جست‌وجوی استاد و پژوهشگر

Thorsten Moenigمشاهده پروفایل

دانشیار

• Actuarial Science
• Insurance Economics
• Applied Game Theory
• +۶ مورد دیگر

Thorsten Moenig serves as Associate Professor in the Department of Risk, Actuarial Science and Legal Studies at Temple University's Fox School of Business, where he directs the Actuarial Science Masters’ program and teaches undergraduate and graduate courses including Theory of Interest, Long-Term Actuarial Modeling, and Actuarial Corporate Finance. His academic credentials include a Master’s degree in Actuarial Science from the University of Connecticut and a PhD in Risk Management and Insurance from Georgia State University. He maintains professional designation as an Associate of the Society of Actuaries (ASA). Dr. Moenig's research program bridges actuarial science, insurance economics, and behavioral decision theory, with concentrated expertise in retirement income products. His work critically examines variable annuities and RILAs through the dual lenses of insurer valuation/hedging challenges and policyholder behavioral responses to complex guarantees. Recent publications demonstrate sophisticated integration of stochastic modeling, dynamic programming, and experimental economics to address market imperfections in insurance product design. Analysis of his 15 most recent publications reveals dominant research trajectories in retirement product innovation (particularly RILAs), nuanced exploration of policyholder behavior under uncertainty, and methodological advances in valuation techniques. The corpus shows increasing interdisciplinary convergence between traditional actuarial science and behavioral economics, with growing emphasis on practical implications for product design in incomplete markets. His scholarly recognition includes: 2017 Redington Prize from the Society of Actuaries Two Outstanding Teacher Awards by Gamma Iota Sigma's Sigma chapter As program director and editorial board member of the Journal of Risk and Insurance, Dr. Moenig actively shapes actuarial education and research discourse. His teaching portfolio spans foundational theory (AS 2502/5101 Theory of Interest) to advanced applications (AS 5126 Option Pricing), reflecting comprehensive expertise across the actuarial curriculum. Current research directions suggest continued exploration of behavioral aspects in retirement product markets and computational advances in complex guarantee valuation. He leads Temple University's Actuarial Science Masters’ program, overseeing curriculum development and academic operations for this specialized graduate track within the Risk, Actuarial Science and Legal Studies department.

Yue Zhangمشاهده پروفایل

دانشیار

• Service and Healthcare Operations
• Supply Chain Design
• Facility Location
• +۴ مورد دیگر

Dr. Yue Zhang is an Associate Professor in Operations Management at the John B. and Lillian E. Neff College of Business and Innovation , University of Toledo . His research focuses on service and healthcare operations management, supply chain design, facility location, and logistics optimization. Education: Ph.D. in Operations Management, Desautels Faculty of Management, McGill University (2009) M.Sc. in Management Science and Engineering, Tsinghua University (2003) B.Sc. in Management Information Systems, Tsinghua University (2001) His work spans healthcare facility network design , patient choice modeling , long-term care capacity planning , and retail network optimization . Publications appear in journals like Operations Research , European Journal of Operational Research , and Health Care Management Science . Recent research includes multi-criteria surgery scheduling , streetlight location optimization , and preventive healthcare network design , emphasizing stochastic modeling , congestion management , and equity in healthcare access . Scientific Awards: Brooks Insurance Research Fellowship (2016-2018) Simonetti Graduate Teaching Award (2015) URAF Summer Research Award (2013) Junior Faculty Research Award (2012) He teaches courses in business statistics , prescriptive analytics , and supply chain management , and has contributed to book chapters on healthcare location models and business analytics.

Angel Doru CAȚARONمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Neural Networks
• Machine Learning
• +۳ مورد دیگر

Angel Doru CAȚARON is an Associate Professor at the Department of Electronic and Computers, affiliated with the Faculty of Electrical Engineering and Computer Science at the Technical University of Brașov. His research focuses on artificial intelligence, neural networks, and machine learning, with notable contributions to information theory and deep learning methodologies. His work emphasizes the application of transfer entropy in optimizing neural network architectures, particularly in feedforward and convolutional networks. He has also explored interdisciplinary applications such as mortality rate modeling in actuarial science using novel dependence measures. Dr. CAȚARON's publications span conferences like IEEE SSCI and journals like Entropy , reflecting a strong focus on computational intelligence and data-driven methodologies. His research bridges theoretical advancements in information theory with practical applications in machine learning and actuarial modeling. No scientific awards or grants are explicitly mentioned in the provided text. His academic profile highlights active contributions to doctoral supervision and research in computational fields, though specific student or lab details are not detailed here.

