جستجوی استاد راهنمای دانشگاهی

Rishubh Singhمشاهده پروفایل

پژوهشگر

• Machine Learning
• Deep Learning
• Neuroscience
• +۴ مورد دیگر

Rishubh Singh is a Doctoral Assistant at the Visual Intelligence and Learning Lab (VILAB) at École Polytechnique Fédérale de Lausanne (EPFL), pursuing his PhD in Computer and Communication Sciences under Prof. Amir Zamir's supervision. His dual status includes academic staff at the School of Computer and Communication Sciences and doctoral student in the EDIC program. His educational background includes: PhD in Computer and Communication Sciences (ongoing) at EPFL Dual Degree (B.Tech & M.Tech) in Computer Science and Engineering from Indian Institute of Technology Delhi (2019) Exchange program at KTH Royal Institute of Technology, Stockholm (2016) Singh's research bridges machine learning with neuroscience and psychology, focusing on bio-inspired deep learning for perception, reasoning, and computational design. He actively explores ML applications for assistive technologies addressing learning and communicative disorders, emphasizing inclusivity in AI systems. His publication record shows expertise in computer vision fundamentals, with recent work spanning single-pixel imaging, robust vision systems through adversarial augmentation, and neural architectures for language processing. These publications in top venues (CVPR, ECCV, ACL) demonstrate methodological innovation across multiple AI subfields. Professional collaborations include work with Dr. Pradeep Shenoy at Google Research India, Prof. Ravi Kiran Sarvadevabhatla (IIIT Hyderabad), Prof. Virginia De Sa (UC San Diego), and Dr. Mike Mozer (Google Research). His career progression shows: Doctoral Assistant at EPFL (2023-Present) Pre-Doctoral Researcher at Google Research India (2020-2023) Position at Graviton Research Capital LLP (2019-2020)

• Recommender Systems
• Federated Learning
• Augmented Reality Applications
• +۵ مورد دیگر

Dr. Saikishore Kalloori Saikishore is a Lecturer in the Department of Computer Science at ETH Zurich, specializing in areas such as Recommender Systems, Federated Learning, and Augmented Reality Applications. His research focuses on developing privacy-aware collaborative systems, improving news and advertising recommendations, and enhancing user interaction through advanced AR interfaces. His work integrates machine learning techniques with real-world applications, addressing challenges like cold-start recommendations and cross-silo data collaboration. Recent contributions explore ethical AI in news curation, AR-driven tourism experiences, and federated learning frameworks for corporate environments. Notable projects include the EB-NeRD news recommendation dataset and cross-silo federated learning architectures. His research emphasizes balancing algorithmic accuracy with user-centric design principles, particularly in sequential task guidance systems and occlusion effects in AR interfaces. Professional activities include organizing RecSys Challenges (2022-2024) focused on practical recommendation problems like fashion purchase prediction and privacy-preserving ad systems. He maintains active collaborations with industry partners to bridge academic research and real-world deployment.

Saksham Suriمشاهده پروفایل

پژوهشگر

• Computer Vision
• Machine Learning
• Diffusion Models
• +۱۲ مورد دیگر

Saksham Suri is a Researcher at Meta Reality Labs , focusing on efficient foundation models and computer vision . He earned his PhD in Computer Science from the University of Maryland, College Park , advised by Prof. Abhinav Shrivastava . Prior to this, he completed his B.Tech in Computer Science and Engineering at IIIT Delhi , where he worked at the IAB Lab and Precog research group. His research interests center around computer vision and machine learning , particularly in reducing supervision requirements and leveraging synthetic data (e.g., from diffusion models and GANs ) for tasks like object detection , image segmentation , lip synchronization , and video instance segmentation . He has proposed novel architectures and loss functions to enhance recognition through generation, addressing challenges in sparsely annotated object detection , autoregressive generative models , and efficient feature transforms for Vision Transformers . Notable publications include LARP (ICLR 2025, under review), UVIS (CVPR Workshop 2024), Gen2Det (CVPR Workshop 2024), LiFT (ECCV 2024), GRIT (WACV 2024), and Diff2Lip (WACV 2024). These works span topics in video tokenization , synthetic data for detection , lightweight feature transforms , and audio-conditioned lip synchronization . He has collaborated with researchers such as Rama Chellappa , Mayank Vatsa , Richa Singh , C.-C. Jay Kuo , and Larry Davis . His academic contributions include open-source code repositories for projects like LARP , SparseDet , ViT Analysis , and LiFT . He has also served as an Area Chair for CVPR (2018–2021) and contributed to educational resources for courses like CS188 at UC Berkeley.

