Machine perception Professors and Supervisors | ApplySharif

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Dominic AbramsView profile

Professor

University of KentUnited Kingdom

Professor Dominic Abrams is a leading academic in Social Psychology and Director of the Centre for the Study of Group Processes at the School of Psychology, University of Kent . His research focuses on group processes , intergroup relations , and social cohesion , with applications to prejudice reduction , ageism , and organizational identity . Current PhD students: Kimberly Sequeira, Jon Bowman, Alessia Bacigalupo Past PhD students: Ben Davies, Katie Goodbun, Maria Heering, Zafer Ozkan, Hilal Özkececi His work spans social identity theory , age stereotypes , and collective action , often intersecting with policy through collaborations with UK government bodies (DWP, MHCLG, Cabinet Office) and charities (Age UK, Belong, Anne Frank Trust). Recent publications analyze volunteering’s role in social cohesion , vaccine hesitancy , and honor values as identity content . Key grants: £500,000 (British Academy), £71,000 (Nuffield Foundation), €166,294 (European Commission FP7) Awards: OBE (2023), British Psychological Society Presidents’ Award, SPSSI Distinguished Contribution Award He co-edits the journal Group Processes & Intergroup Relations and leads the British Academy’s Understanding Communities and Social and Cultural Infrastructure programs, alongside advising on national surveys for ONS and the Equality and Human Rights Commission.

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Scott NelsonView profile

Associate Professor

Pompeu Fabra UniversitySpain

Scott Nelson is an Associate Professor of Finance at the University of Chicago Booth School of Business. His research bridges consumer credit markets, regulatory frameworks, and behavioral economics, with a focus on how information asymmetries and algorithmic decision-making shape market outcomes. He has contributed to understanding the impacts of the 2009 CARD Act, eviction protections in housing markets, and fairness in credit scoring systems. PhD in Economics, Massachusetts Institute of Technology BA (summa cum laude) in Economics and Mathematics, Yale College Nelson's work employs diverse data sources, including credit reports, court filings, and tax records, combined with structural models to analyze consumer and firm behavior. Key themes include regulatory efficiency, validity disparities in predictive models, and the welfare implications of policy interventions. His articles reveal trends in algorithmic regulation (2025), eviction dynamics (2025), credit scoring disparities (2024), and public finance impacts on Chinese real estate (2023). These publications highlight interdisciplinary methodologies integrating economics, law, and data science. Scientific awards include the AQR Top Finance Graduate Award (2018) and National Science Foundation Graduate Research Fellowship. He has held postdoctoral roles at the Consumer Financial Protection Bureau/Princeton University and visiting research positions at the Federal Reserve Bank of Boston.

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Amir ShmuelView profile

Professor

McGill UniversityCanada

Amir Shmuel is a Professor at McGill University's Faculty of Medicine, holding appointments in the Department of Neurology and Neurosurgery, Department of Biomedical Engineering, and Department of Physiology. He serves as Director of the Brain Imaging Signals Lab and Core Faculty at the McConnell Brain Imaging Centre of the Montreal Neurological Institute. His leadership includes chairing the 2018 International Society for Brain Connectivity conference and securing an $18.7M Canada Foundation for Innovation grant for Quebec's first large-bore 7 Tesla MRI scanner. Dr. Shmuel's research focuses on understanding neuronal mechanisms underlying functional brain imaging signals and visual information processing. His integrative approach combines fMRI, optical imaging, multi-channel neurophysiological recordings, and optogenetics across multiple spatial and temporal scales. Current research priorities include resting-state functional connectivity mechanisms, cortical lamina-resolved neurophysiology, and computational modeling of brain signals. His lab emphasizes parallel model development with experimental data acquisition. Recent publications demonstrate strong trends in multimodal neuroimaging integration, with emphasis on high-resolution fMRI techniques (especially 7T applications), resting-state connectivity analysis across species, and computational modeling of neurovascular coupling. Key subfields include laminar-specific activity mapping, artifact detection in medical imaging using deep learning, and cross-species functional connectivity frameworks. Dr. Shmuel's research is currently funded by the Canadian Institutes of Health Research (CIHR), Natural Sciences and Engineering Research Council of Canada (NSERC), and the US Department of Defense. His lab maintains active collaborations through initiatives like the International Society for Brain Connectivity and the PRIME-DE database consortium. Operating within the Brain Imaging Signals Lab at the Montreal Neurological Institute, Shmuel's team develops and applies advanced multimodal techniques including simultaneous fMRI-electrophysiology, voltage-sensitive dye imaging, and computational modeling frameworks. The lab maintains strong ties with the McConnell Brain Imaging Centre and participates in major open-science initiatives including the Tanenbaum Open Science Institute.

