جستجوی استاد راهنمای دانشگاهی

• Economic Development
• Monetary Economics
• Macroeconomics
• +۳ مورد دیگر

Aubhik Khan is a Professor in the Department of Economics at The Ohio State University, a position he has held since 2008. Prior to joining Ohio State, he served as an Assistant Professor at the University of Virginia and as a Senior Economic Advisor at the Federal Reserve Bank of Philadelphia, with additional visiting positions at the Federal Reserve Banks of Cleveland and Minneapolis. Education: Ph.D. in Economics, University of Pennsylvania, August 1993 Dr. Khan's research centers on Quantitative Business Cycle Theory , Applied Monetary Economics , and Development Economics , with significant contributions to understanding financial development, discrete firm/household choice implications, optimal monetary policy, segmented asset markets in monetary economies, and dynamic stochastic general equilibrium models with borrowing constraints. His work bridges theoretical frameworks with empirical applications in macroeconomic stability and growth, published in premier journals including The American Economic Review , Econometrica , The Review of Economic Studies , and The Journal of Monetary Economics . As co-editor of The Berkeley Electronic Journal of Macroeconomics , he influences scholarly discourse in his field. The available text indicates no scientific awards, student advising activities, grant funding details, laboratory affiliations, or team leadership roles.

Domenico Moroمشاهده پروفایل

استادیار

• International Macroeconomics
• Financial Markets
• Economics of the Third Sector
• +۱ مورد دیگر

Domenico Moro is an Assistant Professor in Economics at the Department of Economics, Birmingham Business School, University of Birmingham. He serves as First Year Group Tutor for UG Programmes and Admissions Tutor for the BSc Economics with Languages Programme. PhD in Economics, University of Warwick D.Phil in Economics and Law, Università di Bologna, Italy MSc in Economics, University of Warwick BSc in Economics and Finance, Università Cattolica del Sacro Cuore, Piacenza, Italy His research focuses on the economic impact of third sector organisations in the UK, health economics , and international macroeconomics . He has contributed to methodological debates in social return on investment (SROI) and economic evaluation in healthcare. Recent publications analyze discrete choice experiments in pharmacoeconomics, marketization of the third sector , and cost-effectiveness in rare disease treatments . While no formal scientific awards are listed, his work bridges quantitative analysis with policy-relevant studies in public finance and social welfare. He previously held research roles at the Third Sector Research Centre (University of Birmingham) and Warwick Medical School, where he worked on pharmaceutical economics and decision analysis . No advisees are mentioned in the provided texts.

Frank Lupiمشاهده پروفایل

استاد

• Environmental and Resource Economics
• Ecosystem Services
• Conservation Economics
• +۵ مورد دیگر

Professor Frank Lupi holds a joint tenure system appointment in the Department of Agricultural, Food, and Resource Economics and the Department of Fisheries and Wildlife at Michigan State University . He is affiliated with the Partnership for Ecosystem Research and Management , the Center for Systems Integration and Sustainability , the Water Science Network , and the Environmental Science and Policy Program . His research focuses on the economics of ecosystem services, conservation, agriculture, fisheries, wildlife, and water resources. Ph.D. , Applied Economics, University of Minnesota (1997) M.S. , Agricultural Economics, University of Illinois (1988) B.S. , Economics, University of Illinois (1986) Professor Lupi’s research interests span recreational demand and valuation , discrete choice modeling , stated preference methods , and applied welfare economics . His work emphasizes quantifying the value of ecosystem services through empirical studies on nutrient pollution, water sustainability, and recreational activities. Recent publications focus on phosphorus management in the Great Lakes, beachgoer preferences for water quality, wildfire risk impacts on recreation, and conservation cost-benefit analyses. These studies intersect disciplines like agricultural economics , ecological economics , and public policy . Awarded the William J. Beal Outstanding Faculty Award in 2018, Professor Lupi has secured grants from institutions including the NSF , EPA , and NOAA . His advisory roles and collaborations with interdisciplinary teams underscore his impact on environmental and resource economics.

