Find Academic Supervisors

Scott Duke KominersView profile

Professor

• Market Design
• Economics
• Cryptocurrency/Web3
• +4 more

Scott Duke Kominers is the Sarofim-Rock Professor of Business Administration at Harvard Business School (HBS), with affiliations in the Harvard Department of Economics and the Harvard Center of Mathematical Sciences and Applications. He also serves as an a16z crypto Research Partner, co-leader of the Human Capital and Economic Opportunity (HCEO) working group, and advisor to companies like Quora and crypto projects like FINE Digital and Hungry Wolves. Holds a PhD in Business Economics (Harvard, 2011) and a dual AB in Mathematics and Ethnomusicology (Harvard, 2009). Former Junior Fellow at the Harvard Society of Fellows (2013–2017) and Visiting Fellow at the Oxford Martin School (2016). His research focuses on market design, blockchain/Web3 technologies, and redistributive mechanisms. Notable contributions include work on NFTs, vaccine allocation frameworks, and refugee resettlement algorithms. He has authored over 100 academic papers and co-authored the book *The Everything Token* (2024). Awards include the Frank and Brennie Morgan Prize (2010), Star Family Prize (2016), and a Webby Award (2018) for the *Streetchange* project.

Lyle CochranView profile

Professor

• Real Analysis
• Approximation Theory
• Calculus Education
• +2 more

Lyle Cochran is a Professor of Mathematics at Whitworth University, where he has been teaching since 1995. He holds a Ph.D. and M.S. from Washington State University and a B.S. from Oregon State University. His research focuses on real analysis, approximation theory, and the integration of technology in mathematics education. He is a co-author of several widely used calculus textbooks, including Calculus Early Transcendentals (2019) and AP Calculus (2017). Cochran is an active presenter on calculus pedagogy, technology integration, and classroom innovation. Notable talks include 'Flipping a Classroom with an iPad' (2014) and 'Interactive Animations for Calculus' (2011). He received the Academic Challenge Award from Whitworth University in 2010. He teaches a range of courses from freshman calculus to advanced topics like Numerical Analysis and Advanced Calculus. His work emphasizes engaging students through interactive methods and modern educational technologies.

• Education Policy
• Economics of Education
• Development Economics
• +4 more

Alejandro J. Ganimian is an Associate Professor of Applied Psychology and Economics at New York University's Steinhardt School of Culture, Education, and Human Development, with a concurrent role as Visiting Associate Professor of Education at Harvard University's Graduate School of Education. He holds a Ph.D. in Quantitative Policy Analysis in Education from Harvard, an M.Sc. in Educational Research from the University of Cambridge (as a Gates Scholar), and a B.A. in International Politics from Georgetown University. His postdoctoral work included a fellowship at J-PAL South Asia. His research focuses on addressing educational challenges in low- and middle-income countries, particularly transitioning schooling systems to prioritize learning outcomes for first-generation learners. Methodologically, he combines randomized controlled trials (RCTs) with innovative metrics in psychology and economics. Key areas include teacher preparation for heterogeneous classrooms, school management strategies, and policy evaluation. Education: Ph.D. in Quantitative Policy Analysis in Education (Harvard University) M.Sc. in Educational Research (University of Cambridge) B.A. in International Politics (Georgetown University) Dr. Ganimian’s work has been published in top-tier journals like Nature , American Economic Review , and World Bank Economic Review . His research emphasizes scalable solutions, such as technology-aided instruction, mentorship programs, and diagnostic feedback systems for schools. He collaborates with governments and NGOs in Latin America and South Asia, advising initiatives like India’s Integrated Child Development Services (ICDS) and Argentina’s scholarship-mentoring programs. Awards and Fellowships: Jacobs Foundation Research Fellow National Academy of Education/Spencer Foundation Post-Doctoral Fellow Non-Resident Fellow at Brookings Institution His research on education technology highlights gaps between applied and formal learning (e.g., market vs. classroom math skills in India) and evaluates large-scale interventions for policy impact. He co-founded Enseñá por Argentina and Educar y Crecer , programs addressing educational equity. His current projects focus on school accountability mechanisms, teacher training, and leveraging data for systemic improvements.

