Find Academic Supervisors

Julie PaquetteView profile

Associate Professor

• Service Operations Management
• Transportation
• E-commerce Logistics
• +3 more

Julie Paquette is an Associate Professor in the Department of Logistics and Operations Management at HEC Montréal. She holds a Ph.D. in administration, M.Sc. in logistics, and B.A.A. in quantitative methods from HEC Montréal. Her research focuses on Service Operations Management, Transportation, E-commerce Logistics, and Supply Chain Optimization in nonprofit/humanitarian contexts. She actively supervises Master's theses and projects, with 7 completed theses and 22+ supervised projects in the last five years. Dr. Paquette is the Pedagogical Coordinator for the Operations and Supply Chain Management Specialization in HEC Montréal's M.Sc. program and a member of the executive committee at CIRRELT (Interuniversity Research Centre on Enterprise Networks, Logistics, and Transportation). Her teaching includes courses like OPER 20525 (Logistics) and OPER 20505 (Service Operations Management). Research interests emphasize optimizing supply chains for humanitarian organizations and sustainable urban transport. Recent work addresses e-commerce logistics challenges and humanitarian logistics in East Africa. She has published in journals like INFOR and Omega, and contributed chapters on humanitarian supply chains. Supervision activities span logistics optimization in healthcare, agro-food industries, and e-commerce platforms.

Gilbert LaporteView profile

Professor

• Logistics
• Mobility
• Combinatorial Optimization
• +3 more

Gilbert Laporte is a Professor at HEC Montréal since 1976, holding the Canada Research Chair in Distribution Management. He is a globally recognized expert in logistics, mobility, and combinatorial optimization, with over 500 publications and 19 books. His affiliations include GERAD and CIRRELT research centers. Key awards include Fellow of the Royal Society of Canada (1998), Grand Prize for Excellence in Teaching (2001), Grand Prize for Excellence in Research (2012), and the Order of Canada (2019). He earned an honorary PhD from Eindhoven University of Technology in 2016. Research focuses on transportation systems, vehicle routing, and sustainable logistics. Recent work addresses electric truck routing, drone integration, and decarbonization strategies. His contributions span theoretical advancements and real-world applications in humanitarian logistics and urban infrastructure resilience. Laporte collaborates on global challenges, including flood mitigation in Hanoi and dengue fever operational research. His work emphasizes interdisciplinary solutions, combining algorithmic rigor with societal impact.

Olga BattaiaView profile

Professor

• Supply Chain Management
• Sustainable Manufacturing
• Operations Research
• +7 more

Prof. Olga Battaia is a Full Professor in the Department of Operations Management and Information Systems at Kedge Business School, serving as Associate Dean for Research. She holds a PhD from École des Mines de Saint-Étienne (2007), recognized with the Best PhD Thesis Award. Her expertise spans Supply Chain Management, Sustainable Manufacturing, Operations Research, and Combinatorial Optimization. She has co-authored over 200 publications and supervised 11 PhD students. Current research focuses on reconfigurable manufacturing systems, human-robot collaboration, and sustainability in supply chains. Editorial Roles: Associate Editor for Journal of Manufacturing Systems, IISE Transactions, Omega. Memberships: CIRP (International Academy for Production Engineering), IFAC Technical Committee 5.2. Research highlights include optimizing vaccine allocation (2025), human-robot ergonomics (2024), and closed-loop supply chain equity (2023). Awards include the 2007 Best Thesis Award. Advising: Co-supervised 11 PhD students. Active in European projects and international conference organization.

Ana VianaView profile

Professor

• Combinatorial Optimization
• Integer Programming
• Operations Research
• +5 more

Ana Viana serves as Coordinator Professor at the Polytechnic Institute of Porto, School of Engineering, and as Coordinator Researcher at the Centre for Industrial Engineering and Management of INESC TEC. She has maintained these dual appointments since December 9, 1997, demonstrating sustained commitment to both academic instruction and advanced research in industrial engineering. Her research centers on Combinatorial Optimization, specializing in the development of exact algorithms and meta-heuristic approaches to complex decision problems. Dr. Viana's work bridges theoretical advancements with practical applications in healthcare logistics and transportation systems, where optimization techniques solve real-world challenges in resource allocation and matching problems. Her recent publications reveal a strong trajectory in applying operations research to kidney exchange programs and last-mile delivery optimization. She has pioneered concepts like locally stable exchanges in kidney matching and developed innovative data-driven approaches to crowd-sourced delivery systems. Her work consistently appears in premier journals including European Journal of Operational Research, Mathematics of Operations Research, and Computers & Operations Research. As an academic supervisor, Dr. Viana has guided numerous graduate students through thesis research on photovoltaic systems, production planning in footwear manufacturing, logistics network analysis, and power grid optimization. She has led multiple publicly funded research projects that translate theoretical insights into practical industrial applications.

