Find Academic Supervisors

• 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.

Lori L. HoltView profile

Professor

• Auditory Cognitive Neuroscience
• Speech Perception
• Statistical Learning
• +3 more

Lori L. Holt is a Professor of Psychology at the University of Texas at Austin (UT-Austin), where she leads the Holt Lab. Previously, she served as faculty at Carnegie Mellon University (1999–2023), contributing to the Center for the Neural Basis of Cognition. Her research focuses on auditory cognitive neuroscience, exploring how learning, attention, and neural mechanisms shape speech perception and communication. She holds a BS and PhD in Psychology from the University of Wisconsin-Madison (1995, 1999). Her work investigates the neural foundations of listening, emphasizing adaptive plasticity in speech perception, statistical learning dynamics, and the interplay between sensory input and cognitive processes. Recent studies examine how short-term sound statistics influence perceptual weighting, the impact of accent exposure on speech production, and neural correlates of auditory category learning. The Holt Lab, equipped with EEG facilities, advances understanding of voice perception, speech motor control, and neurocognitive adaptation. Dr. Holt teaches courses such as Behavioral Neuroscience (PSY 332) and Biopsychology (PSY 308), reflecting her expertise in linking biological mechanisms to psychological processes. Her research has been published in leading journals, with a focus on auditory neuroscience, statistical learning, and neurorehabilitation.

• 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.

John O'DohertyView profile

Professor

• Decision Neuroscience
• Reward Learning
• Neural Mechanisms of Decision-Making
• +4 more

John O'Doherty is the Fletcher Jones Professor of Decision Neuroscience at the California Institute of Technology (Caltech). He holds a B.A. from Trinity College Dublin (1996) and a D.Phil. from the University of Oxford (2000). His academic trajectory includes roles as Assistant Professor (2004–2007), Associate Professor (2007–2009), and Professor (2009–present), culminating in his current endowed chair since 2021. From 2013–2017, he served as Director of the Caltech Brain Imaging Center. Research Focus: O'Doherty’s work investigates how the brain processes decisions under uncertainty, encodes reward values, and learns from experience. His group studies neural systems involved in decision-making, including arbitration between model-based and model-free learning strategies, the role of prefrontal and striatal circuits in value representation, and social learning mechanisms. They utilize computational modeling combined with neuroimaging (fMRI) and electrophysiological techniques. Key Contributions: His research bridges cognitive neuroscience and psychiatry, addressing topics like gambling disorder, autism spectrum traits, anorexia nervosa, and obsessive-compulsive behaviors. He has pioneered studies on the neural substrates of reward prediction errors, hierarchical decision-making, and the interplay between habitual and goal-directed actions. Affiliations: Caltech Brain Imaging Center (Former Director) Leading international collaborations in neuroeconomics and computational psychiatry Grants & Funding: Extensive support from NIH, NSF, and private foundations for projects on decision neuroscience and translational mental health research.

John WrightView profile

Assistant Professor

• Quantum Computing
• Theoretical Computer Science
• Quantum Complexity Theory
• +3 more

John Wright is an Assistant Professor in the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley. His research centers on theoretical computer science with a focus on quantum computing, specifically quantum state learning, quantum complexity theory, property testing, and approximation algorithms. He is affiliated with the Simons Institute for the Theory of Computing. Education includes a Ph.D. in Computer Science from Carnegie Mellon University (2016), advised by Ryan O'Donnell, and a B.Sc. in Computer Science from the University of Texas at Austin. Research interests span quantum complexity, interactive proofs (e.g., MIP* = RE), quantum algorithms, and foundational aspects of quantum computation. His work bridges computer science, physics, and mathematics, with emphasis on understanding computational limits through quantum paradigms. Publications primarily explore quantum complexity, algorithms, and verification, with recent trends including quantum cryptography, tomography, and hardness proofs. Articles frequently involve collaborations with researchers like Thomas Vidick, Henry Yuen, and Ryan O'Donnell. Awards include the IEEE CS TCPAMI Young Researcher Award (2015). Teaching covers graduate and undergraduate courses such as CS 170 (Efficient Algorithms and Intractable Problems) and CS 294 (Quantum Complexity Theory). He advises students in quantum computing research and collaborates extensively across institutions. Labs/teams include the Quantum Computing group at UC Berkeley, with ties to the Simons Institute. Research support is managed by Amy Frithsen.

