Find Academic Supervisors

• Complex Systems
• Computational Modeling
• Network Science
• +7 more

Jorge Louçã is a Full Professor in the Department of Information Science and Technology at ISCTE-IUL, where he has been a faculty member since 2000. He is also an Integrated Researcher at ISTAR-Iscte, the Research Center in Information Sciences, Technologies and Architecture, and leads the research group The Observatorium . He holds a PhD in Computer Science and Artificial Intelligence from Université Paris Dauphine and the University of Lisbon, and completed his Aggregation in Complexity Sciences in 2019. PhD in Computing – University of Lisbon & Université Paris-Dauphine (2000) Master’s in Informatique: Intelligent Systems – Université Paris-Dauphine (1995) Aggregation in Complexity Sciences – ISCTE-IUL (2019) His research centers on computational modeling of social systems, focusing on data-intensive analysis of human communication, knowledge generation in large networks, and the dynamics of complex systems. He founded the Doctoral Program in Complexity Sciences and has been instrumental in advancing the field through international collaborations such as the UNESCO Unitwin network for the Complex Systems Digital Campus and participation in the Conference on Complex Systems (CCS/ECCS). The recent publications highlight a strong interdisciplinary focus, combining network science, data analysis, and social theory. Key themes include the modeling of malaria transmission, information diffusion in social media, structural inequality in education, and the dynamics of opinion and popularity. His work often employs agent-based models, temporal network analysis, and entropy-based measures, reflecting a deep integration of computational and theoretical approaches. Research Methods for Doctorate in Complexity Sciences Advanced Topics in Complexity Sciences Data Science Fundamentals Development for the Internet and Mobile Applications Web Interfaces for Data Management Advanced Network Analysis Jorge Louçã has supervised over a dozen doctoral and master’s students, with completed theses on topics such as malaria modeling, information diffusion, temporal networks, and social inequality. His research has been supported by projects like NESS (Non-Equilibrium Social Science in ICT and Economics), reflecting his leadership in interdisciplinary science. He has held significant academic management roles, including Director of the Department of Information Science and Technology and head of multiple degree programs. His work continues to bridge computer science, social science, and policy, positioning him as a key figure in the global complexity science community.

• Economic Growth Models
• Optimal Control Theory
• Differential Equations
• +3 more

Fatima Fabião is an Assistant Professor at the Lisbon School of Economics and Management (ISEG), University of Lisbon, where she has been affiliated since 1990. Her work bridges mathematical methodologies with economic and financial theory, focusing on growth models, optimal control, and differential equations. She teaches courses in mathematical analysis, difference equations, and complex equations in economics and management programs. Affiliations: ISEG – University of Lisbon (since 1990) Roles: Course coordinator for key subjects like Mathematical Analysis III and Difference Equations Her research explores economic growth dynamics through modified Solow models incorporating time delays, optimal resource extraction strategies via control theory, and financial applications of Black-Scholes equations. She has also contributed to pedagogical innovations integrating mathematical logic into primary education.

Pedro Marques Quinteiro Fernandes da SilvaView profile

Associate Professor

• Leadership in Extreme Environments
• Teamwork Dynamics
• Complex Adaptive Systems
• +3 more

Pedro Marques-Quinteiro is an Associate Professor at the School of Economic Sciences and Organizations (ECEO), Universidade Lusófona. He holds a PhD in Human Resources Management and Development from ISCTE-Instituto Universitário de Lisboa. His research focuses on leadership and teamwork dynamics in extreme environments such as healthcare, firefighting, and polar regions, treating small groups as complex adaptive systems. Education: PhD in Human Resources Management and Development, ISCTE- Instituto Universitário de Lisboa Research Interests: Leadership in high-stress environments Team adaptability and decision-making in virtual teams Nonlinear dynamics of team performance Psychological adaptation in extreme conditions Grants & Projects: A Social Network Approach to Human Dynamics in Extreme Work Environments (ESA-funded) Adaptation dynamics in Antarctica teams (Portuguese Polar Program) He has led two scientific expeditions to King George Island (Antarctica) and his work has been featured in the Wall Street Journal and Diário de Notícias. He serves as Board Member of the TRIE Center and Associate Editor at the Spanish Journal of Psychology.

