Find Academic Supervisors

Anil AdaView profile

Teaching Professor

• Theoretical Computer Science
• Education
• Communication Complexity
• +5 more

Anil Ada is an Associate Teaching Professor at the Computer Science Department of Carnegie Mellon University . He was born in Istanbul and completed his B.Sc. (Hon.), M.Sc., and Ph.D. in Mathematics and Computer Science at McGill University , advised by Denis Thérien and Hamed Hatami. Research Focus : Theoretical computer science with an emphasis on communication complexity, circuit complexity, and the intersection of structure vs randomness in computation. Education : B.Sc. (Hon.) in Mathematics and Computer Science from McGill University M.Sc. in Computer Science from McGill University Ph.D. in Computer Science from McGill University Academic Contributions : His research has explored foundational questions in computational complexity, including pseudorandomness, Boolean function analysis, and additive combinatorics. He has published in venues such as Computational Complexity , ICALP , and International Journal of Foundations of Computer Science . Teaching Innovation : He developed Panda Notes , a web application combining document collaboration with AI-assisted educational tools. He teaches courses like 15-251: Great Ideas in Theoretical Computer Science and 15-155: The Computational Lens , with prior teaching roles at McGill University.

Jairo BochiView profile

Professor

• Dynamical Systems
• Ergodic Theory
• Geometry
• +5 more

Jairo Bochi is a Professor in the Department of Mathematics at Pennsylvania State University (Penn State), part of the Eberly College of Science. He is a member of the Anatole Katok Center for Dynamical Systems and Geometry. His research focuses on Dynamical Systems, including interactions with Geometry, Linear Algebra, and Control Theory. Bochi earned his PhD from the Instituto de Matemática Pura e Aplicada (IMPA) in Brazil (2001), with prior academic roles at institutions like PUC-Chile, PUC-Rio, and UFRGS. Education: PhD in Mathematics from IMPA (2001), M.S. and B.S. in Mathematics from UFRGS (1997 and 1996). His academic journey includes postdoctoral and faculty positions in Brazil, Chile, and now the U.S. Research Interests: Dynamical Systems, Ergodic Theory, Lyapunov exponents, Multiplicative Ergodic Theory, and applications to Linear Algebra and Control Theory. His work bridges pure mathematics with geometric and analytical techniques. Key Contributions: Pioneering studies on generic properties of Lyapunov exponents, dominated splittings, and flexibility of entropy in dynamical systems. He has organized major conferences, including the 11th Beyond Uniform Hyperbolicity conference (2025). Bochi is an Affiliate Member of the Brazilian Academy of Sciences (2007–2011) and serves on the editorial board of Discrete and Continuous Dynamical Systems . Scientific Service: Organizer of international workshops, advisor to graduate students, and recipient of research grants from institutions like Fondecyt and Penn State's Eberly College. His teaching spans advanced courses in Dynamical Systems, Ergodic Theory, and related fields. Labs/Teams: Active in the Anatole Katok Center, contributing to collaborative research on dynamical systems and geometry.

Paul EllisonView profile

Lecturer

• Musicology
• Organ Performance
• Choral Performance
• +3 more

Paul Ellison is a Lecturer in the Department of Musicology at San Francisco State University (SFSU), School of Music. He also serves as Director of Music at Church of the Advent in San Francisco and is a faculty member at San José State University. Ellison holds degrees from prestigious institutions including the Royal Academy of Music, London, Queens’ College Cambridge, and Cardiff University (PhD). His research focuses on Musicology, Organ and Choral Performance, and Gregorian Chant, with a particular emphasis on Beethoven’s works and tonal analysis. He contributes actively to journals like Grove Music Online , The Beethoven Journal , and Notes , and regularly lectures at the Three Choirs Festival in the UK. Ellison is also the President of the American Beethoven Society. Education: Royal Academy of Music, London: DipRAM, LRAM London University: BMus Queens’ College, Cambridge: PGCE San José State University: MA Cardiff University: PhD Research Interests: Ellison’s work bridges historical performance practices and theoretical analysis, with deep engagement in 19th-century music, particularly Beethoven’s harmonic language and emotional expression. His studies often explore affective tonality and its role in shaping musical meaning. He also investigates organ repertoire, choral performance techniques, and the intersection of music with cultural history. Publications: His scholarly contributions span Beethoven’s symphonic and vocal works, Chopin’s piano preludes, and César Franck’s organ compositions. His 2014 book The Key to Beethoven is a seminal text on tonality and meaning in the composer’s music. Recent work includes analyses of Beethoven’s late style and the cultural implications of musical performances in politically charged contexts. Professional Roles: President, American Beethoven Society Regular lecturer at the Three Choirs Festival (UK) Contributor to The Cambridge Encyclopedia of Historical Performance in Music Ellison’s teaching and performance activities reflect his dual focus on academic rigor and practical expertise, spanning organ performance, choral direction, and musicology.

