جستجوی استاد راهنمای دانشگاهی

José Carlos Soares Brandãoمشاهده پروفایل

دانشیار

• Vehicle routing heuristics and metaheuristics
• Logistics
• Decision support systems
• +۲ مورد دیگر

José Carlos Soares Brandão is an Associate Professor with Habilitation in the Department of Management at the University of Minho, Portugal. He holds a Ph.D. in Management Science – Operational Research from Lancaster University (1994), an M.Sc. in Mathematical Methods for Economics and Management from ISEG (1991), and a B.Sc. in Production Engineering (Polymers branch) from the University of Minho (1982). His career combines academic research with practical experience as a Production Manager for four years. Ph.D. in Management Science – Operational Research, Lancaster University (1994) M.Sc. in Mathematical Methods for Economics and Management, ISEG (University of Lisbon) (1991) B.Sc. (honours) in Production Engineering – Polymers branch, University of Minho (1982) His research focuses on vehicle routing heuristics and metaheuristics, logistics optimization, and decision support systems. He has developed algorithms like tabu search, iterated local search, and memory-based methods for complex routing problems including time windows, backhauls, and capacitated arcs. Publications span journals like European Journal of Operational Research and Computers & Industrial Engineering . His work trends include solving open vehicle routing problems (2004-2018), mixed-backhaul routing (2005-2018), and fleet optimization challenges (2009-2011). Algorithm designs combine deterministic approaches (2006-2009), ejection chains (2018), and lower-bound techniques (2002). Applications target logistics decision support systems and capacitated arc routing (2008). He led the research project "Resolução de problemas de definição de rotas de veículos com recurso a meta-heurísticas" (2010-2013) with team members Isabel Cordeiro and José António Crispim. His teaching includes Production and Operations Management courses at the University of Minho.

Leonor Santiago Pintoمشاهده پروفایل

استادیار

• Operations Research
• Arc Routing Problems
• Vehicle Routing
• +۷ مورد دیگر

Leonor Santiago Pinto is an Assistant Professor in the Department of Mathematics at ISEG, University of Lisbon, specializing in Operations Research. She has been a faculty member since 1983 and previously taught at the University of Macau (1991–1998). She is actively involved in teaching and coordinates the Master’s program in Quantitative Methods for Economic and Business Decision-Making. Her research focuses on combinatorial optimization, particularly arc routing problems with applications in urban logistics, waste collection, parking enforcement, and conservation biology. She employs mathematical programming and heuristic methods to solve real-world logistical challenges. Her recent publications highlight a strong trend in applying arc routing models to municipal services, with emphasis on solution attractiveness, trip balancing, and hybrid matheuristics. Her work bridges theoretical optimization with practical implementation in urban environments. PhD in Mathematics Applied to Economics and Management, ISEG (2004) She has supervised numerous Master’s theses on topics including waste collection, scheduling, logistics, and optimization in healthcare and sports. She has co-supervised a doctoral thesis and continues to mentor students in quantitative decision-making. Leonor Pinto is affiliated with ISEG’s research initiatives in data and policy modeling, contributing to applied projects in urban sustainability and public service optimization.

• Operational Research
• Combinatorial Optimization
• Heuristics
• +۴ مورد دیگر

Maria Cândida Mourão is a full Professor in Operational Research at the Mathematics Department of ISEG - Lisbon School of Economics and Management, University of Lisbon. She serves on the Executive Committee and coordinates the Operational Research scientific area at ISEG, alongside active participation in CEMAPRE research center. PhD in Mathematics Applied to Economics and Management (1998) Aggregation in Mathematics, Operational Research (2010) Her research focuses on Combinatorial Optimization , Heuristics , and Mixed Integer Linear Programming to solve complex Arc Routing Problems in urban logistics, waste collection, and transportation. She has published extensively in top journals like European Journal of Operational Research , Networks , and Computers & Operations Research , contributing both theoretical models and real-world applications. Her work emphasizes bridging academic research with practical solutions for network design and logistics optimization . She has served on organizing committees for international conferences and acts as reviewer for major journals. Teaching responsibilities include coordinating curricular units in Operational Research and supervising over 25 Master's theses in optimization, scheduling, and routing applications across sectors like urban waste, energy distribution, and public safety.

