جست‌وجوی استاد و پژوهشگر

João Guerreiroمشاهده پروفایل

استادیار مهمان

• Marketing
• Decision Support Systems
• Neuroscience Applied to Marketing
• +۴ مورد دیگر

João Guerreiro is a Visiting Assistant Professor at ISCTE-IUL (Instituto Universitário de Lisboa) with a PhD in Marketing from the same institution. He is affiliated with the Iscte Business School, where he teaches undergraduate and master's degree courses in marketing and decision support systems, applying data mining techniques to analyze large information sets. His research expertise spans three interconnected domains: Decision Support Systems - particularly in banking and insurance sectors where he has held executive positions Neuroscience Applied to Marketing - utilizing eye-tracking and studying autonomic emotional responses to consumer stimuli Corporate Social Responsibility - examining cause-related marketing and pro-environmental behavior in tourism Dr. Guerreiro's recent publications (2020-2023) reveal a strong emphasis on immersive technologies, with multiple studies on virtual reality applications in consumer behavior, augmented reality's impact on purchasing decisions, and cross-cultural differences in digital marketing effectiveness. His methodological approach frequently incorporates text mining, sentiment analysis, and neuromarketing techniques to uncover deeper consumer insights. His industry experience in decision support systems provides practical grounding for his academic work, creating a valuable bridge between theoretical marketing concepts and real-world business applications in financial sectors.

• Marketing
• Consumer Behavior
• Tourism and Hospitality
• +۲ مورد دیگر

Ricardo F. Ramos is an Adjunct Professor at the Oliveira do Hospital School of Technology and Management, Polytechnic Institute of Coimbra (ESTGOH-IPC), and at the Information Management School, NOVA University Lisbon (NOVA-IMS). He serves as an Associate Researcher at ISTAR-Iscte - Research Center in Information Sciences, Technologies and Architecture, focusing on Information Systems. His educational background includes: PhD in Management with specialization in Marketing from ISCTE (2015-2018) Master's degree in Sports Management from University of Lisbon Faculty of Human Kinetics (2012-2015) Bachelor's degree in Sport from Polytechnic Institute of Setúbal Higher School of Education (2009-2012) Ricardo's research spans diverse areas within marketing, with particular focus on consumer behavior in tourism and hospitality, sports marketing, and text mining applications. His methodology often involves analyzing textual data to uncover consumer insights, as demonstrated in publications examining social media, mobile applications, and online reviews. His work frequently explores the intersection of technology and consumer behavior, investigating how digital platforms influence purchasing decisions and service experiences. His recent research trends show a growing interest in sustainability within business contexts, virtual and augmented reality applications in tourism, artificial intelligence in marketing, and the evolving dynamics of digital consumer behavior across various industries including hospitality, aviation, and retail. Ricardo has received significant recognition for his scholarly work, with publications in high-impact journals such as the International Journal of Hospitality Management, Journal of Air Transport Management, and Journal of Hospitality and Tourism Technology. His research on topics like social media's impact on retail websites, airline sustainability, and customer satisfaction in tourism contexts has accumulated hundreds of citations across multiple databases. His academic contributions extend to collaborating with researchers across various institutions, with a methodological approach that frequently employs text mining and data analytics to extract meaningful consumer insights from large datasets.

• Robot Vision
• Robot Navigation
• Computer Vision
• +۷ مورد دیگر

Helder Araujo is a Professor at the Department of Electrical and Computer Engineering, University of Coimbra. His research focuses on Robot Vision , Computer Vision , and Medical Imaging , with applications in Capsule Endoscopy , Autonomous Driving , and Sensor Fusion . Recent publications highlight advancements in 3D Object Detection using transformer networks (e.g., RetSeg3D , DDet3D ), Medical Robotics (e.g., Self-supervised monocular pose estimation ), and Federated Learning (e.g., FAIR-FATE ). Key subfields include Transformer Models , Deep Learning , and Autonomous Navigation . His projects span Medical Imaging (e.g., Multi-Cam Capsule Endoscopy ), Autonomous Robotics (e.g., Learning to Navigate Endoscopic Capsule Robots ), and Edge Computing (e.g., Benchmarking CNN Inference on Low-Power Devices ). Grants include funding from Fundação para a Ciência e a Tecnologia (e.g., PTDC/EEI-ROB/1155/2020) and the European Commission (e.g., AdvanCed Hardware/Software Components for Embedded Vision). He has served as an invited researcher at Université Blaise Pascal (2012–2014). Peer review activities cover journals like IEEE Transactions on Pattern Analysis and Machine Intelligence and Autonomous Robots . His work bridges Medical Imaging , Autonomous Systems , and AI Fairness .

