جستجوی استاد راهنمای دانشگاهی

• Artificial Intelligence
• Computer Vision
• Natural Language Processing
• +۴ مورد دیگر

Armin Kirchknopf serves as a Junior Researcher at the Media Computing Research Group within the Institute of Creative Media/Technologies, Department of Media and Digital Technologies at the University of Applied Sciences St. Pölten. His interdisciplinary work bridges artificial intelligence, computer vision, and social media analysis, with significant contributions to misinformation detection and disaster response systems. Based at Campus-Platz 1 in St. Pölten, Austria, he actively collaborates on EU-funded projects and publishes in top-tier AI venues. His educational journey spans humanities and technology: a Bachelor of Arts in Egyptology and Master of Arts in Classical Archaeology from the University of Vienna (including fieldwork at excavation sites across Austria, Germany, and Egypt), followed by a Bachelor of Science in Media Technology from FH St. Pölten. This unique background informs his human-centered AI research approach. Kirchknopf's research centers on explainable multimodal AI systems for real-world challenges. His recent work demonstrates expertise in transformer-based architectures for cross-lingual fake news detection, sexism identification, and flood monitoring through social media imagery. He pioneers techniques like Grad-CAM for object detection explainability and develops visualization tools for complex data interpretation, emphasizing transparency and social impact in AI deployment. Analysis of his 13 publications (2017-2022) reveals a strategic shift toward applied AI in societal contexts , particularly using social media data for disaster management and combating online toxicity. His projects consistently integrate computer vision with natural language processing, showing increasing sophistication in multilingual capabilities and model interpretability frameworks. His scientific recognition includes: Creative Business Award for co-developing the Tenjin learning quiz application No documented student advisement or grant leadership appears in current records, though he actively mentors through project-based collaborations. His work with the Media Computing Research Group drives innovation in educational technology and public safety applications. Kirchknopf contributes to the Media Computing Research Group's portfolio including Fake News Detection, SAiEX (Safe AI with explainable integrity), InfraBase (building footprint segmentation), and Ressel Center music therapy projects. His cross-disciplinary collaborations span computer scientists, archaeologists, and social scientists, reflecting the group's commitment to human-centric technological solutions .

Daniel Valleroمشاهده پروفایل

استاد مدعو

• Environmental Engineering
• Air Pollution
• Climate Change
• +۵ مورد دیگر

Daniel Vallero is an Adjunct Professor in the Department of Civil and Environmental Engineering at Duke University . He holds a Ph.D. from Duke (2000) , an M.S. from the University of Kansas (1996) , and a B.A. from Southern Illinois University (1974) . His career spans environmental engineering, exposure assessment, and climate change adaptation, with affiliations including North Carolina Central University (2012-2013) as Associate Professor. Education B.A., Southern Illinois University, 1974 M.S., University of Kansas, 1996 Ph.D., Duke University, 2000 Key Research Areas Environmental systems science Air pollution modeling and control Hazardous waste bioremediation Climate change governance Exposure-based chemical prioritization Biogeochemical cycling under climate stress Publication Trends Focus on PFAS exposure pathways , climate adaptation strategies , and pollutant fate in ecosystems Recent work includes high-throughput exposure models and environmental justice in global warming Scientific Awards Federal Honor Awards (2025) from the U.S. EPA Jeffrey B. Taub Award (1999) at Duke University Notable Contributions Authored Air Pollution Calculations and Environmental Systems Science Developed exposure prioritization tools like Ex Priori Post-9/11 environmental contamination studies in New York City

Robert J Brunnerمشاهده پروفایل

استاد

• Data Science
• Machine Learning
• Statistical Analysis
• +۳ مورد دیگر

Robert J. Brunner is a Professor at the University of Illinois with primary appointments in the Gies College of Business (Department of Accountancy) and the School of Information Sciences. He holds affiliate roles across multiple departments including Astronomy, Computer Science, and Statistics, as well as research centers like the Beckman Institute and NCSA. His research focuses on applying statistical/machine learning to solve complex problems in astronomy, finance, and large-scale data science. Education: Ph.D. in Astrophysics from Johns Hopkins University (advisor: Alex Szalay). Postdoctoral work at Caltech on the Digital Sky project. Research Interests: Machine learning applications, computational techniques, data management/visualization, and observational cosmology. His work bridges astrophysical data analysis with modern data science methodologies. Recent work includes developing spatio-temporal neural networks for forecasting, evaluating AI-driven financial analysis tools, and planning for the Vera C. Rubin Observatory. He collaborates internationally on large-scale surveys like the Dark Energy Survey and SDSS. Labs/Teams: Leads data science initiatives at the University of Illinois Research Park. Active in interdisciplinary teams at NCSA and Beckman Institute focusing on algorithm optimization and data-intensive research.

