جستجوی استاد راهنمای دانشگاهی

Dr. Li Wan is an Associate Professor in Urban Planning and Development at the Department of Land Economy, University of Cambridge, and a Fellow of Gonville and Caius College. He serves as Director for the MPhil in Planning, Growth and Regeneration and is a co-investigator of the Centre for Smart Infrastructure and Construction. Dr. Wan is also a Trustee of the IJURR Foundation and leads a research group focused on understanding urban land and transport development through applied modeling and data analytics. Dr. Wan holds a BArch, MPhil, and PhD from the University of Cambridge. Prior to joining Land Economy, he worked in Architecture and Engineering Departments, giving him a highly interdisciplinary perspective. His research focuses on spatial economic modeling of urban land use and transport systems, with recent interests including strategic planning at city/regional levels, impact studies of flexible working, micromobility, and electric vehicles. Dr. Wan's research group has produced significant work in city digital twins, as evidenced by his 2023 book Digital Twins for Smart Cities: Conceptualisation, challenges and practices . His publications span urban analytics, transport emissions, spatial equilibrium modeling, and economic geography, demonstrating the interdisciplinary nature of his work. Recent research trends show increasing focus on post-pandemic urban dynamics, digital governance, and sustainable mobility solutions. His research group has secured funding from initiatives like AI@Cam for projects examining how local authorities use AI for urban decision-making. Dr. Wan actively supervises PhD and MPhil students, with his group comprising researchers working on diverse urban topics from land-use efficiency to micromobility impacts. As an educator, Dr. Wan teaches courses including Tripos Paper 10 - The Built Environment, PGR01 - Urban and Environmental Planning, PGR02 - Urban and Housing Policy, PGR05 - Place-based Policy, and RM03 – Spatial Analysis and Modelling. His group has presented at major international conferences including CUPUM and ICML, reflecting his active engagement in the academic community.

• Spatial Economic Modelling
• Urban Land Use
• Transport Systems
• +۱۲ مورد دیگر

Prof. Andreas Gulyas is an Assistant Professor of Macroeconomics at the Department of Economics, University of Mannheim, and a research affiliate at IZA. He holds a Ph.D. from UCLA and a M.Sc. from the University of Vienna. His research focuses on Macroeconomics, Labor Economics, Search Theory, and Machine Learning applications in economics. Education: Ph.D. in Economics, UCLA, Los Angeles, USA M.Sc. in Economics, University of Vienna, Austria Research Interests: Gulyas examines labor market dynamics, monetary policy impacts, wage transparency, and the consequences of job displacement. His work combines theoretical models with empirical analysis, often employing field experiments and machine learning techniques to explore labor market inefficiencies and policy implications. Notable areas include cross-country comparisons of economic inequality and pandemic-induced unemployment effects. Articles Trends: His recent work emphasizes labor market policies, wage structures, and macroeconomic shocks. Key themes include the role of fringe benefits in job search behavior, monetary policy's heterogeneous effects, and pandemic-related unemployment disparities. Machine learning is increasingly used to analyze heterogeneous outcomes in displacement scenarios. Awards: No scientific awards listed. Advising/Grants: No advising records or grant information provided in available texts. His current research is likely supported through institutional funding and affiliations like IZA. Labs/Teams: Affiliated with the AEE Seminar at Mannheim, contributing to collaborative economics research initiatives.

