جست‌وجوی استاد و پژوهشگر

• Metaheuristics
• Scheduling
• Vehicle Routing
• +۴ مورد دیگر

Tony Wauters is an Associate Professor at the Faculty of Engineering Technology within KU Leuven , affiliated with the Department of Computer Science and the Numerical Analysis and Applied Mathematics (NUMA) unit. He serves as coordinator for research and education in Computer Science at both the Bruges and Ghent-Aalst campuses. Additionally, he is a member of the KU Leuven Institute for Artificial Intelligence (Leuven.AI) and the Institute for Mobility (LIM) . Research Topics: Metaheuristics, Scheduling, Vehicle Routing, Cutting & Packing, Optimization Algorithms Projects: C3PO (2023-2027), Trustworthy Algorithms for Industrial Decision Making (2021-2024), Parallel Cutting & Packing Algorithms (2017-2021), Constructive Matheuristics (2015-2017), Integrated Scheduling & Queueing Methodologies (2016-2019) Engagement: Coordinator of the European Working Group on Cutting & Packing Optimization (ESICUP) His research focuses on developing advanced optimization algorithms for real-world industrial problems, particularly in cutting, packing, scheduling, and vehicle routing. His recent work includes goal-driven heuristics for bin packing, semi-discrete representations for nesting problems, and matheuristic frameworks for 3D packing with practical constraints. The article trends highlight applications in operations research, computational geometry, and industrial engineering. As a senior academic staff member , Wauters participates in the Faculty of Engineering Technology Council and the Computer Science Department Council . He contributes to education through courses like Machine Learning Techniques , Data Engineering , and Optimization Techniques .

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.

Ying Liمشاهده پروفایل

دانشیار

• Wireless Sensor Networks
• Drone Networks
• Ad Hoc Networks
• +۴ مورد دیگر

Ying Li is an Associate Professor of Computer Science at Colby College, located in Waterville, Maine. She holds a Ph.D. in Computer Science from the University of New Hampshire, and M.Eng. and B.Eng. degrees from Hubei University of Technology in China. Her research focuses on wireless networks, particularly in energy-efficient communication strategies for resource-limited environments such as drone networks, ad hoc networks, and delay-tolerant networks. She has contributed to protocols for improving network connectivity, data dissemination, and mission-oriented systems. Professor Li teaches courses including Computer Organization, Programming Languages, and Advanced Computer Networks. Her work emphasizes practical solutions for challenges in network security, service availability, and computing efficiency. Education: Ph.D. in Computer Science, University of New Hampshire M.Eng. in Applied Technology, Hubei University of Technology B.Eng. in Computer Science and Technology, Hubei University of Technology Research Interests: Dr. Li’s research spans Wireless Sensor Networks , Drone Networks , Ad Hoc Networks , and Delay-Tolerant Networks . She explores energy-efficient trajectory planning, multi-agent reinforcement learning for collaborative drone operations, and protocols to enhance reliability in intermittently connected systems. Recent efforts include studies on erasure coding for IoT communication and containerized network performance evaluation. Her work often bridges theoretical algorithm design with real-world network challenges. Grants & Advising: Professor Li has advised numerous students on research projects, including work on energy-aware routing, multi-agent systems, and drone replacement strategies. She collaborates on grants related to network optimization and resilience, though specific funding details are not detailed in the provided texts. Labs & Teams: While no dedicated lab is explicitly named, her research involves experimental setups in Colby’s Computer Science department, focusing on simulations and prototyping for network protocols and drone systems.