Carlos BaleisaoView profile

Associate Professor

• Nanotechnology
• Materials Science
• Bioimaging
• +5 more

Carlos Baleisao is an Associate Professor at the Department of Chemical Engineering, Instituto Superior Técnico, University of Lisbon. He also serves as Coordinator of the Master in Molecular Science and Engineering and leads the 'Functional Materials Chemistry' thematic line at the Centro de Química Estrutural. His research focuses on hybrid silica nanoparticles, photoactive frameworks, and optical sensors, with applications in nanomedicine, energy storage, and bioimaging. He holds multiple awards, including the 'Excellent Professor' title from the IST Pedagogical Council (2015–2024) and the Portuguese Award for Best Young Organic Chemist (2015). Education: PhD in Chemistry (2004) from Technical University of Lisbon, focusing on nanostructured hybrid materials for asymmetric catalysis. Professional roles include Principal Researcher under FCT programs and international post-doctoral fellowships. He leads research projects funded by NIH (USA) and FCT-Portugal, focusing on nanomaterials for energy storage and biomedical applications. Research interests span mesoporous silica nanoparticles for drug delivery, organic semiconductors for photovoltaics, and pH-responsive polymers. He supervises multiple PhD/MSc students and collaborates with institutions globally. His work integrates materials science, chemistry, and engineering to address challenges in healthcare and sustainability. Awards and recognitions highlight his academic excellence and contributions to nanotechnology. He actively participates in conferences and editorial boards, including co-chairing international meetings like Sol-Gel 2026 and MATERIAIS 2025.

• Nonlinear Optimization
• Derivative-free Optimization
• Multiobjective Optimization
• +3 more

Ana Luísa Custódio is an Associate Professor (with tenure) at the Department of Mathematics, Nova School of Science and Technology, Nova University of Lisbon. She is a researcher at the Centre for Mathematics and Applications (NOVA Math), part of the Operations Research group. Currently, she serves as Coordinator of NOVA Math and as an Associate Editor for the Journal of Optimization Theory and Applications and Optimization Methods and Software . Her educational background includes a PhD in Mathematics (Nova School of Science and Technology), an MSc in Operations Research and Systems Engineering (Instituto Superior Técnico), and a BSc in Mathematics (Nova School of Science and Technology). Her research focuses on Nonlinear Optimization, particularly Derivative-free Optimization, alongside contributions to Multiobjective and Global Optimization. She has developed state-of-the-art computational codes as part of her research. She actively participates in scientific projects and has contributed to educational resources such as problems collections and classes. No specific scientific awards are listed in the provided information. Her work includes collaborations on computational tools and editorial roles, reflecting her leadership in the field of mathematical optimization.

Giuseppe NegroView profile

Researcher

• Harmonic Analysis
• Partial Differential Equations
• Fourier Analysis
• +3 more

Giuseppe Negro is an FCT Researcher at the Center for Mathematical Analysis, Geometry, and Dynamical Systems (CAMGSD) at Instituto Superior Técnico in Lisbon. He holds a PhD from the joint program of Sorbonne Paris Nord and ICMAT-Universidad Autónoma de Madrid, under advisors Thomas Duyckaerts and Keith Rogers. His research focuses on harmonic analysis and partial differential equations, with a particular emphasis on Fourier restriction inequalities, wave equations, and functional inequalities. He has organized international conferences such as the Harmonic Analysis session at IWOTA 2025 and the Harmonic Analysis and PDEs Meeting of the London Mathematical Society. He currently supervises Master’s student David Afonso and has mentored interns like T. Fischer and P. Martins. His work bridges theoretical analysis with applied mathematics, addressing problems in geometric analysis and mathematical physics. Education: PhD: Sorbonne Paris Nord and ICMAT-Universidad Autónoma de Madrid (2020) Previous roles: Postdoctoral Researcher at Basque Center for Applied Mathematics (BCAM), Research Fellow at University of Birmingham, and Invited Assistant Professor at CAMGSD. Research Interests: Harmonic analysis, Fourier restriction theory, nonlinear dispersive equations, functional inequalities, and their applications to mathematical physics. Giuseppe has authored over a dozen peer-reviewed articles, including works on sharp Fourier extension inequalities and global solutions to cubic wave equations. His outreach efforts include co-authoring educational articles for Oberwolfach Snapshots and a Spanish-language interview on cardiovascular disease modeling.

