Find Academic Supervisors

• Educational Equity
• K-12 Education
• Race and Education
• +4 more

Ain A. Grooms serves as an Assistant Professor in the Educational Leadership and Policy Analysis Department at the University of Wisconsin-Madison School of Education. Her research centers on K-12 educational equity, specifically examining access and outcomes for students of color and traditionally disenfranchised communities through the critical lens of race and place. She investigates how educational policies impact student achievement and leadership practices across school, district, and state levels. Her primary research domains include: Educational equity frameworks and implementation Race and place intersections in policy analysis Retention strategies for educators of color Equity-focused principal pipeline development Computer science education policy implementation Chronic absenteeism in marginalized communities Analysis of Dr. Grooms' recent publications reveals a consistent focus on dismantling systemic barriers through leadership development and policy innovation. Her work examines how educational leaders navigate racialized contexts, with particular attention to computer science equity, pandemic response adaptations, and the sustainability of equity-focused initiatives. Publications span high-impact journals including Educational Policy and Urban Education, demonstrating rigorous mixed-methods approaches to educational justice. Her scholarship connects theoretical frameworks with practical leadership applications, emphasizing community-engaged solutions to persistent educational inequities. Current projects investigate institutional responses to demographic shifts and the development of counterspaces for marginalized students and educators.

Rob RouseView profile

Lecturer

• Maker Education
• STEM Education
• Integrated Learning Environments
• +4 more

Dr. Rob Rouse is a Lecturer at the School of Education, University of Queensland , with expertise in maker education and integrated STEM learning environments . Previously, he taught chemistry at a New York City performing arts secondary school through the New York City Teaching Fellows and served as former Director of the Southern Methodist University (SMU) Maker Education Project , co-founded with SMU's School of Engineering. PhD in Learning, Teaching, and Diversity from Vanderbilt University's Peabody College Current research focuses on supporting teachers to utilize school makerspaces for innovative, hands-on instruction Collaborates with informal STEM organizations to provide professional development for educators His work explores inclusive makerspace design , mobile instructional spaces , and K-12 teacher training . Publications emphasize systematic reviews of makerspace research , best practices for mobile STEM spaces , and culturally relevant maker pedagogy . While no specific scientific awards are listed, his projects like the MakerTruck mobile makerspace demonstrate practical impact. Dr. Rouse supervises PhD research on topics including maker pedagogy , differentiated science learning , and gender dynamics in STEM education . He actively partners with teams at institutions like the International Symposium on Academic Makerspaces and Australian Technology Education Research Conference .

• Business Administration
• Leadership in Crisis Management
• Entrepreneurship
• +4 more

Dr. Mike Barger is a Clinical Assistant Professor of Business Administration and Area Chair at the Stephen M. Ross School of Business, University of Michigan. He teaches entrepreneurship, crisis leadership, and business development while leading Ross Online's digital education initiatives. Education: Ed.D. in Education (2009), University of Pennsylvania MS in Learning Leadership (2008), University of Pennsylvania BA in Economics & Psychology (1986), University of Michigan His research focuses on leadership during organizational crises, leveraging insights from his 13-year naval career as an F/A-18 pilot and TOPGUN instructor, and his subsequent roles at JetBlue Airways (founding JetBlue University) and CorpU. He co-authored a 2024 book on crisis leadership, blending military strategy with business practices. Barger has pioneered corporate training systems in high-stakes environments, emphasizing simulation and collective problem-solving. His career spans aviation, airline operations, and education technology, with notable contributions to emergency response frameworks for organizations during global crises like 9/11 and the 2003 Northeast Blackout.

Eileen ScanlonView profile

Academic

• Educational Technology
• Science Communication
• Public Engagement in Science
• +4 more

