جست‌وجوی استاد و پژوهشگر

Marc-andre Letendreمشاهده پروفایل

دانشیار

• Economics
• International Economics and Finance
• Macroeconomics (including monetary and fiscal theory)
• +۳ مورد دیگر

Marc-andre Letendre is an Associate Professor in the Department of Economics at McMaster University. His research spans international economics, macroeconomics, and financial modeling, with a focus on business cycle dynamics, risk propagation, and dynamic stochastic equilibrium frameworks. Bachelor of Business from HEC Montréal Master of Arts in Economics and PhD in Economics from Queen's University His scholarly work explores: International business cycles and risk shocks Financial accelerator mechanisms and credit risk Sticky-price persistence and macroeconomic stability Asset trading restrictions in equilibrium models Dynamic optimization and portfolio allocation Recent publications examine how financial shocks and risk dynamics influence economic fluctuations, particularly in small open economies. Teaching roles include Intermediate Macroeconomics II (ECON 2HH3), Macroeconomic Theory (ECON 723/724), and DSGE Models (ECON 741).

• Financial Mathematics
• Actuarial Science
• Mathematical Finance
• +۳ مورد دیگر

Traian Pirvu is an Associate Professor in the Department of Mathematics and Statistics at McMaster University. His research focuses on financial mathematics, with emphasis on optimal investment strategies, pricing in incomplete markets, and equilibrium models. He has taught courses such as Portfolio Theory and Optimization, Financial Markets and Derivatives, and Foundations of Financial Mathematics. His academic background includes a PhD in Mathematical Finance from Carnegie Mellon University (2005) and a postdoctoral fellowship at the University of British Columbia (2005–2008). Research Interests : Optimal Investment, Risk Management, Actuarial Science, Insurance Mathematics, Portfolio Optimization, Stochastic Control, and Mathematical Economics. His projects address equilibrium pricing of non-tradable risks, regulatory constraints in portfolio selection, time-consistent utility models, and applications of prospect theory in financial decision-making. Recent Trends in Articles : Recent work includes stochastic control models with regime switching, population dynamics analysis in actuarial contexts, and liquidity adjustments in option pricing. Key contributions involve minimizing insurer bankruptcy risks and developing frameworks for mortality-linked instruments. Awards & Grants : No specific awards listed, but active research in funded areas like financial mathematics and actuarial science. Advising & Labs : Involvement in major research projects (e.g., MATH 790C) and interdisciplinary collaborations, though no lab teams explicitly mentioned.

Matheus Da Rocha Grasselliمشاهده پروفایل

استاد

• Mathematical Finance
• Macroeconomics
• Quantitative Finance
• +۴ مورد دیگر

Dr. Matheus Da Rocha Grasselli is a Professor of Mathematics and Chair of the Mathematics of Statistics Department at McMaster University. He also holds administrative roles as Deputy Provost and previously served as Deputy Director of the Fields Institute for Research in Mathematical Sciences (2012–2016). He leads the Fields Centre for Financial Industries and co-leads the Fields-CQAM Lab on Systemic Risk Analytics. Education: PhD in Mathematics from King's College London (1998–2001) and BSc (Honors) in Physics from the University of São Paulo (1994–1997). Research focuses on mathematical finance, macroeconomics, and quantitative finance, with contributions to interest rate theory, systemic risk, climate economics, and financial networks. His work bridges academic and industrial applications, with consultancy for institutions like CIBC and Petrobras. Editorial roles include founding managing editor of Springer Briefs on Quantitative Finance and editorial board memberships in journals such as Journal of Banking and Finance . Recent research highlights include studies on cryptocurrency impacts, green quantitative easing, and the interplay between economic policy and climate change. Teaching includes courses on computational finance, mathematical physics, and numerical methods at both undergraduate and graduate levels.

