جست‌وجوی استاد و پژوهشگر

John DeNeroمشاهده پروفایل

استاد آموزشی

• Artificial Intelligence (AI)
• Computer Science Education
• Data Science
• +۳ مورد دیگر

John DeNero is the Giancarlo Teaching Fellow and Associate Teaching Professor in UC Berkeley's Electrical Engineering and Computer Sciences (EECS) department. He joined UC Berkeley in 2014 to focus on undergraduate education in computer science and data science. He teaches and co-develops introductory courses like CS 61A (Computer Science) and Data 8 (Data Science), which serve thousands of students annually. His research spans natural language processing and education innovation, with notable contributions to textbooks like Composing Programs and Computational and Inferential Thinking . Education: Ph.D. in Electrical Engineering and Computer Science, UC Berkeley (2010) M.A. in Philosophy, Stanford University (2002) B.S. in Mathematical & Computational Science and Symbolic Systems, Stanford University (2001) Research interests focus on advancing AI education and curriculum design. His work emphasizes scalability, equity, and student success in large courses. Notable contributions include the Pac-Man projects for AI education and the Berkeley Data Science Education Program. Recent trends in publications highlight AI-assisted education tools, machine translation improvements, and large-scale student feedback systems. Awards include the UC Berkeley Distinguished Teaching Award (2018) and multiple accolades for teaching excellence. Advising and grants: While currently not taking new students, his team supports massive course infrastructures. Labs include the Berkeley Artificial Intelligence Research (BAIR) Lab and contributions to Data Science undergraduate studies.

Roya Ensafiمشاهده پروفایل

دانشیار

• Networking
• Security
• Privacy
• +۴ مورد دیگر

Roya Ensafi is the Morris Wellman Associate Professor in the Department of Computer Science & Engineering at the University of Michigan. She is the Founder and Director of the Censored Planet Lab, which focuses on Internet censorship measurement and digital equity. Her research lies at the intersection of networking, security, and privacy, with a strong emphasis on detecting censorship, surveillance, and digital inequity through scalable systems. Positions: Associate Professor (University of Michigan), Lab Director (Censored Planet) Recent Awards: Sloan Research Fellowship, NSF CAREER (2023), IRTF Applied Networking Research Prize (2016, 2022, 2023), USENIX Security Internet Defense Prize (2022) Her work develops systems like Censored Planet for global censorship monitoring, VPNalyzer for evaluating commercial VPN security, and Splintering Net for studying regionalized Internet access. By combining remote measurement techniques with user studies, her research addresses both technical and policy dimensions of digital freedom. Key methodologies include TLS handshake analysis, cross-layer latency metrics, and large-scale network probing. The Censored Planet project operates a global censorship detection network covering 221 countries, while VPNalyzer received the Consumer Reports Digital Lab fellowship. Collaborations include Google Jigsaw for data visualization systems used by over 100 organizations. Her 2024 work on digital discrimination in sanctioned states extends earlier groundbreaking research on Kazakhstan's HTTPS interception (2019) and Russia's Twitter throttling (2021). Scientific Awards: 2024: Distinguished Paper Awards at USENIX Security Symposium 2023: NSF CAREER Award 2022: IRTF Applied Networking Research Prize, USENIX Security Internet Defense Prize, First Prize in Internet Defense Prize, CSAW '22 Applied Research Competition First Place 2021: Recognized as Highest Scoring Short Paper at ACM IMC 2015: IRTF Applied Networking Research Prize 2022: Finalist for ACUM Outstanding Advisor Award Her lab trains both current and alumni PhD/Master's students including Ram Sundara Raman, Diwen Xue, Reethika Ramesh (now at Palo Alto Networks), and Victor Ongkowijaya (PhD at Princeton). She teaches EECS 388 Introduction to Security at the University of Michigan, covering software and network security principles. Her work has been featured in The Economist, New York Times, and BBC for analyzing global censorship trends.

