Find Academic Supervisors

• Photonics
• Laser Technology
• Machine Learning
• +5 more

Professor Robert Eason is a leading academic at the University of Southampton, specializing in photonics and laser technology. His research spans interdisciplinary areas combining Machine Learning , Medical Diagnostics , and Microfluidics . Research Interests : Eason focuses on AI-driven laser applications, including deep learning for phototherapy , autonomous laser machining , and low-cost paper-based diagnostic devices . His work bridges photonics with biomedicine and advanced manufacturing. Recent Publications : His 2025 article in Scientific Reports explores AI simulations for psoriasis treatment, while 2024-2022 works address laser-controlled microfluidics, deep learning in microscopy, and reinforcement learning for laser machining. Supervision : He supervises PhD student Georgia Mourkioti in laser-based research projects. External Roles : Eason has served as a speaker at international conferences including the International Symposium on Laser Precision Microfabrication (2018), LAISER (2019), and Deep Learning for Control of Light-Matter Interactions (2022).

• Computer Graphics
• Rendering Algorithms
• Photo-realistic Rendering
• +9 more

Philip Dutré is a full professor at the Department of Computer Science , Faculty of Engineering Science , KU Leuven. He leads the Computer Graphics Research Group and chairs the Human-Computer Interaction division . His teaching portfolio includes courses on algorithms, data structures, and computer graphics fundamentals. Research Focus : Rendering algorithms, photo-realistic and image-based rendering, perceptual-based rendering, material models, and intuitive controls for computer animation. He explores deep learning applications in global illumination and uses quantum field theory for efficient light transport in participating media. Publications : Recent work includes advancements in temporal coherence for light transport (2017–2023), functional integrals for scattering models (2025), and optimization of spatial data structures (2019). Teaching Innovations : Advocate for ungrading (feedback-only assignments), flipped classroom techniques, and interactive learning. His approach emphasizes conceptual understanding over rote memorization, with structured, self-contained lessons and active student engagement. Leadership : Serves on multiple academic councils and committees including the Commission on Research Integrity and Student Services Council .

Sara BernardiniView profile

Professor

• Artificial Intelligence
• Automated Planning
• Robotics
• +4 more

Professor Sara Bernardini is a leading academic in Artificial Intelligence at the University of Oxford's Department of Computer Science, where she holds a joint appointment as a Tutorial Fellow at Mansfield College. Her research specializes in decision-making for autonomous systems, automated planning, and robotics, with applications in extreme environments like space missions, nuclear decommissioning, and offshore energy. She bridges theoretical AI with real-world challenges through projects funded by Innovate UK, EPSRC, NERC, and the Alan Turing Institute. Her research interests span: Autonomous Systems : Developing agents that support humans in complex cognitive tasks. Automated Planning : Algorithms for goal recognition, pathfinding, and multi-agent coordination. Robotics : Solutions for subterranean exploration, offshore wind farms, and UAV operations. AI Safety : Risk-aware autonomous systems and interpretable decision-making. Bernardini's publications emphasize algorithmic robustness in path planning, multi-agent coordination , and real-world AI deployments . Recent work explores goal legibility in uncertain environments, energy-efficient robotics, and AI education tools. Her 65+ papers in top venues (e.g., AIJ, JAIR, ICAPS) show a trend toward safety-critical applications and human-AI collaboration. Awards & Leadership: ICAPS-2020 Best Paper Honorable Mention Executive Council Member, Association for the Advancement of Artificial Intelligence (AAAI) Program Chair, International Conference on Automated Planning and Scheduling (ICAPS 2024) Associate Editor, Artificial Intelligence Journal She leads interdisciplinary teams for projects like autonomous offshore wind farm maintenance and modular robots for extreme environments. As Principal Scientist at the UK National Oceanography Centre, she advanced marine robotics. She mentors PhD candidates and collaborates globally (e.g., NASA Ames, MIT).