• Transportation Engineering
• Data Science
• Urban Planning
• +۴ مورد دیگر

S. van Cranenburgh is a researcher at the Delft University of Technology in the College of Technology, Policy and Management , specializing in the Transport and Logistics department. Their work bridges transportation engineering, data science, and urban analytics through innovative methodologies in machine learning and spatial-temporal modeling. Research Focus Transportation behavior modeling (e.g., residential location choice). Advanced collision risk prediction using naturalistic driving data. Integration of computer vision and discrete choice models. Psychological impacts of urban noise pollution on health. Proactive risk learning from large-scale driving datasets. Collective perception in historic urban landscapes. Recent Work Trends Their publications from 2025 emphasize deep learning applications in transportation safety (neural networks, contrastive learning), spatial-temporal data analysis , and social media-driven urban dynamics studies. Key themes include data-driven policy modeling and interdisciplinary approaches combining engineering, psychology, and social sciences. Collaborative Engagement Active collaboration with institutions like TU Delft's 4TU.ResearchData. Contributions to open-access datasets and software repositories. Participation in academic workshops and seminars (e.g., 2025 collective perception workshop). Media engagement on urban mobility topics (2016 coverage in Dutch outlets).

David L. Kellyمشاهده پروفایل

استاد

• Environmental Economics
• Climate Change Policy
• Sustainable Business
• +۳ مورد دیگر

David L. Kelly is a Professor of Economics at the University of Miami 's Miami Herbert Business School , where he also serves as the Academic Director of the MS in Sustainable Business and Co-Chair of the Sustainable Business Research Cluster. His research and teaching focus on environmental economics, climate policy, and sustainable business practices. Education: Ph.D. in Economics, Carnegie Mellon University (1995) M.S. in Economics, Carnegie Mellon University (1991) B.S. in Mathematical Economics (Honors), Wake Forest University (1989) Research Interests: Kelly's work centers on environmental economics , particularly the design of climate policies under uncertainty, the economics of natural disasters, and the intersection of sustainability and business strategy. He explores how learning and uncertainty affect macroeconomic and financial outcomes, with applications to regulation, risk management, and long-term environmental planning. Publications & Impact: His recent publications address solar geoengineering, coastal adaptation strategies, and the economic valuation of climate resilience infrastructure. A recurring theme is the integration of fat-tailed risk distributions into environmental policy design, highlighting the importance of precautionary approaches in the face of potentially catastrophic climate outcomes. Awards & Recognition: Multiple Excellence in Teaching Awards (2020–2024) Roberta Bosey Fullbright Foote Prize for Sustainability (2024) Excellence in Research Award, UM School of Business (2000) William Larimer Mellon Fellowship (1989–1992) Advising & Grants: Kelly has supervised six PhD students to completion and currently advises Kevin Sterling. His funded research includes ULINK grants on coastal resilience and climate gentrification, as well as projects on sustainable banking and environmental regulation. Teaching & Outreach: Beyond his research, Kelly teaches MBA and MS-level courses in managerial economics, game theory, and sustainable business. He is an active contributor to the Association of Environmental and Resource Economists (AERE), having hosted its 2020 summer conference and served on its program committee for over a decade.

Panayotis Mertikopoulosمشاهده پروفایل

استادیار

• Game Theory
• Machine Learning
• Optimization
• +۴ مورد دیگر

Dr. Panayotis Mertikopoulos is a CNRS researcher (chargé de recherche) at the Laboratoire d'Informatique de Grenoble, part of Université Grenoble Alpes. He is affiliated with the Inria/LIG joint team POLARIS and has held visiting positions at UC Berkeley, EPFL, LUISS University of Rome, and NKUA. His academic journey includes completing his PhD at the University of Athens in 2010 on "Stochastic perturbations in game theory and applications to networks" and his Habilitation à Diriger des Recherches (HDR) in 2019 on "Online optimization and learning in games: Theory and Applications". Dr. Mertikopoulos' research spans several interconnected fields at the intersection of mathematics, computer science, and economics. His primary research interests include: Game theory and its applications to network design and resource allocation Online learning algorithms and their convergence properties Optimization methods for non-convex and stochastic problems Applications to machine learning, signal processing, and wireless networks Quantum game theory and quantum computing applications His extensive publication record shows a clear evolution from foundational work in game dynamics and learning theory toward increasingly sophisticated applications in machine learning and network optimization. Recent work demonstrates growing interest in quantum game theory, non-convex optimization, and the mathematical foundations of deep learning. His research consistently bridges theoretical insights with practical applications, particularly in communication networks and distributed systems. Among his notable achievements is receiving the INFORMS best paper award in the network analytics section in 2022 for his work on "Robust power management via learning and game design". His publications have appeared in top venues including NeurIPS, ICML, COLT, IEEE Transactions, and leading economics and operations research journals. Dr. Mertikopoulos has supervised numerous PhD students and postdoctoral researchers, though specific names are not listed in the available information. He has secured research funding for projects at the intersection of game theory, optimization, and machine learning, with applications to network design and resource allocation. His collaborative work spans multiple institutions across Europe and North America. As a member of the POLARIS research team at Inria/LIG, he contributes to a vibrant research environment focused on parallel and distributed systems. His work often intersects with colleagues researching optimization algorithms, machine learning theory, and network science, creating opportunities for cross-disciplinary collaboration on complex computational problems.

