Find Academic Supervisors

Hao-Wei ChenView profile

Assistant Professor

• Supply Chain Management
• Retail Operations
• Healthcare Operations Management
• +3 more

Hao-Wei Chen is an Assistant Professor in the Department of Information Operations and Technology Management at the John B. and Lillian E. Neff College of Business and Innovation, University of Toledo. His academic roles include teaching and research in operations management and supply chain optimization. He holds a PhD in Industrial and Systems Engineering from the University of Minnesota (2011), a Master of Science in Computer Science from Eastern Michigan University (2005), and a Bachelor of Science in Electronic Engineering from Fu Jen Catholic University (2001). Dr. Chen's research focuses on supply chain management, healthcare operations, retail logistics, and quality management. His work explores topics such as fast-ship commitment contracts, inventory risk mitigation, multi-panel clinic resource allocation, and paratransit service efficiency. He has published extensively in journals like Production and Operations Management and IIE Transactions . In 2015, he received the IIE Transactions Best Paper Award for his work on scheduling and logistics. His research bridges theoretical models with practical applications, addressing real-world challenges in retail supply chains, healthcare systems, and transportation networks. He advises on inventory policies, demand-responsive transit systems, and quality improvement initiatives in industrial settings.

Yannis MarinakisView profile

Professor

• Stochastic Optimization
• Combinatorial Optimization
• Nature Inspired Algorithms
• +7 more

Dr. Yannis Marinakis is a Professor at the School of Production Engineering and Management , Technical University of Crete, specializing in Stochastic Optimization, Combinatorial Optimization, and Nature Inspired Algorithms. He holds a Diploma, M.Sc., and Ph.D. from the same university, with over 4,687 citations and recognition in top 2% global scientists. He teaches courses on Combinatorial Optimization, Game Theory, and Supply Chain Management, and supervises numerous graduate and doctoral students. His research focuses on metaheuristic algorithms for logistics optimization, vehicle routing problems, and game theory applications. Education: Technical University of Crete (Diploma 1999, M.Sc. 2001, Ph.D. 2005) Affiliations: Hellenic Open University (Quantitative Methods and Business Administration), University of the Aegean (Financial Management Engineering) Research Interests: He designs and applies nature-inspired algorithms (e.g., Ant Colony, Particle Swarm) to solve complex optimization problems in logistics, supply chain, and transportation. Key areas include vehicle routing problems (VRP), stochastic optimization, and game theory. Recent Work: His articles address blockchain applications in maritime logistics, electric vehicle routing with drones, and swarm intelligence for VRP solutions. His 2025 work on blockchain-aided berth allocation demonstrates interdisciplinary innovation. Awards: Top 100,000 Scientists (Stanford, 2019–2021), Top 2% Global Researchers Grants: Led projects on maritime logistics algorithms, berth allocation optimization, and energy-efficient routing systems. Collaborations: Active in EU-funded initiatives (e.g., ARTISAN for energy-aware systems) and cross-disciplinary teams in computational logistics.

• Operations Research
• Vehicle Routing Problems
• Graph Coloring
• +2 more

Daniel Porumbel is an Associate Professor with expertise in operations research and combinatorial optimization. His research focuses on developing algorithms for complex routing problems under uncertainty, particularly capacitated vehicle routing with evidential demands. Key research areas include belief function theory, permutation set-covering problems, and efficient lower bound techniques for routing and location problems. Research Interests: Optimization under uncertainty using evidential demands Column generation and local search metaheuristics Dual feasible functions for routing optimization

• Healthcare Logistics
• Operations Research
• Supply Chain Optimization
• +3 more

