Find Academic Supervisors

• Urban Air Quality
• Sustainability Analysis
• Alternative Energy Systems
• +6 more

Matthew Fraser is a Professor and Associate Director at Arizona State University's School of Sustainable Engineering and the Built Environment. He is affiliated with the Urban Climate Research Center and serves as a Senior Global Futures Scientist. Education : Ph.D. in Environmental Engineering Science from Caltech (1998), M.S. in Environmental Engineering Science from Caltech (1993), B.S. in Chemical Engineering from Carnegie Mellon University (1991) His research focuses on urban air quality , alternative energy systems , and atmospheric monitoring . Recent work examines wildfire smoke impact, microplastics in desert soils, and ozone behavior in urban regions. Publications span Environmental Science and Technology , Atmospheric Environment , and Science of the Total Environment . Notable scientific awards include Arizona State University's 'Top 5%' Faculty Teaching Award (2018, 2021). Research grants include projects funded by the National Institutes of Health , US Department of Energy , and Semiconductor Research Corporation . Service Roles : Member of University Consortium for Atmospheric Research (2010–Present), Committee Member for ASU Sustainability Minor (2009–Present), and Chair of Science Advisory Board for Mid-Infrared Technologies for Health and the Environment Engineering Research Center (2007–Present)

Mathias UnberathView profile

Associate Professor

• Computer-assisted medicine
• Computer vision
• Artificial intelligence and machine learning
• +4 more

Mathias Unberath is the John C. Malone Associate Professor in the Department of Computer Science at Johns Hopkins University, with secondary appointments in Ophthalmology and Otolaryngology—Head and Neck Surgery at the School of Medicine. He is a core faculty member of the Laboratory for Computational Sensing and Robotics (LCSR) and the Malone Center for Engineering in Healthcare, and affiliate faculty at the Institute for Assured Autonomy and Data Science and AI Institute. Education: PhD in Computer Science from Friedrich-Alexander University of Erlangen-Nürnberg (2017), MSc in Optical Technologies (2014), BSc in Physics (2012) His research focuses on computer-assisted medicine, integrating computer vision, machine learning, and medical robotics to develop human-centered solutions through mixed reality and embodied technologies. His work addresses surgical phase recognition, explainable AI, and digital twin representations for clinical workflows. Unberath's 15 most recent publications demonstrate expertise in surgical AI (7/15), medical imaging (12/15), and mixed reality (8/15), with specific subfields including segmentation frameworks (3 papers), cognitive load estimation (4 papers), and surgical robotics (5 papers). NSF CAREER Award NIH NIBIB Trailblazer R21 Google Research Scholar Award Inaugural DSAI Junior Faculty Award IPCAI 2025 Best Paper Award He teaches graduate courses in machine learning, AI system design, and interpretable machine learning. His group, the ARCADE Lab, develops technologies for computer-assisted interventions, emphasizing robustness, explainability, and human-AI collaboration in clinical settings.

Xuming HeView profile

Associate Professor

• Computer Vision
• Machine Learning
• Artificial Intelligence
• +9 more

Xuming He is an Associate Professor at the School of Information Science and Technology (SIST), ShanghaiTech University, where he leads the PLUS Lab. His research spans computer vision and machine learning with a focus on developing algorithms that operate effectively under limited supervision and evolving data conditions. His core research interests include weakly-supervised and few-shot learning for scenarios with sparse annotations, continual learning frameworks for knowledge retention during sequential task acquisition, semantic segmentation techniques for scene understanding, and multimodal vision-language representations. He emphasizes interpretable machine learning to build transparent AI systems capable of human-understandable reasoning, addressing critical challenges in model trustworthiness and deployment reliability. Recent publications reveal strong trends toward novel class discovery in long-tailed recognition scenarios, physics-informed generative modeling for scientific applications, and robust segmentation under distribution shifts. His work increasingly integrates large language models for multimodal reasoning while maintaining focus on efficiency in resource-constrained environments like robotic grasping and medical imaging analysis. He actively mentors students, having supervised Qian He to PhD completion and Chuanyang Hu to Master's degree in 2023. He welcomes prospective graduate students through ShanghaiTech's Computer Science & Technology program and offers undergraduate research projects requiring minimum six-month commitments. The PLUS Lab under his direction drives innovation in learning under supervision constraints, with recent work spanning medical tumor analysis, cross-view geolocation, photonic computing, and semiconductor design verification. The lab's research bridges theoretical advances with practical applications across healthcare, robotics, and scientific discovery domains.