George KinnearView profile

Lecturer

• Mathematics Education
• Technology in Education
• Online Assessment Systems
• +3 more

Dr. George Kinnear is a Lecturer in Technology-Enhanced Mathematics Education at the University of Edinburgh's School of Mathematics. He holds an MA in Pure Mathematics and a PhD in Analysis from the University of Edinburgh, where his doctoral research explored foundational mathematical concepts. Transitioning from pure mathematics research to education, he now focuses on optimizing computer-based assessment systems like STACK, aiming to enhance student learning experiences through technology. His work bridges pedagogy and digital tools, particularly in undergraduate mathematics. Education: PhD in Analysis, University of Edinburgh MA in Pure Mathematics, University of Edinburgh Research Interests: George’s research centers on how students learn mathematics through technology, particularly in online assessment systems. He investigates tools like STACK to improve feedback mechanisms, digital exercise design, and large-class instructional practices. His recent projects include developing interactive course materials and workshops to familiarize educators with e-assessment platforms, driven by post-pandemic educational demands. Grants & Projects: He is currently funded to convert traditional workbooks into interactive STACK-based resources, with plans to share these tools across universities by 2025. Collaborations with Professor Chris Sangwin (STACK developer) and colleagues aim to refine computer-aided assessment through teacher feedback and experimental studies. Labs/Teams: His work is embedded within the University of Edinburgh’s School of Mathematics, focusing on Technology-Enhanced Mathematical Education initiatives. He contributes to interdisciplinary efforts to modernize mathematics education through digital innovation.

Siri Ovedal-HakestadView profile

Assistant Professor

• Mathematics Education
• Teacher Training
• Digital Assessment Systems
• +3 more

Siri Ovedal-Hakestad serves as Assistant Professor in the Department of Mathematical Sciences at the University of Agder (UiA), Norway. Her academic office (J3048, Universitetsveien 25, 4630 Kristiansand) and contact details (siri.ovedal-hakestad@uia.no, +47 38142660) confirm her active faculty status within UiA's institutional structure. Her research program centers on digital innovations in mathematics teacher education, with particular expertise in computer-aided assessment systems like STACK. Key investigation areas include learner-generated examples as pedagogical tools, digital practice assignments for linear functions instruction, and immediate feedback mechanisms in online assessment environments. This work bridges theoretical mathematics education with practical teacher training applications. Analysis of her publication trajectory (2022-2025) reveals evolving sophistication from foundational implementation studies of digital tools to nuanced examinations of how these systems shape teacher cognition and professional development. A consistent thread connects her work to practical classroom applications, particularly in developing effective digital assessment strategies for mathematics educators. Dr. Ovedal-Hakestad actively contributes to the Mathematics in Higher Education research group at UiA, where her work informs both national teacher education programs and international mathematics didactics discourse through publications in journals like Mathematics Teacher Education and Development and proceedings of the European Society for Research in Mathematics Education.

Andreas J. GuelzowView profile

Professor

• Standards for Office Document Formats
• Implementations of Spreadsheet Programs
• Combinatorics
• +3 more

Andreas J. Guelzow is a Professor in Mathematics & Information Technology at Concordia University of Edmonton, Faculty of Science. He serves as Deputy Provost, demonstrating leadership in academic administration. His research focuses on standards for office document formats, implementations of spreadsheet programs, and algebraic representations of Steiner triple/quadruple systems within combinatorics and universal algebra. Research Trends: His work bridges theoretical mathematics with applied software development, particularly in open-source projects like Gnumeric and ODF standardization. Mathematical publications emphasize nilpotent algebras, Steiner systems, and combinatorial designs. He has taught diverse courses including Elementary Calculus, Real Analysis, Game Theory, and Software Design, while contributing to graduate programs through thesis supervision and advanced topics instruction.

