Find Academic Supervisors

Gaylyn StudlarView profile

Professor

• Feminist Film Theory
• Hollywood Cinema
• Genre Studies
• +3 more

Gaylyn Studlar is the David May Distinguished Professor in the Humanities and Professor of Film and Media Studies at Washington University in St. Louis. She joined the faculty in 2009 after stints at the University of Michigan (1996–2009) and Emory University. At Michigan, she held the Rudolf Arnheim Collegiate Professorship in Film Studies and directed the Program in Film and Media Studies, which evolved into the Department of Screen Arts and Cultures during her tenure. Her research spans feminist film theory, Hollywood cinema, genre studies, stardom, and Orientalism, with a focus on the intersection of film and other arts. Education: PhD in Cinema Studies, University of Southern California Master of Music in Cello Performance, University of Southern California Research Interests: Studlar’s work explores gender dynamics in film history, particularly through studies of stardom and genre. Notable projects include analyses of Marlene Dietrich, John Ford’s Westerns, and the cultural impact of Titanic . She is currently writing Erotic Labor: Sex, Class, and Stardom in Pre-Code Hollywood . Publications: Her major works include Precocious Charms (2013) and Have Gun—Will Travel (2015), which examine stardom and genre. Her scholarship has been translated into multiple languages. Awards: Excellence in Education Award (1996, University of Michigan) Provost’s Office Grant (1997) Teaching & Leadership: At WashU, she teaches courses like Film Theory, Women & Film, and Film Historiography. She has led academic programs and expanded curricula in film studies. Her work bridges cinema with music and visual arts, reflecting interdisciplinary interests.

Michael DunbarView profile

Lecturer

• Regenerative Design
• Interaction and Service Design
• Data Visualization
• +8 more

Dr. Michael (Miek) Dunbar is a Lecturer in Communication Design at RMIT University's School of Design , specializing in interaction and service design for regenerative futures. He co-leads the Greater Melbourne City Portrait initiative with Regen Melbourne, focusing on creating safe social and ecological urban frameworks. His work challenges anthropocentric data practices while developing digital public tools for urban decision-making. Key research areas include: Regenerative Design, More-than-human Data Sets, Collaborative Design Teams Teaching: Master of Communication Design program, Service Design, Work Integrated Learning His publications address urban data infrastructures, collaborative design methods, and regenerative practices. Projects like Australia's first Housing Monitor demonstrate his focus on civic data systems and urban sustainability. Current research explores: Relational ontologies in data visualization Multi-species sensing apparatuses Expanded participatory data governance

Mark KramerView profile

Professor

• Neuroscience
• Computational Neuroscience
• Mathematical Modeling of Neural Activity
• +5 more

Mark Kramer is a Professor in the Department of Mathematics & Statistics at Boston University. He belongs to the Applied Mathematics research group, focusing on mathematical, statistical, and machine learning approaches to characterize brain activity. His work bridges data-driven neuroscience with computational methods, exploring topics like biophysical models of neurons, field models of neural populations in epilepsy, and theoretical questions about brain rhythms. His research interests include: Biophysical modeling of single-neuron dynamics Neural population activity in pathological states Machine learning for detecting abnormal brain rhythms Analysis of cross-frequency coupling and coherence Kramer has developed educational resources like Case Studies in Neural Data Analysis using both MATLAB and Python. These materials teach practical data analysis techniques for spike trains and field data, emphasizing hands-on implementation over theoretical mathematics. He has received funding from NIH and NSF for computational neuroscience projects. His recent publications focus on epilepsy research, sleep spindle analysis, and neural signal processing. The work spans from developing statistical frameworks to understanding network dynamics in seizure termination and exploring phase consistency in neural data. Notably, his coherence studies revealed non-intuitive coupling patterns between brain regions, demonstrating that low-amplitude rhythms can be more informative than dominant ones.

Jeffrey DoserView profile

Assistant Professor

• Ecological Modeling
• Species Distribution Analysis
• Spatial Statistics
• +3 more

Jeffrey Doser is an Assistant Professor in the Department of Forestry and Environmental Resources at North Carolina State University (NC State), within the College of Natural Resources. His research focuses on ecological modeling, species distribution analysis, spatial statistics, and biodiversity monitoring. He specializes in developing R software tools for ecological data analysis, such as the spAbundance and spOccupancy packages. His work emphasizes improving statistical methods for occupancy models, integrating acoustic and survey data, and addressing environmental challenges like invasive species and climate change impacts on ecosystems. Key research themes include species-environment interactions, spatially varying coefficients in ecological models, and functional reproducibility in scientific coding. His recent studies address topics such as American chestnut restoration, wild bee community dynamics, and early detection of invasive aquatic species. Doser collaborates on interdisciplinary projects involving forest inventory, avian soundscapes, and long-term ecological monitoring. His publications (2020–2025) highlight methodological advancements in species distribution modeling, occupancy frameworks for multi-season data, and applications of Bayesian approaches. He advocates for rigorous statistical practices and reproducible research in ecology.