Milad Haghaniمشاهده پروفایل

مدرس ارشد

• Transport Safety
• Human Factors in Transport
• Crowd Dynamics
• +۴ مورد دیگر

Dr. Milad Haghani is a Senior Lecturer at the School of Civil and Environmental Engineering , UNSW Sydney , and holds an Australian Research Council (ARC) Discovery Early Career Researcher Award (DE210100440) for his work in crowd evacuation planning. He earned his PhD in Transport Engineering from the University of Melbourne and has held fellowships at the University of Sydney and University of Melbourne. His research spans transport safety, human factors, and meta-science, with particular emphasis on pedestrian dynamics and disaster preparedness. Education: PhD in Transport Engineering, University of Melbourne MSc in Transport Engineering, Sharif University of Technology BSc in Civil Engineering, Iran University of Science and Technology Research Themes: Crowd safety and evacuation modeling Transport psychology and road safety Econometric and choice modeling Meta-research and science of science Disaster mitigation and urban planning Behavioral interventions in safety Scientific Recognition: ARC DECRA Fellow (DE210100440, 2021-2024) His publications (15 most recent) cover topics including pedestrian behavior , crowd accident analysis , emergency evacuation optimization , and transport safety policy . As a DECRA Fellow, he leads projects on behavioral interventions in crowd management. His work intersects transport engineering , human psychology , and disaster response systems , with applications in urban design, public security perception, and emergency logistics. Dr. Haghani contributes to science of science through bibliometric analyses, examining research trends in fields like coronavirus studies , wildfire science , and digital health technologies . His methodological expertise spans discrete choice modeling and simulation-based research , including virtual reality applications for safety training.

Taha Hossein Rashidiمشاهده پروفایل

استاد

• Travel behaviour analysis
• Transportation planning
• Activity-based travel demand modelling
• +۸ مورد دیگر

Professor Taha Hossein Rashidi is a leading expert in Transport Engineering at the School of Civil and Environmental Engineering, University of New South Wales (UNSW), and a member of the Research Centre for Integrated Transport Innovation (rCITI). His work bridges disciplines like economics, statistics, urban design, and sustainability to advance smart-city solutions. Education : PhD, University of Illinois, Chicago (2011); MS Civil Engineering, Sharif University of Technology (2005); BS Civil Engineering, Sharif University of Technology (2003). His research focuses on travel behaviour analysis, activity-based travel demand modelling, integrated land use and transportation models, and autonomous driving technologies. He leads the rCITI Travel Behaviour Modelling Team, which includes 3 Post-docs, 7 PhD, and 3 MSc students. Recent work explores shared autonomous vehicles, social media data integration for transport models, and dynamic ride-sharing systems. His publications span topics like pedestrian demand modeling, residential relocation dynamics, and pandemic-related travel restrictions. Scientific Awards Fred Burggraf Award (TRB, 2008) Dwight Eisenhower Fellow (2008) ASCE Freeman Fellowship (2009) NSERC PDF Award (2012) Industrial RAND Fellowship (2012) Vice Chancellor’s Award for Teaching Excellence (2015, Team) Award for Engineering Education Engagement (2015, Team) Outstanding Paper (TRB Analytics Contest, 2017) He has secured over $1.2 million in research funding since 2007, including ARC DECRA and Linkage Grants. His teaching includes courses on geometric design, urban transport modeling, and transport econometrics.