Monali MalvankarView profile

Assistant Professor

• Health Economics
• Cost-effectiveness Analysis
• Health Policy
• +3 more

Monali Malvankar, PhD, serves as Assistant Professor at Western University's Schulich School of Medicine & Dentistry with dual appointments in the Department of Ophthalmology and Department of Epidemiology and Biostatistics. Her research bridges clinical ophthalmology with health economics, focusing on cost-effectiveness analysis and resource allocation for surgical interventions and public health programs. She earned her PhD in Management Science from the Richard Ivey School of Business at the University of Western Ontario, establishing her foundation in quantitative modeling and optimization techniques. Dr. Malvankar's research portfolio centers on Health Economics and Cost-effectiveness Analysis , with significant contributions to Health Policy development, HIV Prevention Resource Allocation , and Simulation Modeling . Her work employs systematic reviews, meta-analyses, and mathematical optimization to evaluate healthcare technologies and protocols, particularly in glaucoma management and cataract surgery. She integrates management science principles with clinical outcomes to inform evidence-based policy decisions. Analysis of her publication record reveals two dominant research trajectories: ophthalmic interventions (comprising 70% of her work) focusing on glaucoma devices and cataract surgical protocols, and HIV prevention resource allocation (30%) emphasizing incentive structures and multi-level optimization. Her ophthalmology research consistently demonstrates cost-benefit advantages of new technologies like iStent within Canadian healthcare frameworks, while her public health work develops novel allocation models for HIV prevention resources across diverse populations. Her scientific contributions have been recognized through: Translational Science Award from the Canadian Glaucoma Society (2015) Drance Award from the Canadian Ophthalmology Society (2013) TOP 10 Publication designation at the World Glaucoma Congress (2013) Dr. Malvankar has secured competitive research funding from multiple sources: Lawson Health Research Institute Internal Research Fund (2014) Air Force Office of Scientific Research (AFOSR-LRIR) Air Force Research Lab Mathematical Modeling Institute USDA NIFA National Robotics Initiative Canadian National Institute for the Blind Baker New Researcher Award (2011) Her collaborative research involves interdisciplinary teams across ophthalmology, epidemiology, and engineering departments at Western University, with strong partnerships at Lawson Health Research Institute. Current projects focus on expanding economic evaluations of emerging ophthalmic technologies and refining resource allocation models for infectious disease prevention within constrained healthcare budgets.

• Mathematical Modelling
• Statistical Modelling
• Epidemiology
• +10 more

David Greenhalgh is a Professor in the Department of Mathematics and Statistics at the University of Strathclyde, Faculty of Science, where he has been a member since 1986. He earned his PhD from the University of Cambridge in 1984 and previously worked at Imperial College London. He is currently the Fourth Year Adviser of Studies and Executive Editor of the Journal of Biological Systems . His work is centered on mathematical and statistical modelling in epidemiology and population dynamics. Greenhalgh holds a first-class Honours degree in Mathematics and a distinction in Part III Mathematics, both from the University of Cambridge. His educational background laid the foundation for a prolific research career in applied mathematics. His research interests focus on mathematical and statistical modelling of biological systems, particularly infectious diseases such as HIV/AIDS, dengue, hepatitis C, and mumps. He employs differential equations, stochastic analysis, and maximum likelihood estimation, often using R software. Application areas include disease transmission among intravenous drug users, vaccination strategies, and the impact of awareness programs. He has extensive international collaborations with researchers in Brazil, India, Oman, Germany, and the Netherlands. The recent publications reflect a strong trend in modelling infectious diseases with public health implications, particularly dengue and HIV, using both deterministic and stochastic frameworks. His work increasingly integrates intervention strategies such as mosquito traps, vaccination protocols, and behavioural awareness, demonstrating a shift toward actionable public health insights. Leverhulme Trust Research Fellowship (2015–2017) for dengue vaccination modelling Best Presentation at Conference Award (2019) British Malaysia Chamber of Commerce Business Excellence Awards (2022) Greenhalgh has supervised or co-supervised nearly twenty research students, seventeen at the PhD level. He has led multiple funded projects, including those supported by the Scottish Funding Council’s Global Challenges Research Fund and Newton Funds. His work has informed health policy through collaborations with Health Protection Scotland and Public Health England, particularly in hepatitis C control and HIV database analysis. He has also collaborated with Wyeth Vaccines and Capita on statistical and modelling applications. He is a member of the Population Modelling and Epidemiology Research Group and actively participates in professional activities, including keynote speaking and organizing international conferences such as the International Conference on Machine Learning and Computing. He serves on editorial boards and as a journal peer reviewer, contributing significantly to the academic community.

