Find Academic Supervisors

• Journalism values and practice
• Digital media studies
• News design
• +6 more

Dr. John O'Sullivan is a Professor in the School of Communications at Dublin City University (DCU), part of the Faculty of Humanities and Social Sciences. He has been teaching since 1996, specializing in journalism, media theory, and technology's societal impact. His research focuses on journalism practice, digital media, news audiences, and media ethics, particularly through projects like the EU-funded ReMED initiative examining news media in Ireland. He has held leadership roles, including Chair of the MA in Journalism program and Vice-President of the Journalism Studies Section at ECREA. His academic background includes extensive experience in newspaper editing and digital media initiatives. Research interests span media formats/platforms, participatory journalism, and the interplay between technology and democracy. He has supervised PhD students exploring digital news strategies, Southeast Asian journalism norms, and social media's democratic role. O'Sullivan's work bridges traditional and digital media, emphasizing post-digital journalism's challenges and opportunities. Publications span peer-reviewed journals like Journalism and Digital Journalism , addressing topics such as news consumption, algorithmic impact, and participatory methodologies. He has contributed to international conferences and research networks, including COST Actions on audience transformations and Eastern European media studies. His teaching emphasizes professional journalistic values in evolving media landscapes.

Margaret GreenwaldView profile

Associate Professor

• Adult neurogenic communication disorders
• Cognitive neuropsychology
• Stroke rehabilitation
• +3 more

Margaret Greenwald serves as Associate Professor and Ph.D. Coordinator in the Department of Communication Sciences and Disorders (CSD) within Wayne State University's College of Liberal Arts and Sciences. Previously department chair (2014-2020), she is a Licensed and Certified Speech-Language Pathologist (CCC-SLP) recognized in 2022 as Wayne State's Outstanding Graduate Mentor in the health sciences. Her academic credentials include: M.A. in Speech-Language Pathology (University of Florida) Ph.D. in Communicative Sciences and Disorders (University of Florida) Post Doctoral Research Training in Cognitive Neuropsychology (University of Maryland, Department of Neurology) Dr. Greenwald's research centers on adult neurogenic communication disorders , specializing in aphasia, traumatic brain injury, and stroke rehabilitation through cognitive neuropsychology. Her work employs Magnetoencephalography (MEG) to map brain-behavior relationships during language and musical processing tasks, revealing critical insights for rehabilitation. She actively bridges clinical practice with neuroscience to develop evidence-based interventions. Analysis of her recent publications shows consistent focus on neuroimaging applications for understanding language disorders, with growing emphasis on telepractice implementation and the cognitive effects of musical training. Her work demonstrates strong translational value, connecting basic neuroscience to clinical rehabilitation protocols while maintaining rigorous methodological standards. Her scientific recognition includes: Outstanding Graduate Mentor in the Health Sciences, Wayne State University (2022) As an educator, Dr. Greenwald teaches graduate courses in aphasia, neuromuscular speech disorders, research methods, and doctoral seminars, plus undergraduate speech-language pathology instruction. She supervises doctoral research as Ph.D. coordinator and mentors students through clinical research projects. Her teaching integrates current neuroscience findings with clinical practice standards. She maintains active professional engagement through memberships in the American Speech-Language Hearing Association (ASHA), Academy of Aphasia, and International Neuropsychological Society, contributing to both clinical guidelines development and research community advancement.

Kate HoView profile

Professor

• Health Economics
• Healthcare Markets
• Industrial Organization
• +3 more

Kate Ho is the John L. Weinberg Professor of Economics and Business Policy at Princeton University, where she also co-directed the Center for Health and Wellbeing (2018–2024). Her research focuses on the industrial organization of healthcare markets, with expertise in pharmaceutical policies, health insurance design, and provider-insurer interactions. She holds affiliations with the National Bureau of Economic Research (NBER) and the Center for Economic Policy Research (CEPR). Education includes a Ph.D. in Business Economics from Harvard University (2005) and degrees in Mathematics from Cambridge University (1993). Prior to academia, she served as Chief of Staff to the U.K. Minister of State for Health (1993–1997). Research interests emphasize healthcare market structure, drug pricing, and insurance competition. Recent work addresses formulary design, copayment coupons, and ACO savings. Awards include the Frisch Medal (2020) and Arrow Award (2010). She has edited leading journals like Econometrica and the RAND Journal of Economics . Teaching spans graduate courses in industrial organization and health economics at Princeton. Over 30 Ph.D. students have been advised, with placements at universities, policy institutions, and corporations. Active in professional service, including roles at the Congressional Budget Office and editorial leadership in economics. Labs/Teams: Co-leads Princeton’s Health and Wellbeing initiatives. Collaborates with researchers on projects funded by grants like the Commonwealth Fund ($50,000, 2015).

