جست‌وجوی استاد و پژوهشگر

Xiyuan Maمشاهده پروفایل

مدرس

• Inventory Control
• Stochastic Optimization
• Business Analytics
• +۳ مورد دیگر

Xiyuan Ma is a Lecturer in Business Analytics at the Business School of The University of Edinburgh, affiliated with the Department of Management Science and Business Economics. Her research focuses on mathematical programming applications for inventory control and decision-making under uncertainty. PhD in Operational Research (2023) from The University of Edinburgh Her work addresses stochastic inventory control, lot-sizing optimization, and hybrid policy development. She applies advanced mathematical programming techniques to tackle non-stationary demand patterns and lateral transshipment challenges in supply chain systems. Recent publications highlight her expertise in stochastic dynamic programming (100% overlap), optimal policy derivation (100% coverage), and fuzzy preference relations for group decision-making (100% focus). Key subfields include mixed-integer nonlinear programming, control strategies, and heuristic algorithm development. Research outputs show strong engagement with computational methods (98% overlap), operations research (95% relevance), and decision support systems (78% contribution). All articles demonstrate interdisciplinary approaches combining business analytics with engineering optimization principles.

Marcos Alejandro Colebrook Santamaríaمشاهده پروفایل

دانشیار

• Bioinformatics/Computational Genomics
• Big Data/Data Science
• Analytics
• +۳ مورد دیگر

Marcos Alejandro Colebrook Santamaría is an Associate Professor at the Department of Computer Science and Systems Engineering, Universidad de La Laguna. He has served as Deputy Director of the School of Computer Science and has been active since 2008. His research focuses on Bioinformatics/Computational Genomics, Big Data/Data Science, and Analytics. He holds a Ph.D. (2003) and Master's (1993) in Computer Science and has supervised over 20 Final-Year Dissertations. Education: Ph.D. in Statistics, Operations Research & Computing (2003), Universidad de La Laguna Master in Computer Science (1993), University of Las Palmas de Gran Canaria University Expert Degree in Software Engineering (2007), Universidad de La Laguna His research interests span facility location optimization, inventory management algorithms, and multi-objective decision-making. Notable contributions include polynomial algorithms for cent-dian location problems and biobjective Dijkstra algorithms. Awards: European Doctorate Mention (2003). Advising/Grants: Supervised/co-supervised over 20 theses and participated in 19 research projects. Active in TARO (Software Engineering) and INO (Operations Research) groups. Labs/Teams: Member of TARO and INO research groups, contributing to Bioinformatics and Data Science initiatives.

Ulas OZENمشاهده پروفایل

دانشیار

• Supply Chain Management
• Operations Management
• Supply Chain Contracting and Coordination
• +۳ مورد دیگر

Ulas Ozen is an Associate Professor of Supply Chain Management at EM Normandie since 2023. He holds a PhD in Operations Management and Logistics from Eindhoven University of Technology (2007). His research focuses on supply chain operations, stochastic modeling, inventory theory, and game-theoretic approaches to supply chain coordination. Prior roles include Associate Professorships at IMT Dubai (2021–2023) and Ozyegin University (2014–2020), and a Research Scientist position at Alcatel-Lucent Bell Labs (2008–2012). His work bridges theoretical contributions (e.g., cooperative game frameworks) with applied problems like tactical inventory planning in repair services. Research interests span Stochastic inventory systems under uncertainty Cooperative strategies in supply chains Dynamic optimization in production planning Service-level driven inventory models Recent work emphasizes spare parts systems and penalty cost structures in cooperative models. Over 15+ publications appear in top journals like Production and Operations Management and European Journal of Operational Research . Professional service includes R&D consulting at ICRON Technologies (part-time, 2018–2020). His academic contributions integrate theoretical rigor with real-world operational challenges, particularly in high-tech manufacturing and repair logistics.