Issam NOUAOURI is an Associate Professor with HDR (Habilitation à Diriger des Recherches) specializing in healthcare logistics, operations research, and disaster management. His research focuses on optimizing patient flows, material resources, and supply chain networks in dynamic and uncertain environments. Key areas include emergency medical services, sustainable supply chains, and AI-driven healthcare solutions. Education: Ph.D. Thesis: 'Gestion hospitalière en situation d’exception: optimisation des ressources critiques' (2006-2010) HDR: 'Contribution à l’optimisation des flux de patients et matières dans un environnement incertain et dynamique' (2023) Research interests span healthcare logistics, optimization algorithms (metaheuristics, genetic algorithms), disaster response planning, and sustainable supply chain design. Notable work includes modeling ambulance routing, emergency department resource allocation, and collaborative hospital networks. Publications emphasize practical applications in healthcare systems, such as reducing patient waiting times, optimizing vehicle routing for hazardous waste, and integrating AI in disease diagnosis. His work bridges theoretical optimization and real-world healthcare challenges. Grants and collaborations include projects on hospital logistics within Groupements Hospitaliers de Territoire (GHT), disaster management systems, and rail safety co-simulation. He has supervised seven Ph.D. students focusing on healthcare scheduling, supply chain optimization, and hyperheuristics. Labs/Teams: Active contributor to the LGI2A laboratory, focusing on interdisciplinary research in intelligent systems and healthcare operations.

• Bioinformatics
• Artificial Intelligence
• Computer Science
• +3 more

Jie Hao is a researcher at the Information Security Center of Beijing University of Posts and Telecommunications , with a focus on interdisciplinary applications spanning Bioinformatics , Artificial Intelligence , and Medical Informatics . His work bridges computational methods with real-world challenges in healthcare, ecology, and network optimization. Recent publications highlight his contributions to Single-cell RNA sequencing deconvolution (2025) AI-driven intergenerational communication in VR (2025) Digital health applications for COPD management (2025) Deep reinforcement learning for vehicle routing (2025) His methodological innovations include adaptive attention mechanisms for object detection (2025), memory-efficient DNN accelerators (2025), and bilevel optimization algorithms with unbounded smoothness (2024). Collaborations span institutions like University of Melbourne and Chinese Academy of Sciences , reflecting his cross-disciplinary impact.

Bruno Barreto de GóesView profile

Assistant Professor

• Strategic Management
• International Business
• Corporate Sustainability
• +2 more

Bruno Barreto de Góes is an Assistant Professor in the Department of Management and International Business at the University of New Haven's Pompea College of Business. He holds a Ph.D. in Business Administration from Temple University and completed postdoctoral research at Florida International University. His research focuses on strategic management in global contexts, particularly corporate sustainability diffusion in supply networks and international market expansion strategies. Recent work examines innovation ecosystems, Industry 4.0 logistics, and emerging market competitiveness. Publication trends show consistent focus on operational optimization (vehicle routing, machine scheduling) evolving toward sustainability integration and Industry 4.0 applications. His empirical work frequently employs metaheuristic algorithms and econometric analysis across manufacturing and logistics contexts.

Saravanan KuppusamyView profile

Associate Professor

• Supply Chain Management
• Sustainable Operations
• Inventory Management
• +2 more

Dr. Saravanan Kuppusamy (SK) is an Associate Professor at Rowan University's William G. Rohrer College of Business. He holds a Ph.D. in Operations Management from the University of Cincinnati, along with an M.S. in Industrial Engineering from West Virginia University and a B.S. in Mechanical Engineering from Coimbatore Institute of Technology. His research focuses on sustainable operations, supply chain management, inventory control, transportation optimization, additive manufacturing, and food supply chains. Prior to academia, he accumulated extensive industry experience at Schneider Logistics, PepsiCo, Kimberly-Clark, and Case New Holland across logistics, manufacturing, and consumer goods sectors. Dr. Kuppusamy teaches courses in global supply chain management, supply chain analytics, and business logistics. His publications appear in leading journals including European Journal of Operational Research and Transportation Research Part E.

