جست‌وجوی استاد و پژوهشگر

Ashwinkumar Venkatanaga Machanavajjhalaمشاهده پروفایل

دانشیار مدعو

• Differential Privacy
• Data Privacy
• Secure Multi-Party Computation
• +۳ مورد دیگر

Ashwinkumar Venkatanaga Machanavajjhala is an Adjunct Associate Professor of Computer Science at Duke University's Trinity College of Arts & Sciences since 2024, with prior roles as Associate Professor (2018-2024) and Assistant Professor (2012-2018). His research focuses on differential privacy, secure multi-party computation, and privacy-preserving data analysis frameworks. Education: Ph.D. from Cornell University (2008) His work spans privacy-preserving algorithm design, synthetic data generation, and privacy-utility trade-offs. Recent research themes include differential privacy for aggregate queries, foreign key constraints in database systems, and policy-aware privacy frameworks . Grant projects like RAISE: C-Accel Pilot and RAPID: Poirot highlight his leadership in privacy and data security initiatives. Scientific contributions include groundbreaking work on ϵktelo for differentially private algorithms, DP-Sync for update pattern privacy, and Blowfish Privacy for customizable privacy definitions. Awards include the NSF CAREER Award (2013) for early-career impact. In outreach, he led the Bass Connections Faculty Team (2018-2019) addressing vaccine misinformation in Durham. Teaching includes COMPSCI 891: Special Readings in Computer Science (Summer 2022).

• Energy Systems Modelling
• Renewable Energy
• Environmental Systems
• +۵ مورد دیگر

Dr Mark Barrett is a Senior Lecturer at the Bartlett School Env, Energy & Resources, University College London. With over 30 years of experience in energy systems modelling, he focuses on reconciling environmental, economic, and energy objectives through integrated policy and technology analysis. RCUK Academic Fellowship Education: Doctor of Philosophy, Open University (1981) Postgraduate Certificate, University of Newcastle (1974) Bachelor of Science (Honours), University of Sussex (1973) His research spans energy demand/supply systems, transport electrification, and decarbonization strategies, with applications in Europe, the UK, Asia, and Latin America. Key projects include EPSRC-funded Energy People and Buildings , Low Carbon Shipping , and Energy Technology Institute initiatives on domestic thermal efficiency. Recent publications analyze 100% renewable electricity grids in Australia, heat load dynamics in the UK, hydrogen heating solutions, and demand-side flexibility in district networks. His work emphasizes optimization algorithms, temporal resolution, and cross-sectoral trade-offs. Scientific Contributions: 2023: Policy report Green Light on energy transitions 2022: Electricity price forecasting with storage integration 2022: Heat demand management using interconnectors 2021: Hydrogen heating and district heating optimization As a consultant, he has advised governments and NGOs on energy policy. He supervises PhD students in energy systems and shipping while teaching modules on systems modelling, energy security, and European energy scenarios.

Sina Rafati Niyaمشاهده پروفایل

پژوهشگر

• Blockchain
• Decentralized Finance (DeFi)
• Supply Chain Tracking
• +۴ مورد دیگر

Dr. Sina Rafati Niya serves as a Senior Researcher at the Blockchain and Distributed Ledger Technologies (BDLT) group, University of Zurich (UZH), where he specializes in blockchain data governance and analytics for PoS-based systems including Cardano, Tezos, Casper, and Polkadot since 2022. His research spans decentralized applications in DeFi, supply chain tracking, identity management, and IoT domains, building on continuous work since 2017. He completed his Ph.D. at UZH in 2021 with the dissertation "Efficient Designs for Practical Blockchain-IoT Integration," establishing foundational work for his current research trajectory. Rafati Niya's research centers on Blockchain Data Engineering and Analysis, with specific expertise in transaction untangling (Cardano shared send transactions), address clustering heuristics, privacy-preserving micro-payment systems for resource-constrained IoT devices, and GDPR-compliant blockchain adaptations. His methodology emphasizes practical implementation challenges in scalability and real-world deployment across financial, supply chain, and industrial IoT contexts. Publication analysis reveals concentrated advancements in Cardano analytics (60% of recent work), including novel transaction analysis frameworks and network structure investigations in Polkadot, alongside persistent exploration of blockchain-IoT integration patterns. This body of work demonstrates evolving sophistication from protocol design (2017-2020) toward advanced analytics and privacy solutions (2021-2025). No scientific awards were documented in the source material. While specific advisees and grants remain unlisted, his extensive co-authorship pattern (27+ publications 2017-2025) indicates active mentorship within the BDLT group and collaboration with researchers including C. J. Tessone, Burkhard Stiller, and M. Chegenizadeh. Current projects focus on offline micro-payment verification and Cardano transaction analytics. As a core contributor to UZH's BDLT research group, he drives initiatives in blockchain analytics infrastructure and practical protocol development, maintaining strong industry-academia connections through publications in IEEE ICBC, Springer, and Elsevier venues.