• Human-Computer Interaction
• Extended Reality (XR)
• Mobile Health Sensing
• +6 more

Karan Ahuja is the Lisa Wissner-Slivka & Benjamin Slivka Assistant Professor of Computer Science at Northwestern University, directing the Sensing, Perception, Interactive Computing & Experiences (SPICE) Lab. He earned his Ph.D. in Human-Computer Interaction from Carnegie Mellon University (2023) and a B.Tech. in Computer Science (2017). His research focuses on creating technologies that sense and understand human behavior, with applications in mobile health, extended reality, and natural user interfaces. Key projects include LemurDx for ADHD diagnosis, EITPose for wearable hand pose tracking, and MobilePoser for full-body pose estimation via consumer IMUs. Awards include Forbes 30 Under 30 (2024), MIT 35 Innovators Under 35 Asia Pacific, and ACM SIGCHI's Outstanding Dissertation Award. He has worked at Google, Apple, Microsoft Research, Meta Reality Labs, and IBM Research. His lab emphasizes real-world deployments, with technologies licensed and integrated into products used by millions. Prospective students are invited to join his lab at Northwestern via a dedicated application form. Research spans embedded systems, computer vision, and on-device ML, with a focus on impactful applications in healthcare and XR.

Kevin Leyton-BrownView profile

Professor

• Artificial Intelligence
• Machine Learning
• Game Theory
• +5 more

Kevin Leyton-Brown is a Professor of Computer Science at the University of British Columbia (UBC), holding a Canada CIFAR AI Chair at the Alberta Machine Intelligence Institute (Amii). He is also an Associate Member of the Vancouver School of Economics and a Fellow of the Royal Society of Canada, ACM, and AAAI. His research focuses on AI, machine learning, computational economics, and game theory, with notable contributions to algorithmic market design, heuristic algorithms, and large language models. He co-authored influential textbooks on multiagent systems and game theory, and his work has been recognized with prestigious awards including the INFORMS Franz Edelman Award and the Killam Teaching Prize. Education: PhD (Computer Science), Stanford University; MSc (Computer Science), Stanford University; BSc (Computer Science), McMaster University. Research Interests: Artificial Intelligence, Machine Learning, Game Theory, Computational Economics, Algorithmic Game Theory, Market Design, and Large Language Models. He has developed impactful tools like SATzilla, AutoWEKA, and Mechanical TA, and contributed to high-stakes projects such as spectrum auction design and Ugandan agricultural market platforms. Awards & Recognition: Royal Society of Canada Fellow (2023), ACM SIG-KDD Research Track Test of Time Award (2023), INFORMS Franz Edelman Award (2018), ACM Fellow (2020), AAAI Fellow (2018), Killam Teaching Prize (UBC), and numerous paper awards from top conferences like AAAI, ICML, and ACM-EC. Leadership & Affiliations: Director of UBC’s CAIDA and AIM-SI research clusters, former Chair of ACM SIG-Ecom, and advisor to companies like AI21 Labs and Auctionomics. He has held visiting roles at institutions including MIT, Harvard, and the Simons Institute.

Eleni BoziaView profile

Associate Professor

• Digital Humanities
• Classical Studies
• AI Applications in Humanities
• +4 more

Eleni Bozia is an Associate Professor of Classics and Digital Humanities at the University of Florida. She leads the Data-Driven Humanities Research Group and serves as Associate Director of the Digital Epigraphy and Archaeology Project, focusing on 3D digitization of cultural heritage and AI integration in humanities. Her research explores linguistic/cultural diversity in Imperial Greek/Latin literature and its intersections with modern globalism. Bozia holds dual doctorates from the University of Florida (2009) in Classical Studies and Universität Leipzig (2018) in Digital Humanities. Her scholarly work bridges classical studies with digital innovation, including computational analysis of ancient texts, virtual reality for experiential learning, and collaborative global preservation initiatives. Recognized with awards from La Fondation Hardt and the American Academy in Rome, her contributions span peer-reviewed articles, edited volumes, and public engagements like TEDx talks. She actively promotes interdisciplinary collaboration through roles in the Florida Digital Humanities Consortium and the Literary Encyclopedia. Bozia’s research portfolio includes groundbreaking books on Lucian’s works, multilingual practices in antiquity, and digital epigraphy. She advocates for reimagining classical pedagogy through technology, emphasizing accessibility and relevance for younger generations. Her lab’s projects like the Digital Rosetta Stone and 3D artifact preservation redefine how ancient knowledge is studied, shared, and experienced in the digital age.

