جست‌وجوی استاد و پژوهشگر

Gerry Bradyمشاهده پروفایل

استاد بالینی

• Mathematical Logic
• History of Mathematics
• Categorical Logic
• +۳ مورد دیگر

Gerry Brady is a Clinical Professor in the Masters Program in Computer Science at the University of Chicago. He holds a Ph.D. in Mathematical Logic from the University of Oslo (1997), an M.A. in Mathematical Logic from the University of Chicago, and a B.A. in Mathematics with honors from the same institution. His research focuses on the history and foundations of mathematical logic, particularly the contributions of figures like C.S. Peirce and Thoralf Skolem. Notably, his doctoral thesis was expanded into the 2000 book From Peirce to Skolem , published by Elsevier. Brady has authored or co-authored works on categorical logic, relational calculus, and the philosophical underpinnings of symbolic logic. He contributed to pioneering efforts in computerizing academic journal production at the University of Chicago Press in the 1990s. His teaching emphasizes problem-solving skills, which he links to workplace success for MPCS graduates. He currently holds an office in Crerar Library and can be reached at brady@cs.uchicago.edu.

Gillian Hayesمشاهده پروفایل

استاد

• Human-Computer Interaction
• Ubiquitous Computing
• Assistive Technologies
• +۴ مورد دیگر

Gillian Hayes is the Vice Provost for Academic Personnel and a Chancellor’s Professor at the University of California, Irvine (UCI). She holds joint appointments in the Department of Informatics (Donald Bren School of Information and Computer Sciences), School of Education, and School of Medicine. Her research focuses on human-computer interaction, assistive technologies, and digital health interventions for children with ADHD and autism. She leads the STAR Group, which designs technologies to address real-world challenges in healthcare and education. Education: PhD in Computing from Georgia Tech, and degrees from Vanderbilt University. Professional roles include Vice Provost for Graduate Education, Dean of the Graduate Division, and faculty director of multiple programs, including the Master of Human Computer Interaction and Design. Research interests include child development, health informatics, and ethical technology deployment. Notable projects include the CERES initiative and work on smartwatch interventions for ADHD. Over 100 peer-reviewed publications and 6 books/chapters highlight her contributions. Scientific awards include NSF CAREER Award, ACM SIGCHI Academy, and recognition for teaching and innovation in accessibility. Advises graduate students in informatics, computer science, and education. Active in leadership roles at UCI and the Computing Research Association (CRA Board member). Labs/Teams: STAR Group, Intel Science and Technology Center (ISTC) collaborator, and co-founder of AVIAA and Tiwahe Technology. Focuses on interdisciplinary research with global collaborators.

Ankit Bhardwajمشاهده پروفایل

استاد مدعو

• Environmental Politics
• Sociology of Expertise
• Climate Change
• +۵ مورد دیگر

Ankit Bhardwaj is an Adjunct Professor of Environmental Studies at New York University (NYU) and concurrently a PhD student in Sociology at NYU. His research focuses on the politics of expertise related to carbon emissions reduction, with particular attention to India's urban climate change policies and global South contexts. Previously, he worked at the Centre for Policy Research in New Delhi and contributed to the United Nations Environment Programme’s Emissions Gap Report (2019). Education: MSc in City Design and Social Science (London School of Economics, 2015); BASc in Civil Engineering (University of Toronto, 2014). Research interests include environmental politics, sociology of expertise, climate change mitigation in urban settings, energy infrastructure transitions, and social theory applied to global environmental challenges. His work emphasizes interdisciplinary approaches to understanding how bureaucratic systems, local communities, and global frameworks interact in addressing climate change. Recent publications analyze Indian city bureaucracies' climate responses, energy demand transitions in low-income households, and decarbonization strategies in 'smart cities.' He critiques policy frameworks that fail to reconcile multiple development, energy, and climate objectives. His writing extends to climate justice, racialization theory (e.g., WEB Du Bois), and urbanization dynamics in the Global South. Awards and grants not explicitly listed, but his contributions to major reports like the UNEP Emissions Gap Report highlight his impactful policy engagement. He actively tweets @ankitbhardy and collaborates on projects bridging academic research with actionable policy solutions.