Joel JohnsonView profile

Professor

• Gas Hydrate Systems
• Sedimentology
• Geological Oceanography
• +3 more

Joel Johnson is a Professor in the Department of Earth Sciences at the University of New Hampshire. He teaches courses in Earth History, Structural Geology, Sedimentology, Geotectonics, Geological Oceanography, and research-focused classes. With a Ph.D. in Geological Oceanography from Oregon State University and an M.S. in Structural Geology & Tectonics from the University of Illinois at Urbana-Champaign, his research spans gas hydrate systems, sedimentology, and methane cycling in marine environments. Ph.D., Geological Oceanography, Oregon State University M.S., Structural Geology & Tectonics, University of Illinois at Urbana-Champaign B.S., Geology, University of Minnesota Duluth His work examines gas hydrate dynamics in settings like Hydrate Ridge (Cascadia margin) and Svyatogor Ridge (Fram Strait), focusing on crustal processes , fluid flow mechanisms , and authigenic carbonate formation . Studies in the Gulf of Mexico and Indian continental margins analyze hydrate accumulation controls, while Arctic lake research explores methane emission temperature sensitivity and microbial influences . Collaborative projects include 3D seismic analysis , tectonic stress modeling , and monsoon-driven sedimentation in the Bay of Bengal and Andaman Sea. Recent publications highlight earthquake-enhanced carbon cycling in deep sediments (2023), primary deposition controls on gas hydrate reservoirs (2022), and crustal-scale methane systems in Arctic regions (2022). His 15 most recent articles span 2023-2014, emphasizing gas hydrate systems , methane seepage , sedimentary diagenesis , and tectonic influences on fluid flow. Subfields include authigenic carbonate formation , 3D seismic imaging , isotopic geochemistry , and late Quaternary climate reconstructions . Contact: Joel.Johnson@unh.edu

Shuhao FuView profile

Research Fellow

• Machine Learning
• Cognitive Science
• Relational Reasoning
• +3 more

Shuhao Fu is a Program Postdoctoral Fellow at the Santa Fe Institute (SFI) researching the intersection of machine learning and cognitive science. He completed his Ph.D. in Psychology at UCLA under advisors Hongjing Lu and Ying Nian Wu, following a B.S. in Computer Science and Mathematics from Hong Kong University of Science and Technology. His research examines human-like relational reasoning in AI systems through cognitive modeling and computational approaches. Research focuses on: Bridging human-machine reasoning gaps via analogical mapping Developing explicit relational representations in vision models Structural cognitive modeling for compositional understanding Multimodal reasoning and scene interpretation Relational knowledge representation in biological and artificial systems Publication trends show concentrated work in computational cognitive science (2021-2025), with evolving focus from visual analogy fundamentals to applications in 3D recognition, social interaction modeling, and mental health diagnostics. Recent work demonstrates increased emphasis on transformer architectures, multimodal integration, and human-AI comparative studies. Professional experience includes research internships at Google X and Mineral.ai, with prior affiliation at Johns Hopkins University's CCVL lab under Alan Yuille. Currently serves as reviewer for ICML, ICCV, and Cognitive Science Society conferences.

