جستجوی استاد راهنمای دانشگاهی

John C. Kuzenski is a Teaching Assistant Professor in Entrepreneurship at the Department of Management Innovation & Entrepreneurship, Poole College of Management, North Carolina State University. He joined the faculty in 2015, focusing on legal/regulatory frameworks in business and ethics. Prior to this, he spent 30 years in higher education as a professor and administrator, including roles at NC State's Department of Political Science. He also served as a divisional Assistant Director at the NC Department of Revenue and has extensive legal consulting experience with nonprofits. Education: J.D. with Honors (UNC Chapel Hill, 2005), Ph.D. (University of Georgia, 1993) Research interests include business law, regulatory environments, governance, and political dynamics. Key works explore undergraduate legal pedagogy, academic integrity, and historical analyses of Southern political figures like David Duke. His legal expertise spans state and federal courts, with bar admissions in NC, DC, and before the U.S. Supreme Court. Publications highlight interdisciplinary approaches to business law education and historical political studies. No formal awards are listed, but his consulting work demonstrates significant professional contributions. Advising and grants sections remain underdeveloped in available texts. He is affiliated with the Innovation and Entrepreneurship research group within MIE.

• Business Law
• Business Ethics
• Legal and Regulatory Environment
• +۳ مورد دیگر

Brandon Karchewski is an Associate Head (Undergraduate) and Teaching Professor in the Department of Earth, Energy and Environment at the University of Calgary. He earned his PhD in Civil Engineering from McMaster University and teaches courses including Engineering Geology, Computational Methods, and Natural Disasters. His research program focuses on: Computational methods in geophysics and geomechanics Geoscience education innovation Climate change impacts on frozen soils Inverse modeling applications Karchewski has pioneered virtual field experiences and developed open-source tools for modeling climate impacts on permafrost. His educational research examines metaphor use in geoscience communication and field pedagogy. Recent computational work includes Python-based permafrost modeling and stochastic inversion methods for biogeochemical transport. He leads the geophysics field school program emphasizing team-based learning. Award recognition includes: Geoscience Teaching Award (2019) Best Poster Award for teaching innovation research (2018) Team Teaching Excellence award (2016) Multiple teaching assistant awards

• Computational Geoscience
• Engineering Geology
• Natural Hazards
• +۲ مورد دیگر

Carolyn Buchwald is an Associate Professor in the Department of Oceanography at Dalhousie University, Faculty of Science. Her research focuses on marine biogeochemistry, particularly nitrogen cycling and stable isotope analysis. She leads the Buchwald Lab, exploring microbial processes and anthropogenic impacts on coastal and open ocean ecosystems. Education: SB in Earth, Atmospheric, and Planetary Sciences (MIT) and PhD in Chemical Oceanography (MIT/Woods Hole Oceanographic Institution Joint Program). She teaches courses including Chemical Oceanography (OCEA3002, OCEA5290) and Honours Research (OCEA4201/4202). Research interests include nitrogen transformation pathways, nitrate/nitrite isotope dynamics, and the role of microbes in nutrient cycling. Her work spans coastal systems to the Arctic and tropical oceans, addressing climate impacts and pollution effects. Publications highlight innovations in isotopic tracing, nitrification processes, and nitrogen loss mechanisms. Collaborations emphasize interdisciplinary approaches, integrating fieldwork, lab experiments, and modeling.

• Biogeochemistry
• Marine Chemistry
• Geochemistry
• +۴ مورد دیگر

Margarida Carvalho is an Associate Professor in the Department of Computer Science and Operations Research at Université de Montréal. She holds the FRQ–IVADO Research Chair in Data Science for Combinatorial Game Theory and was awarded the 2018 EURO Doctoral Dissertation Award. Her research integrates algorithmic game theory and integer programming to address strategic decision-making challenges in healthcare, urban planning, and sustainability. Education: Bachelor's and Master's in Mathematics PhD in Computer Science (Universidade do Porto, 2016) Postdoctoral Fellow at Polytechnique Montréal (2017) Research Interests: Algorithmic Game Theory and Combinatorial Optimization Applications in Kidney Exchange Programs, EV Infrastructure, and Urban Decision-Making Development of fair and scalable optimization frameworks Awards & Grants: FRQ–IVADO Research Chair (2018–present) Teaching Excellence Award (2024) Lead on projects funded by CRSNG, MITACS, and Fonds de recherche du Québec Lab & Collaborations: Member of CIRRELT, CRM, Mila, and the AI Cybersecurity Lab (talents). Her team focuses on interdisciplinary solutions for complex socio-economic systems.

