جستجوی استاد راهنمای دانشگاهی

Stephanie Gilمشاهده پروفایل

استادیار

• Artificial Intelligence
• Robotics and Control
• Computer Science
• +۴ مورد دیگر

Stephanie Gil is an Assistant Professor of Computer Science at the Harvard John A. Paulson School of Engineering and Applied Sciences. Her research focuses on artificial intelligence, robotics, and distributed systems, particularly addressing challenges in multi-agent coordination, resilience to adversarial attacks, and wireless communication for autonomous systems. She leads the REACT Lab, advancing research in resilient multi-robot networks and cyber-physical systems. Her work integrates machine learning, control theory, and wireless sensing to solve problems such as whale tracking via autonomous robots, proactive multi-robot routing, and decentralized exploration without explicit information exchange. She has received prestigious awards, including the DARPA Young Faculty Award (2024) and the Amazon Research Award (2021). Key research areas include resilient distributed optimization, trust-centered coordination in multi-agent systems, and leveraging wireless signals (e.g., WiFi-CSI) for sensing and bearing estimation. Her contributions span both theoretical frameworks and practical implementations, with a focus on real-world applications like autonomous rideshare routing and environmental monitoring. Dr. Gil’s research also explores trust and cybersecurity in dynamic networks, with publications on crowd vetting, malicious robot detection, and adaptive communication strategies. She collaborates on interdisciplinary projects, such as Project CETI, combining AI and robotics for ecological studies.

• Computational Linguistics
• Computer Science
• Machine Learning
• +۱ مورد دیگر

Noah A. Smith is an Adjunct Professor of Computer Science and Engineering at the University of Washington. His work focuses on computational linguistics, machine learning, and natural language processing. He holds a Ph.D. in Computer Science from Johns Hopkins University (2006). His research explores ethical AI applications, multimodal systems, and foundational aspects of language models. Key research areas include: Ethical considerations in NLP, such as detecting rights abuses through text analysis Efficient decoding and alignment strategies for large language models Large-scale evaluation frameworks for multitask and multimodal generation Understanding pretraining dynamics and data composition effects Recent work emphasizes transparency in language models (e.g., tracing outputs to training data) and improving alignment through human feedback. He has contributed to open-source projects like OLMo and Dolma, advancing reproducibility in NLP research. No awards explicitly listed in provided texts. No specific advising or grant details available, though extensive publication output indicates active research involvement.

Kihana Miraya Rossمشاهده پروفایل

استادیار

• Black Education Studies
• Antiblackness in Education
• Educational Fugitivity
• +۵ مورد دیگر

Kihana Miraya Ross is an Assistant Professor in the Department of Black Studies at Northwestern University, affiliated with the Weinberg College of Arts & Sciences. She holds a Ph.D., M.A., and B.A. from UC Berkeley in Social and Cultural Studies of Education, African American Studies, and Sociology. Her research focuses on antiblackness in education, Black educational fugitivity, and educational reparations, employing critical ethnography and participatory design methods. Her book project examines the afterlife of school segregation and strategies for Black educational futurities. She co-directed the documentary Stolen School , exploring the closure of Evanston’s Foster School and its lasting impacts. Ross has received major grants from the Spencer Foundation and fellowships from the Ford Foundation. Education: Ph.D. in Social and Cultural Studies of Education (UC Berkeley, 2016) M.A. in Social and Cultural Studies of Education (UC Berkeley, 2011) B.A. in African American Studies, Sociology, and Education (UC Berkeley, 2002) Key Projects: Spencer Foundation-funded research on Evanston’s educational reparations Documentary Stolen School (2023) Awards: 2021 Spencer Foundation Large Grant 2017 Ford Foundation Postdoctoral Fellowship Ross’s work bridges historical analysis and contemporary activism, advocating for systemic change through frameworks like Black fugitivity. She collaborates with community organizations like Shorefront Legacy Center and mentors interdisciplinary projects on race, education, and spatial justice.

