جست‌وجوی استاد و پژوهشگر

Américo Vicente Teixeira Leiteمشاهده پروفایل

استادیار

• Electronics
• Power Electronics and Converters
• Electrical Drives
• +۶ مورد دیگر

Américo Vicente Teixeira Leite is an Assistant Professor at the School of Technology and Management (ESTiG) of the Polytechnic Institute of Bragança (IPB), where he has been since 1994. His expertise spans Electronics, Power Electronics and Converters, Electrical Drives, Photovoltaic Systems, and Simulation. He has held leadership roles including Vice-Dean of ESTiG-IPB, President of the Scientific Council, and Coordinator of the Electrical Engineering Department. Leite has authored/co-authored over 50 publications and holds a National Invention Patent for a low-cost IV tracer for photovoltaic modules. He has participated in 8 international and 5 national research projects, focusing on renewable energy systems, microgrids, and smart grid technologies. His research interests include energy efficiency, sustainable infrastructure, and IoT-based environmental monitoring. Notable projects include the implementation of smart microgrids in cultural heritage sites (e.g., the Silk House museum) and the development of low-power photovoltaic water pumping systems. Leite’s work often bridges theoretical advancements with practical applications, emphasizing real-world deployment in renewable energy systems. His publications reflect a strong focus on grid integration of small-scale hydropower, MPPT algorithms for solar systems, and inverter control strategies. Awards include a National Invention Patent for his IV tracer device, which aids in photovoltaic module diagnostics. Leite has also contributed to educational initiatives, such as project-based learning in engineering, and has supervised three academic projects.

Pedro Alexandre Simões dos Santosمشاهده پروفایل

دانشیار

• Machine Learning
• Social Artificial Intelligence
• Game Design
• +۳ مورد دیگر

Pedro Alexandre Simões dos Santos is an Associate Professor at Instituto Superior Técnico, with dual appointments in the Mathematics Department and Computer Science and Engineering Department. His work spans Machine Learning, Social Artificial Intelligence, and Game Design, focusing on convergence analysis of ML algorithms, Social AI, and AI for Games. He actively contributes to game design, both digital and analogic, with a special interest in historical themes. Affiliations: Mathematics Department, Instituto Superior Técnico Computer Science and Engineering Department, Instituto Superior Técnico INESC-ID Research Unit GAIPS - Group of AI for People and Society His research integrates theoretical and applied aspects, including reinforcement learning in non-stationary environments, neural network optimization, and socially intelligent agent authoring tools. He explores AI applications in games, mental health support systems, and legal domains. His recent publications highlight trends in NFT-based game ecosystems, dialogue systems for mental health, and multi-agent reinforcement learning frameworks. Pedro teaches subjects such as Mathematics for Machine Learning and the 1st Cycle Integrative Project in Applied Mathematics and Computing, bridging mathematical foundations with computational applications.

Marko Bekoمشاهده پروفایل

پژوهشگر

• Computer Science
• Wireless Sensor Networks
• Localization
• +۳ مورد دیگر

Marko Beko is a researcher affiliated with Lusofona University in Lisbon, Portugal. He is actively involved in projects related to wireless sensor networks, localization algorithms, and machine learning applications in telecommunications. His work spans areas such as GNSS-denied navigation, federated learning, and IoT network optimization. Research Interests Localization in wireless networks Machine learning for IoT UAV navigation systems Signal processing and network optimization Stochastic geometry in massive IoT Energy-efficient communication protocols Recent publications focus on deep learning methods for unmanned aerial vehicle (UAV) navigation, linear precoding for MIMO systems, and federated learning in rural environmental monitoring. His work demonstrates strong interdisciplinary connections between computer science, telecommunications, and aerospace engineering.

• Robotics
• Control Systems
• Nuclear Fusion Engineering
• +۵ مورد دیگر

Alberto Vale is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Lisbon's Instituto Superior Técnico. His research focuses on robotics, control systems, nuclear fusion engineering, and autonomous systems. He is affiliated with the Institute of Plasmas and Nuclear Fusion and teaches courses such as Control of Cyber-Physical Systems and Autonomous Systems . His work emphasizes remote maintenance systems for nuclear facilities, radiation detection technologies, and mobile robotics applications. Research interests include: Advanced control strategies for cyber-physical systems Development of autonomous systems for nuclear fusion facilities Radiation detection and localization using drones and mobile robots Path planning and navigation in constrained environments Recent publications highlight innovations in fusion diagnostics (e.g., reflectometry systems for DEMO), LIDAR-based SLAM techniques, and optimization of autonomous fleets for solar farm inspection. He has received the EDA Research, Technology, and Innovation Papers Award 2023 and the Best Presentation Award .

