جست‌وجوی استاد و پژوهشگر

• Supply Chain Management
• Operations Management
• Sustainability
• +۳ مورد دیگر

Nasrin Asgari is an Associate Professor in Supply Chain Management at Anglia Ruskin University (ARU), located in Cambridge. She holds a PhD in Industrial Engineering from Tarbiat Modarres University and a PGCER in Learning and Teaching from the University of Portsmouth. Education : PhD in Industrial Engineering (SCM), Tarbiat Modarres University PGCER in Learning and Teaching in Higher Education, University of Portsmouth MSc in Industrial Engineering (SCM), University of Tehran BSc in Industrial Engineering (Systems Analysis), Sharif University of Technology Research Interests focus on: Supply Chain Sustainability and Circular Economy Operations Management in Pandemic Scenarios Environmental Hazmat Routing and Fairness ICT in SME Supply Chains Food Waste Mitigation in Hospitality Her recent work addresses challenges like pandemic-driven supply chain resilience and circular economy strategies in fast fashion. Articles span real-world applications in maritime logistics, wheat storage systems, and faith community operations. Awards and Affiliations : Fellow of the Higher Education Academy (FHEA) Associate Editor, 'Supply Chain Analytics' journal Reviewer for 'European Journal of Operational Research' and others Grants and Consulting include a £2,500 grant from the Southland Methodist Trust for operations management in faith communities. She has also led projects on hazmat routing and food waste reduction. Active in editorial roles and international conferences, her research bridges theoretical models with industrial case studies across manufacturing, oil distribution, and hospitality sectors.

Alessandro Agnetisمشاهده پروفایل

استاد

• Combinatorial Optimization
• Scheduling Algorithms
• Operations Research
• +۳ مورد دیگر

Alessandro Agnetis is a Full Professor at the Department of Information Engineering and Mathematical Sciences, University of Siena, with expertise in combinatorial optimization and scheduling theory. His research spans operations research, multi-agent systems, and lean management applications, with recent publications focusing on adversarial bilevel scheduling, drone emergency logistics, and fairness-utility trade-offs in two-agent systems. Current Courses: Optimization Methods, Combinatorial Optimization, Production Planning (Master's in Engineering Management) Contact: alessandro.agnetis@unisi.it Research Trends: His work addresses complex scheduling problems across manufacturing, healthcare, and logistics, particularly emphasizing: Multi-agent coordination and Nash equilibrium models Parallel machine scheduling with unreliable jobs Emergency delivery optimization using drones Time-critical testing and cross-docking systems Lean management integration in healthcare operations

• Operations Research
• Mixed Integer Programming
• Network Optimization
• +۵ مورد دیگر

Hande Yaman Paternotte is a Professor at the Faculty of Economics and Business (FEB) at KU Leuven . Her academic work focuses on Operations Research , with particular emphasis on Mixed Integer Programming , Network Optimization , and Optimization under Uncertainty . She contributes to both theoretical advancements and practical applications in these fields. Unit: Operations Research and Statistics Research Group (ORSTAT) Member of LIM (KU Leuven Institute for Mobility) Senior academic staff in the Council of the Faculty of Economics and Business Senior academic staff in the Campus Council FEB Research Interests : Dr. Paternotte specializes in solving complex optimization problems in transportation and energy systems. Her work includes resilient infrastructure design , power system restoration , and multi-level/multi-stage optimization models. She integrates machine learning with optimization to enhance decision-making processes. Publication Trends : Her recent research spans integer programming for vehicle routing , graph partitioning , power system recovery , and dynamic resource allocation in evacuation scenarios. Applications extend to truck-drone synchronization and alternative fuel refueling networks . Teaching : She teaches courses in Applications of Operations Research and Optimization: Special Topics , fostering advanced problem-solving skills in students.

• Control Systems
• Electrical Engineering
• Robotics
• +۳ مورد دیگر

Srinivasa M Salapaka is a Professor at the University of Illinois, holding joint appointments in the Department of Mechanical Science and Engineering and the Department of Industrial and Enterprise Systems Engineering. He is also affiliated with the Coordinated Science Lab. His research focuses on control systems, power electronics, optimization algorithms, and robotics applications such as UAV routing and atomic force microscopy. Salapaka has received prestigious awards including the ASME Fellow (2015), IEEE Senior Member (2020), and NSF CAREER Award (2005). His work integrates theoretical advancements in control theory with practical applications in energy systems, including inverters for microgrids and grid stability solutions. Recent research emphasizes scalable UAV path planning, maximum entropy principle frameworks for resource allocation, and robust control designs for dynamic systems. Collaborations span aerospace, mechanical, and electrical engineering disciplines, addressing challenges in renewable energy, autonomous systems, and manufacturing processes. Salapaka's publications highlight contributions to multi-agent systems, optimization under constraints, and real-time control architectures. His lab's activities involve developing novel control frameworks for high-speed microscopy and investigating fouling prediction in industrial heat exchangers using machine learning. Research trends reflect a balance between foundational control methodologies and their deployment in emerging technologies like advanced air mobility and smart grids.

