جستجوی استاد راهنمای دانشگاهی

• Telecommunications
• Wireless Sensor Networks
• Air Quality Monitoring
• +۷ مورد دیگر

Alexandre Manuel de Castro Passos de Almeida is an Assistant Professor in the Department of Information Science and Technology at the University Institute of Lisbon (ISCTE-IUL), where he also contributes to the School of Technology and Architecture. He is an Associate Researcher at the Institute of Telecommunications - IUL, actively involved in the Radio Systems Group, focusing on telecommunications and sensor-based environmental monitoring. PhD in Telecommunications, ISCTE-IUL, 2012 His research interests span telecommunications, wireless sensor networks, air quality monitoring, computer architecture, and robotics. He has led and contributed to innovative projects such as ExpoLis, which uses mobile sensor networks on public buses to map urban air pollution. His work bridges engineering and environmental science, aiming to influence urban policy and public health through real-time data systems. The most recent publications highlight a strong trend toward deploying low-cost, mobile sensor networks for environmental monitoring, particularly in urban settings. His work integrates computer systems, signal processing, and sustainable technology, with applications in smart cities, public health, and robotics. Topics like air quality mapping, energy harvesting, and noise-aware robot navigation reflect a multidisciplinary approach to solving real-world problems. He has advised seven Master’s students at ISCTE-IUL, guiding research in sensor networks, air pollution, database performance, robotic navigation, and personal photography assistants. While no specific scientific awards are listed, his contributions to funded research projects and consistent scholarly output indicate recognition in his field. He has held leadership roles in academic governance, including Vice President of the Pedagogical Council, underscoring his institutional engagement. His teaching portfolio includes core courses such as Fundamentals of Computer Architecture, Operating Systems, and Big Data Processing, delivered across multiple undergraduate and postgraduate programs. He is involved in research projects that combine academic innovation with practical urban applications, particularly through the deployment of scalable, open-source environmental sensing systems.

Diogo Poçasمشاهده پروفایل

استادیار

• Theoretical Computer Science
• Applied Computer Science
• Session Types
• +۵ مورد دیگر

Diogo Poças serves as Assistant Professor in the Department of Mathematics at Instituto Superior Técnico (University of Lisbon) and Researcher at Instituto de Telecomunicações since 2024. Previously, he held faculty positions at the University of Lisbon's Faculty of Sciences (2020-2024) and conducted postdoctoral research at TU München (2018-2020), demonstrating continuous academic engagement within Portugal's leading technical institution. His academic foundation includes: PhD in Mathematics from McMaster University (2014-2017) supervised by Prof. Jeffery Zucker MSc in Mathematics and Applications from Instituto Superior Técnico (2011-2013) supervised by Prof. José Félix Costa BSc in Applied Mathematics and Computation from Instituto Superior Técnico (2008-2011) Dr. Poças' research program integrates theoretical computer science with practical applications across three interconnected domains: Session Types (developing algorithms for type equivalence and communication safety in concurrent systems), Algorithmic Game Theory (analyzing equilibrium computation complexity in congestion games and auctions), and Analog Computation (modeling continuous-data computation through frameworks like the General Purpose Analog Computer). His work consistently bridges formal methods with real-world computational challenges. His publication record reveals a cohesive research trajectory where session type theory advances directly inform game-theoretic mechanism design. Recent papers demonstrate growing sophistication in handling higher-order polymorphic types while simultaneously addressing fundamental questions in auction revenue maximization and congestion game equilibria, indicating a unique interdisciplinary approach to computational theory. No scientific awards or fellowships are documented in available sources. Dr. Poças has mentored students through teaching assistant roles (2013-2015) and supervised his own MSc thesis on stochastic oracle complexity. Current research funding derives from his affiliations with LASIGE (2020-2024) and Instituto de Telecomunicações, though specific grant mechanisms remain unspecified. He contributes to Portugal's computational research ecosystem through Instituto de Telecomuncações, building on prior work with LASIGE where he developed theoretical frameworks now reflected in his recent publications on session types and game equilibria.

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.

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.

Teresa Griloمشاهده پروفایل

استادیار

• Supply Chain Management
• Health Services Optimization
• Mathematical Programming
• +۳ مورد دیگر

Teresa Grilo is an Assistant Professor at the Department of Marketing, Operations and General Management, ISCTE Business School, and a General Researcher at University of Lisbon Business School (UNIDE-IUL). She holds a PhD in Engineering and Management and a Master in Biomedical Engineering from Instituto Superior Técnico, University of Lisbon. PhD in Engineering and Management, IST, University of Lisbon Master in Biomedical Engineering, IST, University of Lisbon Her research focuses on developing mathematical models and optimization tools for supply chain management, particularly in healthcare systems. She specializes in location-allocation models, stochastic programming, and multi-objective optimization for equitable healthcare delivery and resource planning. Key trends in her publications include: supply chain sustainability, long-term care network design, healthcare workforce training optimization, and integration of lean methodologies with Six Sigma. Her work spans mathematical programming, public health policy, and transportation electrification planning.