Judd SneirsonView profile

Professor

• corporate governance
• sustainable business
• corporate social responsibility
• +3 more

Professor Judd Sneirson is a faculty member at Southern University Law Center, specializing in corporate governance, sustainable business practices, and corporate social responsibility. He teaches courses in business entities, contracts, commercial law, and corporate sustainability. His academic career follows prior roles as a federal district court law clerk in New Jersey and a litigation associate at Willkie Farr & Gallagher in New York. He holds degrees from Williams College and the University of Pennsylvania Law School. Professor Sneirson is renowned for his pioneering work in integrating sustainability into business law education, including authoring the first law school coursebook Sustainability & Business Law (2017). His research challenges traditional shareholder primacy models, advocating for balanced corporate governance frameworks that prioritize environmental and social accountability. He contributes to top legal journals and collaborates internationally to advance corporate sustainability. His scholarship spans corporate law, environmental law, and ethics, with notable works analyzing greenwashing in oil corporations, post-disaster corporate governance, and legislative reforms for sustainable business practices. He has also explored tensions between contractual obligations and corporate law in merger agreements. Though no formal grants or awards are listed, his impactful publications reflect a sustained focus on redefining corporate responsibility. His teaching and research emphasize practical applications of legal principles to real-world sustainability challenges.

Alicia KollárView profile

Assistant Professor

• Quantum Simulation
• Circuit Quantum Electrodynamics (cQED)
• Superconducting Circuits
• +3 more

Alicia Kollár is the Chesapeake Assistant Professor of Physics at the University of Maryland, affiliated with the Joint Quantum Institute (JQI) and Quantum Technology Center. She holds a B.A. from Princeton University (2010) and a Ph.D. from Stanford University (2016). Her research focuses on quantum simulation using superconducting circuits, particularly leveraging coplanar waveguide (CPW) lattices to explore hyperbolic geometries, gapped flat bands, and photon-mediated spin models. Her work bridges condensed matter physics, quantum optics, and topological systems, with applications in quantum error correction and novel quantum materials. Key projects include creating artificial photonic materials in circuit QED, studying driven-dissipative systems, and developing experimental platforms for Floquet engineering. She has pioneered hyperbolic lattice designs enabling non-Euclidean quantum simulations and contributed to protocols for verifying quantum advantage. Her lab actively seeks postdocs and graduate students, emphasizing interdisciplinary approaches to quantum science and technology. Notable awards: NSF CAREER Award (2021), Princeton Materials Science Postdoctoral Fellowship (2017) Research groups: AMPED, JQI, Quantum Information and Computer Science (QuICS) Key collaborations: Andrew Houck (Princeton), JQI theorists Recent breakthroughs include demonstrating autonomously stabilized Floquet states and proposing efficient quantum verification protocols. Her work has been featured in PRX Quantum, Physical Review A/X, and Nature Communications.

Hamed BadihiView profile

Assistant Professor

• Condition Monitoring
• Fault-Tolerant Control
• Attack-Resilient Control
• +3 more

Hamed Badihi is an Assistant Professor in Automation Technology and Dependable Systems at Tampere University , part of the Faculty of Engineering and Natural Sciences. He leads the Dependability and Automation Research in Cyber-Physical Systems (DARES) Group within the Dependable Systems Cyber Laboratories . His research focuses on critical aspects of condition monitoring, fault-tolerant control, and attack-resilient control to advance sustainable, dependable cyber-physical systems. Research Interests include: Cybersecurity for industrial control systems Fault-tolerant control mechanisms Resilient control strategies for renewable energy systems Condition monitoring of wind turbines and microgrids Recent Contributions emphasize hybrid approaches combining machine learning and control theory for cyber-attack detection and system resilience in wind farms and microgrids. His work addresses challenges like real-time fault diagnosis and adaptive control under adversarial or environmental perturbations. Awards & Roles : Senior Member of IEEE, editor for International Transactions on Electrical Energy Systems , Advances in Fuzzy Systems , and Processes journals. Active in EU projects like StreamSTEP . Labs & Teams : Directs the DARES Group, collaborating on initiatives like the Dependable Systems Cyber Laboratories to pioneer innovations in cyber-physical system dependability.