Sharad Mehrotraمشاهده پروفایل

استاد

• Data Management
• Distributed Systems
• Database as a Service
• +۷ مورد دیگر

Sharad Mehrotra is a Distinguished Professor at the University of California, Irvine (UCI), leading the Center for Emergency Response Technologies (CERT) and directing the NSF-funded RESCUE project. He previously served at the University of Illinois, Urbana-Champaign, and holds a Ph.D. from the University of Texas at Austin (1993). His research focuses on data management, IoT systems, privacy-preserving technologies, and smart spaces, with contributions to frameworks like TIPPERS and MARS. Education: Ph.D., Computer Science, University of Texas at Austin, 1993 Research Interests: His work bridges database systems, security, and IoT, emphasizing privacy in smart environments. Notable projects include sentient space technologies for disaster response, cryptographic methods for encrypted data queries, and semantic IoT integration. Recent efforts address privacy in multi-owner data systems and resilient community water infrastructure. Awards & Recognition: ACM Fellow (2024) SIGMOD Best Paper (2001), DASFAA Best Paper (2004) NAVWAR Innovation Award (2021) Outstanding Graduate Mentor (2005) Grants & Leadership: As RESCUE PI, he managed $12.5M NSF funding, developing crisis-response software deployed by emergency agencies. Collaborations include the Cal-IT2 institute (UCSD/UCI) and the US Navy’s TIPPERS platform. He co-leads initiatives like the NSF Civic Innovation Challenge for disaster resilience in aging communities. Labs & Teams: Directs UCI’s Information Systems Group and CERT, fostering interdisciplinary research with 60+ members. His teams produce open-source tools (e.g., SEMIoTIC, PrivacySphere) and engage in global partnerships via Fulbright Visiting Scholar programs.

• Human Activity Recognition
• Wearable Sensors
• Machine Learning
• +۴ مورد دیگر

Thomas Ploetz is an Adjunct Professor in the School of Electrical and Computer Engineering at Georgia Institute of Technology. His work focuses on sensor-based human activity recognition, wearable computing, and computational behavior analysis with applications in healthcare, smart homes, and education. He leads interdisciplinary research integrating machine learning, IoT systems, and human-centered design. His research interests include improving activity recognition robustness through synthetic data generation, developing explainable AI for time-series analysis, and advancing healthcare technologies like diabetic foot ulcer monitoring systems. He explores ethical implications of wearable sensing in diverse populations, including underrepresented groups. Key contributions include IMUTube (virtual sensor data generation), ProxiCycle (cyclist safety monitoring), and DISCOVER (smart home activity recognition framework). His work addresses challenges in data scarcity, domain adaptation, and long-term system maintenance in pervasive computing environments. He has been awarded grants such as the GVU/IPaT Research and Engagement Grant (2020), and his research appears in top venues like UbiComp and ISWC. He actively contributes to the wearable computing community through conference organization and editorial work.

Chris Thomasمشاهده پروفایل

استادیار

• Computer Vision
• Cross-modal Retrieval
• Multimodal Knowledge Representation
• +۳ مورد دیگر

