جست‌وجوی استاد و پژوهشگر

Michael Fernandezمشاهده پروفایل

مدرس

• Auditing
• Accounting
• Valuations
• +۱۳ مورد دیگر

Michael Fernandez is a Lecturer at DePaul University's Driehaus College of Business , affiliated with the School of Accountancy & MIS. He is also a partner in FGMK’s Audit and Accounting Practice and Quality Control Department, with extensive experience in auditing large multinational public companies and privately held corporations. Academic Degrees: Master of Science, Audit and Advisory Services, DePaul University, 2023 Master of Science, Accountancy, DePaul University, 2021 MBA, Strategy, Execution and Valuation & Business Strategy and Decision Making, DePaul University, 2017 BS, Accounting and Real Estate, DePaul University, 2007 His research and professional focus spans auditing, risk assessment procedures, internal controls, quality control systems, and accounting estimates. He specializes in entity and intangible valuations , with industry expertise across airline, aerospace and defense, manufacturing, medical device, pharmaceutical, nonprofit, oil and gas, real estate, and technology sectors. Michael’s career began at Deloitte’s audit practice, followed by roles at the Public Company Accounting Oversight Board (PCAOB) in Registration and Inspections, where he evaluated firm-level quality controls. He has held his Certified Public Accountant (CPA) license in Illinois since 2007, alongside certifications as a Certified Fraud Examiner (CFE) , Certified in Entity and Intangible Valuations (CEIV) , Accredited in Business Valuations (ABV) , and Certified in Strategy & Value Creation (CSV) .

Jiawei Limمشاهده پروفایل

مدرس

• Financial mathematics
• Applied probability
• Operations research
• +۳ مورد دیگر

Dr Jiawei Lim is a Lecturer in Financial Mathematics at the Department of Mathematics, College of Engineering, Design and Physical Sciences, Brunel University. His research focuses on financial mathematics, applied probability, and operations research, with specific interests in Parisian option pricing, excursion theory, and simulation of Levy processes. Research Trends His publications (2013–2020) emphasize stochastic modeling, martingale theory, and algorithmic solutions for financial derivatives. Key areas include Levy processes, Parisian options, and Brownian motion simulations. Education PhD in Statistics from the London School of Economics

Özden Gür Aliمشاهده پروفایل

استاد

• Retail Operations Management
• Healthcare Operations
• Forecasting
• +۴ مورد دیگر

Özden Gür Ali is a Professor at Koc University, affiliated with the School of Business under the Operations Management and Information Systems department. His research spans Retail Operations Management , Healthcare , Data Mining , and Predictive Analytics . PhD in Industrial Engineering from Rensselaer Polytechnic Institute (1994) Master’s in Industrial Engineering from Rensselaer Polytechnic Institute (1990) Bachelor’s in Industrial Engineering from Boğaziçi University (1989) His research focuses on predictive modeling in retail and healthcare policy analysis . He develops interpretable machine learning frameworks for demand forecasting, resource allocation, and public health interventions using observational data and causal inference . Recent work includes personalized choice models and dynamic churn prediction in private banking. He applies data fusion techniques to combine local and global data for disease burden estimation. His retail studies emphasize multi-period-ahead forecasting and sales prediction with driver-moderator frameworks .

Peggy Cenac-Guesdonمشاهده پروفایل

مدرس

• Statistics
• Probability
• Random Walks
• +۳ مورد دیگر

Peggy Cenac-Guesdon is a Lecturer-Researcher at the University of Burgundy, affiliated with the Institute of Mathematics of Burgundy (IMB) and the UFR Sciences and Technology. Her research focuses on probability theory, stochastic processes, and their applications to biological sequence analysis. Education: PhD in Applied Mathematics (2006, Université Paul Sabatier Toulouse III), HDR (Habilitation à Diriger des Recherches). Research Interests: Cenac's work spans variable-length Markov chains, persistent random walks, and stochastic algorithms for analyzing multidimensional data. She applies these methods to biological sequences via Chaos Game Representation (CGR), enabling novel pattern detection and taxonomic classification. Her theoretical contributions include central limit theorems for martingales and optimization techniques for risk indicators. Key Publications: Recent papers address multidimensional persistent random walks, variable-length memory chains, and stochastic algorithms for geometric medians in Hilbert spaces. These works intersect probability theory, dynamical systems, and computational biology. Projects: She developed the MyCGR library in Objective-Caml for DNA sequence analysis using CGR, linking algorithmic design with statistical modeling. Her collaborations span mathematics, computer science, and actuarial risk modeling.

