Find Academic Supervisors

Paul MohaiView profile

Professor

• Environmental Justice
• Public Health Impacts
• Racial and Socioeconomic Disparities
• +3 more

Paul Mohai is a Professor at the University of Michigan’s School of Natural Resources and Environment (SNRE). His work focuses on environmental justice, racial and socioeconomic disparities in pollution exposure, and policy development. He has contributed extensively to understanding historical and contemporary patterns of environmental inequity, particularly regarding hazardous waste siting and school proximity to industrial hazards. Mohai’s research bridges community-based activism, quantitative analysis, and policy advocacy. Education and Affiliations: Affiliated with the Program in the Environment at the University of Michigan. Research Interests: Mohai’s scholarship addresses how marginalized communities bear disproportionate environmental burdens, including air and water pollution, and advocates for equitable policy solutions. He has analyzed longitudinal data to assess demographic changes around hazardous facilities and collaborated with communities to design environmental screening tools. His work emphasizes the intersection of race, class, and environmental health outcomes. Publications: Mohai’s recent work includes studies on cumulative impacts of pollution, Michigan school siting guidelines, and the Flint water crisis. His articles span journals and conference proceedings, highlighting interdisciplinary approaches to environmental justice. Awards & Grants: No specific awards are listed, but his extensive publication record reflects sustained academic contribution. His grants likely support community-engaged research on environmental disparities. Labs/Teams: Collaborations include the Program in the Environment and the Michigan Environmental Justice Coalition.

Jerold S. KaydenView profile

Professor

• Urban Planning
• Land Use Law
• Environmental Law
• +4 more

Jerold S. Kayden is the Frank Backus Williams Professor of Urban Planning and Design at Harvard University's Graduate School of Design. He holds affiliations with Urban Planning and directs the Master in Real Estate Program. His expertise spans land use law, public space design, climate resilience, and urban disasters. Kayden advises governments, NGOs, and developers globally, with notable work in China, Russia, and Ukraine. He is a legal scholar with Supreme Court amicus brief experience, a Guggenheim Fellow, and recipient of the Harvard GSD 'Teacher of the Year' award. Education: Bachelor's, Law, and City & Regional Planning degrees from Harvard University Research Interests: Kayden focuses on urban legal frameworks, disaster resilience, and public-private space dynamics. His work bridges law, policy, and design, addressing climate adaptation and equitable urban development. Notable books include Privately Owned Public Space: The New York City Experience and Urban Disaster Resilience . Recent Articles: His 2022 Today’s Global contribution explores cross-cultural urban governance, while 2021's America examines legal history and urban resilience. Post-pandemic urban resilience analyses and legal analyses of Midtown Manhattan’s development highlight his recent work. Awards: Guggenheim Fellowship NEA Fellowships ACSP, ABA, ASLA, and EDRA awards Harvard GSD Teaching Excellence Advising & Grants: Principal Investigator for the Harvard-Netherlands Climate Adaptation Project (2009–2011). Advises the National Trust for Historic Preservation and leads the non-profit Advocates for Privately Owned Public Space . Collaborates with World Bank, UNDP, and the Dutch Government on land use policies. Labs/Teams: Leads urban resilience initiatives at Harvard GSD, coordinating interdisciplinary teams on climate adaptation and legal frameworks.

Andrew Hudson-SmithView profile

Professor

• Digital Urban Systems
• Smart Cities
• Internet of Things (IoT)
• +7 more

Professor Andrew Hudson-Smith is the Director of the Bartlett Centre for Advanced Spatial Analysis (CASA) at University College London (UCL), where he holds the title of Professor of Digital Urban Systems. He leads UCL's academic and applied research in smart cities, digital twins, and urban informatics. His roles include Editor-in-Chief of the Future Internet Journal and academic lead for the Smart Queen Elizabeth Park project. He contributes to strategic initiatives such as the Greater London Authority Smart London Board and EPSRC Digital Economy Programme Advisory Board. Education: PhD (2003), MSc (1996) from UCL; BSc in Geography from the University of Plymouth (1992). Research focuses on digital urban systems, IoT applications, sustainable urban planning, and cyberphysical systems. Notable projects include urban heat island monitoring, participatory planning platforms, and metaverse-driven urban design. His work bridges technology, art, and public engagement, exemplified by initiatives like Tales of Things and the Haggle-O-Tron. Recent publications emphasize digital twins, metaverse urbanism, and IoT integration in urban environments. Awards include a Fellowship of the Royal Society of Arts. His work addresses SDGs 3 (Good Health) and 11 (Sustainable Cities), with a focus on equitable smart city development and public space innovation.

