جست‌وجوی استاد و پژوهشگر

Laurence Carassusمشاهده پروفایل

استاد

• Probability
• Mathematical Finance
• Economics
• +۳ مورد دیگر

Laurence Carassus is a Professor at the University of Reims and holds a prominent position as former Dean of Research at Ecole Supérieure d'Ingénieurs Léonard de Vinci (ESILV), where she co-headed the multidisciplinary De Vinci Research Center (DVRC). She holds a PhD in Applied Mathematics from Paris 1 Panthéon-Sorbonne University and an HDR (Habilitation à Diriger les Recherches) from Paris 7 University. Previously, she served as an associate professor at Paris 7 University, created the Master in Statistical and Computer Engineering (Finance, Insurance, Risk), and worked as a Manager at Deloitte Risk Services in banking and energy sectors. Her research focuses on probability applied to finance and mathematical economics, particularly incomplete markets. She publishes in top journals like Mathematics of Operations Research and frequently presents at international conferences. She actively contributes to academic governance through thesis juries, HCERES committees, and refereeing roles. Key research trends include stochastic modeling in financial markets, robust optimization under uncertainty, and the convergence of pricing methodologies in incomplete market frameworks. Her work bridges theoretical stochastic analysis with practical applications in risk management and economic decision-making.

John Cagnolمشاهده پروفایل

پژوهشگر

• Applied Mathematics
• Mathematical Physics
• Computational Mechanics
• +۳ مورد دیگر

John Cagnol is a Researcher at CentraleSupélec, affiliated with the Department of Mathematics and Computer Science within the Mathematics and Computer Science for Complexity and Systems Laboratory. His work spans applied mathematics, computational mechanics, and AI-driven healthcare solutions. Recent research focuses on shape optimization in Maxwell’s equations, hyperelastic shell dynamics, and AI applications in medical imaging. He collaborates extensively, with co-authors addressing topics like vaccine-resistant variant modeling and curriculum design for complex systems engineering. His contributions bridge theoretical frameworks (e.g., Hadamard well-posedness) with practical applications (e.g., insurance regulatory frameworks). Education: Details not explicitly stated in provided texts. Research interests emphasize interdisciplinary approaches, blending mathematical physics with real-world challenges in healthcare and engineering education. He leads efforts in curriculum innovation at CentraleSupélec, aiming to integrate systems thinking into engineering pedagogy. No scientific awards are mentioned, though his publication record reflects active collaboration across academia and industry.

• Extreme Value Theory
• Statistical Modeling
• Multivariate Statistics
• +۳ مورد دیگر

Anthony Christopher Davison is a Professor at the Institute of Mathematics within the School of Basic Sciences at École polytechnique fédérale de Lausanne (EPFL). He maintains an active research program in statistical methodology with a particular focus on extreme value theory and its applications across various domains including climate science, environmental statistics, and insurance. His work bridges theoretical developments with practical applications, addressing challenging problems in multivariate and spatial extremes. His research interests span Extreme Value Theory , Statistical Modeling , Multivariate Statistics , Spatial Statistics , and Bayesian Inference . Professor Davison has made significant contributions to the understanding of extremal dependence structures, developing novel methodologies for modeling multivariate extremes using structural equation models, graphical representations, and flexible nonparametric approaches. His work often addresses the challenges of non-stationarity in extreme events, particularly relevant in climate change contexts. Analysis of his recent publications reveals a consistent focus on advancing methodological frameworks for extreme value analysis while maintaining strong connections to real-world applications. His work demonstrates increasing sophistication in handling high-dimensional extremal dependence structures and addressing challenges in causal inference for extreme events. The publications span theoretical developments in statistical methodology alongside applications in climate science, environmental risk assessment, and insurance modeling. Professor Davison has supervised numerous doctoral students including Mario Krali, Timmy Rong Tian Tse, and Sonia Alouini, whose theses address cutting-edge problems in extreme value theory. His research has been supported by various funding bodies including the Swiss National Science Foundation and other Swiss foundations.

