جست‌وجوی استاد و پژوهشگر

Maja J Matarićمشاهده پروفایل

استاد

• Socially Assistive Robotics
• Human-Robot Interaction
• Assistive Technology
• +۷ مورد دیگر

Maja J Matarić is the Chan Soon-Shiong Chaired and Distinguished Professor of Computer Science at the University of Southern California's Viterbi School of Engineering, with courtesy appointments in Neuroscience and Pediatrics. She serves as founding director of the USC Robotics and Autonomous Systems Center, co-director of the USC Robotics Research Lab, and Principal Scientist at Google DeepMind. Previously, she held leadership roles as USC's interim Vice President of Research (2020-2021) and Vice Dean for Research (2006-2019). Her educational background includes: PhD in Computer Science and Artificial Intelligence from MIT (1994) MS in Computer Science from MIT (1990) BS in Computer Science from University of Kansas (1987) Matarić pioneers Socially Assistive Robotics (SAR) , a field her lab named, focusing on human-robot interaction that provides assistance through social rather than physical support. Her research targets critical health and wellness challenges including post-stroke rehabilitation, autism spectrum disorder therapy, cognitive exercises for Alzheimer's patients, ADHD academic support, and mental health interventions. She develops systems modeling user engagement, personality, and motivation, with extensive real-world deployments in schools, rehabilitation centers, and homes. Analysis of her recent publications reveals dominant themes in cognitive health robotics (2025 CHI paper on LLM-powered elder care), pediatric assistive technology (2025 IDC speech therapy review), and adaptive preference modeling (2025 HRI contrastive learning work). Her research consistently bridges machine learning with human-centered design for vulnerable populations. Major scientific recognition includes: ACM Athena Lecturer Award (2024) ACM Eugene L. Lawler Humanitarian Award (2024) ACM Fellow (2020) Presidential Mentoring Award (2011) Multiple society fellowships (AAAS, IEEE, AAAI) As a dedicated mentor, Matarić has championed underrepresented groups through CRA-W, placing numerous women in faculty positions. She leads USC Viterbi's K-12 STEM Outreach Program serving low-income Los Angeles schools and authored The Robotics Prime for student education. Her research has secured significant funding enabling real-world technology transfer, with documented impact in rehabilitation centers and homes through deployable SAR systems. Her Robotics Research Lab at USC drives innovation in embodied AI, with current projects spanning LLM-integrated elder care robots, ADHD academic companions, and autism therapy systems. The lab emphasizes co-design with end-users and rigorous real-world validation across diverse populations.

Mark Crowleyمشاهده پروفایل

دانشیار

• Reinforcement Learning
• Deep Learning
• Manifold Learning
• +۱۲ مورد دیگر

Mark Crowley is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Waterloo, with a cross-appointment in the Cheriton School of Computer Science. He is a member of the Waterloo Artificial Intelligence Institute (WAII) and the Waterloo Institute for Complexity and Innovation (WICI), and serves as National Secretary of the Canadian Artificial Intelligence Association (CAIAC). His educational background includes a Ph.D. and M.Sc. in Computer Science from the University of British Columbia, where he worked in the Laboratory for Computational Intelligence, and a B.A. in Computer Science from York University. He completed a postdoctoral fellowship at Oregon State University working with Tom Dietterich's machine learning group. Crowley's research focuses on developing dependable and transparent algorithms to augment human decision-making in complex domains with multiple agents, spatial structure, or uncertainty. His work spans Reinforcement Learning , Deep Learning , Ensemble Methods , and Manifold Learning . He frequently collaborates with researchers in applied fields including Computational Sustainability, Sustainable Forest Management, Autonomous Driving, Medical Imaging, and Material Design. His research is motivated by both theoretical opportunities and real-world challenges such as forest fire management, automotive applications, and medical imaging. His recent publications demonstrate a strong focus on addressing challenges in reinforcement learning, particularly around observation costs, multi-agent systems, and causal representation learning. His work on ChemGymRL provides a significant contribution to digital chemistry and material design through reinforcement learning frameworks. The textbook Elements of Dimensionality Reduction and Manifold Learning represents a major contribution to the theoretical foundations of machine learning. Crowley actively supervises graduate students, with recent thesis completions including Shayan Shirahmadi Gale Bagi (PhD, Feb 2025) and Oleksandra Nahorna (MASc, Dec 2024). His lab, UWECEML (Waterloo ECE Machine Learning Lab), focuses on developing new algorithms at the intersection of Machine Learning, Optimization, and Probabilistic Modeling. He teaches courses including ECE 457C (Reinforcement Learning), ECE 657A (Data & Knowledge Modelling & Analysis), and ECE 457B (Fundamentals of Computational Intelligence). His blog Computationally Thinking explores AI, machine learning, and the societal impact of these technologies.

