جست‌وجوی استاد و پژوهشگر

Maurice O'Connellمشاهده پروفایل

عضو هیئت علمی

• Causal Inference
• Medical Statistics
• Causal Machine Learning
• +۷ مورد دیگر

Dr. Maurice O'Connell is a Research Associate in Statistics and Causal Inference at the University of Manchester's Division of Informatics, Imaging & Data Sciences. He holds a PhD in Health Economics & Statistics from the University of Limerick (2014–2019) and has prior experience as an actuary. Previously, he worked as a postdoctoral researcher in biostatistics at the HRB Clinical Research Facility, University of Galway, and held lecturing/research roles at the University of Limerick and Munster Technological University. Education: PhD in Health Economics & Statistics, University of Limerick (2014–2019) Postgraduate Diploma in Education, University College Cork (2008–2009) BSc in Financial and Actuarial Mathematics, Dublin City University (2000–2004) Research Interests: His work focuses on causal inference, medical statistics, causal machine learning, and counterfactual prediction. He applies these methods to healthcare decision-making, including randomised controlled trials and observational studies. His recent projects include developing frameworks for clinical codelist automation and improving medication review processes in primary care. Key Contributions: His articles span Bayesian networks, population attributable fractions, and AI-driven healthcare solutions. He collaborates widely, with recent work addressing barriers to efficient medication reviews and optimizing clinical data tools. Grants & Teams: Involved in interdisciplinary research teams (e.g., DynAIRx project), focusing on AI applications in prescribing practices. Actively supervises PhD students.

Yonah Wilamowskyمشاهده پروفایل

استاد

• Statistics
• Operations Research
• Quantitative Methods in Law
• +۳ مورد دیگر

Dr. Yonah Wilamowsky is a Professor of Computing and Decision Sciences at Seton Hall University, specializing in Statistics and Operations Management. He holds a PhD in Operations Research from New York University (1975), an MS in Operations Research (1970), and a BA in Mathematics (1968) from Brooklyn College. Dr. Wilamowsky teaches courses such as Business Statistics, Quantitative Methods in Business, and Database Management Systems. His research focuses on applying statistics and quantitative methods to law, business processes, biblical studies, and higher education. Notable contributions include work on pooled testing optimization, healthcare reimbursement auditing, and historical mathematical analysis. He has published in journals like European Journal of Business and Management Research , Naval Research Logistics , and Hakirah . Dr. Wilamowsky has received academic honors including Phi Beta Kappa, Pi Mu Epsilon, and Sigma Xi (all 1968). He has also contributed to professional development through consulting in statistics and operations research, and has presented at conferences like the Decision Sciences Institute Annual Meeting. His teaching spans both undergraduate and graduate levels, emphasizing practical applications of quantitative techniques. Current research interests include statistical methodologies for legal and biblical studies, as well as operational efficiency in higher education administration.

Ally Ben Templinمشاهده پروفایل

استاد

• Law Pedagogy
• Contract Law
• Social Security Policy
• +۳ مورد دیگر

Professor Ally Ben Templin is a Professor of Law at Thomas Jefferson School of Law since 2003. She specializes in contract law pedagogy, social security reform, and comparative corporate governance. Previously worked as a magazine editor in the tech industry for 15 years before transitioning to academia. Holds a J.D. from UC Berkeley School of Law and B.A. from Grinnell College. Research focuses on optimizing legal education for modern students, particularly through integrated spaced repetition and metacognitive self-assessment techniques. Co-authored the widely adopted Contracts: A Modern Coursebook and developed interactive study aids including PracticePerfect Contracts and Law in a Flash series. Notable presentations include international conferences on contracts pedagogy and comparative policy studies in Japan, China, and Brazil. Visiting roles included Mercer University School of Law (2019-2020), University of North Dakota School of Law (2020-2021), and National Graduate Institute for Policy Studies (GRIPS) in Tokyo (2010-2021). Publications span social security policy analysis, Chinese corporate governance, and government investment strategies. No formal awards listed, though her pedagogical innovations have gained significant adoption in legal education. Teaching portfolio includes Contracts, Business Associations, Remedies, Administrative Law, and Constitutional Law. Active in international legal education initiatives, including summer programs in China and France.