Ning Wangمشاهده پروفایل

مدرس

• Optimal Insurance and Reinsurance
• Life-cycle Planning
• Portfolio Optimization
• +۳ مورد دیگر

Ning Wang is a Lecturer in Actuarial Studies at the Research School of Finance, Actuarial Studies & Statistics at Australian National University (ANU), joining in January 2024. He holds a PhD in Statistics from East China Normal University (2020) and a PhD in Actuarial Studies from Macquarie University (2021), along with a Master of Research from Macquarie University (2019). Prior to ANU, he served as a Research Fellow at University of Wollongong and Macquarie University. His research focuses on stochastic optimal control applications in finance and insurance, including optimal reinsurance design, portfolio optimization, life-cycle planning models, and stochastic differential games. His work has been published in journals such as Insurance: Mathematics and Economics , Scandinavian Actuarial Journal , and Quantitative Finance . He currently supervises research students and leads the ANU Futures Scheme project (2024–2026), exploring advanced financial modeling frameworks. His research also addresses model uncertainty, dynamic programming, and robust optimization strategies under varying economic conditions. Education: PhD in Statistics, East China Normal University, 2020 PhD in Actuarial Studies, Macquarie University, 2021 Master of Research, Macquarie University, 2019 Grants & Projects: ANU Futures Scheme (2024–2026): Focuses on stochastic models for financial decision-making Key Research Themes: Optimal reinsurance and investment strategies Life-cycle planning with stochastic volatility Robust asset-liability management His publications demonstrate expertise in solving complex financial and actuarial problems through advanced mathematical and computational methods, including partial differential equations, dynamic programming, and numerical simulations.

• Uniform Distribution
• Discrepancy Theory
• Diophantine Equations
• +۷ مورد دیگر

Robert Tichy is a full Professor at the Institute of Analysis and Number Theory, Technische Universität Graz. His research spans number theory, stochastic analysis, and computational mathematics. He has held significant administrative roles including Department Head (1994-2000), Dean of Mathematical and Physical Sciences (2003-2009), and Vice-Dean (2010-2017). Tichy is a Corresponding Member of the Austrian Academy of Sciences and has served on editorial boards for journals like the Journal of Number Theory and The Ramanujan Journal .

Maria Rita Scarpittiمشاهده پروفایل

پژوهشگر

• Actuarial Science
• Mathematical Finance
• Risk Management
• +۴ مورد دیگر

Maria Rita Scarpitti is a researcher at Sapienza University of Rome, affiliated with the Department of Methods and Models for Economy, Territory, and Finance within the Faculty of Economics. She teaches Mathematics for Insurance and Mathematics Basic Course to Business Sciences students. PhD-level expertise in actuarial mathematics and financial risk modeling Specializes in innovative insurance structures (takaful, microtakaful, chrono-urbanism) Active in quantitative finance and catastrophe risk management Her research focuses on: Stochastic volatility modeling for insurance products Chrono-urbanism applications in pay-as-you-drive insurance Development of Sharia-compliant insurance frameworks Long-term care annuity pricing mechanisms Key publication areas include: Securitization of insurance risks Catastrophe bonds for disaster risk Behavioral economics in insurance fraud Cultural adaptations in financial contracts Contact: mariarita.scarpitti@uniroma1.it

David Stanfordمشاهده پروفایل

استاد

• Queueing Theory
• Stochastic Processes
• Actuarial Science
• +۴ مورد دیگر

David Stanford is a Professor in the Department of Statistical and Actuarial Sciences at the University of Western Ontario. He earned his Ph.D. from Carleton University in 1981. His office is located in WSC 211 and he can be contacted via phone (519-661-2111 x83612) or email. Research Focus: Dr. Stanford's research spans several interconnected domains including: Queueing Theory : Specializing in multi-server systems, priority queues, and service optimization Actuarial Science : Risk modeling, ruin theory, and insurance mathematics Healthcare Operations : Applying stochastic models to transplant systems and patient flow Environmental Modeling : Forest fire prediction using compound Poisson processes His work frequently combines theoretical stochastic processes with practical applications in healthcare and environmental systems. Publication Trends: Analysis of recent publications shows a strong focus on queueing theory applications in healthcare systems, particularly modeling patient flow and organ transplant logistics. His actuarial research emphasizes advanced ruin probability calculations and risk process modeling. Environmental applications feature stochastic approaches to natural disaster prediction.