• Mobility-as-a-Service
• Real Options
• Electric Mobility
• +۳ مورد دیگر

Tero Haahtela serves as a University Teacher at Aalto University's Department of Industrial Engineering and Management, focusing on systemic innovations in mobility and decision-making under uncertainty. His work bridges academic research with practical transportation and infrastructure challenges in Finland and internationally. Haahtela's research centers on Mobility-as-a-Service (MaaS) governance, electric mobility transitions, and real options theory applications. He examines regulatory frameworks for systemic innovations, sociotechnical transitions in transportation, and valuation methodologies for complex projects under ambiguity. His interdisciplinary approach integrates engineering, policy analysis, and financial modeling to address sustainable mobility challenges. Analysis of his publication history reveals dominant themes in Mobility-as-a-Service innovation (2016-2018), particularly regulatory challenges and cross-border implementation, alongside sustained contributions to real options theory since 2003. His electric mobility research (2013-2014) documents Finland's sociotechnical transition pathways, while healthcare applications (2016) demonstrate methodological versatility. Scientific recognition includes: ICoMaaS 2017 Best Paper Award for systemic MaaS governance research Haahtela actively collaborates with researchers including Teemu Surakka, Fabian Härri, and Anne Horila. His work informs transportation policy development and infrastructure planning, though specific grant details, student supervision records, or laboratory affiliations are not documented in the provided sources.

• Financial Econometrics
• Time Series Analysis
• GARCH Models
• +۴ مورد دیگر

Jean-Michel ZAKOÏAN is a Professor at ENSAE since 2007 and Professor of Applied Mathematics at Lille University (on secondment at ENSAE since 2008). He serves as a Research Fellow at CREST and previously headed the Finance-Insurance lab at CREST from 2007 to 2021. His academic affiliations reflect a strong connection between theoretical econometrics and practical financial applications. His research interests span across Financial Econometrics , Time Series Analysis , GARCH-type models , Dynamic risk measures , Unit roots and explosive processes , Functional and Long-Memory Time Series , and Nonstationary processes . His work bridges theoretical econometric methods with practical financial applications, particularly in volatility modeling and risk measurement. ZAKOÏAN's publications include co-authoring the influential book "GARCH models. Structure, Statistical Inference and Financial Applications" (2nd edition, 2019) and over 80 publications in top journals including Econometrica , Annals of Statistics , Journal of the Royal Statistical Society (Series B) , and Journal of the American Statistical Association . His research shows a consistent focus on developing and refining econometric methods for financial time series analysis, particularly in modeling volatility and risk. Associate Editor for Econometric Theory (2012-present) Associate Editor for Scandinavian Journal of Statistics (2019-2023) Associate Editor for Journal of Time Series Analysis (2013-present) Guest Associate Editor for Annals of Computational and Financial Econometrics (2011-2015) As an educator, ZAKOÏAN has supervised or co-supervised 13 defended PhD theses in Applied Mathematics and Economics. He teaches courses including Dynamic Models with Latent Variables, Financial Econometrics, and Introduction to Time Series Econometrics, reflecting his expertise in both theoretical and applied aspects of time series analysis.

Yuri A. Lawryshynمشاهده پروفایل

استاد

• Real Options Analysis
• Financial Engineering
• Computational Fluid Dynamics
• +۵ مورد دیگر

