جست‌وجوی استاد و پژوهشگر

Paul Babinمشاهده پروفایل

استادیار

• Business Statistics
• Operations Research
• Industrial Engineering
• +۳ مورد دیگر

Paul Babin is an Assistant Professor of Business at Covenant College since 2023. He holds a Ph.D. in Industrial and Systems Engineering from Mississippi State University and an MBA with a Finance concentration from Christian Brothers University. His research focuses on applying statistical and quantitative methods to business and industrial challenges, emphasizing practical applications in operations management and quality improvement. Education: Ph.D. in Industrial and Systems Engineering, Mississippi State University MBA (Finance Concentration), Christian Brothers University Research interests include Root Cause Analysis in mechatronics systems Leveraging statistical methods for process optimization Cross-cultural approaches to Six Sigma Queueing models and control systems in industrial contexts His professional work spans presentations at IEEE TEMSCON, IISE conferences, and Winter Simulation Conference, addressing topics like organizational change management and PID control simulations. Though no awards are listed, his work highlights interdisciplinary collaboration between engineering and business disciplines. He has no listed advisees or grants. Outside academia, Babin enjoys cycling on Lookout Mountain, spending time with his grandchildren, and engaging in outdoor activities.

Armand Makowskiمشاهده پروفایل

استاد

• Wireless Networks
• Queueing Systems
• Stochastic Systems
• +۳ مورد دیگر

Armand Makowski is a Professor of Electrical and Computer Engineering at the University of Maryland at College Park, with a joint appointment at the Institute for Systems Research. He holds a Ph.D. in Applied Mathematics from the University of Kentucky (1981) and has been on the faculty since 1981. His research focuses on communication network modeling, wireless resource allocation, queueing systems, stochastic processes, and random graph theory. He served as a Program Officer at the NSF (2019–2022) and held visiting roles at institutions such as INRIA, IBM Watson, and the Hebrew University of Jerusalem. Education: Licence en Sciences Mathematiques, Universite Libre de Bruxelles (1975) M.S. in Engineering-Systems Science, UCLA (1976) Ph.D. in Applied Mathematics, University of Kentucky (1981) Research interests include TCP modeling, web caching, wireless networks, and applications of random graph models. He co-founded the Center for Satellite and Hybrid Communication Networks. Awards include IEEE Fellow (2006), NSF Presidential Young Investigator (1984), and Lady Davis Trust Fellowship (2014–2015). Grants and advising: Led NSF-funded projects on mobile wireless networks and random graph modeling. Collaborated on studies of network connectivity, caching systems, and ant routing algorithms. Active in interdisciplinary research bridging stochastic systems and network dynamics.

Dinard van der Laanمشاهده پروفایل

استادیار

• Dynamic Programming
• Markov Decision Processes
• Optimization of Queueing Networks
• +۳ مورد دیگر

Dinard van der Laan is an Assistant Professor at the Department of Operations Analytics within the School of Business and Economics at Vrije Universiteit Amsterdam. He holds a PhD from Leiden University (2003). His research focuses on dynamic programming, Markov decision processes, optimization of queueing networks, and dynamic pricing, contributing to UN Sustainable Development Goals through operations research applications. Key research interests include decision rule engineering, stochastic optimization, and queueing network control. His work applies to resource allocation, server systems, and dynamic pricing strategies. Recent publications address parallel server assignment, call center control, and auction mechanisms. Teaches courses including Operations Research and Thesis supervision. Engaged in academic activities such as peer reviewing for Operations Research , visiting research at the University of York (2016–2018), and presenting on sequential assignment algorithms at international conferences.

• Operations Research
• Supply Chain Management
• Inventory Systems
• +۵ مورد دیگر

Dr. Ata Zare is an Assistant Professor in Business Intelligence at Nyenrode Business University, affiliated with the Faculty Research Center for Marketing & Supply Chain Management. His work focuses on operations research, inventory systems, and data-driven optimization. He holds a PhD under Prof. Hossein Abouee-Mehrizi and has expanded into behavioral economics and analytics applications in business. Research interests include stochastic models, queueing theory, and applying mathematics to technological advancements. His notable contributions include developing efficient policies for service/production systems and analyzing (R,Q) inventory policies in two-echelon systems. Teaching responsibilities include business analytics, operations analytics, and simulation analysis. His consulting experience spans transportation, supply chain, e-commerce, and FinTech sectors.