Chris Thomas is an Assistant Professor in the Department of Computer Science at Virginia Tech’s College of Engineering. His research focuses on computer vision, cross-modal retrieval, and multimodal knowledge representation, with applications in information extraction, fake news detection, and AI safety. He leads the Sanghani Center for Artificial Intelligence and Data Analytics and has received grants from the Commonwealth Cyber Initiative and a Google Research Scholar award. Education: Ph.D. (2020) and B.S. (2013) in Computer Science, University of Pittsburgh. Research Interests: Developing robust cross-modal systems that bridge vision and language. Key areas include fine-grained visual entailment, multimodal inconsistency detection, and defending AI models against adversarial attacks. His work emphasizes practical applications like fact-checking and cybersecurity. Recent Contributions: Led the development of JourneyBench (a vision-language benchmark) and the Semantic Shield defense framework. Recent grants include cybersecurity for embodied agents and safer multimodal web agents. Awards: Google Research Scholar Award (2025), multiple Commonwealth Cyber Initiative grants (2024–2025). Advising & Grants: Advises students like Hani Alomari (ACL 2025) and collaborates with institutions like Columbia University and UCLA. His work integrates multimodal data to address real-world challenges in AI safety and information integrity. Labs/Teams: Active in Virginia Tech’s AI initiatives, focusing on interdisciplinary research at the intersection of vision, language, and security.

Katherine Rogersمشاهده پروفایل

مدرس ارشد

• Bioscience Education
• Molecular Oncology
• Pharmacology
• +۳ مورد دیگر

Dr. Katherine Rogers is a Senior Lecturer in the School of Nursing and Midwifery at Queen’s University Belfast. Her research focuses on bioscience education for healthcare professions and cancer-related projects, with a particular emphasis on pharmacology and epidemiology. She holds a PhD and has authored/edited over 10 textbooks and numerous peer-reviewed articles. Notable awards include the Rising Star Teaching Award (2011) and Senior Fellow of the Higher Education Academy (2021). Dr. Rogers supervises PhD students in healthcare education and oncology, with current projects exploring disaster management education and enquiry-based learning in midwifery. Her pedagogical work emphasizes student engagement through innovative methods like podcasts, digital games, and interprofessional physiology events. She co-designed a pancreatic cancer awareness game and led the Physiology Health Check initiative. Professional activities include academic promotions mentoring and involvement in the Queen’s Communities and Place (QCAP) STEAM Summer Scheme. Dr. Rogers has mentored several successful students, including Fatmah Kreedi (Kuwaiti nurse education) and Anita Byrne (midwifery curriculum innovation). Her lab collaborations span pancreatic cancer awareness and clinical competency evaluation. She is actively involved in the Chronic Illness and Palliative Care Research Initiative and open to PhD applicants in bioscience education or cancer-focused research.

Indratmoمشاهده پروفایل

دانشیار

• Information Visualization
• Human-Computer Interaction
• Social Computing
• +۳ مورد دیگر

Dr. Indratmo is an Associate Professor and Chair of the Department of Computer Science at MacEwan University. He holds a PhD from the University of Saskatchewan, an M.Sc. from the University of Manitoba, and a B.Eng. from Petra Christian University. His research focuses on information visualization, human-computer interaction, and social computing, with a particular emphasis on developing tools for analyzing social media data. He has contributed to projects like a visual analytical tool for sentiment analysis in Edmonton's traffic-related social media data and studies on multimedia content effectiveness in communication strategies. Indratmo teaches a range of computer science courses, emphasizing student engagement through transparent pedagogical practices. His work bridges technical innovation with social impact, aiming to enhance communication strategies for organizations through data-driven insights. He has published extensively in journals like Big Data Research and Visual Informatics , and his research spans topics from educational visualization tools to smart mirror applications and geospatial heritage systems. Outside academia, he enjoys outdoor activities in the Canadian Rockies. Notable collaborations include work on stacked bar chart efficacy, web-based course registration models, and exploratory browsing frameworks. His research portfolio demonstrates a commitment to both theoretical advancement and practical applications in computing.