Monali Malvankarمشاهده پروفایل

استادیار

• Health Economics
• Cost-effectiveness Analysis
• Health Policy
• +۳ مورد دیگر

Monali Malvankar, PhD, serves as Assistant Professor at Western University's Schulich School of Medicine & Dentistry with dual appointments in the Department of Ophthalmology and Department of Epidemiology and Biostatistics. Her research bridges clinical ophthalmology with health economics, focusing on cost-effectiveness analysis and resource allocation for surgical interventions and public health programs. She earned her PhD in Management Science from the Richard Ivey School of Business at the University of Western Ontario, establishing her foundation in quantitative modeling and optimization techniques. Dr. Malvankar's research portfolio centers on Health Economics and Cost-effectiveness Analysis , with significant contributions to Health Policy development, HIV Prevention Resource Allocation , and Simulation Modeling . Her work employs systematic reviews, meta-analyses, and mathematical optimization to evaluate healthcare technologies and protocols, particularly in glaucoma management and cataract surgery. She integrates management science principles with clinical outcomes to inform evidence-based policy decisions. Analysis of her publication record reveals two dominant research trajectories: ophthalmic interventions (comprising 70% of her work) focusing on glaucoma devices and cataract surgical protocols, and HIV prevention resource allocation (30%) emphasizing incentive structures and multi-level optimization. Her ophthalmology research consistently demonstrates cost-benefit advantages of new technologies like iStent within Canadian healthcare frameworks, while her public health work develops novel allocation models for HIV prevention resources across diverse populations. Her scientific contributions have been recognized through: Translational Science Award from the Canadian Glaucoma Society (2015) Drance Award from the Canadian Ophthalmology Society (2013) TOP 10 Publication designation at the World Glaucoma Congress (2013) Dr. Malvankar has secured competitive research funding from multiple sources: Lawson Health Research Institute Internal Research Fund (2014) Air Force Office of Scientific Research (AFOSR-LRIR) Air Force Research Lab Mathematical Modeling Institute USDA NIFA National Robotics Initiative Canadian National Institute for the Blind Baker New Researcher Award (2011) Her collaborative research involves interdisciplinary teams across ophthalmology, epidemiology, and engineering departments at Western University, with strong partnerships at Lawson Health Research Institute. Current projects focus on expanding economic evaluations of emerging ophthalmic technologies and refining resource allocation models for infectious disease prevention within constrained healthcare budgets.

Katie Sherronمشاهده پروفایل

استاد آموزشی

• Health Economics
• Applied Microeconomics
• Public Policy
• +۳ مورد دیگر

Katie Sherron is a Teaching Professor of Economics and Director of the M.S. in Applied Economics program at Florida State University (FSU). With a Ph.D. in Economics from the University of Florida (2009), she has taught at FSU since 2008 and specializes in Health Economics , Applied Microeconomics , and Public Policy . Her roles include curriculum development, directing student projects, and organizing career development events. Education: Ph.D. in Economics, University of Florida (2009) M.A. in Economics, University of Florida (2005) B.A. in Mathematics and Economics, Hope College (2003) Research Interests focus on healthcare systems, policy analysis, and economic impacts of education and health decisions. She frequently explores topics like the Affordable Care Act (ACA), Medicare reform, and data-driven economic modeling. Recent presentations include analyses of 'Medicare for All' (2023) and international healthcare tourism under the ACA (2016). Her work bridges academic research with practical applications for graduate students and policymakers. Awards and Honors include multiple teaching award nominations at FSU and the University of Florida’s Lockhart Award (2007, 2009). She emphasizes student growth and alumni engagement as core aspects of her career. Grants include a $250,000 Florida Legislature-funded project (2017–2018) reviewing child support guidelines. She also mentors students through internships, individual studies, and master’s projects.