Jingui Xieمشاهده پروفایل

دانشیار

• Business Analytics
• Healthcare Management
• Data-Driven Healthcare Optimization
• +۳ مورد دیگر

Prof. Dr. Jingui Xie is an Associate Professor of Business Analytics at the TUM School of Management (TUM Campus Heilbronn) and a core member of the Munich Data Science Institute. His research focuses on improving healthcare systems through data analytics, queueing models, and robust optimization frameworks. Key areas include ICU data analytics, healthcare resource planning, and the impact of air pollution/COVID-19 on medical systems. Previously, he held roles at Brunel University London, Cambridge Judge Business School, and the National University of Singapore. He earned his PhD from Tsinghua University and has received awards such as the POMS-HK Student Paper Competition (2018) and the Tsinghua Outstanding Dissertation Award (2010). Education: PhD in Operations Research, Tsinghua University Postdoctoral Research at National University of Singapore (2010–2011) Research Interests: Healthcare Data Analytics for ICU decision-making Joint estimation and robust optimization frameworks Applications of machine learning in healthcare operations Awards: First Prize, POMS-HK Student Paper Competition (2018) Junior Teaching Award, USTC (2016) Key Projects: COVID-19 Data Analytics: Linking environmental factors to infection rates ICU Data Analytics: Optimizing ventilator extubation decisions Bed Shortage Analytics: Coherent metrics for hospital resource planning

Kevin Shangمشاهده پروفایل

استاد

• Operations Management
• Supply Chain Management
• Inventory Control
• +۴ مورد دیگر

Kevin Shang is the Joseph J. Ruvane, Jr. Distinguished Professor of Operations Management at Duke University’s Fuqua School of Business. He holds an MBA from the University of California, Riverside (1998) and a PhD from UC Irvine (2002). His research focuses on inventory policies for supply chains, operations-finance integration, and renewable energy systems. He has published in top journals like Management Science and Operations Research , and earned multiple awards for his work. His teaching spans inventory theory and operations management, with innovations like the Cash Beer Game . He has advised students on impactful projects, including those on renewable energy policy and inventory optimization. Research interests include dynamic pricing, queueing control, and data-driven inventory strategies. His work bridges operational efficiency and financial systems, addressing challenges in supply chain resilience and sustainability. He served on editorial boards for major journals and has received teaching awards for graduate programs at Fuqua. Current research explores machine learning applications in inventory systems and energy policy implications. Educations: PhD (UC Irvine, 2002); MBA (UC Riverside, 1998) Awards: First Prize MSOM Student Paper (2001), ENRE Best Publication (2022) Grants: Multiple NSF-funded projects on inventory systems and energy policy Labs/Teams: Cash Beer Game development, Sustainable Operations Research Group

• Operations Research
• Operations Management
• Dynamic Resource Allocation
• +۷ مورد دیگر

Yehua Wei is an Associate Professor in the Decision Sciences area at Duke University's Fuqua School of Business. He holds a Ph.D. in Operations Research from MIT and an undergraduate degree in Combinatorics and Optimization from the University of Waterloo. His research focuses on complex decision-making under uncertainty, including dynamic resource allocation, process flexibility, vehicle routing, and queueing networks. He has been recognized with awards such as the George Nicholson Paper Competition and the Daniel H. Wagner Prize. His teaching spans business analytics and operations research courses at both master's and doctoral levels, earning him the 2023 MQM Teaching Award for Innovation and Excellence. Education: Ph.D. in Operations Research Center (ORC), MIT Bachelor's in Combinatorics and Optimization and Pure Math, University of Waterloo Research emphasizes developing methodologies for managing uncertainties through convex optimization, stochastic networks, and game theory. Notable contributions include work on fulfillment flexibility in e-commerce, vehicle routing with stochastic demand, and strategic service network design. Articles frequently explore intersections of operations research with real-world applications like supply chain resilience and inventory systems. Awards include the 2023 TSL Intelligent Transportation Systems SIG Paper Award and the 2019 MSOM Service Management SIG Best Paper Prize. He has advised on multiple doctoral and master's theses, though specific advisee names are not listed. His work addresses challenges in logistics, manufacturing, and service industries, often employing advanced analytical frameworks to enhance system efficiency and robustness.

