جستجوی استاد راهنمای دانشگاهی

Daniel Huttenlocherمشاهده پروفایل

استاد

• Artificial Intelligence + Machine Learning
• AI and Society
• Graphics and Vision
• +۳ مورد دیگر

Daniel Huttenlocher is the Dean of the MIT Stephen A. Schwarzman College of Computing and holds the Henry Ellis Warren (1894) Professorship in Computer Science and Artificial Intelligence + Decision-making (AI+D). He leads the interdisciplinary College of Computing while maintaining academic ties to the Electrical Engineering & Computer Science Department. His research focuses on AI ethics, societal impact of technology, machine learning applications, and vision systems. Key research areas include AI governance frameworks, adaptive public health strategies, and large-scale computer vision algorithms. He has pioneered work on decentralized collaboration systems, social media dynamics, and generative AI's societal implications. Huttenlocher’s recent publications address challenges in epidemic testing optimization and the evolving role of AI in knowledge ecosystems like Wikipedia. His leadership roles include steering MIT’s computing initiatives and fostering industry partnerships, such as the MIT Generative AI Impact Consortium. Despite no explicitly listed awards, his contributions to AI ethics and technical systems reflect significant academic influence. Advising and grant activities remain unspecified in available records. His work bridges technical innovation with societal challenges, emphasizing the ethical deployment of AI across healthcare, education, and digital economies.

Catriona McMillanمشاهده پروفایل

مدرس ارشد

• Medical Law
• Medical Ethics
• Human Reproduction
• +۱۲ مورد دیگر

Dr. Catriona McMillan is a Senior Lecturer in Medical Law and Ethics at the University of Edinburgh School of Law , where she joined in 2018. She is also Deputy Director of the JK Mason Institute for Medicine, Life Sciences and the Law and previously served as Convenor of the Law Society of Scotland’s Health and Medical Law Sub-Committee (2021-2023). Education : LLB (Hons) from University of Glasgow LLM from London School of Economics and Political Science PhD in Medical Law and Ethics from University of Edinburgh Her research focuses on the legal and ethical regulation of human reproduction , with key interests in: Femtech (period-tracking apps and digital contraception), Contraception, Assisted reproduction, Embryo research, and Termination of pregnancy. She advocates for updated frameworks addressing technological advancements and privacy in reproductive healthcare. Analysis of her 15 most recent publications reveals expertise in digital health regulation, reproductive rights, and the intersection of law with emerging biotechnologies. Themes include Femtech compliance, data protection post-Roe v Wade, and global health research governance. Scientific awards include the Maclagan Prize Scholarship (2015). She currently leads a British Academy-funded project on Femtech regulation and contributes to Wellcome Trust initiatives. Dr. McMillan actively engages in academic talks, serves on editorial boards, and collaborates internationally to refine health research governance. Her work emphasizes holistic regulatory approaches and feminist perspectives in bioethics.

• Game Theory
• Evolutionary Game Theory
• Learning in Economics
• +۵ مورد دیگر

Erik Mohlin is an Associate Senior Lecturer in the Department of Economics at Lund University. His research focuses on game theory, particularly evolutionary game theory, learning, and bounded rationality, with applications to cooperation, institutions, categorization, and social norms. He contributes to UN Sustainable Development Goals through his work. Research Projects: Models of Conceptualisation and Categorisation in Social and Economic Interactions (2018-2025) The Role of Internal Motivation and External Sanctions in Supporting Prosocial Behaviour (2020-2024) Supervision: Co-supervised PhD student Pol Campos in the project Incentives in Education and Moral Behavior in Groups . Activities: Hosted researchers such as Renaud Foucard and organized the Learning Evolution Games (LEG) conference in 2018. Active in peer reviews and academic collaborations across multiple countries.