Michael Bliemelمشاهده پروفایل

استاد

• Business Analytics
• Data Literacy
• Digital Transformation
• +۹ مورد دیگر

Dr. Michael Bliemel is a Professor of Management Information Systems at Ontario Tech University's Faculty of Business and Information Technology. He joined in 2018 from Dalhousie University, where he received awards for teaching and leadership. His research focuses on strategic IT management, emerging technologies, data literacy, and digital transformation. He collaborates with industry to bridge academia, business, and government, emphasizing experiential learning through analytics competitions and gamification. Education: PhD in Management Science/Systems, DeGroote School of Business, McMaster University (2006) Master of Management Studies, Sprott School of Business, Carleton University (2001) BSc in Mining Engineering, Queen’s University (1997) His research interests span business analytics, e-commerce, NeuroIS, and human-computer interaction. Key areas include leveraging new technologies for firm performance and usability insights. Recent work explores analytics education strategies, data literacy frameworks, and digital transformation in healthcare and retail. Dr. Bliemel’s articles address supply chain resilience, EV infrastructure planning, and decision support systems. His 2025 paper on EV charging stations in Halifax integrates fairness metrics into multi-objective optimization. Earlier work (2014–2021) focuses on disruption risk modeling in supply chains and rail networks, applying Benders decomposition and stochastic methods. Awards: Majdi Najm Outstanding Service Award (2017) A. Gordon Archibald Teaching Excellence Award (2014) Named Visionary Member of SAP University Alliances (2014) He advises student teams in global analytics competitions and leads grants like SSHRC’s “Data Literacy Education Strategies” (2015). Active in the Business Analytics & AI Research Group at Ontario Tech, he develops tools for marketing/operations analytics and enterprise systems.

Bin Changمشاهده پروفایل

دانشیار

• Corporate Payout Policy
• Corporate Governance
• Cash Policy
• +۷ مورد دیگر

Dr. Bin Chang is an Associate Professor of Finance at the Faculty of Business and Information Technology, Ontario Tech University. She holds a PhD from the University of Toronto and has prior experience as a credit derivatives risk analyst at CIBC, an instructor at the University of Toronto, and a foreign exchange trader at the Bank of China. Her research focuses on corporate payout policy, corporate governance, cash policy, innovation, entrepreneurship, pension systems, and climate change. She has secured multiple SSHRC grants, including a 2021 Insight Development Grant as Principal Investigator. Her work bridges theoretical frameworks with practical applications in financial policy and supply chain resilience. Dr. Chang contributes to interdisciplinary initiatives within the faculty, emphasizing data-driven decision-making and sustainable business practices. Education: PhD in Finance, University of Toronto MA in Finance, Queen's University MA, LLB, and BA from Wuhan University, China Research Interests: Dr. Chang’s research explores corporate financial policies, governance structures, and the impact of external factors like climate change on financial decision-making. She employs computational methods to analyze supply chain resilience, risk management, and sustainable infrastructure planning (e.g., EV charging stations). Her work often addresses global challenges, such as balancing economic growth with environmental stewardship. Grants & Collaborations: As Principal Investigator, she led a 2021 SSHRC grant examining corporate governance’s role in cash policies. Co-investigations include studies on dividend policies and financial crisis impacts. Her collaborations emphasize cross-disciplinary approaches to solving real-world business and environmental challenges. Labs/Teams: While primarily affiliated with the Finance department, her research aligns with the faculty’s broader initiatives in business analytics and AI, particularly in optimizing supply chain and financial systems.

Chrysanthos Gounarisمشاهده پروفایل

استادیار

• Advanced Process Decision-Making
• AI and Machine Learning
• Energy Systems and Climate
• +۷ مورد دیگر

Chrysanthos Gounaris is an Assistant Professor in the Department of Chemical Engineering at Carnegie Mellon University (CMU), affiliated with the College of Engineering. He is the director of the Shared Computing Facility at CMU and a member of the Center for Advanced Process Decision-Making (CAPD) and the Wilton E. Scott Institute for Energy Innovation. His research focuses on advanced process decision-making, AI-driven optimization, energy systems, decarbonization, materials science, and pharmaceutical development. Gounaris holds a Ph.D. from Princeton University (2008) and previously worked at McKinsey & Co. and as a postdoctoral researcher at Princeton. Education: Ph.D. in Chemical Engineering, Princeton University (2008) M.A. in Chemical Engineering, Princeton University (2005) M.Sc. in Automation Systems, National Technical University of Athens (2003) Dipl. in Chemical Engineering, National Technical University of Athens (2002) His research interests include process systems engineering, robust optimization, nanostructured materials design, and sustainable energy systems. He collaborates with companies like Eli Lilly to develop optimization tools for pharmaceutical R&D and has secured grants from the U.S. Department of Energy. Gounaris has advised notable students such as Megan Walsh (AIChE award winner) and Ashlesha Tiple. His work spans computational discovery of materials, vehicle routing optimization, and strategic decision-making under uncertainty. He leads the CAPD, which hosts annual meetings to advance enterprise-wide optimization methodologies.