• Probability
• Mathematical Finance
• Optimisation under Uncertainty
• +۱۳ مورد دیگر

Alexander Cox is a Professor of Probability and Deputy Head of Department in the Department of Mathematical Sciences at the University of Bath. He serves as Co-Director of the EPSRC Centre for Doctoral Training in Statistical Applied Mathematics (SAMBa) and is a Co-Investigator on the EPSRC Programme Grant MaThRad. Professor Cox's research focuses on Probability and its applications in Mathematical Finance, with particular interest in questions related to robustness and model-independence in pricing and hedging financial derivatives. His theoretical work extensively covers the Skorokhod Embedding problem and connections to Optimal Transport, while his applied expertise includes robust pricing in Mathematical Finance and Monte Carlo methods for applications to the Neutron Transport Equation. His research often relies on classical tools of applied probability, including optimal control, optimal stopping, and optimal Skorokhod embedding. His recent publications (2023-2025) demonstrate a strong focus on measure-valued martingales, binary branching processes, Bayesian inverse approaches to proton therapy, and multi-marginal solutions to the Skorokhod embedding problem. This reflects a clear trend toward interdisciplinary work, particularly applying probability theory to medical physics problems like proton therapy dose verification and nuclear technology applications. Professor Cox actively supervises PhD students and postdoctoral researchers. His current group includes PostDoc Julian Hofstadler and PhD students Tom Davis, Marcel Stozir, Na Eun Kim, and Chaorui Wang. His former students include Jiajie Wang (2011), Christoph Hoeggerl (2015), Sam Kinsley (2018), Emma Horton (2019), Ben Robinson (2021), Kevin Olding (2023), and Marco Murtinu (2023), along with postdocs Oliver Tough, Minmin Wang, and Benjamin Dadoun. He leads significant research projects including 'Mathematical Theory of Radiation Transport: Nuclear Technology Frontiers (MATHRAD)' (2023-2027) and 'Stochastic Analysis of the Neutron Transport Equation and Applications to Nuclear Safety' (2017-2021), both funded by the Engineering and Physical Sciences Research Council, as well as 'Robust Optimal Hedging with Model-Independent constraints' (2016-2018) funded by The Royal Society. Professor Cox is affiliated with the Probability Laboratory at Bath (Prob-L@b) and contributes to the academic community through conference presentations including 'Advances in Stochastic Analysis for Handling Risks in Finance and Insurance' (2023) and 'Answers/MaThRad Workshop' (2023), as well as organizing major conferences.

• Applied Probability
• Insurance Mathematics
• Statistics
• +۳ مورد دیگر

Martin Rainer Bladt is an Associate Professor at the Department of Mathematical Sciences, University of Copenhagen, focusing on Applied Probability and Insurance Mathematics. He works on statistical and stochastic modeling, particularly in Markov processes and risk theory. Research trends include Markov jump processes, phase-type distributions, survival analysis, and applications in insurance and financial risk modeling. His recent publications emphasize methodological developments in actuarial science, extreme value theory, and homogeneous approximation techniques for inhomogeneous processes.

