Find Academic Supervisors

• Corporate Finance
• Labor Economics
• Organizational Economics
• +3 more

Rui Silva is an Associate Professor with Tenure at the Nova School of Business and Economics (Universidade Nova de Lisboa), holding the Haddad Chair in Entrepreneurship. He previously served as an Assistant Professor of Finance at the London Business School. His academic affiliations include a Research Affiliate role at the Centre for Economic Policy Research (CEPR). **Education:** PhD in Economics, University of Chicago (2012) MA in Economics, University of Chicago (2008) Bachelor's in Economics, Nova University of Lisbon (2004) **Research Focus:** Rui’s work bridges corporate finance, labor economics, and organizational economics. Key themes include corporate governance, innovation dynamics, and the interplay between financial distress and labor markets. His recent studies explore mergers’ mental health impacts on employees, bankruptcy’s legal-economic implications, and institutional drivers of innovation. **Awards & Grants:** No explicit awards are mentioned, though his Haddad Chair indicates recognition in entrepreneurship. His research has been supported by institutions like CEPR and through collaborative projects. **Advising & Teams:** While no advisees are listed, his work involves interdisciplinary collaborations with scholars like Ramin Baghai (University of Chicago) and Viktor Thell (Lund University). **Labs & Platforms:** He contributes to the Finance Knowledge Center at Nova School, focusing on entrepreneurial finance and policy-relevant research. His work integrates methodologies from decision science and simulation modeling to address industrial and organizational challenges.

Pedro U. LimaView profile

Professor

• Robotics
• Multi-Robot Systems
• Autonomous Systems
• +4 more

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.

• Condensed Matter Physics
• Materials Discovery
• Ab Initio Calculations
• +4 more

Fernando Manuel da Silva Nogueira is an Associate Professor at the Department of Physics, Faculty of Sciences and Technology, University of Coimbra. He holds a PhD in Theoretical Physics from the same institution (1999) and has been a faculty member since 1990. His research focuses on materials discovery using ab-initio methods , computational physics, and development of scientific software tools like Octopus and APE . He leads the Condensed Matter Physics group at CFisUC (Centro de Física da Universidade de Coimbra) and has been Director of the Portuguese Physics Olympiad (2007-2018). Education: PhD in Theoretical Physics (1999), University of Coimbra MSc in Theoretical Physics (1993), University of Coimbra BSc in Physics (1990), University of Coimbra Research interests include computational materials science , nonlinear optics , density functional theory , and electronic structure calculations . He has authored 40+ peer-reviewed articles, 3 books, and directed over 25 research projects. His work spans topics like carbon nanotube properties, firefly bioluminescence mechanisms, and high-throughput materials discovery. He has organized 25+ conferences, advised 3 PhD students and 17 MSc students, and contributed extensively to open-source computational physics software. His ORCID is 0000-0003-3125-3660 .

• Wireless Sensor Networks
• Cyber-Physical Systems
• Network Protocols
• +3 more

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.

• Machine Learning
• Molecular Modeling
• Drug Discovery
• +4 more

Sungsoo Ahn is an Assistant Professor at the Graduate School of AI, KAIST, where he leads the Structured and Probabilistic Machine Learning (SPML) Lab. His research focuses on developing machine learning algorithms for molecular science, particularly in drug discovery, material design, and generative modeling. He directs a team of 13 researchers (including 2 post-docs and 11 students) and maintains collaborations with institutions like Mila and industry partners. His core research integrates probabilistic machine learning , generative models , and AI for science , with applications spanning molecular dynamics simulation, language model reasoning, combinatorial optimization, and graph neural networks. Key methodologies include flow matching, diffusion models, GFlowNets, and equivariant neural networks applied to chemical and biological domains. Recent publications (2023–2025) demonstrate strong emphases on: (1) Molecular generation/optimization for drug design, (2) Enhancing reliability and reasoning in large language models, (3) Graph-based machine learning for scientific discovery, and (4) Efficient training paradigms for generative samplers. These appear predominantly in NeurIPS, ICML, ICLR, and ACL. He advises multiple PhD/master's students and post-doctoral researchers in the SPML Lab. Current research directions include torsion-aware molecular generation, causal AI safety, neural operators for quantum chemistry, and multi-agent systems for molecular optimization.