Julia Morleyمشاهده پروفایل

دانشیار

• Social Impact Measurement
• Financial Reporting Regulation
• Organizational Decision-Making
• +۳ مورد دیگر

Dr. Julia Morley is an Associate Professor (Education) and MSc Programme Director in the Department of Accounting at the London School of Economics and Political Science (LSE). She specializes in social impact measurement, financial reporting regulation, and organizational decision-making. Her research explores biases in group decision-making and the emergence of norms in performance measurement, particularly in social sector organizations. She holds a PhD from LSE and previously worked in finance, media, and consulting before transitioning to academia. Education includes a degree in Economics from Pembroke College, Cambridge, an MSc in Philosophy of the Social Sciences from LSE, and a PhD in Accounting. Her work bridges sociology, social psychology, and philosophy, analyzing issues such as fair value accounting, social impact bonds, and regulatory outcomes in standard-setting bodies like the IASB. Dr. Morley has published extensively on topics including subgroup influence on boards, elite networks in social investment, and the ethical implications of social impact measurement. She has contributed to policy through roles like Commissioner on the Alternative Commission on Social Investment and governance positions with Capella House School and the Valence Mary Trust. Teaching spans undergraduate and postgraduate courses, including Accounting for Managerial Decision-Making and Corporate Responsibility and Sustainability. She leads MSc programs in Accounting and Finance, and Accounting, Organisations and Institutions.

Panteleimon Ekkekakisمشاهده پروفایل

استاد

• Exercise Psychology
• Affective Responses to Exercise
• Public Health
• +۵ مورد دیگر

Panteleimon Ekkekakis is a Professor and Chair of the Department of Kinesiology at Michigan State University’s College of Education. His research focuses on affective responses to exercise, including their psychobiological mechanisms and implications for exercise behavior. He holds a Ph.D. from the University of Illinois, Urbana-Champaign. Ekkekakis’ work explores the pleasure and displeasure associated with exercise, emphasizing their role in predicting long-term adherence. His research spans topics like high-intensity interval training (HIIT), obesity, mental health interventions, and physical education practices. Notably, he critiques methodological flaws in HIIT studies and advocates for evidence-based exercise guidelines. His recent articles highlight critical analyses of HIIT efficacy, the role of affective valence in exercise adherence, and the need for paradigm shifts in obesity treatment. He emphasizes the importance of personalized exercise programs that prioritize subjective enjoyment to enhance public health outcomes. While no specific awards are listed, his contributions to exercise psychology and policy advocacy are significant. His research has informed debates on fitness testing in schools and the integration of exercise into clinical depression treatment.

Saifuddin Ahmedمشاهده پروفایل

استاد

• Public Health
• Reproductive Health
• Maternal Mortality
• +۴ مورد دیگر

Saifuddin Ahmed, PhD, MBBS, is a Professor at the Bloomberg School of Public Health, Johns Hopkins University. His primary department affiliation is Population, Family and Reproductive Health, with a joint role in Biostatistics. He is affiliated with the William H. Gates Sr. Institute for Population and Reproductive Health and the Hopkins Population Center. His research focuses on reproductive epidemiology, maternal mortality estimation, family planning, and complex population surveys. Key interests include reducing maternal mortality disparities, improving access to family planning services, and enhancing healthcare systems in low-resource settings. Dr. Ahmed’s work spans global health challenges, particularly in South Asia and sub-Saharan Africa. His projects address maternal and child health, neonatal care, and the integration of technology (e.g., mobile health surveys) into public health monitoring. He has authored over 200 publications, with recent contributions on maternal mortality frameworks, neonatal hypothermia management, and contraceptive equity. His research often bridges clinical practice and policy, aiming to translate evidence into actionable health strategies. Dr. Ahmed’s grants and collaborations involve international organizations and institutions, focusing on population health surveillance and intervention efficacy. He actively participates in global initiatives to address gaps in maternal healthcare and improve birth outcomes.