Elodie Loubaresseمشاهده پروفایل

دانشیار

• Innovation Management
• Organizational Theory
• Cluster Analysis
• +۳ مورد دیگر

Elodie Loubaresse is an Associate Professor of Management at Paris-Saclay University since 2009. She holds a PhD in Management from Paris 2 University (supervised by Pr. Isabelle Huault) and is a former student of Ecole Normale Supérieure of Cachan. Her research focuses on innovation-organization relationships in clusters, sectors, and educational contexts, with a strong emphasis on pedagogical innovation and distance learning. She currently leads the L3 Management program and the M1 Strategic Management program in distance learning. Her academic work spans organizational dynamics, cluster networks, and spatial mobility strategies. She has organized international conferences (e.g., AIMS 2022) and served as guest co-editor for special issues on coopetition in ecosystems (FCS 2023) and spatial mobilities (RFG 2012). She is a member of the AIMS scientific committee and contributes to journal peer reviews (Management & Avenir, Revue Française de Gestion). Her teaching portfolio includes courses on strategic management, research methodology, and entrepreneurship across undergraduate and graduate levels. She leads pedagogical innovation initiatives through her role in AUNEGe (French university network for distance education) and has developed resources on management fundamentals for digital education platforms.

Manisha Kulkarniمشاهده پروفایل

استاد

• Vector-borne Diseases
• Climate Change and Health
• Epidemiology
• +۱۴ مورد دیگر

Dr. Manisha Kulkarni is a Professor at the School of Epidemiology and Public Health, University of Ottawa, where she holds the University Research Chair in Climate Change and Emerging Diseases. She is also the Director of the INSIGHT (Interdisciplinary Spatial Informatics for Global Health) research lab and serves as Scientific Director of the Canadian Lyme Disease Research Network (TickNet Canada). Her work spans global public health, with a focus on vector-borne and zoonotic diseases. PhD in Medical Entomology, McGill University (2006) BSc in Environmental Biology, McGill University (2001) Dr. Kulkarni's research centers on the socio-ecological determinants of infectious disease emergence, particularly malaria, Lyme disease, and West Nile virus. She applies population surveys, entomological field sampling, molecular diagnostics, and GIS to study spatio-temporal patterns and the impacts of climate change and landscape transformation on disease transmission. Her work emphasizes One Health approaches and capacity building in low-resource settings. Her recent research trends show a strong focus on geospatial modeling of vector-borne diseases, climate change adaptation, urban tick surveillance, and international collaborations in Tanzania, Benin, and Latin America. She leads interdisciplinary projects integrating drone mapping, citizen science (e.g., eTick.ca), and community participation to identify disease risk factors. Scientific awards and recognitions include: University Research Chair in Climate Change and Emerging Diseases Ontario Early Researcher Award Faculty of Medicine Award for Leadership in Global Health (2023) Researcher of the Year, Faculty of Medicine (2019) Member, College of New Scholars, Royal Society of Canada NSERC Discovery Grant and CIHR funding Dr. Kulkarni has successfully advised multiple PhD and Master’s students and leads major funded projects supported by CIHR, PHAC, CFI, IDRC, and NSERC. She has held leadership roles as Associate Dean of Global Health (2021–2024) and currently serves on the CIHR Institute of Infection and Immunity advisory board. Her lab, INSIGHT, fosters an interdisciplinary training environment combining field, lab, and analytical methods for global health research. Key research teams and collaborations include: INSIGHT Lab, University of Ottawa Pan-African Malaria Vector Research Consortium (PAMVERC) Canadian Lyme Disease Research Network (TickNet Canada) London School of Hygiene & Tropical Medicine (LSHTM) National Microbiology Lab, PHAC Centre de Recherche Entomologique de Cotonou (CREC), Benin

• Materials Science
• Computational Materials Science
• Battery Technology
• +۶ مورد دیگر