• Algorithmic Game Theory
• Operations Research
• Combinatorial Optimization
• +۴ مورد دیگر

Rachel Ngai is a Professor of Economics at the London School of Economics and Political Science (LSE), affiliated with the Department of Economics. Her expertise spans Economic Growth, Labour Markets, and Housing Markets. She holds additional roles as a Research Fellow at the Centre for Economic Policy Research (CEPR) and Institute of Labor Economics (IZA), and serves as Theme Leader for Structural Transformation and Economic Growth (STEG) and a member of the Centre for Macroeconomics (CFM). Ngai earned her PhD in Economics from the University of Pennsylvania and a BSc from the Hong Kong University of Science and Technology. Her research focuses on structural transformation, wage dynamics, housing market volatility, and gender economics. Notable themes include the interplay between land reforms and mobility, tax/subsidy impacts on gender gaps, and historical shifts in labour participation patterns. Her academic contributions bridge theoretical macroeconomic frameworks with empirical policy analysis, addressing topics such as housing market cycles, inequality trends, and cross-country development dynamics. Teaching includes macroeconomics courses at the undergraduate and graduate levels.

• Economic Growth
• Labour Market Dynamics
• Housing Market Analysis
• +۳ مورد دیگر

Professor Daniele Condorelli is a faculty member in the Department of Economics at the University of Warwick. His research focuses on Microeconomic Theory, Networks and Platforms, and Mechanism Design. He holds a Professor title and is affiliated with the Department of Economics. His work explores topics such as consumer hold-up in ecosystems, data-driven envelopment, and surplus bounds in Cournot competition. His research interests span strategic models of intermediation networks, auction design, and information economics. Notable publications include studies on vertical mergers in digital ecosystems, privacy-policy impacts on data monetization, and optimal mechanism design for market efficiency. Recent articles highlight his contributions to understanding platform competition, resale networks, and algorithmic game theory. His work often intersects with antitrust policy, digital market governance, and incentive design in networked environments. Professor Condorelli advises students in economics and is involved in academic administration, offering office hours by appointment.

• Microeconomic Theory
• Networks and Platforms
• Mechanism Design
• +۳ مورد دیگر

Seamus O'Hara is a Researcher in the Department of Physics and Astronomy at the University of Pennsylvania. His research focuses on condensed matter experiment with particular emphasis on quasiparticle dynamics and interferometry techniques. O'Hara holds a B.S. in Physics and Mathematics from The Pennsylvania State University (2017) and a Ph.D. in Physics from The University of California, Santa Barbara (2023). B.S. Physics and Mathematics, The Pennsylvania State University (2017) Ph.D. Physics, University of California, Santa Barbara (2023) His experimental work explores driven quasiparticle systems through advanced interferometric methods, leveraging polarimetry and high-order sideband analysis to reconstruct quantum states and Hamiltonians in semiconductors like GaAs. Key areas include studying geometrical phases, dephasing mechanisms, and non-Abelian Berry curvature effects in strained materials. This research bridges theoretical predictions with experimental validation in quantum condensed matter systems. Recent publications emphasize advancements in Bloch wave interferometry techniques, temperature-dependent dephasing studies, and direct experimental measurements of Luttinger parameters through quasiparticle dynamics. These contributions advance understanding of nonequilibrium phenomena in solid-state systems.