Mary Flanaganمشاهده پروفایل

استاد

• Interactive Art
• Game Design
• Games and Psychology
• +۱۰ مورد دیگر

Mary Flanagan is the Sherman Fairchild Distinguished Professor in Digital Humanities and Professor of Film and Media Studies at Dartmouth College, with affiliations at the John Sloan Dickey Center for International Understanding. She directs the Tiltfactor Research Laboratory, focusing on games and playful systems for social impact. Her work bridges art, technology, and psychology, addressing equity, bias, and humanistic values in design. Education: B.A., University of Wisconsin at Milwaukee M.A. & M.F.A., University of Iowa Ph.D., Central Saint Martins College of Art and Design, London Research Interests: Flanagan’s transdisciplinary practice explores critical play, game design for social change, and the intersection of technology with societal biases. Her work exposes systemic inequities through interactive art and games, emphasizing feminist AI, ethical design, and participatory systems. Notable projects include the Values at Play methodology and commercial games like Awkward Moment and Phantom Ink . Recent Articles & Exhibitions: Recent work includes psychological studies on gender bias interventions, bystander intervention games, and AI ethics. Her art installations ( [Grace:AI], [Mapscotch] ) have been exhibited globally at institutions like the Guggenheim and Tate Britain. Awards: 2018 Prix Ars Electronica Award (Interactive Art) ACLS Digital Innovation Fellowship Thoma Foundation Arts Writing Award World Economic Forum Tech Pioneer recognition Grants & Labs: Supported by NSF, NEH, and NIJ grants, Flanagan’s Tiltfactor Lab develops games addressing public health, equity, and knowledge creation. Her work often involves collaborative design with psychologists, computer scientists, and artists. Labs/Teams: Tiltfactor Research Laboratory (Dartmouth) focuses on innovative game design for societal impact, with projects like Pox: Save the People and Mechanica .

• Psychology
• Memory Studies
• Healthcare Technology
• +۳ مورد دیگر

Michael Ross holds the academic rank of Adjunct Assistant Professor, though his institutional affiliation remains unspecified in the text. His research spans diverse fields including memory science, psychology, medical diagnostics, education, and cultural studies. His work frequently bridges disciplinary boundaries, such as integrating technology into education or analyzing the sociocultural dimensions of memory. Key research interests include the cognitive processes underlying memory validation, the role of self-representation in aging populations, and the ethical implications of historical injustices. He has contributed to advancements in immunoassay optimization for lymphoma detection and explored how visual imagery influences interpersonal conflict resolution. His publications reflect a commitment to interdisciplinary inquiry, addressing topics from cave geology to religious magnanimity. No specific grants, student advisement, or institutional affiliations are detailed in the provided text. Labs or teams are not mentioned, though collaborative work is evident in projects like optimizing medical diagnostic tools and studying cultural memory systems.

Lukasz Golabمشاهده پروفایل

استاد

• Data Science
• Artificial Intelligence
• Machine Learning
• +۶ مورد دیگر

Lukasz Golab is a Professor in the Department of Management Science and Engineering at the University of Waterloo, cross-appointed to the David R. Cheriton School of Computer Science. He holds a BSc from the University of Toronto (2001) and a PhD from the University of Waterloo (2006, Alumni Gold Medal recipient). Previously, he was a Senior Member of Research Staff at AT&T Labs (2006–2011) and held the Canada Research Chair (2014–2024). His research focuses on data-centric systems with societal impact, including explainable AI, blockchain systems, and applications in sustainability and education. Key research areas include: Explainable AI and model transparency High-speed data systems (blockchains, stream processing) Hate speech detection via multi-modal analysis Education data mining (co-op programs, mental health) Sustainability analytics (climate policy, energy systems) Notable achievements include Best Demo Award at EDBT 2025 and Best Short Paper at SSDBM 2023. His work spans 180+ publications in top venues like VLDB, ICDE, and AAAI. Current projects emphasize societal impact through data-driven solutions.