Han Joo Leeمشاهده پروفایل

استاد

• Anxiety Disorders
• Psychopathology
• Clinical Psychology
• +۳ مورد دیگر

Han Joo Lee is a Professor and Director of Graduate Studies in the Department of Psychology at the University of Wisconsin-Milwaukee (UWM). He holds appointments in both the College of Letters & Science and the Clinical Psychology program. Lee earned his Ph.D. from the University of Texas at Austin in 2009. His research focuses on adult psychopathology, particularly anxiety disorders (e.g., OCD, social anxiety, PTSD), cognitive-perceptual processing abnormalities, and web-based psychological interventions. He has developed online assessment systems for anxiety disorders and conducted experimental studies on attentional biases and error-monitoring processes in clinical populations. Key research themes include: (1) maladaptive cognitive-perceptual mechanisms underlying anxiety disorders, (2) digital tools for mental health assessment, and (3) behavioral interventions targeting compulsive behaviors. His work integrates experimental, clinical, and neuroscientific approaches to understand symptom maintenance and treatment development. Lee's recent studies explore functional connectivity in skin-picking disorders, predictive factors for OCD treatment outcomes, and dual-hormone stress reactivity in PTSD. He collaborates with institutions like the UWM Psychology Clinic and maintains active grant-funded research projects. No specific awards are listed, but his extensive publication record reflects sustained contributions to clinical psychology. He advises the graduate program at UWM, overseeing training for clinical psychology doctoral students. His lab develops innovative interventions, including computerized response inhibition training for trichotillomania and interpretation-based treatments for thought-action fusion.

Moises Arceمشاهده پروفایل

استاد

• Environmental Politics
• Conflict Processes
• Democratic Governance
• +۳ مورد دیگر

Moisés Arce is a Professor and the Scott and Marjorie Cowen Chair in Latin American Social Sciences at Tulane University's Department of Political Science, School of Liberal Arts. He holds a Ph.D. in Political Science from the University of New Mexico (2000), with prior academic roles at the University of Missouri and Louisiana State University. His research focuses on environmental politics, conflict processes, democratic governance, and comparative political economy, with a regional emphasis on Latin America. He has conducted fieldwork in Peru, Argentina, Bolivia, and South Africa. Education: Ph.D., Political Science, University of New Mexico, 2000 M.A., Political Science, University of New Mexico, 1995 B.A., Political Science, Indiana University, South Bend, 1992 Research Interests: Arce examines the interplay between resource extraction, environmental governance, and social mobilization. His work analyzes protest dynamics, democratic institutions, and the political economy of development in Latin America. Key themes include artisanal mining conflicts, legislative authoritarianism, and the socio-environmental impacts of extractive industries. Awards: He received the Shared Governance Award (2017-2018) from the University of Missouri Faculty Council and the Award for Excellence in Political Science (1992) from Indiana University. His research is funded by the National Science Foundation and the Social Science Research Council. Advising & Grants: While specific student names are not listed, Arce has advised on projects related to resource conflicts and democratic governance. His grants include NSF-funded studies on environmental politics and protest dynamics. Affiliations: Arce is affiliated with the Stone Center for Latin American Studies, the Center for Inter-American Policy and Research (CIPR), and served as a Visiting Fulbright Lecturer at Peru's Pontificia Universidad Católica and Visiting Professor at the University of Tokyo's Department of Area Studies.

Jing Jiangمشاهده پروفایل

استاد

• Natural Language Processing
• Machine Learning
• Data Mining
• +۴ مورد دیگر

Roles and Affiliations: Full Professor at the School of Computing and Information Systems (SCIS), Singapore Management University (SMU). Research Advisor to Xiaosen Zheng and Kankan Zhou. Serves as Action Editor for Transactions of the Association for Computational Linguistics (TACL) , Program Co-Chair of EMNLP 2019, and Editorial Board Member of Computational Linguistics (2015-2017). Education: PhD in Computer Science, University of Illinois at Urbana-Champaign (2008) B.S. and M.S. in Computer Science, Stanford University Research Focus: Specializes in natural language processing (NLP), text mining, machine learning, and data mining. Current interests include question answering, social media content analysis, and combating misinformation. Explores topics like counterfactual syntax for cross-lingual understanding, interventional training for robust NLU, and bias detection in vision-language models. Publications: Over 100+ peer-reviewed papers across top conferences (ACL, EMNLP, NAACL) and journals. Recent work emphasizes multimodal analysis, hate speech detection in memes, and robustness improvements for large language models. Key themes include cross-lingual systems, knowledge base question answering, and misinformation mitigation. Grants & Advising: Supervises PhD/Master’s students in cutting-edge NLP research. Leads projects on model memorization studies, hate meme classification, and interventional training frameworks. Active in organizing conferences and editorial roles. Teaching: Teaches courses in software foundations and programming fundamentals, bridging theory and practical NLP applications.

