Find Academic Supervisors

Niels PinkwartView profile

Professor

• Educational Technologies
• Artificial Intelligence in Education
• Learning Analytics
• +5 more

Prof. Dr. Niels Pinkwart is a Professor of Computer Science at Humboldt University Berlin and Scientific Director of the Educational Technology Lab at the DFKI Berlin Project Office. His work focuses on AI-driven educational technologies, including roles as spokesperson for the interdisciplinary ProMINT program and leadership positions in the German Society for Informatics' Learning Analytics and Educational Technologies working groups. Education: Computer Science and Mathematics at University of Duisburg Doctorate: Collaborative learning technologies (2005) Postdoctoral: Carnegie Mellon University's Human-Computer Interaction Institute Research interests span educational technologies , human-AI collaboration , and digital learning systems , with applications in serious games for ASD , creativity assessment , and healthcare informatics . His publications (over 200) demonstrate expertise in scaling educational mentoring through AI. Current affiliations include the Einstein Center Digital Future and Weizenbaum Institute for the Networked Society. He has led projects like AZUKIT (AI tutors for performance assessment), tech4comp (scalable mentoring processes), and AI.EDU Lab (AI in higher education).

Chelsey HoldenView profile

Associate Professor

• Counselor Education
• Marriage and Family Therapy
• Mental Health Counseling
• +3 more

Dr. Chelsey Holden is an Associate Professor of Child and Family Sciences at the School of Child and Family Sciences, University of Southern Mississippi. She holds licenses as a Licensed Marriage and Family Therapist (LMFT) and Licensed Professional Counselor (LPC), with certifications in Telemental Health and National Certification as a Counselor. Her academic journey includes a Ph.D. in Counselor Education (2017) from Mississippi State University, an MS in Marriage and Family Therapy (2013) from the University of Southern Mississippi, and a BS in Human Environmental Sciences (2011) from Troy University. Dr. Holden's research focuses on wellness for helping professionals, college students, and romantic couples, with emphasis on financial wellness, mental-physical health connections, and digital training methods. Her recent work explores imposter syndrome, perfectionism, and telehealth advancements, reflecting interdisciplinary interests in psychology, family systems, and technology. Her publications span journals like Contemporary Family Therapy and Journal of College Student Retention, addressing burnout, resilience, and behavioral dynamics in therapeutic and familial contexts. She teaches courses in counseling ethics, family theories, and marriage therapy, while maintaining affiliations with professional bodies such as the Mississippi Association for Marriage and Family Therapy.

• AI Ethics
• Robotics Ethics
• Digital Ethics
• +2 more

Prof. Dr. Aimee van Wynsberghe is the Alexander von Humboldt Professor for Applied Ethics of Artificial Intelligence at the University of Bonn. She serves as Director of the Institute for Science and Ethics (IWE) and founded the Bonn Sustainable AI Lab. Her affiliations include the German National Academy of Sciences Leopoldina, the European Commission's High-Level Expert Group on AI (2018-2020), and advisory roles at Deloitte, the World Economic Forum, and the Konrad Zuse Schools for AI Excellence. . Education PhD in Applied Ethics, University of Twente (2012) M.A. in Bioethics, Erasmus Mundus (2008) M.A. in Applied Ethics, Catholic University of Leuven (2007) B.Sc. in Honours Cell Biology, University of Western Ontario (2006) Research Interests focus on integrating ethical frameworks into AI and robotics design. Key areas include AI ethics, robotics ethics, digital ethics, care ethics, and value-sensitive design. She pioneered ethical guidelines for care robots and explores systemic risks in AI sustainability. Publication Trends show a shift toward sustainability challenges in AI, analyzing hidden environmental costs, post-colonial biases in AI standards, and structural ethical frameworks. Her work bridges philosophy, technology, and policy to address global AI impacts. Scientific Awards L'Oréal UNESCO For Women In Science Award (2018) Grants include a 3.8M EUR Mercator Foundation grant (2022), 3.5M EUR Humboldt Professorship (2021), NWO Gravitation Grant (2020), and others. She advises governments and institutions on AI ethics and co-founded the Foundation for Responsible Robotics. Labs & Teams : She leads the Bonn Sustainable AI Lab and has directed the Artificial Intelligence Lab at TU Delft. Her work involves interdisciplinary collaborations, including the interdisplinary task force at Aarhus University (2025).