Chen BinbinView profile

Associate Professor

• Wireless Networking
• Distributed Systems
• Cyber Security for Critical Infrastructures
• +3 more

Chen Binbin is an Associate Professor and Associate Head of Pillar (Innovation and Enterprise) in the Information Systems Technology and Design (ISTD) pillar at Singapore University of Technology and Design (SUTD). He serves as Deputy Director for the Future Communications Research and Development Programme (FCP), Singapore. Previously, he was a Principal Research Scientist at the Advanced Digital Sciences Center (now Illinois ARCS), affiliated with the University of Illinois. Education: PhD in Computer Science from National University of Singapore, and Bachelor's from Peking University. Research focuses on wireless networking, distributed systems, and cyber security for critical infrastructures like smart grids and industrial control systems. His work addresses secure communications, intrusion detection, and resilience against cyber-physical threats. Notable contributions include error-estimating coding, provenance verification in ICS, and AI-driven network security solutions. Key awards include the 2010 ACM SIGCOMM Best Paper Award for error-estimating coding research. His grants span agencies like Singapore's National Research Foundation (NRF), Cyber Security Agency (CSA), and Energy Market Authority (EMA). He leads projects on secure smart grid communication, industrial control system defense, and AI-enhanced cybersecurity tools. Technical leadership involves developing frameworks like CyberSAGE for security assessment and CMD for IoT malware detection. Active in collaborations with industry and government, his work bridges theory and practice in securing critical infrastructure systems.

• Music Technology
• Music Psychology
• Embodied Music Cognition
• +5 more

Alexander Refsum Jensenius is a Professor of Music Technology and Director of the RITMO Centre for Interdisciplinary Studies in Rhythm, Time and Motion at the University of Oslo. He also leads the fourMs Lab and co-founded the MishMash Centre for AI and Creativity. His work bridges musicology, psychology, and technology, focusing on embodied music cognition, human motion analysis, and creative applications of AI. Notably, he pioneered research on air guitar motion and human micromotion through projects like the Oslo Standstill Database . Educated at the University of Oslo (BA in Music and Mathematics, MA in Musicology) and Chalmers University of Technology (MSc in Applied IT), Jensenius holds a PhD in Music Technology from UiO. He has held visiting researcher roles at UC Berkeley, McGill University, and KTH. Leadership roles include Department of Musicology Head (2013–2016) and Steering Committee Chair for the International Conference on New Interfaces for Musical Expression (NIME, 2011–2022). Research interests span music-related body motion, AI in creative contexts, and open research practices. Key contributions include the Music Moves and Motion Capture MOOCs, the Musical Gestures Toolbox software, and monographs like Sound Actions and Sonic Design . His work emphasizes interdisciplinary collaboration, with projects addressing ventilation systems' acoustic properties and cell culture vibrational effects. Awards include the European Open Data Champion recognition. He advocates for open science and maintains extensive digital archives of research materials, emphasizing institutional web pages as critical research infrastructure.

Devery J. RodgersView profile

Assistant Professor

• Educational Leadership
• Tech Equity
• Education Technology in PK-12
• +10 more

Dr. Devery J. Rodgers is an Assistant Professor of Educational Leadership in the College of Education at California State University, Long Beach. Her work centers on equity, educational technology leadership, and culturally responsive practices in PK–12 and higher education. With over 20 years of experience as a K–12 administrator and teacher, she brings deep practical insight to her academic role. Education: Doctor of Education in Educational Leadership – University of Southern California Master of Arts in Education – Curriculum & Instruction – California State University, Dominguez Hills Bachelor of Arts in English and African-American Studies – University of California, Los Angeles Research Interests: Dr. Rodgers’ scholarship focuses on tech equity, leadership in education technology, culturally responsive leadership in STEM, and racial justice in education. She explores how digital tools can be leveraged equitably and how identity, particularly of Black students and educators, shapes educational outcomes. Publications and Research Trends: Her recent work spans pandemic pedagogy, AI bias, digital leadership, and mentorship. She frequently publishes in top journals and presents at AERA, ISTE, and NCORE. Her research consistently emphasizes equity, identity, and systemic change in education. Scientific Awards and Recognition: Recipient of the President’s/Provost’s EDI Grant Her graduate students have won 2nd place at the university-wide Grad SLAM competition (Melanie Gerner and Jaclyn Caballero) Advising and Grants: Dr. Rodgers actively mentors graduate students and leads research teams. She has secured institutional funding to study the experiences of Black graduate students and leads a data science team exploring algorithmic fairness in image diversity. She co-advises the Black/Pan-African Graduate Student Association, fostering community and support. Labs and Teams: She leads a data science research team focused on image diversity and algorithmic fairness, which has presented at the CSULB College of Natural Sciences and Mathematics Symposium. Her collaborative work integrates education, technology, and social justice.

