Eliana M.F. Vieira is an Assistant Researcher at the Center for Microelectromechanical Systems (CMEMS) within the School of Engineering at the University of Minho (UMinho), Portugal. She is also an integrated member of the LABBELS Associate Laboratory. Her research is conducted in the Department of Industrial Electronics, where she contributes to both R&D and teaching. PhD in Physics (2013), University of Minho BSc in Education of Physics and Chemistry (2008), University of Minho Dr. Vieira's research focuses on the development and application of nanomaterials for energy harvesting and sensing technologies. Her work emphasizes thermoelectric generators, self-powered photodetectors, and magneto-optical sensors, with a strong interest in the relationship between nanostructure and material properties. She investigates thin films, quantum dots, and flexible composites for enhanced micro and nanodevices. Her recent publications highlight advancements in screen-printed thermoelectrics, MEMS-based atomic vapor cells, and pyro-phototronic effects in oxide heterojunctions. These works reflect a strong trend toward flexible, scalable, and self-powered electronic systems with applications in wearable sensors, biomedical imaging, and sustainable energy. 4 awards for best student during BSc Micro&NanoFabs@PT project award (NORTE-01-0145-FEDER-022090) Dr. Vieira has supervised multiple graduate students and currently mentors two MSc and two PhD candidates funded by FCT. She has secured significant research funding, including grants from FCT and EU programs, and has led strategic projects such as CMEMS and NanOx4EStor. She has served as a scientific reviewer, thesis arguer, and evaluator for national fellowship programs. She leads research in the CMEMS-UMinho lab, particularly in thin-film deposition and device fabrication, and collaborates extensively with international institutions in France, Italy, Spain, and the UK.
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Minjoon SeoView profile
Associate Professor
Minjoon Seo is an Associate Professor at KAIST AI, Korea Advanced Institute of Science and Technology. He holds a BS in Electrical Engineering & Computer Science from UC Berkeley and previously worked as a software engineer at Oracle. His research focuses on natural language understanding, large-scale end-to-end question answering, and multimodal AI systems combining language and vision. Research Interests: His work spans Natural Language Processing, Machine Learning, Deep Learning, and Language-Vision integration. He develops neural network architectures for machine comprehension and multimodal understanding, with applications in question answering systems and diagram interpretation. Publications: His research demonstrates a consistent focus on multimodal AI systems, with recent works advancing neural approaches to machine comprehension and diagram understanding. Publications show strong emphasis on NLP-CV integration and practical applications in healthcare and education. Awards: Best Paper Nomination at UbiComp 2014 for BiliCam research Professional Activities: Maintains active open-source contributions through GitHub repositories related to question answering systems and NLP research. Co-founded Config Intelligence while maintaining academic position.
Nuno Luis MadureiraView profile
Professor
Nuno Luis Madureira is a Full Professor in the Department of History at ISCTE – Lisbon University Institute, where he is also an Integrated Researcher at CIES-Iscte – Center for Research and Studies in Sociology. His academic affiliations include the School of Social Sciences and Humanities and the research group Historical Dynamics and Global Integration of the World . He has been a visiting scholar at Harvard University and the University of California, Berkeley, and serves on the review boards of the European Science Foundation, Research Foundation – Flanders (FWO), and the Netherlands Organization for Scientific Research (NWO). Madureira holds a PhD in Contemporary Social History from ISCTE-IUL (1996), a Master’s in Historical Economics and Sociology from the Faculty of Social Sciences and Humanities at UNL (1990), and a Bachelor’s in History from the Faculty of Arts at UL (1984). His research spans energy and environmental history, economic and business history, the history of technology and science, and historical occupations. He has authored thirteen books, including Key Concepts in Energy: Technology, Economy and History (Springer, 2014), and numerous peer-reviewed articles in journals such as Energy Policy , Technology & Culture , Business History Review , and Environment and History . His recent publications reflect a deep engagement with energy transitions, fossil fuel history, nuclearization, and the socio-political dimensions of energy systems. Themes such as energy paradoxes, oil pricing, and the historical development of electricity infrastructure recur throughout his work. He has also contributed to major encyclopedias and edited volumes in economic and social history. Madureira is the editor of Frontiers in Sustainability and has coordinated multiple collective research projects. He maintains an active research blog and is fluent in French and English. His work is interdisciplinary, combining historical analysis with insights from economics, engineering, and environmental sciences. Scientific Awards and Recognitions: Member of the permanent pool of referees of the European Science Foundation (2006–2013) Member of the College of Reviewers of the European Science Foundation (2016–2023) Member of the Research Foundation – Flanders (FWO) Review College Consultant for the Netherlands Organization for Scientific Research (NWO) He has advised on research policy and evaluation at national and European levels and is a member of ISCTE's General Board. His work on historical occupations and classification systems has been foundational in Portuguese social history. He has not advised any named PhD or Master’s students in the provided texts. He is not part-time, not retired, and currently active in research and teaching.