• Demography
• Mortality Analysis
• Health Inequalities
• +۳ مورد دیگر

Professor Vladimir Canudas Romo is the Head of the School of Demography at the Australian National University (ANU), where he holds a formal academic rank of Professor. His career includes roles at institutions such as the Max Planck Odense Centre, Johns Hopkins Bloomberg School of Public Health, and the University of Copenhagen. Education: Bachelor in Actuarial Sciences and Mathematics (UNAM, 1993-1997) Master in Population Studies (FLACSO, 1997-1999) PhD from a joint program between University of Groningen (Netherlands) and Max Planck Institute for Demographic Research (Germany) Research interests focus on mortality disparities, formal demographic methods, and the intersection of demography with public health. Specific areas include analyzing mortality trends by socioeconomic status, disparities in longevity, and developing mathematical models to explain demographic phenomena. His work often addresses global health challenges like air pollution impacts and homicide mortality in Latin America. Recent articles emphasize topics such as life expectancy disparities, environmental health impacts, and pandemic effects on mortality. His research frequently employs advanced methodology to decompose demographic trends and inform policy. No scientific awards were explicitly mentioned in the provided texts. His advising and grants focus on demography-related projects, though specific details are not detailed here. He is affiliated with ANU's Institute for Climate, Energy & Disaster Solutions and contributes to interdisciplinary initiatives.

Roberto De Marchisمشاهده پروفایل

پژوهشگر

• Optimization Models
• Data Quality
• Knowledge Management
• +۳ مورد دیگر

Roberto De Marchis is a Researcher at Sapienza University of Rome, affiliated with the Department of Methods and Models for Economics, Territory, and Finance. His academic career focuses on quantitative approaches to financial and mathematical problems, with teaching responsibilities in Financial Mathematics for Economics and Finance programs. Role: Ricercatore (Researcher) Department: Methods and Models for Economics, Territory, and Finance Email: roberto.demarchis@uniroma1.it Research Interests: His work spans optimization models, data quality, and knowledge management. Specific areas include numerical methods for integral equations, financial option pricing, ruin probability analysis, and fractional calculus applications. Publication Trends: He specializes in mathematical finance and applied mathematics, particularly in computational approaches for financial derivatives and risk modeling. His publications demonstrate interdisciplinary applications of mathematical theory to economic and financial systems. Teaching: Coordinates Financial Mathematics courses (channels N-Z and A-L) and co-authored a key textbook in the field.

• Mathematical Finance
• Computational Finance
• Actuarial Science
• +۵ مورد دیگر

Antonio Luciano Martire 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. He teaches courses including Computer Science and Excel Laboratory for Business and Quantitative Finance, with office hours held on Wednesdays from 11-12 AM. His educational background includes a Bachelor's Degree in Mathematics (2008), Doctorate in Mathematics for Economic and Financial Applications (2012), and a Specialization Diploma in Applied Econometrics (2014), all from Sapienza University of Rome. Martire's research focuses on mathematical finance, computational methods, and actuarial science, with particular expertise in Volterra integral equations, options pricing models, and quantitative finance applications. His work bridges theoretical mathematics with practical financial applications, developing numerical methods for complex financial instruments and insurance products. His recent publications (2020-2024) demonstrate a consistent research trajectory in developing numerical solutions for integral equations with applications to financial derivatives, insurance products, and cryptocurrency markets. The research shows increasing sophistication in computational approaches, including neural network applications to fractional calculus problems. Martire has extensive teaching experience, having taught Financial Mathematics Laboratory and Quantitative Finance courses since 2013. His technical expertise includes scientific software (Matlab, Mathematica, R, STATA) and programming languages (C/C++).

Georgios Aivaliotisمشاهده پروفایل

مدرس

• Financial Mathematics
• Actuarial Mathematics
• Stochastic Control
• +۱۰ مورد دیگر

