جست‌وجوی استاد و پژوهشگر

• CO2 Capture Technology
• Calcium Looping Process
• Thermochemical Energy Storage
• +۳ مورد دیگر

Carla Isabel Costa Pinheiro is an Assistant Professor at the Department of Chemical and Biological Engineering, Instituto Superior Técnico (IST), University of Lisbon. She specializes in sustainable process engineering with a focus on CO₂ capture technologies using calcium looping, thermochemical energy storage, and catalytic processes. Her work integrates computational modeling, process optimization, and control systems design. Education & Professional Background: PhD in Chemical Engineering (assumed based on academic rank) Postdoctoral experience in process systems engineering Research Interests: Her research addresses decarbonization challenges through innovative process designs, including utilization of industrial wastes as sorbents, solar energy integration in chemical processes, and advanced control strategies for complex systems. Key areas include: Calcium looping cycle optimization CO₂ capture from cement industry emissions Fluidized bed reactor modeling Process intensification via reactive distillation Dynamic simulation of FCC units Key Projects: CaReCI Project: Developed sustainable CO₂ capture solutions using calcium looping with industrial waste materials Modeling of ethyl tert-butyl ether (ETBE) production processes Control strategies for biodiesel extraction columns Thermal energy storage systems for CSP plants Teaching Contributions: Teaches Introduction to Process Control and integrates model predictive control projects into master's programs. Co-developed CAPE-based curriculum for chemical engineering education. Labs & Collaborations: Active in interdisciplinary teams at IST's Chemical Engineering Department, collaborating with industry partners on pilot-scale projects. Leads research groups focused on renewable energy systems and industrial sustainability.

Ana Margarida do Amaral Pauloمشاهده پروفایل

پژوهشگر

• Sports Expertise Development
• Decision Making
• Performance Analysis
• +۷ مورد دیگر

Ana Margarida do Amaral Paulo is a researcher and faculty member at the Faculty of Physical Education and Sport (FEFD), affiliated with the University of Lisbon. She is part of the CIDEFES research group, focusing on Sports Behavior, Physical Education, and Exercise and Health Sciences. With a PhD in Human Kinetics, her academic journey began at the University of Porto and culminated at the University of Lisbon under an FCT scholarship. Bachelor's and Master's: Faculty of Sports, University of Porto PhD: Faculty of Human Kinetics, University of Lisbon (2017) Her research centers on sports expertise development, decision-making, performance analysis, and motor control , particularly in volleyball and team sports. She employs advanced statistical methods and ecological dynamics to understand athlete behavior. Her work bridges cognitive psychology and biomechanics, emphasizing perception-action coupling and adaptive performance. The recent articles (2013–2025) show a consistent focus on performance indicators, motor variability, and decision-making under pressure. Her research spans youth development, elite performance, and coaching applications, with strong emphasis on data-driven analysis and intervention design. She was awarded the Fazer +, “Good research practices in teaching” Award in 2023 , highlighting her commitment to pedagogical excellence. Supervised at least 3 research projects or students Active in international collaborations, particularly in handball and volleyball research Engaged in interdisciplinary work linking psychology, physiology, and sports analytics Her research group, CIDEFES, supports a broad network of scholars in sports behavior and health sciences, contributing to both national and European-level studies.

• Computational Intelligence
• Intelligent Control
• Machine Learning
• +۷ مورد دیگر

Rui Araújo is an Associate Professor at the University of Coimbra (UC) since 2024, with a Habilitation in Electrical Engineering and Intelligent Systems. He is a Senior Member of IEEE and founding member of the Portuguese Institute for Systems and Robotics (ISR-Coimbra) . His career spans over 25 years in academia and research. BSc (1991), MSc (1994), PhD (2000), and Habilitation (2024) - all from UC Research interests focus on computational intelligence , intelligent control , and machine learning , with applications in robotics, automation, energy systems, and industrial processes. Key subtopics include fuzzy systems, neural networks, optimization algorithms, and real-time control architectures. Recent publications demonstrate expertise in deep learning for additive manufacturing , fuzzy control of photobioreactors , and machine learning for wastewater treatment . His work integrates edge computing and evolving systems for industrial environments. Scientific recognition includes: 2005: Fumio Harashima Best Paper Award (ETFA) 2018: Best Paper Award (ICELTICS) 2021: Best Paper Award (INDIN) 2023: Honorable Mention (SIMPEP) Active in research grants (49 total), including EVAI Charge (electric vehicle AI), RELIABLE (robotic safety systems), and InGestAlgae (microalgae production). Supervises research teams at ISR-Coimbra and collaborates with European institutions.