• Neuroscience
• Olfactory System
• Central Nervous System Development
• +4 more

Charles A. Greer is Professor of Neurosurgery and Neuroscience at Yale School of Medicine, where he serves as Co-Vice Chair of Research for Neurosurgery and Director of the Yale Interdepartmental Neuroscience Graduate Program. He maintains joint appointments in both the Department of Neurosurgery and Department of Neuroscience, with additional affiliations through the Wu Tsai Institute, Yale Combined Program in the Biological and Biomedical Sciences, and Yale Stem Cell Center. Dr. Greer's research focuses on understanding the fundamental mechanisms that establish orderly topographic maps within the central nervous system during development and regeneration. His laboratory primarily investigates the complex olfactory system, studying how axons sort into functional subsets and target specific regions in the olfactory bulb. His work has significant implications for understanding neural regeneration following injury or disease, particularly through his research on ensheathing cells that support axon growth and can promote remyelination in damaged spinal cord tissue. His research spans multiple disciplines including neuroanatomy, developmental neuroscience, and neural regeneration, with particular emphasis on the molecular and cellular mechanisms of axon targeting, glial cell function, and neural circuit formation. Dr. Greer has established extensive collaborations across Yale departments including Neurology, Neurobiology, Anesthesiology, and Ophthalmology, as well as with institutions including Columbia University, Emory University, The Rockefeller University, University of Maryland, and University of Colorado. Dr. Greer has received numerous prestigious awards including the Max Mozell Award for Outstanding Achievements in the Chemical Senses, the R.H. Wright Award for Outstanding Research in Olfaction, and recognition as Distinguished Professor from Universite Pierre et Marie Curie in Paris. He has served as President of the Association for Chemoreception Sciences and as a member of NIH study sections and the Advisory Council for the National Institute on Deafness and Other Communication Disorders. As an educator, Dr. Greer has directed the Yale Interdepartmental Neuroscience Graduate Program and mentored numerous students and postdoctoral fellows. He serves as Associate Editor for The Journal of Comparative Neurology and Journal of Neuroscience, and sits on the editorial boards of several other neuroscience journals. His extensive publication record demonstrates sustained contributions to understanding the organization and development of neural systems, particularly the olfactory pathway.

Dominique Claveau-MalletView profile

Associate Professor

• Environmental Engineering
• Wastewater Treatment
• Microplastics Pollution
• +6 more

Dr. Dominique Claveau-Mallet is an Associate Professor in the Department of Civil, Geological and Mining Engineering at Polytechnique Montréal. She holds a Tier 2 Canada Research Chair in Water Treatment in Decentralized or Small-Scale Facilities and serves as Co-Director of the Environmental Engineering Laboratory. Her affiliations include membership in the Center for Research, Development and Validation of Water Treatment Technologies and Processes (CREDEAU) and the Geothermal and Hydrogeology Research Group. Her research focuses on innovative solutions for water treatment challenges, with emphasis on: Decentralized wastewater systems and small-scale treatment facilities Microplastics capture and pollution mitigation strategies Phosphorus removal technologies using reactive filters Membrane filtration processes and hydraulic performance optimization Hydrogeology of contaminants in groundwater systems Analysis of her recent publications reveals strong research trends in microplastics characterization (capture methods, environmental fate, citizen science approaches), advanced filtration systems (reactive filters, membrane technologies), and sustainable wastewater treatment solutions for decentralized applications. Her work frequently combines experimental research with practical implementation studies. Awards & Recognition: Tier 2 Canada Research Chair (2020-present) Recipient of federal/provincial research grants including NSERC Discovery Grants She actively supervises graduate students, having recently directed 2 doctoral theses and 5 master's theses on topics spanning membrane filtration, phosphorus removal, and microplastics mitigation. Her research receives significant media coverage for its environmental impact, particularly regarding microplastics capture technologies and septic system management. Dr. Claveau-Mallet leads interdisciplinary teams at the Environmental Engineering Laboratory and collaborates extensively with municipal partners and citizen science initiatives. Current investigations focus on developing next-generation filtration systems and optimizing existing water treatment infrastructure for climate resilience.

Dwight HouwelingView profile

Associate Professor

• Environmental Engineering
• Wastewater Treatment
• Biological Nutrient Removal
• +5 more

Dwight Houweling is an Associate Professor in the Department of Civil, Geological and Mining Engineering at Polytechnique Montréal . His expertise focuses on environmental engineering and wastewater treatment , particularly in nutrient removal, biological processes, and modeling. B.Sc. in Civil Engineering (Queen’s University) Ph.D. in Civil Engineering (Polytechnique Montréal) Industrial Postdoctoral Fellow at EnviroSim Assoc. Ltd. Research interests include municipal/industrial wastewater treatment , phosphorus/nitrogen removal , biofilm systems , mechanistic modeling , and sludge densification . His work bridges activated sludge optimization , membrane-aerated biofilms , and green wastewater solutions . Recent publications emphasize modeling frameworks for nature-based solutions , biofilm technology in retrofitting plants , and sludge characterization in lagoons . He collaborates with institutions like EnviroSim Assoc. Ltd. and contributes to the Laboratoire de génie de l'environnement (LGE) at Polytechnique Montréal.