Pedro AlmeidaView profile

Assistant Professor

• Low-Temperature Plasma Physics
• Corona and Streamer Discharges
• Self-Organization Patterns
• +4 more

Pedro Almeida is an Assistant Professor with Agregação at the University of Madeira, where he leads the High Pressure Plasmas Group at Instituto de Plasmas e Fusão Nuclear (IPFN). He also serves as Vice-President of the Faculty of Exact Sciences and Engineering and as a member of the IPFN Administration Board. His academic career spans roles from Scientific Initiation Fellow (2000) to Assistant Professor with Agregação (2023). BSc in Physics (2001, University of Madeira) MSc-equivalent: Provas de Aptidão Pedagógica e Capacidade Científica (2006, University of Madeira) PhD in Physics (2011, University of Madeira) Agregação (2023, University of Madeira) Almeida’s research focuses on plasma discharges , particularly corona/streamer discharges , self-organized cathode spots , and breakdown phenomena in gases and vacuum. His work combines theoretical modeling with computational tools like COMSOL Multiphysics to study discharge stability and applications in energy systems. His 15 most recent publications (2025-2017) emphasize numerical simulations of low-current discharges , self-organization , and electric field dynamics . Key themes include corona stability , cathode spot prevention , and validation of theoretical criteria for discharge ignition. He has participated in research projects funded by FCT , Siemens Corporate Research , and European Union programs like COST and ERDF. Notably, he led the PlasMa project (2019-2021) as Principal Researcher and contributed to industrial modeling for high-voltage systems.

• Macroeconomics
• Fiscal Policy
• Monetary Policy
• +5 more

Vivaldo Manuel Pereira Mendes is an Associate Professor in the Department of Economics at the University Institute of Lisbon (ISCTE-IUL), where he has been teaching since 1998. He is also an Affiliate Member of BRU-Iscte - Business Research Unit within the Institute of Social Sciences and Business Studies. His educational background includes a PhD in Economics from the University of Sussex (1998), a Master's degree in Economics from the University of Sussex (1991), and a Bachelor's degree in Economics from the Higher Institute of Economics and Management - UTL (1987). Mendes has held significant university leadership positions including Vice-Rector (2005-2009), President of the General Assembly (2002-2005), and Director of the Department of Economics (2010-2014). He has taught diverse courses spanning macroeconomics, microeconomics, game theory, monetary economics, and computational economics. His research portfolio demonstrates a clear evolution from theoretical macroeconomics and monetary policy toward computational economics and machine learning applications. Recent publications (2019-2024) show a strong focus on applying deep learning techniques to financial forecasting, particularly examining how data frequency impacts prediction accuracy across global markets. Mendes has published in high-impact journals including Physica A (Q1), European Physical Journal B (Q1), and Economics Bulletin (Q2), with his 2005 paper on controlling chaotic dynamics in economic models receiving 23 Google Scholar citations. He has also contributed to book chapters on spatial econometrics and optimal monetary policy. A committed advocate of open-source software, Mendes actively contributes to the Julia programming language community and maintains a personal website showcasing his academic work and computational projects.