• Condensed Matter Experiment
• Quantum Physics
• Condensed Matter Physics
• +۳ مورد دیگر

Ilkka Leppänen is an Assistant Professor (2nd term) at Aalto University's Department of Information and Service Management. His research focuses on behavioral operational research, game theory, and systems intelligence, with a particular emphasis on integrating psychophysiological methods to study decision-making processes in strategic interactions. Key research areas include emotional responses in negotiations, evolutionary stability of preferences in duopoly markets, and the application of systems thinking to complex organizational challenges. His work bridges theoretical models with empirical experiments, often employing psychophysiological measurements to understand human behavior in competitive and collaborative settings. Leppänen has contributed to advancements in behavioral OR through interdisciplinary studies, including the analysis of cooperation mechanisms in Stackelberg and Cournot games, as well as the design of educational platforms for operations management simulations. His research frequently addresses practical interventions to improve decision-making in real-world contexts. Notable collaborations include studies with Raimo P. Hämäläinen and Etiënne A.J.A. Rouwette, exploring topics such as strategic timing in duopolies and the impact of emotional states on economic interactions. His publications span prestigious journals like the European Journal of Operational Research and the Journal of Neuroscience, Psychology, and Economics.

• Operations Research
• Behavioral Economics
• Game Theory
• +۶ مورد دیگر

Anirban Chakraborti is a Professor at the School of Computational and Integrative Sciences, Jawaharlal Nehru University (JNU), New Delhi, India, where he has been a faculty member since 2014. He previously held academic positions at École Centrale Paris (France) as Chercheur Senior (Associate Professor) and Chargé de Recherche (Assistant Professor), and earlier roles at Banaras Hindu University, Brookhaven National Laboratory (USA), and Helsinki University of Technology (Finland). He is a leading figure in the interdisciplinary field of econophysics and complex systems. Education: Diplôme d’Habilitation à Diriger des Recherches (2013), Université Pierre et Marie Curie – Paris VI, France (Physics) Ph.D. in Physics (2003), Saha Institute of Nuclear Physics, Jadavpur University, India Post-M.Sc. in Physics (1999), Saha Institute of Nuclear Physics, Jadavpur University, India (Ranked First) M.Sc. in Physics (1998), University of Calcutta, India (Ranked First) B.Sc. in Physics (1996), Scottish Church College, University of Calcutta, India His research interests lie at the intersection of physics, economics, and data science. He is particularly known for pioneering work in econophysics , including the statistical mechanics of money, wealth distribution, agent-based market models, and network-based analysis of financial and social systems. He also works on complex systems , computational finance , statistical physics , and nanosciences , with applications in sensing and imaging. His work often involves modeling socio-economic phenomena using tools from statistical physics. His recent publications span topics such as financial fluctuations, wealth inequality, network analysis of conflicts, order book dynamics, and nanomaterial characterization. These works reflect a strong trend toward interdisciplinary research combining physics, economics, and data analytics, with a focus on real-world applications in finance, inequality, and social systems. Scientific Awards: Indian National Science Academy Young Scientist Medal (2009) He has advised Ph.D. students such as Kiran Sharma and leads the ETC (Experimental-Theoretical-Computational) Lab at JNU, which brings together physicists, computer scientists, and mathematicians. The lab has been involved in international collaborations, including projects funded by the Estonian Ministry of Education and Research and consultancies with TCS Innovation Labs and DONO Consulting. His research has been supported through grants and collaborative projects, reflecting strong industry and global academic engagement.

• Econophysics
• Sociophysics
• Complex Systems
• +۱۴ مورد دیگر

Mogens Fosgerau is a Professor in the Department of Technology, Management and Economics at the Technical University of Denmark (DTU), where he conducts research in transport policy and transportation science. His work spans econometrics, travel behavior modeling, and transport economics, contributing to sustainable urban mobility and policy design. Institution: Technical University of Denmark Department: Department of Technology, Management and Economics Email: mogens.fosgerau@econ.ku.dk ORCID: https://orcid.org/0000-0002-6452-5215 His research focuses on discrete choice modeling, travel time valuation, scheduling preferences, and congestion pricing. He develops theoretical and empirical models to understand how individuals make travel decisions under uncertainty and how these behaviors affect urban transport systems. His work integrates economic theory with data-driven methods, often using large-scale datasets and advanced econometric techniques. The recent trend in his publications highlights innovations in perturbed utility models for route choice, stochastic traffic assignment, and the analysis of induced demand for cycling. His research bridges transportation science, behavioral economics, and operations research, with applications in urban planning and policy evaluation. Scientific awards received include: The International Choice Modeling Conference (ICMC) award for Most Innovative Application (2022) Best Overall Paper Award, ITEA Conference (2015) Best Paper Awards from BIVEC-GIVET (2007), Kuhmo-Nectar (2008) Hedorfs Fonds Pris for Transportforskning (2011) Mogens Fosgerau has supervised PhD students such as Fentie Abegaz and has been involved in multiple externally funded research projects, including URBAN (Innovation Fund Denmark), IRUC (Danish Council for Strategic Research), and Horizon 2020 initiatives. He has also served on review panels, including for the Norwegian Research Council, and contributed to peer review and editorial duties. He is actively engaged in research networks and has presented his work at international conferences. His projects often involve interdisciplinary collaboration with researchers in economics, engineering, and urban planning.