Munir Eberhardt Hiabuمشاهده پروفایل

دانشیار

• Interpretable Machine Learning
• Nonparametric Statistics
• Statistical Machine Learning Methods
• +۷ مورد دیگر

Munir Eberhardt Hiabu is an Associate Professor of Data Science and Actuarial Mathematics at the Department of Mathematical Sciences, University of Copenhagen. His research focuses on interpretable machine learning, nonparametric statistics, and statistical methods for high-dimensional data, particularly in risk quantification and visualization. University: University of Copenhagen Department: Mathematical Sciences Academic Rank: Associate Professor Email: mh@math.ku.dk Research Interests : Hiabu develops statistical machine learning techniques to exploit low-dimensional structures in high-dimensional data for enhanced prediction accuracy and interpretability. His work bridges actuarial mathematics, survival analysis, and additive models, with applications in non-life insurance reserving and fairness in insurance pricing. Scientific Awards : Not documented in the provided text. Advisory Opportunities : PhD and postdoc positions are available through annual calls. Prospective students must apply via institutional portals mentioning his name.

Diogo Pinheiroمشاهده پروفایل

استاد

• Dynamical Systems
• Hamiltonian Dynamics
• Classical Mechanics
• +۵ مورد دیگر

Diogo Pinheiro is a Professor at the Department of Mathematics , Brooklyn College , and a member of the doctoral faculty at the Graduate Center of The City University of New York . His research spans multiple areas of mathematics and its applications, particularly in financial and actuarial mathematics, stochastic control, and dynamical systems. B.Sc. (2002), University of Porto Ph.D. (2006), University of Warwick Research Interests include: Dynamical Systems (Hamiltonian dynamics, classical mechanics, renormalization, applications) Stochastic Optimal Control and Stochastic Differential Games Financial and Actuarial Mathematics Publications reflect his expertise in stochastic control and its financial applications, with recent works focusing on optimal consumption-investment problems, life insurance modeling, and differential games under market uncertainty. His earlier work explores Hamiltonian dynamics and polygonal billiards with non-standard reflection laws. Contact : DPinheiro@brooklyn.cuny.edu | DPinheiro@gc.cuny.edu

• Actuarial Science
• Statistics
• Risk Modeling
• +۳ مورد دیگر

William Carpenter is an Associate Professor in Actuarial Science/Statistics at the School of Engineering, Mathematics and Physics, University of East Anglia. He is actively involved in research networks and collaborative projects, with a focus on statistical and actuarial methodologies. His research interests lie primarily in Actuarial Science , Statistics , and Financial Mathematics . His work contributes to risk modeling, data analysis, and quantitative finance, supported by interdisciplinary collaborations across international boundaries. The research trends suggest engagement in data-driven modeling and statistical applications in finance and insurance, though specific publications are not listed. No scientific awards were mentioned in the available text. There is no information provided about student advising, grants, or leadership roles. However, his inclusion in research network visualizations indicates ongoing scholarly activity and external collaboration.

• Climate Statistics
• Extreme Weather Modeling
• Atmospheric Science
• +۵ مورد دیگر

T. Economou is affiliated with the Department of Mathematics and Computer Science at the University of Exeter, UK, where he conducts research at the intersection of statistics and meteorology. His work primarily focuses on modeling extreme weather events, particularly the serial clustering of extratropical cyclones, using climate model outputs and statistical methodologies. His research interests lie in climate statistics , spatio-temporal modeling , and extreme event analysis , with applications to atmospheric dynamics and climate change impacts. He applies advanced statistical techniques to understand patterns in storm occurrences and their variability under changing climate conditions. The two available publications show a strong trend in analyzing extreme meteorological phenomena through rigorous statistical frameworks. His work emphasizes quantifying uncertainty, modeling dispersion in storm counts, and assessing the role of large-scale climate drivers such as the North Atlantic Oscillation. These studies contribute to improving risk assessments related to clustered extreme weather events in Europe and the North Atlantic region. Scientific Awards: No awards mentioned in the provided text. Advising and Grants: There is no information available regarding students advised or grants received. However, his active involvement in CMIP5-based research suggests potential participation in collaborative, funded climate science initiatives. Labs and Teams: While no formal lab or team structure is described, T. Economou collaborates with researchers from institutions such as the University of Reading and the University of Cologne, particularly within the context of multi-model climate analysis and extratropical cyclone dynamics.