جست‌وجوی استاد و پژوهشگر

Anas Abdallahمشاهده پروفایل

دانشیار

• Actuarial Science
• Insurance Mathematics
• Loss Reserving Models
• +۵ مورد دیگر

Anas Abdallah is an Associate Professor in the Department of Mathematics and Statistics at McMaster University. His research focuses on actuarial science, particularly in loss reserving, stochastic modeling, and the application of machine learning techniques such as recurrent neural networks (RNNs) to insurance risk analysis. He specializes in dependence modeling using copulas and Sarmanov distributions to address multivariate insurance claims and risk capital analysis. Education: PhD in Actuarial Science, Université Laval (2016) MSc in Mathematical Engineering and Modeling, Institut National des Sciences Appliquées (2009) Research Interests: Develops methods for multivariate loss reserving and risk capital estimation Applies hierarchical Archimedean copulas and RNNs to model dependencies between loss triangles Explores stochastic reserving techniques and alternative actuarial provisioning strategies Teaching: Instructor for courses such as Actuarial Models in Non-Life Insurance, Financial Markets and Derivatives, and Statistics of Financial Data Has taught across multiple levels including undergraduate (MATH 2FM3), graduate (STATS 4G03), and professional programs (MFM 704) Grants and Labs: No specific grants or lab affiliations explicitly listed, though his research indicates involvement in collaborative projects in actuarial science and financial mathematics.

Kristina Sendovaمشاهده پروفایل

دانشیار

• Ruin Theory
• Risk Theory
• Financial Modeling
• +۲ مورد دیگر

Kristina Sendova serves as an Associate Professor in the Department of Statistical and Actuarial Sciences at Western University. Her academic office is located in MC 268, and she can be contacted via email at ksendova@stats.uwo.ca. Education: Ph.D. from University of Waterloo (2004) Research Focus: Dr. Sendova's work centers on Ruin Theory and Risk Theory, with significant contributions to financial modeling applications. Her research bridges actuarial science and stochastic processes, developing mathematical frameworks for insurance risk assessment and financial stability analysis. She investigates temporal patterns in surplus processes, seasonal risk models, and compound Poisson applications. Publication Trends: Her recent publications (2013-2023) demonstrate consistent output in top-tier actuarial journals including Insurance: Mathematics and Economics and North American Actuarial Journal. Key themes include Parisian ruin extensions, dividend barrier strategies, and dual risk models with dependencies. Her work shows increasing complexity in modeling temporal dependencies and seasonal patterns within insurance risk frameworks. Scientific Awards: No scientific awards were documented in the provided materials. Advising and Funding: Dr. Sendova supervises five doctoral candidates and two master's students: PhD Candidates: Sherly Alfonso Sanchez, Diba Daraei, Amir Hossein, Vaneh Azarian, Xinghan Zhu MSc Students: Bernard Emmanuel Bartels, Parinaz Zarei Her research is supported by competitive funding: NSERC Discovery Grant Alliance Grant

Nicolas Vermeysمشاهده پروفایل

استاد

• Cyberjustice
• Information Security Law
• Artificial Intelligence in Law
• +۶ مورد دیگر

Nicolas Vermeys is a Full Professor at the Université de Montréal’s Faculty of Law, serving as Director of the Centre de recherche en droit public (CRDP) and Associate Director of the Cyberjustice Laboratory. He holds advanced degrees (LL.D. and LL.M.) from Université de Montréal and is a certified CISSP (Certified Information Systems Security Professional). His work focuses on intersections between technology and law, particularly cybersecurity, AI governance, and cyberjustice innovation. Education: LL.D. and LL.M. (Université de Montréal) Affiliations: Cyberjustice Laboratory, CRDP, Regroupement stratégique Research Interests: Cyberjustice systems, AI ethics in law, information security obligations, civil liability in digital contexts, and legal frameworks for emerging technologies. He frequently advises governments, legal professionals, and international organizations on these topics. Recent Article Trends: Explores cybersecurity challenges in judiciary systems, AI’s role in judicial processes, and privacy implications of smart technologies. Key themes include ODR systems, digital evidence reliability, and regulatory strategies for autonomous systems. Grants & Projects: Lead researcher on initiatives like Lex Electronica (digital law research) and Human-Centric Cybersecurity Partnership. Co-leads projects on judicial data processing, blockchain arbitration, and AI-driven legal tools. Labs & Teams: Directs CRDP (Canada’s largest legal research center) and co-manages the Cyberjustice Lab, which develops software solutions for justice system challenges. Collaborates internationally with institutions like William & Mary Law School and the University of Fortaleza.