Krishnan BhaskaranView profile

Professor

• Cancer epidemiology
• Statistical epidemiology
• Pharmacoepidemiology
• +5 more

Krishnan Bhaskaran is a Professor of Statistical Epidemiology at the London School of Hygiene & Tropical Medicine (LSHTM) , affiliated with the Faculty of Epidemiology and Population Health and the Department of Non-communicable Disease Epidemiology . He leads the Beyond Cancer research group , supported by a Wellcome Senior Research Fellowship . He co-founded the OpenSAFELY platform for real-time pandemic data analysis. Education: Background in Mathematics and Medical Statistics Research Interests: Cancer survivorship, cardiovascular and mental health outcomes in cancer survivors, pharmacoepidemiology of drug interactions, and methodological advancements in electronic health records analysis Publication Trends: His recent work focuses on long-term health consequences of cancer and its treatments, drug interactions in cardiovascular therapies, and the impact of chronic conditions on cancer risk. Many studies utilize large UK datasets and the OpenSAFELY platform. Scientific Awards: Wellcome Senior Research Fellowship Grants & Leadership: He has secured major funding from Cancer Research UK , British Heart Foundation , and Wellcome Trust to investigate cardiovascular risks post-cancer, health inequalities in endocrine therapy adherence, and drug safety in anticoagulant use.

Suyash GuptaView profile

Assistant Professor

• Distributed Systems
• Databases
• Blockchain
• +6 more

Suyash Gupta is a Tenure-Track Assistant Professor in the Department of Computer Science at the University of Oregon, where he leads the Distopia Laboratory and co-leads the Oregon Networking Research Group. His expertise lies in distributed systems, databases, blockchain technologies, fault tolerance, and federated learning. Education: Ph.D. in Computer Science, University of California, Davis (2022) M.S. in Computer Science, Purdue University (2017) M.S. (Research) in Computer Science, Indian Institute of Technology Madras Research Focus: Dr. Gupta’s research is centered on designing efficient distributed, decentralized, and blockchain systems that are resilient to arbitrary failures and can scale across wide-area networks. His work spans consensus protocols, Byzantine fault tolerance, secure transaction processing, and federated learning systems. He has contributed foundational work in permissioned blockchain architectures and fault-tolerant distributed databases. Scientific Contributions & Awards: Best Paper Award, EuroSys 2023 Distinguished Reviewer Award, SIGMOD 2025 Best Graduate Researcher Award, UC Davis Author of Fault-Tolerant Distributed Transactions on Blockchain , Morgan & Claypool Teaching & Mentorship: He currently teaches advanced courses like CS 607: Hot Topics in Systems and CS 451/551: Database Processing . He actively mentors a diverse group of PhD and MS students, including Nihal Balivada, Shistata Subedi, Neil Sharma, and others from institutions like UC Davis and BITS Pilani. Labs & Teams: Dr. Gupta leads the Distopia Laboratory at UO and co-leads the Oregon Networking Research Group , both focused on cutting-edge research in distributed systems and secure networked architectures.

Jackson G. LuView profile

Associate Professor

• Cultural Psychology
• Organizational Behavior
• Artificial Intelligence Ethics
• +3 more

Jackson G. Lu is the General Motors Associate Professor of Management and an Associate Professor of Work and Organization Studies at the MIT Sloan School of Management. His scholarly work bridges cultural psychology with organizational behavior, examining how cultural differences manifest in AI adoption, creativity, and leadership dynamics. He serves as senior editor for Organization Science and Management and Organization Review , and associate editor for Journal of Personality and Social Psychology . Dr. Lu earned his PhD from Columbia Business School in 2018 and received tenure at MIT in 2023. His research has been published in top-tier journals across psychology, management, and general science domains, including Nature Human Behaviour , Psychological Bulletin , and Annual Review of Psychology . His work has garnered over 300 media mentions globally. Cross-Cultural Psychology AI Ethics and Creativity Leadership Emergence Stereotype Research Technological Adoption Workplace Diversity Recent research focuses on cultural tendencies in generative AI , AI's impact on creativity , and structural barriers faced by Asian professionals . He has received numerous accolades from professional societies including the Wegner Theoretical Innovation Prize and multiple Best Senior Editor Awards. 40 Best Business School Professors Under 40 Thinkers50 Radar Class of 2021 Academy of Management Award Outstanding Dissertation Award (2019) SAGE Early Career Award Dr. Lu teaches through MIT Sloan Executive Education's 5-day program Leading the AI-Driven Organization , and his findings have been featured in The New York Times , BBC , and The Economist . His editorial leadership spans multiple journals, reflecting his influence across academic networks.