• Network Security
• AI Security
• Internet of Things (IoT)
• +7 more

Dr. Rabab Al Zaidi is a Lecturer in Computer Networking at the University of Salford's School of Science, Engineering & Environment. With 17+ years in academia and industry, she holds a PhD from the University of Essex and prior roles at Essex, Anglia Ruskin, and Central Lancashire. Her research focuses on network security, AI security, blockchain, and IoT, particularly in 6G and vehicular networks. She teaches IoT, routing, and cloud computing, and supervises PhD students. Education: PhD in Electronic System Engineering, University of Essex (2014–2018) MSc in Software Engineering, University of Technology (2006–2008) Research Interests: Network Security, AI Security IoT and 6G Networks Blockchain & Emerging Tech Cloud Computing & Mobile Sensor Networks Publications: Recent work addresses FinTech cybersecurity frameworks, maritime security via AI-optimized cryptography, and latency modeling in blockchain-IoT systems. The Metaverse security paper proposes GAN-based intrusion detection. Advising & Grants: Actively supervises PhD students but no specific grants mentioned. Part of the Informatics Research Centre.

• Sustainability
• Supply Chain Management
• Operations Research
• +5 more

Zahra Mohammadnazari is an Assistant Lecturer in Business Processes and Operations Management at the CBL School of Management, Coventry University, and concurrently a Doctorate Student at the Research Centre for Business in Society. Her research focuses on sustainability, supply chain optimization, waste management, and blockchain applications in logistics. She holds a Master of Research from Kingston University (2022), an MSc in Industrial Engineering from the University of Tehran (2021), and is pursuing her Doctorate in Block chain enabled life cycle assessment in copper-flower supply chains at Coventry University (2022–2025). Her academic contributions span innovative approaches to municipal solid waste management, sustainable supply chain design, and disaster logistics optimization. Collaborations highlight cross-disciplinary work in environmental science, healthcare logistics, and data-driven decision-making. Zahra’s research methodologies often integrate machine learning, operations research, and multi-criteria decision analysis to address complex socio-technical systems challenges. Notable research outputs include a 2024 case study on England’s municipal waste management systems and a 2023 co-edited book on Industry 5.0’s gig economy. Her work has been cited 4 times (Scopus, 2023) and frequently addresses real-world applications in food security, disaster recovery, and sustainable manufacturing.

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

Mahdi Noorizadegan is a Senior Lecturer (Assistant Professor) in Operations and Supply Chain Management at Northumbria University's Department of Operations, Marketing and Systems. He holds a PhD from Warwick Business School (University of Warwick, UK) and prior academic experience at Niroo Research Institute in Tehran, Iran. His education includes a BSc and MSc in Industrial Engineering from Amirkabir University of Technology, Iran. Research focuses on decision-making under uncertainty, stochastic mixed-integer programming, and applications in healthcare, energy, logistics, and supply chain management. Key methodologies include optimization techniques for large-scale problems with probabilistic constraints. Teaching spans courses such as Building Business Practice, International Operations Management, Quantitative Research Methods, and Discrete Event Simulation. Supervision includes a PhD candidate exploring sustainability frameworks in UAE's hydrocarbon sector. Publications emphasize energy systems optimization, vehicle routing under uncertainty, healthcare scheduling, and export cluster analysis. Current research explores computationally efficient solutions for complex operational challenges across industries.

• Transportation Science
• Transportation Engineering
• Urban Planning
• +4 more

Tamás Soltész is a researcher affiliated with the Department of Transport Technology and Transport Economics at Budapest University of Technology and Economics (BME), holding roles in both the Department of Transport Technology and Transport Economics (2021–present) and the Department of Transport Operations and Transport Economics (2013–2020). His research focuses on optimizing transportation systems, urban planning, and sustainable mobility solutions. Key research interests include public transport scheduling, intercity rail propulsion systems, traffic simulation models, and pedestrian dynamics. He has contributed to projects like the PROSPECT study on road user conflicts and developed methods for analyzing travel time patterns in urban settings. His articles span topics such as express transport scheduling, hydrogen-powered rail systems, and infrastructure booking systems. Notable works address challenges in optimizing passenger flow through simulation techniques and improving traffic management algorithms. No scientific awards or grants are explicitly listed in the provided text. His academic contributions emphasize practical solutions for transportation efficiency and safety, with a focus on匈牙利 (Hungarian) urban and intercity networks.

• Computer Vision
• Computer Graphics
• Machine Learning
• +5 more

Dr. Anil Bas is a Research Fellow at Bournemouth University's Centre for Applied Creative Technologies (CfACTs), supported by the Marie Skłodowska-Curie Actions Postdoctoral Fellowship. His work bridges computer vision, graphics, and machine learning, with a focus on photorealistic 3D scene representations, digital avatars, and AI-driven creative projects. Prior to this, he served as an Assistant Professor and Deputy Head of Department at Marmara University, Istanbul. He holds a PhD in Computer Science from the University of York (2018), funded by the Turkish Higher Education Council. His research explores novel view synthesis, neural rendering, and generative AI applications in creative fields such as poetry and drama. Notable projects include Silwerwit in die soontoe , an AI-generated Afrikaans poetry book, and studies on AI's role in post-anthropocene performance art. He also investigates technical challenges in face reconstruction, vehicle routing optimization, and maker education. Dr. Bas has contributed to over 20 peer-reviewed publications since 2013, spanning journals like International Journal of Computer Vision and conferences such as ECAI. His work frequently addresses interdisciplinary topics, blending computational methods with cultural and creative applications. He is actively involved in grant-funded projects and maintains strong ties to industry through collaborative research. Awards: Marie Skłodowska-Curie Actions Postdoctoral Fellowship (202X). External affiliations include roles as an ORCID researcher and social media presence across LinkedIn, Twitter (@dranilbas), and a personal website.

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.