• Supply Chain Management
• Operations Research
• Revenue and Pricing Management
• +۵ مورد دیگر

Hyun-Soo Ahn is a Professor of Technology and Operations and Ford Motor Co. Director of the Tauber Institute for Global Operations at the University of Michigan's Stephen M. Ross School of Business. His research focuses on supply chain management, service operations, pricing strategies, and value chain innovations, supported by NSF and Department of Energy grants. He teaches business analytics, machine learning, and consulting methodologies across EMBA, MBA, MSCM, and BBA programs, along with executive education for firms like ICBC and Bank of America. Education: PhD in Technology and Operations, University of Michigan (2001) MSE, University of Michigan (1997) BSE in Engineering, KAIST (1994) His research interests emphasize data-driven decision-making in supply chains, dynamic pricing models, and collaborative strategies. Notable contributions include work on subsidy policies for innovation, capacity investment collaboration, and pandemic control through multi-model integration. He leads the Supply Chain Consulting Studio, guiding over 70 projects with companies such as Amazon, Google, and General Motors. Teaching and Awards: Six teaching excellence awards (student-voted) and the 2019 Ross Researcher of the Year Award highlight his dual impact in education and research. His executive education focuses on digital transformation and business analytics. Key Projects: Consulting for 70+ companies across sectors Founder of Ross MSCM's Supply Chain Consulting Studio

Lennart Baardmanمشاهده پروفایل

استادیار

• Retail Analytics
• Operations Research
• Revenue Management
• +۴ مورد دیگر

Lennart Baardman is an Assistant Professor of Technology & Operations at the University of Michigan's Ross School of Business. His research focuses on retail analytics, applying optimization, machine learning, and statistical methods to address revenue management and supply chain challenges in retail. He collaborates with companies like Amazon Fresh, Adobe, and Hello Fresh. His educational background includes a PhD in Operations Research from MIT (2019), an MASt in Mathematics from the University of Cambridge (2014), and a BSc in Econometrics and Operations Research from the University of Groningen (2013). Education: PhD in Operations Research, MIT (2019) MASt in Mathematics, University of Cambridge (2014) BSc in Econometrics and Operations Research, University of Groningen (2013) His research interests emphasize solving practice-driven problems through mathematical modeling and data analytics. He has published in top journals like Manufacturing & Service Operations Management and Management Science , and his work has received awards including the POMS College of Supply Chain Management Best Student Paper Award (2019) and MIT Sloan Excellence in Teaching Award (2018). Teaching includes courses on big data tools, data exploration, and doctoral seminars in operations management. He advises PhD students at Michigan and has supervised students at MIT and Dartmouth College.

Ahmed Ghoniemمشاهده پروفایل

استاد

• Retail Analytics
• Supply Chain Management
• Manufacturing & Service Operations Management
• +۴ مورد دیگر

Professor Ahmed Ghoniem holds a full professorship in the Department of Operations & Information Management at the Isenberg School of Management, University of Massachusetts Amherst. He earned his PhD from Virginia Tech (2007) and holds additional MSc degrees from Ecole des Mines de Nantes (France) and Virginia Tech. His academic career includes roles as Associate Professor (2015–present) and Assistant Professor (2008–2015) at UMass Amherst, alongside a postdoctoral appointment at Virginia Tech's Industrial & Systems Engineering department. Research focuses on Retail Analytics , Supply Chain Management , Airport Operations , and Optimization Methodologies . Notable projects include FIFA World Cup infrastructure planning, food bank distribution optimization, and drone-integrated delivery systems. His work combines mathematical modeling with real-world applications in manufacturing, logistics, and aviation. Teaching spans doctoral courses on Integer Programming , master's Deterministic Models , and undergraduate modules in Operations Management and Supply Chain Strategy . Awards include the 2012 Isenberg Outstanding Teaching Award and IIE Transactions Best Paper Prize (2012). He has secured over $1.5M in research funding from Qatar National Research Fund and other grants. Publications emphasize optimization algorithms (e.g., branch-and-price, heuristic methods) applied to vehicle routing, aircraft sequencing, and retail space allocation. Current research trends include integrating drones into delivery networks and analyzing cross-selling dynamics in multi-category retail environments. Awards and grants highlight contributions to both academic and practical domains, with active involvement in aviation capacity management and humanitarian logistics solutions.