Antonina Tsvetkovaمشاهده پروفایل

دانشیار

• Supply Chain Management
• Sustainability
• Arctic Operations
• +۴ مورد دیگر

Antonina Tsvetkova is an Associate Professor at the Faculty of Logistics, Molde University College (HiMolde), located in Kristiansund, Norway. Her research focuses on Arctic supply chain resilience, sustainability, and institutional dynamics in extreme environments. She collaborates with institutions like the University of Maryland’s Ernst Lab on membrane lipid analysis and OMV biogenesis in bacteria. Her work bridges theoretical frameworks like institutional logics with practical challenges in Arctic logistics, emphasizing social-ecological resilience and sustainable development. Key areas include offshore supply ecosystems, carbon capture technologies, and governance of marine resources. She has published extensively in journals like International Journal of Operations & Production Management and edited volumes on Arctic supply chain operations. Research Groups: Supply Chain Management Office: 3-A04-01, Kristiansund Campus Phone: +4771195855 Dr. Tsvetkova’s recent work explores tensions between value creation and value capture in Arctic supply chains, particularly involving indigenous reindeer herders. She advocates for aligning supply chain practices with UN Sustainable Development Goals, emphasizing ethical, environmental, and social dimensions. Her collaborative projects address disruptions in offshore logistics and digital technologies in logistics education. Notable contributions include analyzing Northern Sea Route regulation and the role of supply vessels in Arctic energy projects.

Arild Hoffمشاهده پروفایل

استاد

• Operations Research
• Combinatorial Optimization
• Vehicle Routing
• +۳ مورد دیگر

Arild Hoff is a Professor of Quantitative Logistics at Molde University College, Faculty of Logistics. He teaches courses including LOG500 Management Models and Operations Research (Bachelor - Fall semester) and LOG530 Distribution Planning (Bachelor - Spring semester). Previously, he has taught several subjects within informatics, inventory and production management and exact optimization methods, both at bachelor and master level. His educational background includes: PhD in Logistics – Molde University College (2006) Cand. Scient. – University of Bergen (1998) Cand. Mag. – Molde University College (1994) Marketing – Trondheim Business School (1991) Business Economist – Trondheim Business School (1987) Professor Hoff's research focuses on operations research, planning, optimization and decision support, with particular emphasis on solution methods for combinatorial optimization problems, such as vehicle routing and hub location. His PhD thesis addressed "Heuristics for Rich Vehicle Routing Problems," exploring search methods for solving advanced vehicle routing problems with special constraints. His recent publications demonstrate a strong focus on maritime logistics, inventory routing problems, and optimization methods under uncertainty. His work spans applications in aquaculture, disaster relief, waste collection, and transportation planning, with a consistent emphasis on developing and applying advanced optimization techniques to complex real-world problems. Professor Hoff is actively involved in research groups including Energy Logistics (EneLog) and Planning, Optimization and Decision Support, with additional interests in aquaculture and other marine industries.

Jean-François Cordeauمشاهده پروفایل

استاد

• Logistics
• Transportation
• Combinatorial Optimization
• +۳ مورد دیگر

Jean-François Cordeau is a Professor at HEC Montréal, holding the Chair in Logistics and Transportation. He is affiliated with the Interuniversity Research Centre on Enterprise Networks, Logistics and Transportation (CIRRELT) and the Group for Research on Decision Analysis (GERAD). His expertise spans Logistics, Transportation, Combinatorial Optimization, and Mathematical Decomposition. Education: M.Sc. in Operational Research from HEC Montréal and Ph.D. in Engineering Mathematics from Polytechnique Montréal. Research focuses on logistics networks, transportation optimization, and stochastic modeling. Notable contributions include work on vehicle routing, hub network design, and supply chain planning. Recent publications address facility location under uncertainty, electric vehicle routing, and crowd-shipping optimization. Recipient of the Best Application Paper at the 10th IFAC Conference (2022) for a case study on optimizing routes for COVID-19 testers. Supervised 17 graduate students in recent years, including 3 PhD graduates and 14 MSc projects in logistics optimization and supply chain management. Teaches courses such as Optimization of Logistics and Transportation Networks and Planning and Control of Logistics Systems . Active in industry collaborations, contributing to maritime logistics, railway operations, and intermodal transportation solutions.