Yuri A. Lawryshyn serves as Professor and Joseph C. Paradi Chair in Information Engineering at the University of Toronto's Faculty of Applied Science and Engineering, where he directs the Centre for Management of Technology and Entrepreneurship (CMTE). His interdisciplinary work applies analytical and numerical methods to solve complex industry problems through academic-industry collaboration. His educational background includes: Diploma in Financial Engineering (2007), Schulich School of Business, York University MBA (2002), Richard Ivey School of Business, University of Western Ontario Ph.D. in Chemical Engineering and Applied Chemistry (1997), University of Toronto M.A.Sc. in Mechanical Engineering (1993), University of Toronto B.A.Sc. in Mechanical Engineering (1989), University of Toronto Professor Lawryshyn's research integrates financial engineering and computational fluid dynamics, with dual foci on real options valuation for investment decisions and UV disinfection modeling for wastewater treatment. His work emphasizes practical applications through industry partnerships, developing simplified theoretical frameworks accessible to practitioners while advancing technical solutions for environmental challenges. Recent publications (2011-2012) demonstrate consistent output across finance and environmental engineering domains. Financial research includes portfolio optimization using stochastic dominance and credit card fraud detection via meta-classification, while environmental work covers wastewater flotation dynamics and UV reactor validation. His publications consistently bridge theoretical modeling with industrial applications through collaborations with financial institutions and environmental technology firms. No specific scientific awards were mentioned in source materials. Through the CMTE, Professor Lawryshyn supervises 7-8 undergraduate thesis projects annually alongside graduate research, maintaining strong industry ties with Bank of Montreal (BMO), Canadian Imperial Bank of Commerce (CIBC), and Toronto Dominion (TD). His advising spans: Business Applications: HR systems, IT operations, market risk modeling, and trading strategies Quantitative Research: Project valuation, financial risk analysis, and stochastic modeling The Centre for Management of Technology and Entrepreneurship operates as an interdisciplinary hub connecting engineering and business disciplines, facilitating research partnerships that address real-world challenges in financial services and environmental technology sectors through applied projects and student engagement.

• Sustainable Construction Management
• Built Environment Leadership
• Sustainable Procurement
• +۵ مورد دیگر

Aigbavboa Ohis Clinton is a Professor at the University of Johannesburg 's Faculty of Engineering and the Built Environment. With over 684 publications and 3,546 citations, he leads the DSI/NRF Research Chair in Sustainable Construction Management and Leadership (SARChi). His work bridges academic excellence with practical solutions for the construction sector. Key affiliations: University of Rwanda, Cape Coast Technical University, University of Auckland Research locations: South Africa, Nigeria, Ghana, Zambia, Benin, Eswatini Clinton's research focuses on: Sustainable construction practices Advanced technology integration Waste management systems Policy-driven urban development Publications since 2014 demonstrate technical rigor and regional impact, particularly in developing nations. His work combines machine learning applications with traditional construction economics. Scientific Recognition : National Research Foundation (NRF) awardee European Commission sponsored research High-impact publications in leading journals

Owen Brownمشاهده پروفایل

دانشیار

• Accounting
• Auditing
• Auditor Judgment and Decision Making
• +۲ مورد دیگر

Owen Brown is an Associate Professor and holder of the KPMG-Thomas L. Holton Endowed Chair in Accounting at Baylor University, where he has served on the faculty since 2013. He teaches undergraduate and graduate courses in auditing and financial accounting, including ACC 5330 (Seminar in Auditing and Assurance Services) and ACC 5305 (Seminar of Financial Accounting). Education: PhD in Accounting, Virginia Tech University, 2013 MAcc, Auburn University, 2007 BSBA in Accountancy, Auburn University, 2006 Research Interests: Brown's research program investigates behavioral phenomena in auditing and accounting, with a focus on improving professional judgment and decision making. Key areas include auditor professional skepticism, the impact of persuasion tactics on internal control judgments, and investor reactions to audit quality disclosures. His work employs experimental methodologies to address cognitive biases and enhance audit effectiveness. Publication Trends: Analysis of Brown's publications (2016-2024) reveals sustained emphasis on behavioral auditing, with recent work (2023-2024) addressing social media's impact on auditor judgment and systematic reviews of social bonds in accounting. A dominant theme is mitigating cognitive biases like the outcome effect to strengthen professional skepticism and audit quality. Scientific Awards: No specific scientific awards, fellowships, or medals are documented, though he holds the prestigious KPMG-Thomas L. Holton Endowed Chair in Accounting. Advising and Grants: While Brown teaches advanced auditing seminars, the available text does not specify graduate student advising activities or research grant funding. His prior industry experience at PricewaterhouseCoopers informs his practical teaching approach and research relevance. Labs and Teams: No information about dedicated research laboratories or structured research teams led by Brown is provided in the source materials.