Eileen Scanlon is the Regius Professor of Open Education at the Open University, a title awarded for her groundbreaking contributions to educational technology and science communication. She holds a PhD in cognitive models of physics problem solving and has been affiliated with the University since 1975, working extensively in the Institute of Educational Technology (IET). As Associate Director of Research and Innovation in the IET, she leads strategic research initiatives in technology-enhanced learning (TEL), including directing the openTEL research theme. Her work focuses on bridging formal and informal learning contexts, advancing citizen science, and leveraging digital tools for inclusive education. She has pioneered platforms like nQuire for community-driven inquiry and contributed to influential reports like the Innovating Pedagogy series. Scanlon also holds visiting roles at the University of Edinburgh and previously served at Bletchley Park and the University of California, Berkeley. Her research interests span educational technology, science communication, and open educational resources (OERs), with an emphasis on democratizing access to science. Key achievements include developing frameworks for MOOCs, advancing virtual microscopy in distance learning, and promoting participatory citizen science initiatives. Education: PhD in physics education (1990), Open University Affiliations: Institute of Educational Technology (IET), Moray House School of Education (Edinburgh) Grants: Leadership in openTEL, EC-funded MAZI project, and MASELTOV incidental learning initiatives Labs: Computers and Learning Research Group (CALRG), Centre for Research in Education and Educational Technology (CREET)

Scott SnyderView profile

Professor

• Chemical Biology
• Organic Chemistry
• Natural Product Synthesis
• +3 more

Scott A. Snyder is a Professor of Chemistry at the University of Chicago, affiliated with the Physical Sciences Division. His research focuses on the synthesis of complex natural products, particularly in the areas of chemical biology and organic chemistry, with an emphasis on developing novel reagents and strategies for efficient synthesis. Education: Valedictorian at Williams College (undergraduate), PhD at The Scripps Research Institute (2006), postdoctoral fellowship at Harvard University with E. J. Corey. Career path includes Columbia University (2006–2013), Scripps Florida (2013–2015), and the University of Chicago since 2015 as a Full Professor. Research Interests: Synthesis of terpenes, polyphenols, and alkaloids; development of halogenating reagents (e.g., Et₂SBr•SbCl₅Br); chemoselective methodologies for polycyclic structures. His work bridges organic synthesis and medicinal chemistry, with applications in drug discovery and chemical biology. Awards: Arthur C. Cope Scholar Award (2011), Quantrell Award (2017), Cottrell Scholar Award (2009). Books: Co-author of Organic Chemistry (11th/12th ed.), Classics in Total Synthesis II , and Teach Better, Save Time, and Have More Fun . Grants: NSF CAREER Award, NIH funding, and industry collaborations (e.g., Bristol-Myers Squibb). Lab and Teams: Trained over 70 scientists. Current students include Alex Crolais, Bryan Reynolds, and Sohee Kim. Former students hold positions at academic institutions and pharmaceutical companies worldwide.

Daniel TubbenhauerView profile

Research Professor

• Categorical Representation Theory
• 2-Representation Theory
• Modular Representation Theory
• +6 more

Dr. Daniel Tubbenhauer is an ARC Future Fellow at the University of Sydney's School of Mathematics and Statistics, specializing in categorical representation theory, 2-representation theory, and their applications to topology, cryptography, and machine learning. His research bridges algebra, category theory, and low-dimensional topology, with a focus on modular representation theory and diagrammatic algebra. Education: PhD in Mathematics (2013), supported by extensive postdoctoral research globally. Research Interests: He explores categorical structures in representation theory, including categorification of quantum groups, link homologies, and applications in cryptography. His work emphasizes diagrammatic methods and computational approaches to algebraic problems. Publications: Over 30 peer-reviewed articles, including foundational work on web categories, Soergel bimodules, and applications of representation theory to machine learning. Recent projects analyze growth rates in tensor powers and fractal behavior in algebraic structures. Awards: Australian Research Council Future Fellowship (2023), supporting his research on categorical representation theory. Teaching & Supervision: Taught courses on quantum topology, category theory, and representation theory. Current student: Daniel Collison (PhD). Advises on projects linking representation theory to AI and cryptography. Labs/Teams: Collaborates with global networks in algebraic topology and categorification, including projects at the Sydney Mathematical Research Institute. Maintains an active YouTube channel ( VisualMath ) for outreach.