Jetson Leder-Luisمشاهده پروفایل

استادیار

• Health Economics
• Public Economics
• Political Economy
• +۵ مورد دیگر

Jetson Leder-Luis is an Assistant Professor at Boston University's Questrom School of Business and a Faculty Research Fellow at the National Bureau of Economic Research (NBER). His research focuses on fraud detection in public expenditures, specifically Medicare/Medicaid programs, and its impacts on healthcare costs and patient outcomes. He examines corruption detection mechanisms, statistical anomalies in reported data, and the intersection of law/economics with political economy. Education includes a PhD from MIT (2020) and BS from Caltech (2014). Notable awards include the Ford Foundation Dissertation Fellowship and Stamps Scholars Program membership. His work bridges econometric analysis with policy design, emphasizing practical solutions for fraud prevention and public expenditure integrity. Key research areas include healthcare fraud frameworks, machine learning applications in fraud detection, unemployment insurance fraud dynamics, and whistleblower incentives. His recent studies analyze Kenya World Bank projects, Medicare billing patterns, and revolving door laws' political implications. Leder-Luis frequently collaborates with NBER and policymakers to translate academic findings into actionable anti-fraud strategies. Primary affiliations: Boston University Questrom School of Business, NBER Expertise: Fraud economics, healthcare policy, public finance

Charu Sinhaمشاهده پروفایل

دانشیار

• Business Analytics
• Operations Management
• Stochastic Modeling
• +۳ مورد دیگر

Dr. Charu Sinha is an Associate Professor at the Argyros School of Business and Economics , Chapman University. She serves as the Academic Director, MS in Business Analytics Program , focusing on business analytics, statistics, and operations management at graduate and undergraduate levels. Education Bachelor of Science, St. Xavier's College Master of Science, Syracuse University Ph.D., Stony Brook University Research Interests Stochastic modeling in operational systems Optimization of business processes Pedagogical innovations in management education Queueing theory applications in heterogeneous server systems Corporate social responsibility in supply chains Inventory model simplifications Professional Background 10-year tenure at AT&T as Distinguished Member of Technical Staff , driving voice/data communication services Former faculty at Weatherhead School of Management , Case Western Reserve University Administrative roles at Chapman: Director of Continuous Improvement (accreditation processes) and Assistant Dean of Undergraduate Programs

Arthur Matsuo Yamashita Rios De Sousaمشاهده پروفایل

استادیار

• Applied Mathematics
• Statistical Physics
• Probability Theory
• +۷ مورد دیگر

Arthur Matsuo Yamashita Rios De Sousa is an Assistant Professor in the School of Computing at the Tokyo Institute of Technology, where he conducts interdisciplinary research bridging applied mathematics, statistical physics, and data science. His work focuses on the modeling and analysis of complex systems through stochastic processes, time series analysis, and network science. His primary research interests include: Applied Mathematics and Probability Theory Statistical Physics and Econophysics Complex Systems and Network Science Time Series Analysis and Forecasting Symbolic Dynamics and Entropy-Based Methods Power-Law and Heavy-Tailed Distributions His recent publications demonstrate a consistent focus on developing quantitative methods for analyzing financial time series, sales data, and other real-world complex systems. The articles span topics such as volatility modeling, network-based market analysis, multiscale entropy, and symbolic dynamics, reflecting a strong integration of theoretical physics and practical data science applications. Notable trends in his research include the use of entropy measures for regime detection, modeling of heavy-tailed phenomena in economics, and the application of complex networks to multivariate systems. These efforts contribute to both fundamental understanding and practical tools in econophysics and data-driven science. There are currently no listed scientific awards or honors in the provided text. Dr. Yamashita advises students in computational and quantitative research, particularly in areas related to data analysis of complex systems. While specific grant funding is not mentioned, his sustained publication record suggests active research support. He likely contributes to collaborative projects involving financial data modeling, nonlinear dynamics, and interdisciplinary applications of statistical physics. He is involved in academic events such as the Econophysics Colloquium and workshops at the Complexity Science Hub, indicating participation in international research networks focused on complex systems science.