Tania LombrozoView profile

Professor

• Cognitive Psychology
• Philosophy of Science
• Moral Philosophy
• +3 more

Tania Lombrozo serves as the Arthur W. Marks ’19 Professor at Princeton University, leading the Concepts and Cognition Lab where she investigates the psychological and philosophical dimensions of human reasoning. Her work uniquely integrates empirical methods from cognitive science with conceptual frameworks from analytic philosophy. Her academic background includes a Ph.D. from Harvard University, establishing her foundation in interdisciplinary research approaches. Lombrozo's research centers on the human drive to explain, examining why we seek explanations for certain phenomena but not others, how explanation-seeking affects learning, and whether explanatory processes serve epistemic goals or introduce reasoning errors. She explores connections between causal reasoning, moral responsibility, and intuitive theories of knowledge, drawing from cognitive, social, and developmental psychology alongside philosophy of science and moral philosophy. Her methodology emphasizes experimental rigor while addressing normative questions about ideal reasoning. Analysis of her 2024-2025 publications reveals dominant themes in explanation evaluation across scientific and moral contexts, with significant attention to jargon in science communication, simplicity principles (Ockham’s razor), and moral responsibility in collective action. Her work increasingly addresses AI-human interaction, particularly how explanations influence trust in large language models and the cognitive effects of chain-of-thought reasoning. Notable honors include: Arthur W. Marks ’19 Professorship Excellence in Mentoring Graduate Students Award Lombrozo actively mentors graduate students including Sarah Joo, Casey Lewry, and Sebastian Montesinos, with research supported by interdisciplinary grants spanning cognitive science, ethics education, and technology policy. Her Concepts and Cognition Lab functions as a collaborative hub where philosophical questions are tested through behavioral experiments, contributing to both theoretical advances and practical applications in science communication and AI design.

Aaron YoungView profile

Associate Professor

• Human Augmentation
• Wearable Robotics
• Assistive Devices
• +7 more

Aaron Young is an Associate Professor in the Woodruff School of Mechanical Engineering at Georgia Institute of Technology and a program faculty member in the Biomedical Engineering School. He serves as Director of the Exoskeleton and Prosthetic Intelligent Controls (EPIC) Lab, focusing on robotic human augmentation through advanced control systems for prosthetics and exoskeletons. Education: Postdoctoral Fellow, University of Michigan (2014-2016) Ph.D., Northwestern University (2014) M.S., Northwestern University (2011) B.S., Purdue University (2009) Dr. Young's research addresses clinically viable control systems for wearable robotic devices, emphasizing intent recognition , EMG signal processing , and machine learning integration. His work targets mobility impairments from stroke, amputation, cerebral palsy, and neurological injuries, aiming to reduce metabolic costs, restore natural biomechanics, and enhance community ambulation. Key innovations include data-driven control frameworks , biomechanical terrain adaptation , and anthropometry-based personalization . His recent publications highlight advancements in deep learning for real-time biomechanics , EMG-informed joint estimation , and adaptive assistance systems . The EPIC Lab's facilities feature a terrain park with force plates , motion capture systems , and HumoTech simulation platforms for device testing. Scientific Awards: New Faces of Engineering (IEEE USA, 2017) Military Health System Team Award (2015) NSF Graduate Fellowship (2010) NDSEG Fellowship (2010) IEEE EMBC 3rd Place (2013) Projects include NSF-funded hip exoskeletons for stroke survivors, DoD-powered prostheses for amputees, and Pediatric knee exoskeletons for cerebral palsy. The lab cultivates interdisciplinary expertise in robotics , biomedical engineering , and human-machine interaction .