Michael Dienstknechtمشاهده پروفایل

استادیار

• Operations Research & Management Science
• Transportation Science & Technology
• Construction Operations & Logistics
• +۵ مورد دیگر

Dr. Michael Dienstknecht is an Assistant Professor in the Operations Department at the Faculty of Economics and Business, University of Groningen. Previously, he served as a Post-doctoral Researcher at the Chair of Production and Logistics, University of Wuppertal, Germany (2019-2023), and completed his PhD there in 2014-2019. He holds a Master's degree in Business Administration with a focus on Supply Chain Management (University of Cologne, 2012-2014) and a Bachelor's in Business Administration (University of Cologne, 2009-2012). Education: PhD (2019), MSc (2014), BSc (2012) His research spans Operations Research and Management Science , with a focus on Construction Logistics , Last-Mile Delivery , and Sharing Economy applications. He has developed optimization models for tower crane positioning, drone resupply systems, and sustainable aviation fuel supply chains. Recent work includes dynamic approaches to carsharing demand imbalance and resource allocation in construction projects. Key publication trends center on optimization algorithms , industrial logistics , and sustainable systems . His work intersects with UN Sustainable Development Goals (SDGs) related to climate action and industry innovation.

Ferhan Cebiمشاهده پروفایل

استاد

• Production Systems
• Supply Chain Management
• Operations Management
• +۴ مورد دیگر

Ferhan Cebi is a Professor at Istanbul Technical University's Department of Management Engineering, actively contributing to academia since 2000. With expertise in decision science, operations management, and Industry 4.0, he has published extensively in areas including supply chain networks, fuzzy logic applications, and insurance analytics. His research spans theoretical model development and real-world implementations. Academic credentials include: Doctorate in Management Engineering (ITU, 1997) MSc in Management Engineering (ITU, 1989) Licence in Chemical Engineering (ITU, 1985) Research interests focus on: Industry 4.0 transformation frameworks Fuzzy decision-making systems Supply chain optimization Insurance company performance analysis Smart logistics solutions Digital transformation in performing arts Recent publications demonstrate cross-disciplinary impact: 2024-2025 work on cosmetic product tracking systems Dynamic efficiency analysis for non-life insurance companies Industry 4.0 operational improvement models Container loading optimization algorithms Recognitions include: 2022 ITU Academic Performance Awards 1999 IMDA Best Congress Paper Active in academic service since 2000, he has held leadership roles including Deputy Head of Department (2008-2013) and Program Head (2004-2006). His h-index of 11 reflects significant research impact with over 467 Scopus citations.

• Transportation
• Logistics
• Supply Chains
• +۶ مورد دیگر

Assoc Prof Kok Choon Tan is an Associate Professor in the Department of Analytics and Operations at the NUS Business School. He holds a Deputy Director role at the Centre for Maritime Studies (CMS), Singapore. His research focuses on container terminal operations optimization, maritime logistics, and simulation-based decision-making. He has been with NUS since 1984, starting as a Senior Tutor in Mathematics, and later earning a Post-Graduate Diploma in Teaching in Higher Education (PG DipTHE) to enhance his pedagogical skills. Research Interests: Transportation and logistics optimization, applied mathematics, operations research modeling, and maritime systems. He leads the Port Operations Modelling & Analysis track at CMS, focusing on container terminal efficiency through mathematical optimization and simulation. Teaching Philosophy: Emphasizes student-centered learning, active learning strategies (e.g., collaborative learning, case studies), and bridging theory to real-world applications. His teaching integrates problem-solving, critical thinking, and presentation skills development through group projects and industrial case studies. Recent Research Trends: His articles address AGV scheduling, container relocation under uncertainty, and multi-modal port operations. These contributions highlight innovations in automated systems, data-driven decision-making, and sustainability in port logistics. Labs/Teams: Active in the NUS Centre for Maritime Studies and collaborates with departments in Industrial Systems Engineering and Civil & Environmental Engineering. His work supports Singapore’s maritime and logistics industry through applied research and strategic planning.

Jörn Schönbergerمشاهده پروفایل

استاد

• Transport Logistics
• Supply Chain Management
• Operations Research
• +۳ مورد دیگر

Professor Jörn Schönberger leads the Chair of Transport Services and Logistics, focusing on advanced transportation and logistics systems. His work spans rail freight, public transport, and supply chain optimization. Affiliation: Chair of Transport Services and Logistics, Dresden Research Interests Rail Transport: Eurasian container flows, service quality assessment, and international passenger rail potential. Supply Chain Management: Heterogeneous supply chains, production-routing coordination, and network design. Operations Research: Optimization models, vehicle routing, and robust decision-making under uncertainty. Sustainable Mobility: Eco-routing applications, zero-emission transport, and greenhouse gas reduction in logistics. Publication Trends Recent work emphasizes rail freight efficiency, sustainable transport systems, and machine learning applications in mobility. Key subfields include international logistics, vehicle routing algorithms, and cross-border transport planning.

