جست‌وجوی استاد و پژوهشگر

José Ribeiro Baptistaمشاهده پروفایل

استادیار

• Power Quality
• Electrical Machines
• Renewables
• +۳ مورد دیگر

José Ribeiro Baptista is an Assistant Professor in the Department of Electrical Engineering at the University of Trás-os-Montes e Alto Douro (UTAD) and a Senior Researcher at INESCTEC's Power and Energy Systems Centre since October 1, 2012. His academic journey began with a BSc in Electrical Engineering from UTAD in 1991, followed by an MSc in Power Electronics in 1997, and culminated with a PhD in Electrical Engineering in 2007, focusing on harmonic distortion analysis in low-voltage distribution networks. His educational background includes: BSc in Electrical Engineering, University of Trás-os-Montes e Alto Douro (1991) MSc in Power Electronics, University of Trás-os-Montes e Alto Douro (1997) PhD in Electrical Engineering, University of Trás-os-Montes e Alto Douro (2007) Dr. Baptista's research spans multiple critical areas in modern power systems. His primary interests include power quality, electrical machines, and renewable energy integration. His work demonstrates a strong interdisciplinary approach, connecting electrical engineering fundamentals with sustainable energy solutions and smart grid technologies. He has made significant contributions to power electronics, particularly in silicon carbide converter design, and has explored innovative applications in building energy management systems and water-energy nexus solutions. His recent publications reveal a clear trend toward sustainable energy solutions, with work covering silicon carbide converter technologies, rainwater harvesting systems integrated with renewable energy, advanced forecasting techniques for energy markets, wind farm optimization, and contextual energy management systems for buildings. His research bridges theoretical electrical engineering concepts with practical applications that address contemporary energy challenges. Scientific recognition includes: Senior Researcher at INESCTEC since 2012 Active publication record in high-impact journals including Energies, Sustainability, and Electronics As an academic advisor, Dr. Baptista has supervised multiple graduate students through their thesis work at UTAD, focusing on renewable energy communities, building energy management contexts, distribution network optimization with virtual power plants, and the impact of electric vehicle charging stations on power quality. His research group appears to be actively engaged in both theoretical and applied aspects of modern power systems, with particular emphasis on sustainability and efficiency. His laboratory work centers around the Power and Energy Systems Centre at INESCTEC, where he contributes to advancing research in power quality, electrical machines, and renewable energy integration. Current projects suggest ongoing exploration of smart grid technologies, energy market forecasting, and innovative approaches to energy-water system integration.

Filipe Alvesمشاهده پروفایل

پژوهشگر

• Industrial Engineering
• Systems Engineering
• Scheduling Systems
• +۵ مورد دیگر

Filipe Alves serves as a Researcher at Polytechnic Institute of Bragança and pursues a PhD in Industrial and Systems Engineering at University of Minho, with continuous research activity since 2017. His work bridges theoretical optimization frameworks and practical industrial applications through DTx - Digital Transformation CoLAB, a national R&D consortium focused on digital innovation. His academic foundation includes: Bachelor's in Biomedical Engineering (Polytechnic Institute of Bragança) Master's in Biomedical Technology (Polytechnic Institute of Bragança) Specializing in scheduling systems and metaheuristic algorithms , his research creates decision support tools for industrial automation and healthcare logistics . Key contributions address nurse scheduling, home healthcare routing, and virtual power plant optimization using MILP solvers and multi-agent architectures. His methodology integrates mathematical modeling with real-world constraints like time windows, resource capacities, and dynamic environments. Publication analysis reveals three dominant trajectories: (1) Healthcare logistics optimization (40% of recent work), featuring nurse/home care scheduling solutions; (2) Energy systems management (30%), particularly virtual power plant coordination; (3) Public health applications (20%), including pandemic impact studies and waste management. This evolution demonstrates increasing interdisciplinary reach while maintaining core optimization expertise. As an active DTx CoLAB member, he collaborates on digital transformation projects connecting academic research with industrial implementation. His current PhD research extends these efforts into industrial systems engineering frameworks for complex scheduling challenges.