• Actuarial Mathematics
• Risk Theory
• Ruin Theory
• +۵ مورد دیگر

Chadjiconstantinidis Stathis is a Professor at the Department of Statistics and Insurance Science, University of Piraeus. He earned his Doctorate in Statistics (1990) and Diploma in Mathematics (1985) from Aristotle University of Thessaloniki. His academic roles include undergraduate and postgraduate teaching across multiple institutions including the University of Athens and Athens University of Economics and Business. Research Focus: His work spans actuarial mathematics, risk theory, and statistical optimization. Primary domains include: Ruin theory and bankruptcy modeling in insurance contexts Collective risk models with dependencies Optimal experimental designs for statistical efficiency Reliability theory and stochastic pattern analysis Publications: His 15 most recent articles show consistent focus on risk modeling (compound processes, ruin probabilities) and statistical design optimization (D-optimal cyclic designs). Actuarial mathematics dominates newer works (2005–2013), while earlier publications emphasize experimental design combinatorics. Academic Leadership: Department President (2007–2009) Director of Master’s Program in Actuarial Science & Risk Management (2007–2011) Deputy Chairman of Actuary Licensing Committee (Ministry of Finance) Senate Member at University of Piraeus (1997–1998, 2007–2009) Doctoral Supervision: Mentored dissertations on risk theory and statistics pedagogy. Current advisees not specified.

• Partial Differential Equations
• Integral Equations
• Inverse Scattering Problems
• +۳ مورد دیگر

Vassilios Sevroglou is a Professor at the Department of Statistics and Insurance Science, University of Piraeus, School of Finance and Statistics. His academic career spans since 2002, with roles including Assistant Lecturer (2002-2006) and Lecturer (2007-2011) at the same university, and visiting positions at the University of Ioannina. He holds a PhD in Applied Mathematics and a bachelor's degree in Mathematics from the National and Kapodistrian University of Athens. His research focuses on Partial Differential Equations, Integral Equations (Riesz-Fredholm Theory), and inverse scattering problems in elasticity and acoustics. Key areas include 2D/3D elastic wave scattering, thermoelastic interactions, chiral media applications, and computational methods for boundary value problems. The 15 most recent articles highlight advancements in chiral electromagnetic scattering, stochastic boundary value problems, thermoelastic wave interactions, and numerical reconstruction techniques. These works emphasize inverse problems, Wiener chaos expansions, and regularization methods in acoustics and elasticity. Teaching activities encompass Calculus, Differential Equations, Stochastic Finance, and advanced applied mathematics courses. No specific scientific awards or lab affiliations are mentioned in the provided texts.

• Actuarial Science
• Insurance Mathematics
• Credibility Theory
• +۵ مورد دیگر

Georgios Pitselis is an Assistant Professor in the Department of Statistics and Insurance Science at the University of Piraeus, Greece, where he has held academic positions since 1999, obtaining tenure in 2011. His career includes visiting professorships at KU Leuven (via BF Senior Fellowship), Concordia University, and the Catholic University of Rio de Janeiro, alongside editorial roles for leading actuarial journals including Insurance Mathematics and Economics . His educational background features a PhD in Statistics and Actuarial Sciences (1998) from the University of Montreal, an MSc in Statistics and Mathematics (1986), and a BSc in Mathematics with Statistics specialization (1983), both from Concordia University. Pitselis' research centers on credibility theory applications in insurance and risk management, with emphasis on robust estimation techniques, Solvency II compliance, mortality/longevity modeling, and non-life risk quantification. His work bridges theoretical statistics with practical insurance challenges, particularly through quantile regression frameworks and multi-population mortality forecasting. Recent publications (2016-2022) demonstrate a cohesive trajectory integrating credibility models with modern statistical methods for insurance applications. Key trends include hierarchical credibility approaches for multi-population mortality, robust loss reserving under data scarcity, and risk measure development within quantile regression frameworks – often applied to Greek insurance markets and pension systems. BF Senior Fellowship (awarded for KU Leuven visiting positions in 2014 and 2015) As an active conference organizer and editorial board member, Pitselis has contributed to the academic infrastructure of actuarial science through workshops on Solvency II, the International Congress on Insurance Mathematics and Economics, and special journal issues. His professional service includes referee roles for major journals and research councils, though specific grant funding isn't documented in the source material. While no dedicated research labs are mentioned, his collaborative work with institutions like KU Leuven and involvement in Greek actuarial workshops indicate participation in broader research networks focused on insurance risk quantification and regulatory compliance.