• Computer Vision
• Pattern Recognition
• Facial Analysis
• +۵ مورد دیگر

Jorge Manuel M. C. Pereira Batista is an Associate Professor at the Department of Electrical and Computer Engineering , University of Coimbra, Portugal. He serves as a senior researcher at the Institute for Systems and Robotics (ISR-UC) and leads the Computer Vision Group. His career spans academic roles, research coordination, and industry collaboration. Academic Affiliation: University of Coimbra (Electrical & Computer Engineering Department) Research Institute: Institute for Systems and Robotics (ISR-UC) His research focuses on Computer Vision , Pattern Recognition , and applications of Differential Geometry in these fields. Key subdomains include facial analysis, visual surveillance, real-time vision systems, and machine learning integration. From 2010–2023, his recent publications highlight advancements in probabilistic models , transformer architectures , multi-branch learning , and biomimetic robotics . He has coordinated multiple funded projects such as: STORK : Avian protection systems NeuroCity : Intelligent street lighting 4D Facial Dynamics : Identity recognition iTRAFFIC : BRISA highway traffic monitoring His work bridges theoretical innovation (e.g., Riemannian manifold applications) with practical deployments in transportation, energy, and healthcare sectors.

• Computer and networked systems security
• Systems security and privacy
• Trusted execution environments
• +۶ مورد دیگر

Nuno Santos is an Associate Professor in the Department of Computer Science and Engineering at Instituto Superior Técnico (IST), University of Lisbon, and a senior researcher at INESC-ID Lisbon, where he leads the SysSec team within the Distributed, Parallel and Secure Systems (DPSS) group. He is an active member of the international security community, serving as Program Vice Co-Chair for USENIX Security 2025 and on program committees for top venues such as IEEE S&P, CCS, and USENIX Security. Education: Ph.D. in Computer Science, 2013 – Max Planck Institute for Software Systems (MPI-SWS) & Saarland University Research internships at Microsoft Research Redmond (2010), Vrije Universiteit Amsterdam (2018), and Technical University of Munich (2024) Research Interests Nuno Santos’s research centers on the security and privacy of computer and networked systems, with particular emphasis on trusted execution environments, secure systems design, and the intersection of machine learning with security. His group investigates vulnerabilities and defenses in widely deployed platforms, including TrustZone, JavaScript runtimes, and cloud infrastructures. Additional themes include censorship-resistant communication, privacy-preserving analytics, and automated exploit generation. Recent Publication Trends Over the past five years, his work has increasingly targeted emerging threat models in confidential computing (AMD SEV-SNP, Intel TDX), large-language-model integration into web applications, and automated security analysis of JavaScript ecosystems. These publications consistently appear in the most selective venues (PLDI, SIGMETRICS, ICSE, NDSS, S&P, USENIX Security), evidencing strong empirical evaluation and real-world impact. Awards & Honors IST Outstanding Teaching Award (2019/2020) ISOC.PT Best Portuguese Internet Research Award (2024) Prémio Científico Universidade de Lisboa / Caixa Geral de Depósitos (2024) Multiple IST Teaching Excellence Awards Advising & Service Nuno Santos has supervised numerous MSc and PhD students whose theses span secure systems, network privacy, and trustworthy computing. Recent defenses include Bernardo Ribeiro, Cristi Savin, Hugo Mantinhas, João Aragonez, João Sá, and Tomás Tavares. He actively participates in doctoral committees and mentors junior researchers within the DPSS group. Labs, Teams & Collaborations He leads the SysSec team inside the Distributed, Parallel and Secure Systems (DPSS) group at INESC-ID Lisbon. The team maintains strong collaborative ties with MPI-SWS, VUSec at VU Amsterdam, the Systems Research Group at TU Munich, and multiple industry partners including Microsoft Research.

