جست‌وجوی استاد و پژوهشگر

Sinisa Todorovicمشاهده پروفایل

استاد

• Computer Vision
• Machine Learning
• Artificial Intelligence
• +۶ مورد دیگر

Sinisa Todorovic is a Professor in the School of Electrical Engineering and Computer Science at Oregon State University (OSU). He holds a Ph.D. (2005) and M.S. (2002) from the University of Florida, and a B.S./M.S. from the University of Belgrade (1994). Before joining OSU, he was a postdoc at the Beckman Institute, University of Illinois, and a software engineer at Siemens (1998–2001). His research focuses on computer vision, machine learning, and AI, particularly semantic/instance segmentation, action segmentation in videos, few-shot learning, weakly-supervised learning, and cross-domain adaptation. He leads projects like fruit orchard segmentation datasets and transformer-based cross-domain semantic segmentation. Key contributions include the Volleyball dataset for group activity analysis, Hough Forest Random Fields for object segmentation, and boundary flow estimation. His work bridges theory and applications, including robotics, medical imaging, and sports video analysis. Todorovic advises over 20 graduate students and collaborates on grants involving AI ethics, explainable systems, and agricultural automation. He is affiliated with OSU's Data Science and Engineering and AI/Robotics research groups.

Yoo Ji Suhمشاهده پروفایل

مدرس

• Media Effects
• Moral Psychology
• Public Opinion
• +۳ مورد دیگر

Yoo Ji Suh is a Lecturer and Ph.D. candidate at the University of Wisconsin-Madison School of Journalism and Mass Communication (SJMC), with minors in Political Science and Psychology. Her research focuses on the intersection of media effects, moral psychology, and public opinion, particularly exploring how media and morality shape civic culture, social movements, and pro-social behaviors. She employs computational, experimental, and survey methods to address these questions. In Spring 2025, she teaches JOURN 677: Concepts & Tools for Data Analysis and Visualization. Education: Ph.D. candidate at UW-Madison SJMC, with minors in Political Science and Psychology. Her research interests include: Moral psychology’s role in political persuasion and democratic culture Backlash dynamics against social movements Designing interventions to promote tolerance and compromise Gender biases in AI-generated media Fact-checking efficacy and audience engagement in news media Her recent work analyzes moral framing strategies, algorithmic bias in AI systems, and the psychological mechanisms behind misinformation acceptance. While no scientific awards are explicitly listed, her publications reflect innovative interdisciplinary approaches to media studies. Her teaching and advising activities are centered on data literacy and critical media analysis, with no grants or labs explicitly mentioned in the provided text.

Russell C. Hardieمشاهده پروفایل

استاد

• Digital Signal Processing
• Image Processing
• Machine Learning
• +۳ مورد دیگر

Russell C. Hardie is a full-time Professor at the University of Dayton , holding positions in the Department of Electrical and Computer Engineering with joint appointments in Electro-Optics and Photonics and Bioengineering . His academic journey began with a B.S. in Engineering Science from Loyola College (1988), followed by M.S. and Ph.D. in Electrical Engineering from the University of Delaware (1990, 1992). Prior to joining the University of Dayton in 1993, he served as a Senior Scientist at Earth Satellite Corporation (now MDA Federal). Research Interests : Digital signal/image processing, medical imaging, super-resolution techniques, hyperspectral/infrared imaging, pattern recognition Key Awards : 2006 Alumni Award in Teaching (University of Dayton) 1998 Rudolf Kingslake Medal (SPIE) 1999 School of Engineering Excellence in Teaching 2002 IEEE Professor of the Year 1997 Epsilon Delta Tau Engineering Professor of the Year Recent Work : Focuses on machine learning applications for medical imaging (lung segmentation, nodule detection), atmospheric turbulence mitigation, and hyperspectral data analysis. His 15 most recent publications span topics from zero-shot chest X-ray analysis to methane plume detection and turbulence-corrected imaging systems. Contact: rhardie1@udayton.edu

