano actively supervises PhD students and mentors interns on diverse projects. Current PhD supervision includes research on morphological classification of CAR-T cell images for leukemia diagnosis and acoustic emission-based pipeline defect detection. She also guides students on projects involving AR-based navigation, NDVI vegetation mapping, hate detection in football communities, multimodal sensor fusion, and airport runway object detection. Her lab resources are supported through university research groups and collaborations focused on machine vision and cybersecurity applications.

• Computer Vision
• Image Analysis
• Machine Learning
• +۴ مورد دیگر