T. Max Friesenمشاهده پروفایل

استاد

• Arctic Archaeology
• Zooarchaeology
• Climate Change Impacts on Cultural Heritage
• +۳ مورد دیگر

Professor T. Max Friesen is a leading Arctic archaeologist at the University of Toronto's Department of Anthropology , specializing in prehistoric hunter-gatherer societies, zooarchaeology, and climate change impacts on cultural heritage. His research spans 5,000 years of Arctic history, focusing on the Canadian Arctic regions of Nunavut and the Northwest Territories through collaborations with northern communities. Education: PhD in Archaeology from McGill University (1995) Research Interests include: Prehistoric Arctic migrations (Paleo-Inuit, Thule) and their technological adaptations Zooarchaeological analysis of animal bones from sites like Bell and Pembroke Climate change effects on archaeological preservation in permafrost regions Thule-Inuit cultural evolution and subsistence economies Community-based archaeology and heritage conservation His 15 most recent publications (2000-2018) demonstrate expertise in Arctic colonization dynamics, 3D documentation of endangered sites, and interdisciplinary studies of host-pathogen relationships through HBV subgenotype B5 research. Key projects include the Arctic CHAR initiative for climate change mitigation and comparative studies of Dorset vs. Thule hunting technologies. Scientific Contributions: Coined terminology standardization for Arctic archaeological traditions Developed frameworks for understanding Inuvialuit interregional interaction Advanced 3D recording methods for rapidly deteriorating Arctic sites Reconstructed millennial-scale caribou drive system evolution Advising: Actively mentors graduate students in Arctic archaeology with fieldwork opportunities in Nunavut and the Mackenzie Delta. Collaborates with Kitikmeot Heritage Society and international researchers on heritage preservation.

Kazem Cheshmiمشاهده پروفایل

استادیار

• High-performance computing
• Compilers
• Scientific computing
• +۳ مورد دیگر

Kazem Cheshmi is an Assistant Professor in the Department of Electrical and Computer Engineering at McMaster University. His research focuses on compiler optimization techniques for accelerating scientific computing and machine learning applications on parallel architectures. He leads the SwiftWare Lab and teaches courses such as High-Performance Programming (COMPENG 4SP4/ECE 6SP4) and Special Topics in Computation (ECE 718). Education: B.Eng. (Ferdowsi University of Mashhad), M.A.Sc. (University of Tehran), Ph.D. (University of Toronto). He has held research positions at Microsoft Research, Adobe Research, Concordia University, and Rutgers University. Research Interests: High-performance computing, compiler design, sparse matrix computations, and their applications in machine learning and scientific computing. His work emphasizes optimizing sparse codes for parallel architectures and developing efficient QP solvers like NASOQ. Key Contributions: Developed Sympiler (a domain-specific compiler for sparse matrix codes) and NASOQ (a scalable QP solver). His awards include the ACM-IEEE CS George Michael Memorial HPC Fellowship (2020) and recognition for contributions to compiler-driven sparse computation optimization. Teaching and Service: Organizes SONAD’25, serves on program committees for PPoPP, Supercomputing, and IPDPS. Supervises students in compiler design, parallel programming, and high-performance computing. Labs/Teams: Leads the SwiftWare Lab focusing on compiler optimization and high-performance systems. Collaborates on open-source projects like Sympiler and NASOQ.

Dana Kikuمشاهده پروفایل

دانشیار

• Finance
• Economics
• Climate Change Economics
• +۳ مورد دیگر

Dana Kiku is an Associate Professor of Finance at the Gies College of Business, University of Illinois Urbana-Champaign. Her research focuses on financial risk management, asset pricing, macroeconomics, and climate change economics. She holds a position in the Department of Finance and has contributed to understanding long-term economic risks, volatility dynamics, and the impact of climate change on financial systems. Her work bridges theoretical models with empirical applications, addressing topics such as moral hazard in financial markets, cointegration-based asset allocation, and the valuation of growth options. Notably, her research on climate change's implications for capital markets explores how temperature shifts influence equity prices and investment strategies. Despite her prolific publication record, no specific educational background or awards are detailed in the provided text. No advisees, grants, or lab affiliations are explicitly mentioned. Her articles span over a decade, reflecting a sustained focus on long-run risks, volatility, and economic policy uncertainties.

