جست‌وجوی استاد و پژوهشگر

Michael R. Gibbonsمشاهده پروفایل

استاد

• Asset Pricing
• Econometrics
• Portfolio Theory
• +۳ مورد دیگر

Michael R. Gibbons is the I.W. Burnham II Professor of Investment Banking at the Wharton School of the University of Pennsylvania. He has been affiliated with Wharton since 1989, serving in multiple leadership roles including Deputy Dean (2007-2021) and Chairperson of the Finance Department (1994-2006). Previous appointments include Stanford University and the University of Chicago, with visiting roles at the latter institution. Education PhD in Finance, University of Chicago (1980) MS in Finance, University of Chicago (1979) BS in Mathematics, Butler University (1975) Dr. Gibbons' research focuses on asset pricing, econometric validation of financial models, and portfolio theory. His work includes testing the Cox-Ingersoll-Ross term structure model and analyzing consumption-oriented capital asset pricing frameworks. Recent publications examine derivatives pricing applications and risk management strategies. His publications (1989-1993) demonstrate methodological innovations in econometric testing and practical applications to Treasury-bill returns. Key research trends include non-arbitrage pricing principles, dynamic portfolio modeling, and empirical validation of theoretical financial frameworks. Scientific Awards Batterymarch Fellow (1983-84) Graduate Division Excellence in Teaching Award (1996, 2001) Dr. Gibbons teaches advanced finance courses including Financial Derivatives (FNCE7170) , which covers pricing models (binomial trees, Black-Scholes-Merton), hedging strategies, and applications in corporate valuation. He also supervises Independent Study (FNCE8990) projects for finance students.

Howard Schwartzمشاهده پروفایل

استاد

• Machine Learning
• Adaptive Control
• Multi-Agent Machine Learning
• +۳ مورد دیگر

Professor Howard Schwartz is a distinguished academic in Electrical and Computer Engineering at Carleton University , with a career spanning academia, industry, and robotics research. He earned his BEng in Civil Engineering from McGill University (1982), followed by MSc (1984) and PhD (1986) in Aerospace and Mechanical Engineering from MIT. His academic leadership includes serving as Department Chairman (2009-2013) and authoring the seminal text Multi-Agent Machine Learning: A Reinforcement Approach (Wiley, 2014). As an Associate Editor for IEEE Transactions on Cybernetics , he shapes discourse in cybernetic systems and machine learning. Research Focus Professor Schwartz's research bridges theoretical and applied domains: Machine learning for robotics and autonomous systems Adaptive control theory and multi-agent systems Reinforcement learning algorithms with fuzzy logic integration Real-time video analytics and GPS receiver development Nonlinear control systems for UAVs and wind energy optimization Industry Experience His career includes impactful industry engagements: Early development of high-performance GPS receivers at Canadian Marconi Co. (1982-1984) Sabbatical at March Networks (2001-2002) for video analytics Software quality control at CMC Electronics (2008) Software development for TV set-top boxes at Espial Inc. (2014-2015)

Mine Çağlarمشاهده پروفایل

استاد

• Probability
• Stochastic Processes

Mine Çağlar is a Professor in the Department of Mathematics at Koç University, specializing in probability theory and stochastic processes with applications in mathematical finance and risk analysis. Her work addresses fundamental problems in Markov additive processes, Lévy processes, and Brownian motion, contributing to both theoretical advances and practical financial modeling. Her academic credentials include: PhD in Statistics and Operations Research from Princeton University (1997) Master’s in Industrial Engineering from Bilkent University (1991) B.A. in Industrial Engineering from Middle East Technical University (1989) Professor Çağlar’s research centers on extreme event analysis in stochastic processes, particularly maximum drawdown, maximum loss, and optimal stopping problems. She investigates path properties of spectrally negative Lévy processes and develops mathematical frameworks for degenerate market models. Her work bridges abstract probability theory with real-world financial applications, including risk management and hedging strategies. Recent publications demonstrate sustained innovation in stochastic analysis, with a focus on long-time behavior of complex processes and boundary-crossing phenomena. Analysis of her 15 most recent publications (2018–2024) reveals a cohesive research trajectory emphasizing Markov additive processes (40% of articles), Lévy process extremes (30%), and financial applications (20%). Key methodological trends include path decomposition techniques, Monge-Ampère equations on Wiener space, and stochastic flow modeling. Her work increasingly integrates fluid dynamics concepts like Çinlar models for turbulence simulation, reflecting interdisciplinary expansion into applied mathematics. Her scholarly recognition includes: Hayri Körezlioğlu Research Award (2013) Parlar Foundation Research Incentive Award (2005)