Jan Riezebosمشاهده پروفایل

استاد

• Educational Innovation
• Operations Management
• Process Optimization
• +۴ مورد دیگر

Prof. Jan Riezebos is a Full Professor of Educational Innovation at the University of Groningen's Faculty of Economics and Business, holding the academic lead role at the Teaching Academy Groningen (TAG). He has been a professor since 2016 and previously served as Associate and Assistant Professor in Operations Management. His roles include chairing the Lean Management Network and the Educational Leadership Program (Groningen-Twente), alongside fellowships like Comenius Leadership. Education: PhD in Operations Research (2001, University of Groningen), with visiting scholar experience at Ball State University (1993). Key research areas include educational logistics, curriculum internationalization, and lean management applications in education. Projects include EU-funded initiatives like Learn2Inspire (social innovation leadership) and EQUNI (addressing discrimination in higher education). Research focuses on optimizing educational processes, reducing work stress via Value Stream Mapping, and improving teaching methodologies. He leads interdisciplinary collaborations through TAG, fostering innovation across faculties. Active in editorial roles for journals like International Journal of Quality and Reliability Management and Omega .

Ruud Teunterمشاهده پروفایل

استاد

• Operations Management
• Operations Research
• Inventory Control
• +۴ مورد دیگر

Prof. Ruud Teunter is a Professor in Operations Management and Operations Research at the University of Groningen's Faculty of Economics and Business. He holds leadership roles in academic publishing, including editorial board memberships for the European Journal of Operational Research and Omega . His research focuses on inventory control, remanufacturing systems, condition-based maintenance, and supply chain optimization. He has held prestigious fellowships from the Royal Netherlands Academy of Arts and Sciences (KNAW) and supervised 25 Master's and 5 PhD students. Education: PhD in Econometrics, University of Groningen (1998) Master's (Doctorandus) in Econometrics, University of Groningen (1994) Pre-university education (VWO) in Mathematics and Natural Sciences (1988-1994) Research Interests: Prof. Teunter's work addresses challenges in inventory systems, reverse logistics, maintenance optimization, and operational decision-making under uncertainty. He has pioneered methods for condition-based maintenance, remanufacturing strategies, and data-driven approaches to supply chain management. Grants & Awards: 2003-2005: €240,000 KNAW fellowship for research in inventory systems 2000-2003: €300,000 KNAW fellowship for work on reverse logistics Teaching & Supervision: Taught courses on operations management, inventory control, and statistics. Supervised over 25 Master's and 5 PhD students, including runners-up for the OR Society's May Hicks Award. Professional Roles: Editorial roles in top journals, program committee member for International Working Seminars on Production Economics, and external examiner for multiple universities' PhD programs.

Evrim Ursavasمشاهده پروفایل

استاد

• Energy Logistics
• Hydrogen Economy
• Renewable Energy Development
• +۵ مورد دیگر

Prof. Evrim Ursavas is a Professor of Energy Logistics at the University of Groningen's Faculty of Economics and Business. Her expertise spans Energy Logistics, Hydrogen Economy, and Sustainable Energy Systems. She holds degrees in Industrial Engineering, Computer Engineering, Business Administration, and a PhD in Operations Management and Technology. Research focuses on optimizing energy transition challenges through projects such as HyUSe (Hydrogen tech development), HEAVENN (Hydrogen Valley in Northern Netherlands), and TRIĒRĒS (Greece's hydrogen ecosystem). Her work integrates renewable energy sources, logistics, and stochastic modeling to enhance supply chain resilience and grid efficiency. Notable projects include a €90M EU-funded HEAVENN initiative (2020–2026) and the €16M HyUSe project (2024–2030). She leads the Energy Transition and Climate Change Theme at the University of Groningen and advises on strategic energy consultancy. Publications emphasize sustainable delivery networks, stochastic optimization in energy systems, and hydrogen logistics. Funded research includes a Dutch project on renewable energy grid expansion and an Interreg project on LNG infrastructure development.