Emanuele Borgonovoمشاهده پروفایل

استاد

• Sensitivity Analysis
• Decision Analysis
• Risk Analysis
• +۳ مورد دیگر

Emanuele Borgonovo is a Full Professor and Director of the Department of Decision Sciences at Bocconi University. He serves as a Research Affiliate at MIT's Department of Nuclear Science and Engineering, co-editor-in-chief of the European Journal of Operational Research , and advisor for the Springer International Series in Management Science and Operations Research. His leadership roles include President of the Decision Analysis Society of INFORMS (2020-2022) and Co-Chair of the ESRA Technical Committee on Uncertainty Analysis. Affiliation: Bocconi University Collaboration: MIT, NASA, DARPA, Idaho National Laboratory, EDF His research focuses on Sensitivity Analysis, Decision Analysis, Risk Analysis, and Uncertainty Quantification. He pioneered techniques like the differential importance measure, now adopted in NASA's PRA Guide. Recent work explores explainable AI via Shapley values and optimal transport methods for sensitivity analysis. 2025: Explainable risk assessment modeling 2025: Sensitivity analysis of climate models 2024: AI impact on job markets Scientific honors include: Excellence in Research Award (2020) IBM Faculty Award (2015) Best Risk Analysis Paper Award (2014) Multiple Best Reviewer Awards (2006-2022) At SDA Bocconi, he leads the Artificial Intelligence and Data Science for Executives program and taught in MBA/DBA courses. His work has been supported by grants from US Department of Energy, NASA, and Electricité de France.

• Embedded real-time systems
• Computer architectures
• Hardware/software co-design for IoT
• +۵ مورد دیگر

Tiago Manuel Ribeiro Gomes is an Assistant Professor at the Department of Industrial Electronics within the School of Engineering at the University of Minho, Portugal. He is also a Senior Researcher at Centro ALGORITMI and a member of both the IE R&D Group and the ESRG R&D Lab. Holding a Ph.D. in Electronics and Computers Engineering, his research focuses on embedded real-time systems, computer architectures, and hardware/software co-design for IoT devices. Academic Degree: Ph.D. in Electronics and Computers Engineering Current Position: Assistant Professor, School of Engineering, University of Minho Gomes has led extensive research in IoT systems over 15 years, particularly in hardware acceleration for automotive LiDAR sensors, secure embedded systems, and efficient OS frameworks for low-end devices. His work includes the EU-funded CROSSCON project and spans hardware-assisted security, dynamic binary translation, and wireless sensor networks. Recent publications highlight his expertise in automotive sensor technology, with articles like FOG-Zip for LiDAR compression, SecureQNN for TinyML security, and Hardware-Assisted Range Image Generation for LiDAR processing. His work bridges IoT, embedded systems, and cybersecurity, focusing on real-time performance and hardware-software co-design. Projects include the development of reliable/secure automotive sensor solutions and EU project CROSSCON. He contributes to open-source frameworks like UTango for IoT security and investigates heterogeneous fault tolerance architectures using Arm/RISC-V processors. Labs: IE R&D Group, ESRG R&D Lab Education: Ph.D. in Electronics and Computers Engineering, Master’s in Telecommunications Engineering (both from University of Minho)