Mark Wheelerمشاهده پروفایل

استاد

• Cognitive Neuroscience
• Memory
• Perception
• +۴ مورد دیگر

Mark Wheeler is a Professor of Psychology at the Georgia Institute of Technology, affiliated with the School of Psychology. His research focuses on neural and cognitive mechanisms underlying perception, memory, decision-making, and aging. He investigates how sensory information is integrated into decisions and how these processes change with age, employing fMRI, computational modeling, and behavioral experiments. His work is supported by grants from the Alzheimer’s Association, National Institute of Mental Health, and National Science Foundation. Education: Ph.D. in Psychology (Brain, Behavior, and Cognition) from Washington University (2002). Research Interests: Memory formation and retrieval, perceptual decision-making, sleep’s role in cognition, and age-related cognitive decline. His lab explores neural signatures of decision-making stages and how sleep quality influences executive function and task preparation across adulthood. Recent studies highlight interactions between sleep continuity and cognitive performance in aging populations. Publications reflect a focus on neural correlates of decision-making, memory precision, and sleep’s impact on cognitive functions. Notable work includes studies on inferior temporal cortex activity during perceptual decisions and the mediating role of sleep in physical activity and cognition. Funding: Active grants from Alzheimer’s Association, NIMH, and NSF. Collaborates with institutions like the National Science Foundation on projects examining aging and decision-making. Labs/Teams: Leads the Wheeler Lab (http://wheelerlab.gatech.edu), dedicated to understanding neural and cognitive mechanisms of memory and decision-making. Office located in JS Coon Building, Room 234.

• Bayesian statistics
• Hierarchical modeling
• Image analysis for super-resolution microscopy
• +۴ مورد دیگر

Dr. Miguel Juarez is a Lecturer in Statistics at the University of Sheffield's School of Mathematical and Physical Sciences. He holds a PhD in Mathematical Sciences from Universidad de Valencia (2004), an MSc in Economics from CIDE (Mexico), and a BSc in Actuarial Sciences from ITAM (Mexico). His research focuses on Bayesian hierarchical modeling for panel/longitudinal data with applications in biology, medicine, and econometrics. Key projects include the STriTuVaD initiative for integrating computer simulations with clinical trials and developing models for super-resolution microscopy image analysis. He has contributed to advancing in silico trial methodologies through the UISS-TB simulator and works on objective Bayesian methods for non-Gaussian data. Professional activities include teaching MAS2010 Statistical Inference and Modelling. His recent work emphasizes accelerating tuberculosis vaccine development via augmented clinical trials and establishing credibility frameworks for in silico trials. He collaborates with interdisciplinary teams in systems biology and biomedical informatics. Research outputs span Bayesian statistical theory, computational epidemiology, and medical technology innovation. Notable collaborations include the Warwick Systems Biology Centre and EU-funded H2020 projects.

Tara Mandalaywalaمشاهده پروفایل

استادیار

• Developmental Psychology
• Social Cognition
• Social Essentialism
• +۳ مورد دیگر

Tara Mandalaywala is Assistant Professor and Director of the Cognition Across Development Lab at Boston University's Department of Psychological & Brain Sciences. She received her PhD from the University of Chicago and conducted postdoctoral research at New York University. Previously, she was Assistant Professor at University of Massachusetts Amherst (2018-2024). Research examines developmental psychology with focus areas including social essentialism, status perception, automatic social categorization, and cross-cultural differences in reasoning. Her work investigates how children and adults perceive social groups, economic mobility, and status markers. Publications primarily focus on social cognition development from childhood through adulthood, exploring how cognitive biases emerge across cultures. Recent work examines wealth perception, fairness development, and teacher bias in educational settings.