• Macroeconomics
• Labor Economics
• Search Theory
• +۱ مورد دیگر

Mats Alvesson is a Professor in Organizational Studies at the Department of Business Administration, School of Economics and Management, Lund University. He is actively engaged in research, teaching, and supervision at the PhD and master's levels, with a focus on critical perspectives in management and organization theory. University: Lund University School: School of Economics and Management Department: Department of Business Administration Academic Rank: Professor Email: mats.alvesson@fek.lu.se His research centers on leadership, organizational culture, identity, power, gender, knowledge-intensive firms, qualitative methods, and the philosophy of science. He is known for co-developing the concept of 'functional stupidity' and for his critical analyses of symbolic management and leadership. His recent work explores the paradoxes of meaning and emptiness in modern organizations. The 15 most recent articles and books reflect a sustained engagement with critical management studies, strategy as practice, organizational change, and reflexive methodologies. His publications span qualitative theory development, leadership critique, cultural analysis, and methodological innovation, often published with leading academic presses like Oxford University Press, Sage, and Cambridge University Press. While no specific scientific awards are listed in the provided material, his extensive publication record, high research output (231 items), and international collaborations indicate significant scholarly recognition. Mats Alvesson supervises PhD students, including Rachel Waldo, and has been involved in teaching qualitative methods, knowledge work, and organizational change. He has participated in external academic activities, such as visiting Hanken School of Economics and hosting scholars like Yiannis Gabriel. His work contributes to the UN Sustainable Development Goals in the domain of social sciences and business administration. He is currently leading a dissertation project titled 'The enchanted sense making: An exploration of employee-brand love relationships in the luxury-brand sector,' reflecting his ongoing interest in symbolic and affective dimensions of organizational life.

• Organizational Studies
• Critical Management Studies
• Leadership
• +۱۲ مورد دیگر

Nurul Alam is a Lecturer in Accounting at the University of Sydney Business School. His research focuses on machine learning applications in finance and accounting, corporate distress prediction, and financial reporting. He holds a PhD from the University of Sydney, where he investigated machine learning models for US corporate bankruptcies. His teaching excellence has earned over 15 awards, including multiple Dean’s Citations and nominations for the Wayne Lonergan Award for Teaching Excellence. Education Master of Commerce (Finance & Accounting), University of Sydney Bachelor of Business Administration (Finance & Banking), University of Rajshahi, Bangladesh Research Interests Machine Learning and Deep Learning in accounting and finance Big Data analytics for corporate financial decision-making Accounting fraud detection mechanisms Financial reporting standards and regulations Current Projects Corporate bankruptcy prediction using survival models and AI Deep Learning applications in panel data analysis for firm distress Machine learning variable selection in corporate finance Accounting fraud patterns among lower/mid-level employees Teaching Contributions Financial Accounting B (ACCT3011) Quantitative Methods for Accounting (QBUS5002) Quantitative Business Analysis (BUSS1020)

• Machine Learning and Deep Learning
• Big Data and Artificial Intelligence in Accounting
• Accounting Fraud
• +۳ مورد دیگر

Andrei A. Levchenko is the John W. Sweetland Professor of International Economics at the University of Michigan's Department of Economics. He holds affiliations with prominent institutions including NBER, CEPR, and CEBRA, where he directs the International Trade and Macroeconomics Program. His research focuses on international trade, global production networks, business cycle transmission, and the macroeconomic implications of institutional changes. Levchenko's work bridges micro and macroeconomics, analyzing firm-level data to understand aggregate phenomena. Key contributions include studies on global supply chains' role in economic fluctuations, the impact of industrial policy on long-term growth, and the distributional consequences of large devaluations. He has been recognized with the Bhagwati Award and featured in the Economic Report of the President multiple times. His research spans topics such as trade elasticities, inflation dynamics, and the intergenerational trade-offs of pandemic lockdowns. Levchenko collaborates with leading economists globally, producing influential papers in top journals like the American Economic Review and Review of Economic Studies. His Google Scholar profile highlights over 10,000 citations, underscoring his significant impact on modern international economics. Education: Not explicitly listed in the provided materials. Affiliations: NBER Research Associate, CEPR Research Fellow, CEBRA Director of ITM Program. Grants & Awards: Bhagwati Award (2021/2022), multiple NBER/CEPR working papers, and contributions to policy dialogues via IMF and World Bank collaborations.