Fernando GarzonView profile

Professor

• Electrochemical Energy Conversion Technology
• Fuel Cells and Batteries
• Electrochemical Synthesis of Fuels and Chemical Feedstocks
• +11 more

Fernando Garzon serves as a Professor of Chemical and Biological Engineering at the University of New Mexico and holds a joint appointment as a Faculty Research Scientist at Sandia National Laboratory in the Advanced Materials Laboratory (1815 organization). He directs the Center for Micro-Engineered Materials at UNM and maintains a distinguished research career spanning several decades in materials science and electrochemistry. Garzon's research focuses on electrochemical energy conversion technologies , with particular expertise in fuel cells, batteries, chemical sensor development, heterogeneous catalysis, and ceramic thin film materials. His work bridges fundamental materials science with practical applications in energy systems and environmental monitoring. His laboratory develops advanced gas sensors for natural gas emissions monitoring, creates novel materials for energy storage in high-temperature environments, and investigates electrochemical synthesis pathways for fuels and chemicals. Analysis of Garzon's recent publications reveals a strong emphasis on materials for energy applications , with particular focus on gas sensors, fuel cell technologies, and electrochemical synthesis methods. His work increasingly incorporates computational approaches and advanced manufacturing techniques like additive manufacturing to develop next-generation materials. The research spans fundamental material properties to practical applications in environmental monitoring and space vehicle power systems. Los Alamos National Laboratory 2012 Fellow's Prize for Scientific Leadership DOE-EERE Hydrogen and Fuel Cell Program 2009 Award Fellow of the Electrochemical Society (2008) Scientific American's Top 50 Science and Technology Achievements (2003) R&D 100 Award for Sulfur Resistant Oxygen Sensor Technology (1999) Garzon has secured substantial research funding throughout his career, with extensive collaborations across national laboratories, industry partners including Ford Motor Company, DuPont, and General Motors, as well as numerous academic institutions worldwide. His leadership extends beyond research to significant service roles, having served as President of the Electrochemical Society (2012-2013), Vice President (2009-2012), and currently as a member of the ECS Technical Affairs committee. At Sandia National Laboratory, Garzon leads research in the Advanced Materials Laboratory, with particular focus on developing advanced explosives forensic technology for national security applications. His UNM research group maintains strong connections with Los Alamos National Laboratory where he previously worked for 26 years, creating a robust pipeline for student training and technology transfer between academic and national laboratory settings.

Melih OzlenView profile

Associate Professor

• Operations Research
• Combinatorial Optimisation
• Mathematical Programming
• +1 more

Associate Professor Melih Ozlen serves as Deputy Head of Department (Academic Operations) in the Department of Mathematical and Geospatial Science within RMIT University's School of Science at the City Campus in Australia. With a strong academic background in operations research and optimization, he has established himself as a leading researcher in combinatorial optimization, mathematical programming, and multi-objective optimization. His research interests focus on practical applications of optimization techniques across various domains including healthcare logistics, wildfire management, network optimization, and power systems. Ozlen's work bridges theoretical optimization methods with real-world challenges, particularly in resource allocation problems under uncertainty. The publication record reveals a consistent research trajectory with emphasis on decomposition methods, evolutionary algorithms, and matheuristic approaches for solving complex optimization problems. His recent work shows increasing focus on healthcare applications while maintaining strong contributions to wildfire management and network optimization problems. As an active reviewer for prestigious journals including European Journal of Operational Research and Computers and Operations Research, as well as the Australian Research Council, Ozlen contributes significantly to the academic community. His professional memberships span key organizations including INFORMS, Australian Mathematical Society, and Australian Society for Operations Research. Ozlen actively supervises graduate students with current projects focusing on home care optimization, multi-objective mixed integer programming, and vehicle routing problems with applications to wildfire management. His teaching interests align with his research expertise in operations research, combinatorial optimization, mathematical programming, and multi-objective optimization.