• Public Policy
• Public Administration
• Governance
• +۴ مورد دیگر

David Ferraz is an Associate Professor at the Department of Political Science and Public Policy at Iscte - University Institute of Lisbon, and an Integrated Researcher at CIES-Iscte. He holds a PhD in Public Policy (2018) and extensive professional experience in public administration, including roles at the National Institute of Administration and IHRU. His research focuses on public policy design, digital transformation in education, governance models, and administrative reform. Ferraz has led projects like STUDIES-DIG, exploring transnational education modernization, and contributed to international collaborations in public administration theory. He teaches courses such as 'Public Policies: Theories and Models' and 'Management Science' across undergraduate and graduate programs. His work emphasizes the intersection of technology and governance, with publications on topics like digitalization challenges in Morocco and post-pandemic governance innovations. Ferraz has also engaged in policy debates regarding public sector leadership and civil service reforms, as seen in media contributions addressing executive recruitment challenges. Key research themes include administrative modernization, public sector performance metrics, and the role of data analytics in policy-making. He has collaborated with institutions like the ISCSP-UTL and HSE Moscow, and his work spans comparative studies between European, Asian, and African governance systems.

• Power Electronics
• RF Circuit Design
• Automated Design Methodologies
• +۷ مورد دیگر

Prof. Fábio Moreira de Passos is an Assistant Professor at Instituto Superior Técnico, University of Lisbon, and an Integrated Researcher at INESC-ID. He holds a Ph.D. from Universidad de Sevilla (2018) and has extensive industry experience with Analog Devices, Renesas, and SiliconGate. His research focuses on automated design methodologies for RF and mm-Wave circuits, energy harvesting for neural implants, and high-dynamic-range amplifiers for UAV systems. He has published over 50 papers, including 6 Q1 journal articles, and won prestigious awards like the EDAA Outstanding Dissertation Award (2019). Academic Affiliations: Instituto Superior Técnico (IST), INESC-ID Research Units: Nano-electronic Circuits and Systems (INESC-ID) Professional Memberships: IEEE Senior Member, IEEE Microwave Theory and Technology Society His research emphasizes industry-oriented applications such as automotive radar transceivers and battery-less neural implants. He has completed 14 chip tape-outs in technologies down to 16nm FinFET, with notable designs including a 77GHz mm-Wave receiver for ADAS systems. Current projects include generative AI for passive device design and automated synthesis frameworks for RF systems. Awards include Marie Curie Fellowship (2021-2023), IEEE Best Paper Awards (2018, 2022), and the 2016 EDA Competition. He co-leads the LAY(RF)^2 project and actively collaborates with global institutions like IMSE-CNM and University of Macao.

• Ambient Intelligence
• Decision Support Systems
• Intelligent Systems
• +۵ مورد دیگر

Ana Maria Neves de Almeida Baptista Figueiredo is a Coordinator Professor and academic leader at the Institute of Engineering of Polytechnic of Porto (ISEP/IPP). She currently serves as President of the ISEP Scientific Council (since 2018), Sub-Director of post-graduation programmes in Big Data & Decision Making and Industry 4.0, and holds numerous leadership roles in accreditation processes including A3ES, EUR-ACE, and ABET. She is a Senior Researcher at GECAD (Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development) and member of LASI (Associated Laboratory of Intelligent Systems). Education: PhD in Industrial and Systems Engineering (2003) from University of Minho MSc in Electronic and Computer Engineering - Specialization in Industrial Informatics (1996) from University of Porto BSc in Industrial Informatics (1993) from Polytechnic Institute of Oporto - Institute of Engineering BSc in Electronic Engineering (1990) from Polytechnic Institute of Oporto - Institute of Engineering Professor Figueiredo specializes in Ambient Intelligence, Decision Support Systems, and Intelligent Systems with applications spanning multiple domains. Her research combines artificial intelligence, big data analytics, and user-centered design to develop innovative solutions. She has particular expertise in creating personalized systems that adapt to user needs and contexts, with strong emphasis on practical applications in real-world settings. Her publication record reveals consistent research activity across three main application domains: tourism technology (personalized recommendation systems, smart travel planning), Industry 4.0 (intelligent manufacturing, production scheduling), and healthcare (respiratory monitoring, medical diagnostics). The research demonstrates a clear trajectory from foundational work in scheduling algorithms to increasingly sophisticated intelligent systems incorporating machine learning, sensor networks, and emotional computing. Awards and Recognition: 2017 Award of merit for scientific publication in TELEMATICA AND INFORMATICS journal 2017 Prémio SPAIC – AstraZeneca for FRASIS respiratory monitoring project 2013 PIPED honorable mention for Android e-learning platform 2012 1st place in POLIEMPREENDE entrepreneurship competition with NearTour project 1995 Best student award in Industrial Informatics Engineering Professor Figueiredo has supervised 3 completed PhD theses with 1 ongoing, and more than thirty MSc dissertations. She has participated as Principal or Co-Principal Investigator in 6 projects and as Researcher in more than 20 projects, securing funding from FCT and other agencies. Her work has been supported by significant grants including TheRoute, GROUPLANNER, Smartravel, ATT, InVALUE, INVALUE_PT, NIS, PIANISM, Cyberfactory, SECOIIA, and produtech_R3. She leads research activities within GECAD and LASI, collaborating with international teams from Spain, Canada, USA, Czech Republic, Turkey, and Italy. Her work bridges academic research with practical applications through partnerships with business organizations, public entities, and professional associations across multiple sectors.

