Find Academic Supervisors

David A. GalloView profile

Professor

• Cognitive Neuroscience
• Memory Accuracy and Distortion
• Aging and Alzheimer’s Disease
• +3 more

David A. Gallo is a Professor at the University of Chicago, affiliated with the Department of Psychology. He joined the faculty in 2005 after completing a B.A. at Wesleyan University (1997), a Ph.D. at Washington University in St. Louis (2002), and an NIH-sponsored postdoctoral fellowship at Harvard University. His research focuses on neurocognitive processes of human memory, particularly memory accuracy, distortion, aging effects, and Alzheimer’s disease. He explores how memory is actively reconstructed and influenced by contextual and pharmacological factors. Key research interests include metacognitive and nonconscious processes, cognitive neuroscience, and evolutionary psychology. He investigates how stereotypes, psychoactive drugs, and contextual cues affect memory accuracy and monitoring. His lab, the Memory Research Lab, employs neuroimaging, behavioral experiments, and pharmacological interventions to study these phenomena. His recent articles highlight studies on transcranial direct current stimulation (tDCS), contextual reinstatement effects, and drug-induced memory modulation. He emphasizes the role of distinctiveness in reducing memory errors and examines the neural mechanisms underlying retrieval monitoring. His work spans developmental, clinical, and applied domains, with implications for aging populations and cognitive health. Gallo teaches courses such as Cognitive Neuroscience of Aging and Evolutionary Psychology, integrating empirical research with theoretical frameworks. His contributions bridge basic science and clinical applications, addressing challenges in memory disorders and cognitive enhancement strategies.

• Computer Networks
• Network Reliability
• Wireless Mesh Network
• +3 more

Dr. Sie Teng Soh is an Associate Professor at Curtin University's School of Electrical Engineering, Computing and Mathematical Sciences. With qualifications including a PhD from Louisiana State University, he specializes in computer networks, wireless systems, and algorithm design. Research focuses on: Network topology optimization for UAV systems Energy-efficient IoT task scheduling Reliable wireless communication protocols Game-theoretic network management Green computing in software-defined networks Publication trends show advancing work in UAV network optimization, with recent articles addressing max-min rate optimization, energy harvesting in IIoT, and machine learning approaches for coverage prediction. His research consistently addresses practical challenges in wireless network deployment under real-world constraints. Teaching areas include advanced courses in network reliability and traffic engineering. Professional service includes editorial roles for IEEE Transactions on Parallel and Distributed Systems and program committee memberships for major conferences including FAST and EuroSys.

Semin ParkView profile

Assistant Professor

• Organizational Behavior
• Social Network Analysis
• Team Dynamics
• +3 more

Semin Park is an Assistant Professor in the Management and Organization department at the Smeal College of Business, Pennsylvania State University. Her research focuses on relational dynamics within and between teams, employing a social network perspective to analyze longitudinal changes in work collectives across diverse contexts such as emergency response systems and organizational teams. Education: PhD in Management, University of Connecticut (2019) MSc in Management, Seoul National University (2013) BBA in Business Administration, Seoul National University (2011) Research Interests: Dr. Park investigates team dynamics using network analysis to explore conflict resolution, leadership transitions, and collective behavior. She emphasizes structural elements of multi-team systems, emergency response configurations, and the application of big data methods for organizational insights. Her work bridges theoretical frameworks with practical solutions for improving team performance and workplace safety. Publications Trends: Her most recent articles (2020–2024) emphasize network-based approaches to team conflict, leadership transitions in crises, and dynamic constructs in organizational settings. Earlier work (2012–2018) includes foundational studies on team creativity, peer evaluations, and historical evolution of work teams. Affiliations & Resources: She is affiliated with Penn State’s Smeal College and maintains an active Google Scholar profile. No grants or awards are explicitly listed in the provided texts.

