جستجوی استاد راهنمای دانشگاهی

Alcino Azevedoمشاهده پروفایل

دانشیار

• Real Options Analysis
• Risk Management
• Corporate Finance
• +۷ مورد دیگر

Alcino Azevedo is an Associate Professor of Finance at Aston Business School, University of Aston. He serves as Research Director of the Economics, Finance and Entrepreneurship Department. Previously, he held roles at Alliance Manchester Business School and Hull University Business School, where he led the MSc Financial Management program. His academic background includes a PhD in Investments under Uncertainty and Competition from the University of Manchester (2009), an MSc in Finance from Universidade Católica Portuguesa, and an Engineering degree from Universidade do Minho. He combines academic rigor with industry experience from roles in manufacturing management. His research focuses on real options analysis, strategic investment timing under uncertainty, and risk management in financial markets. He has published in top journals like the Journal of Financial Economics and European Journal of Operational Research , and frequently presents at conferences such as the Financial Management Association and Real Options conferences. His work addresses topics like voluntary delisting strategies, wind farm location optimization, and derivatives effectiveness in firm value creation. He is also active in reviewing for high-impact journals including the RAND Journal of Economics and Journal of Economic Dynamics and Control . Teaching responsibilities include modules on Advanced Corporate Finance and Derivatives. He actively supervises PhD students in real options, risk management, and corporate finance. His research extends to energy economics, corporate governance impacts on hedging decisions, and policy analysis for renewable energy investments.

Bruce Jacobمشاهده پروفایل

استاد

• Memory Systems
• Computer Architecture
• Memory Devices
• +۷ مورد دیگر

Bruce Jacob is a Professor in the Cyber Science Department within the School of Engineering, Computing, and Weapons at the United States Naval Academy, where he joined in Fall 2022. Prior to USNA, he served as a professor of Electrical & Computer Engineering at the University of Maryland for 25 years, establishing himself as a leading expert in memory systems and computer architecture. Dr. Jacob received his A.B. in Mathematics from Harvard in 1988 and his Ph.D. in Computer Science & Engineering from The University of Michigan in 1997. Before graduate school, he worked in Boston start-ups as a software engineer at Boston Technology and later as chief engineer and system architect at Priority Call Management, which was successfully acquired in the late 1990s. His research focuses on memory systems, computer architecture, and memory devices, with significant contributions to memory system design across industry and government sectors. Jacob has designed computer-system architectures and memory-system architectures for major organizations including Micron (Hybrid Memory Cube DRAM architecture), Cray (Black Widow memory system), Northrop Grumman (experimental ultra-low-power datacenter), and the European Commission (1024-core Teraflux chip). His work spans resistive memory systems, non-volatile memory, memory simulation, and hardware security. His publication record demonstrates consistent leadership in memory systems research, with recent work focusing on ReRAM development, trusted execution environments for in-storage computing, and advanced memory simulation techniques. His research shows a clear trajectory toward monolithic memory integration, 3D stacking, and addressing the semantic gap between software and memory systems. Fellow of the IEEE Patent in memory-systems design Three patents in electric guitar circuit design Featured in Washington Post, Los Angeles Times, Chronicle of Higher Education, and NPR for guitar-related innovations Jacob has written two textbooks on computer memory systems and numerous articles spanning memory systems, computer design, embedded systems, operating system design, and even ventured into astrophysics and algorithmic composition. His DRAMsim memory simulator has become an industry standard tool. His practical industry experience complements his academic work, having consulted for major technology companies on memory system design challenges.

Mike Burtonمشاهده پروفایل

استاد

• Volcanology
• Geochemistry
• Remote Sensing
• +۵ مورد دیگر

Mike Burton is a Professor and Chair in Volcanology at the University of Manchester's Earth and Environmental Sciences department. His research focuses on volcanic processes, gas emissions, and eruption forecasting, with emphasis on remote sensing and numerical modeling. He collaborates closely with volcano observatories to improve monitoring techniques. Key areas include magma dynamics, degassing processes, and the impact of volcanic activity on climate. Recent work includes studies on the 2021 Cumbre Vieja eruption (La Palma), Fagradalsfjall (Iceland), and Soufrière Hills (Montserrat). His projects involve advanced remote sensing technologies and satellite data analysis to quantify gas emissions and eruption dynamics. Burton has been a Principal Investigator in major initiatives like the EUROVOLC network and CarbSens remote sensing system development. Publications highlight contributions to understanding magma degassing, volcanic plumes, and the role of volatiles in eruptions. His interdisciplinary approach integrates field observations, lab experiments, and computational models to address global volcanic hazards and climate interactions. Media engagements include expert commentary on recent eruptions worldwide.