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John BaslView profile

Associate Professor

Harvard UniversityUnited States

John Basl is an Associate Professor of Philosophy at Northeastern University and Associate Director of the Northeastern Ethics Institute, where he leads initiatives in AI and data ethics. He holds affiliate roles at Khoury College of Computer Science, the Institute for Experiential AI, and Harvard's Edmond and Lily Safra Center for Ethics. His research focuses on applied ethics, particularly in AI, machine learning, data ethics, and environmental ethics. He is the author of The Death of the Ethic of Life (Oxford UP) and has contributed to interdisciplinary projects on AI governance, including the NSF-funded AI & Data Ethics (AIDE) Graduate Training Program and the National Internet Observatory. His work explores ethical challenges posed by emerging technologies, such as moral obligations to AI systems, transparency in automated decision-making, and the ethical implications of autonomous vehicles. Basl’s research also engages with environmental ethics, addressing questions about species partiality, ecological justice, and the moral status of non-human entities. He actively collaborates with technologists, policymakers, and ethicists to ensure ethical considerations are integrated into technological development. His media engagements include talks on AI ethics at institutions like the University of Toronto and the Web Summit, and articles in outlets like Aeon Magazine. Current projects include grants focused on training the next generation of AI ethics scholars and analyzing the societal impacts of generative AI. Basl advocates for accessible, interdisciplinary approaches to ethics in technology, emphasizing practical solutions to real-world challenges.

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Jessica FjeldView profile

Lecturer

Harvard UniversityUnited States

Jessica Fjeld is a Clinical Lecturer at Harvard Law School and Managing Director of the De|Center, an initiative addressing digital authoritarianism. She is affiliated with the Berkman Klein Center for Internet & Society and previously served as Assistant Director of the Cyberlaw Clinic. Her work focuses on AI governance, digital rights, and the intersection of technology with human rights and creativity. Fjeld holds a JD from Columbia Law School, an MFA in Poetry from UMass, and a BA from Columbia University. Affiliations: Harvard Law School, Berkman Klein Center, Cyberlaw Clinic Roles: Clinical Lecturer, Managing Director (De|Center), Legal Scholar Research Interests: AI ethics and governance frameworks Content moderation challenges for marginalized communities Legal aspects of AI-generated art and intellectual property Corporate accountability in tech sectors Freedom of expression in digital spaces Key Projects: Principled Artificial Intelligence Project (mapping global AI ethics principles) Online Identity Help Center (supporting marginalized users in content moderation disputes) Advocacy against facial recognition misuse in Boston Awards: Hamilton Fellow & James Kent Scholar (Columbia Law School) Poetry Society of America Recognition 92nd Street Y/Boston Review Discovery Prize