• Computer Networks
• Software Defined Networking
• Edge Computing
• +۱۲ مورد دیگر

José André Rocha Sá Moura is an Assistant Professor at ISCTE - Instituto Universitário de Lisboa, affiliated with the Department of Information Science and Technology (ISTA). He is also an Integrated Researcher at the Institute of Telecommunications – IUL, where he contributes to the Radio Systems Group in Lisbon. His academic and research work is centered on advanced networking technologies and systems. PhD in Computer Science, Lancaster University, 2011 Master's in Electrical and Computer Engineering, University of Porto, 2001 Bachelor's in Electrical Engineering and Telecommunications, University of Aveiro, 1989 His research interests include software-defined networking (SDN), edge and fog computing, network management, game theory, optimization, resource virtualization, and the resilience of networked systems. He explores intelligent access to heterogeneous wireless networks and the integration of cloud and big data technologies in modern network infrastructures. His work bridges theoretical models with practical implementations in next-generation networks. The most recent publications highlight a strong trend in decentralized network control, autonomous management using AI/ML, resilience in edge systems, and efficient resource provisioning for IoT and multimedia services. His work frequently applies SDN and game theory to solve complex networking challenges in dynamic and heterogeneous environments. Scientific Awards and Recognitions: No specific awards mentioned in the provided text. Academic Supervision and Research Contributions: José Moura has supervised 1 PhD (as co-supervisor) and 10 MSc theses, covering topics such as SDN-based intrusion detection, multi-access management, fog computing, and IoT architectures. He has been involved in research projects including ImpAr, NEUF, and SAAS. He serves as a reviewer for journals like IEEE Transactions on Vehicular Technology and conferences such as ConfTele. His research aligns with UN Sustainable Development Goals related to innovation and infrastructure. Labs and Research Teams: He is an active member of the Radio Systems Group at IT – Lisboa, focusing on wireless technologies and networked systems. His work is embedded in the broader ecosystem of the Institute of Telecommunications, a leading R&D unit in Portugal.

David Patientمشاهده پروفایل

استاد

• Strategy
• Organizations
• Entrepreneurship
• +۶ مورد دیگر

David Patient serves as Professor at Vlerick Business School (Belgium) since 2020 and concurrently holds a Visiting Professor position at CATÓLICA-LISBON. His research centers on organizational behavior with emphasis on managerial communication, employee motivation, and justice mechanisms within strategy, entrepreneurship, and healthcare management contexts. He earned a law degree from University College London followed by an MBA and PhD from the University of British Columbia's Sauder School of Business. These diverse academic foundations inform his interdisciplinary approach to organizational phenomena. Patient's scholarly work investigates temporal dynamics of justice judgments, agent bias in fairness perceptions, and the psychological consequences of informational injustice. His research integrates psychological, strategic, and ethical perspectives to address real-world management challenges, particularly in healthcare organizations where communication efficacy directly impacts operational outcomes. Analysis of his publication trajectory since 2003 reveals consistent focus on organizational justice frameworks, with increasing attention to leadership ethics, burnout prevention, and crisis response mechanisms. His methodological approach spans multilevel modeling, experimental designs, and narrative analysis, demonstrating adaptability across theoretical and applied contexts. As an academic leader, Patient directed CUBE (Católica Lisbon Research Unit in Business and Economics) and served as Academic Director for multiple degree programs including the Master in Psychology in Business and Economics and Executive Master in Management. His industry impact includes designing executive programs for WebSummit and Sands China Casinos, while his governance contributions include a three-year elected term on the Academy of Management's Board of Governors (2016-2019).

• Computer Networks
• Software-Defined Networking (SDN)
• Network Security
• +۵ مورد دیگر

Fernando Ramos is an Associate Professor at the Higher Technical Institute (University of Lisbon) in the Department of Computer Engineering . His work focuses on Software-Defined Networking (SDN) , Network Security , and Machine Learning applications in networking . Teaches courses: Master's Dissertation in Telecommunications and Computer Engineering Introduction to Computer Architecture Computer Organization Advanced Topics in Networks and Distributed Systems Ramos is actively involved in research on malicious traffic detection , network virtualization , and fault-tolerant systems . Recent projects include Peregrine (ML-based security) and FlowLens (efficient traffic classification). His publications highlight trends in programmable data planes , multi-cloud security , and energy-efficient networking , with notable work on Random Linear Network Coding and Secure Network Monitoring .