Frank Rudziczمشاهده پروفایل

دانشیار

• Natural Language Processing
• Machine Learning
• Healthcare
• +۱۲ مورد دیگر

Dr. Frank Rudzicz is an Associate Professor in the Faculty of Computer Science at Dalhousie University. His research lies at the intersection of artificial intelligence, natural language processing, and healthcare, with a focus on developing machine learning systems that improve clinical decision-making, patient outcomes, and accessibility in medicine. He holds a BSc from Concordia University (2004), an MEng from McGill University (2006), and a PhD from the University of Toronto (2011). His research interests include Natural Language Processing, Machine Learning, Healthcare, Speech Technologies, Explainable AI, and Fairness in ML. Dr. Rudzicz's recent publications span a wide range of topics, including Alzheimer's detection through speech analysis, surgical outcome prediction, mental health monitoring, privacy in AI, and the application of large language models in clinical settings. His work consistently emphasizes ethical AI, patient privacy, and real-world clinical integration. He has received several awards, including a Best Paper award at EMNLP 2020, a Best Student Paper award at ICASSP 2021, and the ISCA Best Student Paper award in 2013. His research has been published in top-tier journals such as Nature Scientific Reports , JAMA Network Open , IEEE Access , and Frontiers in Human Neuroscience , as well as leading conferences including NeurIPS, ACL, ICML, and Interspeech. Dr. Rudzicz supervises a dynamic research group working on AI for health, with active projects in voice-based diagnostics, ambient clinical documentation, explainable AI for surgery, and wearable-based monitoring for chronic diseases. He collaborates widely across disciplines, including with clinicians, neuroscientists, ethicists, and public health experts. He is also involved in major initiatives such as the Genetics Navigator study and Bridge2AI-Voice, aiming to build ethically sourced, diverse biomedical datasets. His lab actively explores the societal implications of AI in healthcare, including fairness, trust, and resistance to malicious fine-tuning.

Nathan Nunnمشاهده پروفایل

استاد

• Political Economy
• Economic History
• Economic Development
• +۴ مورد دیگر

Nathan Nunn is a Professor at the Vancouver School of Economics at the University of British Columbia. He holds a Canada Research Chair in cultural economics and is affiliated with multiple prestigious research organizations including the Canadian Institute for Advanced Research (CIFAR), the National Bureau of Economic Research (NBER), and BREAD. His office is located in the Iona Building 172 at UBC. Professor Nunn's primary research interests span political economy, economic history, economic development, cultural economics, and international trade. His work focuses on the historical and dynamic processes of economic development, particularly examining how institutions and cultures evolve across societies. He has published extensively on historical factors crucial for economic development, including distrust, gender norms, religiosity, conflict, immigration, state formation, and support for democracy. His contemporary research examines the effects of Fair Trade certification, CIA interventions during the Cold War, foreign aid, school construction, climate shocks, and trade policies, with particular emphasis on how local context influences development policy effectiveness. Nunn's recent publications reveal a strong focus on the relationship between culture, institutions, and economic outcomes. His work increasingly examines how zero-sum thinking affects economic behavior and political divides, the persistence of traditional religious beliefs in Africa, and the historical roots of contemporary economic phenomena. His publications frequently appear in top economics journals including the Quarterly Journal of Economics, Econometrica, American Economic Review, and Science. His scientific contributions have been recognized through fellowships and editorial positions, including serving as an editor at the Quarterly Journal of Economics. He has advised numerous PhD students who have gone on to faculty positions at leading universities worldwide. Professor Nunn actively disseminates his research through various media channels, including podcasts, online courses, and public lectures. His teaching includes courses on economic history, development economics, and political economy, with a particular focus on how historical perspectives inform contemporary economic issues.

