Project Financing Professors and Supervisors | ApplySharif

Find Academic Supervisors

Find and connect with academic supervisors, professors, and scholars for your research journey.

Showing 691-705 of 17,871 supervisors

Profile data may be stale. It is sourced from public faculty pages.

Feng ChenView profile

Associate Professor

University of Texas at DallasUnited States

Feng Chen is an Associate Professor in the Department of Computer Science at The University of Texas at Dallas (UT Dallas), part of the Erik Jonsson School of Engineering & Computer Science. He directs the AI Safety Laboratory and holds tenure. His research focuses on AI safety, ethical machine learning, uncertainty quantification, and fair algorithms. He earned a Ph.D. from Virginia Tech (2012), M.S. from Beijing University of Aeronautics & Astronautics (2004), and B.S. from Hunan University (2001). His research spans AI safety frameworks, resilient AI systems, fairness in healthcare and finance, cybersecurity, and environmental AI applications. Key contributions include uncertainty-aware deep learning, causal representation learning, and adversarial vulnerability analysis. He has authored over 150 peer-reviewed publications, including top venues like NeurIPS, ICML, KDD, and ICDM. Grants: $4.2M+ in funding from NSF, Army Research Office, IARPA, and industry partners. Teaching: Courses in data mining, anomaly detection, and artificial intelligence since 2014. Notable achievements include an NSF CAREER Award (2018) and leadership in projects like EMBERS (social media event prediction). His work bridges theory and practice, addressing societal challenges through ethical AI principles. Labs/Teams: AI Safety Laboratory (UT Dallas), collaborative projects with Virginia Tech, Carnegie Mellon, and industry partners on software vulnerability analysis and causal AI. Awards: Multiple best paper nominations, including 2nd Place in NAE Security Category (2009) and UT Dallas Outstanding Research (2021-2022).

Official University Profile

Xiaodong YuView profile

Assistant Professor

Stevens Institute of TechnologyUnited States

Xiaodong Yu is an Assistant Professor in the Department of Computer Science at Stevens Institute of Technology (since 2023), leading the Advanced Parallel and distributEd Computing and Systems (APECS) lab. Previously, he served as an Assistant Computer Scientist at Argonne National Laboratory (2019–2023) and a Scientist-at-Large at the University of Chicago’s Consortium for Advanced Science and Engineering (2022–2023). He holds a Ph.D. in Computer Science from Virginia Tech (2019). His research focuses on parallel/distributed computing systems, next-generation AI hardware, high-performance MLSys for large language models (LLMs), and federated learning communication/privacy. Over 50 peer-reviewed publications appear in top-tier venues like HPDC, ICS, and SC. He leads NSF and DOE-funded projects, including an NSF CRII award (2024–2026) and Argonne LDRD initiatives. Technical leadership roles include serving on conference committees (ICS, SC, IPDPS) and review boards (IEEE TPDS). Key contributions include compressor frameworks for AI accelerators (e.g., DCT-based), MPI collective communication optimizations, and GPU-based ptychographic reconstruction. His work bridges hardware-software co-design for HPC and AI systems. Current advising includes five Ph.D. students at Stevens and prior mentorship of over 10 researchers at Argonne. Professional activities include institutional service (Stevens CS faculty search committee) and roles as finance chair (ISPASS), technical program committee member (DRBSD, IWBDR), and reviewer for journals like Future Generation Computer Systems.

Official University Profile

Gang ChenView profile

Associate Professor

University at Albany SUNYUnited States

Gang Chen is an Associate Professor in the Department of Public Administration & Policy at the University at Albany's Rockefeller College of Public Affairs and Policy. He co-founded and co-directs the State and Local Government Finance Project (SLGF) at the Center for Policy Research. His research specializes in public budgeting, financial management, and fiscal policy, with emphases on pension systems, disaster resilience, and governmental transparency. Education: PhD, Public Administration, University of Nebraska at Omaha MA, Public Administration, Sun Yat-sen University, China BA, Public Administration, Sun Yat-sen University, China Research Focus: Dr. Chen investigates fiscal risks in public pensions, disaster response financing, transparency reforms, and local government financial practices. His work integrates empirical analysis with policy applications to address systemic challenges in public sector finance. Grants and Leadership: He has secured funding from the Governmental Accounting Standards Board, Society of Actuaries, Pew Charitable Trusts, and others, leading projects on pension governance and fiscal resilience. Teaching: Courses include Public Budgeting, Applied Statistics, Public Financial Management, and Advanced Quantitative Analysis. He also contributes to international capacity-building as an instructor for Zimbabwe's Parliamentary Strengthening Program.