Adele Lichtenberger Igelمشاهده پروفایل

استاد

• Cloud Physics
• Aerosol-Cloud Interactions
• Atmospheric Modeling
• +۵ مورد دیگر

Adele Lichtenberger Igel is a Professor in the Department of Land, Air, and Water Resources at the University of California, Davis. She leads the Cloud Physics Group, focusing on cloud processes, aerosol-cloud interactions, and microphysics parameterization in atmospheric models. Her research integrates modeling, observations, and theory to understand cloud properties, precipitation formation, and climate feedbacks. Affiliations: Cloud Physics Group, UC Davis; Atmospheric Science Graduate Group. Teaching: Courses include ATM5 (Global Climate Change), ATM128 (Radiation and Satellite Meteorology), and ATM244 (Cloud and Precipitation Physics). Research interests span aerosol effects on cloud dynamics, bulk microphysics scheme development, Arctic mixed-phase clouds, and convective systems. Notable contributions include advancing unified liquid water category bulk schemes and investigating ice habit impacts on precipitation. Her work addresses model uncertainties through comparisons of bin and bulk schemes, and she leads field projects analyzing fog, marine aerosols, and orographic snowfall. Recent publications highlight aerosol-cloud interactions in stratocumulus systems, Arctic cloud sustenance via free-tropospheric aerosols, and limitations of traditional microphysics categorizations. Awards include runner-up recognition for opinion work on convective invigoration and student mentorship accolades. Key collaborations involve DOE ASR-funded projects on convective invigoration and Arctic cloud processes. Her group actively trains graduate students (e.g., Nathan Pope, Lucas Sterzinger) and undergraduates (e.g., Abbey Williams) in cloud physics and computational modeling, with outputs including over 50 peer-reviewed articles and modeling tools like the AMP scheme.

Fangji Liuمشاهده پروفایل

مدرس

• Mathematics
• Pure Mathematics
• Applied Mathematics
• +۳ مورد دیگر

Fangji Liu is affiliated with the Department of Mathematics at the University of Pennsylvania, part of the School of Arts and Sciences. Contact information includes email fjliu@sas.upenn.edu and office location 3W1 DRL. Their role is listed under the department's academic personnel, though specific academic rank details are inferred based on departmental categorizations. Research interests are not explicitly detailed in the provided text but are assumed to align with broader mathematical disciplines given their departmental affiliation, potentially including areas such as algebra, analysis, geometry, and applied mathematics. No publications, grants, or awards are listed in the available information. Their professional profile emphasizes institutional affiliation and contact details without further elaboration on research output or academic contributions.

Kylie Gorneyمشاهده پروفایل

استادیار

• Test Security
• Item Response Theory
• Computerized Adaptive Testing
• +۳ مورد دیگر

Kylie Gorney is an Assistant Professor of Measurement and Quantitative Methods in the Department of Counseling, Educational Psychology and Special Education at Michigan State University (MSU). She holds a Ph.D. in Educational Psychology (Quantitative Methods) from the University of Wisconsin-Madison and served as the 2022–23 Harold Gulliksen Psychometric Research Fellow at Educational Testing Service. Her research focuses on test security, item response theory, and computerized adaptive testing (CAT), with publications in leading journals such as British Journal of Mathematical and Statistical Psychology and Psychometrika . Dr. Gorney’s work addresses challenges in maintaining testing integrity, including detecting cheating through methods like answer similarity analysis and response time analysis. She has developed an R package called aberrance for automated detection of aberrant test-taker behavior. Her contributions span both theoretical advancements in psychometrics and practical applications in secure testing environments. Her recent publications (2022–2025) emphasize innovations in CAT algorithms, person-fit statistics, and the integration of response-time data into security frameworks. These studies highlight advancements in detecting item compromise, preknowledge, and test speededness while improving subscore interpretation for polytomous items. Dr. Gorney is affiliated with MSU’s College of Education and maintains an active research agenda bridging statistical theory with real-world testing scenarios. She is accessible via email at kgorney@msu.edu .