Cynthia BrewerView profile

Professor

• cartographic communication
• visualization
• map design
• +7 more

Cynthia Brewer is a Professor of Geography and Information Sciences and Technology at Pennsylvania State University. She currently serves as the Associate Dean for Faculty Affairs in the College of Information Sciences and Technology (IST), a position she began in August 2024. Previously, she was a faculty member in the College of Earth and Mineral Sciences (EMS) where she served as head of the Department of Geography from 2014 to 2021. Dr. Brewer's research focuses on cartographic communication and visualization, map design, color theory, multi-scale mapping, atlas production, and topographic maps. She is especially well known for her ColorBrewer online tool for selecting map color schemes and her work on ScaleMaster for organizing multiscale mapping. Her research falls primarily within the Geospatial Big Data Analytics and Spatial Modeling and Remote Sensing research clusters at Penn State. Her publications include more than 30 peer-reviewed articles and 60 additional publications and cartographic design resources, generating over 7,000 citations. She has authored four books, including the popular 'Designing Better Maps' with the 3rd edition published by Esri Press in 2024. Carl Mannerfelt Gold Medal from the International Cartographic Association (ICA) in 2023 O. M. Miller Cartographic Medal from the American Geographical Society (AGS) in 2019 Henry Gannett Award for Exceptional Contributions to Topographic Mapping from the U.S. Geological Survey (USGS) in 2013 EMS Wilson Award for Outstanding Service in 2014 As an administrator, Dr. Brewer has extensive experience in departmental leadership, having served as head of the Department of Geography for seven years. She has also served on numerous university committees, was elected to the University Faculty Senate, and served as an Administrative Fellow shadowing the Provost. She is not currently taking on graduate advisees due to her full-time administrative role in IST.

April WeiView profile

Assistant Professor

• Computational Genetics
• Population Genetics
• Statistical Genetics
• +10 more

April Wei is an Assistant Professor in the Department of Computational Biology at Cornell University, where she leads the Wei Lab in Computational Genetics. Her research focuses on developing scalable computational methods to analyze massive genomic datasets, addressing fundamental questions in evolutionary processes and human genetics. B.Sc. in Biology, Fudan University (2013) Ph.D. in Computational Biology, University of Michigan (2018) Postdoctoral Research at UC Berkeley and UCLA Joined Cornell in January 2022 The Wei Lab explores diverse areas such as population genetics , computational genetics , and natural selection , with applications in human evolution , gene conversion , and complex traits . Their work leverages graph-based data structures and deep learning to improve genomic analysis scalability. April's research trajectory, as reflected in her publications, emphasizes genomic data compression , selective sweep detection , and ancestral recombination graph (ARG) analysis . Her lab's outputs span algorithm development for biobank-scale data, evolutionary modeling of overlapping genes, and statistical frameworks for gene conversion landscapes. April mentors a team of Ph.D. students and postdoctoral researchers, including current advisees Ziqing Pan, Meera Chotai, Jinmin Li, Aditya Girish, and Lin Yuan, with notable alumni such as Siddharth Avadhanam (2023). The lab is supported by NIH and NSF grants. Lab culture prioritizes collaboration , inclusivity , and scientific curiosity , with social activities like lab barbecues, game nights, and group hikes. April is also a passionate fan of Star Wars and water sports.

Simon RothöhlerView profile

Professor

• Visual Culture
• Media Studies
• Digital Humanities
• +4 more

Simon Rothöhler is a Professor of Visual Culture and Media Infrastructure at the Ruhr University Bochum , affiliated with the Institute for Media Studies . His research examines the intersection of digital media, archival systems, and infrastructural aesthetics. Chair: Visual Culture and Media Infrastructure Contact: simon.rothoehler@rub.de Research Focus Rothöhler investigates: Virtual image archives and their historical contexts Techno-aesthetics of digital systems Forensic visualization practices Media infrastructure studies Operational images in computational environments Epistemological dimensions of digital imagery Publications & Projects Active in publishing and organizing workshops, Rothöhler collaborates on projects like the Virtual Image Archives book and SFB-Workshops on imagelessness and virtual collections. His work bridges media theory with practical digital archiving challenges. Teaching He contributes to academic programs through lectures and supervision in media studies and digital humanities, focusing on contemporary media aesthetics and infrastructure.