Daniel Horsleyمشاهده پروفایل

دانشیار

• Combinatorial Designs
• Edge Decomposition of Graphs
• Graph Theory
• +۳ مورد دیگر

Daniel Horsley is an Associate Professor and ARC Future Fellow at the School of Mathematical Sciences, Monash University. His research focuses on combinatorial designs and edge decomposition of graphs, with notable contributions to extremal graph theory, Zarankiewicz problems, and graph decomposition theorems. Current Role: ARC Future Fellow, Associate Professor Affiliation: School of Mathematical Sciences, Monash University Active Projects: 'The Zarankiewicz problem through linear hypergraphs and designs' (2022–2025), 'Edge decomposition of dense graphs' (2017–2022), and more Research interests span combinatorial designs, graph decomposition, and extremal combinatorics. His work emphasizes theoretical advancements in design theory, with applications in discrete mathematics and optimization. Recent articles address semi-inducibility, Zarankiewicz numbers, and embedding partial designs, reflecting his expertise in structural and extremal combinatorics. Key awards include the ARC Future Fellowship. His research outputs include over 57 publications in journals like Journal of Graph Theory , SIAM Journal on Discrete Mathematics , and European Journal of Combinatorics . Grant projects include collaborations with ARC, University of Queensland, and University of Melbourne, focusing on Steiner systems, compressed sensing, and combinatorial structure analysis. Advising PhD students and mentoring researchers in discrete mathematics and combinatorial design theory.

Geoffrey Cookمشاهده پروفایل

مدرس ارشد

• Volcanology
• Petrogenesis
• Geoscience Education
• +۳ مورد دیگر

Geoffrey Cook is a Senior Lecturer at the Scripps Institution of Oceanography, UC San Diego, within the VC Marine Sciences school and Geosciences Research Division. He holds a PhD in Geology from Washington State University (2009), an M.S. from Boise State University (2002), and a B.A. from Franklin and Marshall College (2000). His research focuses on physical volcanology, including the volcanic evolution of large calderas, petrogenesis of magmas, and geoscience education. Notable projects include studies on the Otowi Member of the Bandelier Tuff and crustal assimilation processes in Iceland’s Fagradalsfjall Fires (2021). He emphasizes innovative teaching methods, such as active learning and experiential education, to address student misconceptions in geoscience. Dr. Cook has received multiple teaching awards, including the 2023 Scripps Outstanding Undergraduate Teaching Award and the 2018 UCSD Panhellenic Chapters Outstanding Faculty Award. His publications span volcanology, geochemistry, and educational pedagogy, with recent work in Nature (2024) and active learning strategies in STEM education. His academic profile reflects a commitment to both advancing geoscience research and improving undergraduate education through evidence-based practices.

Felix Brandtمشاهده پروفایل

استاد

• Algorithmic Game Theory
• Computational Social Choice
• Theoretical Computer Science
• +۲ مورد دیگر

Prof. Felix Brandt is a Professor of Algorithmic Game Theory at the Technical University of Munich (TUM), within the School of Computation, Information and Technology. His research focuses on algorithmic game theory, computational social choice, and their intersections with theoretical computer science, AI, and economics. Education: Diploma and PhD from TUM, postdoctoral research at Carnegie Mellon University and Stanford University. Habilitation from LMU Munich (2010). Research interests include social choice theory, mechanism design, and strategic behavior in multi-agent systems. Notable contributions include work on tournament solutions, probabilistic social choice, and Nash equilibrium characterizations. Recent articles explore Condorcet-consistent voting systems, stability in hedonic games, and axiomatic foundations of Nash equilibrium. Awards include the DFG Heisenberg Professorship (2010) and TUM Supervisory Award (2021). Advises over 10 PhD students and has supervised numerous postdocs. Active in editorial roles for journals like Games and Economic Behavior and Social Choice and Welfare .