• Transport Economics
• Discrete Choice Modeling
• Travel Behavior
• +۷ مورد دیگر

Pedro Gardete is a Professor of Marketing at Nova School of Business and Economics (Nova SBE), where he also serves as President of the Scientific Council. He is an active researcher in quantitative marketing, focusing on consumer behavior, pricing, advertising, and data-driven strategies. Prior to joining Nova SBE in 2020, he was a faculty member at Stanford Graduate School of Business from 2011 to 2019. Education: Ph.D. in Business Administration (Marketing), University of California, Berkeley (2011) M.Sc. in Economics, magna cum laude, Catholic University of Portugal (2007) B.A. in Business Administration, Catholic University of Portugal (2003) His research lies at the intersection of marketing, economics, and data science. He investigates how information shapes market outcomes, with a focus on pricing strategies, advertising credibility, privacy policies, and consumer search behavior. His work often combines empirical analysis, game theory, and field data to inform both academic theory and business practice. The recent publications highlight a consistent trend in understanding strategic communication, information design, and consumer decision-making under uncertainty. His work spans domains such as retail, aviation, digital advertising, and technology markets, demonstrating methodological rigor and practical relevance. He frequently publishes in top-tier journals like Marketing Science and Management Science . Scientific Awards: No awards explicitly mentioned in the text. Professor Gardete actively contributes to academic leadership and education. He is involved in organizing the 2026 INFORMS Marketing Science Conference and shares teaching materials, including PhD-level econometrics notes and a data analytics simulation tool. While no formal students are listed, his role at Nova SBE and Stanford suggests an active mentorship and advising capacity. He has collaborated with leading scholars across institutions, reflecting strong academic engagement. His research has practical implications for firms in pricing, advertising, and data strategy. Labs and Teams: While no formal lab is named, his research involves collaboration with interdisciplinary teams and engagement with industry partners in semiconductor, aviation, and retail sectors. His leadership in the Scientific Council at Nova SBE indicates institutional influence and academic governance involvement.

• Quantitative Marketing
• Consumer Behavior
• Marketing Strategy
• +۷ مورد دیگر

Cecilio Tamarit is a Professor of Applied Economics at the University of Valencia, where he holds a Jean Monnet Chair and coordinates the Research Group on Economic Integration (INTECO). He is also Vice President of the Free Association of Economics (ALDE) and President of the Economics Committee of the National Commission for the Evaluation of Research Activity (CNEAI). Master's in Economics, College of Europe (Bruges) Extraordinary Doctorate Award, University of Valencia (1992) Schuman Scholar, European Parliament (1988) Visiting Scholar, University of Nottingham (1992) Senior Fellow, Wharton School, University of Pennsylvania (1996) His research focuses on applied economics, macroeconomics, and European economic integration, with strong emphasis on modeling and policy analysis. He has contributed extensively to understanding economic convergence, fiscal policy, and international trade dynamics within the EU framework. The 15 most recent publications reflect a consistent focus on empirical and policy-oriented economics, spanning macroeconomic modeling, international trade, public policy, and financial economics. His work frequently appears in high-impact journals, demonstrating sustained scholarly engagement in applied economic research. Scientific Awards: Extraordinary Doctorate Award in 1992 from the University of Valencia He has advised numerous research projects and led major evaluation initiatives in economic research. While specific grants are not listed, his leadership roles in national evaluation bodies and research groups suggest significant involvement in funded research and policy advising. He has directed the European Documentation Center at the University of Valencia and served as an advisor to the Spanish government. He leads the INTECO research group, focusing on economic integration and policy modeling, contributing to both academic and policy debates in European economics.