Abi Adamsمشاهده پروفایل

پژوهشگر ارشد

• Labor Economics
• Public Policy
• Development Economics
• +۴ مورد دیگر

Dr. Abi Adams is a Research Fellow at the Institute for Fiscal Studies (IFS), specializing in applied microeconomics with expertise in labor markets, household decision-making, and development economics. Her rigorous empirical work combines revealed preference methodologies with experimental approaches to analyze critical policy issues including marriage markets, education incentives, and poverty measurement. Her research spans Labor Economics , Behavioral Microeconomics , and Public Policy Analysis , with notable contributions to understanding: Marriage market dynamics and educational attainment in developing contexts Time inconsistency in household consumption decisions Consumer consideration sets and demand responsiveness Intergenerational transfer motivations Poverty measurement methodologies accounting for differential inflation Dr. Adams' publication record demonstrates consistent methodological innovation, particularly in adapting revealed preference frameworks to complex decision environments involving subjective beliefs and heterogeneous preferences. Her work frequently employs discrete choice experiments, hypothetical vignettes, and nonparametric estimation techniques to address identification challenges in field settings. She received the ESRC Outstanding Impact in Public Policy award in 2018 for research that directly contributed to the UK Supreme Court's unanimous ruling against employment tribunal fees. This landmark policy impact highlights the real-world significance of her empirical work on labor market institutions. Her research has been published in top economics journals including The Quarterly Journal of Economics , with additional working papers through IFS and collaborations on poverty measurement affecting official statistical methodologies.

Ana Camanhoمشاهده پروفایل

دانشیار

• Operational Research
• Data Envelopment Analysis
• Efficiency Modeling
• +۶ مورد دیگر

Ana Camanho is an Associate Professor at the Faculty of Engineering of the University of Porto (FEUP) and a Research Coordinator at INESC TEC since July 2013. She holds a Degree in Industrial Engineering and Management (1995) and a PhD in Industrial and Business Studies (1999) from Warwick Business School, UK. Her leadership roles include directing the Integrated Master in Industrial Engineering and Management and serving on FEUP's Pedagogical Council. Operational Research Data Envelopment Analysis Economic Efficiency Modeling Health System Performance Banking Regulation Sustainable Infrastructure Her research focuses on efficiency and productivity change models applied to diverse sectors such as banking, education, health, transport, and sustainability. Recent publications highlight methodological innovations in Data Envelopment Analysis , Mixed-Integer Linear Programming , and Stochastic Frontier Analysis . Her work spans empirical applications in global health systems, Italian school management, Eurozone banking, and water utility optimization. Notable projects include developing optimization models for asset management in water systems and analyzing the Single Supervisory Mechanism 's impact on Eurozone banks. She has supervised thesis work on topics ranging from customer experience in B2B machinery to equity in European education systems . Her 2024 literature review on economic efficiency assessments outlines trends in cost efficiency , revenue modeling , and panel data applications.

Elsa Silvaمشاهده پروفایل

استادیار

• Operations Research
• Cutting and Packing Problems
• Combinatorial Optimization
• +۲ مورد دیگر