Michele Donatiمشاهده پروفایل

دانشیار

• Agricultural Economics
• Agro-environmental Policy
• Sustainable Food Systems
• +۳ مورد دیگر

Michele Donati is an Associate Professor at the Department of Chemical, Life and Environmental Sustainability Sciences, University of Parma. With expertise in agricultural economics and agro-environmental policy, he specializes in quantitative analysis using mathematical programming models and Life Cycle Assessment (LCA) for evaluating sustainability in food systems. His teaching includes courses in Environmental Economics and Economic Modeling, and he leads research on CAP reforms and bio-economic modeling. Education: PhD in Agri-food Economics (2001–2003), Master in Environment and Natural Resource Economics (1999–2000), Degree in Economics (1992–1998) Research: Focuses on CAP policy evaluation, sustainable agri-food supply chains, bio-economic modeling, and greening strategies. Projects include Horizon2020's Strength2Food and EUROTOOLS. Teaching: Environmental Economics (2009–present), Economic Modeling (2008–present), and Rural Development (2011–2012). Awards: Received the 2016 European Association of Agricultural Economists Publication Award for policy contribution.

• Medical Statistics
• Epidemiology
• Health Services Research
• +۱۲ مورد دیگر

Dr. Matthew Barclay is a Principal Research Fellow (Statistician) in Cancer Healthcare Epidemiology at University College London's Behavioural Science and Health department. With expertise spanning medical statistics, epidemiology, and health services research, his work focuses on analyzing cancer registry data, primary care electronic health records, and healthcare claims data to improve understanding of cancer diagnosis and treatment pathways. Dr. Barclay's educational background includes: PhD in "The design of composite indicators of healthcare quality: a multi-method analysis" from University of Cambridge (2021) MSc in Statistics with Medical Applications from University of Sheffield (2015) MMath in Mathematics from Durham University (2011) Dr. Barclay's research spans the entire cancer diagnostic and management pathway, with particular focus on risk of cancer in primary care patients, cancer characteristics at diagnosis (including socio-demographic variations in staging), treatment patterns, and short-term outcomes. His methodological expertise lies in applied statistics, particularly in cohort design within electronic health record datasets and developing consistent data resources for research. His work frequently employs cancer registry data, primary care records, and healthcare claims to address critical questions in cancer epidemiology and healthcare quality. Analysis of Dr. Barclay's recent publications reveals a strong focus on cancer diagnosis pathways, particularly how symptoms present in primary care lead to cancer diagnosis. His work spans multiple cancer types but has particular emphasis on lung, colorectal, and breast cancers. Methodologically, his research combines epidemiological approaches with advanced statistical techniques applied to large-scale datasets including UK Biobank, cancer registries, and primary care records. International comparative studies through the International Cancer Benchmarking Partnership represent another significant strand of his recent work. Dr. Barclay advises postgraduate and PhD students on topics related to his research interests in cancer epidemiology and health services research. His collaborative network spans multiple institutions and countries, reflecting the international nature of his research on cancer diagnosis and treatment pathways.