• Logistics
• Supply Chain Management
• Operations Research
• +۲ مورد دیگر

Maria Sameiro Faria Brandão Soares Carvalho is an Associate Professor at the Department of Production and Systems of the School of Engineering, University of Minho, Portugal. She serves as a Senior Researcher with PhD at the Centro ALGORITMI and was Associate Director of the ALGORITMI Research Centre from 2018 to 2024. She is an active member of both the Industrial and Engineering (IEM) R&D Group and the SLOTS (Supply chain, Logistics and Transportation Systems) R&D Lab. Educational Background: Graduated in Computer and Systems Engineering at the University of Minho, Portugal MSc degree in Transportation Planning and Engineering PhD degree in Transportation Planning from the University of Leeds, UK Dr. Carvalho's primary research interests focus on Logistics and Supply Chain Management, with specific emphasis on techniques and applications of Operations Research in transportation, logistics, and supply chain contexts. Her work spans theoretical frameworks, empirical studies, and practical applications across various industries including automotive, construction, healthcare, and manufacturing. She has developed decision support systems for supply chain optimization, risk management, and transportation planning, with particular attention to the impacts of globalization and pandemic disruptions on supply chain performance. Her publication record shows a consistent research trajectory with 105 publications spanning from 2007 to 2025. Her recent work demonstrates an evolution from traditional operations research methods toward integrating artificial intelligence and machine learning approaches. Key research themes include supply chain quality management 4.0, explainable AI for business decision-making, service-oriented supply chains, risk propagation in global networks, and sustainable logistics solutions. Her publications appear in high-impact journals across operations research, supply chain management, and transportation fields. Scientific Contributions: h-index of 16 81 publications (according to profile, though the list shows 105) 23 publications in Q1/Q2 journals 1157 total citations Dr. Carvalho has supervised a large number of MSc dissertations and doctoral theses throughout her career, demonstrating her commitment to mentoring the next generation of researchers. She has served on the Director Board of the Doctoral Program in Industrial and Systems Engineering and contributed to the AESI (Advanced Engineering Systems for Industry) PhD program. Her professional service includes reviewing more than twenty papers for scientific journals and conference proceedings, reflecting her active engagement with the academic community. Her research is conducted within the ALGORITMI Research Centre, where she leads the SLoTS R&D Lab focused on Supply chain, Logistics and Transportation Systems. This lab serves as a hub for interdisciplinary research that bridges theoretical operations research with practical industry applications, particularly in the automotive, construction, and healthcare sectors.

• Brain-Computer Interfaces
• Virtual Reality
• Neurorehabilitation
• +۵ مورد دیگر

Athanasios Vourvopoulos is an Assistant Professor at the Department of Bioengineering, Instituto Superior Técnico (University of Lisbon). He leads research in Brain-Computer Interfaces (BCI), Virtual Reality (VR), and neurorehabilitation, focusing on applications for stroke recovery and neurological disorders. His work integrates EEG neurofeedback, neuromodulation, and embodied VR to enhance clinical outcomes. He teaches courses such as Fundamentals of Bioinstrumentation and Introduction to Biomedical Engineering. Research Interests Brain-Computer Interfaces Neurorehabilitation EEG Neurofeedback Neuromodulation techniques Human-Machine Interaction Assistive technologies His research emphasizes translating neurotechnologies into clinical settings, with studies on BCI-VR systems for motor recovery in stroke patients and EEG-based action anticipation in robotics. Recent work includes multimodal neuroimaging (EEG-fMRI) and open-source tools like NeuXus for real-time artifact reduction. Awards Early Career Investigator Award , International Society for Virtual Rehabilitation (ISVR, 2022) Diploma of Excellence in Teaching , Instituto Superior Técnico (IST, 2023) He collaborates with the Institute of Systems and Robotics (ISR-Lisbon) and has published extensively on BCI-VR integration, neuromodulation, and neurorehabilitation outcomes. His labs focus on developing embodied VR systems and BCI-driven therapies for motor impairment recovery.

• Artificial Intelligence
• Computational Catalysis
• Cybermaterials
• +۷ مورد دیگر