Marisol De La CadenaView profile

Professor

• Anthropology
• Science and Technology Studies (STS)
• Indigeneity
• +12 more

Marisol De La Cadena is a Professor in the Department of Anthropology at the University of California, Davis, with affiliations in Science and Technology Studies (STS). Her work bridges anthropology, political theory, and environmental thought, focusing on ontological divergence and multispecies relations in Latin America, particularly in Peru and Colombia. Department: Department of Anthropology School: College of Letters and Science University: University of California, Davis Email: mdelac@ucdavis.edu Office: Young Hall 315 Her research centers on the intersection of modern politics and non-modern or ahistorical ontologies, especially through what she calls "ontological openings." Drawing from deep ethnographic engagement with Quechua-speaking interlocutors in the Andes, she explores how earth-beings, humans, and nonhumans co-constitute worlds that exceed Western categories. Her theoretical contributions challenge conventional boundaries between nature and culture, history and timelessness, and politics and cosmology. Her recent fieldwork in Colombia examines human-cow relations on cattle ranches and in veterinary schools, situating these practices within broader ecological crises and post-conflict transitions. Her publications reveal a consistent interest in how ethnographic concepts function as both empirical observations and theoretical tools. The body of her work, including key articles like "Uncommoning Nature" and "Runa: Human but not only," reflects a deep commitment to rethinking anthropological method and theory. Her research trends emphasize ontological politics, multispecies ethnography, and the decolonization of knowledge, contributing significantly to contemporary debates in STS and anthropology. Her scientific honors include: John Simon Guggenheim Memorial Foundation Fellow (2008) Lewis H. Morgan Lecture Series Invited Speaker, University of Rochester (2011) Invited Researcher, Center for Advanced Studies, Norwegian Academy of Sciences (2015) Guest Speaker, Mellon-Sawyer Seminar, University of Cape Town (2010) She has been principal investigator on several major grants, including the John E. Sawyer Mellon-Sawyer Seminar on the Comparative Study of Cultures (2012–2016), a Wenner-Gren Conference Support Grant (2009–2010), and multiple research fellowships from the Guggenheim, Wenner-Gren, and American Philosophical Societies. These grants have enabled collaborative, transdisciplinary research on cosmopolitics, indigeneity, and the anthropology of worlds. She is affiliated with research initiatives such as the Sawyer Seminar on the Comparative Study of Cultures and contributes to global academic networks in anthropology and STS. Her work fosters dialogue between indigenous thought, continental philosophy, and ethnographic practice, creating spaces for alternative modes of knowing and being.

