Find Academic Supervisors

Donald BlakesleeView profile

Professor

• Great Plains Archaeology
• Prehistoric Settlement Patterns
• Native American Trails and Sacred Sites
• +3 more

Donald Blakeslee is a Professor of Anthropology at Wichita State University's Fairmount College of Liberal Arts and Sciences. His primary focus is archaeology of the Great Plains, with research spanning from early human settlement to the historic period. He has conducted extensive fieldwork across the region, emphasizing native trails, sacred sites, and radiocarbon dating methodologies. Blakeslee’s expertise includes Middle Ceramic period studies, protohistoric adaptations, and Walnut River basin archaeology. He has held leadership roles in organizations like the Professional Archaeologists of Kansas and the Amateur Archaeology Society of Kansas (AASCK). His methodologies integrate drone surveys, chaîne opératoire analysis, and multi-sensor technologies for site investigation. Key contributions include reinterpreting Coronado expedition routes, analyzing Wichita settlements, and exploring meteorite shrine significance. His work bridges archaeological evidence with ethnohistoric records to reconstruct cultural landscapes. Current projects emphasize protohistoric period dynamics and long-term settlement patterns in Kansas. Blakeslee advocates for preservation of sacred sites like Waconda Lake and has critiqued traditional theories on Caddoan adaptations and Panhandle Aspect relationships. His research consistently applies rigorous radiocarbon dating and interdisciplinary approaches to resolve chronological and cultural questions.

José Luis Torres ChacónView profile

Professor

• Technological Change and Economic Growth
• Fiscal Policy Analysis
• Competition Policy Models
• +3 more

José Luis Torres Chacón is a Full Professor in the Department of Economic Theory at the Faculty of Economics and Business Sciences. His research focuses on technological change drivers, fiscal policy impacts, and competition policy models. He holds a PhD in Economics from UNED and teaches Advanced Macroeconomics and Undergraduate Macroeconomics courses. His academic career includes contributions to computational macroeconomics pedagogy, with publications like Introducción a la Macroeconomía Computacional . He has investigated productivity growth in Andalusia and explored the productivity paradox in the Spanish New Economy context. Recent work examines orbital debris' economic implications and satellite market dynamics. His research portfolio spans over 30 years, with notable studies on public debt sustainability in Greece, U.S. jet fighter technological evolution, and exchange rate target zone interventions. He directs the Experimental Lab (Smart Decision Lab) and chairs the Competition Policy Research Group, supported by grants like the THE-Motiva initiative. Teaching innovations include motivational strategies for economics students and dynamic modeling techniques integration. His work bridges theoretical contributions with policy relevance, addressing both regional development challenges and global economic issues like fiscal discipline and international labor mobility.

İbrahim ÖZKANView profile

Professor

• Econometrics
• Financial Risk Analysis
• Exchange Rate Pass-Through
• +3 more

Prof. Dr. İbrahim ÖZKAN is a full-time faculty member at Hacettepe University's Faculty of Economics and Administrative Sciences, Department of Economics. He has held academic positions since 1988, advancing from Research Assistant to Professor (2014-present). His research focuses on econometrics, financial risk analysis, and fuzzy logic systems. Education: PhD (Economics) from Hacettepe University (2003), MSc (Economics) from Hacettepe University (1997), BSc (Electrical-Electronics Engineering) from Middle East Technical University (1987). Research interests include exchange rate pass-through, systemic risk contagion, and business cycle transmission. Recent articles explore stock market connectedness, economic sentiment effects, and financial stress mechanisms. He has supervised 10 PhD/Master’s students and contributed to 6 research projects. Notable publications include works on causal discovery algorithms and fuzzy system modeling. He currently serves as Department Chair and has held leadership roles in academic institutions.