Official University Profile

Mark GlickView profile

Professor

University of UtahUnited States

Mark Glick is a Professor of Economics and Adjunct Professor of Law at the University of Utah . His academic and legal expertise spans competition policy, antitrust, and the intersection of economics and law. Education : B.A. and M.A. from UCLA; Ph.D. in Economics (1985) from the New School for Social Research; J.D. (1990) from Columbia Law School. Leadership : Co-director of the Utah Project, focusing on education and scholarship in competition policy. His research interests include applied economics, antitrust, commercial law, econometrics, and development studies , with a particular focus on the limitations of consumer welfare in antitrust and the role of economic theory in legal frameworks. His recent publications analyze the legal and economic fallacies in merger guidelines, the history of competition policy, and the impact of Big Tech acquisitions on market dynamics. Mark’s work often critiques the Chicago School’s influence on antitrust law, emphasizing the need for empirically grounded structural approaches to address market power. He has extensively studied potential competition doctrine, particularly in tech mergers, and challenges the theoretical foundations of welfare economics in legal contexts.

Official University Profile

Zhijie XiaoView profile

Professor

Boston CollegeUnited States

Zhijie Xiao is a Professor of Economics at Boston College, affiliated with the Morrissey College of Arts and Sciences. His expertise lies in econometrics and empirical finance, with a focus on quantile regression, financial markets analysis, and statistical inference. Xiao holds a Ph.D. from Yale University, along with multiple advanced degrees from Yale and the University of China. B.Sc., University of China M.Sc., University of China M.A., Yale University M.Ph., Yale University Ph.D., Yale University Xiao's research emphasizes methodological advancements in econometrics, particularly in quantile autoregression and tail risk modeling. His work bridges theoretical econometrics with practical applications in finance, addressing issues like market volatility and asset pricing dynamics. Key contributions include improving kernel estimation efficiency in nonparametric models and developing inference frameworks for quantile regression processes. Selected publications highlight his engagement with financial market tail risks and structural econometric modeling. Though no awards or grants are explicitly listed, his extensive publication record underscores sustained academic impact. Xiao teaches econometrics and contributes to the department’s research initiatives through collaborative projects.

Official University Profile

Danielle LiView profile

Professor

Massachusetts Institute of TechnologyUnited States

Danielle Li is the David Sarnoff Professor of Management of Technology and a Professor at the MIT Sloan School of Management, specializing in the Technological Innovation, Entrepreneurship, and Strategic Management academic group. She is also a Faculty Research Fellow at the National Bureau of Economic Research (NBER). Her academic journey includes an AB in mathematics and the history of science from Harvard College and a PhD in economics from MIT. Prior to joining MIT, she taught at Harvard Business School and the Kellogg School of Management. AB in Mathematics and History of Science, Harvard College PhD in Economics, MIT Professor Li's research focuses on the economics of innovation and labor economics, with particular emphasis on how organizations evaluate ideas, projects, and people. She investigates the intersection of technology and workplace dynamics, especially how AI impacts worker productivity, the nature of work, and career trajectories in AI-intensive environments. Her work examines how businesses implement AI tools and the resulting effects on workforce composition and skill requirements. Her publication portfolio reveals a consistent focus on innovation economics, labor market dynamics, and the organizational implications of technology. Recent work increasingly centers on AI's workplace impact, with her 2025 Quarterly Journal of Economics paper 'Generative AI at Work' demonstrating how AI assistance increases worker productivity by 15% on average, with differential effects across experience levels. Her research combines rigorous economic analysis with practical business implications, spanning pharmaceutical innovation, hiring practices, promotion decisions, and gender gaps in the workplace. Best Paper Prize: 2017 FIRCG Conference Best Paper Prize: 2018 CEPR Management, Organizations, and Entrepreneurship Conference Best Paper Prize: 2017 Red Rock Conference Best Paper Prize: 2018 LBS Summer Finance Symposium Best Paper Prize: 2019 American Economic Journal: Applied Economics Professor Li's research has been supported by significant grants and has influenced both academic discourse and business practice. Her work on AI in the workplace has informed executive education programs at MIT Sloan, including 'Making AI Work: Machine Intelligence for Business and Society' and 'Artificial Intelligence' courses. She actively engages with media and business leaders to translate research findings into practical insights, frequently appearing in the New York Times, Wall Street Journal, and Economist. Her research on gender promotion gaps and hiring practices has particular relevance for organizational human resource policies. Professor Li is deeply embedded in MIT's AI research ecosystem, collaborating with colleagues across Sloan and CSAIL. She contributes to MIT's AI Expert Spotlight series, focusing on how businesses should implement AI responsibly and effectively. Her work bridges economic theory with practical business applications, particularly in understanding how AI transforms work processes and organizational structures.