• Manufacturing Management
• Cyber-Physical Systems
• Virtual Enterprises
• +۱۰ مورد دیگر

Goran Putnik is a Full Professor at the Escola de Engenharia da Universidade do Minho and a Senior Researcher with the Dr habil qualification. He actively contributes to the IEM R&D Group at Centro ALGORITMI , focusing on advanced manufacturing systems and Industry 4.0. His research spans Cyber-Physical Systems , Virtual Enterprises , Production Scheduling , and Data Science , often contextualized within Industry 4.0 and digital transformation. Recent work includes meta-learning for manufacturing intelligence, collaborative scheduling models, and sustainability integration frameworks. Key publication trends highlight Industry 4.0 , Distributed Manufacturing , and Smart Systems . His 15 most recent articles (2022–2025) analyze integration frameworks, predictive maintenance models, and educational tools for manufacturing innovation. Putnik has authored 243 publications with an h-index of 24 , reflecting significant impact in manufacturing and systems engineering. He leads projects in cloud manufacturing, reconfigurable systems, and educational platforms.

• smart cities
• ubiquitous systems
• urban informatics
• +۳ مورد دیگر

Rui João Peixoto José is an Assistant Professor with Habilitation at the Information Systems Department, School of Engineering, University of Minho. He holds a PhD in Computer Science from Lancaster University (2001) and teaches Ubiquitous Systems, Distributed Systems, Digital Innovation, Service Engineering, and Urban Informatics. As a Senior Researcher at Centro Algoritmi, he leads the Urban Computing R&D Group, focusing on Smart Cities, urban platforms, and locative services that blend digital information with physical/social settings. PhD in Computer Science (2001), Lancaster University Assistant Professor at University of Minho since [year] Senior Researcher at Centro Algoritmi Co-founder of 3 companies (2 University of Minho spin-offs) His research spans 150+ publications, including top journals (IEEE Computer, Sensors, Personal and Ubiquitous Computing) and conferences (Ubicomp, PerDis). Key areas: Smart Cities, urban platform design, pervasive computing, mobile payment systems, and public digital displays. Collaborations with Bosch Car Multimedia on soft smart mobility. Scientific Contributions : 98+ publications (h-index 12 in ResearcherID) 585+ Scopus citations (h-index 11) 1300+ Google Scholar citations (h-index 16) Leadership & Service : PI/co-PI in 9 projects (FP7, FET-OPEN, Portugal/CMU funded) 80+ Program Committee roles (Ubicomp, CHI, IEEE Transactions) Editorial Board member: RISTI and ADCAI journals General/TPC Chair of 2 international conferences Entrepreneurial Impact : Co-founded 3 companies, including 2 University of Minho spin-offs. Focus on pervasive computing and urban technology solutions.

Paulo Rogério Barreiros D'Almeida Pereiraمشاهده پروفایل

استادیار

• Computer Networks
• Wireless Sensor Networks
• Delay-Tolerant Networks
• +۴ مورد دیگر

Paulo Rogério Barreiros D'Almeida Pereira is an Assistant Professor at the Department of Electrical and Computer Engineering at Instituto Superior Técnico, Universidade de Lisboa. He holds a PhD in Electrical and Computer Engineering from the same institution (2003), following a MSc (1994) and BSc (1991) in the same field. His academic roles include teaching courses such as 'Arquitectura e Gestão de Redes' and 'Programação'. Institution: Universidade de Lisboa (IST) Department: Departamento de Engenharia Electrotécnica e de Computadores His research focuses on computer networks, including vehicular networks, delay-tolerant networks (DTN), IoT, and cyber-physical systems. He leads projects at INESC INOV-Lab, emphasizing practical applications in smart grids and vehicular communication. Key research interests include: Routing protocols for DTN and vehicular environments Network security and privacy preservation Quality of Service (QoS) optimization Edge computing and monitoring systems Recent work highlights: Development of location-based and congestion-aware routing schemes Privacy-enhanced protocols for vehicular networks Co-simulation frameworks for smart grid protection systems Awarded the ITST 2011 Best Paper Award for contributions to vehicular DTN fragmentation mechanisms. Active contributor to EuroNF and IEEE initiatives, with over 50 publications in peer-reviewed venues. Lab affiliations: INESC INOV-Lab (Researcher), with interdisciplinary collaborations in telecommunications and cyber-physical systems.