Elsa Silva serves as Assistant Professor in the Department of Production and Systems at the School of Engineering, University of Minho, and holds a dual appointment as Senior Researcher and coordinator of the SEOR (Systems Engineering and Operational Research) group at the ALGORITMI research centre. Her academic foundation includes a PhD in Industrial and Systems Engineering (2012) and a degree in Applied Mathematics, both from the University of Minho. Her educational credentials comprise: PhD in Industrial and Systems Engineering, University of Minho (2012) Degree in Applied Mathematics, University of Minho Dr. Silva's research centers on Operations Research with pioneering contributions to Cutting and Packing Problems , where she develops hybrid algorithms combining mathematical programming with heuristics for industrial applications. Her work spans combinatorial optimization in logistics (prisoner transportation, fishing fleet routing), retail operations (shelf-space management, grocery backroom layout), and manufacturing (textile cutting, plasma processing), often addressing uncertainty and real-world constraints. She emphasizes bridging theoretical advances with practical implementations across sectors. Her recent publications (2021-2025) reveal evolving trends toward integrating uncertainty modeling with cutting stock problems, advancing 3D guillotine cutting frameworks, and solving complex logistics challenges like cross-docking and container loading. A consistent theme is the development of flexible matheuristics that balance computational efficiency with solution quality, as demonstrated in her Floating-Cuts model and adaptive sequence-based approaches. These works appear in top journals including European Journal of Operational Research and Omega , reflecting her impact on both theoretical and applied operations research. Her scientific recognition includes: Finalist for the 2015 Daniel H. Wagner Prize (INFORMS) Runner-up for the 2019 ITOR Best Paper Prize Diploma of Recognition of Pedagogical Merit (2021) Dr. Silva has supervised one post-doctoral researcher, two PhD theses, ten MSc dissertations (as supervisor/co-supervisor), and mentored three PhD students. Her academic service encompasses: Organizing two international conferences and three EURO conference streams Serving on examination boards for 5 PhDs (2 abroad) and 51 MSc theses (2 abroad) Providing 50+ peer reviews for international journals Scientific committee membership for EURO/ROADEF 2018 challenge Editorial board service for Portuguese Association for Operational Research bulletin (2022-23) As SEOR group coordinator at ALGORITMI, she leads a dynamic team developing optimization solutions for industrial partners in manufacturing, logistics, and retail. The group focuses on translating cutting-edge research into practical tools for waste reduction, logistics efficiency, and operational decision-making, maintaining strong industry-academia collaboration channels.

• Systems Engineering
• Optimization
• Operational Research
• +۳ مورد دیگر

Ana Maria Alves Coutinho Rocha is an Associate Professor at the Department of Production and Systems (DPS), School of Engineering, University of Minho. She is also a Senior Researcher with PhD at Centro ALGORITMI and serves as the coordinator of the Systems Engineering and Operational Research (SEOR) research group. Her academic career spans over two decades at the University of Minho, where she has made significant contributions to both teaching and research. Her educational background includes: PhD in Production and Systems Engineering from the University of Minho (2005) Master's degree in Computer Engineering from the University of Minho (1997) Degree in Systems and Computer Engineering from the University of Minho (1993) Ana Maria's research primarily focuses on Systems Engineering, Optimization, and Operational Research. Her specific interests include Global optimization, Nonlinear optimization, and mixed-integer programming. She has made substantial contributions to developing optimization algorithms and applying them to various real-world problems including healthcare optimization, firefighting resource allocation, and additive manufacturing. Her work bridges theoretical advances in optimization with practical applications across multiple domains. Her recent publications demonstrate a strong trend toward applying optimization techniques to healthcare systems, emergency response, and educational technologies. She has published extensively on multi-objective clustering algorithms, firefighting resource optimization, and home healthcare management. Her work increasingly integrates machine learning with traditional optimization methods, reflecting the evolving landscape of computational intelligence. Her scientific achievements have been recognized with prestigious awards: Honorable Mention for the Isabel Themido Prize (2015) Isabel Themido Prize (2017) Ana Maria has supervised or co-supervised 4 doctoral theses and currently has 2 doctoral students in progress. She is also supervising 1 post-doctoral student and has guided numerous master's students in data analysis and optimization. She has participated in 6 research projects, serving as co-principal investigator for one of them, and has supervised several research grants. Her collaborative network spans over 200 researchers worldwide. She leads the Systems Engineering and Operational Research (SEOR) research group at the ALGORITMI Research Centre, which focuses on developing advanced optimization methodologies and applying them to industrial and societal challenges. Her team works on both theoretical advances in global optimization algorithms and practical implementations in areas like healthcare, emergency management, and manufacturing.