• Artificial Intelligence
• Constraint Programming
• Optimization
• +۴ مورد دیگر

Professor Ken Brown is a faculty member at the Department of Computer Science, University College Cork (UCC), Ireland. He holds roles as Professor and Deputy Director of the Insight Centre for Data Analytics. His research focuses on Artificial Intelligence, constraint programming, optimization, and applications in wireless/sensor networks. He has led major projects including the Insight Centre (SFI), CTVR (telecom), and Authentic (energy management). Affiliations: Insight Centre, CTVR, GLACIATION, SEISMEC Key awards: IEEE SECON 2015 Best Demo, TAOS 2014 Best Paper Education: BSc (Mathematics, Glasgow), MSc (Logic & Computation, Manchester), PhD (AI in Engineering, Bristol). Extensive postdoc and academic roles at UCC, Aberdeen, and Carnegie Mellon. Research interests include constraint-based decision support, smart building systems, and network resilience. Over 150+ publications in journals like Ad Hoc Networks , Constraints , and conferences like IEEE SECON, ICTAI. Grants: Over €10M secured, including SFI, EI, and ERC funding. Supervised 30+ PhD/MSc students. Current research includes smart energy systems, autonomous network repair, and AI for emergency response.

Fengmei Gongمشاهده پروفایل

دانشیار

• Economics IT
• IT Productivity
• IT-Enabled Business Models
• +۳ مورد دیگر

Dr. Fengmei Gong is an Associate Professor in the Operations & Information Technology Data Analytics Department at the University of La Verne's College of Business. She holds a PhD in Management Information Systems from the University of Calgary (2015) and a PhD in Management Science from Huazhong University of Science & Technology (2008). Her research focuses on Economics IT, IT Productivity, and IT-Enabled Business Models, with a strong emphasis on logistics, supply chain management, and technology-driven operational strategies. Her work explores topics such as IT spillover effects on efficiency, hardware/software impacts on manufacturing, and logistics-outsourcing contract structures. She has published extensively on supply chain collaboration, supply hub models, and logistics capabilities. Her research bridges theoretical frameworks with practical applications in operational decision-making and digital transformation. Teaching areas include Management Information Systems. No scientific awards are explicitly mentioned in the provided texts. She has advised no listed students. Her articles reflect a focus on optimizing supply chain dynamics, leveraging IT for business efficiency, and analyzing logistics networks. Grants and lab affiliations are not detailed in the data.

Amir Azadniaمشاهده پروفایل

دانشیار

• Business Analytics
• Sustainable Operations Management
• Supply Chain Management
• +۳ مورد دیگر

Dr. Amir Azadnia is an Associate Professor in Operations and Supply Chains Analytics at Maynooth University School of Business. Previously, he held roles as Lecturer at Letterkenny Institute of Technology and academic leadership positions at IAU, including Dean of Engineering and Head of Management. His research focuses on business analytics tools for sustainable operations and supply chain management, with notable contributions to circular supply chains, risk analysis, and multi-criteria decision-making. He has secured EU-funded projects and published in top journals like International Journal of Production Research and Renewable and Sustainable Energy Reviews. Education: Bachelor’s in Industrial Engineering (Mazandaran University of Science and Technology) PhD in Industrial Engineering (Universiti Teknologi Malaysia) Master’s in Industrial Management (IAU) Research Interests: Business Analytics Sustainable Operations and Supply Chain Management Circular Supply Chain Multi-Criteria Decision-Making Risk Analysis His recent articles emphasize resilient supply chain design, industry 4.0 challenges, and green hydrogen logistics. Notable awards include the Research Ally Prize (2022) and Teaching Hero Award (2021). He actively reviews for journals like Journal of Cleaner Production and serves on editorial boards. Grants & Projects: Academic Lead for EU-funded projects on waste reduction and industry readiness PI on SWOT analysis of IT implementation in special schools Labs/Teams: Collaborates with the Hamilton Institute and Innovation Value Institute (IVI) at Maynooth University.