• Operations Research
• Combinatorial Optimization
• Vehicle Routing
• +۳ مورد دیگر

Ana Catarina Nunes is an Assistant Professor in the Department of Quantitative Methods for Management and Economics at ISCTE Business School, ISCTE - Lisbon University Institute. She specializes in quantitative methods for management and economics with a focus on operational research applications. Education: PhD in Mathematics Applied to Economics and Management, Higher Institute of Economics and Management - UTL (2009) Master's degree in Operational Research, Faculty of Sciences - University of Lisbon (2000) Bachelor's degree in Statistics and Operational Research, Faculty of Sciences - University of Lisbon (1996) Research Focus: Dr. Nunes' work centers on combinatorial optimization and sectorization algorithms for real-world logistics problems. Her expertise includes developing mathematical models and heuristics for vehicle routing in waste collection systems, parcel delivery networks, and emergency services deployment. She pioneers dynamic sectorization approaches that adapt to time-varying demand patterns, with significant contributions to municipal waste management optimization. Publication Trends: Her recent publications (2022-2024) demonstrate a clear trajectory toward integrated decision support systems, combining preference-inspired evolutionary algorithms with practical sectorization frameworks. Key applications span household waste collection, fire brigade reorganization, and e-commerce logistics, reflecting her commitment to solving complex resource allocation problems through computational optimization. Academic Leadership: She currently serves as Director of the Master's in Data Science (2023-2025) and has held multiple coordination roles for Data Science undergraduate programs. Her active participation in Pedagogical and Scientific Councils highlights her institutional engagement. Funded by FCT projects including PTDC/MAT-NAN/2196/2014 (2016-2019) and PTDC/EGE-GES/121406/2010 (2012-2015), her work bridges theoretical operations research with municipal waste management challenges.

Nelson Arealمشاهده پروفایل

دانشیار

• Risk Measurement and Forecasting
• Option Valuation (Numerical Methods)
• Performance Measurement
• +۲ مورد دیگر

Nelson Areal is an Associate Professor of Finance at the Department of Management, School of Economics and Management, University of Minho. His academic journey includes roles as Assistant Professor (2006-2015) and Assistant Lecturer (1994-2006) at the same institution. Prior to academia, he worked as an Information Systems Auditor at Ernst & Young (1992-1994). PhD in Accounting and Finance from Lancaster University (2006) MSc in Business Administration (Corporate Finance specialization) from University of Minho (1998) BSc in Management from University of Minho (1992) His research focuses on risk measurement and forecasting , option valuation using numerical methods , performance measurement , and socially responsible investments . Recent publications show expertise in social media sentiment analysis for market prediction, innovation impact on sales , and dividend-adjusted options pricing . He has received multiple research grants from FCT and Universidade do Algarve. Peer review activities span journals like Expert Systems with Applications , The European Journal of Finance , and Journal of Business Ethics , with particular focus on computational finance, behavioral economics, and educational technology evaluation.

• Artificial Intelligence
• Machine Learning
• Digital Health
• +۴ مورد دیگر

Diogo Martinho is an Adjunct Professor at the Instituto Superior de Engenharia do Porto, part of Instituto Politécnico do Porto, where he teaches in the BSc in Informatics Engineering, MSc in Artificial Intelligence Engineering, and MSc in Biomedic Engineering programs. He is an integrated member of the Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development (GECAD). He obtained his PhD in Informatics Engineering (2023) from Universidad de Salamanca, MSc in Informatics Engineering (2015), and BSc in Informatics Engineering (2013) from Instituto Politécnico do Porto. His research focuses on Artificial Intelligence applications in healthcare and industry , with emphasis on personalized elderly care, chronic disease management, and collaborative decision systems. Core domains include: Multi-agent systems for health coaching Gamified behavioral interventions Ubiquitous decision support frameworks Machine learning for clinical classification His publications demonstrate strong emphasis on hybrid AI approaches combining cognitive agents, argumentation systems, and behavioral modeling. Recent work prioritizes practical implementations in diabetes management, respiratory health, and elderly wellbeing. Awards and honors include: Two PAPRE2024 grants for high-impact publications Best Paper Award (2022) Scientific Excellence Award (2015) Academic Merit Scholarship (2014) He has supervised/co-supervised 1 PhD thesis, 8 MSc dissertations, and 13 BSc projects. As Principal Investigator for EXPAI and ELFMo projects, and researcher in 11 international initiatives (e.g., FoodFriend, AIRDOC, PHE), he secured funding from ITEA, EU Horizon 2020, and Erasmus+. He coordinates GECAD's healthcare AI research and chairs the AItHeC conference session.