Lisa YanView profile

Teaching Professor

• Computer Science Education
• Computing Ethics
• Teaching Assistant Training
• +2 more

Lisa Yan serves as a Teaching Professor in the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley, appointed in Spring 2022. She teaches core computer science education courses including CS 195 (Social Implications of Computer Technology), CS H195 (Honors variant), CS 294-189 (Teaching Process Design), and CS 375 (Teaching Techniques), holding regular office hours in Soda Hall for student engagement. Her academic credentials include: PhD in Electrical Engineering from Stanford University (2019) MS in Electrical Engineering from Stanford University (2015) BS in Electrical Engineering and Computer Science from UC Berkeley (2013) Dr. Yan's research centers on data-driven analysis of student learning in large-scale computer science courses, with significant contributions to computing ethics pedagogy and teaching assistant development programs. Her work develops innovative methodologies for assessing student earnestness in interactive lectures, creating flexible learning extensions, and designing integrity-focused assessments. Earlier research focused on software-defined networking and network switch performance optimization, demonstrating technical depth before her pivot to educational innovation. Current projects emphasize scalable teaching techniques and mastery learning frameworks that address challenges in modern CS education. Analysis of her 14 publications (2013-2024) reveals a strategic shift from computer networking (pre-2018) to computer science education research (2018-present). Recent work (2020-2024) dominates in venues like SIGCSE, featuring tools such as Otter-Grader for Jupyter notebook grading and the Earnest Insight Toolkit for lecture participation analysis. This evolution highlights her commitment to solving practical educational challenges through data analysis and tool development, particularly for large undergraduate courses. She received recognition through: The Faculty Award for Outstanding Mentorship of GSIs (2024) Lisa actively mentors Graduate Student Instructors and collaborates with educational technology initiatives. Her research team includes dedicated support staff like Taylor Kaserman (taylor.kase@berkeley.edu), reflecting structured collaboration in developing teaching innovations. She contributes to curriculum design committees within EECS, focusing on assessment integrity and scalable pedagogical methods for growing student populations. Her work operates through the EECS department's educational infrastructure, utilizing Soda Hall resources for both teaching coordination and research development, with strong connections to Berkeley's broader computing education ecosystem.

• Corporate Law
• International Law
• International Trade Law
• +7 more

William J. Moon is an Associate Professor of Law at the University of Maryland Francis King Carey School of Law, where he conducts research and teaches in the areas of corporate law, international law, and international trade law. His scholarly work focuses on jurisdictional competition, tax havens, corporate governance, and the intersection of domestic and international legal systems. Professor Moon's research interests span several key areas: Corporate law and jurisdictional competition, particularly examining Delaware's position in global corporate law International investment law and the role of tax havens in shaping corporate governance Conflict of laws issues in transnational corporate litigation The intersection of corporate purpose, ESG considerations, and traditional shareholder wealth maximization International trade law, with particular attention to North Korea and the Kaesong Industrial Complex His extensive publication record demonstrates a consistent focus on how legal frameworks interact across jurisdictional boundaries, with particular attention to how tax havens and offshore jurisdictions influence corporate behavior and legal development. Moon's work often bridges theoretical legal analysis with practical implications for corporate governance and international regulatory cooperation. Professor Moon has received significant scholarly attention for his work, with his paper 'Delaware's New Competition' garnering over 1,500 downloads and multiple citations. His research has appeared in top law journals including Northwestern University Law Review, Michigan Law Review, and Virginia Journal of International Law. His scholarly impact is evident in his SSRN profile, which shows 16 papers with over 9,000 total downloads and 7 total citations, indicating substantial engagement from the academic and professional legal community.

Emily BrayshawView profile

Research Fellow

• Performance Costume
• Fashion History
• Textile Design
• +7 more

Dr Emily Brayshaw is an Honorary Research Fellow and Casual Academic at the University of Technology Sydney's Faculty of Design, Architecture and Building. She combines scholarly work in critical costume studies with theatrical costume design and viola performance . Holding a 2016 PhD in Design from UTS and a BA (Hons) from the University of New South Wales, her research spans fashion history, performance costume, and material culture. Current Appointments: Honorary Research Fellow (2019-2026), Casual Academic in Design/Fashion History Research Themes: WWI dress, kitsch aesthetics, sustainability in costume, shoe studies, and body-garment dynamics Her interdisciplinary work connects fashion theory with theatre practice, examining costume's psychological and ethical dimensions. Publications since 2014 explore topics ranging from vaudeville's racialized costumes to contemporary footwear trends . She actively contributes to public discourse through The Conversation and maintains memberships in the Footwear Research Network and Association of Dress Historians . Recent scholarship reveals trends in 20th-century costume methodology , WWI fashion dynamics , and shoe symbolism across media. Articles like 'Dressing for the Viola' (2023) and 'From Caftan King to Peacock Pasha' (2024) demonstrate her focus on gendered performance wear and orientalist fashion . Her 2021 Journal of Aesthetics & Culture translation of Schlemmer's kitsch manuscript bridges historical avant-garde theory with modern practice. As a public intellectual, Emily has completed over 100 media interviews since 2020, covering topics like Crocs' cultural resurgence and vaudeville's legacy . Her teaching encompasses fashion theory, critical thinking, and costume history, while she simultaneously serves as principal viola for the Woollahra Philharmonic Orchestra.