Malini GuhaView profile

Associate Professor

• Migration Studies
• Cinema and Media Studies
• World Cinema
• +5 more

Malini Guha is an Associate Professor of Film Studies at Carleton University , cross-appointed to the Institute for Studies in Art and Culture and affiliated with Migration and Diaspora Studies . She holds the Ruth and Mark Phillips Professorship (2025-2027), focusing on geographical thinking across disciplines. Education: B.A. (University of Toronto), M.A. (York University), PhD (University of Warwick) Research Interests : Guha's work spans cinema and the city , diasporic/postcolonial cinema , public projection art , and ciné-geography . Recent projects include SSHRC-funded research on traction, flight, and becoming in moving images. Selected Publications : Author of From Empire to the World: Migrant London and Paris in the Cinema (2015) and co-editor of London as Screen Gateway (2023). Her articles appear in Feminist Media Histories , Routledge Companion to Media and the City , and Canadian Journal of Film Studies . Scientific Awards : Ruth and Mark Phillips Professorship (2025-2027) FASS Mid-Career Research Grant (2021) SSHRC Insight Development Grant (2023-2025) Collaborative Work : Co-organized Carleton’s Racialized and Indigenous Faculty Alliance (2022-2024), co-taught interdisciplinary course on Race and Representation in the Arts (2023), and collaborates with artist Neven Lochhead on projects like Something Happened (2024).

Florian ShkurtiView profile

Assistant Professor

• Robotics
• Machine Learning
• Computer Vision
• +6 more

Florian Shkurti is an Assistant Professor in the Department of Computer Science at the University of Toronto Mississauga (UTM), affiliated with the UofT Robotics Institute, Vector Institute, and Acceleration Consortium. His research focuses on robotics, machine learning, and computer vision, emphasizing safe and effective autonomous systems in dynamic environments. He directs the Robot Vision and Learning (RVL) lab, exploring areas like environmental monitoring, autonomous navigation, and mobile manipulation. Research Interests: His work spans robotics, machine learning, and computer vision. Key areas include robot perception, planning under uncertainty, safe exploration, imitation learning, and applications in field robotics, autonomous vehicles, and chemistry lab automation. He develops methods enabling robots to perceive, reason, and act safely in collaboration with humans. Publications: Recent work includes advancements in safe multitask learning, interactive crowd navigation, and diffusion models for trajectory planning. His research bridges theoretical foundations with real-world applications in environmental science and autonomous systems. Affiliations: Faculty Member, UofT Robotics Institute; Faculty Affiliate, Vector Institute; Faculty Member, Acceleration Consortium. He also holds positions at UTM's Mathematical & Computational Sciences department. Teaching: Courses include Imitation Learning for Robotics, Neural Networks, and Mobile Robotics. He emphasizes hands-on experience with autonomous systems through projects involving RC cars and simulation tools. Labs & Teams: Leads the RVL lab, collaborating on projects like RoboCulture (automated biological experimentation) and SICNav (safe crowd navigation systems). The lab focuses on cross-disciplinary robotics solutions for real-world challenges.

Devi ParikhView profile

Associate Professor

• Computer Vision
• Natural Language Processing
• AI for Creativity
• +3 more

Devi Parikh is an Associate Professor at the School of Interactive Computing, Georgia Institute of Technology, and a Research Director at Meta’s FAIR lab. Her research focuses on generative models, AI for creativity, computer vision, and natural language processing. Education: B.S. in Electrical and Computer Engineering from Rowan University (2005), M.S. and Ph.D. in Electrical and Computer Engineering from Carnegie Mellon University (2007, 2009). Research interests include embodied AI, human-AI collaboration, and creative applications of AI. She has held visiting positions at Cornell, MIT, CMU, and others. Awards include NSF CAREER Award, IJCAI Computers and Thought Award, and multiple fellowships. Led development of Habitat , a platform for embodied AI research, and contributed to the Open Catalyst Project for renewable energy storage.