• Economic Theory
• Finance
• Behavioral Economics
• +5 more

Dr. Emanuela Sciubba is a Reader in Economics at Birkbeck Business School, part of Birkbeck, University of London. Her research focuses on economic theory, finance, and behavioral economics, with a particular emphasis on social networks, trust dynamics, and experimental economics. She has supervised five doctoral researchers, including current supervisees Cornel Todirica and Marcel Lee, and has mentored alumni such as René Levesley and Angelo Diamantopoulos. Her teaching modules include Corporate Finance, Microeconomics, and Behavioral Economics and Finance. Dr. Sciubba’s work explores topics like trust and cooperation in social networks, decision-making under ambiguity, and the structural similarities in game-theoretic models. Her research has been published in journals such as the International Journal of Financial Studies, Journal of Economic Behavior & Organization, and Economic Theory. Her recent studies investigate anonymity in financial markets, relational aspects of trust, and public good provision in endogenous networks. She employs experimental methods to analyze how social structures influence economic behavior, contributing to our understanding of cooperation, risk-sharing, and network formation.

Bipul C. HawladerView profile

Professor

• Geotechnical Engineering
• Landslide Modeling
• Pipeline-Soil Interaction
• +3 more

Bipul C. Hawlader is Professor and Acting Associate Dean of Graduate Studies in Civil Engineering at Memorial University. As Research Chair in Seafloor Mechanics, he leads investigations into geohazards and offshore infrastructure. Research expertise includes: Large-deformation modeling of landslides and debris flows Soil-structure interaction for pipelines and foundations Centrifuge modeling of geotechnical systems Arctic pipeline engineering and frost heave Recent publications demonstrate advanced computational methods for slope stability analysis and infrastructure protection against geohazards, with particular focus on cold region challenges. He has supervised over 40 graduate students and secured funding from NSERC, Equinor, and Canada Foundation for Innovation. Research collaborations span UC Berkeley, Queen's University, and industry partners.

Nageswari ShanmugalingamView profile

Professor

• Geometric Analysis
• Metric Measure Spaces
• Potential Theory
• +4 more

Nageswari Shanmugalingam is a Professor and Distinguished Research Professor (STEMM) in the Department of Mathematical Sciences at the University of Cincinnati's College of Arts and Sciences. She specializes in geometric analysis, focusing on metric measure spaces, potential theory, and quasiconformal maps. Her research explores connections between analytic inequalities and geometric properties, with contributions to functions of bounded variation (BV) and Besov spaces. Education: PhD from the University of Michigan (1999), BSc from the University of Rochester (1994). Research interests include geometric implications of Poincaré inequalities, BV functions, and boundary theories in potential analysis. She has secured significant grants from NSF and Simons Foundation, totaling over $1.2M, supporting projects on potential theory, metric geometry, and hyperbolicity. Her publications span over 100 peer-reviewed articles, including works on Mazurkiewicz distance, BV trace theorems, and Besov spaces. Awards include the 2008 McMicken Dean's Award and 2017 Graduate School Fellowship. Grants include NSF funding for 'Notions of curvature and potential theory' (2024–2027) and 'Role of Gromov hyperbolicity' (2021–2024). She actively contributes to editorial boards of journals like Revista Matemática Complutense and serves on international conference committees.