Krzysztof Echaustمشاهده پروفایل

دانشیار

• Financial Econometrics
• Financial Engineering
• Financial Mathematics
• +۴ مورد دیگر

Krzysztof Echaust is an Associate Professor at Poznan University of Economics and Business, affiliated with the Institute of Informatics and Quantitative Economics and the Department of Operations Research and Mathematical Economics. His work focuses on financial econometrics, risk management, and extreme value theory in financial markets. Current Position: Professor (Assistant) since 2015 Doctorate in 2005 Research interests include financial risk management, commodity market volatility, and hedging strategies. He has published 44 works with a total ministerial score of 1,641, emphasizing cross-market dependencies and extreme event modeling. His publications analyze tail risks, volatility spillover, and hedging effectiveness across energy, agricultural, and financial markets. Notable trends include cryptocurrency applications in portfolio protection and multi-asset risk mitigation frameworks. Co-author network includes Barbara Bedowska-Sojka's Lab and international collaborators like Małgorzata Just and Agata Kliber. He has supervised one promoted thesis and contributed to projects on market risk and financial engineering.

Gery Geenensمشاهده پروفایل

مدرس ارشد

• Nonparametric Statistics
• Semiparametric Regression
• Copula Modeling
• +۵ مورد دیگر

Dr. Gery Geenens is a Senior Lecturer in the School of Mathematics & Statistics at UNSW Sydney, specializing in nonparametric and semiparametric statistical methods. He holds a PhD in Sciences (Statistics) from Université catholique de Louvain (Belgium, 2008) and joined UNSW in 2009 after postdoctoral work at the University of Melbourne under Professor Peter Hall. His research focuses on developing flexible nonparametric models for statistical analysis, with particular expertise in copula modeling, functional data analysis, and high-dimensional density estimation. Key contributions include: Nonparametric copula-based conditional density estimation Wavelet-based multivariate density estimation with shape preservation Applications in sports analytics (e.g., football/soccer outcome modeling) Solutions to the "Curse of Dimensionality" in functional regression Recent publications demonstrate strong activity in dependence modeling and theoretical foundations of nonparametric statistics, with significant work on Sklar's theorem and Hellinger correlation. His research bridges theoretical advances with practical applications in finance, hydrology, and sports analytics. As Director of Postgraduate Studies (Coursework) and Associate Editor of "Statistics and Probability Letters", he actively contributes to academic service. His teaching portfolio includes core statistics courses for engineering and advanced probability. Current research is supported by UNSW Faculty Research Grants (2014-2016) and prior Early Career Research Grants (2010-2013). He co-supervises PhD candidates including Carlos Aya Moreno on wavelet-based density estimation.

Simone Cenciمشاهده پروفایل

مدرس

• Environment and Climate Finance
• Statistical Data Science

Dr. Simone Cenci is a Lecturer in Economics and Finance of Sustainability at the Institute for Sustainable Resources , part of the Bartlett School of Environment, Energy & Resources at University College London (UCL). His research focuses on corporate decarbonization strategies, climate risk management, and data-driven insights for sustainable investment and policy design. Education: PhD in Applied Statistics, Massachusetts Institute of Technology (2019) MSc in Physics, University of Pisa (2015) BSc in Physics and Astrophysics, Sapienza University of Rome (2012) His work bridges empirical analysis with sustainability finance, particularly in energy and energy-intensive sectors. Recent publications examine corporate environmental actions, greenhouse gas reporting gaps, and nonlinear dynamics in ecological systems. Scientific Awards: Rising Leaders Fellow, Aspen Institute UK He previously held academic positions as an Advanced Research Fellow at Imperial College Business School (2021-2024) and a postdoctoral research associate at Blackstone Credit (formerly DCI, LLC) in San Francisco (2019-2021). He welcomes collaborations with industry, government, and NGOs in climate finance and policy.

Ioannis Vlahavasمشاهده پروفایل

استاد

• Logic Programming
• Knowledge representation and Reasoning
• Automated Planning
• +۳ مورد دیگر