• Data Analysis
• Multivariate Statistics
• Categorical Data Analysis
• +۵ مورد دیگر

Teresa Calapez serves as Associate Professor and Director of the Department of Quantitative Methods for Management and Economics at ISCTE Business School, ISCTE - University Institute of Lisbon. She concurrently holds an Associate Researcher position at BRU-Iscte's Business Research Unit within the Data Analytics Group. Her academic qualifications include: Bachelor's degree in Mathematics (Statistics, Operational Research, Computing), Faculty of Sciences, University of Lisbon (1986) Master's degree in Statistics and Operational Research, Faculty of Sciences, University of Lisbon (1991) PhD in Quantitative Methods, ISCTE (2004) Her research centers on multivariate statistical methods for categorical data applied across labor economics and renewable energy sectors. She investigates work autonomy dynamics , job satisfaction determinants , and renewable energy partnership strategies using advanced data analysis techniques. Her methodological expertise in Likert-scale optimization and categorical variable analysis underpins empirical studies on Portuguese banking satisfaction and UFC fan engagement. Recent publications reveal growing specialization in renewable energy business models and workplace polarization effects , with significant contributions to European labor studies. Her statistical methodology work consistently informs applied research in socioeconomic contexts. She actively collaborates with GIESTA (Statistical Research Group), DINÂMIA (Center for Socioeconomic Change Studies), and the Portuguese Statistical Society, bridging theoretical statistics with real-world business and policy applications.

António Lucas Soaresمشاهده پروفایل

دانشیار

• Information Systems
• Collaborative Networks
• Information and Knowledge Management
• +۳ مورد دیگر

António Lucas Soares is an Associate Professor at the Department of Informatics Engineering, Faculty of Engineering, University of Porto, and a researcher at INESCTEC. He coordinates the Center for Enterprise Systems Engineering and Cluster Industry & Innovation at INESCTEC. His expertise lies in Information Systems with a focus on Collaborative Networks and Knowledge Management in industrial contexts. He directs the Master's program in Information Science (FEUP/FLUP) and holds executive roles in international academic organizations. His research emphasizes socio-technical design, digital platforms, and Industry 5.0 applications in manufacturing and logistics resilience. Research Interests: Socio-technical systems design Knowledge representation frameworks AI-driven supply chain transformations Augmented Reality applications Logistics 5.0 technologies Publications (2024) highlight advancements in requirements management frameworks, cognitive digital twins, and Industry 5.0 logistics innovations. His work bridges technical solutions with human-centered operational needs in industrial ecosystems. Advising: Supervised 10+ theses on topics like Scrum adoption, digital twins, and circular economy ecosystems. Active in grant-funded projects addressing manufacturing resilience and supply chain digitalization. Labs/Teams: Leads the Enterprise Systems Engineering Centre at INESCTEC, fostering interdisciplinary research in industrial informatics and collaborative networks.

Luis Miguel Nogueiraمشاهده پروفایل

استاد

• Dynamic Distributed Real-time Systems
• Quality of Service
• Ad-hoc Networks
• +۳ مورد دیگر

Luis Miguel Nogueira is a Professor and Integrated PhD Researcher at the Department of Computer Engineering, School of Engineering, Polytechnic Institute of Porto, Portugal. He holds a PhD in Informatics (Systems and Networks) from the University of Porto (2009), an MSc (2002), and a BSc (2000) in Computer Engineering from the Polytechnic Institute of Porto. Education: BSc in Computer Engineering, School of Engineering, Polytechnic Institute of Porto (2000) MSc in Informatics, Faculty of Science, University of Porto (2002) PhD in Informatics (Systems and Networks), Faculty of Science, University of Porto (2009) Research Interests: His work focuses on Dynamic Distributed Real-time Systems, Quality of Service (QoS), and Ad-hoc Networks. Key areas include real-time scheduling algorithms, distributed systems, fault-tolerant embedded systems, and adaptive resource management in cooperative environments. His research emphasizes practical applications in embedded and real-time systems through frameworks like AMPERE and MARS. Recent Articles: His recent work explores topics such as reducing the theory-practice gap in real-time systems (DSN 2024), model-driven development for parallel systems (ISORC 2020), and scheduling strategies for fork-join tasks (RTCSA 2017). These contributions address challenges in multiprocessor scheduling, work-stealing algorithms, and QoS-aware configurations. Advising: Luis has supervised Cláudio Maia’s PhD thesis on parallel real-time task scheduling. He actively participates in projects like HURRAY and AMPERE, focusing on real-time systems and energy-efficient computation. Labs & Collaborations: A core member of the CISTER research group, he contributes to projects involving distributed real-time systems, middleware development, and embedded system frameworks. His work aligns with European initiatives like the AMPERE framework for parallel computing.