Alf Kimmsمشاهده پروفایل

استاد

• Operations Research
• Logistics and Supply Chain Management
• Revenue Management
• +۶ مورد دیگر

Prof. Alf Kimms is a full professor at the University of Duisburg-Essen, holding the chair of Logistics and Traffic Management. He previously served as a full professor at the Technical University of Freiberg (2001–2006). His research focuses on applying operations research methods to logistics, supply chain optimization, revenue management, and evacuation planning. He earned his Ph.D. in Business Administration from the University of Kiel (1996) and his postdoctoral lecturer qualification (2001), both focusing on project management and production scheduling. Kimms' academic career is marked by contributions to high-impact journals such as European Journal of Operational Research and Annals of Operations Research . He has led projects for companies like Bayer, Lufthansa, and DaimlerChrysler, emphasizing practical applications of optimization. A 2005 Handelsblatt ranking placed him among Germany’s top ten business administration professors. He actively participates in professional societies, including the German OR Society (GOR), where he founded the Revenue Management working group. His research spans network design, disaster response logistics, cooperative game theory, and airline alliance strategies. Notable projects include evacuation modeling for urban areas and revenue management frameworks for broadcasting industries. Kimms reviews for the German Research Foundation (DFG) and serves on international conference committees, balancing academic rigor with industry collaboration.

• Systems Engineering
• Control Engineering
• Discrete Event Systems
• +۷ مورد دیگر

Mariagrazia Dotoli is a Full Professor in Systems and Control Engineering at the Polytechnic University of Bari, Department of Electrical and Information Engineering, where she has been serving since 1999. She previously held the position of Vice Rector for Research (2011-2013) and served as a member elect of the Academic Senate (2012-2015). Currently, she coordinates the interuniversity PhD course in Industry 4.0 between the Polytechnic University of Bari and the University of Bari Aldo Moro. Her research interests span across multiple domains of systems engineering, with particular focus on discrete event industrial systems, Petri nets, manufacturing systems, supply chains, logistics and transportation systems, traffic networks, and energy systems. Her work bridges theoretical control systems with practical industrial applications, especially in the context of Industry 4.0 and smart manufacturing. Her extensive publication record demonstrates consistent contributions to automation science and engineering, with recent work focusing on warehouse optimization, collaborative robotics, supply chain management, and smart energy systems. Her research shows a clear trend toward integrating classical control theory with modern computational approaches, including machine learning and optimization algorithms for industrial applications. Prof. Dotoli maintains significant editorial responsibilities as Senior Editor of the IEEE Transactions on Automation Science and Engineering and Associate Editor for multiple IEEE journals. She has organized and chaired numerous international conferences including CASE2024, MED2021, and CODIT2020, demonstrating leadership in the automation community. Her academic career shows continuous progression from Assistant Professor (1999) to Full Professor, with additional leadership roles in university administration and international professional organizations. She remains actively engaged in both theoretical research and practical industrial applications of control systems engineering.

Yasser M Dessoukyمشاهده پروفایل

استاد

• Industrial Engineering
• Operations Research
• Simulation and Modeling
• +۵ مورد دیگر