Laura MarusterView profile

Assistant Professor

• Process Mining
• Process Modelling
• Healthcare Networks
• +5 more

Laura Maruster is an Assistant Professor at the Faculty of Economics and Business, University of Groningen, Netherlands. She holds an MSc from the West University of Timisoara, Romania, and a PhD in Technology Management from Eindhoven University of Technology, Netherlands. Her research focuses on process mining, process modelling, and healthcare networks, with applications in operations research and data science. She collaborates extensively with industry and public sector partners on projects like the Casimir initiative (RuG and Gasunie). Teaching areas include business processes, data mining, and research methodology. Recent work includes studies on healthcare logistics optimization and process mining beyond traditional workflows. Her publications appear in leading journals such as BMJ Open , IEEE Transactions on Engineering Management , and Computers in Industry . Research interests span healthcare networks, emergency medical services analytics, and enterprise process optimization. Notable recent contributions include analyzing interhospital patient transfers and redesigning engineering design processes using data-driven methods.

• IoT Systems
• Data Quality
• Fog Analytics
• +7 more

John Byabazaire is a Research Fellow at the School of Computer Science, University College Dublin (UCD). He holds a PhD in Computer Science from UCD (2024), following a BSc (Gulu University, 2013) and MSc (Waterford Institute of Technology, 2018). His research focuses on IoT systems for data collection, remote sensing, AI-driven end-to-end system management, and fog analytics. He has held academic roles including Assistant Lecturer at Gulu University (2018–2019) and teaching roles at UCD since 2019, including Occasional Lecturer and Senior Teaching Assistant. His research spans smart agriculture, data quality in IoT, and education technology. Notable contributions include frameworks for yield mapping in precision agriculture, trust-based data validation in IoT, and machine learning approaches for livestock health monitoring. He has secured grants like the National ICT Initiatives Support Program (Uganda Government, 2019–2020). Teaching includes courses on cloud computing, web development, and distributed systems. His articles emphasize IoT data quality, agricultural analytics, and educational technology innovation. He actively promotes technology adoption in African education and agriculture sectors through collaborative projects.

• Resilient Urban Design
• Green Infrastructure
• Socio-Ecological Systems
• +6 more

Michelle Laboy is an Associate Professor in the School of Architecture at Northeastern University, with affiliate appointments in Civil & Environmental Engineering and the School of Public Policy and Urban Affairs. She holds a Master of Architecture and Urban Planning from the University of Michigan (2005) and a Bachelor of Science in Civil Engineering from the University of Puerto Rico (2001). Her research focuses on transdisciplinary design methods that integrate socio-ecological systems with built environment resilience, emphasizing material circularity and long-term sustainability. Key projects include the Boston LightWells initiative and Common SENSES, which explore community-driven solutions for urban resilience. Laboy has received prestigious awards including the Latrobe Prize (2017 and 2022) and Excellence in Teaching (2020). She co-founded FieLDworkshop, a design research practice addressing ecological and cultural regeneration in cities. Her work bridges architecture, engineering, and policy through projects funded by NSF, DOE ARPA-E, and Autodesk. Research themes include green infrastructure planning, climate-resilient building systems, and participatory modeling for equitable urban development. Laboy has authored/co-authored books such as *The Architecture of Persistence* and over 30 peer-reviewed articles in journals like *Journal of Industrial Ecology* and *Journal of Architecture*. Her teaching spans comprehensive design studios and systems integration courses, emphasizing transdisciplinary collaboration. Education: MArch/MUP, University of Michigan, 2005 BSc Civil Engineering, University of Puerto Rico, 2001 Key Awards: 2022 Latrobe Prize (AIA College of Fellows) 2020 Excellence in Teaching Award (CAMD) 2017 Latrobe Prize (AIA College of Fellows) Grants & Projects: Principal Investigator: Boston LightWells (Autodesk/ Boston Groundwater Trust) Co-PI: Community Resilience in Extreme Temperatures (Northeastern) DOE ARPA-E grant for carbon-negative timber construction Laboy’s practice, FieLDworkshop, operationalizes research into built projects ranging from residential designs to urban-scale interventions. Her scholarly contributions highlight the interplay between technical innovation and social equity in achieving sustainable urban futures.