• Combinatorial Optimization
• Logistics Network Design
• Arc Routing Problems
• +۴ مورد دیگر

Maria João Cortinhal is an Associate Professor at ISCTE-IUL, serving as Director of ISCTE Business School since 2023 and holding various academic management positions including coordinator of the third year of the Bachelor's in Management, elected member of the Scientific Council and General Council, and department director. She is affiliated with the Department of Quantitative Methods for Management and Economics at ISCTE Business School. Director of School of Management (2023-2027) President of Scientific Committee (2023-2027) Director of Institutional Course at School of Management (2023-2024) Former Director of School of Management (2019-2023) Former President of Scientific Committee (2019-2023) Her educational background includes a PhD in Statistics and Operational Research from Faculty of Sciences - UL (2005), Master's degree in the same field (1994), and Bachelor's degree (1990). Dr. Cortinhal's research focuses on combinatorial optimization problems, with special emphasis on logistics network design, sectorization and route design, using metaheuristics. Her work spans supply chain management, vehicle routing, waste collection optimization, and energy systems. She has participated as a researcher in FCT-funded projects, including the definition of logistics models for forest biomass supply and expansion of the national network of Justices of the Peace. Her research has evolved from fundamental facility location problems to applied logistics and sustainability projects. Her scientific production shows a strong focus on operational research with applications in logistics and sustainability. The publications demonstrate progression from theoretical optimization problems to practical applications in waste management, supply chain design, and renewable energy systems. Recent work increasingly addresses sustainability challenges in energy systems while maintaining strong methodological foundations in combinatorial optimization. Dr. Cortinhal has supervised 2 doctoral theses to completion, 2 master's dissertations in progress, 6 completed master's dissertations, and 4 master's final projects. Her students' work reflects her research interests, with topics spanning energy sustainability, logistics optimization, community detection in networks, and business applications of operations research. She has contributed to numerous national projects including development of methodologies for vehicle routing for collecting valuables (2016-2019) and planning household waste collection for Seixal municipality (2012-2015). Her external engagement includes media appearances where she discusses management education, economic development through education, and the role of business schools in preparing future executives.

• Systems Engineering
• Optimization
• Operational Research
• +۶ مورد دیگر

Cláudio Manuel Martins Alves is a Full Professor at the Department of Production and Systems Engineering of the School of Engineering, University of Minho, a position he has held since 2018. He began his academic career at the same institution in 1998 and has been developing his scientific activity primarily in the areas of Systems Engineering, Optimization, and Operational Research. His research focuses on modeling techniques and problem-solving using Integer Programming and Combinatorial Optimization, with applications primarily in industrial processes. His educational background includes a Licenciatura's degree in Systems and Informatics (1998), a Master's degree in Industrial Engineering (2000), and a PhD in Production Engineering (2005). In 2013, he successfully defended his Habilitation in Industrial and Systems Engineering. As a Senior Researcher with Dr. habil, he is a member of the SEOR R&D Group at the Centro ALGORITMI. Professor Alves has made significant contributions to the fields of Optimization and Operational Research, with 67 publications, 855 citations, and an h-index of 16. His research spans various aspects of logistics and supply chain optimization, including vehicle routing problems, bin packing, inventory management, and integrated planning and scheduling. He has developed novel approaches such as arc flow formulations based on dynamic programming and variable neighborhood search algorithms for complex optimization problems. He has supervised numerous PhD and master's students, including doctoral research fellow Mário Manuel Silva Leite. Professor Alves has participated in various scientific and technological development projects, many conducted in direct connection with industry, resulting in effective knowledge transfer to companies. He has coordinated several postdoctoral projects supported by FCT grants and maintains collaborations with researchers from the University of Minho and other universities worldwide. His teaching activities cover undergraduate, integrated master's, master's, and doctoral programs at the University of Minho, focusing on Systems Engineering, Optimization, and Operational Research. He began his teaching career in the 1997/98 academic year and entered the academic career in November 1999 as a teaching assistant in the Systems Engineering and Industrial Processes Group. Current Position: Full Professor at Department of Production and Systems Engineering, School of Engineering, University of Minho Research Group: SEOR R&D Group at Centro ALGORITMI Academic Background: Licenciatura in Systems and Informatics (1998), Master's in Industrial Engineering (2000), PhD in Production Engineering (2005), Habilitation in Industrial and Systems Engineering (2013) Research Metrics: 67 publications, 855 citations, h-index 16, Q1/Q2 publications: 38 Professor Alves has been instrumental in advancing optimization techniques for industrial applications, particularly in the context of Industry 4.0. His work bridges theoretical developments in combinatorial optimization with practical applications in logistics, manufacturing, and supply chain management. He has contributed significantly to the development of column generation approaches, arc flow formulations, and variable neighborhood search algorithms for complex integrated problems.