Cheng ZhangView profile

Associate Professor

• Human-Computer Interaction
• Ubiquitous Computing
• Wearable Technology
• +4 more

Cheng Zhang is an Associate Professor (with Tenure) in Information Science and a Field Member in Computer Science at Cornell University. He directs the Smart Computer Interfaces for Future Interaction (SciFi) Lab , focusing on integrating human-centered AI with advanced sensing technologies to empower everyday wearables. Ph.D. in Computer Science, Georgia Institute of Technology (2020) M.S. in Software Engineering, Chinese Academy of Sciences B.S. in Software Engineering, Nankai University His research examines how to solicit information on and around the human body to address real-world challenges in interaction, health sensing, and activity recognition. He builds novel sensing systems spanning hardware prototypes, algorithm design (machine learning and physics-based modeling), and high-impact applications in accessibility and health. Article Trends : His recent work includes low-power, minimally intrusive wearables (e.g., EchoForce for muscle activity tracking, Ring-a-Pose for hand poses, SeamFit for smart clothing) using acoustic sensing and machine learning. The 15 most recent articles span 2025–2023, with applications in silent speech, authentication, and pose estimation. Scientific Awards : NSF CAREER Award Ubicomp 10-Year Impact Award Best Paper Honorable Mentions at ISWC’24 and ISWC’23 Advising : Mentored Ph.D. students like Ruidong Zhang (Qualcomm Fellowship recipient) and Ke Li, with research featured in Cornell Chronicle and IEEE Spectrum .

Tristan A.F. LongView profile

Associate Professor

• Evolutionary genetics
• Behavioral ecology
• Experimental evolution
• +3 more

Dr. Tristan A.F. Long is an Associate Professor in the Department of Biology at Wilfrid Laurier University's Faculty of Science in Waterloo, Ontario. A behavioral ecologist and evolutionary geneticist, he focuses on sexual selection and the role of female mate preference variation in evolutionary change. With teaching responsibilities for large introductory biology courses like BI111 and BI393, he has developed innovative active learning techniques using playing cards, iClickers, and role-playing games to teach population genetics and ecological principles. University of Western Ontario - BSc in Honours Ecology and Evolution (1999) University of Guelph - MSc in Zoology (2001) Queen’s University - PhD in Biology (2005) University of California Santa Barbara - Postdoctoral Fellow (2005-2009) University of Toronto - Postdoctoral Fellow (2009-2010) His research examines how female Drosophila melanogaster vary in their mating preferences and how these differences shape evolutionary trajectories. He has published extensively on reproductive plasticity, sexual conflict, and environmental interaction effects. His laboratory combines experimental evolution with computational modeling to explore genetic trade-offs and behavioral adaptations. Scientific awards include the Laurier Teaching Award for Sustained Excellence (2017). He has developed innovative classroom techniques like the Battle of the Beaks exercise for teaching adaptive evolution and an iClicker-based population genetics simulation using playing cards. His 2024 BI393 biostatistics course policy strongly discourages generative AI use due to concerns about educational integrity and environmental impact.

• Medical Image Analysis
• Machine Learning
• Multiple Instance Learning
• +3 more

Ario Sadafi is a researcher at the Technical University of Munich (TUM) , affiliated with the Chair of Computer Science Applications in Medicine under Prof. Nassir Navab. His work spans medical image analysis , machine learning , and computational pathology , with a strong focus on developing AI-driven solutions for microscopic imaging in hematology and oncology. Research Focus: Multiple Instance Learning for weakly supervised medical image classification. Explainable AI for biomedical single-cell imaging. Continual and cross-domain learning for robust diagnostic models. Microscopic image analysis for blood cell disorders and leukemia subtyping. Teaching Contributions: Sadafi has been actively involved in teaching courses such as Computer Aided Medical Procedures , Medical Augmented Reality , and Deep Learning for Medical Applications . He also supervises practical courses and seminars in 3D Computer Vision and Machine Learning in Medical Imaging . Labs & Collaborations: He works closely with the MEDIA (Medical Image Analysis) and NARVIS labs at TUM, contributing to projects in surgical data science , generative models , and robotics & ultrasound . Publications Impact: His research output (2018–2025) emphasizes AI-driven hematology , with applications in red/white blood cell classification, leukemia subtype diagnosis, and interpretable deep learning models for clinical use.