• Digital Communication
• Multimodal Theory
• Interdisciplinary Methodologies
• +3 more

Carey Jewitt is a Professor of Technology and Learning at UCL Knowledge Lab, part of the Department of Culture, Communication and Media at the UCL Institute of Education (IOE). She also serves as Chair of the UCL Collaborative Social Science Domain. Her research focuses on how digital technologies shape interaction and communication, emphasizing interdisciplinary methodological innovation and multimodal theory development. She leads the InTouch project, an ERC Consolidator Award investigating the social implications of digital touch technologies for future communication. She has secured funding from the ERC, ESRC, EPSRC, and the British Academy for interdisciplinary research projects. Carey co-founded the journals Multimodality & Society and Visual Communication (both published by SAGE). Her work appears in journals like New Media & Society and Information, Communication & Society , alongside her 2020 book on digital touch communication. Her research trends emphasize the intersection of technology, communication, and sociology, with recent work exploring multimodal interaction, digital touch, and sociotechnical systems. Awards include the prestigious ERC Consolidator Award. Carey has advised numerous interdisciplinary projects and led grants from major funders. Her work is affiliated with UCL Knowledge Lab and the InTouch initiative, focusing on collaborative social science and innovative digital methodologies.

Shinji WatanabeView profile

Associate Professor

• Automatic Speech Recognition
• Speech Enhancement
• Spoken Language Understanding
• +3 more

Shinji Watanabe is an Associate Professor at Carnegie Mellon University's Language Technologies Institute and a Courtesy Professor in the Electrical and Computer Engineering department. He holds a Ph.D. (Dr. Eng.) from Waseda University, Japan, and has held research roles at NTT Communication Science Laboratories, Mitsubishi Electric Research Laboratories (MERL), and Johns Hopkins University. His research focuses on automatic speech recognition, speech enhancement, and machine learning for speech processing. Watanabe has published over 300 peer-reviewed papers and received the Best Paper Award at IEEE ASRU 2019. His work emphasizes robust speech processing in challenging environments, multilingual models, and neural audio codecs. He leads the ESPnet toolkit development for end-to-end speech processing systems and contributes to technical committees like IEEE SLTC and APSIPA SLA. Recent research trends include streaming speech systems, universal speech enhancement (URGENT challenges), and fusion of discrete speech units with self-supervised representations. He explores scalable speech foundation models through benchmarks like ML-SUPERB 2.0 and investigates cross-modal audio-visual processing in challenges like MISP 2025. Education : B.S., M.S., Ph.D. (Waseda University) Affiliations : CMU Language Technologies Institute, CMU ECE, Former roles at MERL and Johns Hopkins Key Projects : ESPnet, OpenWhisper-Style Models, URGENT Challenge Frameworks

Nancy PollardView profile

Professor

• Computational Neuroscience
• Computer Graphics
• Robotics
• +4 more

Nancy Pollard is a Professor at Carnegie Mellon University, affiliated with both the Robotics Institute and the Computer Science Department. Her research focuses on understanding physical interaction with the environment through robotics and computer graphics, particularly in areas like dexterous manipulation, human motion analysis, and soft robotics. She explores how human examples can inform robot control policies and create natural-looking animations. Her work bridges robotics and graphics to solve challenges such as optimizing motion for humanoid robots and improving the realism of animated hands. Key projects include developing fast physically plausible motion techniques, studying hand motion complexity, and creating intuitive tools for modeling hand-object interactions. She also investigates the physical correctness thresholds in graphics and the design of affordable soft robotic hands for real-world applications like agriculture. Recent publications highlight advancements in motion retargeting for anthropomorphic manipulations, co-optimization of soft robotic hand design and control, and frameworks for sensor placement in soft hands. Her research emphasizes human-inspired approaches to robotics and the application of biomechanical insights to improve robotic dexterity. Pollard advises students such as Arjun Lakshmipathy and collaborates on projects involving both academic and industrial applications. Her work has been supported by grants focused on robotics design and simulation-based manipulation capture.