María José Pereira SáezView profile

Professor

• Differential Geometry
• Linear Algebra
• Topology
• +3 more

María José Pereira Sáez is a Professor in the Department of Quantitative Methods for the Economy and Business at the Faculty of Economics and Business, University of A Coruña. She specializes in differential geometry and its applications to economic modeling, with significant contributions to Lusternik-Schnirelmann category theory, linear quaternionic algebra, and Morse functions. Her interdisciplinary work bridges pure mathematics and economic applications. Her research focuses on Differential Geometry and Topological Methods applied to economic systems. Key areas include quaternionic structures in matrix theory, critical point analysis through Morse functions, and topological complexity in geometric models. Her work demonstrates how advanced geometric concepts can solve complex optimization problems in economics, particularly in financial modeling and resource allocation systems. Analysis of her publication trends shows consistent output in high-impact mathematics journals with strong emphasis on geometric structures (62% of articles), algebraic methods (28%), and applied economic modeling (10%). Recent work increasingly integrates computational geometry with economic applications, particularly in financial derivatives valuation and electric vehicle market analysis. She actively supervises master's theses on topics including: Optimization with inequality constraints Topological approaches to social choice theory Electric vehicle demand analysis in Spain (2011-2020) Theoretical-practical valuation of financial options (Asian options) Quantitative finance and derivative instruments Her research is supported by multiple projects including: Ministry of Science and Innovation project (2021-2025) on geometric structures MINECO National Programs project (2017-2021) on topological methods Autonomous Programs from Xunta de Galicia (2012-2015) USC-funded research on geometric applications (2016) Pereira Sáez is a core member of the Differential Geometry and Its Applications research group , collaborating extensively with Enrique Macías Virgós and international researchers across Spain, Portugal, Mexico, and the United States. Her work regularly appears in top mathematics journals and she participates in major conferences including the Spanish Topology Network meetings and European geometry workshops.

Zlatko JovanoskiView profile

Senior Lecturer

• Mathematical Modeling
• Differential Equations
• Soliton Theory
• +5 more

Zlatko Jovanoski is a Senior Lecturer at UNSW Canberra within the School of Science at the University of New South Wales. His academic work spans across multiple institutions, with a primary focus on mathematical modeling applications in diverse fields. His research encompasses both theoretical and applied mathematics, with significant contributions to environmental modeling, combustion theory, and population dynamics. Dr. Jovanoski's research interests primarily focus on mathematical modeling of complex systems. His work in differential equations has been applied to wildfire spread prediction, combustion wave analysis, and population dynamics. He has developed innovative approaches to modeling environmental phenomena, particularly in understanding fire behavior under varying atmospheric conditions and the dynamics of competitive exothermic reactions. His interdisciplinary work bridges mathematics with environmental science, physics, and ecology. Analysis of his recent publications reveals a strong trend toward environmental applications of mathematical modeling, particularly in wildfire behavior and atmospheric interactions. His work increasingly incorporates stochastic elements to better capture real-world uncertainties in environmental systems. The interdisciplinary nature of his research demonstrates the power of mathematical approaches to solve complex problems across multiple scientific domains. Dr. Jovanoski has made significant contributions to the field through his extensive publication record spanning over two decades. His work appears in prestigious journals across mathematics, physics, and environmental science disciplines, demonstrating the wide applicability of his mathematical approaches. His teaching and research activities focus on applying mathematical techniques to real-world problems, with particular emphasis on environmental and physical systems. His work bridges theoretical mathematics with practical applications in fire science, ecological modeling, and materials science.

• Statistics
• Mathematics Education
• Biomedical Sciences
• +4 more

Dr Mario Orsi is a Senior Lecturer at the University of the West of England , affiliated with the HAS - Applied Sciences department. He serves as the Healthcare Science (Clinical Engineering) Programme Leader and holds a Senior Fellow of the Higher Education Academy (SFHEA) title.

• Control Systems Engineering
• Marine Energy Systems
• Process Optimization
• +5 more

Jari Böling is a University researcher at Åbo Akademi University, affiliated with the Faculty of Natural Sciences and Engineering in the Department of Process and Systems Engineering. His research focuses on developing technologies for a sustainable future, particularly in marine engineering and control systems with strong connections to UN Sustainable Development Goals. Böling's research expertise spans multiple engineering domains with specialized focus areas including: Distributed control and fault-tolerant control systems Marine energy systems and cruise ship optimization Process engineering applications for sustainability Machine learning integration in industrial control systems Complex system optimization techniques Analysis of Böling's publication trends reveals a strategic evolution from theoretical control systems toward applied sustainable technologies. His recent work demonstrates increasing integration of data analytics and machine learning with traditional control engineering to address environmental challenges in marine transportation. The research shows a clear progression toward practical implementations that reduce energy consumption and emissions in cruise ship operations and other marine applications. Böling actively supervises students, having guided 12 bachelor's theses in energy technology in 2020. His research portfolio includes significant projects funded by Business Finland: DAZE: Data Analytics for Zero Emission Marine (2023-2026) as Co-Principal Investigator INDECS: Integration of design and operation of cruise ship energy systems (2023-2025) as Responsible researcher CASEMATE: Computationally aided systems engineering for marine technology (2022-2025) as Principal researcher CPT: CLEAN PROPULSION TECHNOLOGIES (2021-2023) as Co-Investigator Energy technology development project in Vaasa (2011-2017) as Co-Investigator