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Erik SchemeView profile

Associate Professor

University of New BrunswickCanada

Erik Scheme is an Associate Professor in the Department of Electrical and Computer Engineering at the University of New Brunswick (UNB), and serves as Associate Director of the Institute of Biomedical Engineering (IBME). He holds a PhD and is a Professional Engineer (PEng). His roles include advising the Dr. J. Herbert Smith Centre for Technology Management and Entrepreneurship, emphasizing innovation in biomedical technologies and healthcare systems. His research focuses on advanced human-machine interaction through biomedical engineering, with a strong emphasis on myoelectric prosthetics, wearable sensors, and machine learning applications. Key areas include improving neuroprosthetic control via incremental learning, gait analysis using underfoot pressure sensors, and developing robust EMG-based gesture recognition systems. His work bridges clinical needs with technological innovation, addressing challenges in rehabilitation, activity monitoring, and user-centric design. Recent publications highlight advancements in adaptive control systems, sensor fusion, and ethical data practices in healthcare. His contributions span both theoretical frameworks (e.g., self-supervised learning models) and applied technologies (e.g., gold-plated 3D-printed electrodes). Dr. Scheme collaborates across disciplines, integrating robotics, signal processing, and clinical validation to create impactful solutions. His lab, affiliated with IBME, actively explores emerging areas like exhaled breath analysis for disease detection and federated learning in healthcare data analytics.

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Paul H. WhiteView profile

Associate Professor

University of UtahUnited States

Paul H. White is an Associate Professor of Social Psychology in the Department of Psychology at the University of Utah, where his research centers on the three 'P's': persuasion, prejudice, and performance, investigating motivational drivers of human behavior. His educational background: B.A., Berea College (1989) Ph.D., Northeastern University (1993) Post-doctoral training, Ohio State University (1993-1995) Dr. White's persuasion research examines how source/target characteristics (race, gender, sexual orientation) impact message processing and attitude change, including 'stealing thunder' dynamics. His prejudice work investigates subtle bias through intergroup models incorporating stigmatized groups' perspectives, while his performance studies explore evaluation effects, social underachievement ('letting up'), and stereotype threat mitigation. Analysis of his publications reveals sustained focus on stereotype threat, intergroup relations, and environmental behavior across cross-cultural contexts, with consistent application of social psychological theory to real-world problems in education and sustainability. Dr. White currently mentors three graduate students: Logan Call (admitted 2020) Emma Franklin (2022) Brittany Clark (2022) He directs the Persuasion, Prejudice, and Performance (PPP) Lab, which serves as the primary research environment for experimental and applied investigations into his three core research areas.

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Guerino MazzolaView profile

Professor

University of Minnesota Twin CitiesUnited States

Guerino Mazzola is a Professor of Creativity, Improvisation, and Mathematical Music Theory at the School of Music, University of Minnesota. His academic career includes a PhD in Mathematics from Zurich University and postdoctoral work at Paris-Sud and Rome. He has been a key figure in developing mathematical music theory since 1980, authoring influential books such as The Topos of Music (2002) and Cool Math for Hot Music (2016). Education: PhD in Mathematics (Zurich University), Habilitation in Algebraic Geometry (1980), and Computational Sciences (1993). Research Interests: Mathematical foundations of music, gesture theory, performance analysis, computational musicology, and interdisciplinary creativity. Notable contributions include the Rubato software for performance analysis and the development of gesture theory applied to free jazz. He has received awards such as the Mexican Mathematical Society Medal (2000) and has been a visiting professor at prestigious institutions like the École Normale Supérieure in Paris. Teaching spans advanced courses on gesture theory, performance science, and music informatics, with a focus on bridging mathematical rigor and artistic creativity.