Fabian Torresمشاهده پروفایل

مدرس

• Transportation Systems
• Operations Research
• Statistical Modeling
• +۳ مورد دیگر

Fabian Torres is a Lecturer at École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the College of Engineering ( ENAC ). He works in the Transportation and Mobility Laboratory (TRANSP-OR) and SGC-ENS (Civil Engineering Teaching). His research spans transportation systems, operations research, and algorithm design. Research Focus : Modeling driver behavior and decision support in transportation Statistical modeling of transportation systems Algorithm development for pricing and routing optimization Scientific Contributions : Recent work includes continuous pricing algorithms, crowdshipping logistics, stochastic vehicle routing, and elevator dispatching optimization. His publications emphasize integrating advanced discrete choice models with operational challenges in transportation.

Matthias Grossglauserمشاهده پروفایل

استاد

• Machine Learning
• Stochastic Networks
• Discrete Choice Models
• +۴ مورد دیگر

Matthias Grossglauser is a Full Professor at the School of Computer and Communication Sciences at École Polytechnique Fédérale de Lausanne (EPFL), where he co-directs the Information and Network Dynamics lab. He serves on the Federal Communications Commission (ComCom), Switzerland's telecommunications regulatory authority, and previously directed EPFL's Doctoral School in Computer and Communication Sciences (2016-2019). His career includes positions at Nokia Research Center (Internet Laboratory lead), AT&T Research, and EPFL (Assistant Professor). Education Ph.D. in Computer Science from Sorbonne Universités M.Sc. in Electrical Engineering from Georgia Institute of Technology Engineering degree in Communication Systems from EPFL Research Focus Grossglauser's research integrates machine learning, stochastic networks, and discrete choice models to address challenges in artificial intelligence, network science, computational social sciences, and recommender systems. His work emphasizes both theoretical foundations and practical applications, including political forecasting, climate communication, and network dynamics. Publication Trends Recent articles demonstrate strong focus on causal inference, optimal learning algorithms, and social network analysis. Dominant themes include reinforcement learning optimization, graph-based modeling, and NLP applications in political science. Methodological innovations in matrix factorization, Bayesian modeling, and stochastic processes recur throughout. Awards & Honors Fellow of IEEE and ELLIS Cor Baayen Award (1998) CoNEXT/SIGCOMM Rising Star Award (2006) Best Paper Awards: ACM COSN (2014), IEEE INFOCOM (2001) Nokia Mobile Data Challenge Winner (2012) Academic Leadership Has advised 16+ PhD students to completion and currently supervises 4 doctoral candidates. Secured research funding for projects including dynamic recommender systems, network alignment algorithms, and computational social science tools (e.g., Predikon.ch vote prediction platform). Leads the Information and Network Dynamics lab, focusing on AI-driven network analysis.

• Sustainable Food Consumption
• Sustainable Land Use
• Environmental Economics
• +۶ مورد دیگر

Liesbet Vranken is an Associate Professor at the Department of Earth and Environmental Sciences, Faculty of Bioscience Engineering, KU Leuven. She leads the Society-Environment Interactions Research Group , focusing on land resource scarcity, sustainable food systems, and environmental economics. Research: Sustainable food consumption & production, land use optimization, natural hazard economics, agroforestry, and citizen science Projects: Klimaatmitigatie trajecten , TealHelix , and Socio-economische solidariteitsmechanismes in Uganda/Ethiopia Methodology: Interdisciplinary integration of environmental economics, experimental economics, and spatial analysis Her work emphasizes optimizing land use configurations, guiding consumer behavior, and evaluating policy instruments for sustainable transitions. She supervises doctoral researchers in global projects related to climate resilience and food security.

• Transportation Systems Optimization
• Operations Research
• Machine Learning
• +۷ مورد دیگر

Emma Frejinger is a full Professor at the Department of Computer Science and Operations Research, Faculty of Arts and Science, Université de Montréal. She holds the Canada Research Chair in Demand-Driven Optimization of Transport Systems and the CN Chair in Railway Operations Optimization. Her work bridges operations research and statistical learning to solve large-scale transportation challenges. Ph.D. in Mathematics, École Polytechnique Fédérale de Lausanne, Switzerland Her research focuses on transportation network optimization , demand forecasting , and discrete choice modeling . She develops data-driven methodologies for railway operations, EV charging infrastructure, and traffic prediction, emphasizing scalability and real-world applicability. Recent publications highlight trends in integrating machine learning with combinatorial optimization , particularly for MIPs , competitive facility location , and stochastic transport systems . These works span freight logistics , urban mobility , and reinforcement learning applications . Scientific Awards: Two-time INFORMS Transport Science and Logistics Society best Ph.D. thesis award 2017 Grand Prix d'excellence en transport (freight category) She has supervised 21+ graduate students in topics ranging from locomotive routing to electric vehicle adoption , with projects funded by NSERC, FRQ, and industry partners like CN Rail and Purolator. Her lab affiliations include CIRRELT and OPTIM , focusing on simulation and optimization.