Official University Profile

Carole BrownerView profile

Research Professor

University of California, Los AngelesUnited States

Carole Browner is a Research Professor in the UCLA Department of Anthropology, Department of Gender Studies, and the David Geffen School of Medicine's Center for Social Medicine. She previously served as Chair of Anthropology (2010–2013). Her work focuses on gender, reproduction, health, and the social impact of biomedical advancements like genetic testing. Her research spans Colombia, Mexico, and the U.S., addressing topics like abortion access, prenatal care medicalization, and neurogenetic diagnoses. Education: B.A. Social Sciences (New School, 1969); M.A. & Ph.D. Anthropology (UC Berkeley, 1974/1976); M.P.H. Health Administration (UC Berkeley, 1977). Key research interests include: reproductive politics, Latin American health systems, genetic medicine ethics, and healthcare equity. She has conducted long-term fieldwork with Mexican indigenous communities and advised on U.S.-Mexico border health policies. Her recent work explores Mexico’s healthcare reforms under AMLO and the legacy of Lázaro Cárdenas’ policies. She co-authored Neurogenetic Diagnoses (2011) and edited Reproduction, Globalization, and the State (2012), which won a prize for best edited volume in medical anthropology. Awards : Society for Medical Anthropology’s MASA Mentoring Award (2009), Russell Sage Foundation Fellowship (1998–99), and leadership roles in professional organizations. Grants : Funded by NIH, NSF, CDC, and private foundations for projects on genetic testing, reproductive health disparities, and cross-border health equity. Current research includes collaborative work on Mexican health policy reforms and ethnographic studies of rural Mexican healthcare access.

Official University Profile

Jonathan RoddenView profile

Professor

Stanford UniversityUnited States

Jonathan Rodden is a Professor of Political Science at Stanford University and a Senior Fellow at the Hoover Institution and Stanford Institute for Economic Policy Research. His research focuses on the comparative political economy of institutions, particularly federalism and fiscal decentralization, with significant contributions to understanding the urban-rural political divide and its implications for representation and policy. PhD from Yale University BA from the University of Michigan Fulbright student at University of Leipzig His research spans several domains: Comparative Federalism: Analyzed fiscal decentralization mechanisms, budgetary transfers, and institutional design in federations globally. Political Geography: Developed computational methods for redistricting analysis and demonstrated how geographic voter distribution creates inherent electoral biases. Policy Uncertainty: Co-authored foundational work linking economic uncertainty to political polarization and fiscal cycles. Public Health: Conducted epidemiological studies on firearm-related mortality and suicide patterns in California. Scientific awards include: Gregory Luebbert Prize for best book in comparative politics (2007) Michael Wallerstein Award for best paper in political economy (2015) He has advised PhD students like Jowei Chen and directed policy projects with international institutions including the World Bank, IMF, and OECD. His work on redistricting simulations has been cited in U.S. Supreme Court amicus briefs and congressional testimony.

Official University Profile

Andrew M. IbrahimView profile

Associate Professor

University of Michigan-Ann ArborUnited States

Andrew M. Ibrahim, MD, MSc, is an Associate Professor of Architecture and Surgery at the University of Michigan, holding dual appointments in the Taubman College of Architecture and Urban Planning and the Department of Surgery. He serves as Chief Medical Officer at HOK, a global design firm, and as an editorial board member for the Annals of Surgery and JAMA Network. His work bridges healthcare, policy, and architectural design, focusing on 'Health in All Design' principles applied across aviation, sports, and civic sectors. He completed medical training at Case Western Reserve University with additional policy fellowships at Princeton and Johns Hopkins. His research examines healthcare system impacts, surgical outcomes, and architectural design's clinical effects. Education: Case Western Reserve University (MD, Honors), University College London (architecture coursework), University of Michigan (MSc via Robert Wood Johnson Clinical Scholars Program) Policy Training: Crile Fellow (Princeton), Doris Duke Fellow (Johns Hopkins) Research interests emphasize healthcare policy evaluation, surgical quality improvement, and the interplay between hospital design and clinical outcomes. Over 50 peer-reviewed articles address topics like private equity hospital acquisitions, rural healthcare access, and trauma center utilization. His work has been highlighted in Fast Company and U-M news features. Notable projects include a >$2 billion academic health center master plan as an HOK Innovation Principal. Advocacy focuses on equitable design principles and reducing geographic barriers to care. Current initiatives explore price transparency in healthcare and the impact of social vulnerability on surgical outcomes.