Shan YuView profile

Assistant Professor

• Statistical Methodology
• Machine Learning
• Neuroimaging Analysis
• +7 more

Shan Yu is an Assistant Professor in the Department of Statistics at the University of Virginia. His research focuses on developing statistical and machine learning methods for large-scale, complex data, with applications in neuroimaging, genomics, spatial epidemiology, and health disparities. He employs advanced techniques including non/semi-parametric regression, functional data analysis, and distributed learning while emphasizing data privacy. Yu received his Ph.D. in Statistics from Iowa State University (2020), advised by Professors Lily Wang and Dan Nettleton, following a B.S. from the University of Science and Technology of China. His work bridges statistical methodology and real-world problems, addressing challenges in environmental science (e.g., nitrogen dioxide inequalities), public health (e.g., pandemic forecasting), and computational biology (e.g., genotype-environment interactions). He collaborates on tools like the GgAM R package for generalized geoadditive models and contributes to open-source projects such as fFLM for functional linear regression. Key research trends include spatially varying coefficient models, fusion learning for heterogeneous data, and integration of satellite data with environmental health studies. His publications span journals in statistics, epidemiology, and environmental science, reflecting interdisciplinary impact.

• Computer Vision
• Artwork Analysis
• Cross-depiction Recognition
• +3 more

Hongping Cai is a Lecturer in the Department of Computer Science at the University of Bath, contributing to the Visual Computing research group. Their work focuses on advancing computer vision techniques for analyzing artistic depictions and cross-domain object recognition. Research interests include computer vision applications in artwork analysis, cross-depiction problem modeling, object recognition across media, and spatial relation modeling. Recent work emphasizes leveraging CNNs for detecting people in artwork, benchmarking cross-depiction systems, and developing graph-based models for visual object analysis. Publications highlight contributions to cross-media recognition challenges, synthesis techniques, and domain adaptation methods. No specific awards or grants are listed, though their research has garnered significant citations and downloads. Advising activities are not documented in the provided materials. Active in the Visual Computing group at the University of Bath, Dr. Cai's work bridges traditional computer vision with artistic depiction analysis, addressing challenges in multi-modal data fusion and cross-domain visual understanding.

• Artificial Intelligence
• Electronic Commerce
• Intelligent Agents and Multi-Agent Systems
• +6 more

Thomas Tran is a Full Professor at the School of Electrical Engineering and Computer Science (EECS) at the University of Ottawa. He holds a Ph.D. in Computer Science from the University of Waterloo (2004) and a B.Sc. (Double Major in Mathematics and Computer Science) from Brandon University (1999). His research focuses on Artificial Intelligence, Electronic Commerce, Multi-Agent Systems, Trust and Reputation Modeling, and Recommender Systems. He has published over 80 refereed papers and supervised 27 graduate students (4 PhDs and 23 Masters). Education: Ph.D. in Computer Science, University of Waterloo (2004) B.Sc. (Double Major in Mathematics and Computer Science), Brandon University (1999) Research Interests: AI Applications in E-Commerce and Mobile Business Trust Establishment Models in Multi-Agent Systems Recommender Systems and Deep Learning Clinical Data Analysis for Hidradenitis Suppurativa Awards: Governor General's Gold Medal (2004) NSERC Postgraduate Scholarships (PGS A/B) AAAI Doctoral Consortium Participant (2002) Advising and Grants: Supervised 27 graduate students Recipient of multiple research grants (details unspecified) Labs/Teams: Active in AI and E-Commerce research groups within EECS.

• Sociolinguistics
• Multilingual Education
• Language Policy
• +5 more

Kathleen Heugh is an Adjunct Professor at UniSA Education Futures, University of South Australia. She serves as a Research Degree Supervisor and is available for media comment. Her scholarly work focuses on sociolinguistics, multilingual education, language policy, and decolonial approaches to language and education. She has extensive experience researching linguistic human rights, translanguaging, and transknowledging across diverse international contexts. Professor Heugh's research centers on multilingual education , particularly mother tongue-based approaches in post-colonial societies. She examines language policy implementation across Africa, Southeast Asia, and Australia, with special attention to how linguistic diversity intersects with educational equity. Her groundbreaking work on decolonial approaches challenges dominant northern paradigms in sociolinguistics. She investigates the complex relationship between linguistic human rights and epistemic justice, particularly in contexts of English Medium Instruction (EMI) where she analyzes issues of cognitive capture and linguistic erasure. Her publications demonstrate a consistent commitment to southern perspectives in language education research. She has pioneered concepts like transknowledging (reciprocal knowledge exchange across languages) and examines how multilingualism is positioned as either a resource or problem in educational settings. Her recent work explores the potential of translation technology to support multilingual pedagogies in higher education while challenging inequitable hierarchies that privilege monolingual English speakers. Professor Heugh has led significant research projects including 'Using Human Language Technology to enhance academic integrity, inclusivity, knowledge exchange, student diversity and retention' at the University of South Australia. Her collaborative work extends across international contexts, with notable research in Northern Uganda on local languages and primary education in post-conflict settings. She has edited influential volumes including 'A Sociolinguistics of the South' (2021) and 'Multilingual Education Works: from the Periphery to the Centre' (2010), contributing substantially to decolonial scholarship in applied linguistics.