Sibel Adaliمشاهده پروفایل

استاد

• Trust in Networks
• Social Networks
• Databases
• +۵ مورد دیگر

Sibel Adali is a Professor in the Department of Computer Science at Rensselaer Polytechnic Institute’s School of Science. She joined RPI in 1996 after earning her PhD from the University of Maryland. Her academic roles include Associate Head and Graduate Program Director of the Computer Science Department (2015-2018) and currently serving as Associate Dean of Science for Research and Graduate Studies at RPI. She teaches foundational Computer Science courses in problem-solving and databases. Education: PhD from University of Maryland. Adali’s research focuses on trust modeling, social networks, information retrieval, and semantic analysis. She has led cross-cutting projects addressing cognitive science intersections with network theory, including roles as ARL-lead CTA Trust Coordinator and SCRNARC Associate Director. Her work explores misinformation mitigation, semantic shifts in language, and expert identification in social media ecosystems. Recent publications highlight her contributions to fake news detection, semantic change modeling, and AI-driven misinformation interventions. Her research trends emphasize interdisciplinary approaches combining machine learning, computational linguistics, and behavioral studies. Scientific Awards: Trustees' Outstanding Teacher Award (2015), Rensselaer Polytechnic Institute’s highest teaching honor. Adali actively collaborates on grants and projects through research centers including MOCA, IDEA, SCNARC, and ARL CTA partnerships. She advises students on advanced computational research and participates in military communications technology initiatives.

Bridget Rubenkingمشاهده پروفایل

دانشیار

• Emotional Processing of Media
• Cognitive Processing of Media
• Persuasion
• +۵ مورد دیگر

Bridget Rubenking is an Associate Professor in the Nicholson School of Communication and Media at the University of Central Florida. Her research focuses on the dynamic emotional and cognitive processing of mediated content from an empirical, social science perspective, with recent work analyzing physiological and cognitive responses to disgust-eliciting entertainment media and second-screen viewing behavior. Emotional Processing of Media Cognitive Processing of Media Persuasion Biological & Motivational Individual Differences Attention, Learning & Memory Entertainment Content – TV, Film, Interactive Health Messaging, Campaigns Discrete Viewing Choices & Behavioral Outcomes of Viewing Her scholarly contributions have been published in Journal of Communication , Motivation & Emotion , and Media Psychology . She was awarded the Broadcast Education Association’s New Faculty Research Grant in 2014. Dr. Rubenking teaches courses on media and society, communication theory, and quantitative research methods.

Sally M. Reisمشاهده پروفایل

استاد

• Gifted and Talented Education
• Achievement Gap
• Enrichment Programs
• +۶ مورد دیگر

Sally M. Reis is a Board of Trustees Distinguished Professor in Educational Psychology at the University of Connecticut, holding the title of University Teaching Fellow and previously occupying the Letitia Neag Chair. With over four decades of academic leadership, she has shaped national and international practices in gifted education through her co-development of the Schoolwide Enrichment Model (SEM). Her academic credentials include: Ph.D. in Educational Psychology of the Gifted and Talented from the University of Connecticut (1981) B.A. in English and Psychology from Chatham College (1973) Professor Reis's research pioneers strength-based approaches for twice-exceptional learners , particularly students with autism spectrum disorder, while addressing systemic issues like the achievement gap and gender disparities in gifted identification. Her Schoolwide Enrichment Model Reading Framework (SEM-R) revolutionized literacy instruction by integrating student interests with academic rigor, as evidenced in her 250+ publications spanning curriculum compacting, enrichment clusters, and talent development for vulnerable populations. Analysis of her 15 most recent publications reveals a decisive shift toward evidence-based strategies for neurodiverse gifted learners, with 60% of 2023-2025 work focusing on autism spectrum disorder in twice-exceptional students. Her scholarship consistently bridges theory and practice, emphasizing student agency through interest-driven learning and systemic equity in talent development frameworks. Her scientific impact is recognized through: Early Leader Award (NAGC, 1985) Distinguished Service Award (NAGC, 1988) University Teaching Fellow (UConn, 1998) Distinguished Scholar Award (NAGC, 2003) Board of Trustees Distinguished Professor title Fellowship in the American Psychological Association Professor Reis secured a landmark $2.95 million IES grant for SEM-R implementation while directing nationwide professional development initiatives. As past-president of the National Association for Gifted Children and editorial board member of Gifted Child Quarterly, she has mentored generations of scholars through workshops across 48 U.S. states. Her current research examines college transition barriers for twice-exceptional students, funded through ongoing IES collaborations. Through the Renzulli Center for Creativity, Gifted Education, and Talent Development, she leads international SEM implementations including Italy's three-year national study, while pioneering the Enrichment Clusters framework for real-world student-driven learning across 12,000+ global classrooms.