Oktay Urcanمشاهده پروفایل

استاد

• Financial Accounting
• Corporate Finance
• Tax Policy
• +۷ مورد دیگر

Oktay Urcan is a Professor of Accountancy and Academic Director of iDegrees at the University of Illinois at Urbana-Champaign. He has held roles including Josef and Margot Lakonishok Faculty Fellow and Fred & Virginia Roedgers Faculty Fellow in Accountancy. Prior to this, he was an Associate Professor (2014–2022) at the same institution, and previously an Assistant Professor at London Business School (2007–2014). His research focuses on archival financial accounting, including debt market relevance of accounting information, macro accounting, and tax policy effects. He has received multiple recognitions, including the Raymond A. Hoffman Faculty Excellence Award and repeated listings as an excellent teacher by students. Education: PhD in Accounting from the University of Texas at Dallas (2007) and BA in Management from Bogazici University (2002). His teaching includes advanced accounting topics like mergers and acquisitions, and he leads doctoral research seminars. Current roles also include overseeing online programs through iDegrees. Research Interests: Extensive work on macroeconomic impacts of tax policies, corporate tax avoidance, and the interplay between accounting disclosures and market outcomes. Recent studies explore AI's regulatory implications and cross-border tax monitoring effects. Awards: Highlighted awards include the Lakonishok Fellowship (2022–present), Roedgers Fellowship (2016–present), and consistent student excellence rankings. His work bridges accounting theory with practical regulatory and policy challenges. Course Leadership: Teaches courses such as ACCY 500 (Accounting Measurement), ACCY 532 (Accounting for M&As), and doctoral research methods. His course content emphasizes applied accounting practices in complex transactions and regulatory environments.

Andrea Lanteriمشاهده پروفایل

دانشیار

• Macroeconomics
• Fiscal Policy
• Economic Dynamics
• +۳ مورد دیگر

Andrea Lanteri is an Associate Professor of Economics at Duke University, affiliated with the Trinity College of Arts & Sciences. He holds a Ph.D. and M.S. in Economics from the London School of Economics. His research focuses on Macroeconomics, particularly fiscal policy design, capital markets, and business cycle dynamics. He is a Research Affiliate at the Centre for Economic Policy Research (CEPR). Dr. Lanteri has led grants such as 'Credit Shocks and Equilibrium Dynamics in Consumer Durable Goods Markets' (NSF, 2018-2022) and 'Capital Specificity and Aggregate Productivity' (CAF Development Bank, 2016-2017). His teaching includes intermediate macroeconomics (ECON 210D) and advanced courses like Macroeconomic Analysis II (ECON 706D). His research explores topics like optimal taxation, durable goods markets, and capital reallocation. Recent work examines how credit shocks impact consumer behavior and how policy frameworks handle partial information. His studies combine theoretical models with empirical data, addressing real-world economic challenges. Lanteri’s contributions span journals such as the American Economic Review and Review of Economic Dynamics. He advises on policy-related projects and collaborates with institutions like the Inter-American Development Bank. His future research includes clean technology financing and innovation dynamics.

• Macroeconomics
• Climate Change
• Inequality
• +۴ مورد دیگر

Diego Känzig is an Assistant Professor in the Department of Economics at Northwestern University, affiliated with the National Bureau of Economic Research (NBER) as a Faculty Research Fellow, and a Research Affiliate at the Centre for Economic Policy Research (CEPR). He holds a PhD in Economics from London Business School (2022) and teaches Empirical Macroeconomics at the PhD level. His research focuses on macroeconomics, climate change, and inequality, particularly examining how energy, climate policies, and income disparities influence economic fluctuations and policy transmission. Education: PhD in Economics (London Business School, 2022); MRes in Economics (London Business School, 2018); MSc in International and Monetary Economics (Universities of Bern and Basel, 2015); BSc in Economics (University of Bern, 2013). Research interests include climate policy impacts, the macroeconomic effects of energy shocks, and the distributional consequences of economic policies. He has published in leading journals like the American Economic Review , Journal of Monetary Economics , and IMF Economic Review . His work highlights the business cycle implications of climate change and inequality. Key honors include the ECB Young Economist Competition win (2021), AQR Top Finance Graduate Award (2022), and keynote speaker at Norges Bank’s Climate Change Conference (2025). He serves as an Associate Editor for the Journal of the European Economic Association and has held visiting roles at institutions like the Bank of England and Swiss National Bank. Professional activities include refereeing for top journals, organizing climate finance webinars, and participating in policy workshops. His research grants include the INQUIRE Europe Research Grant (2022) and Lamfalussy Fellowship (2022).