Yi FangView profile

Associate Professor

• 3D Computer Vision
• Multimedia Processing
• Machine Learning
• +9 more

Yi Fang is an Associate Professor of Computer Engineering and an affiliated Associate Professor of Computer Science at New York University Abu Dhabi (NYUAD), and a Global Network Associate Professor at NYU Tandon. He is a core faculty member in the Division of Engineering, specializing in Electrical and Computer Engineering. His research is centered at the intersection of Embodied AI, Robotics, and AI-driven assistive technologies, with strong support from agencies such as the US NSF, UAE ADEK, and ASPIRE. PhD, Purdue University Yi Fang's research interests span 3D Computer Vision, Multimedia Processing, Machine Learning, Deep Learning, and Embodied AI . He focuses on AI-driven perception, learning, and real-world applications, particularly in engineering, medicine, and accessibility. His lab, the Embodied AI and Robotics (AIR) Lab, develops intelligent robotic systems that integrate perception, learning, and decision-making to solve complex societal challenges. His work emphasizes large-scale visual computing, deep visual learning, and cross-domain/multimodal foundation models , with recent innovations in assistive AI for the Deaf and Hard-of-Hearing community. The 15 most recent publications reflect a consistent focus on 3D vision, sketch-based 3D retrieval, point cloud learning, and assistive computer vision . His work leverages deep learning, adversarial training, metric learning, and generative models to bridge modalities such as sketches, depth images, and 3D models. There is a clear trend toward cross-modal understanding, unsupervised representation learning, and real-world assistive applications , especially for visually impaired individuals. Yi Fang actively contributes to the academic community as an Area Chair for top-tier conferences including CVPR, ECCV, ICCV, IJCAI, and IROS. He also serves in peer review and mentoring roles, shaping the future of AI and robotics research. As a dedicated educator, he teaches foundational and advanced courses such as Computer Vision, Applied Machine Learning, Data Structures, and Capstone Design . He mentors students through research seminars and honors projects, fostering innovation and technical excellence. His research is supported by major grants from US NSF, UAE ADEK, and ASPIRE, enabling high-impact interdisciplinary collaborations. He founded and directs the Embodied AI and Robotics (AIR) Lab at NYU Abu Dhabi, a dedicated research space for developing intelligent systems that seamlessly integrate perception, learning, and decision-making. The lab promotes interdisciplinary collaboration across engineering, medicine, and social sciences, advancing the frontiers of Embodied AI.

Amit KumarView profile

Professor

• Combinatorial Optimization
• Online Algorithms
• Clustering Algorithms
• +5 more

Amit Kumar is the Jaswinder and Tarwinder Chadha Chair Professor in the Department of Computer Science and Engineering at IIT Delhi. His research focuses on combinatorial optimization, online algorithms, and algorithmic fairness. He has taught courses such as Approximation Algorithms (COL 754), Design and Analysis of Algorithms (COL 351), and Numerical Analysis (COL 726). His work spans theoretical computer science with applications to clustering, scheduling, and fairness in evaluation processes. Research Interests Kumar's research emphasizes developing efficient algorithms for online and dynamic settings, particularly in constrained optimization and biased evaluation systems. He explores theoretical foundations of clustering, load balancing, and resource allocation, with recent contributions to fair food delivery systems and coreset constructions. Publications His recent work includes advancements in online convex paging (STOC 2025), consensus clustering (SODA 2025), and fairness-aware algorithms (AAAI 2024). Over 70 papers across top venues like STOC, SODA, and ICML reflect his expertise in algorithm design and analysis. Awards Best Paper Award at ISAAC 2023 for 'Clustering What Matters in Constrained Settings' Teaching & Mentorship Kumar instructs graduate and undergraduate courses in algorithms, data structures, and numerical methods. He advises students through these courses and collaborates with researchers on NSF-funded projects related to approximation algorithms and streaming systems.

Anush TserunyanView profile

Professor

• Mathematics
• Ergodic Theory
• Combinatorics
• +3 more

Anush Tserunyan is a Professor of Mathematics at McGill University, Canada, and a Visiting Professor at the Unit of Pure and Applied Mathematics (UMPA) at École normale supérieure de Lyon from December 1, 2024, to January 31, 2025. She holds a bachelor's and master's in computer science and applied mathematics from Yerevan State University (2005–2007) and a Ph.D. in Mathematics from UCLA (2013), focusing on finite generators for group actions, equivalence relations, and recursive program complexity. Research Interests: Anush Tserunyan specializes in Ergodic Theory , Combinatorics , and Group Actions , with notable contributions to graph theory, hypergraphs, and Ramsey theory. Her work bridges combinatorial structures with analytic methods, particularly in dynamical systems and descriptive set theory. Collaborations: During her visit to UMPA, she collaborates with teams in Geometry, Groups and Dynamics , and Number Theory , alongside researchers like Benjamin Schraen and Sophie Morel. Her stay includes seminars on GGD, Number Theory, and the 'Actions!' working group. Publications: Her research spans topics like ergodic theorems, disjoint matchings in graphs, and algebraic hypergraphs, reflecting a focus on foundational mathematical structures and their applications.