Diana Allenمشاهده پروفایل

استاد

• Hydrogeology
• Groundwater resource evaluation
• Hydrogeological modeling
• +۱۲ مورد دیگر

Diana Allen is a Professor in the Department of Earth Sciences at Simon Fraser University, where she leads the Groundwater Resources Research Group (GRRG). Her research focuses on hydrogeology with particular emphasis on groundwater resource evaluation and hydrogeological modeling, with current research on climate change impacts on groundwater systems, groundwater resources in mountainous and coastal regions, and low temperature geothermal systems. Education: B.Sc. Honours, Carleton University, 1986 M.Sc., Carleton University, 1988 Ph.D., Carleton University, 1996 Dr. Allen's research spans several key areas of hydrogeology and water resources. Her work on climate change impacts examines how extreme climate events affect groundwater systems, particularly in mountainous regions. She has developed methodologies for reconstructing historical groundwater levels using tree ring widths to understand long-term drought patterns. Her research on coastal aquifers assesses vulnerability to salinization, while her work in Northeast British Columbia evaluates water security risks associated with shale gas development. She also investigates aquifer-stream connectivity and the impacts of pumping on streamflow. Dr. Allen's publication record shows a strong focus on applied hydrogeology with significant contributions to understanding groundwater responses to climate extremes, drought assessment methodologies, and coastal aquifer vulnerability. Her research combines field studies with numerical modeling across diverse environments from mountainous regions to coastal deltas. Dr. Allen has successfully secured funding from major agencies including NSERC, the Canadian Mountain Network, the Pacific Institute for Climate Solutions, and various BC government ministries. Her research has practical applications for water resource management under climate change. As a dedicated educator and mentor, Dr. Allen supervises numerous graduate students working on cutting-edge hydrogeological research projects across British Columbia and beyond. Her students pursue careers in hydrogeology and environmental geoscience, applying GIS methods and computational hydrogeology to analyze field data.

Yoel Inbarمشاهده پروفایل

دانشیار

• Social Psychology
• Moral Psychology
• Political Ideology
• +۳ مورد دیگر

Yoel Inbar is an Associate Professor at the University of Toronto, affiliated with the Department of Psychology and the Morality, Affect, and Politics (MAP) Lab. His research explores the intersection of moral intuitions, emotions, and political/social beliefs, with a focus on disgust sensitivity and its implications. He also investigates public acceptance of emerging technologies like genetic engineering. Contact: yoel.inbar@utoronto.ca . PhD, Cornell University BA, University of California at Berkeley His research spans moral psychology, political ideology, and behavioral responses to technological innovation. Recent studies employ natural language processing to analyze morality in real-world contexts, such as political discourse and environmental attitudes. The MAP Lab emphasizes interdisciplinary approaches, integrating psychology, behavioral economics, and computational methods to study moral decision-making and its societal consequences. Alumni from the lab include researchers now at institutions like UC Berkeley, University of the Fraser Valley, and Cornell University, reflecting his mentorship of advanced psychological and behavioral science scholars.