José R. B. Gomes is a Principal Researcher at the Department of Chemistry, University of Aveiro, and a core member of CICECO – Aveiro Institute of Materials. His research focuses on computational chemistry, with emphasis on multiscale approaches for catalysis, materials design, and surface science. He holds a Ph.D. from the University of Porto (2000) and has conducted postdoctoral research at the University of Barcelona and Porto. His work integrates quantum mechanics, molecular dynamics, and machine learning to study reactions at interfaces, gas adsorption in porous materials, and ionic liquid interactions. He leads multiple funded projects, including investigations into MXene-based catalysts and corrosion inhibitors. Key achievements include the Vicente de Seabra Medal (2010) and pioneering studies on MXene stability and catalytic properties. He supervises a dynamic research group comprising Ph.D. and M.Sc. students and collaborates internationally with institutions like the University of Barcelona and Strathclyde. Teaching roles at the University of Aveiro include computational chemistry and modeling courses. Educations: Ph.D. in Chemistry, University of Porto (2000); Postdoctoral training at University of Barcelona (2000–2007) Research Interests: Leveraging computational methods (DFT, MD, QM/MM) to bridge length/time scales in material design. Active areas include: (1) MXenes for catalysis and sensors, (2) Machine learning for corrosion inhibitor screening, (3) Gas adsorption in porous materials, and (4) Multiscale modeling of silicate chemistry. Recent work emphasizes AI-driven material discovery and sustainable energy applications. Publications: Over 200 peer-reviewed articles, with recent focus on MXene surface chemistry and corrosion solutions. Notable contributions include the DATACORTECH AI platform for inhibitor design and studies on subsurface oxygen in MXenes. Awards: Teresa da Fonseca Prize (1995), Mendonça Monteiro Prize (1994), Vicente de Seabra Medal (2010) Grants & Leadership: Coordinator of Group 6 at CICECO and PI of projects funded by FCT, Rede Nacional de Computação Avançada, and international collaborations. Active in developing AI tools and corrosion-resistant materials for industrial applications.

Lianshe Fuمشاهده پروفایل

پژوهشگر

• Luminescent Materials
• Organic-Inorganic Hybrids
• Lanthanide Complexes
• +۷ مورد دیگر

Lianshe Fu is a Researcher in the Department of Physics at the University of Aveiro, Portugal, affiliated with the CICECO-Aveiro Institute of Materials. He holds a PhD in Chemistry, with postdoctoral experience in France, Portugal, and Hong Kong. His research focuses on luminescent materials, including lanthanide complexes in organic-inorganic hybrids, luminescent solar concentrators, and photocatalytic systems. Education: B.Sc. in Chemistry (1987, China); M.Sc. in Analytical Chemistry (1990, CIAC, China); PhD in Chemistry (1996, China). Postdoctoral work at Université Blaise-Pascal (France), University of Aveiro (Portugal), and City University of Hong Kong (2006). Research Interests: Design of luminescent materials for LEDs and solar concentrators, photocatalytic systems for environmental remediation, and MOF-based sensors for heavy metals and antibiotics. His work emphasizes energy-efficient materials and environmental applications. Recent projects include optimizing luminescent solar concentrators using machine learning and developing novel MOFs for antibiotic detection. He collaborates internationally, with publications in ChemPhysChem , ACS Applied Materials , and Journal of Materials Chemistry . Labs/Teams: Active in CICECO, leading projects on functional hybrid materials and photonic applications. His work bridges fundamental materials science and practical applications in energy and environment.

• International Marketing
• Retailing
• Digital Consumer Behaviour
• +۳ مورد دیگر

Susana Costa e Silva is Associate Professor (with Agregação) at Universidade Católica Portuguesa, holding positions as Master Programme Director since 2007 and visiting professor at University of Saint Joseph, Macao/China. She earned a PhD in Marketing from University College Dublin. Research examines international marketing, retailing, digital consumer behavior, and social/cause-related marketing. Published in premier journals including Psychology & Marketing , Journal of Business Research , and International Marketing Review . Authored 11 books, 17 book chapters, and over 100 articles. Current projects include DIP4Agri: Deep Tech Innovation Programme FOR AGRIfood (2023-2024) focusing on AI applications in agriculture, and research on omnichannel marketing strategies (2022-2024). Articles explore AI's marketing applications (2021), consumer guilt scales (2024), gamification effects (2024), and B2B perceptions (2025). Acknowledged with Best Paper awards from EIBA (2006) and other honors for case studies and international collaborations. National representative for Portugal at EMAC and former EIBA board member. Extensive industry consultation includes omnichannel maturity evaluation for EY/CPBS.

Miguel Sales Diasمشاهده پروفایل

پژوهشگر

• Machine Learning
• Smart Cities
• Immersive Technologies
• +۶ مورد دیگر

Miguel Sales Dias is affiliated with ISCTE - Instituto Universitário de Lisboa, specifically the Iscte Business School. His research spans multiple domains, including Machine Learning , Immersive Technologies , and Urban Mobility . His work focuses on: Developing AI-driven systems for energy consumption optimization in public buildings Creating co-design interfaces for housing customization Exploring mHealth applications for cardiac diagnostics Advancing virtual reality for education and visitor experiences Recent publications demonstrate expertise in smart city solutions , bioinformatics , and human-computer interaction . While specific awards or educational background weren't explicitly mentioned, his extensive publication record indicates significant contributions to interdisciplinary research.