Kamran Sedigمشاهده پروفایل

استاد

• Human-Computer Interaction
• Information Visualization
• Cognitive Technologies
• +۳ مورد دیگر

Dr. Kamran Sedig serves as a Professor in the Department of Computer Science and the Faculty of Information and Media Studies at Western University, where he directs the Insight Lab. His research focuses on designing interactive technologies to enhance human cognitive activities involving data and information, including decision making, problem solving, and learning across domains like healthcare, finance, and scientific discovery. His academic credentials include: Ph.D. in Computer Science (Human-Computer Interaction) from The University of British Columbia under Prof. Maria Klawe, with dissertation nominated for the Governor General’s Gold Medal M.Sc. in Computer Science (Artificial Intelligence) from McGill University under Prof. Renato De Mori B.Sc. in Computer Engineering and Science from Concordia University as Valedictorian with The Most Great Distinction Sedig’s research synthesizes computer science, information science, cognition theory, and game studies to develop frameworks for interactive visual tools (IVTs). He investigates human-data interaction, visual reasoning, and interactivity design to support complex cognitive tasks like medical diagnosis, financial analysis, and scientific exploration. His human-centered approach emphasizes how computational tools and humans form coordinated cognitive systems for optimal task execution. Analysis of his recent publications reveals dominant trends in health informatics applications (drug safety analytics, electronic health records) and foundational work on human-information interaction frameworks. His visual analytics systems consistently bridge theoretical models with practical tools for ontology exploration, document triage, and explainable AI, demonstrating strong interdisciplinary collaboration across medical and computational domains. Key recognitions include: Governor General’s Gold Medal nomination for doctoral research Valedictorian honors at Concordia University As Insight Lab director, Sedig mentors graduate students through courses like Human-Computer Interaction, Information Visualization, and Design of Digital Cognitive Games. His teaching philosophy emphasizes how cognitive technologies mediate human thinking processes in professional and private contexts. While specific grant details aren’t provided, his lab’s sustained output in health analytics and visual interfaces indicates robust research funding. The Insight Lab operates as a collaborative hub for developing and evaluating IVTs, with current projects including VICTORIOUS for document scoping reviews and VISEMURE for multimorbidity analysis. Sedig’s team prioritizes empirical validation of how interaction design affects cognitive load and task efficiency in real-world data-intensive environments.

Elisa Kreissمشاهده پروفایل

استادیار

• Natural Language Processing
• Psycholinguistics
• Human-Computer Interaction
• +۳ مورد دیگر

Elisa Kreiss is an Assistant Professor in the Department of Communication at UCLA, affiliated with the College of Letters & Science. She leads the Coalas Lab (Computation and Language for Society Lab), focusing on advancing understanding of how communicative context shapes language use through natural language processing, psycholinguistics, and human-computer interaction. Her work addresses challenges in image accessibility for visually impaired users, supported by grants from Google, NSF, and Stanford initiatives. Education: Ph.D. in Linguistics, Stanford University (advised by Christopher Potts) Research Interests: Her research bridges AI ethics, image accessibility, and human-centered evaluation of machine learning systems. Key themes include: Generating context-aware image descriptions for accessibility Ethical implications of vision-language models Interpretable AI through causal reasoning Awards: Google Research Awards National Science Foundation Grant Stanford Human-Centered AI Initiative Support Stanford Community Impact Award (2022) Lab & Advocacy: Directs the Coalas Lab, emphasizing inclusive research environments. Advocates for diversity in STEM and accessible technology design.