Marek LocmelisView profile

Associate Professor

• Economic Geology
• Geochemistry
• Petrology
• +5 more

Marek Locmelis is an Associate Professor at the Department of Earth and Planetary Sciences and the Bureau of Economic Geology within the Jackson School of Geosciences at the University of Texas at Austin. His research focuses on magmatic, hydrothermal, and sedimentary ore deposits, with an emphasis on critical mineral supply strategies, including recycling of mine waste and STEM education in economic geology. He holds a PhD from Macquarie University and prior roles at Missouri University of Science and Technology and NASA Goddard Space Flight Center. Education PhD in Earth and Planetary Sciences, Macquarie University (Australia) Diploma (MSc equivalent) and Pre-Diploma (BSc equivalent) in Geosciences, University of Hannover (Germany) Research Interests His work spans geochemistry, petrology, and planetary evolution, with a focus on critical minerals (e.g., lithium, rare earth elements) and novel exploration techniques. He investigates pathways to enhance domestic critical mineral recovery through reprocessing mine waste and optimizing production streams. His planetary research includes atmospheric toxicity studies and habitability potential of extraterrestrial environments. Awards Fellow of the Society of Economic Geology (SEG) SEG Graduate Student Fellowship Program Chair NSF CAREER Award (2020) NASA Postdoctoral Fellowship (2014) Advising & Grants Locmelis has advised postdocs and students through workshops on critical mineral resilience. His NSF CAREER project explores metal transport via magmatic-hydrothermal fluids. He co-organized conferences on critical minerals and led the Roadmaps Into the Geosciences (RIGS) program to support student career development. Labs & Teams He collaborates with the Bureau of Economic Geology and interdisciplinary teams in critical mineral research, combining fieldwork, geochemical analysis, and policy advocacy.

Ruben VerresenView profile

Assistant Professor

• Condensed Matter Physics
• Quantum Information
• Topological Physics
• +5 more

Ruben Verresen is an Assistant Professor of Molecular Engineering at the University of Chicago’s Pritzker School of Molecular Engineering. His research focuses on quantum-entangled states, topological phases of matter, quantum information theory, and their experimental realizations in engineered quantum systems. He collaborates with institutions like Harvard University, MIT, and Quantinuum to explore quantum technologies. Education: B.Sc. (2012): KU Leuven, Belgium M.Sc. (2013): Perimeter Institute for Theoretical Physics M.Sc. (2014): University of Cambridge PhD (2019): Max-Planck-Institute for the Physics of Complex Systems (Technical University of Dresden) Research interests include emergent phenomena in quantum devices, unifying concepts across physics disciplines, and tensor network methods. His work bridges theory and experiment, with notable contributions to topological order in quantum simulators and non-Abelian anyon detection. Awards include the Otto Hahn Medal (2021). Labs/Teams: Verresen Group at UChicago, collaborations with Harvard’s Lukin Lab and Quantinuum.

Bernhard J. BergerView profile

Lecturer

• Software Security
• Static Code Analysis
• Machine Learning
• +4 more

Bernhard J. Berger is a Lecturer in the Department of Computer Engineering at the Institute of Embedded Systems, Hamburg University of Technology (TUHH). His research focuses on software security, static code analysis, machine learning, optimization, and research data management. He has held significant roles such as Program Committee member for ICPC 2025 and MSR 2025, and has received awards including the Best Reviewer Award (ICPC 2023) and Best Engineering Paper Award (SCAM 2019). His work spans interdisciplinary applications including maritime systems security, GPU-accelerated AI, and evolutionary algorithms. Recent studies emphasize AI-driven security tools (e.g., ML-SAST) and domain-specific language approaches to optimization (EvoAl). He has contributed to over 30 peer-reviewed publications, with notable work in IEEE Transactions on Software Engineering and Science of Computer Programming. Berger collaborates closely with industry through DAAD review committees and serves on artifact evaluation boards for ISSTA and ARES conferences. Education: Doctoral Thesis (2022), Diploma in Computer Science (2007) Key Projects: ArchSec tool suite, Threat Modeling Frameworks, Bauhaus static analysis methodology Lab Affiliation: Embedded Systems Design Group His advisory roles include Deputy of TUHH's Election Verification Committee and Session Chair at IEEE Congress on Evolutionary Computation 2023. Current research trends integrate machine learning with static analysis for automated vulnerability detection, while also exploring explainable AI techniques for neural network optimization.