• Social Physics
• Graph Convolutional Neural Networks
• Large Language Models (LLMs)
• +4 more

Dr. Alexander Mantzaris is an Associate Professor in the Department of Statistics & Data Science at the University of Central Florida, College of Sciences. His research bridges physics and sociology through Social Physics frameworks, focusing on statistical mechanics and thermodynamic analogies to model social phenomena. Current research explores criticality points in social systems Developing computational tools for NLP and big data Former work on Graph Convolutional Networks in social analysis Specializes in entropy-based modeling of polarization and segregation His publications emphasize interdisciplinary approaches combining network science, computational modeling, and sociological dynamics. Recent articles address thermodynamic formulations of political cycles, energy states in Schelling models, and memory-efficient data processing algorithms. Dr. Mantzaris teaches graduate courses in big data analytics and statistical learning theory. He maintains active research in computational social science with applications to political dynamics, media influence, and complex systems analysis.

Brian GreenspanView profile

Associate Professor

• Digital Humanities
• Utopian Studies
• New Narrative Media
• +4 more

Brian Greenspan is an Associate Professor in the Department of English Language and Literature at Carleton University, within the Faculty of Arts and Social Sciences. His research focuses on digital humanities, utopian studies, and new narrative media, particularly exploring intersections between print narratives and emerging technologies like hypertext, video games, and augmented reality. Greenspan co-developed the StoryTrek locative media system, used for creating spatial storytelling projects that merge urban geography with fictional and historical narratives. He holds a Ph.D. from the University of Toronto and has received multiple grants including SSHRC Partnership Grants (2015-18), a Leverhulme International Research Network Grant (2014-16), and a Teaching Achievement Award (2017). His work emphasizes speculative archives and the ethical implications of digital media in cultural preservation and future imaginaries. Greenspan collaborates extensively with institutions like Carleton’s Hyperlab and has delivered keynote lectures globally, including at the Digital Humanities Summer Institute and the Canadian Game Studies Association. His research integrates interdisciplinary approaches to spatial narratives, wearable media, and critical utopian theory. Current projects involve mapping fictional cityscapes onto real urban environments to explore alternate historical and speculative futures. As a supervisor, Greenspan guides doctoral students in areas like digital games, cultural mediations, and narrative transformation. His grants include collaborations on infrastructure development, animation archives, and the political economy of digital games.

Ronald D. HaynesView profile

Professor

• Numerical Analysis
• Partial Differential Equations
• Optimization Algorithms
• +2 more

Ronald D. Haynes is a Full Professor and Chair of Scientific Computing Graduate Programs in the Department of Mathematics and Statistics at Memorial University of Newfoundland. He leads research in numerical methods for PDEs and industrial-scale optimization problems. His work develops advanced domain decomposition techniques, adaptive mesh methods, and parallel computing approaches for solving complex physical systems. Applications include modeling pitting corrosion of materials, predicting rock strength for drilling optimization, and simulating multiphase fluid flows in porous media. Recent publications demonstrate innovations in mesh adaptation, parallel algorithms, and machine learning applications for industrial problems. Collaborative projects have addressed reservoir simulation, drill bit analysis, and corrosion prediction through integrated computational approaches. Professor Haynes has received the President's Award for Outstanding Research (2018) and Dean of Science Distinguished Teaching Award (2017). He serves as Co-editor-in-chief of the CAIMS Mathematics in Science and Industry Journal and was President-Elect of the Canadian Applied and Industrial Mathematics Society (2023-2025). He maintains active doctoral supervision with current research groups focusing on domain decomposition methods, closest point algorithms, and optimization techniques. Industry partnerships include projects with ExxonMobil and Global Maritime addressing drilling optimization and mooring design challenges.

Denise Ranghetti do PilarView profile

Professor

• User Experience Design
• User Experience Research
• UX Strategy
• +3 more

Denise Ranghetti do Pilar is a Professor of UX Design at Savannah College of Art and Design (SCAD) in Savannah, GA, since 2022. Her academic background includes a Postgraduate Certificate in Applied Positive Psychology and a Ph.D. in Psychology from Pontificia Universidade Catolica do Rio Grande do Sul, and a B.S. in Computer Science from Catholic University of Louvain. Her research focuses on User Experience Design and User Experience Research , with specific interests in UX strategy, design thinking, UX metrics, and user research methodologies. She has taught at multiple institutions including Product Arena, UFRGS, UniRitter, and Feevale. Professionally, she has served as Staff User Experience Researcher at Nubank and User Experience Lead at SAP Labs Latin America. She is affiliated with professional organizations BayCHI and AnthtroDesign.