• Energy Resource Management
• Smart Grids
• Electric Vehicles
• +۶ مورد دیگر

João André Pinto Soares is a Senior Researcher at the Knowledge Engineering and Decision Support Research Group (GECAD) at the Polytechnic Institute of Porto's School of Engineering. He earned his PhD in Electrical and Computer Engineering from UTAD in 2017 and has since secured significant funding through FCT projects, including CENERGETIC as Principal Investigator and BENEFICE as co-PI. Principal Investigator for CENERGETIC project on energy resource management Co-PI for BENEFICE project on smart building optimization Visiting Professor at Centrale Lille since 2019 Co-coordinator of SAtCOMM project for sustainable Atlantic energy communities Dr. Soares has established international collaborations with institutions including Sao Paulo State University (UNESP), Honda Research Institute Europe, and Centrale Lille. His research focuses on energy resource management in smart grids, with particular emphasis on local energy markets and electric vehicles. He has successfully managed a team of 10 researchers over the last 5 years and supervised numerous students at various academic levels. His publication record includes over 200 scientific articles, with 75 in international journals, garnering more than 5500 citations and an h-index of 40. His most recent work demonstrates strong trends in applying advanced optimization techniques, machine learning, and metaheuristics to energy resource management problems, particularly focusing on uncertainty modeling, electric vehicle integration, and local energy markets. Chair of IEEE ISATC Task Force on Computational Intelligence for the Energy Domain Secretary of the IEEE PES Intelligent Systems Subcommittee Launched 16 special issue editions as co-editor in JCR journals Reviewed over 400 scientific papers Dr. Soares has supervised 9 PhD students (7 ongoing), 23 MSc students, and 23 BSc students. His research has been supported by 28 national/international projects (10 as PI, 2 as Co-PI, and 17 as researcher), including Horizon/H2020 projects. He has also been instrumental in organizing over 30 scientific events and has delivered more than 30 invited talks at international conferences.

Anicia Jaeglerمشاهده پروفایل

استاد

• Sustainable Supply Chain Management
• Urban Logistics
• Agri-Food Supply Chains
• +۶ مورد دیگر

Anicia Jaegler is a Professor at Kedge Business School, specializing in sustainable supply chain management across urban logistics, agri-food, and humanitarian aid sectors. She holds an engineering degree, PhD, and HDR (Habilitation à Diriger des Recherches) from École des Mines de Saint-Étienne and Aix-Marseille University. Her leadership roles include Director of the Operations and Information Systems Management Department (2018-2021) and Associate Dean for Inclusivity and Sustainability (2021-2024). As a member of the Sustainable Development Center of Excellence, her work bridges academic research with practical applications in sustainability. Education: Engineering degree, École des Mines de Saint-Étienne PhD, École des Mines de Saint-Étienne HDR (Habilitation), CRETLOG, Aix-Marseille University Jaegler’s research focuses on sustainable supply chains, integrating Industry 4.0 technologies, blockchain, and social inclusion practices. Her recent articles analyze carbon footprint modeling, food waste reduction via apps, and waterway transport viability. The 2025 Delphi study with Srhir et al. highlights Industry 4.0’s role in SDGs, while 2024 works explore blockchain in luxury goods and social inclusion in upstream logistics. Her 2023 publications span agri-food network design, maritime inclusion, and urban river delivery models. Scientific Contributions: Co-authored systematic reviews on food waste, social inclusion, and blockchain integration Authored books on sustainable supply chain practices and decision support

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.