Jan Ericssonمشاهده پروفایل

دانشیار

• Corporate Bonds
• Credit Derivatives
• Default Risk Premia
• +۴ مورد دیگر

Jan Ericsson is an Associate Professor of Finance and Director of the Master of Management in Finance program at McGill University's Desautels Faculty of Management. He holds a PhD in Financial Economics from the Stockholm School of Economics. His research focuses on risk premia in corporate bond and credit derivative markets, liquidity in fixed income markets, and sovereign default risk. Ericsson has published in top-tier journals like the Journal of Finance , Review of Financial Studies , and Journal of Financial Economics . He teaches derivatives, fixed income, and alternative investments at undergraduate, graduate, and executive levels, including courses like Applied Quantitative Finance and Derivatives . Ericsson has also designed credit derivative courses for executives in Montreal, Stockholm, and New York. His consulting work includes projects for the Swedish National Debt Office and a Nordic real estate firm. Ericsson has received grants from SSHRC, IFM2, and the Fonds Québecois. He is a Desmarais Faculty Scholar and served as a Marie Curie Fellow at the Catholic University of Louvain. His research spans empirical finance, structural models, and risk management strategies.

• Variable Annuities
• Pension Economics
• Stochastic Control
• +۲ مورد دیگر

Yumin Wang is Assistant Professor at the University of Manitoba's Asper School of Business and F. Ross Johnson Fellow at the Warren Centre for Actuarial Studies and Research. Her research focuses on: Variable and index-linked annuity products Pension economics and intergenerational risk-sharing Stochastic control applications in finance and insurance Optimal contract design for retirement vehicles Her recent publications examine target benefit pension plans, VIX-linked retirement structures, and variable annuity fee mechanisms. Research consistently demonstrates sophisticated mathematical modeling of retirement product design with emphasis on risk management and optimal policyholder-insurer alignment. Honors include the F. Ross Johnson Fellowship recognizing her contributions to actuarial science.

Li Haoمشاهده پروفایل

استاد

• Microeconomic Theory
• Game Theory
• Contract Theory
• +۶ مورد دیگر

Li Hao is a Professor at the Vancouver School of Economics , part of the Faculty of Arts at the University of British Columbia . His research focuses on microeconomic theory , game theory , contract theory , and decision-making under uncertainty . He earned his Ph.D. from the University of Chicago , USA. His work explores: Committee Decision-Making : Strategic delays, deadlines, and information aggregation in repeated voting games. Matching Markets : Sorting dynamics, early contracting rushes, and price competition in two-sided markets. Information Economics : Signaling, credible ratings, and optimal information disclosure in financial and labor markets. Recent publications analyze deadline effects (2012), organizational sorting (2010), dynamic incentives in sports (2009), and rating agency efficiency (2008). Key themes include equilibrium strategies, incentive compatibility, and market design. He is affiliated with UBC's Iona Building 201C and maintains a personal website for CV and publications.

Hemantha Herathمشاهده پروفایل

استاد

• Accounting Analytics
• Information Security Governance
• Financial Risk Management
• +۳ مورد دیگر

Hemantha Herath is a Professor of Accounting at the Goodman School of Business, Brock University. His research focuses on intersections of accounting analytics, information security governance, and financial risk management. He specializes in applying advanced statistical techniques like Monte Carlo simulations and Bayesian analysis to address challenges in managerial decision-making, regulatory compliance, and organizational performance. Key research themes include cybersecurity frameworks, cryptocurrency valuation, and the integration of balanced scorecards for strategic initiatives. His work frequently explores real-world applications in sectors such as winemaking, timber harvesting, and pandemic-era technology adaptation. Dr. Herath’s contributions bridge theoretical models with practical implementations in corporate social responsibility, environmental sustainability, and cost-volume-profit analysis. His publications span academic journals and industry reports, emphasizing methodological rigor and actionable insights. Notable areas of exploration include cyber-insurance pricing frameworks, regulatory pressures on small businesses, and the ethical dimensions of cryptocurrency.