Maria Margarida Rolim Augusto LimaView profile
Assistant Professor
Maria Margarida Rolim Augusto Lima is an Assistant Professor at the Faculty of Science and Technology (Nova University Lisbon) in the Department of Materials Science. Her academic career focuses on ceramic and glass materials research. PhD in Materials Science (Ceramics and Glass), Nova University Lisbon (2003) MSc in Materials Engineering, Nova University Lisbon (1994) BSc in Physical and Materials Engineering, Nova University Lisbon (1989) Her scientific interests span mechanical recycling of electrical/electronic waste , ceramic-based industrial waste recycling , and glass-ceramic composites development. Research emphasizes synthesis techniques, crystallization kinetics, and dielectric properties evaluation. The article titles show consistent focus on borosilicate glass systems (2003-2014), with technical investigations into isothermal/non-isothermal sintering , oxide substitution effects , and microstructural evolution through dilatometry/XRD. Most recent publications (2012-2014) demonstrate continued work on glass-ceramic composites and dielectric behavior .
Chrysoula ZervaView profile
Assistant Professor
Chrysoula Zerva is an Invited Assistant Professor in the Department of Electrical and Computer Engineering at Instituto Superior Técnico and a post-doc researcher in the SARDINE group at the Instituto de Telecomunicações. She holds a PhD from the University of Manchester (2019) and was awarded the EPSRC Doctoral Prize Fellowship for the “Fake Health News” project. Her research focuses on uncertainty quantification, fairness, explainability in NLP, and machine translation evaluation. Key interests include adversarial attacks, bias mitigation, and disentangled representation learning. Dr. Zerva’s work spans conformal prediction frameworks, dialect bias in reward models, and response clarity classification. Her contributions to MT evaluation and quality estimation have been highlighted in WMT shared tasks. Recent studies address ethical AI challenges, such as the societal impacts of LLMs and biases against African American language. Scientific Awards: EPSRC Doctoral Prize Fellowship Labs/Teams: Member of the SARDINE research group Her publications investigate cutting-edge topics like CLIPScore metrics, non-exchangeable conformal methods, and context-aware NMT for business dialogues. Collaborations include Unbabel and participation in international shared tasks.
Pedro U. LimaView profile
Professor
Pedro U. Lima is a Full Professor at Instituto Superior Técnico (IST), University of Lisbon, and President of the Institute for Systems and Robotics (ISR/IST), coordinating the Intelligent Robots and Systems group (IRSg). He holds a Ph.D. in Electrical Engineering from Rensselaer Polytechnic Institute (1994). His research focuses on intelligent control systems, multi-robot coordination, and human-robot interaction, with contributions to robotics competitions like RoboCup and initiatives like the European Robotics League (E.R.L.). Lima has served as Vice President of the RoboCup Federation, Trustee of IEEE Portugal RAS Chapter, and Portuguese National Delegate to the European Space Agency’s Human Spaceflight Program Board. He led the Cátedra de Excelencia sabbatical at UC3M (2010), contributing decision-theoretic approaches to human-robot interaction. His work integrates robotics with societal impact, including outreach through the Pavilhão do Conhecimento and media appearances. He coordinates large projects like euROBIN (EU Horizon Europe) and CRAI (Portugal’s PRR), advancing robotics in domains like autonomous delivery and social robotics.
John Harrison KurunathanView profile
Researcher
John Harrison Kurunathan is an Integrated PhD Researcher affiliated with the CISTER Research Centre at the University of Porto, Portugal. He holds a PhD in Electrical and Computer Engineering (2021), a Master's in Very Large-Scale Integration (2014), and a Bachelor's in Electronics and Communication (2012). Education: PhD (2021) - University of Porto, Portugal MSc (2014) - SSN College of Engineering, Anna University BSc (2012) - SRM University His research focuses on Wireless Sensor Networks (WSNs) , Cyber-Physical Systems (CPS) , and Automotive Networks , with an emphasis on Quality-of-Service (QoS) optimization, secure communication, and vehicular platooning. Notable projects include SafeCOP for safety-related CO-CPS and work on IEEE 802.15.4e DSME networks. Recent publications (2023-2025) span areas like Visible Light Communication , Vehicular Security , and Machine Learning in UAV Operations , reflecting his interdisciplinary work bridging embedded systems and transportation technologies. Scientific Awards: Best oral communication Award (in ex aequo) at DCE 2019 Reviewing Roles: Conference: ICCPS, EWSN, MSN, RTN Journal: IEEE ACCESS, IEEE Transactions on Vehicular Technology, ACM Sigbed Harrison is actively involved in workshops and conferences, including chairing roles at WIN-WIN-4S 2024 and technical demonstrations at WoWMoM 2023. His work appears in venues like IEEE Transactions on ITS, IEEE COMST, and PDP 2025.