Ioannis Vlahavas is a Professor in the School of Informatics at Aristotle University of Thessaloniki since 2003, where he directs the Intelligent Systems Lab. He has held significant leadership roles including Chair of the School of Informatics (2003-2005, 2013-2017) and Dean of the School of Science and Technology at the International Hellenic University (2007-2016). His career spans over three decades with continuous contributions to artificial intelligence research and education. Education: Ph.D. in Computer Science, Aristotle University of Thessaloniki (1988) B.Sc. in Physics, Aristotle University of Thessaloniki (1982) Professor Vlahavas's research focuses on foundational AI areas including Logic Programming, Knowledge Representation and Reasoning, Automated Planning, and Machine Learning. His work bridges theoretical frameworks with practical applications in autonomous systems, healthcare diagnostics, and financial modeling. He has pioneered methodologies in reinforcement learning and multi-agent systems, with particular emphasis on personality emulation in gamified environments and transformer-based architectures for complex real-world problems. His recent publications reveal a strong trajectory toward deep reinforcement learning, transformer optimization, and low-resource language processing. Key application domains include autonomous driving (5 of 15 recent papers), biomedical text mining (particularly drug-drug interaction extraction), and personality modeling in gaming environments. There is notable cross-pollination between finance (portfolio theory applications, cryptocurrency trading) and AI methodology development. Scientific Awards: EurAI Fellow (2017) Professor Vlahavas has mentored numerous graduate students through PhD candidate programs and research projects. His leadership extends to organizing major international conferences including the 24th IEEE International Conference on Tools with AI (2012) and the 9th Hellenic Conference on Artificial Intelligence (2016). He serves on editorial boards and has guest-edited special journal issues on AI applications. He directs the Intelligent Systems Lab at Aristotle University, which operates as a multidisciplinary research hub focusing on machine learning, natural language processing, and intelligent system applications across healthcare, transportation, and finance sectors. The lab maintains strong industry connections including RealMINT, the university spin-off where he serves as CEO.

Klaus Schenk-Hoppeمشاهده پروفایل

استاد

• Financial Economics
• Financial Markets and Trading
• Computational Economics and Finance
• +۵ مورد دیگر

Klaus Schenk-Hoppe is a Professor of Financial Economics at the University of Manchester, UK, since January 2015. He also holds an Adjunct Professor position at the Norwegian School of Economics (NHH). His academic career spans multiple institutions, including Leeds University Business School and School of Mathematics (2005-2014), University of Copenhagen (2002-2004), University of Zurich (1999-2002), University of Bielefeld (1996-1999), and University of Bremen (1993-1996). His research focuses on Financial Economics , Financial Markets and Trading , Computational Economics and Finance , Dynamic Economic Theory , and Random Dynamical Systems Theory . Recent publications address empirical methodologies, volatility trading, and economic growth. Nonstandard Errors (2024) : Explored statistical challenges in financial research. BeVIXed: Trading Fear in the Volatility Complex (2023) : Analyzed volatility instrument pricing. He contributes to the Journal of Optimization Theory and Applications as an Assistant Editor since 2020.

• Nonparametric Statistics
• Semiparametric Models
• Credit Scoring
• +۴ مورد دیگر

Professor Marlene Müller serves as Professor of Applied Statistics at Beuth University of Applied Sciences Berlin within the Department of Mathematics, Physics, and Chemistry in the School of Engineering. Her academic career spans over two decades with significant contributions to nonparametric and semiparametric statistical methods, particularly applied to financial data analysis and credit scoring. Her research interests center on Nonparametric Statistics , Semiparametric Models , and Statistical Computing , with a strong emphasis on practical applications in finance. She has developed numerous R implementations for statistical methods, making complex techniques accessible to practitioners. Her work bridges theoretical statistics with real-world financial applications, particularly in credit risk modeling and portfolio analysis. Professor Müller's publication record shows a consistent focus on applying advanced statistical techniques to financial problems. Her work evolved from foundational theoretical contributions in the 1990s to more applied financial modeling in the 2000s, with a particular emphasis on credit scoring systems under regulatory frameworks like Basel II. She has maintained a strong focus on developing computational tools, especially through the R programming language, to implement these statistical methods. She is co-author of the influential textbook Nonparametric and Semiparametric Models (Springer Series in Statistics, 2004) with Härdle, Sperlich, and Werwatz, which has become a standard reference in the field. Her teaching portfolio includes advanced statistics courses with a strong computational component, and she has developed extensive educational materials for teaching nonparametric methods. Professor Müller maintains an active consultation schedule, with office hours listed through the summer semester of 2025, indicating her ongoing engagement with students and academic work. Her contributions to statistical computing through R package development and teaching materials demonstrate her commitment to advancing both theoretical and applied statistics education.