Official University Profile

Judith Grant LongView profile

Associate Professor

University of Michigan-Ann ArborUnited States

Dr. Judith Grant Long is an Associate Professor of Urban and Regional Planning and Sport Management at the University of Michigan with a joint appointment. She holds a PhD in Urban Planning from Harvard University, where she previously directed the Urban Planning Program. Her research focuses on strategic investments in sport venues and tourism infrastructure, examining public-private partnerships, mega-event legacies, and host city outcomes. Dr. Long's work spans Olympic Games infrastructure, NFL stadium development, and sport district planning. She is a certified city planner with over 20 years of academic and industry experience, including board roles at Juego de Pelota and Coliseum. Her research has been funded by the National Science Foundation and HUD. Dr. Long teaches courses on sport real estate development and Olympic infrastructure planning, mentoring students through collaborative projects. Education: PhD in Urban Planning (Harvard University, minor in Economics) MDes in Real Estate Development (Harvard Graduate School of Design) Undergraduate degrees in Economics and Urban Planning Research Interests: Dr. Long bridges sport management and urban planning to address challenges in venue financing, post-event infrastructure utilization, and urban development through sport-driven initiatives. She emphasizes cost-effectiveness and long-term success for host cities, leveraging data from over 120 major league venues and Olympic projects. Grants & Awards: Funded by NSF, HUD, and the Canada Mortgage and Housing Corporation. Her work has been featured in the New York Times, Wall Street Journal, and BBC Radio. Student Collaboration: Leads teams of researchers investigating Olympic venues, sport districts, and former major league facilities. Current and former students include Sarah Perrigo (MURP '22), Stephanie Gerretson (PhD '20), and Robert Sroka (PhD '21).

Official University Profile

Antonio PeyracheView profile

Associate Professor

University of QueenslandAustralia

Associate Professor Antonio Peyrache is a Deputy Head of School at the School of Economics, University of Queensland, within the Faculty of Business, Economics and Law. His research focuses on applied economics, econometrics, and productivity/efficiency analysis with particular emphasis on production systems, public sector efficiency, and systemic risk modeling. He leads the Centre for Efficiency and Productivity Analysis (CEPA), driving advancements in efficiency measurement methodologies. Key research interests include judicial system efficiency, banking systemic risk, and multilevel production networks. Recent work explores homothetic production technologies and optimal organizational structures for public institutions. Featured projects include analyzing productivity in Australian horticulture and European judicial systems. His expertise spans both theoretical contributions (e.g., decomposition frameworks) and applied policy analysis (e.g., healthcare delivery efficiency). Publications span journals like European Journal of Operational Research and Omega, with a focus on operational research techniques and their policy applications. He has directed projects funded by the Asian Productivity Organization and collaborated on EU-KLEMS growth accounting initiatives. Professional roles include editorial contributions and leadership in academic productivity analysis.

Official University Profile

Philipa MladovskyView profile

Associate Professor

London School of Economics and Political Science (LSE)United Kingdom

Philipa Mladovsky is an Associate Professor in the Department of International Development at the London School of Economics and Political Science (LSE). She specializes in comparative health policy, universal health coverage, and migrant health, with a focus on equity in healthcare access and the political dimensions of health financing. Her work examines how social exclusion impacts healthcare access for marginalized populations, including asylum seekers, refugees, and low-income communities in Senegal, Ghana, India, and the UK. Education: Dr. Mladovsky holds a PhD in Social Policy (LSE), MSc in Health, Population and Society (LSE), and a BA in Social Anthropology (Cambridge University). She previously worked at the European Observatory on Health Systems and Policies and the World Health Organization. Research Interests: Her research integrates multidisciplinary approaches to analyze health policy frameworks, with emphasis on migrant mental health governance, universal health coverage reforms, and the role of social capital in health insurance enrollment. Key themes include the intersection of security policies with health outcomes for migrants, and the fragmentation of healthcare systems in diverse contexts. Professional Roles: She co-leads the MSc in Health & International Development and chairs the LSE Global Health Initiative. Her recent work addresses systemic inequities in mental health coverage for forced migrants in England and the political economy of healthcare financing reforms in low-income countries. Grant Activities: She led the EU-funded Health Inc. project exploring social exclusion and healthcare access in Ghana, Senegal, and India. Her current projects examine migrant health policy responses across Europe and the impact of austerity measures on healthcare systems.