Francisco Correia dos SantosView profile

Professor

• Computer Science
• Evolutionary Biology
• Economics
• +10 more

Francisco C. Santos is a Full Professor at Instituto Superior Técnico (IST), University of Lisbon, and currently serves as Vice-President of the Portuguese Science Foundation (FCT). He holds a PhD in Computer Science from Université Libre de Bruxelles (ULB), Belgium, where he was a Marie Curie Fellow. His research spans computer science, evolutionary biology, economics, and physics, focusing on cooperation dynamics, environmental governance, network science, and AI's societal impact. He leads the GAIPS and ATP research groups at INESC-ID, Lisbon. Education PhD in Computer Science, Université Libre de Bruxelles (ULB), Belgium (Marie Curie Fellowship) FNRS Senior Researcher at ULB's Machine Learning Group Research Interests His work bridges AI, complex systems, and social dynamics. Key areas include: - Evolution of cooperation and social norms - Climate governance and collective-risk dilemmas - Network science and urban planning - Machine learning and robotics applications Awards Young Scientist Award (German Physical Society) CGD/ULisbon Prize in Computer Science AAAI Blue Sky Award IST Teaching Excellence Awards (multiple) Advising & Grants Supervised over 30 PhD and MSc students, many of whom have gone on to prestigious postdocs and academic roles. Co-headed research groups and led projects funded by FCT-Portugal and EU initiatives. Labs & Teams Leads the Group of Artificial Intelligence for People and Society (GAIPS) and the ATP interdisciplinary group at INESC-ID. Collaborates internationally on AI ethics and environmental policy.

• Artificial Intelligence
• Educational Technology
• Power Systems
• +6 more

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.

• Food Science
• Biotechnology
• Food Engineering
• +5 more

Cristina L. M. Silva is an Associate Professor at the Escola Superior de Biotechnology within Universidade Católica Portuguesa . She specializes in Food Science and Engineering with a focus on modeling and optimization of food processes , sustainable food systems , and preservation technologies like ultrasound, ozone, and UV-C radiation. Her work extends to by-product valorization , particularly in fruit and vegetable processing. She was elected a Fellow of the International Academy of Food Science and Technology (IAFoST) in 2022, reflecting her global leadership in food engineering education. She chairs the IUFoST Education Working Group 1.2 and serves on the advisory board of the ISEKI-Food International Association . Additionally, she is editor-in-chief of the International Journal of Food Studies and associate editor for multiple journals. Research Interests: Food process modeling, sustainable technologies, microbial safety, by-product valorization, and educational innovation in food science. Leadership: Deputy Director for Internationalization at ESB; led the CBQF Food Processing Engineering lab . Scientific Awards: IAFoST Fellow (2022).

João GuerreiroView profile

Visiting Assistant Professor

• Marketing
• Decision Support Systems
• Neuroscience Applied to Marketing
• +4 more

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.

Francisco Almeida MaiaView profile

Researcher

• Distributed Systems
• Cloud Computing
• Large Scale Data Management
• +3 more

Francisco Almeida Maia is a Senior Researcher at HASLab (High Assurance Lab) affiliated with the University of Minho and INESC TEC. His research focuses on distributed systems, cloud computing, large-scale data management, and gossip-based protocols. He holds a Ph.D. in Computer Science from the MAP-i Doctoral Program (Universities of Minho, Aveiro, and Porto, 2015), advised by Professor Rui Oliveira. His doctoral work introduced DataFlasks, a scalable and resilient data store for large-scale systems using gossip protocols. Current research explores enhancing DataFlasks’ guarantees while maintaining scalability. Education: Ph.D. in Computer Science, MAP-i Doctoral Program (2015) Research Interests: Distributed systems security, privacy-aware cloud storage, scalable data architectures, and fault-tolerant protocols. Recent work emphasizes secure multi-cloud databases and distributed system testing frameworks. Publications: Focus on scalable systems, privacy in distributed environments, and testing methodologies. Notable contributions include d'Artagnan (secure NoSQL on untrusted clouds) and Minha (large-scale distributed testing). Advising & Grants: Supervised two theses at INESC TEC. Active in collaborative projects on distributed systems and security. Labs/Teams: Core member of HASLab, contributing to interdisciplinary research on high-assurance software and distributed computing.

Dirk HofmannView profile

Associate Professor

• Categorical Methods
• Algebra
• Topology
• +3 more

Dirk Hofmann is an Associate Professor in the Department of Mathematics at the University of Aveiro. His research focuses on categorical methods in Mathematics, particularly in Algebra and Topology, with applications to foundational structures in these fields. He has been actively involved in organizing major conferences, including Category Theory 2015 (CT2015) at the University of Aveiro, celebrating the 50th anniversary of international category theory meetings. As an Editor of Theory and Applications of Categories and Honorary Associate Editor of Categories and General Algebraic Structures with Applications , Hofmann contributes significantly to the dissemination of categorical research. His work bridges abstract algebraic concepts with topological frameworks, emphasizing enriched category theory, duality principles, and coalgebraic structures. Notable areas include quantale-enriched categories, categorical dualities, and lax extensions. Hofmann frequently collaborates with international researchers, as evidenced by co-authored publications with figures like Sergey Goncharov and Pedro Nora. Key contributions include advancements in V-normed categories, categorical approaches to behavioral distances, and topological coalgebras. His editorial roles and conference organization reflect his commitment to fostering collaboration and innovation within the category theory community.