• Differential Geometry
• Special Holonomy
• Algebraic Topology
• +5 more

Sebastian Goette is a Professor at the Mathematical Institute of the University of Freiburg, where he serves in the Department of Pure Mathematics. His office is located in Room 339 at Ernst-Zermelo-Straße 1, D-79104 Freiburg, Germany. He teaches courses including Differential Geometry, Algebraic Topology, and Mathematics, with office hours held on Wednesdays from 13:00 to 14:00. Professor Goette's research interests center on differential geometry, with particular focus on special holonomy, G2-manifolds, scalar curvature, and topological invariants. His work bridges pure mathematics with applications in mathematical physics, particularly in areas related to string theory and gauge theory. He employs advanced techniques from algebraic topology, spectral geometry, and Riemannian geometry to investigate the structure of manifolds and their classification. Analysis of his recent publications reveals a strong emphasis on the geometry and topology of 7-manifolds with special holonomy, particularly G2-structures. His research spans both theoretical developments in invariant theory and concrete classification results for specific manifolds. The work often involves sophisticated interactions between analysis, topology, and geometry, with applications to mathematical physics. Professor Goette is actively involved in multiple research collaborations, including the Simons Collaboration on Special Holonomy in Geometry, Analysis and Physics, the Research Training Group Cohomological Methods in Geometry, and the DFG Priority Programme Geometry at infinity, where he leads project 04 on Secondary invariants of foliations. He is scheduled to take a sabbatical in summer 2025.

Natalie AgusView profile

Senior Lecturer

• Interactive Computing
• Room Acoustics
• Music Information Retrieval
• +3 more

Natalie Agus is a Senior Lecturer at the Singapore University of Technology and Design (SUTD), specifically within the ISTD (Information Systems Technology and Design) pillar. Her office is located at 1.402.28. She specializes in teaching undergraduate computing courses, including programming languages such as Python, Java, C#, and C/C++. Agus is dedicated to innovating teaching methods to enhance student engagement with academic materials. Her research focuses on room acoustics and music information retrieval, with a particular emphasis on binaural audio processing. Her doctoral work centered on developing perceptually realistic real-time binaural room reverberation algorithms. Agus holds a B.Eng. (Robotics, 2015) and a Ph.D. (Digital Audio Signal Processing, 2018), both from SUTD. Her recent publications explore topics such as binaural room modeling, perceptual evaluation of spectral variance, and energy-based acoustic simulation techniques. She actively participates in collaborative research projects within the audio engineering domain.

• Catalysis Engineering
• Green Chemistry
• Biofuels
• +3 more

Professor Jun Huang is a faculty member in the School of Chemical and Biomolecular Engineering at the University of Sydney, where he holds the rank of Professor and is Director of the Laboratory for Catalysis Engineering. He is also a Domain Leader for Materials at the nanoscale at Sydney Nano Institute and a member of several interdisciplinary institutes, including the China Studies Centre and Sydney Institute of Agriculture. His research focuses on catalysis engineering, with an emphasis on developing sustainable processes for renewable fuels, pollutant treatment, and greenhouse gas mitigation. Huang has held prestigious awards such as the Australia Research Council Future Fellowship (2022) and the Sydney Accelerator Fellowship (2018). Education: Huang earned his PhD from the University of Stuttgart (2008) and completed postdoctoral research at Georgia Institute of Technology and ETH Zurich. He joined the University of Sydney in 2010 as a Lecturer, advancing to Senior Lecturer, Associate Professor, and Professor. Research Interests: Huang's work centers on catalyst design for green chemical processes, including biomass conversion to biofuels, wastewater treatment, and CO2 utilization. He emphasizes sustainable manufacturing and environmental impact reduction through innovative catalytic systems. Current Projects: These include catalytic transformation of hydrocarbons/CO2/biomass, nano-catalysts for renewable energy, and advanced NMR spectroscopy for catalysis analysis. Collaborative projects involve anti-cancer therapies and drug pharmacology studies. Awards: Over 15 awards, including the 2021 ACS Sustainable Chemistry & Engineering Lectureship and 2017 Vice-Chancellor’s Research Excellence Award. Teaching: Huang instructs courses such as CHNG2801 (Conservation Processes), CHNG3802 (Industrial Systems), and advanced chemical engineering topics. He supervises PhD/Master students in catalysis and sustainable engineering. Labs/Teams: Leads the Catalysis Engineering Lab and collaborates with Sydney Nano Institute on nanomaterials research.