Kiminori Matsuyamaمشاهده پروفایل

استاد

• International Trade
• Economic Growth and Development
• Macroeconomic Instability
• +۳ مورد دیگر

Kiminori Matsuyama is a Professor of Economics at Northwestern University's Weinberg College of Arts & Sciences. His research focuses on international trade, economic growth, and development, with an emphasis on macroeconomic instability, structural transformation, and global inequality. He holds a PhD from Harvard University (1987) and is a Fellow of the Econometric Society. A 1996 recipient of the Nakahara Prize for outstanding young economists, he currently serves as an associate editor of the Journal of Economic Theory and the Journal of the Japanese and International Economies . His work explores mechanisms driving economic disparities across nations and households, integrating theoretical frameworks with empirical insights. Recent research delves into premature deindustrialization, credit cycles, and demand-driven structural change. He has contributed to understanding how market size influences innovation dynamics and how nonlinear models can explain economic fluctuations. Matsuyama’s scholarly output spans over 30 years, with articles addressing topics such as monopolistic competition, global value chains, and policy implications of structural transformation. His awards reflect recognition for advancing theoretical economics, particularly in development and international trade domains.

Huyen Leمشاهده پروفایل

استادیار

• Transportation Planning
• Environmental Science
• Public Health
• +۳ مورد دیگر

Huyen Le is an Assistant Professor in the Department of Geography at The Ohio State University, affiliated with the College of Arts and Sciences. She holds a PhD in Planning from Virginia Tech, an MS from The University of Iowa, and a BEng from Hanoi Architectural University. Her research focuses on transportation, environment, and health, emphasizing sustainable mobility, ICT impacts on urban systems, and health outcomes linked to travel behavior. Education: PhD in Planning (Virginia Tech, 2019), MS in Planning (University of Iowa, 2015), BEng in Urban Construction Management (Hanoi Architectural University, 2011). Key affiliations: Sustainability Institute, Translational Data Analytics Institute, and Center for Urban and Regional Analysis. Le’s research explores three core themes: urban transportation demand management, environmental impacts of ICT, and health effects of daily travel. She leads the Healthy Mobility Group, which investigates equitable transportation systems, air quality, and mental/physical health through interdisciplinary collaboration. Her work has received funding from NIH, EPA, and OSU grants. Recent studies address post-COVID transit dynamics, built environment equity, and cycling infrastructure valuation. Her team employs advanced methods like GIS, GPS tracking, and machine learning to analyze mobility patterns and policy impacts. Current projects include spatial accessibility analysis and health trade-offs in cycling equity. Le’s lab collaborates with national and international partners, focusing on translating research into actionable policies for healthier urban transportation systems.

Paul M. Vaalerمشاهده پروفایل

استاد

• Migrant remittances and entrepreneurship
• Sovereign risk and credit rating agencies
• Political business cycles in emerging democracies
• +۳ مورد دیگر

Paul M. Vaaler is the John and Bruce Mooty Chair in Law & Business with joint appointments at the University of Minnesota's Carlson School of Management (Department of Strategic Management & Entrepreneurship) and Law School. He holds a PhD from University of Minnesota (1997), JD from Harvard Law (1988), MA from Oxford as a Rhodes Scholar (1985), and BA from Carleton College (1983). His research integrates business, law, and policy with focus areas including: Migrant remittances and venture investment in developing economies Sovereign risk assessment and credit rating agencies Political business cycles in emerging democracies Technology industry performance dynamics Data privacy regulation impacts Vaaler's publications demonstrate consistent focus on international business policy, with recent work examining data breach laws, diaspora institutions, and discriminatory market practices. His methodological approach combines empirical analysis of institutional impacts with practical policy implications. Honors include: Academy of International Business Fellow (2020-Present) Fulbright Scholar to South Africa (2019-2020) Sanjaya Lall Visiting Professorship at Oxford (2012) Rhodes Scholarship for Oxford studies He holds editorial leadership roles including Co-Editor-in-Chief of SSRN's Global Business Issues journal and Senior Editor for Journal of International Business Policy . From 2015-2019, he provided business commentary for WCCO Radio.