• Applied Economics
• Economic Integration
• Macroeconomics
• +۴ مورد دیگر

Michael A. Lieberman is a Professor in the Graduate School at the Department of Electrical Engineering and Computer Sciences, University of California, Berkeley. He joined UC Berkeley in 1966 and has received numerous accolades, including the Distinguished Teaching Award (1971) and Guggenheim Fellowship (1972-1973). His research focuses on low-temperature plasma physics and chemistry, particularly plasma-assisted materials processing, capacitive/inductive discharges, and nonlinear plasma dynamics. Education: Ph.D., Electrical Engineering, Massachusetts Institute of Technology (1966) B.S./M.S., Electrical Engineering, Massachusetts Institute of Technology (1962) Research Interests: Prof. Lieberman's work bridges fundamental plasma theory and industrial applications. Key areas include: Modeling of electromagnetic effects in capacitive discharges Hybrid analytical/numerical simulations of plasma processes Nonlinear wave phenomena in RF plasmas Plasma-material interactions for semiconductor fabrication Development of global models for atmospheric-pressure discharges Current projects (2018-2019) involve 2D fluid-analytical simulations, high-pressure discharge modeling, and particle-in-cell methods. Publications Focus: Recent articles emphasize computational plasma physics, including PIC simulations of transport phenomena, sheath dynamics in electronegative plasmas, and resonance effects in RF heating. His work consistently advances predictive modeling for industrial plasma applications. Awards & Honors: AVS Plasma Science Prize (2022) NPSS Marie Curie Award (2020) Will Allis Prize (2006) Von Engel Prize (2005) IEEE Plasma Science Award (1995) Fellowships: APS, AAAS, IEEE, AVS, IPCS, IOP Collaborations & Support: Collaborates extensively with Prof. A.J. Lichtenberg (nonlinear dynamics/plasma textbooks). Research funded by DOE Office of Fusion Energy Sciences and Applied Materials/Display (AKT). Maintains active international partnerships in plasma diagnostics and simulation.

• Plasma Physics
• Plasma Chemistry
• Materials Processing
• +۳ مورد دیگر

Ed Grant is a Professor in the Department of Chemistry at the University of British Columbia (UBC), Faculty of Science. He leads research in chemical physics, focusing on laser spectroscopy, ultracold plasmas, and Raman spectroscopy. B.A., 1969, Occidental College Ph.D., 1974, University of California, Davis Research Interests: Grant's work spans fundamental and applied domains. His team investigates ultracold plasmas using molecular beam techniques, revealing Coulombic interactions and strong correlations. In Raman spectroscopy, they develop instruments for microscale biological sample analysis and employ multivariate classification. Recent projects integrate quantum computing, machine learning, and environmental science (e.g., microplastics' atmospheric impact). Scientific Awards: R&D 100 Award (1998) Fellow of the American Physical Society (1992) Humboldt Research Award (1992, 2012) Kelly Award for Excellence in Undergraduate Teaching (1990) Fulbright Senior Scholar (1988)

• Chemical Physics
• Laser Spectroscopy
• Ultracold Plasmas
• +۴ مورد دیگر

Halvor Mehlum is a Professor in the Department of Economics at the University of Oslo, specializing in macroeconomics, development economics, economics of conflict, and crime . He has held academic positions since 1994, including Research Fellow (1994–1998), Researcher at the Frisch Centre (1999–2002), and Associate Professor (2002–2006) before becoming a full Professor in 2006. He also serves as Deputy Head of the Department of Economics (2016–present) and Deputy Leader of the Centre of Equality, Social Organization, and Performance (ESOP). Education: Cand. oecon (1992), Dr. polit (1999) from the University of Oslo; Visiting Scholar at the New School of Social Research (1996). Research Focus: Macroeconomics with applications to conflict dynamics, crime, development, and political economy. Recent articles explore topics like social capital, land redistribution, crime-protection dynamics, and pandemic economics. Leadership Roles: Board member at the Frisch Centre, Center for Development and Environment (SUM), and Executive Committee of the European Development Research Network (EUDN). Co-editor of the Nordic Journal of Political Economy.

• Macroeconomics
• Development Economics
• Economics of Conflict
• +۱ مورد دیگر