Catherine MarlerView profile

Professor

• Behavioral Neuroendocrinology
• Animal Behavior
• Social Neuroscience
• +7 more

Catherine Marler is a Professor in the Department of Psychology at the University of Wisconsin-Madison, where she leads the Marler Lab focused on the Biology of Brain and Behavior. Her research program investigates the intricate connections between endocrine systems and social behaviors, with particular emphasis on how hormones like testosterone and oxytocin shape complex social interactions in monogamous mammals. Dr. Marler's research primarily utilizes the California mouse (Peromyscus californicus) as a model organism, capitalizing on its unique monogamous, biparental, and territorial nature. Her work spans both laboratory and field settings, allowing for comprehensive investigation of neuroendocrine mechanisms in naturalistic contexts. Key research themes include the role of testosterone in territorial behavior and winner effects, oxytocin's influence on pair bonding and parental behavior, and the neural substrates of ultrasonic vocalizations. Recent publications reveal a strong focus on conditioned place preferences related to testosterone pulses, oxytocin's effects on social behaviors across different developmental stages, and the neuroendocrine mechanisms underlying aggression and pair bonding. Her work demonstrates how social experience, environmental context, and endocrine systems interact to shape complex behavioral outcomes, with particular attention to sex differences and transgenerational transmission of behaviors. Dr. Marler has published extensively in top journals including Hormones and Behavior, Proceedings of the Royal Society, and Animal Behaviour, with her most recent work appearing in high-impact venues throughout 2023-2025. Her research program represents a sophisticated integration of behavioral observation, endocrine manipulation, and neural analysis to unravel the mechanisms underlying social behavior in mammals. As an advisor, Dr. Marler mentors students in behavioral neuroscience and endocrinology, fostering research that bridges laboratory and field approaches to understand the evolution and mechanisms of social behavior. Her lab maintains a strong commitment to rigorous scientific methodology and innovative experimental design in the study of neuroendocrine-behavior relationships.

• Education Policy
• Economics of Education
• Quantitative Research Methods
• +7 more

Thomas S. Dee is the Barnett Family Professor at Stanford University's Graduate School of Education (GSE), a Research Associate at the National Bureau of Economic Research (NBER), a Senior Fellow at the Stanford Institute for Economic Policy Research (SIEPR), and a Senior Fellow (Joint) at the Hoover Institution. He serves as the Faculty Director of the John W. Gardner Center for Youth and Their Communities and holds multiple administrative appointments including Member of the Executive Committee of Stanford's Public Policy Program. Professor Dee's research focuses on the use of quantitative methods to inform contemporary issues of public policy and practice, with particular emphasis on education policy, economics of education, and program evaluation. His work spans critical areas including pandemic education effects, chronic absenteeism, school choice, educational equity, STEM education, and research methodology. He has made significant contributions to understanding how quantitative analysis can shape effective educational policy and practice. Dee's recent publications reveal a strong focus on pandemic-related educational disruptions, examining issues like chronic absenteeism, enrollment declines, and school reopening preferences. His research demonstrates expertise in quasi-experimental methods and has increasingly addressed questions of educational equity, particularly regarding underrepresented students in STEM fields. His 2025 work on Advanced Placement computer science shows how course design can broaden participation among female and minority students. Outstanding Public Communication of Education Research Award, American Educational Research Association (2024) Peter H. Rossi Award for Contributions to the Theory or Practice of Program Evaluation, Association for Public Policy Analysis and Management (2024) Research-Practice Partnership Award (co-recipient), California Educational Research Association (2023) Community Outcomes and Impact Award, International Association for Research on Service Learning and Community Engagement (2020) Raymond Vernon Memorial Award, Association for Public Policy Analysis and Management (2019) Raymond Vernon Memorial Award, Association for Public Policy Analysis and Management (2015) Professor Dee actively contributes to academic discourse through editorial roles on journals including the American Educational Research Journal and Education Finance and Policy. His teaching portfolio includes advanced courses in quantitative policy analysis and quasi-experimental research design, reflecting his methodological expertise. While specific grant information isn't detailed in the provided text, his extensive publication record and leadership roles suggest significant research funding support. As Faculty Director of the John W. Gardner Center for Youth and Their Communities, Dee leads initiatives connecting Stanford with community organizations to address youth development challenges. His work bridges academic research with practical community applications, emphasizing the importance of research-practice partnerships in creating meaningful educational change.