Jie Liمشاهده پروفایل

استاد

• Mineral Physics
• Geochemistry
• Petrology
• +۳ مورد دیگر

Jie Li is the Rodney C. Ewing Collegiate Professor of Earth and Planetary Sciences and Professor of Earth and Environmental Sciences at the University of Michigan. She holds a Ph.D. in Earth and Planetary Sciences (Harvard University, 1998) and an M.A. in Geophysics (Harvard University, 1997). Her research focuses on Earth and planetary materials under extreme conditions, leveraging high-pressure techniques like diamond-anvil cells and synchrotron facilities. Key interests include terrestrial planet evolution, core composition, and dynamics of planetary interiors. Recent studies explore light elements in Earth’s core, Mercury’s magnetic field origin, and early Earth crust formation. Her work bridges experimental geochemistry, mineral physics, and computational modeling to understand planetary interiors. Notable contributions include pioneering studies on iron spin states in the lower mantle and the role of metallic melts in mantle dynamics. She collaborates globally, advancing methodologies for high-pressure experiments. Her research has been featured in outlets like Mashable India , highlighting her insights on Earth’s core dynamics and planetary science. Li’s lab emphasizes interdisciplinary approaches to unraveling the origins of planetary materials and their evolution over geological time.

Daniela Castro Camiloمشاهده پروفایل

مدرس ارشد

• Extreme Value Theory
• Environmental Risk Analysis
• Spatial Statistics
• +۳ مورد دیگر

Dr. Daniela Castro Camilo is a Senior Lecturer in Statistics at the University of Glasgow's School of Mathematics & Statistics. Her research focuses on extreme value theory applied to environmental hazards, including landslides, climate extremes, and risk assessment. She leads projects like the Mitigating Landslides Impacts in Scotland (MLIS) and Geostatistical Binary Models for Extremes (GEOBEx) , funded by the Scottish Government and EPSRC. She collaborates with institutions such as the British Geological Survey and the Met Office. Her work bridges statistical methodology and environmental applications, with notable contributions to landslide hazard modeling and spatial extremes. She actively participates in international conferences and organizes events like the ESS-sponsored session at the 2024 RSS Conference. She is a core member of GLE²N (Glasgow-Edinburgh Extremes Network), fostering interdisciplinary research in statistical risk analysis. Recent projects include developing probabilistic forecasting tools for weather-driven faults in electricity networks and advancing Bayesian methods for extreme event prediction. Her research emphasizes practical solutions for resilience to environmental disasters, combining cutting-edge statistical techniques with real-world data challenges.

Joseph G. Altonjiمشاهده پروفایل

استاد

• Labor Economics
• Applied Econometrics
• Labor Market Fluctuations
• +۱۰ مورد دیگر

Joseph G. Altonji is the Thomas DeWitt Cuyler Professor of Economics at Yale University and a Research Associate at the National Bureau of Economic Research (NBER). He previously held faculty positions at Columbia University and Northwestern University, and served as a visiting professor at Princeton and Harvard. His academic affiliations include memberships in the Econometric Society, the American Academy of Arts and Sciences, and the Society of Labor Economists (past president). He received the IZA Prize in Labor Economics (2018) and has advised numerous federal and academic bodies, including the Federal Reserve Bank of Chicago and the President’s Council of Advisors on Science and Technology. Altonji’s research focuses on labor economics, applied econometrics, and inequality dynamics. Key areas include labor market fluctuations, education economics, family income dynamics, and wage determination. Current projects address school choice impacts on inequality, graduate degree returns, and the interplay between marriage, earnings, and family income. His methodological contributions include techniques to address selection bias in observational studies, particularly in evaluating school and neighborhood effects. Publications highlight trends in advanced degree returns, decomposition of earnings into wage and hours effects, and analyses of pandemic-era labor market shifts. His work often bridges econometric rigor with policy relevance, emphasizing empirical strategies to isolate causal effects. Altonji’s advisory roles reflect his engagement with real-world economic challenges, from STEM education to unemployment insurance policy design.