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Sungyong AhnView profile

Lecturer

University of QueenslandAustralia

Dr. Sungyong Ahn is a Lecturer in Digital Media and Cultures at the School of Communication and Arts, University of Queensland, and an affiliate of the Centre for Digital Cultures & Societies. His research focuses on digital ontology, new materialism, and speculative (capitalist) realism, examining how smart technologies reshape human perception and governance. He holds a PhD in Media Studies from the University of Illinois at Urbana-Champaign. Education: Bachelor of Philosophy (Yonsei University), Master of Film and Television (Chung-Ang University), PhD in Media Studies (UIUC). His research investigates the interplay between technology, capitalism, and cultural production, particularly through the lens of the Internet of Things (IoT), quantum physics as cultural imagination, and French philosophy (Foucault, Deleuze, Badiou). Recent work includes analyzing IoT’s role in self-governance and the ontological anxieties of digital existence. Publications span journals like Media Theory , Journal of Cultural Economy , and Postmodern Culture . He is the author of Internet-ontologies-Things: Smart Objects, Hidden Problems, and Their Symmetries (2023). Available for supervision in media studies, digital cultures, and science/technology studies. Active in interdisciplinary collaborations, including the Centre for Digital Cultures & Societies.

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Michael OppenheimerView profile

Professor

Princeton UniversityUnited States

Michael Oppenheimer is the Albert G. Milbank Professor of Geosciences and International Affairs at Princeton University, affiliated with the Princeton School of Public and International Affairs (SPIA), the Department of Geosciences, and the High Meadows Environmental Institute (HMEI). He directs the Center for Policy Research on Energy and the Environment (C-PREE) and holds roles in multiple research programs. His work bridges climate science and policy, focusing on climate impacts, adaptation, and scientific assessment frameworks. He has advised international bodies, including the IPCC, and contributed to foundational climate policies like the Kyoto Protocol. Education: Ph.D. in Chemical Physics, University of Chicago S.B. in Chemistry, MIT Research Interests: Climate change impacts, sea level rise, compound hazards (e.g., storms and heatwaves), migration dynamics, and the role of scientific assessments in policy. His work emphasizes actionable solutions for climate adaptation and mitigation. Grants & Awards: 2010 Heinz Award for the Environment AAAS Fellow Recipient of the Nobel Peace Prize (via IPCC, 2007) Advising & Labs: Leads the C-PREE, mentors over 20 graduate students, and collaborates with interdisciplinary teams on climate policy and science. Key labs/centers include C-PREE, HMEI, and the NY City Panel on Climate Change.

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Bruce N. WalkerView profile

Professor

Georgia Institute of TechnologyUnited States

Professor Bruce N. Walker holds a joint appointment in the School of Psychology and School of Interactive Computing at Georgia Institute of Technology, within the College of Sciences. His research focuses on human-centered technology design, emphasizing accessibility, auditory displays, and human-AI interaction. He leads the Sonification Lab, pioneering multimodal interfaces and inclusive technology solutions. He earned his Ph.D. in Human Factors and Human-Computer Interaction from Rice University in 2001. Research Interests: Trust in technology, accessible interfaces, sonification, AI-human collaboration, and HCI in non-traditional environments. Current projects include the AccessCORPS VIP initiative to enhance course accessibility and studies on automated vehicle interaction. Awards: Best Paper Award at AudioMostly 2014 for auditory weather reports research. Active in professional organizations like the International Community for Auditory Display and Human Factors and Ergonomics Society. Teaching: Courses include Research Methods for Human Factors, Sensation and Perception, and HCI Foundations. Supervises interdisciplinary teams in the Sonification Lab R&D Studio and AccessCORPS VIP. Labs/Teams: Sonification Lab (multimodal data exploration) and AccessCORPS (disability-inclusive course design). Collaborates on international projects like the Mwangaza initiative for learners with vision impairment in Kenya.

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David DanksView profile

Professor

University of California, San DiegoUnited States

David Danks is a Professor of Data Science, Philosophy, and Policy at the University of California, San Diego. His work bridges AI ethics, causal inference, and policy, focusing on governance frameworks for emerging technologies. He leads research on trustworthy AI systems, healthcare technology applications, and sociotechnical risks. Danks is affiliated with the DIVER Lab, exploring interdisciplinary approaches to AI's societal impact. His research spans causal discovery algorithms, ethical AI design, and the intersection of science and policy. Notable themes include mitigating bias in quantum machine learning, dynamic certification for autonomous systems, and addressing unforeseen technological harms. He has contributed to national AI policy through roles like the National Artificial Intelligence Advisory Committee. Publications emphasize ethical challenges in AI development, such as algorithmic fairness, epistemic utility, and moral responsibilities in dual-use technologies. His work frequently intersects with healthcare innovation, including personalized hemodynamic models for surgical risk reduction. While no formal awards or grants are listed, Danks' involvement in high-profile initiatives like the CCC Whitepaper on pandemic prevention underscores his leadership in translational ethics and policy.