Pierre Picardمشاهده پروفایل

استاد

• Insurance Economics
• Risk Management
• Incentive Contracts
• +۴ مورد دیگر

Pierre Picard is a Professor of Economics at École Polytechnique , where he is also a member of the Haut Collège . He holds a PhD in Economics and is a graduate of HEC-Paris. His academic career includes leadership roles such as President of the Risk Theory Society (2005) and President of the European Group of Insurance Economists (EGRIE) (2009). Education: PhD in Economics, HEC-Paris Affiliations: CREST, Risk Theory Society, EGRIE His research focuses on insurance economics , risk management , and contract theory , with applications to catastrophic risks, health insurance, and parametric insurance. Recent publications analyze pandemic business interruption insurance, nuclear liability insurance, and optimal health insurance under ex post moral hazard. Key trends in his work include modeling insurance markets with adverse selection, designing parametric insurance for technology adoption in developing countries, and exploring the role of policy dividends in market equilibrium. He has co-authored multiple papers with A. Louaas, J.-M. Bourgeon, and J. Pinquet. Scientific Awards and Leadership: Junior member, Institut Universitaire de France (1991-1996) President, Risk Theory Society (2005) President, European Group of Insurance Economists (2009) Co-Editor, Annals of Economics and Statistics (past) Co-Editor, Geneva Risk and Insurance Review (past) At École Polytechnique, he teaches courses in Corporate Finance , Microeconomics , and General Insurance at the Master’s level. He also instructs on Topics in Insurance Economics at ENSAE’s Engineering Cycle program.

Till Requateمشاهده پروفایل

استاد

• Environmental Economics
• Competition Policy
• Experimental Economics
• +۳ مورد دیگر

Till Requate is Professor for Innovation, Competition and New Institutional Economics at Kiel University's Faculty of Business, Economics, and Social Sciences since 2002, following his professorship in Environmental Economics at Heidelberg University (1996-2002). He served as Associate Dean for Study Programs (2004-2010) and Dean of the Faculty (2016-2020), and currently co-edits the Berkeley Electronic Journal of Economic Analysis and Policy while serving on Germany's Commission of Experts for Research and Innovation since 2020. His academic background includes: Graduation in Mathematics and Philosophy from Bielefeld University (1985) Ph.D. in Economics with thesis on game theory and industrial organization (1989) Habilitation (1994) Requate's research centers on environmental economics, competition policy, and experimental economics, with significant contributions to climate policy design, emissions trading systems, and market mechanisms. His work bridges theoretical modeling and experimental validation, particularly examining institutional frameworks for environmental regulation and innovation. The experimental laboratory at Kiel University supports his empirical investigations into strategic behavior and policy effectiveness. His publication record (2014-2021) reveals strong interdisciplinary trends, connecting environmental economics with public health (pandemic response), energy systems (renewable integration), and behavioral insights (labor market reciprocity). Key thematic clusters include climate policy innovation (Flexcap mechanism, stranded assets), regulatory design (Montero mechanism), and market structure analysis (Cournot competition, emission permit markets), demonstrating consistent application of experimental methods to real-world policy challenges. Major recognitions include: von-Bennigsen-Foerder-Preis (1990) Eric-Kempe Prize from EAERE (2004) German Association of Health Economics Best Paper Award (2012) As former Editor-in-Chief of the Journal of Environmental Economics and Management (2013-2018) and current BEJEAP Co-Editor, Requate shapes scholarly discourse while applying expertise through consultancy for the World Bank, OECD, German Federal Ministry of Research, and Danish Ministry for Agriculture. His leadership extends to directing Kiel's Experimental Laboratory and influencing national climate policy through the EFI Commission. Requate maintains active research collaborations through Kiel University's Experimental Laboratory, focusing on behavioral responses to environmental regulations and market design experiments that inform real-world policy implementation across European and international contexts.