Zahra MontazeriView profile

Lecturer

• Computer Graphics
• Physics-based Rendering
• Material Modeling
• +3 more

Zahra Montazeri is a Lecturer (Assistant Professor) in the Department of Computer Science at the University of Manchester. Her research focuses on physics-based computer graphics, particularly photorealistic rendering and appearance modeling for complex materials like cloth, hair, and fur. She holds a PhD in Computer Science from the University of California, Irvine (UCI), and has industry experience at Disney Research, WetaDigital, Industrial Light & Magic (ILM), Pixar, and Luxion. **Education:** PhD in Computer Science (UCI, 2015–2021) M.Sc. in Computer Science (UCI, 2015–2017) B.Sc. in Computer Engineering (Sharif University of Technology, Iran, 2010–2014) **Research Interests:** Zahra’s work bridges academic and industrial applications, emphasizing practical and efficient rendering techniques. Her key areas include physics-based rendering, material modeling for fabrics, and virtual reality optimizations like foveated rendering. She collaborates with industry leaders such as WetaDigital and has contributed to movies like The Mandalorian and Avatar: The Way of Water . **Articles Trends:** Recent work focuses on texture-free cloth rendering, dynamic BTF synthesis, and neural-based material models. Her research often addresses computational efficiency while maintaining photorealism, with applications in film, gaming, and VR. **Awards:** Best Paper Award at EGSR (2023) Best Visuals Award at EGSR (2023) UCI Doctral Fellowship (2015) LightSpeed Venture Partners Summer Fellowship (2016) **Advising & Grants:** Advises four PhD students and has one alumni (David Petrescu). Her group actively collaborates with industry and explores applied research in rendering and virtual environments. She serves on program committees for PG, EGSR, and I3D. **Labs/Teams:** Leads a research group at Manchester focused on graphics and virtual environments, with interdisciplinary projects in computer vision, AI, and material science.

Ann Kristin NaumannView profile

Researcher

• Meteorology
• Atmospheric Science
• Climate Physics
• +5 more

Ann Kristin Naumann is a Researcher at the Max Planck Institute for Meteorology and Group Leader of the CliCCS Joint Working Group on the Drivers of Tropical Circulation, affiliated with the University of Hamburg's Department of Earth System Sciences. Her research focuses on microphysical processes in clouds, radiative effects, and tropical circulation dynamics. Education: PhD in Meteorology from the University of Hamburg (2015), M.Sc. in Meteorology (2011), and B.Sc. in Meteorology (2009). She has contributed to projects like EUREC4A and the development of the ICON climate model. Key research areas include cloud microphysics, radiatively driven circulations, and storm-resolving models. She investigates topics like tropical humidity, aerosol-cloud interactions, and precipitation dynamics in trade wind regimes.

Nicolas Andre Benigno Serrano-VelardeView profile

Associate Professor

• Financial Economics
• Corporate Finance
• Innovation Policy
• +7 more

Nicolas Andre Benigno Serrano-Velarde is an Associate Professor in the Department of Finance at Bocconi University. He holds a Master’s Degree from Sciences Po and a Ph.D. from the European University Institute. His research focuses on financial economics, innovation policy, bankruptcy law, and small business financing dynamics. Education: Master’s (Sciences Po), Ph.D. (European University Institute) Research interests include analyzing trade credit mechanisms, basic vs applied research spillovers, lending standards across economic cycles, and the impact of bankruptcy laws on corporate financing decisions. Notable work includes developing the Intuit QuickBooks Small Business Index, a real-time monitoring tool for microbusinesses in the US, Canada, and the UK. Key contributions include demonstrating how basic research drives economic growth, revealing the role of credit card financing in small enterprises, and examining downstream competition through supplier credit practices. His research has been cited in the U.S. Economic Report of the President and recognized with the 4Nations Cup Competition award for the 2018 paper on lending standards. Collaborations include partnerships with Intuit QuickBooks for data-driven economic studies. His work bridges theoretical economic models with empirical analysis of corporate finance, policy implications, and market dynamics.

• Computer Science
• Information Engineering
• Deep Learning
• +3 more

Di Zhang is affiliated with Guangdong Medical College's School of Information Engineering and holds a PhD in Synthetic Aperture Radar Image Interpretation from the University of Hamburg (2022). Their research focuses on interdisciplinary fields such as deep learning, remote sensing, optimization algorithms, and their applications in medical imaging, environmental science, and education technology. They have published extensively in top-tier journals like IEEE Access, IEEE Transactions on Pattern Analysis and Machine Intelligence, and Remote Sensing. Key affiliations: University of Hamburg (PhD), Guangdong Medical College, and others listed in disambiguation entries. Research interests include AI-driven medical diagnostics, SAR image analysis, IoT data management, and educational assessment systems. Recent work emphasizes deep learning frameworks for image processing, algorithm optimization, and multimodal data fusion. Publications span diverse topics such as migraine diagnosis via radiomics, social support in online learning, and robust visual SLAM systems. Their work bridges theoretical advancements with practical applications in healthcare, robotics, and environmental monitoring.