Enrique G. Mendozaمشاهده پروفایل

استاد

• International Macroeconomics
• Macroprudential Regulation
• Financial Crises
• +۳ مورد دیگر

Enrique G. Mendoza is a Professor of Economics at the University of Pennsylvania's Department of Economics, housed within the School of Arts and Sciences. Previously, he held the Neil Moskowitz Professorship at the University of Maryland and taught at Duke University. He has extensive experience with international organizations including the IMF and Federal Reserve, and has served as a visiting scholar globally. He earned his Ph.D. (1989) and M.A. (1986) from the University of Western Ontario and a B.A. (1985) from Anahuac University, Mexico City. His research focuses on international macroeconomics, macroprudential regulation, financial crises, and fiscal policy. Key themes include sovereign debt dynamics, global liquidity imbalances, and the impacts of globalization. Recent work examines mechanisms like capital controls and their side effects, as well as modeling approaches to open-economy instability. Mendoza's research underscores the interconnectedness of global economic systems, emphasizing policy frameworks for emerging markets. His articles consistently address systemic risks and policy design in volatile environments. He has advised international institutions and contributed to policy debates on financial stability and debt sustainability. His work bridges theoretical models with real-world policy challenges, particularly in managing crises and optimizing regulatory frameworks.

• Agricultural Economics
• Food Security Policy
• Development Economics
• +۷ مورد دیگر

William Burke is an Associate Professor in the Department of Agricultural, Food, and Resource Economics at Michigan State University (MSU), affiliated with the College of Agriculture & Natural Resources. His research focuses on agricultural policy, food security, and poverty dynamics in Africa, with extensive fieldwork in Zambia, Malawi, and The Gambia. He holds an MSc and PhD from MSU (2009, 2012), following Peace Corps service in The Gambia (2001–2003). Burke’s work includes analyzing fertilizer subsidies, soil management, and gender disparities in resource access. He has held roles at Stanford University and consultancies with organizations like the MwAPATA Institute in Malawi. Research interests include poverty dynamics, sustainable intensification, and cost-benefit analysis of agricultural policies. He contributes to multivariate statistical methods, notably developing the 'craggit' package in Stata. Awards include the 2017 Bruce Gardner Memorial Prize for policy analysis and recognition for top-cited papers in Agricultural Economics. Burke advises the Food Tank Board and serves on The African Journal of Agricultural and Resource Economics editorial board. Educations: PhD & MSc in Agricultural Economics (MSU, 2012 & 2009) Awards: Multiple accolades for policy research and academic contributions Labs/Initiatives: Innovation Lab for Food Security Policy, MwAPATA Institute collaboration His recent work addresses climate impacts on Malawi’s agriculture, fertilizer price volatility, and gender gaps in land access. Teaching includes multivariate statistics and survey design at MSU, Stanford, and the University of Zambia.

Marc Paolellaمشاهده پروفایل

استاد

• Financial Econometrics
• Time Series Analysis
• Portfolio Optimization
• +۴ مورد دیگر

Marc Paolella is a Full Professor of Empirical Finance at the University of Zurich's Department of Finance. His academic journey includes roles as Associate Professor (2003–2006) and Assistant Professor (1999–2003) at Kiel University and visiting positions at the University of Geneva. He holds a Dr. sc. pol. (1998) and Habilitation (2002) from Kiel University, alongside degrees from SUNY Stony Brook and Colorado State University. His research focuses on financial econometrics, emphasizing portfolio optimization, risk prediction, and saddlepoint approximation theory. He has authored four textbooks, including works on probability theory, statistical inference, and GARCH models. Over 50 journal articles span leading venues like the Journal of Econometrics and Journal of Financial Econometrics. Paolella's contributions include developing methods like CHICAGO for portfolio risk calculation and the COMFORT model for non-Gaussian returns. He serves as Editor-in-Chief of the journal Econometrics and holds editorial roles at multiple journals. Awards include the Elected Fellowship at the IETI and recognition for impactful research. His teaching spans advanced courses in financial econometrics, probability theory, and mathematical finance. He has supervised numerous theses and leads the Quantitative Finance program at the Science ETH UZH. Research grants include Swiss National Science Foundation funding for portfolio optimization under non-elliptical distributions.