• Actuarial Science
• Financial Strategy
• Derivative Pricing
• +۵ مورد دیگر

Dr. Colin Zhang is a Senior Lecturer at Macquarie University's Department of Actuarial Studies and Business Analytics. He holds a B.Com (Actuarial Studies), B.Com (First Class Honours in Actuarial Studies), and a PhD in Applied Finance and Actuarial Studies, all from Macquarie University. His research focuses on life cycle models, optimal control, financial strategy, and derivative pricing. Key areas include insurance demand analysis, retirement planning, and aged care economics. Recent work addresses topics like hyperbolic discounting in annuity demand, tornado loss trends, and machine learning applications in aged care duration modeling. Dr. Zhang has been awarded the Adobe Innovation Grants (2021) and the MQBS Research Impact Award (2022). He has contributed to teaching innovations, including AI-driven assessment tools and augmented reality in commerce education. His projects span financial modeling, aged care policy analysis, and educational technology. Collaborations include research on retirement villages, disability income insurance hedging, and residential aged care cost tools.

Gijsbert Zwartمشاهده پروفایل

دانشیار

• Economics
• Industrial Organization
• Real Options Theory
• +۷ مورد دیگر

Dr. Gijsbert Zwart is an Associate Professor at the University of Groningen's Faculty of Economics and Business, affiliated with the Department of Economics, Econometrics & Finance — Management. His research focuses on industrial organization, real options theory, and contract theory with applications in regulated markets, health insurance, and media competition. He holds a PhD and has been active in academia since at least 2002. Research Interests: Analysis of market power dynamics and adverse selection in regulated industries Optimal policy design for investment incentives under uncertainty Risk adjustment mechanisms in health insurance markets Platform competition and digital market strategies Energy network regulation and stochastic cost modeling Recent Research Trends: His work increasingly emphasizes real options analysis in investment decisions, particularly in energy and health sectors. Recent publications address regulatory frameworks for network expansion, moral hazard mitigation in insurance, and strategic behavior in multi-platform markets. Teaching: He teaches corporate finance, energy finance, competition policy, and practical pricing using Python. Courses include Corporate Finance for MSc Finance and Competition Policy (MSc Economics) . No scientific awards explicitly listed in the provided materials. His research has been published in journals like Journal of Health Economics , De Economist , and Journal of Economic Dynamics and Control .

ZHANG Xinyuمشاهده پروفایل

پژوهشگر ارشد

• Chronic diseases modelling
• Bayesian modelling
• Crossed mixed effects models
• +۱ مورد دیگر

ZHANG Xinyu is a Research Fellow at the Saw Swee Hock School of Public Health, National University of Singapore. Her research focuses on chronic diseases modelling using Bayesian methods and stochastic gradient MCMC algorithms, with current emphasis on frailty and cancers. She holds a BEc in Insurance from Fudan University, an MSc in Statistics from NUS, and a PhD in Statistics from NUS. Education: PhD in Statistics, National University of Singapore MSc in Statistics, National University of Singapore BEc in Insurance, Fudan University Her research interests include advanced statistical methodologies applied to public health challenges, such as developing large crossed mixed effects models. She contributes to initiatives like the Singapore Breast Cancer Cohort (SGBCC) and collaborates on strategic programs like Breast Cancer Prevention and Climate, Environment and Health. Her work bridges biostatistics, epidemiology, and health systems research. ZHANG Xinyu is involved in teaching within NUS Medicine and participates in interdisciplinary research teams, including those focused on public health genomics and health intervention policies. She actively engages in the School’s efforts to address global health priorities through innovative modelling approaches.

Jeroen Suijsمشاهده پروفایل

استاد

• Financial Accounting
• Disclosure Policy
• Game Theory
• +۶ مورد دیگر

Jeroen Suijs is a Professor of Financial Accounting at the Department of Business Economics, Erasmus School of Economics (ESE), Erasmus University Rotterdam. He is a Fellow of ERIM and has been affiliated with the institution since 2006. Research Interests : His work spans Finance, Accounting, Game Theory, and Stochastic Decision-Making, with a focus on disclosure policies, cooperative games, and sustainability reporting. Publications in journals like Journal of Accounting and Public Policy and Review of Accounting Studies reflect these interests. Publication Trends : His academic output from 2024 to 2001 emphasizes financial disclosure mechanisms, game-theoretic models for cooperative decision-making, and implications of regulatory frameworks in accounting. PhD Supervision : He has guided multiple PhD candidates, including: Marieke van der Poel (2003-2008) Xanthi Gkougkousi (2008-2012) Jeroen Koenraadt (2017-2022) Mengfan Liu (2018-2023)