• Discrete-Event Simulation
• Supply Chain Management
• Logistics Optimization
• +۵ مورد دیگر

Guilherme Augusto Borges Pereira serves as an Associate Professor at the School of Engineering, University of Minho, and holds the position of Senior Researcher at Centro ALGORITMI. He is actively involved with the IEM R&D Group and SLOTS R&D Lab, contributing to research in industrial engineering and simulation. With a PhD credential and substantial academic output (93 publications, 645 citations, h-index 13), his work appears prominently in Q1/Q2 journals across operations research and industrial engineering domains. His research program centers on discrete-event simulation methodologies applied to complex industrial systems, with particular expertise in supply chain management, logistics optimization, and big data integration. Key application areas include warehouse automation systems, production line control mechanisms, automotive supply chains, cement industry logistics, and healthcare transportation services. His methodological contributions frequently combine simulation with optimization techniques such as genetic algorithms and integer programming to solve real-world operational challenges. Analysis of his publication trajectory reveals a strategic evolution toward integrating big data analytics with traditional simulation frameworks, particularly for supply chain risk management and data validation purposes. His work demonstrates remarkable cross-sector applicability, spanning automotive manufacturing, cement production, cork industry processes, and urban traffic systems. Recent publications emphasize computational experiments with simulation tools in big data contexts, semantic validation techniques, and comparative studies of simulation software platforms. As an academic leader, Pereira has chaired significant conferences including the European Modeling and Simulation Symposium (EMSS) 2019. His research maintains strong industry relevance through case studies addressing material handling systems, warehouse design optimization, production flow control, and non-emergency patient transportation logistics. His technical proficiency extends across multiple simulation environments with particular emphasis on the Simio platform for industrial applications.

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.

Olga BATTAIAمشاهده پروفایل

استاد

• Operations Management
• Supply Chain Management
• Production Systems Optimization
• +۷ مورد دیگر

Olga Battaïa is Senior Professor in the Department of Operations Management and Information Systems at KEDGE Business School, where she also serves as Associate Dean for Research. Her academic journey includes a PhD in Industrial Engineering from École nationale supérieure des mines de Saint-Étienne (2007) and accreditation to supervise research (HDR, 2014). Education PhD in Industrial Engineering, École nationale supérieure des mines de Saint-Étienne, 2007 HDR (Accreditation to Supervise Research), 2014 Research Focus Professor Battaïa’s research lies at the intersection of operations management , supply-chain optimization , and decision-science methods . She develops mathematical models and algorithms that improve the design and performance of production systems, reconfigurable manufacturing lines, closed-loop supply chains, and collaborative human-robot systems. Her work embraces sustainability challenges, ergonomic considerations, and uncertainty management. Recent investigations include: Dynamic vaccine-allocation models responding to pandemic realities Ergonomic integration in human-robot collaborative workstations Electric-bus charging-network design for sustainable urban mobility Robust resource-leveling techniques under project uncertainty Publication Impact Across 200+ refereed publications, her 2023–2025 output alone spans International Journal of Production Economics , IJPR , Computers & Industrial Engineering , Transportation Research Part E , and flagship conferences such as CIRP ANNALS. Thematic trends reveal deepening emphasis on (i) sustainable and resilient supply-chain design, (ii) advanced exact and heuristic optimization for reconfigurable manufacturing, and (iii) human-centric production systems. Editorial & Professional Service Associate Editor, Journal of Manufacturing Systems (Elsevier) Associate Editor, IISE Transactions Associate Editor, Omega—The International Journal of Management Science Associate Member, International Academy for Production Engineering (CIRP) Member, IFAC Technical Committee on “Manufacturing Modelling for Management and Control” Doctoral Advising & Research Leadership Professor Battaïa has co-supervised 11 PhD thestrong>ses to completion and delivered more than 15 invited lectures worldwide. She coordinates multi-partner research projects with industry and academic institutions, securing sustained funding for large-scale optimization and sustainability initiatives. Laboratories & Teams She leads research activities within KEDGE’s Operations, Supply Chain and Information Management group, collaborating closely with the Reconfigurable Manufacturing Systems and Sustainable Supply Chain Design research teams.

Ana Vianaمشاهده پروفایل

استاد

• Combinatorial Optimization
• Integer Programming
• Operations Research
• +۵ مورد دیگر

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.