Naoki SaitoView profile

Professor

• Applied and Computational Harmonic Analysis
• Graph Signal Processing
• Multiscale Transforms
• +6 more

Naoki Saito is a Professor in the Department of Mathematics at the University of California, Davis, and the Director of the UC Davis TETRAPODS Institute of Data Science (UCD4IDS). His research lies at the intersection of applied mathematics, signal processing, and data science, with a focus on multiscale analysis and harmonic analysis on graphs and networks. His research interests include Applied and Computational Harmonic Analysis , Graph Signal Processing , Multiscale Transforms , Wavelets , Spectral Graph Theory , and Mathematical Data Representation . He develops theoretical frameworks and practical algorithms for analyzing complex datasets, particularly through the use of Laplacian eigenfunctions and multiscale basis dictionaries. The recent publications reflect a strong trend toward graph-based signal processing , scattering transforms , and topological data analysis . His work emphasizes the construction of natural, adaptive bases for signals on graphs and simplicial complexes, enabling efficient and interpretable data analysis. The integration of harmonic analysis with machine learning techniques is a recurring theme. Although no specific scientific awards are listed in the provided texts, his sustained scholarly output and leadership in the field are evident. Dr. Saito advises a number of students and postdoctoral researchers, including J. Irion, Y. Shao, H. Li, and others. His research has been supported by various grants, though specific funding sources are not detailed in the provided materials. He leads the UCD4IDS, a research institute focused on data science, indicating active involvement in collaborative, interdisciplinary research and academic leadership.

Mateo Valero CortésView profile

Professor

• Computer Architecture
• High-Performance Computing
• Parallel Computing
• +3 more

Mateo Valero Cortés is a renowned Professor of Computer Architecture at the Polytechnic University of Catalonia and Director of the Barcelona Supercomputing Center (BSC). He has held academic and leadership roles since 1974, advancing high-performance computing (HPC) and computer architecture research. His work includes pioneering contributions to vector architectures, multithreading, and instruction-level parallelism. Education includes a Telecommunications Engineering degree from the Polytechnic University of Madrid (1974) and a PhD in Telecommunications Engineering from the Polytechnic University of Catalonia (1980). His research spans over 700 publications, focusing on HPC systems, parallel computing, and supercomputing infrastructure. Key research interests include vector processing, super-scalar processors, and task-based programming models. Recent work emphasizes scalable architectures for exascale computing and energy-efficient hardware-software co-design. Notable achievements include the Eckert-Mauchly Prize (highest in computer architecture), Seymour Cray Award, and Charles Babbage Prize. He has led initiatives like the Spanish Supercomputing Network (RES) and PRACE (European HPC partnership). Academic affiliations include the Royal Academy of Engineering of Spain, ACM Fellow, and IEEE Fellow. He has received 13 honorary doctorates and awards such as Mexico’s Order of the Aztec Eagle. Current projects include the Mont-Blanc HPC prototype and ERC-funded research on multi-core chip design. His BSC oversees over 300 researchers and manages MareNostrum supercomputers.

Psyche LouiView profile

Associate Professor

• Music Perception and Cognition
• Auditory Cognitive Neuroscience
• Creativity and Creative Practice
• +3 more

Psyche Loui is an Associate Professor of Creativity and Creative Practice in the Department of Music at Northeastern University, leading the Music, Imaging, and Neural Dynamics (MIND) Lab. She holds a PhD in Psychology from UC Berkeley and dual bachelor’s degrees in Psychology and Music from Duke University. Her research focuses on the neuroscience of music perception, including how music influences attention, emotion, and neurological conditions like ADHD. Her work has been supported by major grants from the NSF and NIH, and she has received awards such as the Templeton Positive Neuroscience Award and a NSF CAREER Award. Education : PhD in Psychology (Cognition, Brain, and Behavior), University of California, Berkeley Bachelor’s in Psychology and Music, Duke University Research & Grants : Loui’s research explores how neural mechanisms underpin music perception and cognition, with recent studies investigating the efficacy of algorithmically generated music for improving focus in ADHD. Her grants include NIH funding for projects like ‘Gamma-Music-Based Intervention for Alzheimer’s’ ($2.7M) and NSF support for ‘Reward Prediction in Creative Perception.’ Awards : National Science Foundation CAREER Award (2020) Templeton Positive Neuroscience Award (2010) Multiple Grammy Awards (text reference) Labs & Teams : Loui directs the MIND Lab, which uses neuroimaging and electrophysiology to study music-brain interactions. Collaborations include work with Brain.fm on attention-focused music interventions and global studies on cross-cultural music patterns. Teaching : Courses include Music Cognition , Acoustics and Psychoacoustics , and Creative Cognition , bridging theory with practical applications in neuroscience and education.