Ross Horneمشاهده پروفایل

مدرس ارشد

• Security protocols
• Privacy-preserving technologies
• Concurrency theory
• +۷ مورد دیگر

Ross Horne is a Senior Lecturer in the Department of Computer & Information Sciences at the University of Strathclyde, Glasgow, United Kingdom. He is a member of the StrathCyber and Mathematically Structured Programming research groups. Education: PhD (University of Southampton, 2012), BA (Oxford University, 2005) Prior Appointments: Research Fellow at University of Luxembourg (2018-2023), Senior Research Fellow at Nanyang Technological University (2015-2018), Associate Professor at Kazakh-British Technical University (2012-2015) Research Interests: Dr. Horne's work focuses on security and privacy protocols for digital systems, particularly addressing threats in payment technologies, ePassports, and decentralized identity management (e.g., Solid protocol). His theoretical contributions bridge concurrency theory, proof theory, and logic through applications to security verification and process calculi. Developed formal models for unlinkability in EMV payment protocols Created intuitionistic logical frameworks for process equivalence Explored graphical proof systems beyond formulaic representations Investigated legal-compliant AI for space systems (CubeSat anomaly detection) Scientific Contributions: He has published extensively in top venues including ACM CCS, IEEE CSF, LICS, and CONCUR. His 2017 CONCUR best paper introduced intuitionistic characterizations of bisimilarity. Principal Investigator for EU COST Action on Distributed Knowledge Graphs Co-developed privacy models adopted in Luxembourg parliamentary responses Advising: Currently accepting PhD students with strong mathematical and computer science skills for research in security/privacy of emerging systems. Former student Semen Yurkov completed a thesis on privacy-preserving smart card payments. Interdisciplinary Work: Collaborates with space lawyers through the Interdisciplinary Master Program in Space Resources. Projects include AI for CubeSat reliability and legal-compliant software certification frameworks.

Eunji Limمشاهده پروفایل

دانشیار

• Operations Management
• Supply Chain Management
• Business Analytics
• +۲ مورد دیگر

Eunji Lim is an Associate Professor in the Department of Decision Sciences and Marketing at the Robert B. Willumstad School of Business, Adelphi University, located in Garden City, New York. She has been a faculty member at Adelphi since 2018, initially as an Assistant Professor and promoted to Associate Professor in 2023. Her prior academic appointments include Assistant Professor roles at Kean University (2013–2018) and the University of Miami (2008–2013). Education Ph.D. in Operations Research (implied by department) , Stanford University (2008) Research Interests Lim’s research lies at the intersection of operations research, statistics, and management science. She focuses on simulation-based decision making for operations and supply-chain systems, leveraging large-scale stochastic simulation to optimize complex processes. A second major theme is nonparametric function estimation under shape constraints , where she develops statistically rigorous methods to estimate convex, monotonic, or smooth functions from noisy data. These methodologies find applications in business analytics, revenue management, inventory control, and engineering design. Publication Trends Her recent articles (2013–2025) reveal a consistent emphasis on convex and isotonic regression , simulation analytics , and stochastic optimization . A clear trajectory emerges from theoretical foundations—convergence rates, consistency, and asymptotic distributions—toward practical algorithms for high-dimensional and noisy environments. Interdisciplinary impacts are evident in publications targeting both statistics and operations-research audiences, with cross-cutting keywords such as simulation optimization, shape-restricted inference, and robust estimation. Scientific Awards No specific awards or fellowships are listed in the provided materials. Advising & Grants No information on current or former PhD/Master’s students, postdocs, or funded research grants is provided. Labs & Teams No laboratory or research-group affiliations beyond her departmental appointment are mentioned.