• International Economics
• Macroeconomics
• Development Economics
• +۵ مورد دیگر

Dr. Nemanja Stanišić is a Full Professor at Singidunum University's Faculty of Business, with a distinguished academic career spanning over 15 years. He holds a Ph.D. in Corporate Finance from Singidunum University (2010), an MBA in Finance from Lincoln University (2007), and a Bachelor's in Accounting from the University of Belgrade (2005). His expertise focuses on Corporate Finance, Banking, Audit, and Applied Statistical Analysis. His research integrates quantitative methods with economic theory, addressing topics such as audit opinion prediction using AI, tourism destination competitiveness, financial distress dynamics, and air pollution health impacts. He co-authored textbooks including Contemporary Exchange and E-business (2010) and Financial Statement Analysis (2024), and served as Editor-in-Chief of The European Journal of Applied Economics . He teaches courses from Financial Accounting to Advanced Financial Engineering at undergraduate, master's, and Ph.D. levels. The 15 most recent publications highlight his interdisciplinary approach: 7 in Finance/Audit, 5 in Tourism/Hospitality, and 3 in Environmental Health. Key trends include applying machine learning to audit quality (2023), multilevel modeling for hospitality satisfaction (2015-2019), and air pollution mortality analysis (2016). His work appears in high-impact journals like Tourism Management (IF 10.125) and Environmental Health (IF 4.986). He held administrative roles including Rector (2020-2021) and Vice President of Singidunum University. He served as Vice Dean for Student Affairs (2010-2011) and participated in TEMPUS projects for educational reform. He mentors graduate students extensively, advising 100+ bachelor's, 57 master's, and 4 doctoral theses, including international candidates. His visiting professorship at Bangkok's ICO NIDA and teaching in Austria-Singidunum joint programs reflect global engagement. Professional development includes advanced training at Utrecht University (Bayesian Modeling, 2019), Stanford (Mentoring, 2010), and NYU (Valuation, 2012). He reviews for top journals like Annals of Tourism Research and Cornell Hospitality Quarterly , with 1017 Google Scholar citations and 349 Scopus citations. Current research involves the Science Fund of Serbia's TOURCOMSERBIA project evaluating tourism competitiveness models.

• Corporate Finance
• Banking
• Audit
• +۳ مورد دیگر

Kingsley Fong is an Associate Professor of Finance at the UNSW Business School , specifically within the School of Banking and Finance . He holds a PhD from the University of Sydney and a BCom (Hons) from UNSW. His research focuses on market microstructure , investment , household finance , and sustainable finance , and he co-founded the RISE Finance Lab to explore finance's role in societal well-being. He also developed the DATKIS framework for systemic coherence in financial practices. Research Interests : Market microstructure, household finance, sustainable finance, and empirical finance. Teaching : Courses such as WEALTH MANAGEMENT AND CLIENT ENGAGEMENT , SUSTAINABLE INVESTING , and SUSTAINABLE FINANCE . Key Trends in Research : His work spans liquidity proxies, algorithmic trading impacts, broker-client dynamics, and sustainable finance innovations. Notable collaborations include studies on market quality, tax-driven trading, and household investment behavior. Scientific Awards : 2017 Review of Finance Spängler IQAM Prize 2021 Aspen Institute Ideas Worth Teaching Award 2022 S&P Global Decarbonisation Hackathon Engagement : Co-Founder of UNSW RISE Finance Lab (2025) Australian Sustainable Finance Institute Reference Group (2024) Deputy Head of School Banking and Finance (2011–2019) Contact : k.fong@unsw.edu.au | Location : UNSW Business School, Ref E12, Level 3, Room 344B.

• Market Microstructure
• Investment
• Household Finance
• +۲ مورد دیگر

Joshua Aizenman is the Robert R. and Katheryn A. Dockson Chair in Economics and International Relations, and Professor of Economics and International Relations at the University of Southern California (USC), Dornsife College of Letters, Arts and Sciences. He joined USC in 2013 and holds a Research Associate position at the National Bureau of Economic Research (NBER). His research focuses on applying cost-benefit analysis to international economics, examining policies, institutions, and their impacts on economic performance, particularly in emerging markets. Key areas include commercial policies, crises management, capital controls, exchange rate regimes, and macroeconomic resilience. Previously, he held positions at UC Santa Cruz (Presidential Chair in Economics), Dartmouth (Champion Professor of International Economics), Hebrew University of Jerusalem, University of Chicago GSB, and University of Pennsylvania. He has served as Co-Editor for the Journal of International Money and Finance (2010–2021) and consults with institutions like the IMF, World Bank, and Federal Reserve Bank of San Francisco. His research highlights include analyzing the Mundell-Fleming Trilemma/Quadrilemma, fiscal-monetary policy interactions during crises, and the role of international reserves. Notable awards include the USC Endowed Chair since 2013. Recent work addresses post-pandemic economic challenges, central bank policies during crises, and resilience of emerging markets under global monetary cycles.