Roi ZurView profile

Lecturer

• Comparative Politics
• Voting Behavior
• Electoral Strategies
• +5 more

Roi Zur is a Lecturer in the Department of Government at the University of Essex. He holds a PhD from the University of California, Davis. His research focuses on comparative politics, particularly voting behavior, electoral strategies of political parties, political representation, and institutional dynamics. He specializes in party politics in established and new democracies, with a particular emphasis on party survival in parliaments and the political landscape of Israel. His work has been published in leading journals like the British Journal of Political Science and Electoral Studies . Dr. Zur teaches courses on democratic institutions, electoral behavior, and Israeli politics at Essex. His teaching emphasizes analytical frameworks for understanding political systems and electoral processes. His research explores formal models of party strategies, the empirical implications of these models, and the structural factors influencing party longevity in legislative bodies. While no specific scientific awards are listed, his extensive publication record reflects scholarly recognition. His research agenda includes two core themes: formal models of electoral strategies and the duration of party parliamentary survival. He currently holds an academic position since 2020 and maintains regular office hours for student support.

Hai Long DaoView profile

Professor

• Commutative Algebra
• Algebraic Geometry
• Category Theory
• +3 more

Hai Long Dao is a Professor in the Department of Mathematics at the University of Kansas. His research focuses on Commutative Algebra, Algebraic Geometry, Category Theory, and Combinatorics. He has advised multiple PhD students, including Souvik Dey, Ritika Nair, Monalisa Dutta, and current student Sreehari Suresh-Babu. Dao collaborates extensively with researchers globally, as evidenced by his long list of collaborators. He serves as an editor for the Bulletin of the Korean Mathematical Society and has been involved in the International Mathematical Olympiad (IMO) in various capacities. Key research areas include syzygies, homological dimensions, and singularities. His work bridges algebraic and geometric concepts, with applications to combinatorial problems. Dao's recent publications explore topics like periodicity in resolutions, Betti numbers, and F-nilpotent singularities. He frequently contributes to conferences and workshops in algebra and combinatorics.

Yifan SunView profile

Assistant Professor

• Optimization Algorithms
• Machine Learning
• Scientific Computing
• +10 more

Yifan Sun is an Assistant Professor in the Department of Computer Science at Stony Brook University. She is also affiliated with the AI Institute and the Institute of Advanced Computational Science (IACS) at Stony Brook. Dr. Sun received her PhD in Electrical Engineering from UCLA in 2015, with research focusing on convex optimization and semidefinite programming. Prior to joining Stony Brook, she worked at Technicolor Research and Innovation on machine learning applications and completed postdoctoral research at the University of British Columbia in Vancouver and INRIA in Paris. Her research centers on the design and analysis of optimization algorithms, particularly those arising in large-scale machine learning and scientific computing. Dr. Sun studies how structural properties like sparsity, curvature, and decomposability can be exploited to design faster, more stable, and more interpretable optimization methods. Her work spans both theoretical foundations and practical applications, covering first-order methods, quasi-Newton techniques, and algorithms for convex programming to nonconvex deep models. She also investigates how optimization theory, particularly insights from linear algebra and geometry, can improve understanding of deep learning models, regularization techniques, and representation learning. Dr. Sun's recent publications demonstrate strong trends in large-scale graph learning, advanced optimization techniques (particularly Frank-Wolfe variants), and applications to natural language processing. Her work often bridges theoretical guarantees with practical implementations, as evidenced by her open-source code repositories. She leads the OptML Research lab at Stony Brook, focusing on optimization methods for machine learning challenges. Her publications appear in top venues including NeurIPS, ICML, CVPR, and various optimization journals, reflecting her interdisciplinary approach that connects computer science, applied mathematics, and engineering disciplines.