• Stochastic Control
• Backward Stochastic Differential Equations (BSDEs)
• Actuarial Science
• +۶ مورد دیگر

Anis Matoussi is a Professor of Applied Mathematics at Le Mans University and serves as the Director of the Institut du Risque et de l'Assurance du Mans. He coordinates the master's program in Actuarial Science and leads multiple research initiatives, including ANR DREAMeS (2021-2025) and ITCA (Groupama, Fondation du Risque). Role: Professor, Applied Mathematics Institution: Le Mans University Research Leadership: Director of Institut du Risque et de l'Assurance, Head of Master Actuarial Science His research focuses on stochastic control, backward stochastic differential equations (BSDEs), and their applications in finance, insurance, and energy systems. He has developed numerical methods for second-order BSDEs and studied stochastic nonlinear PDEs, maximum principles for SPDEs, and extended mean field control models. Recent projects include the application of deep learning to forward utilities via ergodic BSDEs and multivariate risk measures. Matoussi has supervised numerous PhD students, including current advisees Zakaria Bensa (industrial thesis with Natixis) and Lucas Da Silva (co-supervised with Caroline Hillairet). Former students like Achraf Tamtalini (Bank of America) and Jing Zhang (Fudan University) hold prominent positions globally. His work includes collaborations on smart grids, control of electrical systems, and robust utility maximization under uncertainty. Publications span journals in applied mathematics, optimization, probability, and financial mathematics, with recent emphasis on numerical schemes and probabilistic representations.

• Chemical Engineering
• Optimization Theory
• Control Systems
• +۵ مورد دیگر

Danielle Zyngier serves as an Adjunct Assistant Professor in the Department of Chemical Engineering within the Faculty of Engineering at McMaster University. Her academic role focuses on research and teaching in process systems engineering, optimization, and control systems with industrial applications. Her research spans Chemical Engineering (54.8% of activity), Optimization Theory (18.2%), and Control Systems (9.4%). She specializes in uncertainty management for scheduling problems, sensor network design, and hybrid monitoring systems. Key application areas include cascaded hydropower systems considering electricity price variations, rail logistics, wastewater treatment processes, and offshore compression systems in oil and gas operations. Analysis of her 15 most recent publications reveals consistent focus on robust optimization frameworks for industrial processes under uncertainty. Her work bridges theoretical advancements in MILP formulations and real-time scheduling with practical implementations in energy, transportation, and environmental systems. Recent contributions (2017-2021) emphasize online scheduling for hydropower systems, while earlier work established foundations in sensor networks and soft sensors. No doctoral or master's students are listed in available records. The VIVO database indicates no currently loaded research grants, though co-author networks show established collaborations with Thomas Marlin (4 publications) and Christopher L.E. Swartz (3 publications).

Sinead O'Keeffeمشاهده پروفایل

پژوهشگر ارشد

• Radiation Dosimetry
• Optical Fiber Sensors
• Brachytherapy
• +۴ مورد دیگر

Sinead O'Keeffe is a Research Fellow at the University of Limerick in the Faculty of Science and Engineering , specifically within the Department of Electronic and Computer Engineering . Her research bridges the technical domain of optical fiber sensor development with critical applications in radiation therapy and sports medicine. Primary Research Themes Medical radiation dosimetry using optical fiber sensors Brachytherapy dose monitoring systems Sports injury prevention in Gaelic football and running Mental health literacy in rural farming communities Key Technical Contributions Development of scintillation-based dosimeters Characterization of perfluorinated polymer fibers 3D printed sensor systems for clinical and rehabilitation applications Interdisciplinary Applications Prostate cancer radiotherapy dose measurement Mental health intervention programs for athletes Work-family conflict analysis in Irish farming Email: sinead.okeeffe@ul.ie