• Observational Cosmology
• Cosmic Expansion Rate
• Dark Energy and Dark Matter
• +۷ مورد دیگر

Dr. Sherry H. Suyu is an Associate Professor at the Technical University of Munich (TUM) and a Max Planck Fellow at the Max Planck Institute for Astrophysics. Her research focuses on gravitational lensing applications for cosmology, particularly in measuring the cosmic expansion rate and studying dark energy/dark matter. She leads the HOLISMOKES program funded by an ERC Consolidator Grant. Her research group at TUM School of Natural Sciences Department of Physics investigates: Dark cosmos through gravitational lensing Supernova observations and Tidal Disruption Events Bayesian inference methods for astrophysical modeling Machine learning applications in lensed system analysis Scientific achievements include: 2021 Berkeley Prize from American Astronomical Society ERC Consolidator Grant for HOLISMOKES program Discovery of 330 high-quality lens candidates in Pan-STARRS survey She teaches courses including: Experimental Physics 1 (Winter 2024/5) Gravitational Lensing (Winter 2024/5) Introduction to Nuclear/Particle/Astrophysics (Summer 2025) The group includes 13 active members and 14 alumni across 7 institutions. Current work integrates HST and LSST imaging for next-generation lens discovery.

Laurence Ashworthمشاهده پروفایل

استاد

• Marketing
• Consumer Behavior
• Business Administration
• +۷ مورد دیگر

Laurence Ashworth is a Full Professor and Associate Dean (Research) at the Smith School of Business, Queen's University. He holds a PhD in Marketing (2004) and B.Com (1998) from the University of British Columbia. His research focuses on social and emotional influences on consumer decision-making, particularly in areas like respect in buyer-seller relationships, self-image concerns, and fairness perceptions. Ashworth teaches courses on consumer behavior and marketing across undergraduate, MBA, and PhD programs. He has held roles such as Scotiabank Scholar and Associate Dean, and serves on committees including the General Research Ethics Board and Renewal, Tenure, and Promotion Committee. His research has been published in top journals like Journal of Consumer Research and Journal of Marketing , and he has received awards including the Distinguished Faculty Fellow (2019) and Commerce ’83 Fellowship (2011). Key research themes include gift-giving's impact on identity, the psychology of consumer competence, and the role of perceived respect in satisfaction. His work often bridges theoretical insights with practical implications for marketing strategy and policy. Affiliations: Smith School of Business, Scotiabank Centre for Customer Analytics Education: PhD (UBC 2004), B.Com (UBC 1998) Grants: SSHRC grants ($44k-$52k) for studies on fairness judgments and barriers to financial advice Service: Inter-Collegiate Business Competition judge, Shad Valley Program speaker

• Structural Dynamics
• Railway Engineering
• Structural Health Monitoring
• +۷ مورد دیگر

Anders Rønnquist is a Professor and Head of the Department of Structural Engineering at NTNU's Faculty of Engineering. His research focuses on structural dynamics, railway infrastructure, and timber structures, with emphasis on reliability, safety, and innovative monitoring techniques. Collaborations include KTH Stockholm, University of Porto, and industry partners like Elektromotus and Vilnius-based entities. Research Interests Dynamic behavior of railway catenary systems and bridges Structural health monitoring using advanced sensors and machine learning Timber frame dynamics and connection stiffness modeling Wind-structure interaction in long-span bridges Conceptual form-finding in architectural engineering Recent Research Trends Recent work emphasizes data-driven approaches: Kalman filters for crosswind load estimation, deep learning for structural defect detection, and surrogate models for pantograph-catenary systems. Studies also address long-term monitoring of timber buildings and fatigue reliability of railway bridges under evolving traffic conditions. Education & Teaching Coordinates the Teknostart Master's program in Civil & Environmental Engineering. Teaches advanced courses in structural dynamics, steel structures, and railway catenary systems at NTNU. Active in interdisciplinary education bridging structural engineering and architecture. Research Groups Structural Dynamics Group Conceptual Structural Design Group