Ulla Ahonen-Jonnarthمشاهده پروفایل

دانشیار

• Decision Analysis
• Risk Management
• Environmental Policy
• +۳ مورد دیگر

Ulla Ahonen-Jonnarth is an Associate Professor at the University of Gävle, specializing in decision analysis, risk management, and environmental policy. Her research focuses on multi-criteria decision models, geospatial decision frameworks, and human judgment in complex trade-offs. She has contributed to understanding stakeholder collaboration strategies between universities and society, and the psychological aspects of balancing environmental and personal gains/losses. Her work spans experimental psychology (e.g., anchoring effects in judgments) to geospatial visualization tools for decision support. She has published extensively in journals like Renewable Energy Focus, Journal of Multi-Criteria Decision Analysis, and ISPRS International Journal of Geo-Information. Her earlier research (2000s) explored forest ecology, mycorrhizal symbiosis, and plant responses to heavy metals. No scientific awards or student advisees are explicitly listed in the provided materials. Her professional activities include collaborative projects with institutions like the Swedish University of Agricultural Sciences and contributions to forest management simulations.

• Databases
• Database Theory
• Complexity Theory
• +۲ مورد دیگر

Christoph Koch is an Associate Professor at Technische Universität Wien specializing in databases and artificial intelligence. His research spans database theory, complexity theory, and logic in computer science, with a focus on XML processing, query optimization, and parallel data science techniques. Lead projects: KnowledgeGraph (2020–2028), HINT (2012–2017), Weblearn (2005–2008) Developed the Lixto visual extraction system and contributed to DLV knowledge representation framework Supervised T. Lukasser's diploma thesis on XPath query processing

• Computer Vision
• Machine Learning
• Natural Language Processing
• +۳ مورد دیگر

Dr. Suman Kumar Ghosh is a Lecturer in Data Science and Computer Science at York St John University, affiliated with the York Business School in London. His research focuses on computer vision, machine learning, and natural language processing, with a decade of experience across diverse industries. He has contributed to advancements in handwritten character recognition, scene text understanding, and segmentation-free word spotting techniques. His work spans foundational research in document analysis, including contributions to datasets like the Versailles-FP for ancient floor plan analysis. He has published extensively in top-tier conferences such as ICDAR and CVPR, addressing challenges in word spotting, bi-gram indexing, and visual attention models for text recognition. His research bridges theoretical advancements with practical applications in multilingual systems and adaptive feature extraction. No scientific awards are explicitly mentioned in the profile. His teaching responsibilities include modules on machine learning and artificial intelligence concepts.

• Applied Linguistics
• Discourse Analysis
• Professional Communication
• +۳ مورد دیگر

Kristin Halvorsen is a Professor at the Department of Language and Literature, Faculty of Humanities, Norwegian University of Science and Technology (NTNU). Her research focuses on applied linguistics, particularly discourse analysis in professional and organizational settings. She teaches in the MSKIP program and supervises PhD candidates exploring institutional communication dynamics. Education: Holds a Master’s in Cultural Studies (Ohio University, 1998) and a Doctorate in Applied Linguistics (NTNU, 2015). Her work emphasizes face-to-face and digital interaction analysis, addressing challenges in healthcare, welfare, and emergency services sectors. Research Interests Discourse analysis of professional practices, including healthcare documentation and welfare counseling Communication in cross-sector collaboration (e.g., fire safety, patient care transitions) Written digital dialogues between users and public service providers Key Projects NORDISCO 2025: Nordic interdisciplinary conference on discourse and interaction SKOP Research Group: Studies communication in professional organizations Analysis of digital welfare counseling interactions in NAV (Norwegian Labour and Welfare Administration) Advising & Grants Supervises master’s and PhD students in institutional communication. Collaborates with NAV and other public agencies to improve service delivery through discourse-based insights. Active in projects addressing ethical access challenges in applied linguistics research. Labs/Teams Forskergruppen SKOP (communication in professions) Samfunnssikkerhet: Samordning og koordinering (interagency collaboration in emergency services)