Yasser M. Dessouky is a Professor and Chair of the Department of Industrial and Systems Engineering at San José State University . He also serves as the Undergraduate Program Coordinator. His academic journey includes a Ph.D. from Arizona State University (1993), an M.S. from Arizona State University (1987), and a B.S. from the University of Wisconsin-Madison (1984). His research focuses on simulation and modeling , supply chain optimization , logistics systems , and microelectronics manufacturing . Notable contributions include work on automated guided vehicle (AGV) scheduling, transportation systems simulation, and interdisciplinary engineering education programs. He has led funded projects totaling over $500,000, including initiatives in supply chain sustainability, virtual plant modeling, and educational curriculum development. Research Highlights: • Developed simulation frameworks for optimizing transportation infrastructure (e.g., light rail systems, truck productivity). • Pioneered object-oriented simulation tools for real-time manufacturing processes. • Co-founded San José State’s Microelectronics Process Engineering program, recognized for its industry-aligned curriculum. • Authored over 50 peer-reviewed articles in journals like Computers & Industrial Engineering and International Journal of Production Research . Professional Experience: Consulted for major corporations including Applied Materials, Texas Instruments, and General Electric. His applied research addresses challenges in manufacturing efficiency, transportation logistics, and facility management. He has also served as a PI/Co-PI on NSF-funded projects and industry-sponsored initiatives. Grants & Projects: • $478,817 NSF grant for developing an interdisciplinary microelectronics curriculum (2000–2002). • $58,948 PATH grant for improving truck trailer safety and productivity (2004–2005). • Multiple SJSU COE Development Grants for supply chain research and Six Sigma education. Labs & Programs: Leads the Microelectronics Process Engineering laboratory, equipping students with skills in semiconductor manufacturing and process engineering. Collaborates with industry partners on real-world projects, emphasizing hands-on learning and innovation.

Andreas Ernstمشاهده پروفایل

استاد

• Operations Research
• Optimization
• Scheduling
• +۶ مورد دیگر

Andreas Ernst is a Professor in the School of Mathematics at Monash University, Australia. He also serves as a Senior Research Fellow with the Australia Indonesia Centre and a Chief Investigator in the ARC Training Centre OPTiMA. His primary research focuses on optimization and operations research, particularly in developing large-scale integer programming methods and matheuristics for applications in transport, logistics, energy, and mining. Ernst leads the MAXIMA Academy for cross-disciplinary mathematical applications and has contributed to projects such as rail scheduling in Indonesia and coal supply chain optimization. Roles: Professor (Monash University), Senior Research Fellow (Australia Indonesia Centre), Chief Investigator (OPTiMA) Key Research Areas: Scheduling, Combinatorial Optimization, Network Design, Parallel Matheuristics Ernst's work addresses real-world challenges through algorithmic innovation, including hub location problems, vehicle routing, and resource allocation in healthcare. His projects often involve collaboration with industry partners like Equans Services and the Defence Science and Technology Group. He actively supervises PhD/Masters students in areas such as machine learning for discrete optimization and rail scheduling. Notable contributions include the development of benchmark datasets for hub location (Australia Post), convoy movement, and surgical scheduling, hosted on Mathprog-ORlib . His research aligns with UN Sustainable Development Goals, particularly in optimizing resource use and infrastructure planning.

Maolin Tangمشاهده پروفایل

مدرس ارشد

• Cloud Computing
• Big Data
• Energy Efficiency
• +۵ مورد دیگر

Dr. Maolin Tang is a Senior Lecturer in the School of Computer Science at Queensland University of Technology (QUT). He holds a PhD in Engineering from Edith Cowan University, a Master of Engineering in Computer Science from Chongqing University, and a Bachelor of Engineering in Computer Software from Huazhong University of Science and Technology. His research focuses on Big Data Cloud Computing, Energy-Efficient Data Centres, QoS-Aware Web Service Composition, and SaaS Optimization in the Cloud. Dr. Tang’s work addresses challenges such as MapReduce computation in dynamic cloud environments, energy efficiency in data centres, and composite service optimization. He has supervised numerous PhD students and published extensively in top-tier journals like IEEE Transactions on Industrial Electronics and Expert Systems with Applications. His research combines evolutionary computation techniques, genetic algorithms, and optimization strategies to solve complex computational problems. Education : PhD (Engineering), Edith Cowan University Master of Engineering (Computer Science), Chongqing University Bachelor of Engineering (Computer Software), Huazhong University of Science and Technology Dr. Tang’s research interests emphasize energy-efficient data centre management, cloud resource provisioning, and the application of computational intelligence to real-world challenges. His work on MapReduce in cloud computing aims to improve scalability and QoS guarantees, while his energy-efficient frameworks reduce operational costs and environmental impact. He is actively involved in supervising PhD students and collaborating on projects funded by initiatives like CRC for Smart Services. His publications span topics such as virtual machine placement optimization, SaaS deployment, and algorithmic approaches to dynamic resource management. Dr. Tang teaches advanced courses in algorithms and computational complexity at both undergraduate and postgraduate levels.