R. Edwin García is a Professor at the School of Materials Engineering at Purdue University, where he has been faculty since 2005. He holds appointments in the Materials Engineering department within Purdue's College of Engineering, specifically in the School of Materials Engineering located in the Neil Armstrong Hall of Engineering at Purdue's West Lafayette campus. His educational background includes: B.S. in Physics from the National University of Mexico (1996) M.S. in Materials Science and Engineering from Massachusetts Institute of Technology (2000) Ph.D. in Materials Science and Engineering with a minor in Applied Mathematics from Massachusetts Institute of Technology (2003) Professor García's research focuses on the design of materials and devices through the development of a fundamental understanding of the solid state physics of individual phases, their short and long range interactions, and associated microstructural properties and time evolution. His current research emphasizes establishing relationships between material properties and resultant performance and degradation in electrochemical systems. He integrates computational approaches ranging from kinetic Monte Carlo, phase field and level set methods, to finite elements, finite volumes, and symbolic computing. His work particularly addresses microstructure design, crystallographic texture, and grain boundary science and engineering to control the topology of underlying phases and establish practical relations between processing, microstructure, and material properties. His recent publications demonstrate a strong focus on lithium-ion battery technology, ferroelectric materials, and computational modeling of material behaviors. The research trends show increasing integration of machine learning with traditional computational methods, exploration of novel sintering techniques like flash sintering, and deeper investigation into the fundamental mechanisms of material degradation in energy storage systems. His work spans multiple length scales from atomistic to continuum modeling, reflecting a comprehensive approach to materials design and analysis. Professor García teaches several courses including MSE 230 (Structure and Properties of Materials), MSE 350 (Thermodynamics of Materials), MSE 597G (Modeling and Simulation of Materials), MSE 597I (Introduction to Computational Materials), and MSE 597N (Physical Properties of Crystals). He mentors graduate students in areas related to computational materials science, battery technology, and microstructural evolution. His research group, the Laboratory of Computational Microstructures, focuses on developing home-grown analytical theories and algorithms to resolve relevant time and length scales in materials systems. The group's work has significant implications for portable power sources, including rechargeable batteries and fuel cells, as well as for ferroelectric ceramic applications.

James Tilleyمشاهده پروفایل

استاد

• Public Opinion Analysis
• Electoral Behavior
• Political Identity Groups
• +۷ مورد دیگر

James Tilley is a Professor of Politics at the University of Oxford's Department of Politics and International Relations (DPIR) and a Fellow and Tutor in Politics at Jesus College. His research focuses on public opinion, electoral behavior, and political identity, particularly in the context of Britain and the EU. He explores themes like voter responsibility attribution, class voting dynamics, and the emergence of post-Brexit political identities. Tilley has published influential works such as Blaming Europe (2014) and The New Politics of Class (2017), examining issues ranging from working-class political exclusion to the role of social cleavages. His media contributions include BBC Radio 4 documentaries on topics like political polarization and generational political attitudes. Teaching responsibilities include Political Sociology (PPE/HP) and Prelims Politics tutorials. His research spans over three decades, addressing evolving political identities, the impact of echo chambers on polarization, and the intersection of personality traits with political engagement. Tilley collaborates widely, with co-authors such as Sara Hobolt and Geoff Evans, and his work often intersects with contemporary issues like Brexit's societal effects and Northern Irish electoral behavior. Recent publications (2023–2025) analyze regional EU spending impacts, narcissism's role in polarization, and neighborhood effects on political divisions. His work bridges academic rigor with public engagement, contributing to debates on democracy, identity, and governance.

V.M. Balasubramaniamمشاهده پروفایل

استاد

• Food Engineering
• Nonthermal Food Processing
• High Pressure Processing
• +۴ مورد دیگر

Dr. V.M. (Bala) Balasubramaniam is a Professor in the Department of Food Science and Technology at The Ohio State University. He holds editorial roles in food engineering journals and is a Fellow of IFT and IUFoST. His research focuses on clean food manufacturing technologies, particularly high-pressure and nonthermal methods, emphasizing microbial inactivation and nutrient preservation. He teaches unit operations in food engineering and contributes to industry via short courses and pilot plant demonstrations. Education: B.S. (Tamil Nadu Agricultural University), M.S. (Asian Institute of Technology), Ph.D. (Ohio State University). Research Interests: Thermal/nonthermal processing, food safety/quality modeling, and innovative applications of high-pressure technologies. Recent work includes ultra-shear technology development and superheated steam sanitation. Over 100 scientific papers, 20 book chapters, and co-edited books on high-pressure processing. Awards include the 2021 IFT Research & Development Award and 2017 Calvert L. Willey Award. Advising: Supervises graduate students like Liz Astorga Oquendo and Shruthy Seshadrinathan. Industrial outreach includes a USDA consortium for ultra-shear commercialization. Labs/teams focus on pilot-scale equipment testing and microbial efficacy studies.