• Musculoskeletal Pain
• Clinical Decision Support Systems
• Primary Care
• +۶ مورد دیگر

Lars Christian Naterstad Lervik is an Associate Professor at the Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU). His work focuses on improving primary care for musculoskeletal pain through clinical decision support systems and biomedical imaging innovations. Current Role: Associate Professor, NTNU Expertise: Musculoskeletal disorders, ultrasound imaging, stratified care Research interests center on musculoskeletal pain management , particularly in general practice. He develops clinical decision support systems like SupportPrim for stratified care, aiming to enhance diagnostic accuracy and treatment efficacy. His biomedical work includes ultrasound-based tissue fibrosis detection and myocardial strain rate analysis , leveraging advanced imaging techniques. Key publications reveal trends in health informatics and biomedical engineering . His 2023 study details a computerized decision support system for general practice, while 2020 and 2017 works explore mechanical wave velocity and cardiac tissue dynamics via ultrasound. He actively engages in outreach, including presentations at MUSS conferences and educational initiatives for physiotherapists. Recent collaborations involve AI-based apps for musculoskeletal self-management (SmaRTWork trial) and cluster RCTs for stratified care implementation.

Sulochana Asirvathamمشاهده پروفایل

استاد

• Greek Historiography
• Ancient History
• Alexander the Great
• +۳ مورد دیگر

Sulochana Asirvatham is a Professor of Classics and General Humanities at Montclair State University, part of the College of Humanities and Social Sciences. She holds a PhD from Columbia University (2000) and has been at Montclair since 2002. Her research focuses on Greek historiography, particularly the reception of Alexander the Great in imperial Greek literature, including the Greek Alexander Romance and its cross-cultural adaptations. She teaches ancient Greek and Latin, emphasizing their role in language education and vocabulary development. Her work examines how ancient authors framed historical narratives, especially regarding Macedonian identity and Alexander’s legacy in Roman-era texts. Key projects include a monograph on Greek literature’s shaping of Alexander’s image and collaborative edited volumes on Macedonian monarchy and imperial dynamics. She contributes to Brill’s New Jacoby series, analyzing fragments of ancient historians like Asklepiades of Tragilos. Recent publications explore Alexander’s military alliances, Cassius Dio’s bilingualism in governance, and Plutarch’s ethical frameworks. Her scholarship bridges ancient historiography with modern reception studies, addressing themes like cultural memory, identity politics, and classical texts’ adaptation across eras.

Mihai Surdeanuمشاهده پروفایل

دانشیار

• Natural Language Processing
• Machine Learning
• Deep Learning
• +۲ مورد دیگر

Mihai Surdeanu is an Associate Professor in the Department of Computer Science at the University of Arizona. His academic work focuses on advancing natural language processing and machine learning techniques, with a particular emphasis on large language models, information extraction, and model efficiency. He can be reached at msurdeanu@arizona.edu. Research Interests: Natural Language Processing Machine Learning Deep Learning Information Extraction Artificial Intelligence Scientific Trends: His recent work explores critical challenges in large language models, including data contamination detection, adversarial perturbation defense, quantization methods, and reasoning robustness. Publications highlight techniques like prompt chaining, layerwise optimization, and speculative generation to improve model performance and interpretability.