Dr. Georgios Aivaliotis is a Lecturer in the School of Mathematics at the University of Leeds, part of the Faculty of Engineering and Physical Sciences. His work bridges theoretical and applied domains in probability, statistics, and machine learning, with strong applications in financial and actuarial sciences and data analytics. His research focuses on: Stochastic control in portfolio selection and agent remuneration Robust temporal pattern mining from time-stamped data Data analytics with applications in fintech and survival analysis Modeling heterogeneous temporal datasets His recent work is supported by major grants including the EPSRC-funded QuantiCode project and an Alan Turing Institute initiative on modeling joint effects in temporal, heterogeneous data. These projects involve collaboration with industry partners such as CallCredit, Jet2, and Leeds City Council. He is recognized as an Alan Turing Fellow, highlighting his contributions to data science and interdisciplinary research. His work emphasizes both methodological innovation and real-world impact. Dr. Aivaliotis has played a key role in academic leadership and curriculum development, having led the design and accreditation of the BSc Actuarial Mathematics program and contributed to the MSc Financial Mathematics and the new MSc in Financial Technologies. He teaches across undergraduate and postgraduate programs in financial and actuarial mathematics. He is affiliated with the Research Group in Probability, Stochastic Modelling and Financial Mathematics and is an associate member of the Leeds Institute for Data Analytics (LIDA). His current postgraduate researchers include Baitshephi Mashabe, Yaojun Zhang, Alfensi Faruk, and Mingrui Zhang.

• Mathematics Education
• Differential Equations
• Linear Algebra
• +۳ مورد دیگر

Andrew Abian is an Assistant Teaching Professor at the Division of Engineering & Mathematics within the School of Science, Technology, Engineering & Mathematics at the University of Washington Bothell. He holds a Master of Science in Physics from the University of Washington and a Bachelor of Science in Mathematics with a minor in Physics from the University of Iowa. His teaching experience spans from foundational mathematics courses like Pre-Algebra to advanced topics including Differential Equations and Matrix Algebra, with prior roles at community colleges in Seattle and Austin. Education: University of Washington, Seattle, WA - M.S. Physics University of Iowa, Iowa City, IA - B.S. Mathematics with Minor in Physics Andrew integrates his interdisciplinary background in physics, mathematics, and software development into his pedagogy. He has led month-long University of Washington Study Abroad programs to Europe, blending global perspectives with STEM education. His current focus includes undergraduate mathematics instruction and curriculum development. Prior to his academic career, Andrew worked as an actuarial analyst and software developer. His contact information includes office location DISC-352U and phone number 425-352-3264.

• Risk Analysis
• Actuarial Science
• Insurance Economics
• +۳ مورد دیگر

Montserrat Guillén Estany is a Professor of Quantitative Methods for Economics and Business at the University of Barcelona's Faculty of Economics and Business since 2001. She serves as Vice-Secretary of the Governing Board at the Royal Academy of Economic and Financial Sciences (RACEF) and directs the consolidated Risk in Finance and Insurance research center (UBriskcenter), which comprises 25 permanent researchers and 25 international affiliates. She also holds an Honorary Visiting Professorship at City, University of London. Bachelor of Science in Mathematics (Mathematical Statistics), University of Barcelona (1987) PhD in Economics and Business Administration, University of Barcelona (1992) Master's in Data Analysis, University of Essex, UK Visiting researcher: University of Texas at Austin, University of Paris II, University of California-Berkeley, University of Cambridge Her research focuses on risk analysis and actuarial science , particularly developing statistical methods for insurance applications. She pioneered work in operational risk modeling and quantitative approaches to insurance economics, establishing herself as the top-cited woman in Actuarial Sciences and second in Insurance. Her work bridges theoretical statistics with practical insurance industry applications, emphasizing computational methods and real-world data analysis. The 15 most recent publications demonstrate consistent leadership in actuarial methodology innovation , with increasing integration of machine learning techniques since 2020. Her research spans cyber risk, climate risk, longevity modeling, and regulatory compliance, maintaining strong connections to industry needs while advancing theoretical frameworks. Recent work shows particular emphasis on non-traditional data sources and computational approaches to complex risk scenarios. ICREA Academia distinction (2012, 2019) - only social sciences researcher to receive twice Casualty Actuarial Society honor (USA) Julio Castelo International Insurance Prize Honorary member, College of Actuaries of Catalonia Professor Guillén has supervised 17 doctoral theses at the University of Barcelona and co-supervised two internationally. She serves on numerous doctoral committees globally and participates in professor selection committees across Europe and North America. Her research has secured funding from Mapfre Foundation, BBVA Foundation, European Commission H2020, and other major institutions. She leads the UB-Zurich Chair of Insurance and UB-Mutualidad de la Abogacía Chair, focusing on actuarial innovation and aging economics research. As director of UBriskcenter, she leads a multidisciplinary team of 50 researchers conducting cutting-edge work in financial and insurance risk. The center maintains strong industry partnerships and international academic collaborations, particularly through the European Group of Risk and Insurance Economists which she previously presided over.