Khin Than Winمشاهده پروفایل

استاد

• Health Informatics
• Digital Health
• Persuasive Technology
• +۷ مورد دیگر

Professor Khin Than Win is a leading academic in health informatics and digital health at the University of Wollongong (UOW), holding appointments as Professor in the School of Computing and Information Technology, Head of Postgraduate Studies, and Deputy Head (Research). She also serves as Academic Program Director for UOW's Master of Health Informatics and Graduate Certificate in Health Analytics programs. Her research focuses on applying information technology to healthcare, particularly in behavior change support systems, persuasive technology, and ethical AI applications. She has supervised over 20 PhD students and holds leadership roles including Deputy Chair of UOW's Health and Medical Research Ethics Committee, and membership in international committees like the Persuasive Technology Steering Committee. Education: MBBS from Rangoon University, Master's and PhD in IT from Assumption University (Bangkok) and UOW (Australia) Research Interests: Health data analytics, AI in healthcare, privacy/security of health systems Leadership: Program/General Chair roles at ACIS and Persuasive Technology conferences Awards: Best Paper Awards (2023, 2018) Her extensive funding portfolio includes ARC grants and NHMRC projects, totaling over 24 funded initiatives. Current research explores blockchain in medical passports, AI ethics, and culturally tailored health interventions.

Motahhare Eslamiمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Social Computing
• Responsible Computing
• +۷ مورد دیگر

Motahhare Eslami is an Assistant Professor at Carnegie Mellon University’s School of Computer Science, Human-Computer Interaction Institute. Her research bridges human-computer interaction, social computing, and AI ethics. Education : PhD in Computer Science from University of Illinois at Urbana-Champaign, advised by Karrie Karahalios Research Focus : Dr. Eslami investigates algorithmic opacity and user behavior in socio-technical systems, developing frameworks to enhance transparency and stakeholder participation in AI governance. Her work addresses: Algorithmic bias mitigation through participatory audits Ethical implications of generative AI and smart assistants Inclusion of marginalized communities in AI design Transparency mechanisms for opaque algorithms Civic technology and public sector AI Recent Article Trends : Her publications analyze algorithmic harms through lenses of: Medical imaging and data generation Labor market equity and low-wage employment Youth perspectives on AI ethics Content creator experiences with demonetization Explainability in black-box AI systems Scientific Recognition : Best Paper at AAAI HCOMP (2025) Google Academic Research Award (2024) Microsoft AI & Society Fellowship (2024) 100 Brilliant Women in AI Ethics (2023) Teaching Innovation Award at CMU (2023) Advising & Collaborations : Mentors PhD students Shixian Xie, Wesley Deng, Seyun Kim, and former post-doc Jaemarie Solyst. Collaborates with NSF AI Institute for Collaborative Assistance (2022–2027), Amazon, Google, and Microsoft on responsible AI initiatives.

Madalina Busuiocمشاهده پروفایل

استاد

• Public Governance
• Artificial Intelligence in Governance
• Algorithmic Decision-Making
• +۷ مورد دیگر