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Richard JiangView profile

Senior Lecturer

Lancaster UniversityUnited Kingdom

Dr. Richard Jiang is a Senior Lecturer (Associate Professor) at Lancaster University's School of Computing and Communications. His research focuses on Artificial Intelligence, Neurocomputing, Quantum AI, Privacy Computing, and Medical Computing. He has pioneered secure pattern recognition in encrypted domains and quantum neuromorphic computing. With over £1M in research grants from EPSRC and others, he has authored 100+ publications and supervised over 20 PhD students. Dr. Jiang's work includes the Face2Brain method for neurodegenerative assessment and explainable models for brain aging analysis. He contributes actively to academic committees, editorial boards, and conferences like the World Conference on eXplainable AI. His research spans ethical AI frameworks, quantum algorithms for medical imaging, and privacy-preserving biometric systems.

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Alexandr LucasView profile

Teaching Professor

University of SheffieldUnited Kingdom

Alexandr Lucas is a Teaching Professor in Robotics at the University of Sheffield's School of Computer Science. He joined in September 2019 and holds roles including Deputy Admissions Tutor (General Engineering) and IPE Tutor. His research focuses on developmental neuro-robotics, cognitive assessment via human-robot interaction, and educational robotics applications. He contributes to courses like COM1005 (Machines and Intelligence) and COM3528 (Cognitive and Biomimetic Robotics), developing teaching materials for MiRo robots and simulators. Publications include work on cognitive skill assessment using cloud computing and robotic systems, visual finger-counting for neuro-robotics learning, and public perception analysis of robots in urban environments. He co-founded the SERAI Network CIC and maintains active roles in robotics education and outreach. Lucas has created extensive teaching resources, including guides for MiRoCloud simulation platforms and visual coding tools (MiRoCODE). His work emphasizes practical robotics education and bridging theory with hands-on experiments in undergraduate and postgraduate programs.

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Gaël Georges Marcel Le MensView profile

Professor

Pompeu Fabra UniversitySpain

Gaël Georges Marcel Le Mens is a Full Professor at Pompeu Fabra University (UPF), holding a position in the Department of Economics and Business. He is also affiliated with the Barcelona School of Economics and serves as academic co-director of the Executive Master in Business Administration (EMBA) at the UPF Barcelona School of Management. His academic journey includes teaching roles at INSEAD, London Business School, ESADE, and the University of Lugano, alongside positions at the universities of Southern Denmark and New York. Education: Doctor in Business Administration, Stanford Graduate School of Business MSc in Management Science and Engineering, Stanford University Diploma in Engineering, Supélec Bachelor of Economics, University of Paris XI His research focuses on decision-making processes, information sampling, machine learning applications in semantics, and organizational behavior. Key themes include cognitive heuristics, social media impact on political expression, and the interplay between popularity and evaluation dynamics. He has explored how feedback mechanisms shape political communication and developed methodologies to compare human and machine conceptual judgments using models like BERT. His publications span journals such as PNAS , Psychological Review , and Industrial and Corporate Change , reflecting his interdisciplinary approach. Though no explicit awards are noted, his prolific output highlights sustained academic impact. He has advised multiple institutions on curriculum design and executive education, leveraging his cross-university teaching experience. Le Mens is affiliated with the Barcelona School of Management’s research teams and contributes to initiatives bridging artificial intelligence and social sciences. His work often addresses practical challenges in organizational decision-making and digital communication strategies.

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