• Mathematical Finance
• Stochastic Analysis
• Model Uncertainty
• +۷ مورد دیگر

Max Nendel is a Junior Professor (Assistant Professor) at Bielefeld University, specifically affiliated with the Institute of Mathematical Economics within the Faculty of Business Administration and Economics. He is actively involved in the Collaborative Research Center 1283 (CRC 1283) "Taming uncertainty and profiting from randomness and low regularity in analysis, stochastics and their applications" as subproject manager for C7: "Markovian dynamics under model uncertainty". Additionally, he is a member of the Bielefeld Graduate School in Theoretical Sciences and an expert for the Center for Uncertainty Studies (CeUS) with expertise in Financial markets and Risk management. Dr. Nendel's research focuses on the intersection of mathematics, probability theory, and financial applications, with a particular emphasis on model uncertainty and its implications for financial markets. His work spans mathematical finance, stochastic analysis, nonlinear expectations, and risk management. He approaches these fields through rigorous mathematical frameworks, developing theoretical foundations that have practical applications in financial risk assessment and decision-making under uncertainty. His publication record reveals a strong trend toward addressing model uncertainty in mathematical finance, with recent works exploring risk measures based on weak optimal transport, convex semigroups, and Markov processes under nonlinear expectations. These publications demonstrate his expertise in bridging abstract mathematical concepts with concrete financial applications, particularly in the areas of risk management and financial modeling. Dr. Nendel serves as Principal Investigator for multiple significant research projects, including the Bielefeld University Research Training Group 2865 "Coping with Uncertainty in Dynamic Economies" (CUDE) and Project C7 of CRC 1283. His research has been presented at numerous international conferences and seminars across Europe, North America, and Australia, demonstrating the global recognition of his work in mathematical finance and uncertainty quantification. As an educator, Dr. Nendel has supervised numerous Ph.D. and Master's students, with several currently in progress. His teaching portfolio includes advanced finance courses with specific focus on stochastic control and model uncertainty in economics and finance. He has also organized and participated in various academic events related to risk measures, uncertainty in insurance, and robust finance.

I.J. Da Silva Oliveiraمشاهده پروفایل

پژوهشگر

• Cybersecurity
• Risk Management
• Ontology-Driven Conceptual Modeling
• +۲ مورد دیگر

I.J. Da Silva Oliveira is a Researcher at the Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) at the University of Twente. Affiliated with the Computer Science department and the Semantics, Cybersecurity & Services (SCS) group, they focus on ontologically well-founded and logically rigorous technology solutions for risk management in cybersecurity. PhD in Computer Science from Free University of Bozen-Bolzano, Italy Supervised by Giancarlo Guizzardi, Enrico Franconi, and Tiago Prince Sales With a prior background in Law and Philosophy of Law, their transition to Computer Science reflects an interdisciplinary approach to addressing societal challenges through information technology. They are part of the Digital Society Institute and have published QR code/vCard contact details for professional engagement.

Laura K. Strawnمشاهده پروفایل

دانشیار

• Food Microbiology
• Food Safety
• Produce Safety
• +۳ مورد دیگر

Laura K. Strawn is an Associate Professor in the Department of Food Science & Technology at Virginia Tech. Her research and extension work focuses on reducing foodborne pathogen contamination in the produce supply chain, with a 50-50 split between research and extension activities. She teaches FST 5034: Good Agricultural and Manufacturing Practices through the Virginia Tech Online Masters program. Ph.D., Food Science, Cornell University (2014) M.S., Food Science, University of Florida (2009) B.S., Food Science and Technology, University of California, Davis (2007) Her research interests include food microbiology, pathogen survival on agricultural surfaces, produce safety, and compliance with the Food Safety Modernization Act (FSMA). She develops mitigation strategies for pathogens like Listeria, Salmonella, and E. coli, and evaluates sanitation interventions for packinghouse equipment and harvest materials. Awards include the Larry Beuchat Young Researcher Award (2021), FDA Outstanding Service Award (2016), and multiple top honors in Virginia Cooperative Extension poster competitions. Her work emphasizes translating scientific findings into actionable guidelines for growers and distributors through extension programs. Grants and collaborations include studies on agricultural water management, cyberbiosecurity in fermentation, and FSMA training effectiveness. She advises students and serves on graduate committees, contributing to both academic and industry-focused training.