Jens Kreitewolfمشاهده پروفایل

عضو هیئت علمی

• Auditory Cognition
• Speech Perception
• Neuroimaging
• +۷ مورد دیگر

Jens Kreitewolf is a Faculty Lecturer in the Departments of Psychology and Mathematics and Statistics at McGill University. He teaches courses in statistics, research methodology, and psychophysics. His research focuses on auditory cognition, speech comprehension, and the neural mechanisms underlying voice perception. Dr. Kreitewolf holds a Ph.D. (Dr. rer. nat.) from Humboldt University of Berlin and completed postdoctoral fellowships at BRAMS and the University of Lübeck. His work combines experimental psychology, neuroimaging, and psychophysics to explore auditory processing challenges in adverse listening conditions. Key interests include how familiarity with a talker’s voice aids comprehension and the impact of hearing impairment on speech perception. Education: M.Sc. in Psychology (Ruhr University Bochum, 2009); Ph.D. in Psychology (Humboldt University of Berlin, 2014). Research Interests: Auditory scene analysis and speech-in-noise processing Voice recognition and familiarity effects Neural correlates of perceptual decision-making Circadian rhythms and perceptual sensitivity Cognitive neuroscience of auditory attention Publications highlight contributions to understanding: Risk factors for depression symptom progression Self-concept clarity in romantic evaluations Neurobiological mechanisms of working memory vulnerability Vestibular symptoms in migraine patients His interdisciplinary approach bridges psychology, statistics, and neuroscience, with applications to clinical populations and sensory processing disorders.

Pourang Iraniمشاهده پروفایل

استاد

• Human-Computer Interaction
• Information Visualization
• Ubiquitous Computing
• +۴ مورد دیگر

Pourang Irani is a Professor and Principal’s Research Chair in Ubiquitous Analytics at the University of British Columbia (Okanagan campus), within the Irving K. Barber Faculty of Science’s Department of Computer Science, Mathematics, Physics and Statistics. Previously, he served at the University of Manitoba for 19 years as a faculty member and Acting Associate Dean of Science. His research focuses on Human-Computer Interaction (HCI), Wearable Computing, and Information Visualization, with an emphasis on designing interactive systems for 'anytime, anywhere' sensemaking using emerging technologies like mixed reality and smart devices. He leads interdisciplinary projects such as the NSERC CREATE grant on Visual and Automated Disease Analytics, training data scientists in health analytics. Education: PhD in Computer Science (University of New Brunswick, 2002), supervised by Dr. Colin Ware. Research Interests: Wearable interfaces (smartwatches, smartrings, and AR/VR) Data visualization for health and pervasive systems Persuasive health technologies and data storytelling Mid-air and hands-free interaction techniques Embodied interaction through social robots Recent Work Trends: Articles emphasize innovations in smartwatch interaction (e.g., bezel-to-bezel gestures), tactile visualizations via skin-dragging, and voice assistant-driven health data queries. Projects like Databiting explore transient personal data exploration, while Data Videos focus on narrative-driven health communication. Grants & Leadership: Principal Investigator of NSERC CREATE Visual and Automated Disease Analytics program. Co-leads UBCO’s Digital Transparency cluster. Active in interdisciplinary teams addressing health informatics and HCI challenges. Labs & Teams: Leads a lab developing prototypes in wearable computing, spatial analytics, and immersive technologies. Collaborates with researchers in medicine, engineering, and data science to translate HCI innovations into practical solutions.

Kajri Jainمشاهده پروفایل

استاد

• Indian Visual Culture and Contemporary Art
• Modern and Contemporary India
• Image Theory
• +۷ مورد دیگر

Kajri Jain is a Professor of Indian Visual Culture and Contemporary Art at the University of Toronto . She holds undergraduate appointments in the Department of Visual Studies (UTM) and graduate appointments in the Department of Art (St. George) , with cross-appointments at the Institute for Cinema Studies and the Centre for South Asian Studies . Education: PhD, Art History and Theory, University of Sydney MA, Art History and Theory, University of Sydney PEP, Visual Communication, National Institute of Design, Ahmedabad Research Interests: Jain’s work explores how images derive meaning not just from their visual content but from their production, circulation, and material use. Her research spans modern and contemporary Indian visual culture , including bazaar icons, monumental statues, theme parks, and representations of nature in religious and popular contexts. She employs ethnographic methods to examine the intersections of religion, politics, commerce, and aesthetics in postcolonial India. Her teaching and writing critically interrogate the legacies of European Romanticism and secular modernism in art history and visual studies. Publications & Themes: Jain has authored two major monographs— Gods in the Time of Democracy (2021) and Gods in the Bazaar (2007)—and numerous essays on topics such as mass reproduction, political iconography, urban nature, and postcolonial aesthetics. Her articles consistently engage with image theory, postcolonial critique, and the sensory politics of caste and religion in visual culture. Scientific Awards: No specific awards listed in the provided text. Advising & Affiliations: While no specific students are named, Jain teaches a wide range of undergraduate and graduate courses and is affiliated with multiple research centers at the University of Toronto. Her work bridges departments and disciplines, fostering interdisciplinary dialogue in South Asian visual studies. Labs & Teams: Jain is associated with the Graduate Department of Art History and the Centre for South Asian Studies at the Munk School of Global Affairs and Public Policy, University of Toronto.