Alexandra Bugalho De MouraView profile

Associate Professor

• Actuarial Science
• Optimal Reinsurance
• Climate Risk Analysis
• +3 more

Alexandra Bugalho De Moura is an Associate Professor of Statistics and Actuarial Sciences at the Department of Mathematics, ISEG-University of Lisbon. She coordinates curricular units in Actuarial Sciences, Statistics, and Data Analysis, and leads the Master's in Actuarial Sciences program. Her academic journey includes a PhD in Mathematical Engineering from Politecnico di Milano (2007), a BSc in Applied Mathematics and Computing from IST, University of Lisbon (2001), and a Master’s in Actuarial Sciences from ISEG (2018). Her research focuses on actuarial sciences, particularly optimal reinsurance with dependencies, and climate risk analysis using climate and insurance loss data. Previously, she contributed to computational hemodynamics modeling cerebral aneurysms and blood flow dynamics. She has led an FCT-funded project on optimal reinsurance and supervised over 30 master’s theses in actuarial risk theory and data science applications. Professional experience includes roles as Post-Doctoral Fellow at CEMAT (2007–2014) and teaching positions since 2000. She has published extensively in top journals like European Actuarial Journal and Computer Methods in Biomechanics and Biomedical Engineering , with over 20 peer-reviewed articles and book chapters. Her work bridges mathematical rigor with practical applications in insurance risk modeling, climate-related financial risks, and biomedical engineering. Current research explores dependencies in reinsurance treaties and climate-driven insurance loss patterns.

• Computer Vision
• Pattern Recognition
• Facial Analysis
• +5 more

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.

• Agent-Based Modeling
• Social Simulation
• Computational Ethics
• +10 more

Nuno David is an Associate Professor at ISCTE - Instituto Universitário de Lisboa, affiliated with the Department of Information Science and Technology within the School of Technologies and Architecture. He is also an Integrated Researcher at DINÂMIA'CET-Iscte, focusing on socioeconomic change and territory. He serves as the Data Protection Officer at Iscte and chairs the Ethics Committee of the School of Technologies and Architecture, while also being a member of the university-wide Ethics Council. PhD in Computing, Faculty of Sciences, University of Lisbon (2005) Master's degree in Agent-Based Social Simulation, University of Lisbon Undergraduate degree in Electrical Engineering – Computer Science, University of Coimbra His research spans agent-based modeling , social simulation , computational ethics , privacy , and the philosophy of computer science , with a focus on the epistemology of computational social science. He investigates how computational methods influence social science theories and methodologies. His recent publications highlight a consistent focus on ethical dimensions of simulation, disaster response modeling (e.g., tsunami evacuation), and digital governance. Articles frequently appear in high-impact journals such as Journal of Artificial Societies and Social Simulation , AI & Society , and Geosciences , reflecting interdisciplinary engagement across computer science, social sciences, and ethics. Member, Ethics Committee, ISCTE (2020–2026) Data Protection Officer, ISCTE (since 2018) Coordinator, multiple ethics and cybersecurity courses in Master’s and Bachelor’s programs Nuno David leads and participates in significant research initiatives, including the Research Data Management Center for SSH (RDMC-SSH) and the Re.Data network , both focused on research data infrastructure. He is also involved in the EU-funded ManagiDiTH master’s program, aimed at digital transformation in healthcare. His work integrates academic research with practical policy and institutional governance, particularly in data protection and research ethics. He has contributed to multiple projects on e-government in developing contexts, especially in Mozambique, and has developed tools for analyzing academic collaboration networks. His teaching includes courses on simulation, programming, and professional ethics in computing.

• Human-Computer Interaction
• Digital Multimedia
• Computer Games
• +7 more

Pedro Faria Lopes is an Associate Professor at the Department of Information Science and Technology (ISTA), School of Technologies and Architecture, ISCTE – Instituto Universitário de Lisboa. He is also an Associate Researcher at ISTAR-Iscte, contributing to the Digital Living Spaces research group. His academic roles involve teaching and supervising students in digital multimedia, human-computer interaction, and game design. His educational background includes: PhD in Electrical and Computer Engineering, Higher Technical Institute - UTL (1996) Master's degree in Electrical and Computer Engineering, Higher Technical Institute - UTL (1989) Bachelor's degree in Electrical Engineering, Higher Technical Institute - UTL (1985) Pedro Faria Lopes's research interests focus on digital multimedia, human-computer interaction, computer games, sound and video for multimedia, computer animation, and digital content creation for lifelong and e-learning contexts. His work bridges technology and education, emphasizing interactive and engaging digital experiences. He has contributed extensively to the development of serious games, multimedia applications, and educational technologies. His recent publications highlight trends in educational video games, procedural content generation, interactive storytelling, and digital inclusion through mobile applications. These works reflect a strong commitment to applying computing technologies in educational, social, and cultural domains, particularly through game-based learning and accessible design. He has supervised numerous graduate students, with 15 completed and 3 ongoing Master’s dissertations, as well as 1 completed and 1 ongoing doctoral theses, primarily at ISCTE. His teaching activities include courses such as: Human-Computer Interaction Digital Game Design and Production Sound, Video and Digital Content Authoring Visualization and Human-Computer Interaction Multimedia Management Although no specific scientific awards are listed in the provided text, his sustained research output and academic leadership suggest recognition within his fields. His work in digital living spaces and educational technologies indicates active engagement in interdisciplinary research projects.