Jim Bookbinderمشاهده پروفایل

استاد

• Logistics
• Supply Chain Management
• Inventory Management
• +۱۰ مورد دیگر

Jim Bookbinder is a Professor in the Department of Management Sciences at the University of Waterloo and Director of the Waterloo Management of Integrated Manufacturing Systems (WATMIMS) research group. He holds an active status in academia and industry collaborations, focusing on logistics, supply chain optimization, and operations research. Previously, he served as President of the Canadian Operational Research Society (CORS) and Chair of the Transportation Science and Logistics Section at INFORMS. Education: Doctorate in Applied Mathematics (1969), University of California-San Diego Master's in Physics (1967), University of California-San Diego Bachelor's in Mathematics (1964), San Diego State University Master's in Economics and Finance (1974), University of Toronto Research Interests: Dr. Bookbinder specializes in applied operations research, including logistics, inventory management, freight transportation, and optimization. His work bridges academic theory and industrial practice, collaborating with firms like Canadian Tire, CN North America, and Ford Motor Company of Canada. He emphasizes sustainability in humanitarian supply chains and Industry 4.0 technologies. Recent Publications Trends: His recent articles address emerging challenges in logistics, such as emergency hazardous material management, crowdsourced delivery systems, and off-peak urban freight strategies. He combines stochastic modeling, simulation, and data analytics to solve real-world operational problems. Awards: CORS Award of Merit (2024) Gold Medal Award (Canadian Operational Research Society) CORS Service Award Advising & Grants: Dr. Bookbinder has held leadership roles on grant selection committees, including NSERC and SSHRC. He currently oversees WATMIMS workshops and actively supervises graduate students through his SSPS (Sole-Supervisory Privilege Status) accreditation. His research has been supported by industry partnerships and government grants. Labs & Teams: WATMIMS, founded in 2007, is a flagship initiative focusing on integrated manufacturing systems. It hosts annual industry workshops on topics like supply chain management and NAFTA logistics, fostering academia-industry knowledge exchange.

Chee Khian Simمشاهده پروفایل

مدرس ارشد

• Mathematical Optimization
• Operational Research
• Supply Chain Management
• +۵ مورد دیگر

Chee Khian Sim is a Senior Lecturer at the School of Mathematics & Physics, University of Portsmouth, and a member of the Centre for Operational Research & Logistics (CORL). He specializes in mathematical optimization and its applications in operational research, with expertise in optimization algorithms, supply chain management, and inventory systems. He holds a PhD from the National University of Singapore (2005), an MSc from the University of Washington (1997), and a BSc from the National University of Singapore (1992). His research focuses on first and second-order optimization methods, including interior point algorithms for conic optimization and subgradient methods for convex/nonconvex problems. He also investigates supply chain optimization, particularly inventory management strategies. He teaches modules such as Mathematical Models, Quantitative Supply Chain Management, and Logistics Modelling. Sim has contributed to over 20 research outputs, including articles on convergence analysis of splitting methods, inventory policies, and interior point algorithms. His work has been recognized with a Fellowship (2015). He actively reviews for journals like Optimization Methods and Software and participates in international conferences. He supervises PhD students in mathematical optimization and operational research.

Wilco van den Heuvelمشاهده پروفایل

دانشیار

• Operations Research
• Production Planning
• Supply Chain Optimization
• +۷ مورد دیگر

Wilco van den Heuvel is an Associate Professor at the Econometric Institute within the Erasmus School of Economics, Erasmus University Rotterdam. His research lies at the intersection of operations research and production planning, with a focus on algorithmic solutions for lot-sizing and supply chain optimization problems. Research Interests: His primary research interests include deterministic production planning, extensions of the economic lot-sizing model, and the development of efficient algorithms. He actively investigates integrated problems involving production, maintenance, and logistics, with increasing applications in reinforcement learning and customer-centric return systems. His work spans theoretical complexity analysis and practical implementations in real-world supply chains. Recent Research Trends: Analysis of his recent publications reveals a strong focus on integrated optimization models, particularly combining lot sizing with maintenance and market selection. There is a growing interest in data-driven logistics, as seen in his work on hierarchical clustering and customer-to-customer returns using reinforcement learning techniques. His research consistently targets computational efficiency and scalability. Scientific Service: Editorial Board Member, IISE Transactions (since June 2019) Editorial Board Member, Omega (United Kingdom) (since May 2014) Advising and Research Output: He has supervised multiple research projects and co-authored a doctoral thesis on exact methods for hierarchical clustering. His research output includes over 80 contributions, with recent work published in top-tier journals such as Operations Research , European Journal of Operational Research , and Omega . He is actively involved in both theoretical and applied operations research, contributing to software implementations and real-world logistics solutions. Collaborative Networks: His research collaborations span multiple institutions, with a strong presence in European operations research networks. His work frequently involves interdisciplinary teams focusing on supply chain innovation and computational optimization.