• Consumer Behavior
• Medical Decision Making
• Advertising
• +۷ مورد دیگر

Partha Krishnamurthy is a Professor of Marketing at the C. T. Bauer College of Business, University of Houston, where he also serves as the Director of the Institute for Health Care Marketing and holds the title of Bauer Faculty Fellow. He earned his Ph.D. from The Pennsylvania State University and is actively engaged in research and teaching in marketing and decision science. Research Interests: Consumer Behavior and Advertising Medical Decision Making and Health Communication Customer Insights and Behavioral Decision Theory Risk Preference and Experimental Methods His research explores how individuals make decisions, particularly in healthcare contexts, using experimental methodologies. He investigates topics such as cancer screening preferences, miswanting in customized products, and the impact of uncertainty on service decisions. His recent and forthcoming publications span high-impact journals in marketing, psychology, and health, indicating a strong interdisciplinary focus on behavioral aspects of consumer and patient choices. His work often addresses real-world problems in healthcare marketing and consumer welfare. Scientific Awards and Honors: Larry J. Sachnowitz Professor of Marketing (Endowed Chair) Bauer Faculty Fellow Advising and Grants: He has secured competitive research funding from the National Science Foundation, supporting his empirical investigations into consumer and medical decision-making. While specific advisees are not listed, his involvement in doctoral seminars and research supervision suggests mentorship of graduate students. Labs and Research Centers: He leads the Institute for Health Care Marketing at Bauer College, which focuses on advancing research and practice at the intersection of marketing and healthcare delivery, patient engagement, and health policy.

Peter Laknerمشاهده پروفایل

دانشیار

• Mathematical Finance
• Stochastic Processes
• Stochastic Optimization and Control
• +۶ مورد دیگر

Peter Lakner is an Associate Professor in the Department of Information, Operations, and Management Sciences at the Leonard N. Stern School of Business, New York University. He has been a faculty member at Stern since 1989, teaching courses in statistics, stochastic processes, and financial modeling. Education: Ph.D. in Statistics, Columbia University, 1989 M.A. in Mathematics, Eötvös Loránd University, Budapest, 1980 B.A. in Mathematics, Eötvös Loránd University, Budapest, 1978 His research centers on mathematical finance and stochastic modeling, with a focus on stochastic processes, optimization, and their applications in financial markets. Key areas include option pricing, portfolio optimization, and control problems under partial information. His work integrates deep probabilistic analysis with practical financial engineering challenges. The recent publications reflect a strong trend in stochastic control, reflected diffusions, and high-frequency financial modeling. Topics include limit order books, optimal cash management, and the behavior of reflected Brownian motion in constrained domains. These works demonstrate consistent collaboration with leading researchers in operations research and probability. Scientific Awards: No awards listed in the provided text. Professor Lakner has advised several students, though specific names are not provided in the text. His research has been supported by academic grants implied through publication in top journals, though specific grant details are not mentioned. He is a core member of the IOMS group at Stern, contributing to both theoretical and applied research in operations and statistics. Labs and Research Teams: While no formal lab is mentioned, he is associated with research in stochastic modeling and financial systems, likely collaborating within the IOMS division and with external researchers in probability and finance.

• Computer Modeling in Economics
• Decision Support Systems
• Fuzzy Logic
• +۳ مورد دیگر

Oleksandr Dorokhov holds the position of Visiting Professor at the University of Tartu, Faculty of Social Sciences, School of Economics and Business Administration. He has an extensive academic career, including roles as Professor at Kharkiv National University of Economics (2007–2022) and earlier positions as Lecturer and Associate Professor at Kharkiv National Automobile and Highway University. His research focuses on decision support systems, computer modeling in economics, and fuzzy logic. Education includes a Doctor's Degree in Economics (2006) from Kharkiv National Automobile and Highway University and a Master's in Radiophysics and Electronics from Kharkiv National University (1985). He has contributed to projects like 'Evaluation of Future Fit Technological Niches' (2024–2027) and 'Ethical Organisational Culture Analysis' (2022–2025). Research interests span consumer behavior modeling, market dynamics, and computational economics. Key publications include studies on age-friendly HR practices, fitness gadget preferences, and geoinformation platforms for tourism. He has supervised at least one Master's thesis on modeling advertising activities using AnyLogic. Awards: None explicitly listed. Grants include funding from Estonian Education and Youth Board and the Estonian Research Council. Labs/Teams: Involved in interdisciplinary research teams focusing on marketing, economics, and digital innovation at Tartu University and Kharkiv institutions.