Meghan Wintersمشاهده پروفایل

استادیار

• Health and Transportation
• Built Environment and Health
• Non-Motorized Travel
• +۶ مورد دیگر

Dr. Meghan Winters is an Assistant Professor in the Faculty of Health Sciences at Simon Fraser University (SFU). She holds a Ph.D. in Population and Public Health from the University of British Columbia (2011) and completed a postdoctoral fellowship at Vancouver Coastal Health Research Institute. Her research focuses on the interplay between health, transportation systems, and urban design, with particular emphasis on cycling safety, pedestrian infrastructure, and equity in active transportation. Education: PhD in Population and Public Health (2011, UBC); Postdoctoral work at Vancouver Coastal Health Research Institute (2011–2016). Research Interests: Built environment and health outcomes Non-motorized transport modes (cycling/walking) Equity in urban mobility Public health policy interventions Age-friendly infrastructure Recent work highlights include analyzing pandemic-era street reallocations, evaluating bike theft impacts, and investigating 15-minute neighborhood models in Surrey, BC. She collaborates closely with local governments and health authorities to translate research into actionable policy. Grants and Advising: While specific funding details are not listed here, her extensive publications indicate sustained research partnerships and advisory roles in urban health initiatives. Labs/Teams: Affiliated with SFU’s Urban Studies Program and active in interdisciplinary health geography networks.

• Labor Economics
• Applied Econometrics
• Policy Evaluation
• +۵ مورد دیگر

Xingfei Liu, PhD, is an Associate Professor in the Department of Economics at the University of Alberta's Faculty of Arts. His research focuses on labor economics and applied econometrics, with an emphasis on policy evaluation related to gender wage gaps, female labor participation, labor market institutions in China, and immigrant assimilation in the U.S. and Canada. He teaches courses such as Introductory Econometrics (ECON 399) and Econometric Theory and Applications (ECON 598), offering both undergraduate and graduate instruction in econometric methodologies. His research explores how public policies impact labor market outcomes, particularly for disadvantaged groups. Notable areas include the effects of housing policy on occupational mobility in China, the economic assimilation of immigrants, and the role of education expansion on crime reduction. Dr. Liu’s work employs advanced econometric techniques to analyze large datasets, providing evidence for policy design and evaluation. His publications span topics like hukou system reforms in China, risk attitudes influencing migration decisions, and the underestimation of U.S. immigrant earnings growth. While no awards are listed, his contributions to labor economics and policy analysis have been disseminated through peer-reviewed journals such as the China Economic Review and Quantitative Economics .

Utsav Sadanaمشاهده پروفایل

استادیار

• Mathematical optimization
• Machine learning
• Game theory
• +۵ مورد دیگر

Utsav Sadana is an Assistant Professor of Operations Research in the Department of Computer Science and Operations Research (DIRO) at the University of Montréal. He holds affiliations with IVADO, CIRRELT, and GERAD research centers. His academic journey includes a postdoctoral fellowship at McGill University and a PhD in Management Science from HEC Montréal under Prof. Georges Zaccour. His research spans mathematical optimization, machine learning, and game theory with applications in decision-making under uncertainty. Key interests include entropic risk measures, impulse control in differential games, and contextual optimization methods. His work integrates theoretical foundations with practical applications in security, insurance, and technology adoption. His recent publications demonstrate a strong focus on distributionally robust optimization, risk-averse decision making, and game-theoretic approaches to dynamic systems. The 2025 European Journal of Operational Research survey synthesizes advances in contextual optimization, while his 2023 INFORMS Journal paper establishes the value of randomized strategies in network security contexts. As an educator, he teaches Methods of Operations Research (IFT-6575) and Dynamic Programming (IFT-6521) at the University of Montréal, and previously taught Business Statistics at McGill University. Lead researcher on Decision-making in dynamical systems (2024-2030) funded by NSERC Discovery Grant Co-researcher on Integration of Environmental Data in Urban Planning (2024-2026) with MITACS Acceleration funding His research methodology combines theoretical rigor with computational implementation, evidenced by his GitHub repositories containing optimization solvers and experimental code for risk analysis.

Thorsten V. Koepplمشاهده پروفایل

استاد

• Macroeconomic Theory
• Financial Market Infrastructure
• Blockchain Economics
• +۴ مورد دیگر

Thorsten V. Koeppl is a Professor of Economics at Queen's University and holds the Robert McIntosh Fellow and RBC Fellow titles. He serves as the M.A. Placement Officer. His research focuses on Macroeconomic Theory, Financial Market Infrastructure, Blockchain Economics, and Insurance & Aggregate Risk. He teaches advanced courses like ECON 815 (Macroeconomic Theory) and has advised numerous doctoral students including current advisee Sihui Ong. Education: Vordiplom (University of Eichstätt-Ingolstadt), Lic.rer.pol. (University of Basel), Ph.D. (University of Minnesota). Professional roles include CD Howe Institute Scholar and member of its National Council, alongside teaching at the European University Institute's Florence School of Banking and Finance. Recent research emphasizes blockchain applications (DeFi, CBDCs), macroeconomic policy frameworks, and financial infrastructure. Key publications include analyses of cryptocurrency economics and central bank balance sheets. Awards include the Doug Purvis Memorial Prize (2023) for work on the Bank of Canada's monetary policy. Grants include SSHRC funding for 'Payments and Privacy' research and collaborations with institutions like the Financial Services Regulatory Authority of Ontario (FSRA). Professional activities span global workshops on cryptoassets, central banking, and digital payment systems. Labs/Teams: Active in Queen's Economics Department (QED) and collaborates with international institutions like the ECB-SSM and CD Howe Institute on regulatory frameworks for emerging financial technologies.