João Janelaمشاهده پروفایل

دانشیار

• Operations Research
• Computational Finance
• Fluid Dynamics
• +۳ مورد دیگر

João Janela is an Associate Professor at the Instituto Superior de Economia e Gestão (ISEG) within the Universidade de Lisboa. He holds a PhD in Mathematics from Instituto Superior Técnico (2008), following earlier degrees in Mathematics. His academic roles include coordinating the Mestrado em Matemática Financeira and serving on the CEMAPRE executive board. His research spans operations research, computational finance, and fluid dynamics, with notable contributions to waste collection optimization and blood coagulation modeling. He has supervised over 10 master’s theses, focusing on topics like numerical methods in finance and vehicle routing problems. Janela actively contributes to academic leadership through roles in curriculum development and institutional governance. Education: PhD in Mathematics, Instituto Superior Técnico - Universidade de Lisboa (2008) Master of Science in Mathematics, Instituto Superior Técnico - Universidade de Lisboa (2002) Bachelor of Science in Mathematics, Instituto Superior Técnico - Universidade de Lisboa (1997) Research Interests: Janela’s work integrates applied mathematics with real-world challenges. His research in operations research addresses logistics and waste management optimization, while his computational finance studies explore option pricing under stochastic models. In fluid dynamics, he develops numerical methods for blood flow and non-Newtonian fluid behavior. His recent projects emphasize interdisciplinary applications, such as synthetic cell-based models for biomedical systems. Advising & Grants: Supervised 9 master’s students since 2012, with topics ranging from exotic derivatives trading to decentralized exchange analysis. His work benefits from collaborations in CEMAPRE and ECCOMAS, though specific grant details are not provided in the text. Labs/Teams: Active member of CEMAPRE (Center for Mathematics and Applications) and involved in organizing conferences like ICCF2017 and MPF 2005.

• Integer Programming
• Operations Research
• Cutting and Packing
• +۵ مورد دیگر

José Manuel Vasconcelos Valério Carvalho is a Full Professor at the School of Engineering, University of Minho, and Senior Researcher at Algoritmi Research Center's SEOR R&D Group. His academic career spans decades with significant contributions to combinatorial optimization and operations research. His educational background includes: PhD in Production Engineering (Operational Research major) from University of Minho MSc in Industrial Engineering and Operations Research from Virginia Polytechnic Institute (Fulbright scholar) Research focuses on large-scale integer programming applications in cutting/packing, network design, and operations planning. He develops exact and heuristic algorithms for complex optimization problems, frequently integrating domains like bin packing with vehicle routing using arc-flow formulations and column generation. Recent publications (2016-2025) reveal strong trends toward integrated logistics solutions, emphasizing temporal aspects, multi-trip scenarios, and combined routing/packing challenges. His methodologies consistently yield robust formulations for real-world supply chain applications. He has supervised 7 postdoctoral and 12 PhD students, many achieving award-winning work. Research leadership includes coordination of FCT-funded national projects and European project workpackages. As core member of Algoritmi's SEOR Group and former coordinator of the SEOOR Research Line (consistently rated 'Excellent' by international panels), he contributes to Portugal's leading operations research team.