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.

Roxane DE LA SABLONNIÈREمشاهده پروفایل

استاد

• Social Psychology
• Cultural Identity
• Intercultural Relations
• +۵ مورد دیگر

Roxane de la Sablonnière is a Full Professor in the Department of Psychology at the University of Montreal, affiliated with the Faculty of Arts and Sciences. She directs the CSI—Laboratory on Social Change and Identity and is a member of the CÉCD—Centre for the Study of Democratic Citizenship and the CIRCA—Interdisciplinary Research Centre on the Brain and Learning. Her research focuses on social change, cultural identities, intercultural relations, and the psychological impacts of crises like the COVID-19 pandemic. She has advised over 20 graduate students and led numerous research projects funded by agencies such as the Fonds de recherche du Québec (FRQ) and the Social Sciences and Humanities Research Council (SSHRC). Education & Research Focus : Her work examines how rapid societal changes affect individuals, particularly in contexts of immigration, policy shifts (e.g., multiculturalism, secularism), and Indigenous communities. Recent studies include longitudinal analyses of pandemic-related behaviors, identity integration processes, and the role of cognitive strategies in managing conflicting identities. Grants & Collaborations : She leads projects like "S'engager pour mieux aller!" (FRQS-funded) and contributes to strategic networks such as the Centre pour l'Étude de la Citoyenneté Démocratique (CÉCD). Her research integrates psychology with sociology, leveraging mixed methods (e.g., text mining, longitudinal tracking) to address societal challenges. Labs & Teams : As CSI director, she oversees projects on social change dynamics and identity reconstruction. Her work bridges academic and applied domains, influencing policy debates on integration, public health, and community resilience.

Marco Pedersoliمشاهده پروفایل

استادیار

• Computer Vision
• Machine Learning
• Deep Learning
• +۴ مورد دیگر

Marco Pedersoli serves as an Assistant Professor at École de technologie supérieure (ETS) in Montreal since February 2017, where he leads research in computer vision and machine learning. His work focuses on reducing computational costs and annotation requirements for deploying vision algorithms on embedded devices, positioning ETS at the forefront of Montreal's AI ecosystem. His academic journey includes: Ph.D. from Autonomous University of Barcelona (UAB) under Jordi Gonzàlez and Juan José Villanueva Post-doctoral research at INRIA Grenoble with Cordelia Schmid and Jakob Verbeek (2015-2016) Research at KU Leuven with Tinne Tuytelaars (2012-2015) Dr. Pedersoli's research tackles deep learning bottlenecks through weakly-supervised methodologies and computational efficiency innovations . His three core projects address: Reduced Supervision : Developing weakly/semi-supervised learning for images, video, audio and text Exploration Learning : Optimizing data selection in unstructured environments Efficient Computation : Accelerating deep learning training and inference These efforts enable vision algorithms to run on resource-constrained portable devices. Publication trends (2014-2022) reveal consistent focus on weak supervision (60% of works) and computational efficiency (30%), with recent expansion into medical imaging and multimodal emotion recognition. Key venues include CVPR, ICCV, NeurIPS and ECCV. His accolades include: Best Paper Award at ICIAR 2019 NVIDIA Titan X Pascal hardware donation Dr. Pedersoli actively mentors 18 graduate students across PhD and MSc programs, with notable placements at Huawei and Radio Canada. His lab secures competitive tax-free funding for projects with international collaborations, including Element AI and European institutions. Current openings emphasize Python/C++ proficiency and deep learning expertise. He leads a dynamic research group at ETS developing open-source tools for Roi-Pooling, weakly-supervised detection, and 3D object recognition, maintaining active GitHub repositories with community contributions. Recent WACV 2023 acceptances demonstrate ongoing productivity following medical leave.