Benno LiebchenView profile

Professor

• Soft Matter Physics
• Active Matter
• Colloidal Systems
• +3 more

Prof. Benno Liebchen holds a faculty position at the Technische Universität Darmstadt within the Institute for Condensed Matter Physics , part of the Faculty of Physics. He leads the Liebchen Group , dedicated to advancing research in the Theory of Soft Matter , focusing on active matter, colloidal systems, and non-equilibrium phenomena. His work explores collective behavior in self-propelled particles, phase transitions in active fluids, and adaptive strategies in smart materials. Research Interests include: Active matter dynamics and pattern formation Non-equilibrium statistical mechanics Biophysical systems and biomimetic design Computational modeling of soft matter Recent publications highlight breakthroughs in intelligent active particles , self-reverting vortices , and motility-induced phase coexistence . His lab develops tools like the AMEP Python package to analyze active systems. Teaching responsibilities include advanced modules in soft matter physics. Collaborative projects involve interdisciplinary approaches to microswimmer behavior and machine learning-driven optimization of collective systems. Contact: +49 6151 16-24509 / Office: S2|04 104

Christopher CannonView profile

Professor

• Medieval Latin
• Grammar and Grammar School Learning
• Literary History
• +3 more

Christopher Cannon is the Bloomberg Distinguished Professor of English and Classics at the Johns Hopkins University, Krieger School of Arts & Sciences. He specializes in medieval literature, focusing on the emergence of English literature as a distinct category through intellectual, philological, and comparative lenses. His research emphasizes medieval Latin, grammar school learning, and theories of language. Dr. Cannon holds a PhD from Harvard University and has taught at NYU, Cambridge, Oxford, and UCLA before joining Johns Hopkins in 2017. His editorial roles include co-editing Oxford Studies in Medieval Literature and Culture and the Oxford Chaucer edition. He has been recognized with a Guggenheim Fellowship and the William Riley Parker Prize (MLA, 2014). His publications include From Literacy to Literature (2016), Grounds of English Literature (2004), and Making of Chaucer’s English (1998). His work explores Chaucer, Langland, and the Auchinleck Manuscript, emphasizing medieval educational systems and linguistic evolution. Research interests span medieval Latin’s impact on English literature, the interplay between orality and literacy, and the cultural contexts shaping literary history. His contributions to textual studies and historical methodologies have reshaped understandings of medieval literary production and transmission.

Celia ReinaView profile

Associate Professor

• Materials Science
• Computational Mechanics
• Non-equilibrium Thermodynamics
• +3 more

Celia Reina is an Associate Professor in the Department of Mechanical Engineering and Applied Mechanics at the University of Pennsylvania’s School of Engineering and Applied Science (SEAS). Her research focuses on multiscale modeling of materials, bridging statistical mechanics, thermodynamics, and machine learning. She develops novel frameworks for predicting non-equilibrium material behavior using data-driven methods and uncertainty quantification. Her work emphasizes integrating computational tools like neural networks (Stat-PINNs, VONNs) with physical principles to model dissipative systems, phase transitions, and mesoscale dynamics. Key areas include coarse-graining techniques, epistemic uncertainty analysis, and predictive modeling of complex materials under dynamic loading. Recent publications highlight advancements in stochastic systems, resonant metamaterials, and the derivation of thermodynamic models from particle-level fluctuations. She leads efforts in experimental-simulation co-design to enhance predictive capabilities in materials science.