Georgi GrahovskiView profile

Senior Lecturer

• Theoretical Physics
• Mathematical Physics
• Integrable Systems
• +3 more

Dr. Georgi Grahovski is a Senior Lecturer in the Department of Mathematical Sciences at the University of Essex, affiliated with the School of Mathematics, Statistics and Actuarial Science (SMSAS). He holds a PhD in Theoretical and Mathematical Physics from the Bulgarian Academy of Sciences (2003) and earlier degrees from Sofia University. His research focuses on integrable systems, nonlinear dynamics, and mathematical physics, with notable contributions to quantum spin systems, affine Toda field theories, and soliton interactions. Dr. Grahovski has held academic positions at Essex since 2013, transitioning from Lecturer to Senior Lecturer in 2018. His work bridges theoretical physics and applied mathematics, emphasizing spectral analysis, Hamiltonian systems, and symmetry reductions. He teaches advanced mathematics courses and maintains office hours during academic terms. His research interests include integrable hierarchies, nonlinear Schrödinger equations on symmetric spaces, and Grassmann extensions of Yang-Baxter maps. He has published extensively on topics such as PT-symmetric systems, soliton interactions, and gauge group actions on integrable equations. Despite no listed awards or grants in the provided texts, his contributions to the field are evident through his prolific publication record. Dr. Grahovski’s academic support includes regular office hours and by-appointment consultations. He is involved in teaching and supervision activities, though no specific student advisees are listed here.

Stefan RichterView profile

Professor

• Operator Theory
• Complex Analysis
• Functional Analysis
• +5 more

Stefan Richter is a Professor of Mathematics in the Department of Mathematics at the University of Tennessee, Knoxville. He holds a Ph.D. from the University of Michigan and a degree from the Christian-Albrechts-Universität in Kiel, Germany. His research focuses on operator theory and complex analysis, with emphasis on invariant subspaces, Hilbert function spaces (e.g., Dirichlet space, Drury-Arveson space), and analytic function theory. He has organized conferences like the Southeastern Analysis Meeting (SEAM) and the Hilbert Function Spaces conference. His work explores topics such as cyclicity in function spaces, Toeplitz operators, and multi-variable operator theory. Research interests include operator theory applications to function spaces, boundary behavior of analytic functions, and structural properties of invariant subspaces. Notable contributions involve characterizing cyclic vectors in Dirichlet-type spaces and analyzing multipliers between function spaces. Richter has also engaged in interdisciplinary collaborations, such as exploring connections with non-commutative analysis through graph transformations. His academic activities span organizing international conferences (e.g., SEAM 2017), delivering invited lectures at AMS meetings, and maintaining an active publication record in leading journals. His professional contributions are further evidenced by his role in academic service, including editorial work and participation in workshops like the CIRM conference on Hankel operators.

Joe William Trotter Jr.View profile

Professor

• African American History
• Urban History
• Labor History
• +4 more

Joe William Trotter Jr. is the Giant Eagle University Professor of History and Social Justice at Carnegie Mellon University, where he has been a faculty member since 1985. He previously served as Chair of the History Department and is the Founder and Director of Carnegie Mellon's Center for Africanamerican Urban Studies and the Economy (CAUSE). He is also President Elect of the Urban History Association and a distinguished member of the American Academy of Arts and Sciences. His academic journey began with a BA from Carthage College in Kenosha, Wisconsin, followed by M.A. and Ph.D. degrees from the University of Minnesota (1980). This educational foundation established his trajectory as a leading scholar in African American historical studies. Trotter's research centers on African American urban history, labor history, and working class history , with a particular focus on how economic structures intersect with racial dynamics. His scholarship spans from the colonial era to contemporary times, examining African American contributions to urban development and industrial growth. He has pioneered methodologies that connect local Pittsburgh history to national and global contexts, especially in his work on black labor movements and urban segregation patterns. His publications reveal a consistent analytical framework that challenges deficit narratives about African American communities. Rather than framing black populations as dependent 'takers,' his work demonstrates their essential role as economic 'givers' throughout American history. His recent scholarship expands this analysis globally, examining urban segregation across different historical periods and geographical locations, while maintaining Pittsburgh as a key case study. Member of the American Academy of Arts and Sciences Giant Eagle University Professorship at Carnegie Mellon University President Elect of the Urban History Association Past President of the Labor and Working Class History Association Trotter has advised numerous graduate students who have pursued successful careers in academia and cultural institutions. His leadership extends through CAUSE, which he founded and directs, securing research funding and fostering collaborations between scholars, community organizations, and policymakers. He has served on significant academic committees including the Executive Council of the Organization of American Historians and the Program Committee of the American Historical Association. As founder of CAUSE, Trotter has cultivated a research ecosystem focused on interdisciplinary approaches to African American urban studies. The center hosts regular conferences, supports graduate research fellowships, and facilitates community-based research projects that document and preserve African American urban history in Pittsburgh and beyond.