Liu Kangمشاهده پروفایل

استاد

• Critical theory
• China studies
• International politics
• +۷ مورد دیگر

Liu Kang holds dual professorships as Zhiyuan Chair Professor at Shanghai Jiao Tong University (where he serves as Dean of the Institute of Arts and Humanities) and Professor of Chinese Media and Cultural Studies at Duke University. He concurrently directs the Duke Program of Research on China (PRC) and leads multiple research initiatives including the Shanghai-Jiaotong University-Shanghai Municipality Joint Research Center for National Image, Creativity and Innovation (RMB 15 million grant). His education includes a BA in English from Nanjing University and MA/PhD in Comparative Literature from Madison University (likely University of Wisconsin-Madison). Research focuses on critical theory, China studies, international politics, and media narratives with a particular emphasis on global public opinion dynamics and cultural globalization. Leadership roles include Secretary General of the Global Barometer Survey Organization and Director of the Shanghai Global Public Opinion Research Center. He has organized major media exchange programs between Europe and China since 2011, supported by the Bosch Foundation, fostering cross-cultural dialogue among leading journalists. His work bridges academia and policy, examining how cultural narratives shape international perceptions of China. Key projects include the 'Survey of American Attitudes toward China' and comparative studies on global public opinion toward rising powers.

• Psychology
• Public Health
• Health Services
• +۱۲ مورد دیگر

Eunro Lee is an Adjunct Principal Research Fellow in the Department of Health and Biomedical Sciences at RMIT University, Australia, based at the Bundoora West campus. Dr. Lee's interdisciplinary research spans psychology, public health, law, and education with a focus on vulnerable populations including children, indigenous communities, and individuals with mental health conditions. Dr. Lee's research interests include social psychology, applied statistics, educational psychology, law and psychology, organizational psychology, neuropsychology, restorative justice, therapeutic jurisprudence, and indigenous well-being and health. Their work demonstrates a strong interdisciplinary approach that bridges psychological theory with practical applications in health, education, and legal contexts. A significant portion of Dr. Lee's research focuses on mental health interventions, educational outcomes in diverse settings, criminal justice processes, and health behaviors. Analysis of Dr. Lee's recent publications reveals a consistent focus on the intersection of social identity, psychological well-being, and behavioral outcomes. Their research often employs sophisticated statistical methods including structural equation modeling to examine complex mediation pathways. Key thematic areas include mental health interventions, educational outcomes in diverse settings, criminal justice processes, and health behaviors. Dr. Lee has collaborated extensively with researchers across multiple institutions and disciplines, as evidenced by the diverse authorship on their publications. Their work has been published in high-impact journals across psychology, education, public health, and legal studies.

Weilin Liمشاهده پروفایل

استادیار

• Applied and Computational Harmonic Analysis
• Super-Resolution
• Signal Processing
• +۴ مورد دیگر

Weilin Li is an Assistant Professor in the Department of Mathematics at the City College of New York (CUNY). His research focuses on applied and computational harmonic analysis, with emphasis on super-resolution, quantization methods, and signal processing. He holds a PhD in Mathematics from the University of Maryland, College Park, and was previously a Courant Instructor at New York University. Education PhD in Mathematics, University of Maryland, College Park (201X) Courant Instructor, New York University, 201X-201X Research Interests Dr. Li's work bridges pure mathematics and applied sciences, with key areas including nonharmonic Fourier analysis, spectral super-resolution, and compressed sensing. His methods address challenges in signal reconstruction under quantization constraints and subspace estimation techniques. Recent Trends in Publications Recent work explores optimality of spectral estimation algorithms (e.g., Gradient-MUSIC), stability of Fourier matrices, and applications of scattering transforms in hyperspectral imaging. His research often intersects with machine learning, particularly in understanding approximation capabilities of neural networks under quantization. Awards & Grants Recipient of the 2021 Charles Chui Young Researcher Best Paper Award Funded by NSF, PSC-CUNY, and City College Foundation grants Academic Engagement Co-organizer of the One World MINDS Seminar, CUNY GC Harmonic Analysis and PDE Seminar, and CUNY analysis learning seminars. Active in mentoring graduate students, including Ben Tupper who joined the PhD program in 2025.