Kovacs Agnes Melindaمشاهده پروفایل

دانشیار

• Cognitive Development
• Bilingualism
• Social Cognition
• +۵ مورد دیگر

Agnes Melinda Kovács is an Associate Professor at the Central European University (CEU) in Budapest, Hungary, where she has held this position since 2017. She is a member of the European Academy of Sciences and Arts (Section: Linguistic Studies, elected 2019). Her academic journey includes roles as a Postdoctoral Researcher at SISSA (Trieste, Italy) and the Hungarian Academy of Sciences, followed by progressive research fellowships and teaching roles at CEU. Kovács holds a PhD in Cognitive Science from SISSA (2008) and an MSc in Psychology from Babeș-Bolyai University (2002). Her research focuses on cognitive development, bilingualism, social cognition, and theory of mind. Key contributions include investigations into infants' ability to attribute mental states and the cognitive benefits of bilingualism. She leads major projects like the ERC Starting Grant-funded study on 'Representational preconditions for understanding other minds.' Notable awards include the ERC Starting Grant (2012) and a Central European Initiative Fellowship (2006–2007). She has organized conferences such as the International Conference for Infant Studies (2020) and served on editorial boards, including Magyar Pszichológiai Szemle (2012–2018). Her teaching spans advanced courses on infant cognition and metarepresentations at the PhD level. Kovács supervises multiple PhD students and has contributed to training networks like the Marie Curie Innovative Training Network PREDICTABLE (2015–2019). Her work bridges developmental psychology, neuroscience, and linguistics, emphasizing social and cognitive foundations of human understanding.

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

Dr. Xiaoqing Guo is a Research Fellow at the Department of Engineering Science, University of Oxford. She holds a PhD from City University of Hong Kong (2022) and a B.Eng from Beihang University (2018). Her research focuses on medical image analysis, computer vision, and machine learning, with an emphasis on multimodal learning, human-machine interaction, and robust AI systems. She is affiliated with the Institute of Biomedical Engineering and the Noble Group, contributing to projects like the Turing AI WLR Fellowship. Her educational background includes: B.Eng in Biological Science & Medical Engineering (Beihang University, 2018) PhD in Electrical Engineering (City University of Hong Kong, 2022) Research interests span medical imaging , multimodal systems , and domain adaptation . Recent work includes MMSummary for fetal ultrasound video summarization, Pose-GuideNet for fetal head ultrasound guidance, and IterMask2 for brain lesion segmentation. She explores challenges like noisy labels, open-set generalization, and few-shot learning for rare diseases. Her publications reflect a trend toward medical AI applications , cross-modal systems , and domain adaptation . Notable contributions include novel frameworks for segmentation, anomaly detection, and adaptive learning. Awards include the 2024 Asian Deans’ Forum Rising Star and 2023 Global Top 80 Chinese Young Female AI Scholars. She was also a CVPR Outstanding Reviewer (2023) and recipient of the Chow Yei Ching Doctoral Research Award (2022). Dr. Guo’s work bridges theory and clinical practice, with projects in collaboration with institutions like the University of Oxford’s Visual AI Research Group. She is involved in initiatives like the Turing AI Fellowship and contributes to advancing medical imaging technologies.