Jonathan WeareView profile

Professor

• Monte Carlo sampling
• Multiscale analysis
• Randomized numerical linear algebra
• +2 more

Jonathan Weare is a Professor of Mathematics at the Courant Institute of Mathematical Sciences, New York University. He holds affiliations with the Faculty of Arts and Science and the Graduate School of Arts and Science. His academic journey includes roles as an Associate Professor at the University of Chicago (2014–2019) and Assistant Professor (2011–2014), following postdoctoral work as a Courant Instructor at NYU. He earned his Ph.D. in Mathematics from UC Berkeley in 2007. His research focuses on stochastic algorithms and models, with applications in astrophysics, biophysics, computational chemistry, and climate science. Key areas include Monte Carlo methods, rare event simulation, and machine learning-driven scientific analysis. Collaborations with domain experts ensure his work addresses real-world challenges in diverse fields. Recent publications emphasize advancements in trajectory stratification, rare event prediction using machine learning, and efficient algorithms for high-dimensional problems. Notable contributions include the BAD-NEUS framework and AI-based solar system instability predictions. His group’s interdisciplinary approach bridges computational methods with scientific inquiry. Weare has advised numerous students and mentored postdocs, fostering talent in applied mathematics and computational science. His work on Mercury’s orbital dynamics and extreme weather prediction showcases the societal impact of his research. Current projects explore AI applications in weather modeling and rare event analysis, leveraging cutting-edge machine learning techniques. Labs/Teams: His research group at Courant develops stochastic algorithms and collaborates with interdisciplinary teams in computational chemistry, climate science, and astrophysics. Key collaborations include the University of Chicago and Columbia University.

Pablo AragónView profile

Adjunct Professor

• Computational Social Science
• Social Computing
• Wikipedia Studies
• +4 more

Pablo Aragón is a Research Scientist at the Wikimedia Foundation and an Adjunct Professor at Universitat Pompeu Fabra. His work bridges computational social science, civic technology, and technopolitics, with a focus on Wikipedia's governance, digital democracy tools, and participatory systems. He co-founded the Democratic Innovation Lab in Barcelona and the DatAnalysis15M research network. Key research interests include analyzing knowledge integrity in Wikipedia, configuring digital participatory budgeting systems, and studying platform effects in civic technologies. He has led projects like DECODE (decentralized citizen engagement) and contributed to platforms like Decidim, which empower participatory democracy in cities like Barcelona. Recent conference engagements include KDD 2024 (data mining), ICWSM 2024 (social media analysis), and Wikimedia CEE Meeting 2024. His work emphasizes cross-cultural collaboration, with studies published in ACM Transactions on Computer-Human Interaction and peer-reviewed conferences like CIKM and ACM SIGKDD. Professional affiliations include the Decidim association, Amnistía Internacional España, and the open knowledge advocacy group Civio. His research often intersects with open science, free culture movements, and gender equity in urban mobility.

Deanna A. IbrahimView profile

Assistant Professor

• Critical Consciousness Development
• Social Justice Education
• Arts Education
• +3 more

Deanna A. Ibrahim is an Assistant Professor of Critical Youth Development in the Department of Health and Human Development at the University of Pittsburgh. Her research focuses on critical consciousness development in youth through arts-based programming and out-of-school contexts. She has collaborated with organizations like the Guggenheim Museum’s Teen Program and Partners for Youth Empowerment to design interventions fostering sociopolitical awareness. Dr. Ibrahim holds a Ph.D. in Applied Psychology from NYU’s Steinhardt School and a BA in Psychology and Theatre from Muhlenberg College. Her interdisciplinary work bridges education, developmental psychology, and creative youth development. Her recent research explores arts-based youth programming’s role in promoting critical consciousness, with studies funded by grants from the Huntington Arts Council and NYSCA. She has authored or co-authored six peer-reviewed publications, focusing on topics like structural inequities, juvenile justice systems, and early childhood interventions. Awards: Statewide Grant for Creative Learning (2023) Chein-Lehmann Dissertation Proposal Award (2023) Felix M. Warburg Memorial Award (2021) Dr. Ibrahim advises EastLine Theatre, developing inclusive youth programming, and serves as a reviewer for journals like American Journal of Community Psychology and Developmental Psychology .