Tommy ChanView profile

Professor

• Structural Health Monitoring
• Bridge Engineering
• Moving Force Identification
• +2 more

Professor Tommy Chan is Chair in Civil Engineering at Queensland University of Technology's School of Civil and Environmental Engineering. With over $10M in research funding, his work focuses on structural health monitoring of bridges and infrastructure systems. His research group develops cutting-edge methods for assessing structural integrity using vibration analysis, optical sensors, and machine learning. Professor Chan leads major projects including the ARC-funded 'Next Generation Bridge Monitoring' initiative developing real-time monitoring systems for prestressed concrete bridges. His team's innovations include GNSS-based settlement monitoring and synergic identification methods for prestress force evaluation. Current research explores vehicle-bridge interactions, damage detection algorithms, and novel materials for impact protection. He has received numerous honors including the Vice Chancellors' Leadership Award and Top Supervisor Award. Professor Chan founded the Australian Network of Structural Health Monitoring and serves on editorial boards for multiple journals in structural engineering.

Dietmar MaringerView profile

Professor

• Computational Economics
• Computational Finance
• Artificial Intelligence in Finance
• +8 more

Dietmar Maringer is Professor of Computational Economics and Finance at the University of Basel's Faculty of Business and Economics (WWZ), where he leads research at the intersection of finance, computational methods, and artificial intelligence. His work focuses on risk management, portfolio optimization, algorithmic trading, and financial simulations. His research interests span computational finance, artificial intelligence in finance, data analysis, risk management, portfolio optimization, algorithmic and high-frequency trading, financial networks, complex adaptive systems, and market simulations. He applies advanced computational and heuristic optimization techniques to solve real-world financial problems, contributing significantly to quantitative finance and financial engineering. His recent publications demonstrate a consistent focus on applying evolutionary algorithms, reinforcement learning, and numerical optimization to portfolio management, market impact modeling, and financial forecasting. The research integrates econometrics, machine learning, and financial theory, emphasizing practical implementation and robust risk-aware decision-making. Several best-paper awards Maringer has served as Chair of the Portfolio Optimization Section of the IEEE Computational Economics and Finance Technical Committee from 2008 to 2018 and is frequently involved in organizing and program committees of international conferences. He has advised or collaborated with numerous researchers, though specific student names are not listed. His research has been supported through academic affiliations and likely institutional or conference-based grants, though explicit funding sources are not detailed. He is affiliated with several research groups, including IEEE Computational Economics and Finance TC, COMISEF, ERCIM, Centre for Innovative Finance, and the European Financial Management Association, reflecting a broad collaborative network in computational finance and economics.

Ameya JagtapView profile

Assistant Professor

• Scientific Machine Learning
• Deep Learning
• Computational Physics
• +8 more

Ameya Jagtap is an Assistant Professor (Tenure-Track) in the Department of Aerospace Engineering at Worcester Polytechnic Institute (WPI), USA. Prior to this, he served as an Assistant Professor of Applied Mathematics (Research) at Brown University from 2021 to 2024. He holds a Ph.D. and M.E. in Aerospace Engineering from the Indian Institute of Science (IISc), and completed postdoctoral research at TIFR-CAM (India) and Brown University's Division of Applied Mathematics. His research bridges mechanical/aerospace engineering, applied mathematics, and computation, focusing on scientific machine learning algorithms that integrate data and physics. Key areas include physics-driven deep learning, uncertainty quantification, multi-scale simulations, and novel neural network architectures like quantum and graph networks. He serves on editorial boards for Neural Networks , Neurocomputing , and others. His work emphasizes interpretable neural operators for PDE solutions, domain decomposition methods, and adaptive activation functions to enhance PINN convergence. Notable contributions include XPINNs (extended physics-informed neural networks) and causal sweeping frameworks for PDEs. His research has been widely cited, particularly for PINN applications in supersonic flows and high-dimensional PDEs. Jagtap has delivered invited talks at institutions like Los Alamos National Laboratory, Tsinghua University, and the Alan Turing Institute. He is also recognized as a Top 2% World Scientist by Stanford University.