• Applied Microeconomics
• Microeconometrics
• Labor Economics
• +۸ مورد دیگر

Mattia Albertini is a Post-Doctoral Researcher at the Institute for Economic Research (IRE) within the Faculty of Economics at Università della Svizzera italiana (USI). He previously completed his Ph.D. at the Institute of Economics (IdEP), USI, and participated in the Swiss Program for Beginning Doctoral Students in Economics. He holds a Master of Science in Economics with a minor in Data Science from USI and a Bachelor in Economics from the University of Pavia. Bachelor in Economics, University of Pavia Master of Science in Economics (minor in Data Science), Università della Svizzera italiana Ph.D. in Economics, Università della Svizzera italiana Swiss Program for Beginning Doctoral Students in Economics, Swiss National Bank His research focuses on applied microeconometrics with applications in health, labor, public, urban, and environmental economics. A recurring theme in his work is the spatial dimension of economic outcomes, including residential integration, real estate market dynamics, and geographic proximity to borders or hazards. He integrates data science techniques, particularly programming in Python and STATA, to develop tools for empirical analysis and reproducible research. The collection of articles reflects a strong trend in applied econometrics, causal inference, and spatial analysis. His work spans health economics (e.g., benzodiazepine prescribing), labor and urban economics (e.g., migration, job accessibility), and environmental and insurance economics (e.g., natural hazard impacts). Methodologically, he engages with difference-in-differences, event study designs, spatial modeling, and text analysis, often building or applying computational tools to address research questions. He has contributed to teaching at both the Bachelor's and Master's levels, particularly in microeconomics, macroeconomics, and data-intensive courses such as Textual Analysis and Spatial Data for Economists. Teaching Assistant, Microeconomics A (Bachelor) Teaching Assistant, Macroeconomics B (Bachelor) Teaching Assistant, Textual Analysis and Spatial Data for Economists (Master) Mattia Albertini is actively involved in open science, sharing code for econometric methods, data visualization, and application development (e.g., a gluten-checking app) on GitHub. His interdisciplinary approach combines economic theory, statistical modeling, and computational tools to investigate real-world policy-relevant questions.

Vicki Zhangمشاهده پروفایل

دانشیار

• Actuarial Science
• Statistics Education
• Insurance and Financial Regulations
• +۴ مورد دیگر

Vicki Zhang is an Associate Professor (Teaching Stream) at the Department of Statistical Science, University of Toronto. She holds a Harvard Higher Education Teaching Certificate and has been recognized with the Faculty of Arts and Science Outstanding Teaching Award (2024) and a nomination for the UofT Early Career Teaching Award (2019). Fellow, Society of Actuaries (FSA) Associate, Canadian Institute of Actuaries (ACIA) PhD-ABD, Master's in Statistics and Applied Probabilities (University of California, Santa Barbara) Her research focuses on actuarial science pedagogy , integrating narrative and arts-based methods into technical education. She explores embedded ethics in finance , AI practices , and predictive modeling through a cross-disciplinary lens. Her work includes analyzing Chinese international students' self-segregation and developing pluralistic finance education frameworks. Recent publications examine STEAM pedagogy for financial literacy, critical finance education , and theatrical teaching methods in statistical sciences. These works span education theory , ethical AI , financial regulation , and cross-cultural dynamics . Nominated for UofT Early Career Teaching Award (2019) Winner of Faculty of Arts and Science Outstanding Teaching Award (2024) Book Uncalculated Risks (2014), shortlisted for Myrdal Prize (2015) She created the capstone course Insurance Products, Markets and Regulation with AXIS and redesigned actuarial curricula to incorporate data science and ethics. As Accreditation Actuary for the Canadian Institute of Actuaries’ University Accreditation Program, she bridges academia and industry standards.

Xuan Hien Nguyenمشاهده پروفایل

دانشیار

• Geometric Analysis
• Partial Differential Equations
• Mean Curvature Flow
• +۵ مورد دیگر