Théo WinterhalterView profile

Researcher

• Type Theory
• Proof Assistants
• Formal Verification
• +3 more

Théo Winterhalter is a researcher at INRIA Saclay and a member of the Laboratory of Mathematics and Computer Science (LMF) at ENS Paris-Saclay . He previously held a postdoctoral position at the Max Planck Institute for Security and Privacy (MPI-SP) and completed his PhD at the Gallinette research team in Nantes, supervised by Nicolas Tabareau and Matthieu Sozeau. Education PhD in Computer Science, 2017–2020, University of Nantes (Gallinette/Inria) MSc in Computer Science, École Normale Supérieure de Rennes Research interests include type theory , proof assistants , formal verification , and dependent types . He actively works on improving the safety and usability of proof assistants like Rocq (formerly Coq), focusing on rewrite rules, erasure, and cryptographic verification. His work often involves formalizing results within proof assistants and developing tools for verified programming. Contributions span conferences like POPL, ICFP, CPP, and TYPES. Recent projects include foundational verification of high-speed cryptography ( The Last Yard ), type-preserving rewrite rules ( The Rewster ), and modular cryptographic proofs ( SSProve ). His publications emphasize formal methods and computational assumptions in type theory. Teaching includes the Proof Assistants course at MPRI , a joint master’s program. He co-supervises PhD students like Yann Leray and has mentored interns on topics such as erased data implementation and Autosubst tooling. Labs and Teams : Deducteam (INRIA Saclay) – Developing deduction tools and formal verification LMF (ENS Paris-Saclay) – Laboratory for Mathematics and Computer Science Gallinette (former) – Team at INRIA Nantes MetaCoq Project – Collaborative effort on Coq verification

Ruben MartinsView profile

Assistant Professor

• Constraint Programming
• Program Synthesis
• Formal Verification
• +3 more

Ruben Martins is an Assistant Professor at Carnegie Mellon University's School of Computer Science and serves as the program director of the Master of Science in Computer Science (MSCS) . His research focuses on the intersection of constraint programming, program synthesis, analysis, and verification, with recent work aiming to make formal methods tools more accessible through automated reasoning. Ruben earned his Ph.D. with honors from the Technical University of Lisbon, Portugal (2013) , followed by postdoctoral research at the University of Oxford (2014-2015) and UT Austin (2015-2017) . Research Interests : Ruben's work bridges constraint programming and program synthesis , with applications in software verification , optimization , and automated reasoning . He has developed award-winning tools like Open-WBO , a modular MaxSAT solver that has won gold medals in international competitions. His publications span top-tier venues such as POPL , PLDI , FSE , SAT , and CP , often addressing real-world challenges from program analysis to network security. Scientific Awards include: Distinguished Paper Award at PLDI 2018 Distinguished Paper Award at FSE 2021 Distinguished Paper Award at SAT 2022 Gold medals for Open-WBO in MaxSAT competitions Teaching & Advising : Ruben mentors Ph.D., Master’s, and undergraduate students in research projects related to program synthesis, formal methods, and constraint solving. He teaches courses such as Bug Catching: Automated Program Verification and Advanced Topics in Logic: Automated Reasoning and Satisfiability , emphasizing hands-on experience with tools like Why3. His advising spans topics from AI-driven program repair to network protocol verification , fostering collaboration across disciplines.