Prof. Dr. Madalina Busuioc is a Full Professor of Public Governance at the Department of Political Science and Public Administration, Vrije Universiteit Amsterdam. She serves as Director of the Graduate School of Social Sciences and co-Director of the R&I Lab on Artificial Intelligence and Digital Governance. Her ERC-funded research explores public accountability in the AI era, with a focus on algorithmic governance and cognitive biases in administrative decision-making. She holds a PhD cum laude from Utrecht University (2010). Her research interests center on public power dynamics, algorithmic governance, and institutional accountability. Notable contributions include work on AI's impact on citizen-state interactions, reputational authority in bureaucracy, and regulatory oversight mechanisms. Her book European Agencies: Law and Practices of Accountability (Oxford UP) and peer-reviewed articles in Public Administration Review , Journal of Public Administration Research and Theory , and Governance highlight her scholarly impact. Teaching contributions include designing the MSc Public Administration: Artificial Intelligence and Governance program, which integrates technical and governance perspectives. Awards include the Haldane Prize (2016) and Fernand Braudel Fellowship (2021). She advises on AI policy through ancillary roles like membership in the Meijers Commission on international law. Her research projects address AI ethics, algorithmic accountability, and regulatory innovation. Recent work explores behavioral dimensions of human-AI collaboration in public services and the societal implications of AI adoption in administrative systems.

Craig Carterمشاهده پروفایل

استاد

• Sustainable Supply Chain Management
• Ethical Issues in Buyer-Supplier Relationships
• Environmental Supply Chain Management
• +۳ مورد دیگر

Craig Carter is the John G. and Barbara A. Bebbling Professor of Supply Chain Management at Arizona State University’s Department of Supply Chain Management. He holds the Harold E. Fearon Fellow of Purchasing Management title. His research focuses on sustainable supply chain management, ethical buyer-supplier relationships, environmental supply chain practices, and diversity sourcing. He has advised on over 100 Fortune 1000 firms globally and served as an editor for multiple journals, including the Journal of Supply Chain Management and Decision Sciences Journal. Education: Ph.D. in Business from Arizona State University (1996), B.S. in Business from the University of Maryland (1990). His industry experience includes roles at Ryder Systems and the U.S. Department of Transportation. Research emphasizes unintended consequences of sustainability initiatives, behavioral decision-making in supply chains, and supply chain leakage of greenhouse gas emissions. His work bridges theoretical frameworks (e.g., configurational approaches) with practical applications, such as mitigating supply risk and enhancing collaboration. Recent publications explore topics like honesty contagion in negotiations and informal exchanges impacting sourcing collaboration. He has been recognized for editorial contributions and has been actively involved in shaping supply chain management’s academic trajectory through thought leadership. Courses taught include Strategic Procurement, Global Supply Operations, and seminars on supply chain theory. His work often integrates empirical research with real-world case studies, emphasizing actionable insights for practitioners.

Auzeen Shariatiمشاهده پروفایل

دانشیار

• Environmental Criminology
• Crime Prevention
• Victimization Studies
• +۶ مورد دیگر

Dr. Auzeen Shariati is an Associate Professor and Director of Undergraduate Programs in the Department of Criminology, Law and Society at George Mason University. She holds a Ph.D. in Public Affairs and Criminal Justice from Florida International University (2017), an M.A. in Criminal Law and Criminology from Allameh Tabataba’I University (2010), and a B.A. in Judicial Law from the University of Tehran (2006). Prior to academia, she practiced as a defense attorney at the Iranian Bar Association. Her research focuses on environmental criminology, crime prevention, victimization, policing strategies, and comparative criminal justice systems. Key areas include pandemic impacts on domestic violence, school safety through Crime Prevention Through Environmental Design (CPTED), and policy evaluation in criminal justice. She has published extensively in journals like American Journal of Criminal Justice , Journal of Family Violence , and Security Journal . Recent work examines how the Covid-19 pandemic and social upheavals like the murder of George Floyd influenced domestic violence reporting and victim experiences. Her studies combine quantitative and qualitative methods, emphasizing real-world policy implications. Dr. Shariati teaches courses such as Introduction to Criminology , Law and Justice Around the World , and Evaluation of Crime and Justice Policies . She actively presents at conferences like the American Society of Criminology and has contributed to public discourse on campus safety and criminal justice reform through media engagements.