Federico Becattiniمشاهده پروفایل

استادیار

• Computer Vision
• Deep Learning
• Artificial Intelligence
• +۷ مورد دیگر

Federico Becattini is a Tenure-Track Assistant Professor at the Department of Information Engineering and Mathematics (DIISM), University of Siena, Italy. He is an active member of the Siena Artificial Intelligence Lab (SAILab), where he contributes to cutting-edge research in computer vision, deep learning, and artificial intelligence. His work spans multiple interdisciplinary domains, including autonomous driving, human behavior understanding, cultural heritage, neuromorphic vision, and fashion recommendation. His research interests center on memory-based neural networks , which he has applied in numerous publications at top-tier venues such as CVPR, ECCV, IEEE TPAMI, and ACM TOMM. He has also delivered tutorials on this topic at international conferences including ICIAP 2022 and ACM MM 2022, and taught a Ph.D. course at the University of Florence. His recent work is aligned with the Collectionless AI paradigm, which emphasizes continual learning and interaction with dynamic environments. The recent publications highlight a strong trend in human-centric AI , focusing on understanding people through multimodal analysis of face, body, and clothing, as well as generating 3D virtual avatars. There is also a clear emphasis on memory-augmented architectures for temporal reasoning, explainability, and adaptive learning. His editorial role as Associate Editor of the International Journal of Multimedia Information Retrieval further underscores his standing in the research community. Associate Editor, International Journal of Multimedia Information Retrieval (IJMIR) Organizer, Workshop on Facial and Body Expressions (ICPR2020) Co-organizer, T-CAP Workshop (ICIAP2021, ICPR2022) Co-organizer, MCFR Workshop (ACM MM 2022) Co-organizer, WCPA Workshop and Challenge (ECCV 2022) Federico Becattini actively advises students and researchers within SAILab, particularly in the context of Ph.D. theses and research projects related to Collectionless AI and memory-based models. While specific grants are not mentioned, his extensive publication record and leadership in workshops and editorial roles suggest involvement in funded research initiatives. He collaborates with both academic and international research communities, serving as a reviewer for top-tier conferences and journals. He is a core member of the SAILab research group, which is pioneering the Collectionless AI initiative—a framework for continual learning over time, interacting with humans and agents without relying on pre-built static datasets. This lab serves as a hub for innovation in adaptive and sustainable AI systems.

Farah Kamwمشاهده پروفایل

استادیار

• Information Visualization
• Visual Analytics
• Spatial-Temporal Data Analysis
• +۴ مورد دیگر

Farah Kamw is an Assistant Professor in the Department of Computer Science at Wayne State University. With a PhD in Computer Science (2019) from Kent State University, her expertise spans 18 years of software development, academic teaching, and research in information visualization and database management. Education : PhD (Kent State), MSc (University of Zakho), BSc (University of Baghdad) Her research focuses on Information Visualization and Visual Analytics of spatial-temporal data, particularly through 8 publications (2013-2021) addressing urban mobility patterns, trajectory analysis, and geospatial data integration. She has developed several open-source visual analytics tools including TrajAnalytics and SparseTrajAnalytics, applying both document and graph database techniques. Farah teaches core Computer Science courses such as Algorithm Design , Programming Languages , and Database Systems . Her technical skills include Python, C++, Java, SQL, NoSQL databases, and GIS technologies.