Karim R. LakhaniView profile
Professor
Professor Karim R. Lakhani is the Dorothy & Michael Hintze Professor of Business Administration at Harvard Business School (HBS), specializing in technology management, innovation, digital transformation, and AI. He leads initiatives like the Laboratory for Innovation Science at Harvard and co-founded the Digital, Data, and Design (D^3) Institute. His research explores open innovation, crowdsourcing, and AI-driven business models, with over 150 peer-reviewed publications. Lakhani holds a PhD from MIT and has taught in HBS's MBA, executive, and online programs. His work bridges academia and industry through partnerships with NASA, Harvard Medical School, and private firms. Education: PhD in Management, MIT SM in Technology and Policy, MIT Bachelor's in Electrical Engineering and Management, McMaster University Research Interests: Lakhani's work focuses on leveraging crowds, open-source communities, and contests to solve complex challenges. He explores how digital technologies reshape industries, emphasizing AI's role in redefining business models. His studies on innovation ecosystems and organizational behavior highlight strategies for competitive advantage in the age of AI. Key Contributions: He co-authored Competing in the Age of AI , a seminal work on AI-driven enterprise transformation. His research on blockchain and digital ubiquity has informed global business strategies. Lakhani's initiatives, including the NASA Tournament Lab, demonstrate practical applications of academic research in real-world innovation. Recognition: Aga Khan Foundation International Scholarship Doctoral Fellowship from Canada's Social Science and Humanities Research Council Advising & Grants: Lakhani advises executives on digital transformation through HBS programs like Competing with Big Data. His grants fund projects on AI ethics, innovation contests, and organizational learning. He has co-developed courses on digital strategy and innovation, blending theory with actionable insights. Labs & Teams: He leads the Crowd Innovation Lab and co-chairs HBS's Business Analytics Program. His collaborations span academia, government, and industry, fostering interdisciplinary problem-solving and scaling innovation.
Nuno GuimarãesView profile
Professor
Nuno Guimarães is a Full Professor at ISCTE – University Institute of Lisbon, affiliated with the Department of Information Science and Technology in the School of Technology and Architecture. He is also an Integrated Researcher at ISTAR-Iscte, where he leads the 'Digital Living Spaces' research group. He previously served as Dean of the Faculty of Sciences at the University of Lisbon (2003–2009), Pro-Rector (2012–2013), and Vice-Rector (2014–2018) at ISCTE-IUL, demonstrating extensive academic leadership. Aggregation in Computing, University of Lisbon (1999) PhD in Electrical and Computer Engineering, Instituto Superior Técnico, Technical University of Lisbon (1992) MSc in Electrical and Computer Engineering, Instituto Superior Técnico (1987) BSc in Electrical Engineering, Instituto Superior Técnico (1983) His research focuses on human-machine interaction, user experience, and the intersection of digital technologies with law, rights, and cultural diversity. He explores how technology can be designed to be more inclusive, ethical, and cognitively supportive, often using neurophysiological methods such as EEG to assess usability and mental workload. His recent publications (2024–2009) show a consistent trajectory in interdisciplinary research combining computer science, cognitive science, and legal informatics. Key themes include data privacy in microservices, normative systems in digital society, EEG-based usability analysis, and interactive learning environments. The works demonstrate a strong emphasis on practical tools, real-world applications, and the societal implications of digital technologies. ACM Senior Member (since 2012) Chair of the Board of ISOC (PT) (2021–2025) Guimarães has held numerous academic management roles, including Director of ISTAR-Iscte and the Master’s program in Information Systems Management. While no direct student advising list is provided, his extensive collaborations and leadership in research projects suggest active mentorship. His work bridges technical innovation with social responsibility, particularly in digital rights and inclusive design. He has led and contributed to research in areas such as interactive architecture, media façades, digital talking books, and judicial dialogue systems. His team, 'Digital Living Spaces,' focuses on creating intelligent, adaptive environments that respond to human behavior and cognitive states, integrating insights from architecture, computing, and neuroscience.