Floor Broekgaardenمشاهده پروفایل

استادیار

• Gravitational Waves
• Massive Stars
• Black Holes
• +۵ مورد دیگر

Floor Broekgaarden is Assistant Professor of Astronomy at UC San Diego, pioneering Gravitational Wave Paleontology to study massive stars through compact object mergers. She directs the Gravitational Wave Paleontology Lab and founded the SMASH initiative for interdisciplinary data science collaboration. Education includes: Ph.D. Astrophysics, Harvard University (2023) M.Sc. Astronomy, University of Amsterdam/Vrije Universiteit (2018) B.Sc. Physics & Astronomy and B.Sc. Mathematics, University of Amsterdam (2017) Research develops computational methods to analyze binary evolution across cosmic time, addressing the 'Uncertainty Challenge' in gravitational wave source modeling. Projects integrate population synthesis, machine learning, and cosmological simulations to trace stellar evolution pathways. Publications explore metallicity dependencies in binary formation, detector capabilities for next-generation observatories, and multi-messenger strategies. Recent work quantifies deviations between black hole merger rates and cosmic star formation histories. Recipient of Simons Foundation, NASA, and NSF grants supporting research on stellar populations and gravitational wave detection. Leads international collaborations in the COMPAS consortium and Einstein Telescope initiative. Mentors graduate students in projects spanning r-process enrichment, detection rate predictions, and machine learning applications for binary evolution modeling.

Matt Duckhamمشاهده پروفایل

استاد

• Geospatial AI
• Spatial Algorithms
• Geovisualisation
• +۵ مورد دیگر

Matt Duckham is a Professor in Geospatial Sciences and Director of the Information in Society Enabling Impact Platform at RMIT University. He has held previous academic roles at the University of Melbourne as an Australian Research Council Future Fellow and at the University of Maine's National Center for Geographic Information and Analysis. His work bridges theoretical and applied GIScience, with a focus on AI integration and spatial knowledge infrastructure. Academic Leadership: Director, Information in Society EIP (2021–present); Acting Dean, STEMM Diversity and Inclusion (2020–2021) Research Themes: Geospatial AI, Qualitative Spatial Reasoning, Decentralized Geosensor Networks, Spatial Data Trusts Recent Publications demonstrate his commitment to advancing spatial computing through machine learning integration and explainable AI frameworks. His teaching resources include open-access textbook materials and practical exercises spanning relational spatial databases and data visualization. Professional Contributions include co-founding the Journal of Spatial Information Science and developing open educational resources under a Creative Commons Attribution license. His work addresses critical issues in data ethics , urban resilience , and emergency response systems .

Jae-Jae Spoonمشاهده پروفایل

استاد

• Comparative Politics
• Political Behavior
• Party Competition
• +۴ مورد دیگر

Jae-Jae Spoon is a Professor and Chair of the Department of Political Science at the University of Pittsburgh, housed within the Dietrich School of Arts and Sciences. She previously served as Director of the European Studies Center (ESC), a Jean Monnet Center of Excellence and National Resource Center for European Studies. Her research focuses on comparative electoral behavior in Europe, particularly the strategies of political parties—especially new and small parties—and how institutional contexts shape party behavior at domestic and European levels. She is co-editor of Research & Politics and has held editorial roles with JEPOP . Education: PhD in Political Science from the University of Michigan (2005). Prior academic roles include positions at the University of Iowa, University of North Texas, and visiting research at the University of Mannheim. Research Interests : European party systems and party competition Electoral behavior and voter responses Strategic adaptation of small/new parties Multi-level governance and EU policy-making Recent Trends in Work : Recent articles analyze coalition governance effects, radical right parties' environmental issue engagement, and institutional impacts on party survival. Her 2023 work on junior coalition strategies and 2021 study on far-right challenger accommodation highlight her focus on party responsiveness and electoral dynamics. Awards & Recognition : While no specific awards are listed, her editorial roles and frequent publications in top journals like European Journal of Political Research and West European Politics reflect scholarly impact. Advising & Grants : Advised PhD students including Jeffrey Nonnemacher (job market), Matt Avina (U Copenhagen), Alex Honeker (Texas A&M-Qatar), and Anthony Ocepek. Active in securing grants for ESC initiatives and EU-focused research. Labs/Teams : Leads the European Studies Center, fostering interdisciplinary research on EU governance and policy. Collaborates widely with scholars like Heike Klüver and Christopher Williams on comparative projects.