Official University Profile

Tom BootView profile

Associate Professor

University of GroningenNetherlands

Dr. Tom Boot is an Associate Professor at the Department of Economics, Econometrics & Finance at the University of Groningen. He holds a PhD in Econometrics from Erasmus University Rotterdam (2017) and an MSc in Econometrics from the same institution (2012), along with an MSc in Physics from the University of Groningen (2010). His research focuses on econometric theory applied to macroeconomic forecasting, high-dimensional data analysis, and causal inference. He has been recognized with the Veni grant (2021–2024) for his work on forecasting methodologies. Boot’s research interests include improving forecast accuracy through methods like subspace projections, structural break modeling, and privacy-aware marketing analytics. His recent work explores privacy-utility trade-offs in data-driven marketing and unbiased estimation techniques for clustered errors. He has supervised PhD students including Jhordano Aguilar Loyo and Gilian Ponte, whose theses addressed panel data heterogeneity and differential privacy applications. Boot is also a program director for the MSc Econometrics, Operations Research, and Actuarial Studies (since 2024). His contributions to econometrics span over a dozen peer-reviewed publications, with a focus on advanced statistical techniques for economic forecasting and policy analysis. Collaborations include work with institutions like Harvard/MIT and the organization of workshops on causal inference and machine learning.

Official University Profile

Muhammed EsginView profile

Lecturer

Monash UniversityAustralia

Muhammed Esgin is a Lecturer in the Department of Software Systems & Cybersecurity at Monash University's Faculty of Information Technology (FIT). He holds a PhD in Cybersecurity from Monash University (2020) and has extensive postdoctoral experience at Monash and CSIRO's Data61, alongside an IBM Research internship in Zurich. His research focuses on quantum-resistant cryptography, privacy-enhancing technologies, and blockchain protocols, with applications in cybersecurity and social good. Education: Doctor of Philosophy (Cybersecurity), Monash University, 2020 Research Internship, IBM Research - Zurich (hosted by Vadim Lyubashevsky) Research Interests: Post-quantum cryptography (lattice-based schemes) Privacy-preserving protocols (e.g., zero-knowledge proofs) Secure blockchain technologies (confidential transactions, ring signatures) Cryptographic primitives for decentralized systems Recent Projects: Securing Privacy-Preserving Cloud Computation Against Active Attacks (2025–2028) More Efficient Post-Quantum Multi-Signatures (2024–2025) Quantum Information Technology: Industry Readiness & Applications (2023–2027) Teaching Roles: Lecturer for FIT units: Network Security, Introduction to Computer Architecture, Advanced Security Topics Tutor/Admin Tutor for multiple cybersecurity courses

Official University Profile

Stephan Sander-FaesView profile

Associate Professor

University of BergenNorway

Stephan Sander-Faes is an Associate Professor at the University of Bergen's Department of Archaeology, History, Cultural Studies and Religion. He holds a Ph.D. from the University of Graz (2011) and a Habilitation in Early Modern and Modern History from the University of Zurich (2018). Before joining UiB in 2020, he taught for ten years at other institutions. His research focuses on Central European history, particularly the Habsburg Empire, Venetian Stato da mar, and economic history. He has published extensively on topics such as fiscal policies, urban dynamics, and legal practices in early modern Europe. Education: Ph.D., University of Graz, 2011 Habilitation, University of Zurich, 2018 Research Interests: Habsburg Studies Venetian Republic and its territories Economic and legal history Urban and social dynamics in early modern Europe Recent Research Trends: His publications analyze fiscal crises, state formation, and legal practices within Habsburg and Venetian contexts, with a focus on Bohemia, Dalmatia, and Adriatic trade networks. Recent work explores the interplay between Enlightenment ideals and bureaucratic reform in 18th-century Austria. Labs/Teams: Engaged with interdisciplinary projects on early modern state-building and transregional networks, collaborating with institutions such as the German Historical Institute London and the Austrian Academy of Sciences.

Official University Profile