Jeffrey Brubacherمشاهده پروفایل

استاد

• Injury Prevention
• Road Safety
• Substance Use
• +۳ مورد دیگر

Jeffrey Brubacher is a Professor in the Department of Emergency Medicine at the University of British Columbia (UBC) Faculty of Medicine . He serves as Director of both the Vancouver General Hospital Emergency Medicine Research Program and the Road Safety and Public Health Research Lab at UBC. Degrees: MD, M.Sc. His research focuses on injury prevention and road safety , with special emphasis on impaired driving , active transportation , and substance use and injury . Key studies examine cannabis and alcohol impacts on driving, medication-related collision risks, and trauma outcomes. Scientific Awards: Recipient of the 2023 Research Excellence Staff Award at UBC His recent publications (2025-2024) demonstrate expertise in motor vehicle collision risk factors , substance use epidemiology , trauma care systems , and policy evaluation . Studies span cannabis impairment, cardiac device safety, pedestrian injuries, and healthcare cost analysis.

Shu Liمشاهده پروفایل

دانشیار

• Risk Theory
• Ruin Theory
• Stochastic Modeling
• +۴ مورد دیگر

Shu Li is an Associate Professor in the Department of Statistical and Actuarial Sciences at Western University's Faculty of Science. Their research focuses on risk theory, ruin theory, stochastic modeling, and predictive analytics in insurance and finance. Recent work includes advancements in generalized drawdown processes, active learning applications for variable annuity portfolios, and generalized Poisson regression models for insurance claims. Publications frequently appear in top-tier journals like Insurance: Mathematics and Economics and ASTIN Bulletin. Scientific awards include professional designations as Associate of the Society of Actuaries (ASA) and Associate of the Canadian Institute of Actuaries (ACIA). They supervise graduate students in research areas related to financial risk management and contribute to Canada’s Financial Wellness Lab.

R. Keith Freelandمشاهده پروفایل

دانشیار

• Mathematical Finance
• Financial Risk Management
• Actuarial Science
• +۲ مورد دیگر

R. Keith Freeland is an Associate Professor Teaching Stream at the University of Waterloo , specializing in Mathematical Finance and Financial Risk Management . He serves as the Director/Advisor for the Business Administration and Mathematics Double Degree program and teaches courses such as ACTSC 231 (Mathematics of Finance), MATBUS 470 (Derivatives), and MATBUS 472 (Risk Management). Education: Bachelor of Science in Actuarial Science, University of Calgary PhD in Business Administration, University of British Columbia American Statistical Association (ASA) designation, Society of Actuaries (1991) Research Interests: Freeland's research historically focused on equity-linked insurance products and discrete-valued time series , contributing to statistical modeling for financial and actuarial applications. His publications include methodological advancements in categorical ARMA models and Poisson autoregression. Awards and Recognitions: ASA designation from the Society of Actuaries, reflecting expertise in statistical applications and actuarial science (1991) Teaching and Publications: Freeland transitioned from a research career to focus on teaching, maintaining an active role in curriculum development. His refereed publications (2004–2012) highlight innovative approaches to modeling count data and financial risk.

Lisa Gaoمشاهده پروفایل

استادیار

• Insurance Risk Modeling
• Spatial Statistics
• Predictive Analytics
• +۳ مورد دیگر

Lisa Gao is an Assistant Professor in the Department of Actuarial Science at the University of Waterloo. Her research focuses on insurance risk modeling, spatial statistics, predictive healthcare analytics, and biomarker-driven disease differentiation. She is affiliated with the Actuarial Science faculty and can be contacted at lisa.gao@uwaterloo.ca. Her work integrates environmental and medical data to address challenges in insurance claims management, healthcare policy, and autoimmune disease diagnosis. Notably, she has developed spatial models for insurance loss prediction and pioneered biomarker research for distinguishing psoriatic arthritis from psoriasis. Her articles span interdisciplinary topics including weather-related property insurance modeling, causal analysis of healthcare delays, and novel biomarker validation for autoimmune diseases. She holds no listed scientific awards but demonstrates a strong publication record in actuarial science and medical research. No grants, advising relationships, or specific laboratories are explicitly mentioned in the provided text.