• Operations Research
• Transportation Science
• Discrete Choice Modeling
• +۴ مورد دیگر

Meritxell Pacheco Paneque is a Senior Researcher in the Department of Informatics at the University of Fribourg's Faculty of Management, Economics, and Social Sciences. Her research focuses on integrating advanced discrete choice models and optimization techniques to address complex decision-making problems in transportation and logistics. She holds a Ph.D. and actively contributes to both theoretical and applied research in operations research and transportation science. Her work emphasizes the development of mathematical frameworks that capture demand-supply interactions, particularly in contexts like waste collection routing, passenger satisfaction maximization, and railway disruption management. She employs methodologies such as Lagrangian decomposition, mixed-integer programming, and stochastic modeling to bridge behavioral sciences with optimization challenges. Key research outputs include pioneering work on choice-based optimization models, facility location under penalties, and traffic state estimation using connected vehicle data. Her research has been published in top journals like Transportation Research Part B and Computers & Operations Research . Pacheco Paneque collaborates with institutions and industry partners to advance practical applications of her models. Her ORCID profile (0000-0003-2192-7510) and email meritxell.pacheco@unifr.ch provide access to her full body of work.

Stephan Bohacekمشاهده پروفایل

دانشیار

• Enterprise Computing
• Networking
• Cloud Computing
• +۶ مورد دیگر

Stephan Bohacek is an Associate Professor at the University of Delaware, focusing on enterprise computing and networking. His research emphasizes performance modeling, analysis, and prediction across cloud computing environments and mobile ad hoc wireless networks (MANETs). He investigates trade-offs between cost and performance in cloud-based applications, including databases, web services, and big data systems like Hadoop. In networking, he studies mobility challenges in MANETs and protocol design for wireline networks (e.g., TCP, routing). His methodologies combine theoretical approaches (optimization, probability) with hands-on development (kernel hacking). Research data comes from live experiments and industry collaborations. Prof. Bohacek's work is characterized by rigorous mathematical analysis in his publications. No scientific awards or grants are explicitly mentioned in the provided text. His office is located in Evans 306, and he can be reached via bohacek@udel.edu.

Osman Gökalpمشاهده پروفایل

استادیار

• Evolutionary Computation
• Metaheuristic Algorithms
• Machine Learning
• +۵ مورد دیگر

Osman Gökalp is an Assistant Professor in the Department of Computer Engineering at Izmir Institute of Technology (IZTECH). He holds B.Sc., M.Sc., and Ph.D. degrees from Ege University's Computer Engineering department (2010, 2012, 2018). Previously, he served as a research assistant at Yaşar University (2011-2012) and Ege University (2014-2021), followed by an assistant professor position at Izmir Katip Çelebi University (2021-2024). His research focuses on evolutionary computation, metaheuristic algorithms, machine learning, and optimization problems with applications in medical imaging, cloud computing, and wireless sensor networks. Education: B.Sc. Computer Engineering, Ege University (2010) M.Sc. Computer Engineering, Ege University (2012) Ph.D. Computer Engineering, Ege University (2018) Research Interests: His work spans algorithm design for optimization problems, including metaheuristics like Greedy Construction and Differential Evolution. Notable areas include DNA motif discovery, task scheduling in cloud computing, and Alzheimer's disease detection via medical imaging. Projects: Contributions include repositories like 'WSN_Coverage_And_Connectivity' (Differential Evolution for sensor networks), 'CloudTaskSchedulingOptimization' (metaheuristics for cloud task scheduling), and 'MotifDiscovery' (DNA sequence analysis using GRASP metaheuristic). Labs/Teams: Active in IZTECH's Computer Engineering research groups, focusing on computational intelligence and algorithm development for real-world applications.

Adnen EL AMRAOUIمشاهده پروفایل

دانشیار

• Process Control
• Operations Research
• Logistics and Supply Chain Management
• +۵ مورد دیگر

Dr. Adnen EL AMRAOUI is an Associate Professor at the University of Artois, France, with a PhD in Process Control from the Technical University of Belfort-Montbéliard (UTBM, France). His research focuses on optimization, logistics systems, and healthcare operations, with expertise in cross-docking operations, supply chain resilience, and AI-driven decision support systems. He has contributed to advancing methodologies for home healthcare routing, sustainable farmer selection, and energy demand forecasting through multi-criteria decision frameworks. His academic background includes significant work on cyclic hoist scheduling problems, robust control systems, and distributed data compression for wireless sensor networks. Dr. EL AMRAOUI's research integrates operations research with emerging technologies like machine learning and IoT, addressing real-world challenges in healthcare logistics, energy systems, and agricultural supply chains. Key contributions include developing GVNS-based algorithms for home dialysis care logistics, hybrid approaches for resilient farmer selection in Tunisia, and systematic reviews on AI applications in cross-docking and fisheries management. His work emphasizes practical solutions for complex systems under uncertainty, with a focus on sustainability and operational efficiency. Dr. EL AMRAOUI holds an ORCID ID (https://orcid.org/0000-0001-9233-8655) and has published extensively in peer-reviewed journals and conference proceedings. His research spans interdisciplinary fields such as smart healthcare systems, renewable energy management, and industrial automation.