Ernesto Galvãoمشاهده پروفایل

پژوهشگر

• Quantum Computing
• Photonic Quantum Systems
• Quantum Information Processing
• +۳ مورد دیگر

Ernesto Galvão is a Research Scientist and Group Leader at the International Iberian Nanotechnology Laboratory (INL) , leading the Quantum and Linear-Optical Computation group. He is currently on leave from the Institute of Physics at Fluminense Federal University (Brazil), where he has been faculty since 2006. PhD in Physics (University of Oxford, 2002) MSc in Physics (Federal University of Rio de Janeiro, 1998) BSc in Physics (Pontifical Catholic University of Rio de Janeiro, 1996) Postdoctoral Fellow (Perimeter Institute for Theoretical Physics, Canada, 2002-2005) Galvão specializes in quantum computation , particularly photonic implementations of quantum computers . His work focuses on identifying resources for quantum advantage, characterizing quantum systems via coherence, nonlocality, and contextuality, and collaborating with experimental groups to validate quantum protocols. Recent publications emphasize quantum optical networks , photonic indistinguishability tests , and resource theories for quantum advantage . He has pioneered experimental validations of boson sampling and coherence witnesses in programmable photonic processors. Galvão leads the Quantum and Linear-Optical Computation group at INL, integrating theoretical and experimental approaches to advance quantum information processing via photonic systems.

Manuel Ricardoمشاهده پروفایل

استاد

• Mobile Communications Networks
• Quality of Service
• Radio Resource Management
• +۵ مورد دیگر

Manuel Alberto Pereira Ricardo is a Full Professor at the Faculty of Engineering of the University of Porto (FEUP), teaching courses on Mobile Communications and Computer Networks. He holds the position of TEC4 Coordinator at INESC TEC since January 1, 1996, where he has progressed through roles including Wireless Networks area coordinator, Center for Telecommunications and Multimedia director, and Board of Directors member. His research focuses on mobile communications networks, quality of service, radio resource management, network congestion control, and performance assessment. Licenciatura, M.Sc., and Ph.D. (2000) in Electrical and Computer Engineering (Telecommunications) from FEUP Manuel's recent research trends include 6G technology , O-RAN architecture , and autonomous UAV positioning . He has contributed to vision-aided Radio Access Networks (RANs), reinforcement learning (RL) frameworks for unmanned aerial vehicle (UAV) positioning, and open interface-based mobile RAN control systems. Publications emphasize millimeter-wave communication, network automation, and environment-aware connectivity solutions. He has supervised numerous graduate theses on topics spanning mobile network topology control , underwater radio communications , 5G private networks , vision-aided airborne communications , and O-RAN-based autonomous control . At INESC TEC, he leads telecommunications initiatives and has participated in over 30 research projects with 150+ publications.

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.

Anis Koubâaمشاهده پروفایل

استاد

• Real-Time Systems
• Quality of Service (QoS)
• Wireless Sensor Networks
• +۴ مورد دیگر

Anis Koubâa is a Professor at the Department of Electrical Engineering and Computers, Instituto Superior de Engenharia do Porto (ISEP), part of the Polytechnic Institute of Porto (IPP). He is a core member of the CISTER Research Centre, focusing on real-time systems, quality of service, wireless sensor networks, and cyber-physical systems. He holds a PhD in Computer Science from the National Polytechnic Institute (INPL, France), a Master’s from University of Nancy I, and a Telecommunications Engineering degree from Sup’Com Tunisia. His postdoctoral research at CISTER (2005–present) concentrated on real-time aspects of wireless sensor networks. Research interests span cooperative autonomous driving, drone networks, edge computing, and secure communication protocols. He has published extensively on topics like vehicular platooning, real-time QoS monitoring, and cloud-edge architectures for AI applications. His work integrates robotics (ROS frameworks), network protocols (IEEE 802.15.4e), and safety-critical systems. Over 100 papers in journals/conferences and co-authored books on ROS and cyber-physical systems demonstrate his leadership in these areas. Current projects include COPADRIVe (cooperative driving simulation), COPA-Drive (platooning validation), and secure architectures for autonomous systems. He leads the RIOTU-Lab for IoT and robotics research, emphasizing practical applications in disaster management, UAV coordination, and smart city infrastructure.