Emily Conroy-Krutzمشاهده پروفایل

دانشیار

• 19th Century History
• Religious Studies
• Women's and Gender Studies
• +۳ مورد دیگر

Emily Conroy-Krutz is an Associate Professor in the Department of History at Michigan State University (MSU), part of the College of Social Science. She specializes in the global history of 19th-century America, focusing on American empire, religion, and reform. Her work bridges domestic and international dimensions, particularly examining how religion and missionary activities intersected with U.S. foreign relations. Her research has produced influential works like Christian Imperialism: Converting the World in the Early American Republic (Cornell, 2015) and the forthcoming Missionary Diplomacy: Religion and Nineteenth-Century American Foreign Relations . She co-edited The Early Imperial Republic: From the American Revolution to the U.S.-Mexican War (2023), which redefines understanding of early U.S. territorial and ideological expansion. At MSU, she teaches courses on American foreign relations, women’s history, revolutionary America, and legal history. She actively mentors undergraduate History Scholars and serves as the undergraduate honors advisor. Her scholarship emphasizes transnational perspectives, highlighting how American empire-building influenced global religious and political landscapes. Her recent publications explore themes such as Native nations' resilience against imperial encroachment, the role of humanitarianism in U.S. diplomacy, and the intersections of race, religion, and gender in 19th-century contexts. She collaborates widely, contributing to interdisciplinary debates on early American imperialism and transimperial history.

Floor Velthuisمشاهده پروفایل

پژوهشگر

• Medical Education
• Organizational Change
• Curriculum Development
• +۳ مورد دیگر

Dr. Floor Velthuis is a Study Advisor for the Graduate School of Medical Sciences (GSMS) master programs at the University of Groningen, affiliated with the Faculty of Medical Sciences. She also works at SCOPE, the University Medical Center Groningen (UMCG)'s center of expertise for personal and professional development education. Her work emphasizes experiential learning, focusing on topics like professional identity development, values, and work-life balance. Velthuis holds a PhD in educational and organizational change, with research centered on complexities in undergraduate medical curriculum change processes. Research Interests : Her research explores organizational change dynamics, particularly in medical education, addressing challenges faced by change leaders in curricular reforms. Key topics include governance, situational awareness, and institutional contexts affecting international curriculum development projects. She employs qualitative methods, such as Membership Categorization Analysis and rich picture techniques, to study leadership and stakeholder interactions. Education & Teaching : Velthuis develops and delivers educational programs at SCOPE, emphasizing experiential and interactive learning strategies. These programs address themes like professional identity formation, values, and socialization in medical education. Grants & Activities : She actively participates in academic conferences (e.g., AMEE, LEARN symposiums) and collaborates internationally on curriculum change initiatives. Her work contributes to the United Nations' Sustainable Development Goals, particularly in advancing quality education (SDG 4). Labs/Teams : Affiliated with SCOPE and the Education Institute at UMCG, she collaborates with interdisciplinary teams to advance medical education and organizational change research.

Donald E. K. Martinمشاهده پروفایل

دانشیار

• Statistical Theory
• Applied Statistics
• Time Series Analysis
• +۴ مورد دیگر

Donald E. K. Martin is an Associate Professor of Statistics at North Carolina State University (NCSU), affiliated with the College of Sciences. He holds a Ph.D. in Mathematical Statistics from the University of Maryland (1990). His research focuses on statistical theory, time series analysis, and pattern distribution in sequences. He has received awards including the 2018 College of Sciences Faculty Diversity Professional Development Award and the 2021-2022 Dennis Boos Citizenship Award. Dr. Martin has extensive professional experience, including roles as Co-Director of Graduate Programs (2015-2017) and active participation in departmental committees. He has supervised numerous PhD students and contributed to initiatives like ADJOINT, promoting diversity in mathematics. His teaching spans courses in statistical theory and applications, such as ST370, ST380, and advanced topics in time series (ST782/783). His research emphasizes computational statistics and probabilistic methods, with recent work on sparse Markov models and scan statistics. Key contributions include methodologies for pattern recognition in sequences and efficient algorithms for statistical inference. Grants include NSF funding for categorical time series analysis (2018-2023) and prior projects on pattern distributions (2011-2014). He is an active reviewer for journals and conferences, and a member of the American Statistical Association's JEDI outreach group.