• Biomaterials
• Biomechanics
• Materials Science
• +4 more

Cecilia Persson is a Professor at Uppsala University in the Department of Materials Science and Engineering; Biomedical Engineering. She leads the BioMaterial Systems (BMS) research group within the Division of Biomedical Engineering, focusing on the development of new biomaterials through additive manufacturing. She also directs a Competence Centre in Additive Manufacturing for the Life Sciences and the national Research Technology Platform WISE Additive. 2018, Professor in Materials Science, Uppsala University 2015, Docent (Assoc. Prof.) in Engineering Science with Specialization in Materials Science, Uppsala University 2009, PhD in Mechanical Engineering, University of Leeds 2004, MSc in Materials Engineering, European degree (EEIGM) with triple diploma Persson's research focuses on biomaterials, biomechanics, materials science, and additive manufacturing. Her work takes an integrated approach to solving clinical and sustainability problems, combining materials science, mechanical and biological engineering with new technologies like 3D printing and machine learning. Key research areas include magnesium-based alloys for bone substitutes, titanium-based alloys for permanent implants, and machine learning methods to enhance manufacturing efficiency. Analysis of her recent publications shows a strong emphasis on additive manufacturing of biomaterials, particularly magnesium and titanium alloys. Her work explores microstructure control, mechanical properties optimization, antibacterial properties, and patient-specific implant design. The research demonstrates a clear trajectory toward more sustainable, patient-adapted medical solutions using advanced manufacturing techniques. Persson has received funding from prestigious organizations including the Swedish Research Council (VR), the Knut and Alice Wallenberg Foundation (KAW), the Swedish Foundation for Strategic Research (SSF), Sweden's Innovation Agency (VINNOVA), and the EU. As an academic leader, Persson has served as Section Dean of Engineering (2020-2023), President of the Scandinavian Society of Biomaterials (2019-2023), and Coordinator of EU Innovative Training Network NU-SPINE (2019-2023). Her BioMaterial Systems research group takes an integrated approach to solving clinical and sustainability problems, bridging fundamental scientific mechanisms with high societal relevance.

Ashok GoelView profile

Professor

• Artificial Intelligence
• Cognitive Science
• Learning Technology
• +4 more

Ashok Goel is a Professor of Computer Science and Human-Centered Computing at Georgia Institute of Technology and Chief Scientist at Georgia Tech’s Center for 21st Century Universities (C21U). He also serves as Executive Director of the NSF-funded National AI Institute for Adult Learning and Online Education (AI-ALOE). His research spans cognitive systems, artificial intelligence, and education, with a focus on computational design, creativity, and AI-driven educational technologies. Professor, School of Interactive Computing, Georgia Tech Chief Scientist, Center for 21st Century Universities Executive Director, NSF’s National AI Institute for Adult Learning and Online Education Goel’s research explores the intersection of AI and cognitive science, particularly in computational design, creativity, and biologically inspired design. His recent work emphasizes AI in education, including virtual teaching assistants like Jill Watson (powered by ChatGPT) and frameworks for scalable, human-centric AI-augmented learning. He investigates explainable AI, multimodal educational systems, and bidirectional feedback mechanisms to enhance personalized learning experiences. Award highlights include: AAAI’s Outstanding AI Educator Award Fellow of AAAI and Cognitive Science Society University System of Georgia Regent’s Award for Scholarship of Teaching and Learning Goel leads the Design Intelligence Laboratory at Georgia Tech, mentoring a team of graduate and undergraduate researchers. His contributions to AI education include pioneering Georgia Tech’s Online Master of Science in Computer Science (OMSCS) program and developing blended learning frameworks. He also co-founded the AI-based educational startup Beyond Question (LLC) in 2020.

Sean AndersonView profile

Senior Lecturer

• Bioinspired Robotics
• Adaptive and Optimal Control
• System Identification
• +3 more