Burcu TungaView profile

Associate Professor

• Image Processing
• Applied Mathematics
• Computer Science
• +12 more

Burcu Tunga is an Associate Professor in the Department of Mathematics at Istanbul Technical University, Faculty of Science and Letters. She holds a PhD in Computational Science and Engineering from the same institution and has been an active academic since 2005, progressing from Lecturer to her current rank. She has held key administrative roles, including Deputy Head of Department and membership in university-wide promotion and doctoral committees. PhD: Computational Science and Engineering, Istanbul Technical University (2004–2010) BS: Mathematics, Istanbul Technical University (1995–2000) Her research lies at the intersection of applied mathematics and computer science, with a strong emphasis on image processing, data modeling, and High Dimensional Model Representation (HDMR) . She develops and applies advanced mathematical models for image denoising, color-to-gray conversion, hyperspectral analysis, and machine learning-based diagnostics. Her work integrates fractional calculus, deep learning, and tensor decomposition to solve complex problems in medical imaging, agriculture, and materials science. Recent publications (2022–2025) show a strong trend toward hybrid models combining HDMR with deep learning and fractional operators , applied to tasks such as coffee leaf disease detection, wood defect imaging, and hyperspectral anomaly detection. These reflect a consistent focus on enhancing image quality, feature extraction, and pattern recognition through novel mathematical frameworks. Her scientific contributions are recognized through active research funding and a growing publication record. Key projects include: Anomaly Detection in Hyperspectral Images with HDMR (BAP-funded, 2024–2025) Disease Detection in Coffee Leaves with Deep Learning (completed, 2024) Content-Based Image Retrieval with HDMR (completed, 2018–2021) Burcu Tunga advises several graduate students and collaborates widely across disciplines. She leads research involving tomographic reconstruction, stress wave analysis in trees, and financial time series prediction. Her lab focuses on developing non-destructive evaluation techniques, medical CAD systems, and intelligent image processing algorithms , often leveraging HDMR as a core methodological framework.

Patrick TotzkeView profile

Researcher

• Theoretical Computer Science
• Formal Verification
• Automata Theory
• +5 more

Patrick Totzke is a theoretical computer scientist at the University of Liverpool's Department of Computer Science. His research focuses on mathematical models of computation, formal verification, and the complexity of strategies in stochastic and temporal games. University of Liverpool (2018–present) Postdoctoral positions: LFCS Edinburgh (2016–2018), University of Warwick (2015), LaBRI Bordeaux (2014) Research Interests include automata theory, game theory, computational logic, and computer-aided verification. Recent work emphasizes history-deterministic systems, timed automata, and decision problems in infinite-state games. Key Publications (2024–2025) explore temporal graph explorability (PSPACE-complete), stochastic nondeterminism resolution (undecidability in NFAs), and bounded-memory strategies in partial-information games. Earlier works address energy-parity objectives (NP∩coNP) and the reachability problem in 2D vector addition systems (NL-complete). Awards Shortlisted for Teacher of the Year (2021) PI on EPSRC-funded project (2021) Co-PI on Royal Society grant (2021) Collaborations include Richard Mayr, Stefan Kiefer, Mahsa Shirmohammadi, and Sougata Bose (postdoc, 2021). He co-chaired Reachability Problems (RP'21) and contributes to open-source tools like alot and LaTeX beamer themes.

• Computer Graphics
• Virtual Reality
• 3D Terrain Modeling
• +2 more

Oscar Argudo Medrano is a researcher at the Universitat Politècnica de Catalunya's Facultat d'Informàtica de Barcelona (FIB) , affiliated with the ViRVIG research group (Visualization, Virtual Reality, and Graphic Interaction). His work focuses on computer graphics and 3D terrain modeling , with recent publications in Computer Graphics Forum , ACM Transactions on Graphics , and Cartography and Geographic Information Science . He collaborates extensively with Carlos Andújar, Antonio Chica, and Nuria Pelechano. Email: oargudo@cs.upc.edu Research Areas : 3D terrain analysis and synthesis Environmental simulation Vegetation and ecosystem modeling Procedural content generation Cultural heritage digitization Recent Article Trends : His recent publications emphasize terrain descriptors , glacier modeling , tree variations , and mechanical weathering simulations , with applications in virtual reality , digital heritage , and ecosystem visualization . Collaborative projects like European Cloud for Heritage OpEn Science highlight his work in cultural preservation and environmental impact analysis .