Edwin Beggsمشاهده پروفایل

استاد

• Algebra
• Differential Geometry
• Noncommutative Geometry
• +۴ مورد دیگر

Dr Edwin Beggs is a Reader in Mathematics within the School of Mathematics and Computer Science at Swansea University, located at the Computational Foundry on Bay Campus. His research spans Algebra, Differential Geometry, Noncommutative Geometry, Theoretical Physics, and the computability of physical systems. He co-authored the influential 2020 Springer book Quantum Riemannian Geometry , contributing to the Grundlehren series. His work bridges mathematical formalism with physical applications, focusing on quantum structures, geometric frameworks, and computational models interfacing with physical systems. Research interests include noncommutative differential operators, quantum geodesic flows, and the interplay between algebraic topology and physics. Notable contributions address quantum gravity models, soliton dynamics, and the theoretical limits of measurement and computation in physical systems. He is actively involved in postgraduate supervision and has explored computational paradigms using physical oracles, such as the Wheatstone bridge and kinematic systems, to redefine computational boundaries. His interdisciplinary approach is reflected in publications spanning quantum geometry, analogue-digital computation models, and the mathematical foundations of measurement theory. Collaborations with Shahn Majid highlight his role in advancing noncommutative geometry's applications to modern physics.

Daniel Kowalمشاهده پروفایل

دانشیار

• Bayesian Statistics
• Environmental Health and Policy
• Public Health
• +۹ مورد دیگر

Daniel Kowal is an Associate Professor in the Department of Statistics and Data Science at Cornell University, effective July 2024. Previously, he served as the Dobelman Chair Assistant Professor at Rice University. His research focuses on Bayesian methodology for complex dependent data, including functional, time series, and spatial datasets, with applications in environmental health, epidemiology, finance, and astronomy. He develops scalable algorithms for high-dimensional data and interpretable uncertainty quantification. His work has been recognized with the Blackwell-Rosenbluth Award (2021) and ARO Young Investigator Award (2020). Education: Ph.D. in Statistics (Cornell University), M.S. in Statistics (Cornell University), B.A. in Mathematics (Washington University in St. Louis). Research interests include Bayesian models for prediction/inference, decision theory, discrete data analysis, and scalable approximations. Key areas of application: environmental health policy, wearable devices, economics, biomedical engineering, and astronomy. Recent grants include NSF-funded projects on adaptive dependent data models and Army Research Office initiatives on Bayesian approximations. He has supervised multiple Ph.D. students, including Yunan Gao, Thomas Sun, and Brian King. His software contributions include R packages like countSTAR, SeBR, and lmabc for Bayesian regression and data synthesis. Awards include Lindley Prize Honorable Mention (2024), Arnold Zellner Thesis Award (2018), and numerous student paper awards from ASA sections.

Ashraf Kunnummalمشاهده پروفایل

پژوهشگر ارشد

• Islamic Studies
• Constitutional Law
• Islamophobia
• +۳ مورد دیگر

Ashraf Kunnummal is an Honorary Fellow at the School of Law, University of Warwick. His work focuses on intersections of Islamic studies, constitutional law, and contemporary political dynamics in South Asia. He engages critically with themes such as Islamophobia, liberation theology, and the role of religion in secular nation-states. His research explores post-secular Islamic theology, the politics of religious identity in India, and the global dynamics of Islamophobia. Notable themes include analyses of Hindutva extractivism, constitutional frameworks in Muslim-majority contexts, and the biopolitical dimensions of citizenship. Publications span topics like Halal cinema discourse in Kerala, the decolonial turn in liberation theology, and the transnational consumption of Malala Yousafzai narratives. His scholarship bridges academic disciplines while addressing urgent socio-religious issues. Teaching responsibilities include advancing student learning through seminars and tutorials in law and social sciences. No specific grants or awards are listed in the provided information.