João Pedro Machado Vitorinoمشاهده پروفایل

مدرس پاره‌وقت

• Machine Learning
• Artificial Intelligence
• Cybersecurity
• +۳ مورد دیگر

João Pedro Machado Vitorino is a part-time lecturer and researcher at the Polytechnic Institute of Porto's School of Engineering, affiliated with GECAD. He is pursuing a Ph.D. in Informatics Engineering (Artificial Intelligence) at the University of Porto and holds an MSc in Artificial Intelligence Engineering. Education : Ph.D. (in progress), MSc, and BSc in Informatics/Artificial Intelligence Engineering Research : Focuses on machine learning robustness, explainability, and adversarial attack simulation for cybersecurity applications Projects : Involved in 7 EU/National R&D initiatives (2021-2025), including BEHAVIOR (2024-2025) and CYDERCO (2023-2025) His recent publications (2023-2025) span cybersecurity datasets , adversarial learning , malware detection , LLM security , and energy-efficient AI . He co-organized the 36th European Simulation & Modelling Conference (2022) and peer-reviewed for Pattern Recognition and Computers & Security . Awards : IEEE Outstanding MSc Thesis (2023), Engineers Association Innovation Award (2024), multiple merit certificates Skills : Machine Learning, AI Security, Network Analysis, and 3 professional certifications (Cisco, Microsoft, Airbus)

• Artificial Intelligence
• Distributed Computing
• Energy Communities
• +۳ مورد دیگر

Rafael Duarte Pereira da Silva is a Research Fellow at the Research Group on Engineering and Intelligent Computing for Innovation and Development (GECAD) within the School of Engineering of the Polytechnic Institute of Porto. He is currently pursuing his doctoral degree in Artificial Intelligence and Intelligent Systems Engineering while developing AI-driven solutions for energy communities and smart buildings. His academic background includes: Master's degree in Artificial Intelligence Engineering (2025) from the Polytechnic Institute of Porto, with a dissertation on "Distributed Intelligent Management of Citizen Communities" (grade: 19/20). Bachelor's degree in Computer Engineering (2022) from the Polytechnic Institute of Porto, featuring a green computing project for smart building energy management. Currently enrolled in a doctoral program in Artificial Intelligence and Intelligent Systems Engineering (since 2025). Rafael's research spans Artificial Intelligence, Distributed Computing, and Energy Communities, focusing on human-centric intelligent systems for resource optimization. He develops virtual energy communities using IoT devices and AI models to enable dynamic interaction with community members while managing distributed resources. His work emphasizes sustainability through green computing principles and integration of renewable energy sources in smart infrastructure. His 2024-2025 publications reveal a cohesive research trajectory centered on the Caravels framework for decentralized energy management. Key themes include container-based infrastructure for community resource sharing, peer-to-peer energy trading with storage optimization, and AI-driven demand response systems. His work bridges theoretical AI models with practical IoT implementations, particularly in energy forecasting and HVAC control, demonstrating significant contributions to sustainable consumption in smart buildings and community-scale energy systems. Advising Co-supervised three undergraduate thesis projects at the Polytechnic Institute of Porto on IoT notification systems, Linux-based single-board computer configuration, and open-source IoT devices for smart buildings. Grants and Projects Sa4CPS: Secure situational awareness for critical cyber-physical systems (COMPETE2030-FEDER and ITEA) NGS: New Generation Storage (PRR initiative) TIoCPS: Trustworthy and Smart Communities of Cyber-Physical Systems (P2020 and ITEA programs) As an active GECAD member, Rafael contributes to server infrastructure management and organizes scientific events, including public demonstrations that secured the group's "Excellent" FCT evaluation rating. He has coordinated annual team energizing events for two consecutive years and participated in developing virtual energy community systems that showcase GECAD's research impact in distributed computing and IoT integration.