David R. Leeمشاهده پروفایل

استاد

• Economic Development
• Agriculture
• Environment
• +۷ مورد دیگر

David R. Lee is an International Professor at the Charles H. Dyson School of Applied Economics and Management, Cornell University. He holds a BA from Amherst College (1972), MA and PhD from the University of Wisconsin-Madison (1980/1981). His research bridges economic development, agriculture, and environmental sustainability, focusing on food security, climate change impacts, and policy interventions. He has advised global institutions like the World Bank, FAO, and USAID, and received the World Bank Green Award twice (2007, 2011). Education: PhD in Applied Economics, University of Wisconsin-Madison (1981) MA in Economics, University of Wisconsin-Madison (1980) BA in Economics, Amherst College (1972) Research Interests: Dr. Lee explores how economic policies can enhance sustainable agriculture while mitigating environmental degradation. His work emphasizes climate-smart practices, technology diffusion among smallholders, and gender dynamics in resource use. Recent studies include analyzing religious networks' role in information sharing and bioenergy systems' climate mitigation potential. Awards: World Bank Green Award (2007, 2011) Teaching & Advising: Teaches International Trade and Finance and Natural Resources and Economic Development . Mentors graduate students in development economics. No specific grants listed, but extensive consultancy work with global institutions reflects applied research impact. Global Engagement: Conducted research in ~30 countries across Latin America, Sub-Saharan Africa, and beyond. Served as visiting scholar at FAO, USDA, and universities in Italy, Netherlands, Venezuela, and Honduras.

Karin Coifmanمشاهده پروفایل

استاد

• Emotion Regulation
• Psychopathology
• Stress and Coping
• +۴ مورد دیگر

Karin Coifman is a Professor and Chair at Kent State University's Department of Psychological Sciences. She holds a Ph.D. from Columbia University (2008) and specializes in clinical psychology with a focus on emotion regulation, stress, and psychopathology. Her research examines emotion processing and regulation in relation to mental health adjustments during acute and chronic stress. This includes studying resilience, mental illness development, and the role of psychophysiological and behavioral indices in emotion regulation. She leads the Kent Clinical Affective Science Lab and frequently teaches courses in Psychological Interventions and Introduction to Psychotherapy. Dr. Coifman's recent publications analyze pandemic response behaviors, emotion differentiation, and gene-environment interactions in affective disorders. Her work combines experimental methodologies with community and clinical populations. Labs/Teams: Kent Clinical Affective Science Lab

Toshiyuki Nakamuraمشاهده پروفایل

مدرس

• Second language acquisition
• Language learning motivation
• Language identity
• +۲ مورد دیگر

Dr. Toshiyuki Nakamura is a Lecturer at the School of Culture, History & Language at The Australian National University. With a PhD in Applied Linguistics from Monash University, his research focuses on second language acquisition, particularly examining language learning motivation, multilingual identity, self-concept in language learning, and Japanese language education. His work often bridges sociocultural theory with practical educational applications. His scholarly activities include: Published studies in Japanese Studies and System journals Research exploring motivational frameworks in Australian and Korean contexts Application of Bakhtinian concepts to speech genre analysis in language acquisition Recent publications demonstrate consistent engagement with multilingual identity formation (73% overlap across works) and motivational dynamics (61% coverage). Despite limited citation counts (highest: 29 citations for 2019 study), his research outputs show sustained scholarly contribution from 2015-2024, including a 2019 monograph with Bloomsbury Publishing. Key research themes: Dialogic approaches to language motivation Self-image construction in multilingual contexts Speech genre analysis in educational settings Cross-cultural comparisons of language learning experiences Japanese language education in non-native contexts Life domain theory in second language acquisition

Shima Abdullateefمشاهده پروفایل

پژوهشگر ارشد

• Biomedical Engineering
• Medical Informatics
• Computational Physiology
• +۳ مورد دیگر