Jindong TanView profile

Professor

• Medical Robotics
• Surgical Robotics
• Human-Robot Interactions
• +3 more

Jindong Tan is a Professor in the Department of Mechanical, Aerospace, and Biomedical Engineering at the University of Tennessee, Knoxville (since 2015). Previously, he held roles at Michigan Technological University (2002–2015) and Northeastern University, China (1995–1998). He specializes in medical/surgical robotics, human-robot interactions, wearable sensors, control systems, and mechatronics. His research integrates robotics, biomedical engineering, and computer science to advance minimally invasive surgical tools, wearable technology, and autonomous systems. Education: Ph.D. in Mechanical Engineering from Michigan State University (2002), M.S. from Northeastern University (1995), and B.S. from Lanzhou University of Technology (1992). Research interests focus on developing innovative medical robotic systems, including laparoscopic camera robots, magnetic actuation mechanisms, and human-robot collaboration frameworks. He has contributed to advancements in wearable sensors for healthcare, sensor networks for dynamic environments, and calibration techniques for bio-inspired robots. Key projects include the design of an untethered laparoscopic camera robot (s-CAM), magnetic localization for surgical tools, and frameworks for controlled robot language in human-robot collaboration. His work emphasizes practical applications in surgical environments and wearable health monitoring. Professional service includes roles with the IEEE Robotics & Automation Society, Engineering in Medicine and Biology Society, and the Association for Computing Machinery. Contact: tan@utk.edu, Perkins Hall 315.

• Music Cognition
• Virtual Reality Applications
• Social Connectedness
• +5 more

Dr. Kelsey Onderdijk is a Post-doctoral Researcher at Tilburg University in the Department of Communication and Cognition within the Tilburg School of Humanities and Digital Sciences. Her research focuses on the intersection of music cognition, virtual reality, and social connectedness, with publications spanning neuroscience, psychology, and human-computer interaction domains. Dr. Onderdijk completed her doctoral studies at Ghent University with a dissertation titled "Come together: Exploring unity in music interaction through agency and social connectedness." Her academic journey reflects a strong commitment to understanding human interaction through musical experiences, particularly examining how technological mediation affects social bonding. Her research interests include: Music cognition and embodied music interaction Virtual reality applications in musical contexts Social connectedness in digital music environments Effects of technological constraints on musical collaboration Physiological measures of emotional engagement in music Impact of external constraints on creative expression Dr. Onderdijk's publication record demonstrates a clear trajectory examining how people connect through music in both physical and virtual spaces. Her work bridges psychology, musicology, and human-computer interaction, with particular attention to the impact of the COVID-19 pandemic on musical collaboration. Recent publications have focused on concert experiences in virtual reality environments and the physiological correlates of emotional engagement during musical performance. Her research has garnered significant attention, with multiple publications receiving citations and mentions in news outlets, policy sources, and social media platforms. The "Impact of Lockdown Measures on Joint Music Making" paper has been particularly influential, accumulating 39 citation indexes and 50 Mendeley readers. Dr. Onderdijk actively collaborates with researchers across institutions, particularly with scholars from Ghent University including Marc Leman and Pieter-Jan Maes, indicating a strong network within the music cognition research community. Her work contributes to UN Sustainable Development Goals, particularly those related to well-being and innovation.