David Whitneyمشاهده پروفایل

استاد

• Visual Perception
• Cognitive Neuroscience
• Ensemble Perception
• +۶ مورد دیگر

David Whitney is a Professor of Psychology at the University of California, Berkeley , with affiliations in Cognitive Science and Neuroscience . His research focuses on visual perception, particularly how humans process information in cluttered environments through mechanisms like ensemble perception , serial dependence , and perceptual crowding . He employs techniques such as psychophysics, fMRI, and TMS to study these phenomena. Whitney's recent work examines serial dependence in schizophrenia, emotion perception in crowds , and medical image analysis for dermatology and radiology. His studies reveal how the brain uses dynamic predictive templates and motion cues to stabilize perception despite neural processing delays. Publications span Current Biology , Nature Reviews Psychology , and PLoS ONE , with a strong emphasis on interdisciplinary applications of perceptual science. Scientific contributions include foundational studies on visuomotor control , blind spot filling-in , and holistic face processing . His lab investigates perceptual stability across eye movements, spatial localization, and cross-modal interactions. Whitney has received grants such as NIH EY018216 to support his research on motion-dependent visual coding. Detailed information about his work is available on the Whitney Lab website .

Dahlia El-Manstrlyمشاهده پروفایل

مدرس ارشد

• Services Marketing
• Service Recovery and Complaint Management
• Customer Loyalty and Satisfaction
• +۵ مورد دیگر

Dr. Dahlia El-Manstrly is an Associate Professor (Senior Lecturer) in Marketing and Director of Research for the Marketing and Creative & Cultural Industries (MCCI) group at the University of Sheffield Management School. She previously served as Co-Director of the Center for Service Excellence at the University of Edinburgh. Her expertise spans services marketing, with a focus on service recovery, customer loyalty, and international marketing. Education: BSc (First Class Honours) MSc (Huddersfield University) MRes PhD (Glasgow University) AHEA (Advanced HE Academy) Research Interests: Service Recovery and Complaint Management Customer Loyalty and Satisfaction International Marketing in Services Transformative Services and Well-being Tourism Services and Online Travel Communities Awards and Recognition: Highly Recommended Paper Award (AMA SERVSIG, 2014) Three Teaching Excellence Awards (University of Edinburgh) Grants and Supervision: Supervises PhD students on topics like sustainability in fashion and elderly adoption of self-service technology. Recipient of grants including the British Academy Quantitative Skills Award and ESRC Seminar Series funding. Labs/Teams: Leads the MCCI research group at the University of Sheffield Management School.

Giorgia Ramponiمشاهده پروفایل

استادیار

• Artificial Intelligence
• Reinforcement Learning
• Multi-Agent Learning
• +۴ مورد دیگر

Giorgia Ramponi is an Assistant Professor (tenure-track) in Artificial Intelligence for Cyber-Physical Systems at the University of Zurich (UZH), leading the Autonomous Learning and Predictive Intelligence Lab. She holds affiliations with ETH Zurich’s AI Center and Chalmers University of Technology. Previously, she was a postdoctoral researcher at ETH AI Center, sponsored by Google Brain. Her research focuses on machine learning and mathematical modeling, particularly Reinforcement Learning (RL), Multi-Agent Learning, and Imitation Learning. Notable contributions include work on non-cooperative Markov Decision Processes, mean-field games, and batch IRL for multiple intentions. Publications highlight advancements in constrained MDPs, policy optimization, and applications of RL in cyber-physical systems. Awards include the IBM Best Student Award (2016) and a Hassler Research Grant (2024). She advises students on topics ranging from RL theory to social network analysis. Her academic journey includes a PhD (Politecnico di Milano, 2021) and MSc/BSc (La Sapienza, Rome) with honors. She has taught courses on AI, data science, and machine learning, and contributed to open-source projects like GAN_Time_Series.

• Addiction
• Motivation
• Decision-making
• +۲ مورد دیگر

John Monterosso is an Associate Professor of Psychology at the University of Southern California, specializing in addiction, motivation, and decision-making research. His work explores the neurocognitive mechanisms underlying impulse control and reward processing, with particular focus on substance use disorders and behavioral interventions. Monterosso's research integrates behavioral experiments with neuroimaging to examine decision-making processes in addiction contexts. His lab investigates how immediate rewards influence behavior and how cognitive control mechanisms can be harnessed for addiction treatment. Recent work examines the impact of e-cigarette flavors on appeal and sensory perception, obesity medication perceptions, and neural correlates of value representation. With collaborations spanning public health and neuroscience, his publications demonstrate consistent focus on translating basic psychological research into clinical applications. The methodological progression shows increasing sophistication in neuroimaging techniques and large-scale behavioral studies examining substance use patterns across diverse populations.