• International Economics
• Macroeconomics
• Monetary Policy
• +۶ مورد دیگر

Bryon Aragam is an Associate Professor of Econometrics and Statistics and Robert H. Topel Faculty Scholar at the University of Chicago Booth School of Business. His research focuses on the intersection of causality, statistical machine learning, and probabilistic modeling, with particular emphasis on applications to artificial intelligence systems including large language models like ChatGPT and generative models like DALL-E. Dr. Aragam completed his PhD in Statistics and a Masters in Applied Mathematics at UCLA, where he was an NSF graduate research fellow. Prior to joining the University of Chicago, he was a project scientist and postdoctoral researcher in the Machine Learning Department at Carnegie Mellon University. Research Focus: Causal structure learning in probabilistic generative models Key Areas: Causal machine learning, deep generative models, latent variable models, statistical learning theory Applications: AI interpretability, ethics, and fairness in artificial intelligence systems Teaching: Business Statistics, Econometrics and Statistics Colloquium His recent publications demonstrate a strong theoretical foundation combined with practical applications, particularly in understanding and improving AI systems. His work spans causal discovery, graphical models, deep learning, and latent variable modeling, with particular attention to the theoretical properties of these methods and their applications to real-world AI challenges. The research shows a progression toward increasingly complex problems in causal representation learning and AI interpretability. Scientific Awards: Robert H. Topel Faculty Scholar NSF Graduate Research Fellow Dr. Aragam's work has been published in top statistics and machine learning venues including the Annals of Statistics, Neural Information Processing Systems (NeurIPS), the International Conference on Machine Learning (ICML), and the Journal of Machine Learning Research (JMLR). His research group publishes broadly across both statistical and machine learning communities, demonstrating the interdisciplinary nature of his work at the intersection of statistics, machine learning, and causal inference. As a data science consultant for technology and marketing firms, Dr. Aragam has applied his expertise to problems in survey design, customer retention, logistics, and ranking, bridging the gap between theoretical research and practical applications.

• Causality
• Statistical Machine Learning
• Probabilistic Modeling
• +۶ مورد دیگر

Sharat Ganapati is an Assistant Professor at the Edmund A. Walsh School of Foreign Service (Primary Appointment) and affiliated faculty in the Department of Economics at Georgetown University. He holds positions as a National Bureau of Economic Research (NBER) Faculty Research Fellow and a CESifo Research Affiliate. His expertise spans international trade, industrial organization, environmental economics, and spatial economics. He earned his Ph.D. in Economics from Yale University (2017), following degrees from the University of Chicago (B.S. Mathematics, B.A. Economics, 2009). His research focuses on the interplay of trade policies, firm behavior, and spatial economic dynamics. Notable contributions include studies on transshipment hubs, urban welfare, and remote work trends. His work has been published in top journals like the American Economic Journal , Journal of Political Economy , and Journal of Economic Perspectives . Ganapati has received prestigious awards and fellowships, including the Yale Dissertation Fellowship and IBM Thomas J. Watson Scholarship. He advises graduate students such as Cam Healy and Philipp Ludwig and has held editorial roles in journals including the Journal of International Economics and Review of Economics and Statistics . His grants include NSF funding for research on firm heterogeneity. Professional activities include seminars at institutions like Harvard, MIT, and the Federal Reserve.