Matteo Savinoمشاهده پروفایل

استاد

• Production Management
• Supply Chain Management
• Maintenance Optimization
• +۷ مورد دیگر

Matteo Savino is a Full Professor at the Department of Engineering, Università degli Studi del Sannio . His academic career spans over 25 years with extensive contributions to production management, supply chain optimization, and quality systems. Research focuses on integrating Quality/Safety/Environment management systems Specializes in predictive maintenance and logistics optimization Active in multi-agent system applications for dynamic production environments Research trends show consistent work in: Maintenance cost optimization (1998-2024) Supply chain modeling (2005-2019) Industry 4.0 implementation (2018-2019) Risk analysis frameworks (2017) His publications demonstrate deep engagement with: Fuzzy logic applications Linear scheduling methods Machine learning for maintenance Resource allocation models

Nico P. Dellaertمشاهده پروفایل

دانشیار

• Quantitative Modeling
• Logistics
• Healthcare Operations
• +۴ مورد دیگر

Nico P. Dellaert is an Associate Professor at Eindhoven University of Technology (TU/e) in the Department of Industrial Engineering & Innovation Sciences. His research focuses on quantitative modeling of business processes, with applications in logistics, healthcare operations, and production-inventory control. He has contributed to diverse fields such as sewer system design, insurance claim behavior, and container terminal planning. Education: Mathematics (MSc) from Delft University of Technology; PhD in Production to Order at Eindhoven University of Technology. His prime research interests include integrating capacity and production decisions, city logistics, multimodal transportation, and healthcare planning. He employs mathematical modeling techniques in collaboration with companies and hospitals, emphasizing adaptability and practical implementation. Nico has been recognized with the IIE Transactions Best Paper Award (2012) and the EURO Award for Best EJOR Review Paper (2016). He has directed the International Program in Logistics Management Systems (2002-2011) and led the Health Care Operations Lab within the OPAC group. His teaching portfolio covers inventory control, system dynamics, healthcare logistics, and operations planning. Projects like 'Multi-echelon Inventory Optimization' (2019-2021) and 'Da Vinc3i' (2011-2014) highlight his applied research approach. Collaborations span sectors including healthcare, logistics, and production systems.

Grigory Pishchulovمشاهده پروفایل

مدرس ارشد

• Supply Chain Management
• Sustainable Supply Chain Management
• Supply Chain Coordination
• +۴ مورد دیگر

Grigory Pishchulov is a Senior Lecturer in Information Systems and Supply Chain Management at Alliance Manchester Business School, The University of Manchester , where he also serves as Programme Director for the BSc in Information Technology Management for Business. He holds a PhD in Operations Management from European University Viadrina Frankfurt (Oder), Germany. Roles: Senior Lecturer, Programme Director, Research Fellow (Smart Manufacturing, 2017–2019) External Roles: Part-Time Professor at St Petersburg State University (2017–2021) Research Focus: Sustainable supply chains, supply chain coordination, digital platforms, and SME collaboration in Industry 4.0 His work contributes to UN Sustainable Development Goals, particularly in sustainable practices and innovation. He has secured funding from the German Federal Government, Leverhulme Trust, and ESRC, including a Leverhulme Visiting Fellowship (2010). Research outputs include 38 publications in top journals like European Journal of Operational Research and Annals of Operations Research , plus datasets on supply chain collaboration models and journal rankings. Awards: Best Reviewer Award (2021) Activities: Peer review for conferences, organizing the 2nd International Conference on Business Management in the Digital Economy (2019) Pishchulov advises on PhD projects and contributes to initiatives like the Supply Chain Team Formation Data Model . His work bridges academia and industry through digital innovation and sustainability in global supply networks.

Karim Chattiمشاهده پروفایل

استاد

• Pavement Engineering
• Transportation Engineering
• Mechanistic Modeling of Pavement Systems
• +۴ مورد دیگر

Dr. Karim Chatti is a Professor of Civil and Environmental Engineering at Michigan State University's College of Engineering. He serves as Editor-in-Chief of the ASCE Journal of Transportation Engineering, Part B: Pavements and is an internationally recognized expert in pavement engineering. His research focuses on mechanistic modeling of pavement systems, including dynamics, vehicle-pavement interaction, pavement preservation, and long-term performance. Sponsored by agencies like FHWA and USDOT, his work addresses challenges in pavement design, maintenance, and sensor-based monitoring. Education: Ph.D., Civil Engineering, University of California-Berkeley (1992) M.S., Civil Engineering, Michigan State University (1987) B.S., Civil Engineering, Michigan State University (1985) Research Interests: Dr. Chatti's research spans pavement dynamics, mechanistic modeling, and sustainable infrastructure. He develops methodologies for predicting pavement response to traffic loads and environmental factors, with applications to continuous health monitoring and preservation strategies. His work integrates sensor technology and data analytics to enhance infrastructure resilience. Publications Trends: Recent articles highlight advancements in pavement monitoring techniques, rolling resistance measurement, and seasonal/diurnal effects on pavement performance. Collaborations with institutions like the FHWA and CalTrans underscore practical applications of his findings. Awards: Fellow, American Society of Civil Engineers (2018) Robert G. Packard Award (2008) ASCE/FHWA LTPP Data Analysis Award (2002) Grants and Service: Research funded by USDOT, FHWA, and NCHRP. Active in editorial roles and professional societies, including ASCE. His academic service includes contributions to curriculum development using LTPP databases.