Kristina Sendovaمشاهده پروفایل

دانشیار

• Ruin Theory
• Risk Theory
• Financial Modeling
• +۲ مورد دیگر

Kristina Sendova serves as an Associate Professor in the Department of Statistical and Actuarial Sciences at Western University. Her academic office is located in MC 268, and she can be contacted via email at ksendova@stats.uwo.ca. Education: Ph.D. from University of Waterloo (2004) Research Focus: Dr. Sendova's work centers on Ruin Theory and Risk Theory, with significant contributions to financial modeling applications. Her research bridges actuarial science and stochastic processes, developing mathematical frameworks for insurance risk assessment and financial stability analysis. She investigates temporal patterns in surplus processes, seasonal risk models, and compound Poisson applications. Publication Trends: Her recent publications (2013-2023) demonstrate consistent output in top-tier actuarial journals including Insurance: Mathematics and Economics and North American Actuarial Journal. Key themes include Parisian ruin extensions, dividend barrier strategies, and dual risk models with dependencies. Her work shows increasing complexity in modeling temporal dependencies and seasonal patterns within insurance risk frameworks. Scientific Awards: No scientific awards were documented in the provided materials. Advising and Funding: Dr. Sendova supervises five doctoral candidates and two master's students: PhD Candidates: Sherly Alfonso Sanchez, Diba Daraei, Amir Hossein, Vaneh Azarian, Xinghan Zhu MSc Students: Bernard Emmanuel Bartels, Parinaz Zarei Her research is supported by competitive funding: NSERC Discovery Grant Alliance Grant

David Bergerمشاهده پروفایل

استاد

• Macroeconomics
• Monetary Policy
• Labor Economics
• +۳ مورد دیگر

David Berger is a Professor of Economics at Duke University's Trinity College of Arts & Sciences. His research focuses on macroeconomics, monetary policy, labor markets, housing economics, and public policy. He holds a Ph.D. from Yale University (2012). Key research areas include the effects of minimum wages on labor market efficiency, the macroeconomic implications of imperfect risk sharing, and the dynamics of housing markets. He has explored topics such as monopsony power in labor markets, the role of testing in pandemic reopening strategies, and the impact of mortgage policies on monetary policy transmission. Recent grants include a National Science Foundation award (2022–2025) for studying macroeconomic implications of economic policy in imperfectly competitive labor markets. He teaches courses on housing economics, macroeconomic policy design, and applied microeconomics. External affiliations include the Federal Reserve Bank of Dallas and the National Bureau of Economic Research (NBER). His work spans both theoretical and empirical contributions, with a focus on policy-relevant analysis in labor markets, fiscal stimulus, and financial systems.

• Data Analytics
• Statistical Learning
• Computational Science
• +۴ مورد دیگر

Giuseppe Brandi is an Assistant Professor in Data Science at Northeastern University London and an Honorary Research Fellow at Imperial College London's Centre for Climate Finance & Investment. His research focuses on DataMetrics, a discipline blending Data Analytics, Statistical Learning, and Computational Science to analyze complex systems, particularly in finance and climate contexts. He emphasizes adapting models to data rather than forcing data into pre-existing theoretical frameworks. Dr. Brandi's work spans Climate Data Science, Econometrics, and Quantitative Finance. He critiques rigid theoretical models and advocates for interdisciplinary methods to extract insights from multidimensional data. His recent publications explore multiscaling in financial systems, tensor-based decomposition for multidimensional data, and liquidity contagion in interbank markets. His articles highlight trends in financial risk assessment, systemic risk modeling, and the application of tensor methods to complex datasets. Notably, he develops tools like the DisaggregateTS package for time-series analysis and visual warning systems for financial anomalies. Despite these contributions, no scientific awards are explicitly mentioned in the provided texts. Dr. Brandi's advising and grant activities remain undocumented here, though his academic roles suggest involvement in student mentorship and collaborative research projects. His affiliation with Northeastern's global network positions him to engage with interdisciplinary teams across multiple campuses.