Matthew Bradburyمشاهده پروفایل

مدرس ارشد

• Cyber Security
• Context Privacy
• Trust Assessment
• +۳ مورد دیگر

Dr. Matthew Bradbury is a Senior Lecturer in Cyber Security at Lancaster University's School of Computing and Communications, part of the Security Systems Research Group. His work focuses on securing resource-constrained systems like IoT devices and distributed networks, addressing challenges such as context privacy, trust assessment, and multi-tenancy. He holds a Master of Engineering (2013) and PhD (2018) from the University of Warwick, followed by roles as a Research Fellow in WMG and the Department of Computer Science at Warwick before joining Lancaster in 2021. Research interests include IoT security, vehicular systems, and space cybersecurity. Notable projects include the FAIR-SPACE hub (2018–2019) for space systems verification, IoT-TRaM for vehicle cyber testing, and the CAPRI project for CAV reference architectures. He has led initiatives like the Competitive Advantage in the Digital Economy (CADE) Forum and contributed to standards for GNSS resilience and cyber testing facilities. His publications span secure offloading in edge-IoT, threat modeling for autonomous systems, and privacy-preserving routing protocols. Current opportunities include PhD supervision on security/privacy in cyber-physical systems.

Brian Levineمشاهده پروفایل

استاد

• Security
• Privacy
• Forensics
• +۵ مورد دیگر

Brian Levine is a Distinguished Professor and Director of the Cybersecurity Institute at the University of Massachusetts Amherst. He joined the Manning College of Information and Computer Sciences (CICS) in 1999, specializing in network security, privacy, and forensics, particularly in combating child exploitation. His work has led to tools like RoundUp, used globally to rescue hundreds of children from abuse. He holds a PhD in Computer Engineering from UC Santa Cruz and has been recognized with awards like the ACM Fellow (2020) and the IEEE INFOCOM Test of Time Award (2017). Key research areas include child sexual exploitation prevention, blockchain security, and peer-to-peer networks. He has published over 90 papers, cited 19,000+ times, and secured $12M+ in grants from NSF, DOJ, and others. His leadership roles include Co-Director of the UMass Data Core and founding director of the Cybersecurity Institute. Teaching highlights include courses on machine learning applied to security and forensics. Notable collaborations include work with FBI ICAC Task Forces and testimony to the U.S. Sentencing Commission. His lab’s tools and research have been featured in major media, including the New York Times and Wall Street Journal. Grants and funding span DOJ, NSF, and private sectors, focusing on child exploitation prevention and cybersecurity. His educational background includes a BS in Applied Mathematics and Computer Science from the University at Albany.

• Discrete Optimization
• Approximation Algorithms
• Mathematical Programming
• +۳ مورد دیگر

Zachary Friggstad is an Associate Professor in the Department of Computing Science at the University of Alberta. His research focuses on algorithm design for discrete optimization problems, including vehicle routing, facility placement, and scheduling. He specializes in approximation algorithms with proven performance guarantees, often leveraging convex relaxations like linear and semidefinite programming. Education: B.Sc. in Computing Science, University of Lethbridge, 2005 M.Sc. in Computing Science, University of Alberta, 2007 Ph.D. in Computing Science, University of Alberta, 2011 Research Interests: Discrete Optimization Approximation Algorithms Mathematical Programming Algorithm Design for NP-Hard Problems Graph Algorithms and Combinatorial Optimization His publications span over 50 works, with recent trends emphasizing fair clustering algorithms, TSP approximations, and narrative distillation in cross-media contexts. No scientific awards are explicitly listed in the provided text. He has advised no students in the listed records. His work bridges theoretical computer science and practical algorithmic solutions for complex optimization challenges.

• Plasma Physics
• Space Plasmas
• Space Physics
• +۳ مورد دیگر

Malik Mansour is a Researcher affiliated with the Plasma Physics Laboratory (LPP), a joint unit between Sorbonne University and Polytechnic School. His primary position is at the Polytechnic School campus located at route de Saclay, Palaiseau, France. He is a member of the Space Plasmas team, contributing to research on space missions, plasma instrumentation, and spatial data processing tools. Research interests focus on understanding plasma dynamics in space environments, including planetary magnetospheres, solar wind interactions, and instrumentation development for space exploration. The team’s work involves collaboration with space agencies and the integration of advanced analytical methods to interpret spatial data. No scientific awards or grants are explicitly listed in the provided text. While no formal advisee students are noted, his role in the Space Plasmas team suggests involvement in mentoring doctoral and internship candidates. He is based at the Palaiseau site of the LPP, part of the transverse research axes focusing on digital simulation and turbulence studies. The laboratory also emphasizes software development and IT support for plasma physics research.