• Audio Signal Processing
• Spatial Audio Technology
• Medical Engineering
• +3 more

Craig Jin is an Associate Professor at the University of Sydney, leading the CARlab (Computing and Audio Research Laboratory) and Spatial Audio Research initiatives within the School of Electrical and Computer Engineering. He holds a BS from Stanford University, an MS from Caltech, and a PhD from the University of Sydney. His work focuses on immersive audio technologies, biomedical signal processing, and assistive technologies for sensory augmentation. Research interests include spatial audio reproduction, binaural processing, acoustic sensing for accessibility, and machine learning applications in signal processing. Key contributions span HRTF interpolation, noise reduction algorithms, and acoustic touch systems for the visually impaired. Recent projects include real-time MRI analysis of vocal tract dynamics and sparse recovery techniques for sound field reconstruction. His publications span over 150 peer-reviewed articles in journals like IEEE Transactions on Audio, Speech, and Language Processing, and conferences such as ICASSP. He advises four current PhD/Master’s students on projects like predictive gesture tracking, voice disorder classification, and magnetic resonance imaging techniques.

T.L. TaylorView profile

Professor

• Online Gaming Culture
• Sociology of Technology
• Critical Internet Studies
• +4 more

T.L. Taylor is a Professor of Comparative Media Studies at MIT, affiliated with the School of Humanities, Arts, and Social Sciences. She holds the Margaret MacVicar Faculty Fellow distinction and directs the MIT Game Lab. Her expertise spans online gaming culture, sociology of technology, and digital media studies. Taylor’s research bridges qualitative methods with critical analyses of virtual worlds, esports, and live-streaming platforms. Education: M.A. (1997) and Ph.D. (2000) from Brandeis University; B.A. (1990) from UC Berkeley; community college graduate (Chaffey, 1988). She has taught courses on critical internet studies, qualitative methods, and gaming at MIT. Taylor co-founded the non-profit AnyKey and served on Twitch’s Safety Advisory Council (2020–2024), advocating for inclusive gaming environments. Research interests include digital culture, ethnography of online spaces, and the socio-technical dynamics of games. Her award-winning book Watch Me Play: Twitch and the Rise of Game Live Streaming (2018) explores live-streaming’s cultural impact. She also authored Raising the Stakes (2012) on esports professionalization and Play Between Worlds (2006) on MMOG communities. Awards include the 2019 MacVicar Faculty Fellow for undergraduate teaching excellence and the ASA CITAMS Book Award. Her work intersects academia and industry, with consulting roles at Microsoft Research and contributions to policy discussions at the White House and International Olympics Committee. Taylor’s current projects include studies on play in curated environments like Disney parks and the evolving socio-technical assemblages of theme parks. She advises on civic initiatives and regularly publishes on esports diversity, platform moderation, and digital cultural practices.

Robert DickView profile

Professor

• Embedded Systems
• Learning Dynamics
• Efficient Machine Learning
• +6 more

Robert Dick is a Professor in the Department of Electrical Engineering and Computer Science at the University of Michigan, part of the College of Engineering. He previously held roles as Associate Professor at Northwestern University and Visiting Professor at Tsinghua University. He earned his Ph.D. from Princeton University and a Bachelor's degree from Clarkson University. His research focuses on Embedded Systems, Learning Dynamics, Efficient Machine Learning, Privacy, and Censorship Resistance. Key themes include defining problems with correct costs/constraints, broadening access to information technology, mitigating negative tech impacts, and solving inference problems with limited resources. He leads the Embedded Systems Graduate Program and is a member of the Michigan Integrated Circuits Laboratory (MICL). His work spans thermal management, energy-efficient computing, and low-power wireless networks. Notable contributions include innovations in embedded system design, machine vision frameworks, and sensor networks. Courses taught include EECS 507 (Embedded Systems Research), EECS 373 (Embedded System Design), and ENGR 100 (Autonomous Systems). His recent publications emphasize AI model analysis, energy-efficient networks, and environmental sensing. Projects include MemX (attention-aware wearable tech) and LoRa-based LPWAN protocols. Dick co-founded Stryd, a company commercializing embedded systems innovations.