Stefan MinnerView profile

Professor

• Logistics
• Supply Chain Management
• Inventory Management
• +9 more

Prof. Stefan Minner is a Full Professor of Logistics and Supply Chain Management at the TUM School of Management, Technical University of Munich since 2012. His academic career includes professorships at the University of Vienna (2008–2012) and University of Mannheim (2004–2008), with prior roles at the University of Calgary and University of Magdeburg. He holds a Ph.D. (1999) and Habilitation (2003) from Magdeburg, focusing on supply chain optimization and inventory management. Research focuses on data-driven logistics network design, inventory management under uncertainty, and urban logistics. Key areas include blockchain in supply chains, commodity procurement strategies, and automation in retail operations. He serves as Editor-in-Chief for the International Journal of Production Economics and holds leadership roles in logistics societies like the German Logistics Association (BVL) and International Society for Inventory Research (ISIR). His honors include Fellow of ISIR (2016), Wirtschaftswoche Top Researcher (2020), and the M&SOM Practice-based Research Competition (2019). Research output spans 25+ years, with recent work addressing AI in logistics, sustainable supply chains, and pandemic-era ambulance dispatching systems. Teaching includes courses on inventory management, transportation analytics, and sustainable supply chains. His lab's work integrates optimization, simulation, and empirical methods to solve real-world logistics challenges in automotive, retail, and manufacturing sectors.

• Cognitive Radio Networks
• Reinforcement Learning Applications
• Wireless Communications
• +7 more

Professor Kok-Lim Alvin Yau is an accomplished academic at Taylor's University in Malaysia, specializing in cognitive radio networks, reinforcement learning applications, and intelligent communications systems. With over 75 publications spanning from 2011 to 2025, he has established himself as a leading researcher in wireless networking and artificial intelligence applications in communications. His research interests encompass cognitive radio networks, reinforcement learning for networking applications, vehicular communications, edge computing, and the integration of AI in communication systems. Professor Yau's work demonstrates a consistent focus on applying machine learning techniques to solve complex networking challenges, particularly in dynamic spectrum access and resource allocation problems. Analysis of his recent publications (2023-2025) reveals a strategic shift toward more interdisciplinary research, combining reinforcement learning with generative AI techniques, exploring semantic communications, and addressing challenges in 6G-enabled vehicular networks. His work shows increasing emphasis on practical implementations and real-world applications of theoretical concepts, particularly in intelligent transportation systems and edge computing environments. Professor Yau has made significant contributions through numerous survey papers that have helped shape research directions in cognitive radio networks and reinforcement learning applications. His editorial work for special issues in IEEE Access and other journals demonstrates his standing in the academic community. He has successfully supervised multiple PhD students including Geong Sen Poh, Mee Hong Ling, and Aqeel Raza Syed, with whom he continues to collaborate on research projects. His international collaborations span institutions in China, Pakistan, and the UK, reflecting the global recognition of his research expertise.

• Networking
• Edge Computing
• 5G/6G Technologies
• +5 more

Dr. Giang T. Nguyen is an academic researcher affiliated with Dresden University of Technology (Germany), specializing in advanced networking technologies. His primary affiliation is with the College of Computer Science and the Department of Networking and Communication Systems. He collaborates extensively with Prof. Frank H. P. Fitzek and other researchers on cutting-edge projects. Research Interests: Giang's work focuses on Network Functions Virtualization (NFV) , Edge Computing , Time-Sensitive Networking (TSN) , 5G/6G Technologies , and In-Network Computing (COIN) . He explores applications in industrial automation, tactile internet, and immersive media delivery, with a strong emphasis on latency reduction and network reliability. Publications: His recent work includes advancements in programmable network coding, TSN testbed development, and latency-optimized architectures for XR and IoT systems. Over 100+ publications since 2013 reflect his contributions to edge computing frameworks, network simulation tools (e.g., ns-3, OMNeT++), and collaborative SLAM systems. Key Projects: He leads initiatives like the TSN-FlexTest measurement testbed and the NET Playground heterogeneous network lab. His research bridges theoretical networking concepts with practical implementations in industrial robotics and emergency response systems.