• Educational Assessment
• Measurement and Evaluation
• Psychometrics
• +6 more

Stephen Humphry is a Senior Honorary Research Fellow at the Graduate School of Education, The University of Western Australia. He joined UWA in 2006 and has maintained continuous research funding through Australian Research Council Linkage grants since 2008. His work focuses on educational assessment, measurement, and evaluation, with significant contributions to large-scale testing programs including NAPLAN and WALNA. Humphry holds a Bachelor of Psychology from Western Australia and a PhD from Murdoch University. His expertise spans psychometrics, Rasch measurement, and quantitative methods in educational assessment. Dr. Humphry's research has increasingly focused on developing novel approaches that enable classroom teachers to reliably assess students in areas not amenable to large-scale testing. His work on pairwise comparison methods, Rasch analysis, and construct validity has advanced the field of educational measurement. He has published extensively on topics including narrative assessment, writing rubrics, and scale development. His recent publications demonstrate a strong trend toward innovative assessment methodologies, particularly in narrative writing and developmental attributes. These works emphasize practical applications for classroom teachers while maintaining rigorous psychometric standards. The research shows increasing sophistication in handling complex assessment challenges through pairwise comparison techniques and ordered exemplars. Dr. Humphry has supervised 7 research projects and has been awarded 25 research grants, including the current "International collaboration in teaching and learning of Einsteinian physics" project funded by the Australian Research Council until 2025. He has also led multiple NAPLAN-related research projects for the Australian Curriculum Assessment & Reporting Authority. His industry experience includes leading the Central Analysis of Data project for NAPLAN (2011-2013) and serving as Psychometrician for the Western Australian Department of Education's large-scale assessment program prior to joining UWA. His research has led to commercial applications including Brightpath Assessments, used by several hundred schools across Australia.

• Software Engineering
• Software Security
• Foundations of Program Analysis
• +9 more

Marcel Böhme is a faculty member at the Max Planck Institute for Security and Privacy (MPI-SP) , leading the Software Security research group. His work focuses on foundational advancements in fuzzing , statistical program analysis, and scalable vulnerability discovery. Education: PhD from National University of Singapore (NUS) Research interests span: Statistical and causal frameworks for software testing Efficiency/Scalability of automated testing Fundamental limits of vulnerability detection Practical fuzzing technology (e.g., Entropic in LibFuzzer) Recent publications highlight trends in: Machine learning for security analysis Privacy-preserving statistical methods Future-proof security frameworks Protocol fuzzing with large language models Scientific accolades include: ERC Consolidator Grant (2024) NUS Outstanding Young Alumni Award (2022) ARC DECRA (2019) Multiple ACM Distinguished Paper Awards He serves as: Spokesperson for Research Group Leaders at Max Planck Society Guest Editor-in-Chief for ACM TOSEM PC Chair for ASE'25 and ISSTA'26

Steven HalimView profile

Associate Professor

• Algorithms & Theory
• Combinatorial Algorithms
• Graph Theory & Algorithms
• +13 more

Steven Halim is an Associate Professor (Educator Track) in the Department of Computer Science at the School of Computing, National University of Singapore (NUS). He has been a full-time educator since 2007, teaching a wide range of courses including Data Structures and Algorithms, Competitive Programming, and Design and Analysis of Algorithms. He currently serves as the Director of the Centre for Nurturing Computing Excellence (CeNCE) and is a Fellow of the NUS Teaching Academy. Ph.D. in Computer Science, National University of Singapore B.Sc. in Computer Science, National University of Singapore His research and teaching interests focus on algorithms, competitive programming, visualization, and optimization. He is renowned for creating VisuAlgo , an interactive online platform that visualizes data structures and algorithms, used by students and educators worldwide. He is also the co-author of the widely acclaimed book "Competitive Programming" , now in its fourth edition, which is a key resource for programming contest preparation. His recent scholarly work centers on pedagogical innovations in computer science education, particularly algorithm visualization and competitive programming methodologies. Earlier publications from his PhD work focused on stochastic local search, metaheuristics, and algorithm tuning through visualization. The articles span topics from educational technology to combinatorial optimization, reflecting a transition from research in algorithm engineering to leadership in computing education. Commendation Medal (Pingat Kepujian), National Day Awards 2018 NUS Annual Teaching Excellence Award (ATEA) 2014/15, 2017/18, 2018/19 (with Honour Roll) Faculty Teaching Excellence Award (FTEA) 2011/12, 2012/13, 2014/15 (with Honour Roll) Best Teaching Assistant Award 2007/08 Steven Halim has advised numerous students through his courses and competitive programming teams. He has served as the head coach for NUS ICPC teams since 2008 and team leader for Singapore IOI teams since 2009, leading them to multiple international medals. He has also held leadership roles in major international competitions, including Deputy Director for IOI 2020 and 2021, and Regional Contest Director for ICPC Asia Singapore 2015 and 2018. He was a Resident Fellow at NUS Sheares Hall for nine years, deeply engaging with student life. He leads the Centre for Nurturing Computing Excellence (CeNCE), where he manages programming competition activities for both NUS and Singapore national teams. His work integrates education, competition, and mentorship, creating a synergistic environment that has significantly elevated Singapore's performance in international informatics olympiads.