جست‌وجوی استاد و پژوهشگر

• Supply Chain Management
• Project Management
• Behavioral Operations
• +۷ مورد دیگر

CHEN Yen-Tsang is an Assistant Professor at Neoma Business School , specializing in Information Systems, Supply Chain Management, and Decision Support . He earned his PhD in Business Administration from FGV EAESP in 2015 after a decade-long career as an engineer and project manager at firms like Alstom and Metro of Rio de Janeiro. Currently, he leads the MSc Management de Projet program at Neoma's Paris campus and teaches Operations Management, Purchasing, and Operations Research . Education : PhD in Business Administration (FGV EAESP, 2015), Mechanical Engineering background His research focuses on behavioral operations , resilient supply chains , and project management , employing controlled experiments , discrete choice analysis , and surveys . Recent work examines cross-national supply chain resilience , dynamic control systems , and ethical challenges in purchasing , with publications in IJOPM , JCLP , and conferences like POMS and EUROMA . Recent article trends reveal a focus on sustainability , resilience in global supply chains , and behavioral impacts in operations . Notable collaborations include studies on structural complexity validation and forecasting biases . Chen integrates experimental methods and cross-cultural analysis in his work, addressing multitasking inefficiencies , collaboration risks , and management control systems . He contributes to experimental pedagogy through Neoma's Experimental Lab and participates in international research partnerships like VISTA AR and BluePrint Intao .

Andries de Gripمشاهده پروفایل

استاد

• Labour Economics
• Training and Human Capital Development
• Skill Mismatches and Overeducation
• +۸ مورد دیگر

Andries de Grip is Professor of Economics at the Research Centre for Education and the Labour Market (ROA), School of Business and Economics (SBE), Maastricht University. He is also a Research Fellow at the Graduate School of Business and Economics (GSBE), IZA (Bonn), and Netspar (Tilburg University). He serves on the Labour Market Committee of the Dutch Social Economic Council (SER) and the Scientific Advisory Board of the Federal Institute for Vocational Education and Training (BIBB), Germany. He earned his PhD cum laude from the Free University of Amsterdam. His educational background in economics forms the foundation of his extensive research in labor market dynamics. His research centers on labour economics with a focus on training, skill mismatches, sustainable employability, human resource management, labour mobility, retirement, and manpower forecasting. He investigates how skills are acquired and become obsolete, how firms manage human capital, and how structural changes affect employment outcomes. His work often employs advanced empirical methods such as discrete choice experiments and longitudinal cohort studies. The recent publications highlight a consistent focus on training, employability, retirement, and labour market behavior. Themes include the impact of training vouchers, informal learning, sustainable employability frameworks, personality in recruitment, and financial decision-making in retirement. His work bridges economics, organizational behavior, and public policy, with strong methodological rigor. Research Fellow, GSBE, Maastricht University Research Fellow, IZA, Bonn Research Fellow, Netspar, Tilburg University Member, Scientific Advisory Board, BIBB, Germany Member, Labour Market Committee, Dutch Social Economic Council (SER) Andries de Grip has led numerous research projects on behalf of Ministries, Dutch Public Employment Services, and the European Commission. His advisory roles reflect significant influence on national and European labour market and education policy. He has not explicitly listed grants or students in the provided text, but his project leadership implies extensive grant acquisition and mentorship. His research is conducted primarily through ROA, a leading research center at Maastricht University focused on education and labour market issues. He collaborates with multidisciplinary teams across institutions, particularly on projects involving sustainable employability and skill development.

Fabian Torresمشاهده پروفایل

مدرس

• Transportation Systems
• Operations Research
• Statistical Modeling
• +۳ مورد دیگر

Fabian Torres is a Lecturer at École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the College of Engineering ( ENAC ). He works in the Transportation and Mobility Laboratory (TRANSP-OR) and SGC-ENS (Civil Engineering Teaching). His research spans transportation systems, operations research, and algorithm design. Research Focus : Modeling driver behavior and decision support in transportation Statistical modeling of transportation systems Algorithm development for pricing and routing optimization Scientific Contributions : Recent work includes continuous pricing algorithms, crowdshipping logistics, stochastic vehicle routing, and elevator dispatching optimization. His publications emphasize integrating advanced discrete choice models with operational challenges in transportation.

• Environmental economics
• Real Estate Economics
• Urban Economics
• +۲ مورد دیگر

Sho Kuroda is an Assistant Professor at Waseda University 's Faculty of Commerce (non-tenure-track) since October 2023, concurrently serving as a researcher at the Research Institute of Business Administration (RIBA). He earned his Ph.D. in Policy and Planning Sciences from University of Tsukuba in September 2023. His research focuses on applied econometrics , environmental economics , real estate , urban economics , and regional sciences . His work includes discrete-continuous choice models for carbon policy analysis, spatial econometric studies on automobile demand, and computational methods for energy-resilient communities. Recent publications (2021-2025) examine carbon dividend frameworks, transportation emission reductions, and hedonic models for urban view valuation. Articles demonstrate expertise in policy simulation , spatial modeling , and renewable energy integration . He teaches Introductory Econometrics , Basic Statistics , and Data Analysis Using Statistical Packages at Waseda University's Graduate Schools of Commerce and Accountancy. Concurrent roles include developer of educational materials for R/Stata-based statistical analysis and causal inference.

Mengxiao Zhangمشاهده پروفایل

استادیار

• Online learning and bandits
• Reinforcement learning
• Game theory
• +۳ مورد دیگر

Mengxiao Zhang is an Assistant Professor in the Department of Business Analytics at the Tippie College of Business, University of Iowa, holding this position since August 2024. His research develops theoretically grounded machine learning algorithms for practical business applications, with expertise spanning online learning, bandit problems, and game-theoretic optimization. His academic foundation includes: Ph.D. in Computer Science from the University of Southern California (2018-2024), advised by Prof. Haipeng Luo Bachelor's degree from Peking University (2014-2018), advised by Prof. Liwei Wang Zhang's research bridges theoretical machine learning with operational business challenges, focusing on adaptive algorithms that maintain performance guarantees in non-stationary environments. His work addresses core problems in regret minimization, efficient exploration, and equilibrium computation, with increasing emphasis on supply chain optimization, auction design, and fair multi-agent systems. He designs methods that function effectively under constraints like delayed feedback, budget limitations, and unknown demand distributions. Analysis of his 15 most recent publications (2022-2025) reveals a consistent trajectory toward business-relevant applications while maintaining theoretical rigor. Key trends include contextual bandit extensions for advertising auctions, supply chain optimization under uncertainty, and fairness-aware multi-agent learning. His contributions appear in top-tier venues including COLT, ICML, and NeurIPS, with notable recognition including a NeurIPS 2020 Oral presentation. No scientific awards are documented in the provided materials. Zhang teaches Database Management (BAIS-3200) at the University of Iowa and previously served as teaching assistant for multiple graduate algorithms and machine learning courses at USC. No information regarding research grants or student advising is available in the source materials. No dedicated laboratory or research team structure is specified in the provided information.