• Computer Vision
• Scene Understanding
• 3D/4D Vision
• +۷ مورد دیگر

Dr. Armin Mustafa is an Associate Professor in Computer Vision and AI at the University of Surrey, where he holds a prestigious Royal Academy of Engineering Research Fellow position. He is affiliated with the Centre for Vision, Speech and Signal Processing (CVSSP), the School of Computer Science and Electronic Engineering, and the Surrey Institute for People-Centred Artificial Intelligence (PAI). His research focuses on developing AI systems for visual understanding of complex dynamic scenes, with applications in entertainment, autonomous systems, and augmented/virtual reality. Dr. Mustafa completed his PhD in general dynamic scene reconstruction from multi-view videos in 2016 from the University of Surrey under the supervision of Prof. Adrian Hilton. Prior to his doctoral studies, he worked for three years (2010-2013) at Samsung Research Institute in Bangalore, India, in the field of Computer Vision. His research expertise spans Computer Vision, Scene Understanding, 3D/4D Vision, Virtual Reality, Light Fields, Machine Learning, Video Captioning, Augmented Reality, Artificial Intelligence, and Audio-visual Video Understanding. Dr. Mustafa has pioneered advances in 4D vision, NLP, and Scene Understanding over the past decade, with a particular focus on enabling machines to model and interpret real-world environments for socially beneficial applications. His work bridges theoretical advances in computer vision with practical applications in media production, virtual reality, and autonomous systems. Analysis of Dr. Mustafa's recent publications reveals a strong focus on multimodal learning, particularly the integration of audio and visual information for scene understanding. His work spans diverse areas including shadow detection and removal, audio event classification, video captioning, person image generation, and dynamic scene reconstruction. A notable trend is his exploration of transformer architectures for both vision and audio tasks, as well as the application of self-supervised learning techniques to reduce dependency on labeled data. Dr. Mustafa has received numerous prestigious awards: 2018 - Research Fellowship, The Royal Academy of Engineering, UK 2017 - Young Researcher award, CVPR 2016 - Doctoral Consortium grant, CVPR 2015 - BMVA travel grant for ICCV 2014 - Set-Squared Research to Innovator grant 2013 - Overseas Research Scholarship, FEPS, The University of Surrey 2010 - Cadence Silver Medal, Indian Institute of Technology, Kanpur As a dedicated mentor, Dr. Mustafa supervises several PhD students working on cutting-edge topics including multi-person reconstruction, audio-visual scene understanding, and automatic storyboard generation. His research is supported by significant grants including a £15 million UKRI Prosperity Partnership with the BBC (AI4ME), a 5-year Royal Academy of Engineering fellowship (4D Vision for Perceptive Machines), and multiple projects with industry partners such as Figment Productions and Foundry. Dr. Mustafa is an active member of the Centre for Vision, Speech and Signal Processing (CVSSP), one of the world's leading research centers in vision, speech, and signal processing. He also contributes to the Surrey Institute for People-Centred Artificial Intelligence (PAI), where he serves as a Surrey AI Fellow. His work often involves collaboration with industry partners and other academic institutions across Europe.

• Cybersecurity
• Data Encryption
• Access Control Systems
• +۳ مورد دیگر

Willem Jonker is a Full Professor at the Digital Society Institute, specializing in Semantics, Cybersecurity & Services. His research focuses on encryption schemes, access control, and privacy-preserving technologies. He has contributed to over 120 publications, with recent work addressing CVE-to-CWE mapping, anomaly detection in network traffic, and functional encryption systems. His expertise aligns with UN Sustainable Development Goals related to secure digital systems and privacy. Jonker has supervised 10 students and actively participates in academic conferences, presenting on topics like secure data management and cryptographic protocols. Research interests include cryptographic protocols, secure data management, and cybersecurity solutions. Notable projects involve developing methods for detecting covert channels, enhancing data privacy in healthcare, and improving secure search over encrypted data. He has also contributed to standards in digital rights management and forensic image recognition.

Xu Dongمشاهده پروفایل

استاد

• Artificial Intelligence
• Computer Vision
• Multimedia
• +۳ مورد دیگر

Professor Dong Xu is a Tenured Professor in the Department of Computer Science at the University of Hong Kong (HKU), part of the School of Computing and Data Science. He holds a B.Eng. and Ph.D. from the University of Science and Technology of China (USTC). His career includes tenured roles at Nanyang Technological University and the University of Sydney, alongside postdoctoral research at Columbia University. His research focuses on Artificial Intelligence, Computer Vision, Multimedia, and Machine Learning , with applications in autonomous driving, AR/VR, medical image analysis, and video surveillance. Xu has authored over 150 papers in top journals and conferences, including CVPR, ICCV, and IEEE Transactions. He actively contributes to the academic community as an editorial board member for journals like ACM Computing Surveys and IEEE Transactions, and through leadership roles in conferences such as ACM Multimedia and ICME. Notable awards include Fellowships from IEEE and IAPR, and the IEEE Signal Processing Society Distinguished Lecturer title (2021–2022). Education: B.Eng. (USTC, 2001), Ph.D. (USTC, 2005) Professional Service: Program Coordinator of ACM Multimedia 2024, Guest Editor of over ten special issues.