Pedro M. B. Silva GirãoView profile
Professor
Pedro M. B. Silva Girão is a Full Professor in the Department of Electrical Engineering at Instituto Superior Técnico (IST), University of Lisbon (UL), and a Senior Researcher at Instituto de Telecomunicações where he heads the Instrumentation and Measurements Group and coordinates the Basic Sciences and Enabling Technologies area. His dual institutional roles position him at the forefront of academic research and technological innovation in Portugal. His research program focuses on instrumentation, transducers, and measurement techniques with specialized applications in biomedical and environmental domains. Key interests include wireless sensor networks for health monitoring, metrology standards, and digital data processing methodologies. This work bridges engineering principles with real-world healthcare and ecological challenges, emphasizing practical implementations in diagnostic systems and environmental sensing. Analysis of his 2019-2024 publications reveals a strong thematic trajectory in IoT-enabled healthcare solutions and precision environmental monitoring. Recurring motifs include gait rehabilitation through mixed reality systems, advanced dosimetry for liver cancer radioembolization, microvascular reactivity assessment, and water quality sensor networks. His output demonstrates consistent interdisciplinary collaboration between engineering, medical, and environmental science communities. Dr. Girão's scientific recognition includes: IEEE Senior Member status IEEE IMS Distinguished Lecturer appointment Honorary Chairmanship of IMEKO TC19—Environmental Measurements As leader of the Instrumentation and Measurements Group at Instituto de Telecomunicações, he directs a multidisciplinary team developing next-generation measurement systems. Current initiatives integrate microwave Doppler radar, wearable biopotential sensors, and wireless networks for unobtrusive health monitoring and environmental assessment, with active partnerships across medical institutions and ecological agencies.
Kimin LeeView profile
Assistant Professor
Kimin Lee is an assistant professor at the Graduate School of AI at Korea Advanced Institute of Science and Technology (KAIST), where he focuses on developing safe and capable decision-making agents. His research spans multiple aspects of artificial intelligence with a strong emphasis on safety and reliability. Dr. Lee completed his educational journey at KAIST, earning a Ph.D. in Electrical Engineering with a focus on Machine/Deep Learning (2015-2020), advised by Professor Jinwoo Shin. He also holds a Master's degree in Electrical Engineering (Wireless Communication Networks, 2013-2015) and a Bachelor's degree in Electrical Engineering (2009-2013), both from KAIST. His primary research interests include: Physical AI - developing AI systems that can interact safely and effectively with the physical world Alignment - particularly reinforcement learning from human feedback (RLHF) and scalable oversight techniques Monitoring - safety evaluation frameworks and benchmarking for AI systems LLM Agents - enhancing the capabilities and safety of large language model-based agents Dr. Lee's recent publications reveal a strong trajectory toward addressing critical challenges in AI safety. His work consistently bridges theoretical advances with practical applications, particularly in the areas of reinforcement learning, computer vision, and natural language processing. A notable trend in his research is the development of methods to evaluate and enhance the safety of AI systems, especially large language models and diffusion models, while maintaining or improving their capabilities. As an active member of the academic community, Dr. Lee serves as an area chair for major conferences including NeurIPS, ICLR, and ICML, and regularly reviews for top-tier AI venues. He has also organized workshops focused on safe and trustworthy AI agents. Dr. Lee's research group at KAIST appears to focus on AI safety and decision-making, with research projects spanning from theoretical foundations to practical implementations of safe AI systems. His collaborative work with institutions like UC Berkeley and Google Research demonstrates the interdisciplinary nature of his research approach.