Min HuView profile

Assistant Professor

• Health Economics
• Applied Microeconomics
• Labour Economics
• +7 more

Min Hu is an Assistant Professor in the Department of Economics, Philosophy, and Political Science at the University of British Columbia, Okanagan Campus. He holds an adjunct position at Dalhousie University's School of Health Administration. His primary research focuses on Health Economics, Applied Microeconomics, and Labour Economics, with an emphasis on vulnerable populations in Canada, Indigenous health, income inequalities, and cancer economics. He teaches courses in Microeconomics, Health Economics, and Statistics. Education: PhD in Economics (2019), Dalhousie University; Postdoctoral Fellowship in Health Economics (2019–2020), Dalhousie University. Previous degrees include an M.A. (2014–2016) and B.A. in Economics from Dalhousie University. Research interests include the socio-economic determinants of health disparities, particularly among Indigenous peoples and immigrants, and the economic impacts of cancer-related policies. He employs applied econometric methods to analyze labor market outcomes and social policy effectiveness. His recent articles explore sustainable biomass utilization, energy policies, and environmental engineering innovations. Key themes include biomass supply chain optimization, CO₂ reduction strategies, and waste-to-energy technologies. Scientific Awards: Recipient of SSHRC New Frontiers Grant (2023–2026), CIHR Team Grant (2024–2026), and multiple UBC startup grants. His work is supported by SSHRC, CRDCN, and Indigenous Services Canada. He advises students in Economics and Global Studies (IGS) programs. Grants and funding span health economics, Indigenous well-being, and sustainable energy systems. Collaborations include interdisciplinary teams in health administration and environmental policy. Labs/Teams: Engaged with UBC's Okanagan Sustainability Initiatives and Dalhousie's Health Economics Research Group. Affiliated with professional organizations like the American Economic Association and Canadian Health Economics Study Group.

• Digital Strategy
• Innovation Management
• Open Innovation
• +7 more

Christopher L. Tucci is a Professor of Digital Strategy & Innovation at Imperial College London's Business School and currently serves as Interim Vice Dean of Education. He is also the Founding Dean of NEOM's College of Business & Innovation in Saudi Arabia. Previously, he held the Chair in Corporate Strategy & Innovation at École Polytechnique Fédérale de Lausanne (EPFL), where he served as Dean of the College of Management from 2013 to 2018. His academic qualifications include a PhD in Management from MIT and multiple degrees from Stanford University: an AB in Music, BS in Mathematical Sciences, and MS in Computer Science and Computer Science. His research focuses on digital strategy, innovation management, open innovation, and business model innovation, with particular emphasis on how firms transition to new technologies and organizational forms. He has pioneered work on crowdsourcing, inter-networking, and AI-driven innovation. His award-winning article 'Crowdsourcing as a Solution to Distant Search' (co-authored with Allan Afuah) has received multiple accolades, including the AMR Decade Award in 2022. Professor Tucci teaches courses such as AI Ventures, Co-Creation in AI & Robotics, and Design Thinking. He actively contributes to academic leadership roles, including serving on the Academy of Management's Board of Governors and leading initiatives like Imperial's I-X (Artificial Intelligence and Digital Innovation hub). His work integrates technology, strategy, and organizational dynamics to address modern business challenges. Educations: PhD in Management, MIT (1992–1997) SM in Technology & Policy/EECS, MIT (1989–1991) BS in Mathematical Sciences, Stanford (1978–1982) AB in Music, Stanford (1979–1983) MS in Computer Science, Stanford (1982–1984) Labs/Teams: Co-Director of Imperial's I-X initiative, focusing on AI, data science, and digital innovation.

David John ProcterView profile

Professor

• Organic Synthesis
• Catalysis
• New Synthetic Methods
• +5 more

David John Procter is a Professor of Organic Chemistry and Head of the Department of Chemistry at the University of Manchester. His career includes academic roles at the University of Glasgow (Lecturer, Senior Lecturer) and a Readership at the University of Manchester, where he became a Professor in 2008. His research focuses on developing new synthetic methods, catalysis, and materials chemistry, with applications in drug discovery, biocatalysis, and organic electronics. Education: BSc Chemistry (University of Leeds, 1992), PhD (1995, supervised by Prof. Christopher Rayner). Postdoctoral work: Florida State University (Prof. Robert Holton, Taxol analog synthesis). Research interests include samarium diiodide-mediated reactions, metal-free coupling processes, and sustainable synthesis methods. He leads projects funded by EPSRC, Industry (30 grants), and international collaborations. Awards include the EPSRC Established Career Fellowship (2015–2020), Bader Prize (2014), and Young Heterocyclic Chemist Award (2015). Key contributions: Total synthesis of natural products (e.g., pleuromutilin), development of copper-catalyzed multicomponent couplings, and innovative methods for organic materials. His work aligns with UN Sustainable Development Goals related to affordable and clean energy and responsible consumption. Collaborations span academic and industrial partnerships in chemistry, physics, and biology. He supervises 60+ students and contributes to the Organic Materials Innovation Centre (OMIC). His group’s research is detailed at proctergroupresearch.com .