Gongjun XuView profile

Associate Professor

• Latent Variable Models
• Psychometrics
• Statistical Learning
• +6 more

Gongjun Xu is an Associate Professor of Statistics and courtesy Associate Professor of Psychology at the University of Michigan. He leads the Master's Program in Applied Statistics and holds positions in the Department of Statistics within the College of Literature, Science, and the Arts (LSA). His research focuses on latent variable models, psychometrics, statistical learning, and high-dimensional statistics. Xu completed his Ph.D. in Statistics at Columbia University and B.S. at the University of Science and Technology of China (USTC). His research interests include advanced statistical methodologies for educational and psychological measurement, such as cognitive diagnosis models, item response theory, and network data analysis. He has contributed to high-dimensional inference, survival analysis, and machine learning applications in healthcare. Xu serves as Co-Editor-in-Chief of the Journal of Educational and Behavioral Statistics and holds editorial roles in multiple top-tier journals. Xu has been recognized with prestigious awards including the AERA Research Methodology Award (2025), ICSA President’s Citation (2024), and COPSS Emerging Leader Award (2023). His team advises numerous graduate and undergraduate students, many of whom pursue academic and industry roles in statistics, data science, and education. Key collaborations include work on educational testing, health analytics, and AI-driven scientific methods via the Schmidt AI in Science Fellowship. He oversees a vibrant research group with active projects in latent variable modeling, differential item functioning detection, and scalable Bayesian methods for large-scale assessments. His lab emphasizes interdisciplinary applications spanning education, healthcare, and social sciences.

Nayel BettacheView profile

Visiting Assistant Professor

• Mathematical Statistics
• Machine Learning
• Time Series Analysis
• +3 more

Nayel Bettache is a Visiting Assistant Professor in the Department of Statistics and Data Science at Cornell University since August 2024. He holds a PhD in Mathematical Statistics from Institut Polytechnique de Paris (advised by Cristina Butucea). His research focuses on foundational aspects of mathematical statistics and machine learning, emphasizing provable theoretical guarantees for practical methods. Key areas include time series analysis, random matrices, and high-dimensional problems. He has held visiting roles at Harvard and Cornell, and was a researcher at CREST-ENSAE. Education : PhD in Mathematical Statistics, Institut Polytechnique de Paris (2021–2024) M.Sc. in Statistics and Learning, ENSAE IP Paris (2017–2020) M.Sc. in Data Science, Ecole Polytechnique (2019–2020) Classes Préparatoires MPSI-MP, Institution Aux Lazaristes (2014–2017) Research Interests : His work bridges theoretical statistics and applied machine learning, with emphasis on matrix regression, high-dimensional estimation, and time series analysis. He designs methods with rigorous statistical guarantees while maintaining computational efficiency. Teaching : Currently teaches Statistical Methods II, R Programming, and Machine Learning at Cornell. Previously served as a teaching assistant at ENSAE with top pedagogical ratings. Awards : Junior Scientific Visibility Grant (2023, Fondation Mathématique Jacques Hadamard) PhD Grant (2021–2024, Genes Foundation) Other Activities : Founded NayelPrepa, an educational company with 250k+ video views and 100+ trained students, rated 100% 5-star on Trustpilot. Conducted industrial research at BNP Paribas and Advestis.

Gautam RaoView profile

Associate Professor

• Development Economics
• Behavioral Economics
• Mental Health Economics
• +3 more

Gautam Rao is an Associate Professor at UC Berkeley's Haas School of Business and Department of Economics, specializing in Development Economics and Behavioral Economics . He holds a PhD from UC Berkeley and focuses on applying psychological insights to economic problems in developing countries. Research Areas : Mental health economics, sleep interventions, policy evaluation, social preferences Labs : Co-directs the Behavioral Development Lab in India Affiliations : Faculty Research Fellow at NBER, affiliate of J-PAL Editorial Role : Former Associate Editor at Journal of Political Economy (2018-2020) His recent publications explore topics like sleep improvement impacts on labor productivity, mental health in low-income populations, and behavioral mechanisms in public policy. Gautam Rao has received significant recognition through fellowships and peer-reviewed publications in top journals. For advising, he expects regular updates and structured communication from students. He emphasizes evidence-based approaches in both research and teaching, including courses on psychology and economics.