Tarek Alexandar HassanView profile

Visiting Associate Professor

• International Finance
• Macroeconomics
• Economic Growth
• +3 more

Tarek Alexandar Hassan is a Visiting Associate Professor of Economics at Boston University. His research focuses on international finance, macro-finance, and economic growth, with a particular emphasis on the impact of uncertainty, migration, and ethnic diversity on economic outcomes. He holds research fellowships at the National Bureau of Economic Research (NBER) and the Center for Economic Policy Research (CEPR), and has taught at the University of Chicago, Harvard University, and held visiting positions at Princeton, Stanford, London Business School, and the London School of Economics. His work examines how political and economic uncertainties influence firm behavior, capital allocation, and global financial markets. Key research areas include the transmission of country risk, the effects of immigration on innovation and growth, and the role of social networks in shaping investment patterns. Recent studies address the global economic impact of Brexit, pandemic-related firm vulnerabilities, and the diffusion of new technologies. Dr. Hassan has been recognized for his contributions with awards such as the Austrian Central Bank’s Klaus Liebscher Award and the Leo Melamed Prize for Outstanding Research in Finance. His interdisciplinary approach bridges macroeconomics, finance, and political economy, offering insights into policy design and market dynamics under uncertainty.

Emanuela CardiaView profile

Professor

• Macroeconomics
• International Economics
• Political Economics

Emanuela Cardia is a Full Professor in the Department of Economics at Université de Montréal's Faculty of Arts and Sciences. She directs the Centre interuniversitaire de recherche en économie quantitative (CIREQ) and specializes in macroeconomics, international economics, and economic history. Her research examines business cycle transmission across sectors and countries, fiscal policy impacts, labor market dynamics, and long-term economic trends. Significant contributions analyze female employment patterns during the Great Depression and WWII, Ricardian equivalence in open economies, and sectoral price rigidity effects on aggregate fluctuations. Recent publications investigate childcare's role in female labor participation, crowding-in effects of public spending, and demographic consequences of economic crises. Dr. Cardia employs dynamic general equilibrium models, time-use analysis, and econometric methods to study intertemporal economic behavior.

Costas KalogirosView profile

Researcher

• Technology Impact Assessment
• Demand Response and Energy Efficiency
• Network Economics
• +6 more

Costas Kalogiros is a Researcher at the Department of Informatics, Athens University of Economics and Business (AUEB). His work focuses on Technology Impact Assessment, Network Economics, and Trustworthiness Evaluation in socio-technical systems. He holds a PhD in Computer Science (AUEB, 2009), an M.Sc. in Information Systems (AUEB, 2003), and a B.Sc. in Computer Science (AUEB, 2002). His research integrates game theory, optimization, and economic models to address challenges in energy systems, smart grids, and internet architectures. He has contributed to major research projects such as NOBEL GRID (2015–2018), OPTET (2012–2015), and ETICS (2010–2012), focusing on business model evaluation, trustworthiness frameworks, and future internet design. His work emphasizes socioeconomic analysis, demand response optimization, and security protocols. Notable achievements include developing methodologies for cost-effective demand response campaigns and frameworks for end-to-end trustworthiness evaluation. He has also analyzed routing protocols and incentive mechanisms in VoIP systems through collaborations with institutions like GRNET and FP7 projects. His publications span journals, conferences, and books, addressing topics such as energy profitability, trust dynamics, and future internet tussles. His research bridges theoretical models with practical implementations, impacting both academic discourse and industry practices.

• Macroeconomics
• Political Economy
• Economic Growth
• +3 more

Jakob Grazzini serves as Professor in the Department of Economics at University of Pavia, specializing in Political Economy (Scientific Disciplinary Group 13/ECON-01). He teaches advanced macroeconomics courses for both Economics and Management programs, with a rigorous instructional schedule spanning multiple university buildings including Palazzo San Felice and Palazzo San Tommaso. His research program bridges theoretical macroeconomics with computational methodologies, focusing on economic growth dynamics, inflation expectations, and the structural evolution of economic networks. Professor Grazzini has developed expertise in Agent-Based Modeling techniques to examine how dispersed information and social networks influence aggregate economic behavior, providing novel insights beyond traditional DSGE frameworks. Analysis of his 15 most recent publications reveals a clear trajectory toward increasingly sophisticated computational approaches, with 70% incorporating agent-based methodologies. His work spans core macroeconomic questions from labor share dynamics to global value chain evolution, consistently addressing policy-relevant issues through innovative methodological lenses. While specific awards aren't documented in available materials, his publication record in premier journals including Journal of Monetary Economics, Economic Journal, and Journal of Economic Behavior & Organization demonstrates significant scholarly impact. His current teaching responsibilities for 2025 show active engagement with graduate and advanced undergraduate students in macroeconomic theory and applications.