Manuel José Cabral dos Santos ReisView profile
Associate Professor
Manuel Reis is an Associate Professor with Agregação at the University of Trás-os-Montes e Alto Douro (UTAD), Portugal, in the Electrical Engineering Department. His research focuses on signal/image processing, smart environment systems, and multimedia education technologies. He is affiliated with the Institute of Electronics and Telematics Engineering of Aveiro (IEETA) and collaborates with Brazil's IFPA-Santarém in computing education research. Education: Bachelor's in Electrical Engineering (University of Trás-os-Montes e Alto Douro, 1991) Master's in Electronics and Telecommunications (University of Aveiro, 1996) PhD in Electrical Engineering (University of Aveiro, 2001) Research Interests: Signal & Image Processing Cybersecurity for IoT and Smart Environments Education Technology (e-learning, multimedia tools) 5G and Edge Computing Applications Artificial Intelligence in Agriculture and Healthcare Recent articles highlight his work on cybersecurity in connected vehicles, federated learning for IoT security, and IoT-based systems for drowsiness detection. He has contributed to projects involving smart city infrastructure, sustainable waste management, and low-cost biomedical devices. His educational research explores e-learning frameworks, student engagement metrics, and innovative teaching methodologies in engineering education. Lab/Affiliations: Institute of Electronics and Telematics Engineering of Aveiro (IEETA) Multidisciplinary Research Group IFPA-Santarém-Brazil (Computing in Education)
Luiz Felipe Rocha de FariaView profile
Senior Lecturer
Luiz Felipe Rocha de Faria is a Senior Lecturer at the Instituto Superior de Engenharia do Porto (ISEP), Instituto Politécnico do Porto, where he has served since 2020. His career spans over two decades in academic roles, including positions as Professor Adjunto (Assistant Professor) from 2010–2020 and earlier roles as a permanent lecturer. He holds a PhD in Electrical and Computer Engineering from Universidade do Porto (2002), a Master’s in the same field (1996), and a Licenciatura in Computer Engineering (1993). He is a founding member of e-IPP (eLearning Unit) and has led the Computer Engineering Department. His research focuses on Artificial Intelligence for Education and Power Systems , particularly through Adaptive Hypermedia , Intelligent Tutoring Systems , and Cyber-Physical Systems . He has contributed to projects like TINSEL (electrical installation design tutoring) and GECAD (intelligent systems for power grid control). A key theme in his work is User Modeling for personalized learning and Context Awareness in training environments. The 15 most recent articles highlight his expertise in adaptive educational technologies and power systems training . These works span from 2024 to 2010, with recurring subfields such as knowledge-based systems , user adaptation , intelligent alarm processing , and collaborative maintenance . His publications often integrate pedagogical modeling with real-time inference for complex systems. As a supervisor, Faria has mentored 10 MSc students and co-supervised 2 others, along with co-supervising 1 PhD thesis. He has participated in 32 research projects, including EU-funded initiatives like NORTEXCEL2020 and PIANiSM, focusing on medical devices , renewable energy integration , and smart education ecosystems . His current projects include the Lab Associate of Intelligent Systems (2021–2025) and HEIComp (2023–2025), addressing industry-academia alignment. He co-developed the PCMAT platform for mathematics education and TheRoute for tourism route customization. His work emphasizes practical implementation , collaborative learning , and decision support systems across engineering domains.
António Manuel de Bastos Pereira is a Full Professor at the Department of Mechanical Engineering, University of Aveiro, Portugal. He has held significant leadership roles including Director of the Master's program in Welding Engineering and Director of the Research Unit Centre for Mechanical Technology and Automation (TEMA) from 2015 to 2024. Under his leadership, TEMA was classified with the highest rating by FCT and included in the European network of Key Enabling Technologies institutions. Dr. Pereira's research focuses on materials science, particularly the study of materials from composites to metals. His work spans advanced manufacturing technologies, surface engineering, and mechanical characterization of materials. He has published 97 articles in SCI journals with 2140 citations and an h-index of 29 (Scopus), demonstrating significant impact in his field. His research has led to the development of over 500 industrial projects worth approximately 100 million euros. His recent publications reveal consistent research trends in materials characterization, advanced manufacturing processes, and sustainable engineering solutions. Key themes include laser processing of materials, welding technologies, composite materials, surface treatments, and thermal engineering applications. His work often combines experimental and numerical approaches to solve practical engineering challenges, with growing emphasis on sustainable manufacturing methods and energy efficiency. Dr. Pereira has supervised numerous graduate students across various mechanical engineering topics, particularly in welding, materials processing, and mechanical design. He has been Principal Investigator for 39 scientific research projects and collaborated in 68 projects total, securing significant research funding. His project portfolio includes national and European initiatives focused on sustainable manufacturing, advanced materials, and innovative industrial processes. As Director of TEMA, he coordinated over 100 researchers within the Research Unit Centre for Mechanical Technology and Automation. TEMA is included in the "Portuguese Roadmap of Research Infrastructures of Strategic Relevance" and was selected to be part of the European network of institutions relevant within Key Enabling Technologies (KETs). Dr. Pereira also coordinated the thematic line "Innovative and Sustainable Industries" of LASI, Portugal's largest associated laboratory with around 500 PhD researchers. His leadership has positioned these research units as key players in technology transfer to small and medium enterprises across Portugal.
Helder AraujoView profile
Professor
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 .