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

Dr. Jacob Wong is a Lecturer in the School of Economics and Public Policy at the University of Adelaide, affiliated with the Faculty of Arts, Business, Law and Economics. His research focuses on macroeconomics, with specializations in labor markets, monetary policy, and structural econometric modeling. He holds a position in the Department of Economics and is actively involved in supervising PhD and Master’s students. Contact details include email jacob.wong@adelaide.edu.au and phone 83135500 at Nexus 10, North Terrace campus. Research Interests: Dr. Wong’s work explores labor market dynamics, wage determination mechanisms, and the strategic interactions in wage posting models. He also investigates transparency in monetary policy, information asymmetry in macroeconomic decision-making, and the implications of policy announcements on economic behavior. Supervision: He has co-supervised over 15 PhD candidates and one Master’s student since 2007, covering topics such as structural macroeconomic modeling, labor market volatility, climate change impacts on agriculture, and business cycle fluctuations. Notable supervisees include Mr. Francesco Roncone (PhD, 2020–2024) and Dr. David John Hoey (PhD, 2008–2016). No scientific awards or grants are explicitly listed in his profile, though his research contributions are evidenced through publications in journals like the Review of Economic Dynamics and the Canadian Journal of Economics .

• Financial Econometrics
• Volatility Modeling
• Time Series Analysis
• +۴ مورد دیگر

Andrew J. Patton is a Professor in the Department of Economics at Duke University's Trinity College of Arts & Sciences, with a secondary affiliation at Singapore Management University's School of Economics. His office is located at 213 Social Sciences Building, Box 90097, Durham, NC 27708-0204, United States, and his professional website is available at http://econ.duke.edu/~ap172/. Dr. Patton's research focuses on financial econometrics, with particular expertise in volatility modeling, high-frequency data analysis, and dependence structures in financial markets. His work spans several key areas including realized variance methods, copula modeling for financial time series, risk management techniques, and forecast evaluation methodologies. He has made significant contributions to understanding market microstructure, hedge fund risk exposures, and the dynamics of financial correlations. His publication record demonstrates consistent output in top finance and econometrics journals, with recent work exploring machine learning applications in volatility forecasting, granular risk measures, and the impact of high-frequency data on asset pricing models. The research shows a clear trajectory toward increasingly sophisticated modeling of financial dependencies and risk structures. Dr. Patton has received recognition for his scholarly contributions, ranking among SSRN's top 1,427 authors by total paper downloads and top 1,090 by total paper citations. His work is frequently cited in the field of financial econometrics, indicating substantial influence on contemporary research. He maintains active research collaborations with leading economists including Tim Bollerslev, Kevin Sheppard, Tarun Ramadorai, and Robert Engle, among others. These collaborations span multiple institutions and have produced influential work on volatility modeling, risk measurement, and financial market dynamics.

• Financial Economics
• Momentum Investing
• Corporate Bonds
• +۵ مورد دیگر

Valentina Galvani is a Professor and Chair of the Economics Department at the University of Alberta's Faculty of Arts. She holds a Ph.D. in Economics from Purdue University (2005), an MSc in Economics (2003), a Doctoral Degree in Mathematical Finance (2002) from the University of Brescia (Italy), and a Laurea (BS+MS) in Mathematics. Her research focuses on financial markets microstructure, energy economics, and corporate bond markets, with a strong emphasis on momentum investing and data-driven industry collaborations. Dr. Galvani has led MITACS-accelerated research projects with Alberta's banking sector since 2013, applying machine learning and model development to commercial finance challenges. Her early work included foundational contributions to general equilibrium theory in infinite-dimensional asset markets (Lp spaces). She joined the University of Alberta in 2005 and assumed the Chair position in 2022. Her research interests span financial economics, including market-state effects, corporate bond predictability, and energy market dynamics. Recent work addresses geopolitical conflicts' impact on oil markets, U.S. strategic petroleum reserves, and Saudi Arabia's competitive positioning under sanctions. She teaches graduate-level directed research and undergraduate courses in labor economics and personnel economics. Dr. Galvani's MITACS collaborations span 12 consecutive years (2013–2024), reflecting her industry engagement. While no specific awards are listed, her extensive publication record and leadership roles highlight her academic impact. She advises on energy diversification, market liquidity, and policy interventions in financial systems.