Ryan Donnellyمشاهده پروفایل

مدرس

• Mathematical Finance
• Stochastic Control
• Algorithmic Trading
• +۴ مورد دیگر

Ryan Donnelly is a Lecturer in Financial Mathematics at King's College London's Department of Mathematics, part of the Faculty of Natural, Mathematical & Engineering Sciences. He joined King's in 2019, following postdoctoral roles at Ecole polytechnique fédérale de Lausanne (Swiss Finance Institute) and the University of Washington (Department of Applied Mathematics). He holds a PhD in Mathematics from the University of Toronto. His research focuses on stochastic control, algorithmic trading, limit order book models, and market microstructure. Key contributions include work on optimal execution strategies, price impact modeling, and mean-field competition dynamics. Donnelly has published extensively in journals like Applied Mathematical Finance and SIAM Journal on Financial Mathematics . Teaching responsibilities include courses on stochastic analysis, financial markets, and stochastic control at King's College London. He has also taught at Imperial College London and the University of Washington, covering topics from investment science to high-frequency trading. His research group at King’s is internationally recognized for financial mathematics. No scientific awards are explicitly listed, though his work has garnered 154 citations. Active collaborations include institutions in Switzerland, the U.S., and the U.K., focusing on quantitative finance and stochastic modeling.

• Sensitivity Analysis
• Risk Management
• Actuarial Science
• +۳ مورد دیگر

Giovanni Rabitti is an Assistant Professor in the School of Mathematical & Computer Sciences at Heriot-Watt University, specializing in Actuarial Mathematics & Statistics. His research focuses on sensitivity analysis, risk management, and insurance mathematics with applications in data science and statistical modeling. He holds expertise in computational methods for high-dimensional datasets and game-theoretic approaches to variable importance. Research Interests include: Quantifying interactions in complex systems using Shapley effects Modeling extreme operational losses via copula-based strategies Classification frameworks for cyber risk taxonomies Development of computationally efficient risk assessment tools Key contributions span accelerating Shapley effect computations and advancing rating system construction through global sensitivity analysis. His work bridges actuarial science with modern data science techniques. Awards: 2019 Editors’ Award for Excellence in Reviewing (European Journal of Operational Research) Advising: No formal advisees listed. Collaborations include work with Dr. Andreas Tzougas and Dr. Amin Khorrami Chokami on risk analysis methodologies.

Ian Sharpeمشاهده پروفایل

دانشیار

• Actuarial Science
• Statistics
• Financial Mathematics
• +۳ مورد دیگر

Ian Sharpe is an Associate Professor in the Department of Actuarial Mathematics & Statistics at the School of Mathematical & Computer Sciences, Heriot-Watt University. His affiliation includes dual roles within the same academic unit, reflecting his expertise in actuarial and statistical disciplines. Based in Edinburgh, Scotland (EH14 4AS), he contributes to research and education in quantitative risk analysis and financial modeling. Though specific research projects or educational background details are not provided, his departmental affiliation suggests focus areas such as insurance mathematics, stochastic processes, and financial risk assessment. No publications or awards are listed in the provided text. Further details on grants, advising activities, or laboratory affiliations are unavailable from the current data. His contact information remains accessible via i.sharpe@hw.ac.uk for academic inquiries.

• Stochastic Processes
• Probability Theory
• Queueing Theory
• +۴ مورد دیگر

Vsevolod Shneer is an Associate Professor at Heriot-Watt University, affiliated with the School of Mathematical & Computer Sciences and the Department of Actuarial Mathematics & Statistics. His research focuses on stochastic processes, probability theory, and their applications to network dynamics, queueing systems, and epidemiological models. He actively contributes to the UN Sustainable Development Goals through interdisciplinary research. Key research interests include stability analysis, risk aggregation in heavy-tailed distributions, and the dynamics of contagion processes. His work bridges theoretical probability with practical applications in actuarial science, operations research, and mathematical biology. Recent publications explore optimal curing strategies in epidemic models, stochastic dominance in risk management, and network stability under stochastic demands. His research often involves collaboration with international teams, addressing complex systems through rigorous mathematical frameworks.

• Oceanography
• Climate Science
• Actuarial Science
• +۳ مورد دیگر

Andrew David Stott is an Associate Professor in the School of Mathematical & Computer Sciences at Heriot-Watt University, specifically within the Actuarial Mathematics & Statistics department. His research spans interdisciplinary areas including oceanography, climate science, and actuarial science. He has contributed to studies on planktonic foraminifera as proxies for ocean carbon cycling and model uncertainty in critical illness insurance pricing. Research Interests: Ocean carbon dynamics and paleoclimate reconstruction Risk assessment in financial and insurance contexts Actuarial modeling of health-related risks Publications reflect dual expertise in marine sciences and actuarial applications, with recent work emphasizing paleoceanographic reconstructions through microfossil analysis and earlier contributions to insurance product modeling under uncertainty. No scientific awards explicitly listed in provided materials. Advising activity and grant details not disclosed here. Affiliated with research teams studying both environmental and financial risk domains.