Dr Sean Anderson is a Senior Lecturer at the Department of Automatic Control and Systems Engineering , University of Sheffield , with over 15 years of experience in interdisciplinary research spanning robotics, control systems, and computational biology. He earned his MEng and PhD from the University of Sheffield, focusing on control systems and chemical engineering. Education: MEng in Control Systems Engineering, University of Sheffield (2001) PhD in Chemical and Process Engineering, University of Sheffield (2005) Research Interests include: Bioinspired robotics Adaptive and optimal control in biological systems Nonlinear system identification Computational neuroscience Acoustic and visual sensor fusion for localization His recent publications highlight innovations in robotic localization in hazardous environments, interpretable deep learning for control systems, acoustic sensing technologies, and data-driven modeling of complex systems. Key projects involve autonomous navigation in pipe networks, turbulence modeling, and biomedical signal processing. Grants and Funding: He has secured major grants from EU H2020 (£4M), EU FP7 (£2.9M), and EPSRC (£5.7M), focusing on bioinspired control algorithms, robotic safety, and infrastructure assessment. Teaching: He leads the ACS61011 Deep Learning module, emphasizing practical applications in robotics and signal processing.

Mike RubensteinView profile

Assistant Professor

• Swarm Robotics
• Multi-Robot Systems
• Decentralized Control
• +3 more

Mike Rubenstein is an Assistant Professor with joint appointments in the Department of Computer Science and Department of Mechanical Engineering at Northwestern University. He holds the Lisa Wissner-Slivka and Benjamin Slivka Professorship in Computer Science and is affiliated with the Center for Robotics and Biosystems. His educational background includes a Ph.D. in Computer Science from the University of Southern California, an M.S. in Electrical Engineering from USC, and a B.S. in Electrical Engineering from Purdue University. Prior to joining Northwestern, he completed a postdoctoral fellowship at Harvard University's Self-Organizing Systems Research Group. Rubenstein's research focuses on advancing multi-robot systems to enable capabilities beyond traditional single robots, emphasizing parallelism, adaptability, and fault tolerance at scale (hundreds to millions of robots). His work spans swarm shape control, modular self-reconfigurable robotics, bio-inspired satellite constellations, and novel sensing for air vehicle swarms. Key themes include algorithmic control for large-scale systems and hardware innovations to overcome current limitations in swarm robotics. His advising has produced notable student achievements, including Petras Swissler's Best Student Paper Award at DARS 2021 and Drew Curtis's NDSEG Fellowship. Research trends across his publications reveal a consistent emphasis on scalability, real-world applicability, and bridging hardware constraints with algorithmic innovation in swarm systems. Rubenstein actively mentors graduate students and leads projects involving swarm robotics platforms like FireAnt and PCBot. His lab focuses on developing systems where simplicity in individual robots enables emergent complexity at the swarm level, with applications ranging from space exploration to medical imaging.

Andrey AnikinView profile

Associate Professor

• Vocal Communication
• Emotion
• Nonverbal Vocalizations
• +7 more

Andrey Anikin is an Associate Professor and Researcher in Cognitive Science at the Department of Philosophy, Lund University. His work focuses on vocal communication and emotions, exploring how the voice conveys information beyond linguistic codes through nonverbal vocalizations and acoustic phenomena. Research Interests Dr. Anikin investigates how vocal qualities like roughness, laughter, and screams convey emotional and social information. His research takes a cognitive and biological approach, examining sensory biases and auditory attention in vocal communication. His work aims to illuminate the evolutionary origins and universal features of vocal communication across human cultures and animal species. Key areas include emotion perception, nonverbal vocalizations, acoustic analysis, and vocal communication systems. Research Output Trends Dr. Anikin's recent publications (2025) demonstrate a strong focus on acoustic properties of vocalizations across species. His work bridges biology, psychology, and acoustics with methodological innovations in analyzing nonlinear phenomena, voice roughness, and formant structures. His research shows increasing interdisciplinary collaboration, particularly with zoologists and signal processing experts, while maintaining a core focus on the cognitive mechanisms underlying vocal communication. Research Projects What makes baby cries impossible to ignore? (2024-2026): Funded by the Swedish Research Council, this active project investigates the sensory mechanisms behind infant cry perception. Sensory biases in nonverbal communication (2021-2023): A completed project funded by the Swedish Research Council that examined how sensory systems shape nonverbal communication. Research Environment Dr. Anikin is affiliated with the Cognitive Zoology Group and the Lund University Cognitive Science (LUCS) program. He contributes to the LU Profile Area: Natural and Artificial Cognition. His work connects with the UN Sustainable Development Goals through interdisciplinary research on communication and cognition, with implications for understanding human well-being and social interaction.