• Quantitative Finance
• Risk Management in Finance and Logistics
• Optimization
• +۷ مورد دیگر

Paolo Brandimarte is a Full Professor at the Department of Mathematical Sciences (DISMA) of Politecnico di Torino. His research spans Quantitative Finance, Risk Management, Logistics, Optimization, and Reinforcement Learning. He teaches advanced courses like Optimization Methods for Control Applications and Business Analytics. Scientific Role: Operations Research (MATH-06/A), Mathematical and Computer Sciences. Teaching: PhD and Master’s programs in Mathematical Sciences and Engineering. He leads research in Robust and Stochastic Optimization, with applications in finance, logistics, and renewable energy. His work includes Monte Carlo Simulation, Dynamic Programming, and data-driven control strategies. Recent publications focus on fashion retail inventory optimization, autonomous robotics scheduling, and stochastic lot-sizing problems. He has supervised multiple PhD students in mathematical sciences and contributes to editorial boards like StatsRef. Current projects include AI for marine monitoring (AIMS, 2023–2025) and commercial applications in supply chain logistics.

Michal Tzurمشاهده پروفایل

استاد

• Online Transportation Problems
• Machine Learning combined with Optimization
• Humanitarian Logistics
• +۳ مورد دیگر

Prof. Michal Tzur is a distinguished faculty member at Tel Aviv University's Industrial Engineering Department within The Iby and Aladar Fleischman Faculty of Engineering. She has served as department chair during two separate terms (2004-2006 and 2019-2021) and previously held faculty positions at the Wharton School of the University of Pennsylvania and as a visiting faculty member at Northwestern University's Department of Industrial Engineering and Management Sciences. From 2015-2017, she served as president of the Operations Research Society of Israel (ORSIS). Her research spans multiple critical domains in operations research and industrial engineering, with particular focus on Online Transportation Problems, Machine Learning combined with Optimization, Humanitarian Logistics, Vehicle Sharing Systems, Supply Chain Management, and Inventory Management. Her work demonstrates a consistent evolution from foundational theoretical work in inventory and lot-sizing problems toward increasingly applied research addressing contemporary challenges in transportation, humanitarian logistics, and shared mobility systems. Notably, her recent publications show a strong emphasis on fairness considerations in resource allocation and optimization problems. Prof. Tzur's publication record reveals a clear trajectory from foundational work in inventory theory and lot-sizing problems toward increasingly applied research addressing real-world challenges. Her work on bike-sharing systems represents one of her most impactful research streams, with multiple publications analyzing different aspects of vehicle sharing systems. More recently, she has made significant contributions to humanitarian logistics, with several papers addressing critical challenges in disaster response and resource allocation, earning her a Best Paper Award in 2018. Best Paper Award for 'Designing Humanitarian Supply Chains by Incorporating Actual Post-Disaster Decisions' in European Journal of Operational Research (2018) Prof. Tzur has successfully advised numerous doctoral students, with seven PhD students listed in her record including Mor Kaspi, Iris Forma, Reut Noham, Ohad Eisenhandler, Adi Sarid, Gal Neria, and Gabriel Deza. Her collaborative approach is evident in many of her publications, particularly with colleagues like Tal Raviv, with whom she has jointly supervised several students and co-authored multiple papers. While specific grant information isn't detailed in the provided text, her sustained research output across multiple domains suggests successful funding acquisition throughout her career. Though specific lab information isn't explicitly provided in the text, Prof. Tzur's research appears to be conducted through collaborative efforts within the Industrial Engineering Department at Tel Aviv University, with strong connections to the Operations Research community in Israel and internationally. Her recent work on humanitarian logistics and transportation systems suggests involvement in research groups focused on applied optimization for societal benefit.