Xuan Hien Nguyen is an Associate Professor in the Department of Mathematics at Iowa State University's College of Liberal Arts and Sciences, where he holds the distinguished Dio Lewis Holl Chair for Applied Mathematics. He also serves as the Coordinator for Actuarial Science and Director of the Math Circles of Ames program, promoting mathematical engagement for K-12 students. His research lies in geometric analysis, focusing on: Mean curvature flow Gluing constructions using elliptic and parabolic PDEs Free boundary problems Fundamental gap problems He uses partial differential equations to construct surfaces with special geometric properties, contributing to the understanding of geometric evolution equations and spectral theory. Dr. Nguyen is recognized for his contributions through the prestigious Dio Lewis Holl Chair appointment. His service includes leadership in educational outreach and curriculum development in applied mathematics. He advises on academic and research matters in mathematics and leads the Math Circles of Ames, a program dedicated to nurturing mathematical talent in pre-college students through problem-solving workshops. Though formal advisees are not listed, his mentorship extends broadly through this initiative and departmental roles. He is affiliated with several professional organizations: American Mathematical Society Mathematical Association of America Association for Women in Mathematics These reflect his commitment to research, teaching, and inclusivity in the mathematical community.

Bogdanffy Lorandمشاهده پروفایل

استاد

• IoT Systems
• Control Engineering
• Simulation and Modeling
• +۳ مورد دیگر

BOGDANFFY Lorand is a Professor and Head of the Department of Automation, Computers, Electrical and Power Engineering at the Faculty of Mechanical and Electrical Engineering, UPET.RO. He holds a PhD and specializes in IoT systems, control engineering, renewable energy, and e-learning technologies. His research integrates simulation, modeling, and sensor networks into practical applications like smart urban management, solar tracking systems, and underground mining safety. His work spans interdisciplinary areas such as: IoT-enabled environmental monitoring for sustainable cities Computational methods in mining safety and risk analysis Development of e-learning platforms and educational software Advanced motor control systems and sensorless vector control His recent publications highlight trends in: Smart infrastructure and energy optimization Data-driven decision-making in insurance and risk management 360° imaging systems and mobile teleoperation No scientific awards are listed in the provided texts. His advising and grants focus on engineering education and industrial automation projects. He leads teams in developing control systems and renewable energy solutions.

Maria del Carmen Gonzalez Velascoمشاهده پروفایل

استاد

• Financial Economics
• Accounting
• Banking Systems
• +۴ مورد دیگر

Maria del Carmen Gonzalez Velasco is a Full Professor in the Faculty of Economic and Business Sciences at the University of León, Spain. She is affiliated with the Department of Business Management and Economics, where her academic focus lies in Financial Economics and Accounting. She leads key academic initiatives as Director of the Financial Economics Research Group (GIEF) and the Teaching Innovation Group in Financial Economics (GIDEFIN), and serves as Coordinator of the Master’s Degree in Actuarial and Financial Sciences (MUCAF). Her research interests are centered on Financial Economics , particularly the operation and significance of interbank markets, accounting practices, and financial systems. These interests are deeply rooted in her doctoral work and sustained through her leadership in research and teaching innovation groups. Her expertise contributes significantly to both academic and applied domains in finance and economics. The available data does not include recent publications, so no trend analysis of articles can be performed. Scientific Awards: Extraordinary End-of-Degree Award She has supervised PhD research, notably her own thesis under Dr. José Luis Fanjul Suárez, and leads major academic programs, indicating a strong role in academic mentoring and curriculum development. She is involved in teaching innovation and graduate program coordination, reflecting substantial academic leadership. There is no mention of external grants in the provided text. She leads two key academic groups: the Financial Economics Research Group (GIEF) and the Teaching Innovation Group in Financial Economics (GIDEFIN) , which focus on advancing research and pedagogy in financial economics.

• Quantitative Finance
• Stochastic Modeling
• Actuarial Science
• +۴ مورد دیگر

Mike Ludkovski is a Professor in the Department of Statistics and Applied Probability at UC Santa Barbara (UCSB). He serves as Co-Director of the Center for Financial Mathematics and Actuarial Research and Project Leader of the NSF-funded Pacific Alliance for Low-income Inclusion in Statistics & Data Science (Award #2221421). His research focuses on stochastic modeling with applications in quantitative finance, renewable energy systems, actuarial science, and environmental policy. Currently leads the Southern California Consortium for Data Science funded through the NSF CA Learning Lab. Recipient of NSF grant DMS-2407550 supporting work on stochastic modeling of water rights management. Research interests include: Gaussian process models for financial and demographic applications Optimal control in energy markets and battery storage systems Scenario-based decision-making under uncertainty Quantitative risk management in insurance and pensions Recent work emphasizes interdisciplinary applications such as: Extreme renewable energy scenario analysis Stochastic modeling of groundwater markets Machine learning for algorithmic trading