Seyed Hadi MirvahediView profile

Assistant Professor

• Critical Sociolinguistics
• Sociology of Language
• Language Policy
• +7 more

Seyed Hadi Mirvahedi is an Assistant Professor in the Faculty of Arts at the University of Groningen, specializing in Critical Sociolinguistics and Language Policy. He holds a PhD in Applied Linguistics from Victoria University of Wellington (2014), followed by postdoctoral research at Nanyang Technological University (2017–2019) and the University of Oslo (2020–2023). His research focuses on multilingualism in globalized contexts, exploring family language policies, sociolinguistic ideologies, and the intersection of language with race, policy, and identity. Notable projects include studies on Afghan refugee families in Norway, Malay families in Singapore, and transnational families in Italy/China and India/Iran. Teaching includes undergraduate and graduate courses in sociolinguistics, multilingualism, and language policy within the Minorities & Multilingualism program. He supervises BA/MA theses on topics like language maintenance, education, and policy implementation. Publications span peer-reviewed journals (e.g., International Journal of Bilingualism , Language Policy ) and edited volumes, addressing themes such as demographic agency in family language policy, raciolinguistics in refugee contexts, and transnational language practices. His work integrates ethnographic methods with sociological theory to analyze multilingualism at micro- and macro-scales. Current research emphasizes phenomenological approaches to race and language in refugee families, as well as the role of demographic factors in family language decision-making. He advocates for interdisciplinary frameworks to understand language policies' real-world impacts in diverse settings.

Prabhanjan AnanthView profile

Assistant Professor

• Cryptography
• Theoretical Computer Science
• Post-Quantum Cryptography
• +3 more

Prabhanjan Ananth is an Assistant Professor in the Department of Computer Science at the University of California, Santa Barbara (UCSB), holding the Glen and Susanne Culler Endowed Chair in Computer Science. He earned his Ph.D. from UCLA in 2017, followed by a postdoctoral fellowship at MIT's CSAIL. His research focuses on cryptography, particularly in classical and post-quantum cryptography, with emphasis on unclonable primitives, pseudorandomness, and cryptographic protocols. Education: Ph.D. in Computer Science from UCLA (2013–2017), postdoctoral research at MIT (2017–2019). Research Interests: His work spans theoretical computer science and cryptography, including post-quantum security, quantum-resistant systems, and unclonable cryptographic primitives. He explores topics like pseudorandomness in quantum models, revocable encryption, and cryptographic protocols for multi-user environments. Recent Publications: His 2025 work advances revocable encryption and pseudorandom unitaries in quantum models. He also contributes to unclonable secret sharing and modular cryptographic design. His research often bridges theoretical foundations with practical applications in quantum-safe systems. Awards: Glen and Susanne Culler Endowed Chair in Computer Science (UCSB). Advising: Current Ph.D. advisees include Aditya Gulati, Yao-Ting Lin, and Divyanshu Bhardwaj. Past students have secured roles at institutions like JPMorgan Chase and EPFL. Teaching: Teaches courses on automata theory (CS 138) and cryptography (CS 178), emphasizing rigorous mathematical proofs and foundational concepts.

Ian AbelView profile

Researcher

• Fusion Energy
• Plasma Physics
• Magnetic Confinement Systems
• +3 more

Dr. Ian Abel is an Associate Research Scientist at the Institute for Research in Electronics & Applied Physics (IREAP) at the University of Maryland, where he has been since 2018. His expertise spans fusion energy, plasma physics, and computational modeling. Abel holds a B.A. in Mathematics (2006) and M.S. in Applied Mathematics (2007) from the University of Cambridge, followed by a Ph.D. in Theoretical Physics from the University of Oxford (2012). His research focuses on magnetically confined fusion systems, particularly edge dynamics in tokamaks and innovative centrifugal mirror concepts. He has contributed to the development of gyrokinetic simulation tools like the GX code and the MaNTA transport model. Abel’s work also explores machine learning applications in plasma turbulence analysis and centrifugal mirror fusion reactor design for space propulsion. His research leverages advanced numerical methods, including GPU-native algorithms and adjoint-based optimization techniques for plasma equilibria. Key projects include the Centrifugal Mirror Fusion Experiment (CMFX), where he investigates plasma confinement and transport phenomena. His publications emphasize interdisciplinary approaches, integrating computational fluid dynamics, statistical physics, and high-performance computing to address challenges in fusion energy and plasma dynamics. While no specific awards are listed, his contributions to gyrokinetic turbulence modeling and centrifugal confinement systems are central to current fusion research.