Edvard P.G. Bruunمشاهده پروفایل

استادیار

• Robotic Automation
• Computational Structural Design
• Material Circularity
• +۳ مورد دیگر

Dr. Edvard P.G. Bruun is an Assistant Professor in the School of Civil and Environmental Engineering at Georgia Tech, specializing in robotic automation for assembling and disassembling large-scale building components. His research develops computational methods for geometrically complex structures requiring robotic fabrication. Education includes: PhD in Civil and Environmental Engineering, Princeton University (2024) MASc in Civil Engineering, University of Toronto (2017) BASc in Civil Engineering, University of Toronto (2015) Research focuses on leveraging cooperative multi-robot systems for construction automation and material circularity. Current projects include scaffold-free robotic assembly techniques, reusable timber structures, and digital workflows for masonry vaulting. Recent publications demonstrate innovations in robotic construction methods and financial risk modeling, with applications spanning sustainable architecture and structural engineering. Scientific awards: Charlotte Elizabeth Procter Fellowship (2023) O.H. Ammann Research Fellowship (2023) Architect Magazine R+D Award (2021) Princeton Catalysis Initiative Award (2020) NSERC Alexander Graham Bell Scholarship (2019) Leads the Bruun Automation Research Lab and supervises graduate students including Chisung Kim. Secured funding from NSF, ASCE, and institutional grants for projects on robotic fabrication and sustainable construction.

Pezhman Ahmadiمشاهده پروفایل

پژوهشگر ارشد

• Carbon Capture and Storage (CCUS)
• Thermophysical Properties
• Phase Behavior Modeling
• +۳ مورد دیگر

Pezhman Ahmadi is a Research Fellow at the University of Heriot-Watt's School of Energy, Geoscience, Infrastructure and Society within the Institute for GeoEnergy Engineering. His work focuses on thermophysical properties of CO₂-rich systems, phase behavior modeling, and carbon capture and storage (CCUS) technologies. He contributes to UN Sustainable Development Goals related to affordable and clean energy (SDG 7) and climate action (SDG 13). Research interests include impurity effects on CO₂ systems, high-pressure fluid properties, and experimental validations of thermodynamic models. Recent projects involve bubble point analysis in CO₂-H₂ mixtures, viscosity measurements of hydrogen-methane blends, and vapor-liquid equilibrium studies in hydrocarbon systems. His work integrates both experimental data collection and computational modeling to advance CCUS applications. Awarded the Adrian Todd Golden Key Student Fund in 2016, Ahmadi collaborates on industry projects such as phase behavior of CO₂-volatile organic compounds and hydrogen production via waste heat valorization. He actively contributes to joint industry projects (JIPs) addressing challenges in CO₂ gas hydrate prediction, methane blends, and subsea fluid systems. Labs and teams: Affiliated with the Institute for GeoEnergy Engineering, focusing on geoenergy systems and sustainable energy solutions.

Keith Cuthbertsonمشاهده پروفایل

مدرس

• Fund Management
• Hedge Funds
• Fund Performance
• +۳ مورد دیگر

Keith Cuthbertson is a Special Lecturer at Bayes Business School, City, University of London. He holds a BSc in Physics and Mathematics from the University of Sussex and an MA in Economics from the University of Manchester. His professional experience includes roles at H.M. Treasury, Bank of England, National Institute of Economic and Social Research (NIESR), Imperial College London, and visiting positions at the Federal Reserve Bank (Washington), Freie University (Berlin), and University of Bordeaux. His research focuses on investment fund performance, behavioral finance, and risk management. Key areas include: (1) Measurement and persistence of mutual fund performance, (2) Statistical methods to distinguish skill from luck in fund management, (3) Factor models for portfolio optimization, and (4) Market timing strategies in equity and bond funds. His work emphasizes practical applications for investors and regulators. Recent publications (2016–2023) demonstrate a consistent focus on fund performance analytics, with evolving emphasis on factor models, portfolio size effects, nonparametric methods, and sustainability-linked finance. His research frequently combines academic rigor with practitioner-oriented insights. PhD Supervision: Elisa Pazaj (2015–present): Topics in Financial Markets Niall O'Sullivan (2006–2009): Performance of Mutual Funds Consultancy: Extensive work with Centrica, Towers Perrin, RBS, Department of Energy and Climate Change (DECC), and other financial/government institutions. Focuses on applied finance, derivatives, and risk management solutions.