• International Trade
• Industrial Organization
• Environmental Economics
• +۳ مورد دیگر

J. Daniel Kim is an Assistant Professor of Management at the Wharton School, University of Pennsylvania, where he teaches MBA and PhD courses on entrepreneurship and innovation. His research focuses on high-growth entrepreneurship, venture scaling, strategic human capital, mergers and acquisitions, innovation, and labor markets. PhD - MIT Sloan School of Management BA - Dartmouth College His research explores: Startup hiring challenges and firm-driven search strategies Timing and risks of venture scaling Post-acquisition employee retention patterns Founder impact on organizational change Immigrant founder contributions to entrepreneurship Key article trends show: Focus on talent dynamics in high-growth firms Analysis of organizational antecedents in acquisitions Quantitative approaches using population-level data Interdisciplinary connections between entrepreneurship, strategy, and economics Debunking myths about founder demographics Linkage between labor market mechanisms and startup performance Scientific recognition includes: Multiple Teaching Excellence Awards at Wharton (2024-2020) Best Paper Prize from Strategic Management Society (2020) Kauffman Dissertation Fellowship (2017) MIT Sloan Doctoral Thesis Prize (2019) Prof. Kim serves as an economist with the United States Census Bureau and has published in top journals including Strategic Management Journal , Organization Science , and American Economic Review: Insights . His work has been featured in The Wall Street Journal , New York Times , and Financial Times .

• Entrepreneurship
• Startup Scaling
• Strategic Human Capital
• +۴ مورد دیگر

Julia Cagé is a Full Professor of Economics at Sciences Po Paris since 2024, having joined the Department of Economics in 2014 and receiving tenure in 2021. She is affiliated with the Laboratory for Interdisciplinary Evaluation of Public Policies (LIEPP), the Centre for Economic Policy Research (CEPR) where she leads the CEPR Research and Policy Network on 'Media Plurality,' and the CESifo Research Network. Her research spans political economy, media economics, and economic history with a focus on democracy, information economics, and political participation. Cagé's research interests center on the intersection of media, politics, and economics, particularly examining how media structures influence democratic processes, political participation, and information provision. Her work combines historical analysis with contemporary economic methods to understand the relationship between media markets, campaign finance, and political representation. She has pioneered research on media ownership models, the economics of digital journalism, and the long-term effects of historical institutions on contemporary political behavior. Her publications reveal a consistent focus on the economics of information and democracy, with particular attention to media markets, campaign finance, and electoral systems. Her work spans both theoretical and empirical approaches, often using historical data to inform contemporary policy questions. The research demonstrates increasing interdisciplinary integration, connecting economics with political science, history, and media studies to address fundamental questions about democratic representation and information markets. European Research Council Starting Grant (2021) for the PARTICIPATE project Best Young French Economist Award (ex aequo) by Le Cercle des économistes and Le Monde (2023) Yrjö Jahnsson Award (2025) Special Jury Prize for Best Book on Media (2016) Prix Pétrarque de l'essai by Le Monde and France Culture (2019) Cagé has supervised numerous PhD students and early-career researchers through her ERC grant and other research projects. She has secured substantial funding including the European Research Council Starting Grant and McCourt Institute grants in 2022 and 2023. Her research group at LIEPP has produced influential policy recommendations on media pluralism and democratic representation. She has also been involved in practical applications of her research through her board membership at Agence France Presse (2015-2022) and her policy engagement with French and European institutions. Cagé leads the PARTICIPATE research project funded by the ERC, which studies campaign finance, information, and political influence using individual-level data and computer science tools. Her work connects with broader research initiatives at Sciences Po focused on democratic innovation and the political economy of information. She frequently collaborates with interdisciplinary teams including economists, political scientists, historians, and computer scientists to address complex questions about democracy in the digital age.

• Political Economy
• Media Economics
• Information Economics
• +۷ مورد دیگر

Ben Seiyon Lee is an Assistant Professor in the Department of Statistics at George Mason University's College of Science. His work bridges computational statistics, climate modeling, and environmental risk assessment. Education: PhD in Statistics, Pennsylvania State University (2020) Lee specializes in computational methods for high-dimensional spatiotemporal data and uncertainty quantification in climate models. His research explores climate change impacts on extreme hydrological events, wildfire emissions, and medical decision-making. Recent publications focus on Bayesian spatiotemporal frameworks for extreme precipitation analysis, zero-inflated spatial models, and multisector uncertainty quantification. His work addresses challenges in flood risk assessment, agricultural yield projections, and healthcare compliance metrics.