Julia Philippouمشاهده پروفایل

مدرس ارشد

• Intensive Care Nursing
• Intensive Care Unit
• Health Care Organization
• +۱۰ مورد دیگر

Dr. Julia Philippou is a Senior Lecturer in Nursing Education with expertise in Adult Nursing and intensive care nursing. Her research portfolio demonstrates significant contributions to understanding nursing workforce dynamics, healthcare organization, and educational interventions in critical care settings. With 194 citations across 17 research outputs, her scholarly impact is evident in the nursing field. Her research interests form a distinctive fingerprint spanning Intensive Care Nursing (100%), Intensive Care Unit practices (72%), Health Care Organization (60%), organizational culture in healthcare (40%), systematic review methodologies (40%), telemedicine applications (40%), occupational career trajectories in nursing (32%), and CINAHL database utilization (31%). These interconnected research areas reflect her comprehensive approach to improving nursing practice and healthcare delivery. Dr. Philippou's recent publications reveal a strong focus on contemporary nursing challenges, particularly nurse retention strategies, digital technology integration in nursing practice, and effective educational approaches for intensive care nurses. Her work demonstrates methodological diversity including narrative reviews, discrete choice experiments, and multiple case study approaches. She has secured significant research funding as Co-Investigator on four major projects funded by the NIHR National Institute for Health & Care Research, with total project durations spanning from 2016 to 2025. Her collaborative work extends internationally, with research involving stakeholders in the Kingdom of Saudi Arabia. Dr. Philippou has presented her research findings at professional conferences, including oral presentations on the culture of care barometer in 2015 and 2016. Her work has been disseminated through various channels including journal articles, review articles, and reports, with evidence of impact through news outlet coverage and substantial academic readership on platforms like Mendeley.

Fiona Sauerbierمشاهده پروفایل

پژوهشگر

• Logistics
• Transport
• Production
• +۴ مورد دیگر

Fiona Sauerbier serves as a Scientific Associate at the Institute for Logistics, Transport and Production within the University of Hamburg Business School. Her research focuses on choice-based optimization under high-dimensional systems, directly contributing to advancements in logistics, transport, and production management through computational modeling and data-driven solutions. Her educational background includes a Master of Science degree. Core research interests encompass Logistics, Transport, Production, Optimization, Machine Learning, Crowd Management, and Traffic Analysis. She develops sophisticated frameworks for resource allocation in complex systems, particularly addressing crowd dynamics and transportation networks during large-scale international events. Recent publications reveal a strong trajectory in applying machine learning to real-time traffic forecasting for mega-events like the FIFA World Cup, while simultaneously advancing theoretical foundations of choice-based optimization in high-dimensional spaces. This dual focus bridges practical event logistics challenges with rigorous mathematical modeling. She operates within the research team led by Univ.-Prof. Dr. habil. Knut Haase, collaborating on projects that integrate optimization theory with transportation engineering applications. Her office is located at Moorweidenstraße 18, Room 2027 in Hamburg, with appointments conducted via email contact.

Jon Maskalyمشاهده پروفایل

دانشیار

• Policing
• Police-Community Relationships
• Communities and Crime
• +۴ مورد دیگر

Jon Maskaly is an Associate Professor in the Department of Criminal Justice at the University of North Dakota. His research focuses on Policing Police-Community Relationships Communities and Crime Big Data/Computational Criminology Quantitative Methods/Psychometrics/GIS Education: Ph.D. in Criminology, University of South Florida (2014) Graduate Certificate in Measurement, Evaluation, Statistics, and Assessment, University of Illinois at Chicago (2016) M.A. in Criminal Justice, University of Nevada (2009) B.A. in Criminal Justice, University of Nevada (2007) His recent publications examine policing adaptations during the COVID-19 pandemic, police misconduct theories, and quantitative analyses of community-police dynamics. His work spans comparative studies across multiple countries and explores intersections of cultural values with law enforcement practices.