• Inventory Management
• Supply Chain Management
• Operations and Marketing/Finance Interface
• +۳ مورد دیگر

Lucy Gongtao Chen Dr. Lucy Gongtao Chen is an Associate Professor in the Department of Analytics and Operations at the National University of Singapore (NUS) Business School. She holds a PhD and MSc in Operations Management from Cornell University's Johnson Graduate School of Management, and a Bachelor of Engineering from Tsinghua University. Education PhD in Operations Management, Cornell University (2007) MSc in Operations Management, Cornell University (2006) Bachelor of Engineering, Tsinghua University (2001) Research Interests Her research focuses on inventory management, supply chain strategy, and the intersection of operations with finance and marketing. Specific areas include strategic inventory dynamics, target-oriented decision making, co-opetition in service clusters, and cross-cultural operational biases. Her work emphasizes quantitative modeling of supply chain systems, risk management frameworks, and behavioral operations insights. Publications Trends Recent work explores competitive supply chain dynamics (e.g., strategic inventory effects, channel competition), target-driven decision frameworks, and co-opetition mechanisms in service environments. Earlier publications pioneered scheduled ordering policies for decentralized networks and cultural differences in inventory decision making. Awards Honorable Mention, M&SOM Student Paper Competition Grants & Advising No explicit grants or advisees listed in available data. Research funding includes NTU's Start-Up Grant (Q. Tang co-author). Labs/Teams No specific lab affiliations mentioned; research conducted through NUS Business School's Analytics & Operations department.

• Operational Research
• Stochastic Modeling
• Queueing Theory
• +۷ مورد دیگر

Professor Paul Harper is a distinguished academic in the School of Mathematics at Cardiff University, where he holds the position of Professor of Operational Research. With over 110 peer-reviewed publications and £18 million in funded research grants as a named investigator, he has established himself as a leading expert in applying mathematical methods to healthcare systems. He is also a founding editor-in-chief of the international journal Health Systems (Taylor & Francis) and has successfully supervised 22 PhD students to completion. Harper's research focuses on stochastic Operational Research, including queueing theory, simulation methods, optimization, and game theory, with particular applications to healthcare systems. His work spans mathematical modeling of healthcare resources, disease prevention and detection, and machine learning approaches to improve healthcare delivery. His research has significant practical impact, as evidenced by his REF2021 sub-panel membership for Mathematical Sciences and numerous awards recognizing his contributions to the field. Professor Harper's extensive publication record demonstrates consistent contributions across multiple domains of healthcare operations research. His recent work shows a strong trend toward applying advanced modeling techniques to emergency and urgent care services, elderly patient care, and resource allocation challenges in diverse healthcare settings including dental care and mental health services. His research increasingly integrates behavioral aspects with traditional operations research methods to create more realistic and effective models. Among his notable achievements are being elected as a Fellow of the Learned Society of Wales (FLSW), receiving the Companion of OR Award and the Lyn Thomas Impact Medal from The OR Society, and a Times Higher Education award for 'Outstanding Contribution to Innovation and Technology.' His research has been instrumental in informing national health policy and transforming healthcare delivery through mathematical modeling. As a dedicated educator and mentor, Professor Harper has supervised 22 PhD students to successful completion and has been actively involved in postgraduate supervision. His research grants totaling £18 million have supported numerous projects addressing critical challenges in healthcare delivery, resource planning, and service optimization across various medical specialties. Professor Harper leads research in the Operational Research group at Cardiff University, focusing on applying quantitative methods to solve complex healthcare challenges. His work bridges theoretical operations research with practical healthcare applications, creating impactful solutions for real-world problems in healthcare systems worldwide.