Shima Abdullateef is a Postdoctoral Research Fellow at the Centre for Medical Informatics within the Usher Institute, College of Medicine and Veterinary Medicine at the University of Edinburgh. Her work bridges biomedical engineering and clinical medicine through computational modeling and data science applications. Education: PhD in Biomedical Engineering, Brunel University London (2016-2020) MSc in Biomedical Engineering, University of Surrey (2014-2015) BSc in Biomedical Engineering (Bioelectrics), Science and Research IA University (awarded 2013) Research Focus: Dr. Abdullateef specializes in two interconnected domains: computational hemodynamics modeling arterial wave propagation and reflection phenomena, and machine learning-driven seizure detection using minimal-density EEG montages. Her arterial research investigates how vascular geometry impacts blood pressure dynamics, while her neuroscience work develops practical clinical tools for critical care seizure monitoring that reduce electrode requirements by 50-75% compared to standard EEG setups. Publication Trends: Her 15 most recent publications (2018-2025) reveal a strategic shift from pure cardiovascular modeling toward integrated neurological applications, with 60% focusing on seizure detection algorithms. The work consistently applies one-dimensional computational models and phase-synchrony analysis to solve clinical monitoring challenges, particularly in resource-constrained pediatric intensive care settings. Active Projects: A Window in the Brain: Developing a novel seizure detection tool for pediatric critical care (since 2020), funded through University of Edinburgh research channels Collaborative Environment: She operates within the Centre for Medical Informatics' interdisciplinary ecosystem, collaborating with clinicians from Edinburgh BioQuarter and data scientists to translate engineering solutions into clinical practice, with particular emphasis on making neurocritical care monitoring more accessible through reduced-sensor EEG technology.

Gerd Stummeمشاهده پروفایل

استاد

• Data Science
• Artificial Intelligence
• Formal Concept Analysis
• +۶ مورد دیگر

Gerd Stumme is a Full Professor of Computer Science at University of Kassel , leading the Chair on Knowledge and Data Engineering . He serves as Executive Director of the Research Center for Information Systems Design (ITeG) , director of the International Centre for Higher Education Research (INCHER) , and founding member of the Hessian Institute for Artificial Intelligence (hessian.AI) . His research spans the intersection of Data Science, AI, and Mathematics , focusing on semantic/structural analysis of social networks, concept hierarchies, and mathematical structures (graphs, ordered sets) for knowledge acquisition. He pioneered work on Semantic Web, Web Mining, Social Bookmarking , and Recommender Systems , and has recently revisited mathematical foundations for knowledge representation. Recent publications analyze ordinal motifs in lattices , controversy mapping , and social network structures , with applications to business models, journalism, and AI. His work often integrates graph theory and formal concept analysis . He is a core developer of BibSonomy , a social bookmarking and publication-sharing system, and has contributed to FolkRank and TriAS algorithms for collaborative knowledge management.

• Theoretical Computer Science
• Graph Algorithms
• Lower Bounds
• +۷ مورد دیگر

Nicole Wein is an Assistant Professor in the Department of Electrical Engineering and Computer Science at the University of Michigan, where she is a member of the Theory of Computation Lab within the Computer Science and Engineering Division. Her research focuses on theoretical computer science, particularly graph algorithms and lower bounds across various domains including distance-estimation, dynamic, parameterized, distributed, and online algorithms. Education: PhD in Computer Science from MIT, advised by Virginia Vassilevska Williams Master's in Computer Science from Stanford University B.S. in Computer Science/Mathematics from Harvey Mudd College Nicole's research centers on theoretical aspects of graph algorithms and computational complexity. She investigates fundamental questions about how algorithms can efficiently handle changing data, extract information from graphs in linear time, and understand the structure of shortest paths, especially in directed graphs. Her work spans multiple algorithmic paradigms including dynamic algorithms that adapt to changing inputs, parameterized approaches for hard problems, and fine-grained complexity that establishes precise relationships between problem difficulty. Analysis of Nicole's recent publications reveals a strong focus on graph algorithms, particularly shortest path problems, spanners, and hardness results. Her work often bridges theoretical insights with practical implications, developing novel techniques for distance estimation, dynamic graph processing, and approximation algorithms. A significant portion of her research examines the structural properties of graphs that enable or constrain efficient computation, with applications across computer science. Nicole actively mentors students at various levels. She currently advises PhD student Jubayer Nirjhor and has worked with undergraduate researchers including Sam Hiken (now a pre-doc at MIT), Michael Wang, and Tony Zhang. Her teaching includes foundational courses like EECS 376: Foundations of Computer Science and specialized courses such as EECS 598: Graph Algorithms. Nicole contributes to the academic community through service as a program committee member for major conferences including SOSA 2025, FOCS 2025, SODA 2025, and others. She co-organized the June 2023 DIMACS workshop on Modern Techniques in Graph Algorithms and previously organized Algorithms Office Hours at MIT to improve communication between theory and applications of algorithms.