Joshua NevesView profile

Associate Professor

• global media
• digital culture
• cultural theory
• +13 more

Joshua Neves is an Associate Professor at Concordia University , affiliated with the Global Emergent Media (GEM) Lab as its Director. His research spans global and digital media, cultural and political theory, China/Asia studies, and media urbanism, focusing on themes like (over)development, digital ethnography, and informal media networks. Research Keywords: global media, digital culture, cultural theory, political theory, China, Asia, video, television, piracy, urbanism Teaching: Courses include Cinemas of Under/Overdevelopment , Technology and Intimacy , and Media Genealogies of the Digital . His scientific awards include the Canada Research Chair , highlighting his leadership in media studies. Publications such as Technopharmacology (2022) and Underglobalization (2020) reflect his interdisciplinary approach, merging media theory with political and cultural critique. Neves’ recent article trends explore optimization ideologies, pandemic platforms, and the intersection of convenience with inequality. His work bridges media studies with postcolonial theory, emphasizing the geopolitical implications of digital cultures.

Martin BechtholdView profile

Professor

• Architectural Technology
• Materials Science
• Design Engineering
• +4 more

Martin Bechthold is the Kumagai Professor of Architectural Technology at Harvard University’s Graduate School of Design (GSD), serving concurrently as the GSD’s Academic Dean. He holds affiliations with Harvard’s Paulson School of Engineering and Applied Sciences and the Wyss Institute for Biologically Inspired Engineering. His academic career bridges architecture, materials science, and engineering, with a focus on innovative material systems and design robotics. Bechthold earned a Diplom-Ingenieur in architecture from RWTH Aachen University and a Doctor of Design from Harvard GSD. He previously practiced architecture in Europe with firms like Skidmore, Owings & Merrill and Santiago Calatrava. His research groups, including the Material Processes and Systems (MaP+S) Group and the Design Robotics Group, explore topics like multi-material 3D printing, carbon-negative materials, and biofabrication. He founded the Laboratory for Design Technology to foster industry-academia collaborations. His research interests span structural innovation, architectural ceramics, and the perception of materials. He has authored seminal works such as Innovative Surface Structures and Ceramic Material Systems , and his peer-reviewed papers appear in Nature Reviews and Advanced Functional Materials . He teaches advanced courses on material systems, design methods, and structural design. Bechthold’s work emphasizes sustainable technologies and cross-disciplinary design, with projects like the Concrete Origami and Ceramic Futures exhibitions showcasing experimental material applications. He holds patents in material innovation and has curated influential design exhibitions.

Stefano GogiosoView profile

Academic

• Quantum Computing
• Quantum Theory
• Quantum Software
• +3 more

Stefano Gogioso is a Departmental Lecturer at the University of Oxford , specializing in quantum theory and quantum software. He holds a DPhil in Computer Science from Oxford (2013–2017) and advanced degrees from Cambridge (MASt, BA) and the University of Genova (MSc, BSc). As a Fellow at Kellogg College and co-founder of Hashberg Ltd , he develops quantum programming tools and focuses on quantum causal structures, quantum field theory, and natural language processing applications. His research bridges foundational quantum theory with practical applications, including near-term quantum computing and educational outreach through visual methods like Quantum in Pictures . Research Interests: Quantum foundations, quantum software, categorical quantum mechanics, quantum field theory, and quantum causality. His work emphasizes pictorial formalisms and compositional methods, with contributions to indefinite causality, quantum cellular automata, and quantum natural language processing (QNLP). Key Contributions: Published over 25 papers, including works on causal polytopes, categorical Feynman diagrams, and QNLP pipelines. Co-developed Hashberg 's quantum programming tools and serves as a mentor for AI initiatives at CDL-Oxford. His thesis introduced dynamics in categorical quantum mechanics, addressing symmetry and quantum clocks. Teaching: Teaches quantum computing courses for MSc/MFoCS students, professionals, and continued education. Courses include Quantum Software , Quantum Computing for Software Engineers , and bespoke corporate training. Labs/Teams: Part of the Oxford Quantum Group and involved in collaborative projects with industry and academia. Advising: Supervised students like Nicola Pinzani (causal orders) and Maria Stasinou (quantum field theory). Grants/Awards: Not explicitly listed, but recognized for contributions to quantum foundations and education.