Iro ArmeniView profile

Assistant Professor

• Computer Vision
• 3D Scene Understanding
• Mixed Reality
• +3 more

Dr. Iro Armeni is Assistant Professor of Civil and Environmental Engineering at Stanford University, leading the Gradient Spaces research group. Her interdisciplinary research bridges architecture, civil engineering, and computer vision to develop data-driven methods for sustainable and adaptive built environments. Professor Armeni's work focuses on creating gradient environments that blend physical and digital realities through mixed reality technologies. She develops computational methods for 3D scene understanding, generative design, and adaptive spaces that respond to human needs. Her research integrates AI with architectural design to improve sustainability, inclusivity, and reusability of built spaces. Current projects include 3D scene graph representations, automated BIM modeling from visual data, and neuro-symbolic approaches for design optimization. She has developed tools like HoloLabel (AR semantic labeling) and SemSpray (VR annotation) for construction information management. Professor Armeni holds a PhD from Stanford University, supported by a Google PhD Fellowship, and completed postdoctoral research at ETH Zurich with an ETH Fellowship. She teaches courses on Computer Vision for the Built Environment and Mixed Reality applications.

• Human-Computer Interaction (HCI)
• Health Informatics
• Personal Informatics
• +3 more

Christina Chung is an Assistant Professor in the Department of Computational Media at the University of California, Santa Cruz (UCSC). Her research focuses on personal informatics, health & wellbeing in interpersonal contexts, and human-computer interaction (HCI). She has previously been affiliated with the University of Washington (UW) and Indiana University, evidenced by her emails at those institutions. Her work explores topics such as goal-setting behaviors in technology-mediated environments, dining-out challenges for individuals with food hypersensitivities, and collaborative health practices between patients and healthcare providers. Key research interests include behavioral design, user experience (UX) in healthcare systems, and the intersection of technology with social behavior. She has published in journals like the International Journal of Human-Computer Studies and the ACM CHI Conference proceedings. Her studies often involve participatory design approaches to address real-world challenges, such as improving restaurant safety protocols for allergy sufferers or enhancing patient-doctor data-sharing practices. Chung collaborates with interdisciplinary teams, including the Design Use Build group at UW and the Proactive Health Lab at Indiana University. Her research bridges academic and applied contexts, aiming to create technologies that support long-term health behaviors and interpersonal well-being.

Miao ZhengjieView profile

Assistant Professor

• Database Systems
• Data Management
• Data Curation and Integration
• +3 more

Miao Zhengjie serves as an Assistant Professor in the School of Computing Science at Simon Fraser University (SFU), joining in October 2023 after a research scientist position at Megagon Labs. His work centers on enhancing data science pipelines through innovations in database systems and artificial intelligence. His academic foundation includes: Ph.D. in Computer Science from Duke University (2022) M.S. in Computer Science from Columbia University (2016) B.S. in Computer Science and Technology from Peking University (2015) Dr. Miao's research spans Database Systems , Data Management , Data Curation , and Data Provenance , with emphasis on AI-driven solutions for data pipeline efficiency. His methodology bridges theoretical database concepts with practical data science applications through novel algorithm development. Analysis of his 15 most recent publications reveals persistent focus areas: query explanation systems (35% of works), data augmentation frameworks (27%), and human-AI collaboration tools (20%). These contributions appear consistently in premier venues including SIGMOD, VLDB, and CHI, demonstrating methodological evolution from foundational query debugging (2019) to LLM-integrated annotation systems (2024). He actively participates in the SFU Data Science Research Group , contributing to interdisciplinary initiatives in large-scale data processing. Current information indicates no formal advisees or grant details are publicly documented in his institutional profile.