Babak Abbasiمشاهده پروفایل

استاد

• Operations Research
• Business Analytics
• Decision Sciences
• +۵ مورد دیگر

Professor Babak Abbasi is a Deputy Dean, Research & Innovation at RMIT University's Department of Accounting, Info Sys & Supply Chain. His research focuses on quantitative modeling, decision-making under uncertainty, and applications in healthcare, supply chain, and disaster management. He holds a Professor academic rank and has collaborated with institutions like Yale University and industry partners such as Australian Red Cross Blood Life and KPMG. Research Interests: Intersection of machine learning and optimization, healthcare analytics, blood supply chain management, stochastic optimization, and disaster management. Notable software contributions include the SPSA-FSR package in R and the Empty Container Relocation Problem teaching tool. Awards: RMIT Research Impact Award (Enterprise) 2016 RMIT Award for Excellence – Industry Engagement in Graduate Research 2020 Endeavour Fellowship Award 2009 Media Engagements: Published in The Conversation and Australian Forests and Timber , with works viewed over 95k times. Advising and Grants: Supervised over 20 research projects, including optimization in public healthcare, blood supply chains, and disaster response. Active in workforce development and industry partnerships. Labs/Teams: Member of the Centre for Information Discovery and Data Analytics and Global Transport and Logistics Research Group at RMIT.

• Operations Research
• Maritime Logistics
• Vehicle Routing
• +۵ مورد دیگر

Magnus Stålhane is a Professor at the Department of Industrial Economics and Technology Management, Norwegian University of Science and Technology (NTNU). His research focuses on Operations Research , Maritime Logistics , Vehicle Routing , and Optimization , with applications in offshore wind farms, liner shipping, and military logistics. He has published extensively in journals like Transportation Science , European Journal of Operational Research , and Journal of Heuristics . Recent works include Electric Vehicle Routing with heterogeneous recharging technologies, Maritime Fleet Composition under emission restrictions, and Inventory Routing with time-varying demands. His methodologies span Branch-Price-and-Cut , Matheuristics , and Stochastic Programming . Collaborations include researchers from NTNU, Norwegian institutions, and international teams.

Mohamed Ben Ahmedمشاهده پروفایل

دانشیار

• Logistics Optimization
• Supply Chain Management
• Transportation Systems
• +۵ مورد دیگر

Mohamed Ben Ahmed serves as an Associate Professor in Quantitative Logistics at Molde University College's Logistics Department, specializing in optimization and decision support systems for complex logistics networks. His work integrates mathematical modeling with real-world transportation challenges across maritime, airline, and urban mobility sectors. Educational Background: PhD in Quantitative Logistics, Molde University College (2023) - Thesis: 'Analysis of Integrated Planning Models in Logistics' MSc in Industrial Engineering, National School of Engineering, Tunis (2013) BSc in Physics and Chemistry, Preparatory Institute of Engineering Studies, Monastir (2010) His research focuses on developing robust solutions for logistics under uncertainty, with particular expertise in hybrid algorithms combining exact and heuristic methods. Key areas include sustainable micromobility systems, green maritime transportation, automated container terminal operations, and integrated airline scheduling. Current work emphasizes automation in logistics processes and decision-making frameworks resilient to disruptions. Analysis of his 15 most recent publications (2017-2025) reveals a strong trend toward practical applications of optimization in emerging logistics domains, particularly micromobility simulation and green technology adoption. His work consistently bridges theoretical algorithm development with industry-relevant case studies, showing increasing emphasis on sustainability metrics and real-time decision support systems. No scientific awards are currently listed in available sources. His research is conducted within the Planning, Optimization and Decision Support group, focusing on mathematical modeling of logistics networks. While specific grant information isn't provided, his publications indicate collaboration with major industry partners in maritime and aviation sectors. Current projects include developing open-source simulation tools for micromobility planning and optimization frameworks for automated container terminals.