Zach Y. Brownمشاهده پروفایل

استادیار

• Industrial Organization
• Health Economics
• Applied Microeconomics
• +۳ مورد دیگر

Zach Y. Brown is an Assistant Professor of Economics at the University of Michigan’s Department of Economics within the College of Literature, Science, and the Arts (LSA), and a Faculty Research Fellow at the National Bureau of Economic Research (NBER). He holds a tenure-track position and focuses on Industrial Organization and Health Economics, with an emphasis on information frictions and healthcare market dynamics. Education: Ph.D. in Economics from Columbia University (2017), B.A. in Economics and Physics (minor) from University of California - Berkeley (2007). His research interests include algorithmic pricing strategies, healthcare policy, and the economic implications of market structures. For instance, he explores how pricing algorithms affect competition in digital markets and investigates disparities in healthcare access and outcomes, particularly in Medicare. His work frequently bridges theoretical models with empirical analysis to inform policy debates. Recent studies highlight his contributions to understanding the effects of hospital payment caps on pricing, the role of broadband access in healthcare, and racial disparities in medication for opioid use disorder. His 2023 paper on algorithmic pricing won the American Economic Journal’s Best Paper Award in Microeconomics, underscoring his impact on digital market research. Teaching includes courses like Government Regulation of Industry (undergraduate) and Industrial Organization II (Ph.D. level), reflecting his expertise in applied economics and policy analysis. Prior to his academic role, he served as a Staff Economist at the Council of Economic Advisers, bringing practical policy experience to his academic work. Brown is affiliated with the NBER, contributing to their research initiatives. His current projects include examining market power in index funds and insurer competition in Medicaid markets, further expanding his interdisciplinary approach to economic challenges.

Lucas Pahlمشاهده پروفایل

مدرس

• Mathematical Game Theory
• Fixed Point Theory
• Algebraic Topology
• +۳ مورد دیگر

Dr. Lucas Pahl is a Lecturer in Economics at the University of Sheffield, School of Economics since 2024. His research specializes in mathematical game theory, particularly in equilibrium refinements, fixed point theory, and real algebraic geometry. He holds a PhD in Economics from the University of Rochester, an MSc in Mathematics from IMPA (Brazil), and a BSc in Social Sciences from the University of São Paulo. Previous positions: Postdoctoral Scholar at Hausdorff Institute for Mathematics and Institute for Microeconomics, University of Bonn His research interests include advanced topics like fixed point theory applications in game theory, algebraic topology intersections with economic models, and equilibrium refinement methodologies. Recent work explores information spillover in zero-sum games and polytope-form game structures. Key publications focus on O’Neill’s theorem extensions, sustainable equilibria analysis, and finite characterizations of perfect equilibria. He serves as a reviewer for top journals including Econometrica and Games and Economic Behavior. No scientific awards explicitly mentioned. His advisory and grant activities remain unspecified in current records. Labs/teams: No lab affiliations explicitly stated in provided information.

Padhraic Smythمشاهده پروفایل

استاد

• Machine Learning
• Artificial Intelligence
• Pattern Recognition
• +۳ مورد دیگر

Padhraic Smyth is a Distinguished Professor and Hasso Plattner Endowed Chair in Artificial Intelligence at the University of California, Irvine (UCI), holding joint appointments in the Department of Computer Science and Department of Statistics. He leads the DataLab research group, focusing on machine learning, AI, and their applications in climate science, healthcare, and education. His research spans probabilistic modeling, deep learning, and human-AI collaboration. Education: PhD in Electrical Engineering from the California Institute of Technology (1988), MSEE (1985), and BEng (1984). Prior to UCI, he worked at NASA's Jet Propulsion Laboratory (1988–1996). Research Interests: Machine learning, AI, pattern recognition, Bayesian methods, climate science applications, algorithmic fairness, and human-AI interaction. He has published over 200 papers and co-authored textbooks like Modeling the Internet and the Web . Awards: ACM Fellow, IEEE Fellow, AAAI Fellow, AAAS Fellow, and ACM SIGKDD Innovation Award recipient. He has held leadership roles in UCI's Center for Machine Learning and Data Science. Key Projects: Human-AI collaboration frameworks, robustness in deep learning, climate modeling using spatio-temporal data, and AI fairness with missing attributes. Collaborates with institutions like NASA and industry partners (e.g., Google, eBay). Labs/Teams: Director of UCI’s Data Science Initiative and HPI Research Center in Machine Learning. Supervises a vibrant PhD program with over 30 alumni in academia and industry.