Maria Helena Correiaمشاهده پروفایل

استادیار

• Production Planning
• Operations Research
• Paper Industry Optimization
• +۲ مورد دیگر

Maria Helena Correia is an Assistant Professor at Católica Porto Business School, Universidade Católica Portuguesa. Her research focuses on production planning, operations research, and optimization within the paper industry. She has contributed to both textbook development in quantitative methods and peer-reviewed articles addressing cutting-edge optimization challenges in manufacturing systems. Her work often bridges theoretical advancements with practical applications in paper mill operations and resource allocation. Key affiliations: Católica Porto Business School Research emphasizes production systems optimization and integer programming applications Her articles analyze complex problems like reel/sheet cutting in paper production, cylinder packing algorithms, and integrated assignment-sequencing processes. These contributions demonstrate expertise in both academic and industrial problem-solving. No formal awards are explicitly mentioned in the provided materials. She has participated in interdisciplinary activities such as the 2024 Projeto U©P2 Mental Health conference. Ongoing work maintains focus on operational efficiency in manufacturing environments.

• 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.

Justino Miguel Rodriguesمشاهده پروفایل

پژوهشگر

• Electrical Engineering
• Power Systems
• Smart Grids
• +۲ مورد دیگر

Justino Miguel Rodrigues is a Contracted Researcher at the Institute of Systems and Computer Engineering, Technology and Science (INESC TEC) and an invited PhD professor at the Faculty of Engineering, University of Porto. He serves as head of the SmartGrids and Electric Vehicles Laboratory (SGEVL) at INESC TEC and holds the position of Area Manager within the Power and Energy Systems Centre. Born in Penafiel, Portugal on September 9, 1985, Dr. Rodrigues earned his Master's degree in Electrical and Computer Engineering in 2010 and his Ph.D. in Sustainable Energy Systems in 2022, both at the Faculty of Engineering, University of Porto. His doctoral thesis, "Advanced Control Functionalities for Smart-Transformers Integrating Hybrid MicroGrids," received the prestigious REN prize in 2023 for the best doctoral thesis in the energy sector covering years 2022-2023. His research focuses on critical power system challenges including: Smart electric power grid technologies and control systems Integration of renewable distributed energy resources Electric vehicle infrastructure and grid integration Advanced control methodologies for power distribution networks Hybrid AC/DC distribution systems Dr. Rodrigues' publication record demonstrates expertise in smart transformer applications, grid stability mechanisms, and optimization techniques for modern power systems. His work consistently addresses practical challenges in integrating renewable energy while maintaining grid reliability, with particular emphasis on fault management, frequency regulation, and load restoration strategies. His notable scientific recognition includes: REN prize in 2023 for the best doctoral thesis in the energy sector (covering years 2022-2023) Dr. Rodrigues leads INESC TEC's participation in the H2020 European Project POCITYF and has contributed to significant research initiatives including the PV_Azores_DM project studying photovoltaic integration on São Miguel Island. As head of the SmartGrids and Electric Vehicles Laboratory, he directs research activities focused on advancing power system technologies for the energy transition.

• 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.

• Operations Research
• Combinatorial Optimization
• Network Design
• +۳ مورد دیگر

Maria João Lopes is an Assistant Professor at the Department of Quantitative Methods for Management and Economics at ISCTE - Instituto Universitário de Lisboa (ISCTE-IUL), part of the Instituto Bernardo de Sena (IBS). She holds a PhD (2003), Master's (1993), and Bachelor's (1990) in Statistics and Operations Research from the Faculty of Sciences, University of Lisbon. Academic Roles: Assistant Professor since 1990, specializing in Operations Research and Combinatorial Optimization. Research Focus: Network design (telecommunications and logistics), supply chain optimization, and combinatorial optimization problems. Her research emphasizes practical applications of optimization models in logistics, telecommunications, and healthcare systems. Key contributions include studies on multi-echelon supply chain networks, PON access networks, and vehicle routing problems with time-window constraints. Publications span journals like Applied Mathematical Modelling and European Journal of Operational Research , focusing on network design, supply chain optimization, and integer programming approaches. Recent work addresses healthcare logistics and long-term care routing challenges. She has presented at conferences such as OR 2018, INOC 2017, and the International Symposium on Combinatorial Optimization (ISCO 2022). No scientific awards are explicitly mentioned.