Tarkan Tanمشاهده پروفایل

استاد

• Supply Chain Management
• Sustainability
• Operations Management
• +۵ مورد دیگر

Prof. Dr. Tarkan Tan is a Full Professor of Sustainable Operations Management at the University of Zurich's Department of Business Administration since 2022. Previously, he held roles at Eindhoven University of Technology (TU/e) and taught at TIAS Business School's Executive Master program. He earned his Ph.D. from Middle East Technical University, with postdoctoral research at Columbia University (Fulbright Scholar), UCLA, and the University of Sydney. His research focuses on inventory theory, supply chain sustainability, spare parts management, and capacity management. He has led the OML MSc program at TU/e and served on the European Supply Chain Forum's executive board. Prof. Tan has published extensively in top journals like Manufacturing & Service Operations Management and co-edited a textbook on sustainable supply chains. Education: Ph.D., Middle East Technical University, Ankara Fulbright Scholar, Columbia University, New York Visiting Scholarships: UCLA, University of Sydney Research Interests: Integration of sustainability into supply chain operations Carbon footprint reduction strategies Optimization of spare parts networks Impact of regulatory policies on carbon emissions Service level dynamics in inventory systems Awards & Grants: Extensive industry collaborations funded multiple projects. Editorial roles include Associate Editor of Manufacturing & Service Operations Management . Advising & Leadership: Directed TU/e's Operations Management & Logistics MSc program Guided numerous students and postdoctoral researchers in industry partnerships Executive board member of the European Supply Chain Forum Labs & Teams: Collaborates with industry through applied research teams focusing on sustainable operations and carbon abatement solutions.

• Market Microstructure
• Limit Order Books
• Liquidity Analysis
• +۴ مورد دیگر

Ioanid Rosu is a Professor in the Finance Department at HEC Paris, a leading European business school located in Jouy-en-Josas, France. His research focuses on market microstructure, liquidity dynamics, and the evolving landscape of financial markets including cryptocurrency applications. His research interests span market microstructure with particular expertise in limit order books, high-frequency trading dynamics, and liquidity measurement. Rosu has made significant contributions to understanding information flow in financial markets, price formation mechanisms, and the evolving role of technology in market structure. His recent work extends into cryptocurrency economics, examining proof-of-stake mechanisms and blockchain applications in traditional finance. Rosu's publication record demonstrates a consistent trajectory of high-impact research in premier finance journals. His work shows evolving focus from traditional market microstructure topics toward incorporating technological innovations in finance, particularly blockchain and high-frequency trading systems. The research demonstrates sophisticated mathematical modeling combined with empirical validation across diverse market conditions. Rosu maintains active research collaborations across international institutions, as evidenced by his co-authorship with scholars from universities worldwide. His work bridges theoretical finance with practical market applications, addressing both fundamental questions in price formation and contemporary challenges in electronic trading environments.

Eun-Seok Kimمشاهده پروفایل

استاد

• Operations Management
• Supply Chain Management
• Combinatorial Optimization
• +۳ مورد دیگر

Dr. Eun-Seok Kim is a Reader in Operations Management and Programme Director for MSc International Business at Queen Mary University of London. He holds a PhD in Operational Research from KAIST (South Korea). Previously, he was a Senior Lecturer at Middlesex University. His research focuses on combinatorial optimization and scheduling theory within operations and supply chain management. Methodologies include mathematical programming and stochastic analysis, with applications in telecommunication and actuarial science. He is a member of the Centre for Globalisation Research (CGR). Teaching responsibilities span undergraduate and postgraduate courses such as Operations Management, Quantitative Analytics, and Cryptocurrency & Blockchain Programming. His supervision expertise welcomes doctoral students with backgrounds in mathematics, computer science, or industrial engineering. Publications emphasize optimization challenges in manufacturing, energy systems, and insurance risk allocation. Recent work includes multi-objective models for steel industry production planning and algorithmic advancements in scheduling theory.