Barbara Postemaمشاهده پروفایل

مدرس

• Comics Studies
• Narrative Theory
• English for Academic Purposes
• +۵ مورد دیگر

Barbara Postema is a Lecturer in English for Academic Purposes at the University of Groningen's Faculty of Arts, affiliated with the English Language and Culture department. She holds a PhD from Michigan State University (2010) and specializes in comics studies, narrative theory, and visual narration. Her research explores wordless comics, AI collaboration in comics creation, and transcultural graphic narratives. She serves as Associate Editor of the Journal of Graphic Novels and Comics, co-editor of the 'Crossing Lines' book series (Wilfrid Laurier UP), and holds editorial roles in multiple academic journals. Recent work includes analyzing AI's role in synthetic comics and examining the impact of ChatGPT on humanities scholarship. Postema is actively involved in academic societies like the Comics Studies Society and the Canadian Society for the Study of Comics. Her research spans topics like graphic novel history, experimental visual forms, and the cultural significance of comics festivals. She has published widely in Image and Narrative, International Journal of Comic Art, and Palgrave Studies in Comics. Current projects focus on non-verbal narratives and digital humanities applications in comics.

Michael Quellmalzمشاهده پروفایل

پژوهشگر

• Applied Mathematics
• Inverse Problems
• Tomography
• +۴ مورد دیگر

Dr. Michael Quellmalz is a Researcher in Applied Mathematics at the Technical University of Berlin (TU Berlin), affiliated with Faculty II - Mathematics and Natural Sciences and the Institute of Mathematics. His research focuses on inverse problems, tomography, optimal transport, and Fourier analysis with applications in medical imaging and computational geometry. He actively contributes to the SFB Tomography Across the Scales collaborative research center, advancing reconstruction techniques in diffraction tomography and motion detection. He teaches a variety of courses including Analysis II for Engineering, Harmonic Analysis I, and Numerical Mathematics, emphasizing both theoretical foundations and their practical implementations. His work has been recognized through awards such as the Universitätspreise 2020 and a Digital Fellowship for innovative educational contributions in adaptive feedback systems. Key publications include advancements in sliced optimal transport on spheres, motion detection algorithms, and Fourier-based reconstruction methods. Dr. Quellmalz's research group develops MATLAB toolboxes for applications like FourierODT and NFFT-Sinkhorn, reflecting his commitment to bridging mathematical theory with computational tools. His academic journey includes a PhD from TU Chemnitz (2019) and extensive participation in international conferences, workshops, and collaborative projects across Europe.

Yang Huaمشاهده پروفایل

مدرس

• Computer Vision
• Machine Learning
• Visual Recognition
• +۳ مورد دیگر

Dr. Yang Hua is a Lecturer in the School of Electronics, Electrical Engineering and Computer Science at Queen's University Belfast. His research focuses on computer vision, machine learning, and their practical applications, including visual recognition, robust learning with limited data, and hardware-aware systems. He has supervised multiple PhD students in areas like generative adversarial networks and domain adaptation. Affiliations: Institute of Electronics, Communications & Information Technology; Co-Investigator in multiple research projects (e.g., R5159ECS, R2733CPH). Teaching: Courses include 'How to do Research' and 'Database and Programming Fundamentals' for MSc and PhD students. Research Interests: Dr. Hua's work addresses challenges in visual recognition, domain adaptation, and federated learning. He emphasizes real-world applications and has contributed to competitions like PASCAL VOC Challenge and VOT-TIR2015. Awards: Recognized with Queen's University STAR award (2019), VOT-TIR2015 tracker win, and multiple PASCAL VOC Challenge wins. His research has been funded by Microsoft Research and European conferences. Grants & Projects: Includes 'Artificial Intelligence for Vision-Based Navigation' and collaborations on medical imaging (e.g., AMD diagnosis). He leads projects on federated learning and domain adaptation. Labs/Teams: Active in the Institute of Electronics, Communications & Information Technology, contributing to distributed AI and biomedical applications.