David Millardمشاهده پروفایل

استاد

• Hypertext Systems
• Interactive Digital Narratives
• Mixed Reality Games
• +۳ مورد دیگر

Professor David Millard is a Professor of Computer Science at the University of Southampton's Electronics and Computer Science department. He serves as Head of the ECS Education Group, leading a team of 15 Teaching Fellows and Senior Fellows to improve teaching and learning across the department. Previously, he was Director of Admissions for ECS from 2012 to 2022. David is a founding member of the Web and Internet Science research group and has been active in the international hypermedia community for over twenty-five years. His professional affiliations include: Chair of the ACM Hypertext steering committee SIGWEB Liaison for ACM Web Science Former vice-chair of ACM SIGWEB (2015-2019) Editorial board member of the New Review of Hypermedia David Millard's research focuses on the intersection of hypertext, digital narratives, and mixed reality games, with particular emphasis on locative literature. His work has helped define 'Sculptural Hypertext' - hypertext governed by rules and constraints rather than navigational links - which is highly suitable for designing narrative structures within digital games. He has been a pioneer in locative narratives, interactive digital narrative games experienced on location-aware smart devices, with work dating back to 2002 at Chawton House. His recent research focuses on understanding the locative narrative design space and proposing the 'Balance of Attention' as the primary poetic of locative narrative. His research has been recognized with multiple awards including the Engelbart Award in 2013 and 2016 for his work on location-based storytelling and sculptural hypertext. His interdisciplinary StoryPlaces project explores the poetics of location-based narratives through digital storytelling deployments in Southampton, Bournemouth, and Crystal Palace. David has authored more than 230 peer-reviewed articles across Technology Enhanced Learning, Web Science, and Hypertext and Narrative, with over 4800 citations and an h-index of 35. His work has been published in prestigious journals including Springer Multimedia Tools and Applications, Elsevier Computers in Education, IEEE Intelligent Systems, PloS one, ACM Transactions on Information Systems, and ACM Transactions on Learning Technologies. He leads a team of PhD students focused on Interactive Narratives and Mixed Reality Spaces and has graduated 34 postgraduate students. His students have pursued careers in academia at institutions like Oxford, Winchester, Bournemouth, and East Anglia, as well as in industry at major technology firms including IBM and Google. David has been instrumental in Open Educational Resources development, creating EdShare in 2010 - an OER platform based on EPrints that now hosts over 20,000 learning items. He has also developed innovative teaching approaches, including modules on Multimedia Systems (which won the Vice-Chancellor's Teaching award), Programming 1, Social Media and Network Science, and Games Design and Development.

Jeff Bardaمشاهده پروفایل

مدرس ارشد

• Poetics
• Contemporary French Poetry
• Sound Arts
• +۶ مورد دیگر

Jeff Barda serves as Senior Lecturer in French Cultural Studies at the University of Manchester, joining in 2020 after a Junior Research Fellowship at Cambridge's Murray Edwards College. Awarded the Manchester Humanities Outstanding Teaching Award in 2020 and promoted to Senior Lecturer in 2023, he maintains active international affiliations including visiting positions at Bordeaux-Montaigne University and London's Institute of Languages, Cultures & Societies in 2024. His research centers on contemporary French poetic practice with emphasis on digital poetics, sound arts, and avant-garde traditions. Key interests include the intersection of media and literature, lettrism, and data-driven creative processes, reflected in his extensive publications on figures like Pierre Alferi and Christophe Tarkos. His second monograph Data Poetics: Contemporary French Poetic Practice in the Age of Digital Overload is under contract with Liverpool University Press. Dr Barda's scholarly impact is evidenced by the 2021 Literary Encyclopedia Book Prize for his first monograph Experimentation and the Lyric in Contemporary French Poetry . His recent publications demonstrate evolving focus from historical avant-gardes to contemporary digital poetics, with increasing attention to OSINT methodologies and cross-disciplinary practices like sports-literature intersections. Manchester Humanities Outstanding Teaching Award (2020) Literary Encyclopedia Book Prize (2021) As an active supervisor welcoming PhD inquiries, Dr Barda contributes to multiple research networks including Marge (Lyon), the European Neo-Avant-Garde Network (Ghent), and 'After Social Networks' (Paris). His teaching excellence complements substantial grant activity supporting international collaborations, particularly in digital humanities initiatives exploring poetic practice in public spheres. His research infrastructure includes affiliations with three major transnational networks examining contemporary creation, with recent projects focusing on image manipulation in poetry and OSINT applications in literary analysis.