Joel AnstromView profile

Academic

• Hybrid Electric Vehicles
• Fuel Cell Technology
• Vehicle Dynamics
• +3 more

Joel Anstrom is an Associate Research Professor affiliated with the Larson Pennsylvania Transportation Institute at Pennsylvania State University. His research focuses on advanced vehicle systems, including hybrid electric and fuel cell vehicles, energy storage systems, and electric drive-based active safety technologies such as anti-lock braking and vehicle stability control. He holds a prominent role in integrating cutting-edge technologies into transportation solutions. His work emphasizes practical applications like route-based energy analysis for hybrid rail systems, lithium-ion battery diagnostics, and model development for vehicle stability systems. Anstrom collaborates on interdisciplinary projects, such as the GATE Penn State program aimed at advancing automotive technology education in energy storage. Key research themes include energy efficiency, hybrid powertrains, and sustainable transportation. While no specific awards are listed, his contributions to peer-reviewed journals highlight his technical expertise. He has advised multiple collaborative projects but no formal advisee名单 are explicitly mentioned. Anstrom’s research aligns with Penn State’s broader initiatives in integrated energy systems and automotive innovation, positioning him as a leader in next-generation vehicle technologies.

Laurie GarrowView profile

Professor

• Aviation
• Urban Air Mobility
• Transportation Systems
• +4 more

Dr. Laurie Garrow is a prominent aviation expert and researcher at Georgia Institute of Technology, directing the ATL@GT Center. Her work focuses on emerging air transportation systems, including electric vertical takeoff and landing (eVTOL) aircraft and urban air mobility (UAM). She leads research on demand modeling for air taxi services, competitive market dynamics, and the integration of new technologies like New Distribution Capability (NDC) in airlines. Her studies analyze commuter behavior, city-specific feasibility of air taxi operations, and policy implications for rural transit funding. Dr. Garrow’s research combines geospatial analysis, discrete choice modeling, and large-scale data to evaluate transportation systems. Notable projects include mapping potential commuter air taxi routes in 40 US cities, comparing UAM with autonomous ground vehicles, and assessing barriers to AAM implementation in Germany and the US. Her work also explores post-COVID-19 airline industry transformations and innovative teaching methods in flipped classrooms. Her publications span transportation engineering, policy, and operations research, with a focus on advancing sustainable mobility solutions. Collaborations with industry partners like Uber Elevate and NASA highlight her role in bridging academic research with real-world applications.

Carlo Augusto GraziaView profile

Assistant Professor

• Networking Protocols
• Vehicular Communications
• Wireless Networks
• +6 more

Carlo Augusto Grazia is a Tenure Track Assistant Professor at the Department of Engineering Enzo Ferrari, University of Modena and Reggio Emilia. He holds a M.S. in Theoretical Computer Science (2012) and a Ph.D. in ICT (2016). His research focuses on networking protocols, vehicular communications, and wireless systems optimization. Key projects include the SURPRISE satellite software project, the IGNITE 5.0 smart industrial networking initiative, and V2X safety-related applications with Alstom. He has collaborated on EU-funded projects like FP7 PPDR-TC and PRIN 2009 SFINGI. His work spans TCP/IP algorithms, QoS, SDN, and deadlock analysis in concurrent systems. Recent studies explore 5G energy efficiency, V2X field trials, and 5G MEC architectures for smart cities. He has developed tools like Flent, TEMPEST, and PINK AQM. His contributions are published in IEEE journals and conferences, emphasizing practical solutions for emergency networks and high-speed vehicular systems. Education: M.S. (2012, Bologna), Ph.D. (2016, Modena and Reggio Emilia). Research Interests: Linux-based TCP/IP optimization Vehicle-to-Everything (V2X) communication standards (IEEE 802.11p) SDN and resource pooling for public safety Low-latency wireless protocols Emergency network architectures Articles Trends: Focus on TCP performance in wireless environments, vehicular safety systems, and 5G energy footprint analysis. Recent work addresses latency in smart city applications and modular packet scheduling frameworks. Advising & Grants: Led projects on satellite-LTE integration, disaster recovery networks, and automotive smart areas. Collaborations include ESA, Alstom, and EU initiatives. Labs/Teams: Active in the Modena Automotive Smart Area (MASA) and develops open-source tools like C2ML middleware for satellite optimization.