Peter NewmanView profile

Professor

• Visitor management in protected areas
• Soundscape/acoustic management in parks
• Transportation management and planning
• +7 more

Peter Newman, Ph.D., serves as Dean of the Rubenstein School of Environment and Natural Resources at the University of Vermont since July 1, 2024, and holds the Suzie and Allen Martin Professor title. With a career spanning decades, he has conducted extensive research on visitor management in protected areas, soundscape management, and transportation planning, partnering with the National Park Service's Natural Sounds and Night Sky Division since 2012. Education Ph.D. in Natural Resources, University of Vermont M.S. in Forest Resource Management, SUNY College of Environmental Science and Forestry B.A. in Political Science, University of Rochester His research focuses on social carrying capacity decision-making in protected area management, with fieldwork across major U.S. parks including Denali, Grand Canyon, and Great Smokies. He has developed frameworks for acoustic management and Leave No Trace efficacy, contributing to sustainable outdoor recreation practices. Scientific Awards: Cooperative Ecosystem Studies Unit National Award (2012) George Wright Society National Award for Achievement in Social Sciences (2013) Throughout his career, Newman has led high-quality teaching at Penn State's Graduate Degree Program in Acoustics and mentored numerous students through research projects on wildlife approach norms, pandemic recreation shifts, and waste management strategies in national parks. He previously served as a Park Ranger in Yosemite and Backcountry Patrol member in Idaho.

• Software Engineering
• Refactoring Techniques
• Technical Debt Management
• +4 more

Christian Newman is an Associate Professor in the Department of Software Engineering at the Golisano College of Computing and Information Sciences, Rochester Institute of Technology (RIT). He serves as the Graduate Program Director and has expertise in software engineering methodologies, refactoring techniques, and source code analysis. His research focuses on improving code quality, developer practices, and automated documentation. Education: Newman holds a BS, MS, and Ph.D. from Kent State University. His academic background aligns with his current research in software engineering and empirical studies. Research Interests: His work emphasizes identifier naming standards, technical debt management, refactoring strategies, and code reuse. He explores how developers perceive and implement refactoring tools, as well as the role of large language models (LLMs) in programming education and code generation. Publications: Newman's recent work includes studies on identifier semantics, part-of-speech tagging for code analysis, and the performance of LLMs in introductory programming tasks. His research often combines empirical studies with tool development, such as SATDBailiff for technical debt tracking and TSDetect for test smell detection. Teaching & Advising: He teaches courses like SWEN-250 (Personal Software Engineering), SWEN-331 (Engineering Secure Software), and graduate-level thesis supervision. His courses emphasize secure development, software design principles, and team-based projects. Tools & Contributions: Newman has developed tools like srcSlice (static slicing), srcType (type resolution), and SCALAR (identifier analysis). These tools support software evolution, code comprehension, and empirical research in the field.

Eivind Rudjord HillesundView profile

Associate Professor

• Mathematics Education
• Engineering Education
• Educational Resources
• +3 more

Eivind Rudjord Hillesund is an Associate Professor in the Department of Mathematical Sciences at the University of Agder. He holds qualifications in teaching mathematics and physics from the University of Oslo's lektorprogrammet and defended his doctoral thesis in January 2021 on engineering students' use of learning resources in mathematics courses. His teaching focuses on statistics courses within GLU programs and assignments in EVU courses at UiA since 2019. Research Interests: Resource use and decision-making in undergraduate mathematics education Educational strategies for engineering students Development of tools for tracking student resource utilization Publications include studies on resource systems analysis, didactical purposes of resources, and data collection methodologies. His work emphasizes improving understanding of how students interact with learning materials in STEM fields.