• Structural Health Monitoring
• Machine Learning in Civil Engineering
• Earthquake Engineering
• +9 more

Marco Martino Rosso is a Research Fellow at the Department of Structural, Building and Geotechnical Engineering (DISEG) at the Polytechnic University of Turin, where he also serves as an external lecturer and teaching assistant in both DISEG and the Department of Mathematical Sciences (DISMA). He is affiliated with the Doctoral School (SCDOTT) and completed his PhD under the supervision of Professor Giuseppe Carlo Marano. His academic work bridges civil engineering with advanced computational methods, focusing on structural health monitoring, optimization, and machine learning applications. His research interests center on Structural Health Monitoring , Machine Learning in Civil Engineering , Earthquake Engineering , Structural Optimization , Operational Modal Analysis , and AI-driven diagnostics for infrastructure. He applies deep learning, neural networks, and hybrid modeling techniques to problems such as damage detection, post-earthquake assessment, tunnel and bridge monitoring, and dynamic analysis of timber and concrete structures. His recent publications, spanning from 2023 to 2025, demonstrate a strong trend toward integrating artificial intelligence with structural engineering, particularly in automating modal analysis, optimizing structural forms, and enhancing seismic resilience. These works appear in journals like Mechanical Systems and Signal Processing , Computers & Structures , and Bulletin of Earthquake Engineering , as well as in proceedings of international conferences such as IOMAC and EWSHM. Marco Rosso has not received any explicitly mentioned scientific awards in the provided text. However, his extensive publication record and active role in research projects indicate strong recognition in his field. He has contributed to teaching as a course collaborator in subjects including Dynamic Identification of Structures , Statistics , Construction Techniques , and Safety Assessment and Retrofitting of Structures . He has also been involved in the ARTISTE 2025 Summer School, indicating engagement in advanced training programs. While no formal lab or team name is specified, his frequent collaborations with researchers such as Angelo Aloisio, Giuseppe Carlo Marano, and Jonathan Melchiorre suggest he is part of a vibrant research group focused on intelligent structural systems and data-driven engineering at Politecnico di Torino.

Christopher HlasView profile

Professor

• Mathematics Education
• Teaching through Problem Solving
• Student Motivation in Mathematics
• +7 more

Dr. Christopher S. Hlas is a Professor of Mathematics Education at the University of Wisconsin-Eau Claire within the College of Arts and Sciences Department of Mathematics. With a doctorate from the University of Iowa, he specializes in mathematics pedagogy, technology integration, and cross-disciplinary connections between math and foreign languages. Ph.D. in Mathematics Education (University of Iowa, 2005) B.S. in Mathematics and Computer Science (University of Iowa, 2001) His research focuses on teaching through problem solving , student motivation , and technology-enhanced mathematics instruction . He has developed innovative formative assessment probes and conducted extensive studies on homework design, flow theory, and creativity in K-12 education through grants like the ESEA Title II Mathematics and Science Partnerships. His work spans curriculum development, professional development for teachers, and mathematical modeling. Recent publications highlight his exploration of creativity assessment in language education and the application of game mechanics to classroom engagement. He serves as an AP Calculus Reader and Table Leader, while maintaining active roles in the Wisconsin Mathematics Council and National Council of Teachers of Mathematics. Bilingual education initiatives GeoGebra integration in geometry instruction Formative assessment frameworks Game-based learning strategies Scientific Awards CARE Award (2015) ACTFL Research Priority Grant (2010) Multiple teaching scholarships UWEC student-nominated award (2007) Outstanding teaching assistant recognition (2004) Mentoring over a dozen student research projects and securing more than $4 million in federal and state grant funding, Dr. Hlas has supervised numerous collaborative research initiatives. He maintains open-source educational tools like interactive Pascal's Triangle and rational functions resources at math.hlasnet.com while serving on multiple university committees and grant review panels.