Carlos José Lúcio Martinsمشاهده پروفایل

استاد

• Operations Research
• Supply Chain Management
• Multiobjective Optimization
• +۳ مورد دیگر

Carlos José Lúcio Martins is a faculty member at the School of Economics and Management, University of Lisbon (ISEG). He has significant contributions to Operations Research and Logistics, focusing on optimization problems in supply chains and transportation. Research: Specializes in multiobjective optimization, vehicle routing, and sustainable supply chain network design. Teaching: Coordinates the Operations Research course in undergraduate and master's programs in Economics and Management. Professional Experience: Served as Director of Systems and Operations at ISEG from 2019 to 2022. His publications address complex real-world problems like food bank network optimization and multi-trip vehicle routing with temporal constraints.

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.

• 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.

• Optimization Algorithms
• Machine Learning
• Fault Diagnosis
• +۲ مورد دیگر

Susana Vieira is an Associate Professor in Mechanical Engineering at Instituto Superior Técnico (Universidade de Lisboa). She specializes in mechatronic systems design and optimization techniques. Her research applies machine learning to industrial challenges, including scheduling, fault diagnosis, and sustainable resource management. Recent work explores reinforcement learning for energy networks and multi-objective optimization. Publications focus on AI-driven solutions for logistics, renewable energy, and healthcare systems, emphasizing algorithmic efficiency.

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.

Joana Isabel de Paulo Duarteمشاهده پروفایل

استادیار مهمان

• Mathematics Education
• Educational Technology
• Programming and Robotics in Education
• +۳ مورد دیگر

Joana Isabel de Paulo Duarte is a Visiting Assistant Professor (Assistente convidado) at the Polytechnic Institute of Viseu – School of Education since February 2024 and a certified trainer (CCPFC/RFO-42138/23) recognised by the Scientific-Pedagogical Council for Continuing Education. She concurrently serves as a mathematics teacher under the Portuguese Ministry of Education. Education 2007 – Licenciatura (BSc) in Mathematics, Catholic University of Portugal – Centro Regional das Beiras (thesis: Vehicle Routing Problem – Linear Programming ) 2015-2016 – Post-Graduate Certificate in Financial and Tax Management of Enterprises, University of Coimbra – Faculty of Economics 2024-present – MSc in Teaching Mathematics (3rd Cycle Basic & Secondary Education), University of Coimbra (in progress) Research & Professional Interests Duarte’s work centres on Mathematics Education enriched with Educational Technology , Programming and Robotics , and Computational Thinking . She integrates digital tools such as Scratch, Python, TI-Nspire, Micro:Bit, GeoGebra and Tinkercad CodeBlocks into classroom practice, and explores Augmented Reality and AI-driven educational resources to foster active learning scenarios. Her continuous professional development portfolio includes more than 40 certified courses and MOOCs covering gamification, digital laboratories, coding, robotics and inclusive education, evidencing a sustained commitment to innovative pedagogies. Scientific Awards 2023: 3rd National Place – International Statistical Poster Competition (2022-2023), awarded by the Portuguese National Institute of Statistics (INE) Projects & Grants Duarte has coordinated and delivered teacher-training actions financed by the Portuguese Ministry of Education, APM (Mathematics Teachers Association), eduFor Training Centre, and other bodies. She has been a key trainer in two ERASMUS+ funded initiatives: Digischools (2023) CodeInnova (2022) These projects focus on digital competences, programming and robotics across European schools. Teaching & Training Roles Since 2023 she is an accredited trainer delivering courses on: Excel for mathematics classrooms Python programming for applied mathematics TI-Nspire technology for mathematical modelling Scratch for computational thinking Micro:bit gamified mathematics These activities are aimed at in-service mathematics and science teachers throughout Portugal.

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.

Amir PIRAYESHمشاهده پروفایل

دانشیار

• Supply Chain Management
• Process Modeling
• Simulation
• +۱۲ مورد دیگر

Dr. Amir Pirayesh is an Associate Professor in Operations, Supply Chain and Information Management at KEDGE Business School, France. His research focuses on supply chain optimization, process modeling, and sustainability in manufacturing and logistics systems. He holds a PhD in Industrial and Mechanical Engineering from École nationale supérieure des arts et métiers (ENSAM) and previously worked at ENSAM as an ATER (Associate Professor of Teaching and Research). He has contributed extensively to European research projects under the Factories of Future and Horizon 2020 programs. PhD in Industrial and Mechanical Engineering (ENSAM, 2014) Current affiliation: KEDGE Business School Prior affiliation: InterOP-VLab His research spans four key domains: supply chain optimization (vaccine distribution, waste recycling), smart manufacturing (collaborative robots, assembly line balancing), enterprise modeling (interoperability, conceptual frameworks), and sustainability analytics (circular economy, environmental/social integration). Recent work applies reinforcement learning to scheduling and semantic frameworks for IoT interoperability. Article trends show a strong focus on pandemic response logistics (2021-2025), followed by collaborative robotics (2024), smart grid energy management (2022-2023), and circular economy applications (2023-2025). Co-authors include M. Mohammadi, M. Karimi Mamaghan, and O. Battaia, indicating collaborations across French, Iranian, and Portuguese institutions. As a former InterOP-VLab researcher and ENSAM ATER, Dr. Pirayesh has extensive experience in model-driven enterprise management, with applications in healthcare logistics, sustainable manufacturing, and digital dentistry. He teaches courses on supply chain modeling, simulation, and information systems optimization.

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.

• 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.