Victoria Wenxin XieView profile

Assistant Professor

• Environmental Economics
• Urban Economics
• Trade
• +1 more

Victoria Wenxin Xie is an Assistant Professor at the Leavey School of Business, Santa Clara University , specializing in Environmental Economics, Urban Economics, Trade, and Development. Her work bridges econometric methods with spatial modeling to analyze climate change impacts and environmental policies. Education: PhD in Economics (University of California, San Diego, 2019), MPhil in Economics (University of Oxford, 2013), BBA in Global Business and Economics (HKUST, 2011) Her research focuses on climate change and environmental policies affecting labor markets, cities, and economic outcomes. She employs remote-sensing and interdisciplinary tools for sustainability studies. Recent work includes analyzing ICT’s role in empowering female workers in Vietnam and deforestation patterns linked to global mining. Publication Trends: Her articles (2022–2025) explore climate-related shocks (heat, floods, extreme weather), resource rents , labor dynamics , and sustainability challenges , with regional case studies in Brazil, Indonesia, and Vietnam. Contact: wxie@scu.edu | Phone: 408-554-3902 | Location: Santa Clara University, California

Gustavo SchwenklerView profile

Associate Professor

• Asset Pricing
• Econometrics
• Risk Management
• +3 more

Gustavo Schwenkler is an Associate Professor of Finance at Santa Clara University's Leavey School of Business. His research focuses on asset pricing, econometrics, risk management, and derivatives, with notable contributions to understanding systemic risk and financial networks. He holds a PhD in Management Science and Engineering from Stanford University (2013) and a diploma in Applied Mathematics and Economics from the University of Cologne. Educations: PhD in Management Science and Engineering, Stanford University, 2013 Master's Diploma in Applied Mathematics and Economics, University of Cologne Research Interests: Dr. Schwenkler explores how news and information shape financial markets, particularly in crypto markets and firm networks. He develops econometric models to analyze risk dynamics, default clustering, and systemic stability. His work bridges theoretical finance with practical applications in policy and risk management. Professional Roles: Associate Editor at Management Science , Journal of Business & Economic Statistics , and Digital Finance Board Member at Cointree and Indicia Labs Articles Trends: Recent studies emphasize crypto market dynamics, news-driven volatility, and systemic risk in financial networks. His 2020s work explores pandemic policy impacts and venture capital mechanisms, reflecting growing interest in real-world economic interventions and emerging financial instruments.

Yuri KalnishkanView profile

Associate Professor

• Machine Learning
• Prediction with Expert Advice
• Artificial Intelligence
• +3 more

Yuri Kalnishkan is a Reader in Computer Science at the Department of Computer Science, Royal Holloway, University of London. He is affiliated with the Centre for Machine Learning and the Centre for Reliable Machine Learning. His research focuses on machine learning, prediction with expert advice, and regression methods. He holds a visiting researcher position at the Moscow Institute of Physics and Technology. His work contributes to UN Sustainable Development Goals related to innovation and infrastructure. Key research areas include algorithmic prediction, online learning, and financial applications of machine learning. He has authored 47 research outputs and led two major projects: 'On-line Self-Tuning Learning Algorithms for Handling Historical Information' (Leverhulme Trust, 2013-2016) and 'PCP: Practical Competitive Prediction' (EPSRC, 2007-2010). His collaborations span international institutions and involve topics like portfolio optimization and equilibrium models. His recent articles explore practical investment strategies, portfolio hedging, and theoretical bounds in prediction algorithms. While no awards are explicitly listed, his extensive publication record reflects significant scholarly contribution. His research emphasizes adaptive learning systems and their real-world applications.

• Economics
• Econometrics
• Productivity Analysis
• +3 more

Ryan Marapin is a researcher at the University of Groningen's Faculty of Economics and Business, specializing in economic productivity analysis and international price comparisons. His work primarily focuses on sectoral productivity differences across countries and structural economic changes. His research interests center around economic productivity measurement, with particular emphasis on sectoral productivity differences , purchasing power parity , and structural economic changes . Marapin's work examines how productivity varies across sectors and countries, with applications to economic development and policy formulation. His research employs advanced econometric techniques to analyze large-scale economic data, particularly through the GGDC Productivity Level Database. Marapin's publications demonstrate consistent research output in high-impact venues including the IMF Economic Review and academic book chapters. His work shows a clear progression from analyzing price comparison inconsistencies (2022) to examining sectoral productivity differences (2023-2024) and now addressing productivity convergence through structural change (2025). His research contributes to UN Sustainable Development Goals, particularly those related to economic growth and development. Marapin frequently collaborates with Robert Inklaar and other researchers at the Groningen Growth and Development Centre. Marapin has contributed to significant datasets including the GGDC Productivity Level Database 2023 Edition and replication data for his research on sectoral productivity differences, which have been referenced in policy sources and widely downloaded by researchers globally.