• Computational Statistics
• Spatiotemporal Modeling
• Climate Change Impact Analysis
• +۳ مورد دیگر

Solntsev Sergey Andreevich is an Associate Professor at the Department of Applied Economics within the Faculty of Economic Sciences at the National Research University Higher School of Economics (HSE). He also serves as Deputy Head of the Laboratory of Labor Market Research. With over 23 years of scientific and teaching experience since joining HSE in 2004, he specializes in labor economics, corporate governance, and personnel policy. Candidate of Economic Sciences (2006), Lomonosov Moscow State University Master's degree in Economics (2003), Lomonosov Moscow State University Bachelor's degree in Economics (2001), Lomonosov Moscow State University His research focuses on labor market dynamics, particularly examining wage structures, personnel policies in Russian companies, top management labor markets, and the relationship between higher education and labor market outcomes. He has conducted extensive empirical research on how Russian firms adjust wages, recruit employees, and manage executive turnover, with a particular emphasis on corporate governance mechanisms. His work often utilizes unique Russian enterprise and household survey data to provide insights into labor market functioning in the Russian context. His publication portfolio demonstrates a consistent focus on Russian labor market issues, with particular attention to higher education outcomes, wage setting practices, and executive labor markets. His research combines rigorous empirical methodology with practical policy implications, contributing significantly to understanding labor market dynamics in Russia during periods of economic transition and crisis. Letter of thanks from the Rector of HSE (December 2022) Gratitude from the Faculty of Economic Sciences of HSE (February 2020) Academic Work Allowance (2014-2015, 2008-2009) Bonus for publication in a List B journal (2023-2025) Professor Solntsev teaches multiple courses including Labor Economics, Labor and Personnel Economics (in Russian and English), and Russian Economy at both bachelor's and master's levels. His teaching reflects his research expertise, providing students with insights into contemporary labor market issues in Russia. His research has been supported through institutional mechanisms at HSE, including participation in the Laboratory of Labor Market Research activities and various research projects. As Deputy Head of the Laboratory of Labor Market Research at HSE's Faculty of Economic Sciences, he contributes to one of Russia's leading research centers focused on labor market analysis. The laboratory conducts empirical studies on various aspects of the Russian labor market, often in collaboration with government agencies like Rostруд (Federal Labor and Employment Service). Professor Solntsev works closely with colleagues including Professor Sergey Roshchin, the laboratory head, on multiple research initiatives.

• Labor Economics
• Corporate Governance
• Personnel Policy
• +۴ مورد دیگر

Scott Michael Olson is a Professor in the Department of Civil and Environmental Engineering at the University of Illinois at Urbana-Champaign, with a 0% affiliate appointment in the Department of Geology. He holds roles as Associate Head and Director of Graduate Studies. His academic journey includes a B.S., M.S., and Ph.D. in Civil Engineering from UIUC (1993, 1995, 2001). Prior to academia, he worked in private practice with firms like Woodward-Clyde Consultants and URS Corporation, while also teaching at the University of Missouri-Rolla. Dr. Olson specializes in geotechnical engineering, focusing on geohazard identification, liquefaction engineering, laboratory testing, and paleoseismology. He teaches courses in geotechnical engineering, including CEE 380, CEE 484, and graduate-level topics like rock mechanics. His research emphasizes practical applications in infrastructure resilience, with notable contributions to understanding soil behavior under seismic loads and tailings material dynamics. Dr. Olson has been recognized with prestigious awards, including the Walter L. Huber Prize (2012), NSF CAREER Award (2009), and Arthur Casagrande Award (2004). He actively contributes to professional organizations such as the American Society of Civil Engineers and the Earthquake Engineering Research Institute, and has served on national review panels for NSF and USGS. His consulting work bridges academic research with industry challenges in geotechnical risk mitigation.

• Geotechnical Engineering
• Earthquake Engineering
• Soil Mechanics
• +۵ مورد دیگر