Raha Hassanمشاهده پروفایل

استادیار

• Developmental Psychology
• Social and Emotional Wellbeing
• Temperament
• +۷ مورد دیگر

Dr. Raha Hassan is an Assistant Professor in the Department of Psychology at Western University and the director of the Social and Emotional Wellbeing (SEW) Lab. She holds a PhD in Clinical Psychology from McMaster University and completed her predoctoral residency at the Royal Ottawa Mental Health Centre. Her research focuses on the role of temperament in social and emotional wellbeing, particularly in children's interactions and interpretations of social environments. She employs a developmental framework and emphasizes naturalistic observation of behavior, with an interest in cultural influences on these processes. Dr. Hassan’s work integrates psychophysiological measures such as EEG studies to explore brain mechanisms underlying shyness and self-regulation. Her articles investigate generational trends in shyness, the relationship between inhibitory control and social behavior, and the physiological underpinnings of social anxiety. Key themes include the double-edged nature of self-regulation, contextual factors affecting temperament, and the interplay between biology and environment in developmental outcomes. No scientific awards are explicitly mentioned in the provided text. Dr. Hassan’s lab, the SEW Lab, focuses on advancing understanding of social-emotional health through interdisciplinary methods.

Shannon M Bellمشاهده پروفایل

استاد

• Political Theory
• Cyber Politics
• Aesthetics and Politics
• +۳ مورد دیگر

Shannon Bell is a Professor in Political Science at York University, working as a performance philosopher who integrates digital video technology with political theory. Her research examines intersections of cyberpolitics, aesthetics, and power through projects like 'Shooting Theory', which visualizes philosophical concepts through film. She has authored books including 'Fast Feminism' and 'Reading, Writing and Rewriting the Prostitute Body'. Current SSHRC-funded projects explore bioart and robotic art extremes, with residencies at Symbiotica (UWA) and international exhibitions. She teaches courses on modern political thought, technopolitics, and aesthetics. Educational background includes a PhD in Political Science from York University. Professional leadership includes directing the Resource Centre for Public Sociology.

Soosan Beheshtiمشاهده پروفایل

استاد

• Signal Processing
• Statistical Signal Processing
• Information Theory
• +۶ مورد دیگر

Soosan Beheshti is a Professor and Program Director in the Department of Electrical, Computer, and Biomedical Engineering at Toronto Metropolitan University. She holds a B.S. from Isfahan University of Technology and M.S./Ph.D. from MIT. Her research focuses on signal processing, statistical learning, and information theory, with applications in biomedical systems, data denoising, and system modeling. She has received awards such as the Dean's Teaching Award (2010) and the EECS Carlton E. Tucker Award (1998). Education: B.S., Electrical Engineering, Isfahan University of Technology (1996) M.S. & Ph.D., Electrical Engineering, MIT (2002) Research Interests: Statistical Signal Processing Information Theory Data Denoising & Compression System Modeling & Control Machine Learning Applications Awards: Dean's Teaching Award (2010) Gold Paper Award (PacRim 2009) Best Paper Award (Remote Sensing 2008) MIT Teaching Excellence Award (1998) Teaching: Courses include Signals and Systems, Control Systems, and Statistical Inference. She has supervised numerous graduate students and postdocs in her Signal and Information Processing (SIP) Lab. Labs/Teams: Director of the SIP Lab, conducting research in signal processing, information theory, and biomedical applications. Collaborates with industry partners like Myant Inc. and Huawei Technologies.