Abi AdamsView profile

Research Fellow

• Labor Economics
• Public Policy
• Development Economics
• +4 more

Dr. Abi Adams is a Research Fellow at the Institute for Fiscal Studies (IFS), specializing in applied microeconomics with expertise in labor markets, household decision-making, and development economics. Her rigorous empirical work combines revealed preference methodologies with experimental approaches to analyze critical policy issues including marriage markets, education incentives, and poverty measurement. Her research spans Labor Economics , Behavioral Microeconomics , and Public Policy Analysis , with notable contributions to understanding: Marriage market dynamics and educational attainment in developing contexts Time inconsistency in household consumption decisions Consumer consideration sets and demand responsiveness Intergenerational transfer motivations Poverty measurement methodologies accounting for differential inflation Dr. Adams' publication record demonstrates consistent methodological innovation, particularly in adapting revealed preference frameworks to complex decision environments involving subjective beliefs and heterogeneous preferences. Her work frequently employs discrete choice experiments, hypothetical vignettes, and nonparametric estimation techniques to address identification challenges in field settings. She received the ESRC Outstanding Impact in Public Policy award in 2018 for research that directly contributed to the UK Supreme Court's unanimous ruling against employment tribunal fees. This landmark policy impact highlights the real-world significance of her empirical work on labor market institutions. Her research has been published in top economics journals including The Quarterly Journal of Economics , with additional working papers through IFS and collaborations on poverty measurement affecting official statistical methodologies.

• Artificial Intelligence
• Interactive Storytelling
• Games
• +2 more

Edirlei Everson Soares de Lima is an Assistant Professor at Universidade Europeia – IADE, where he coordinates the Games Development course. His research intersects Artificial Intelligence , Interactive Storytelling , and Game Design , focusing on adaptive narratives and player modeling. Ph.D. in Computer Science, Pontifical Catholic University of Rio de Janeiro (PUC-Rio) M.Sc. in Computer Science, Federal University of Santa Maria (UFSM) B.Sc. in Computer Science, Contestado University (UnC) His research explores Interactive Narratives in digital entertainment, spanning from game AI to virtual reality horror mechanics. Recent work emphasizes Machine Learning for fear modeling and Procedural Content Generation in quests. Publications and teaching roles since 2011 reflect expertise in Game Programming , Player Experience , and Computer Graphics , with notable awards including multiple SBGames Best Paper accolades and ITU honors. Best paper awards at SBGames (2016–2020), ICEC (2015), WebMedia (2014) ITU Honorable Mentions: 'Innovation' (2011), 'Interactivity' (2012) SBGames 2010: Best game and honorable mentions for 'Krimson' He has supervised multiple Master’s students in projects related to Interactive Design , Game Technology , and Narrative Systems , with over a decade of teaching experience across institutions like PUC-Rio and UERJ/IPRJ.

• Systems Engineering
• Optimization
• Operational Research
• +3 more

Ana Maria Alves Coutinho Rocha is an Associate Professor at the Department of Production and Systems (DPS), School of Engineering, University of Minho. She is also a Senior Researcher with PhD at Centro ALGORITMI and serves as the coordinator of the Systems Engineering and Operational Research (SEOR) research group. Her academic career spans over two decades at the University of Minho, where she has made significant contributions to both teaching and research. Her educational background includes: PhD in Production and Systems Engineering from the University of Minho (2005) Master's degree in Computer Engineering from the University of Minho (1997) Degree in Systems and Computer Engineering from the University of Minho (1993) Ana Maria's research primarily focuses on Systems Engineering, Optimization, and Operational Research. Her specific interests include Global optimization, Nonlinear optimization, and mixed-integer programming. She has made substantial contributions to developing optimization algorithms and applying them to various real-world problems including healthcare optimization, firefighting resource allocation, and additive manufacturing. Her work bridges theoretical advances in optimization with practical applications across multiple domains. Her recent publications demonstrate a strong trend toward applying optimization techniques to healthcare systems, emergency response, and educational technologies. She has published extensively on multi-objective clustering algorithms, firefighting resource optimization, and home healthcare management. Her work increasingly integrates machine learning with traditional optimization methods, reflecting the evolving landscape of computational intelligence. Her scientific achievements have been recognized with prestigious awards: Honorable Mention for the Isabel Themido Prize (2015) Isabel Themido Prize (2017) Ana Maria has supervised or co-supervised 4 doctoral theses and currently has 2 doctoral students in progress. She is also supervising 1 post-doctoral student and has guided numerous master's students in data analysis and optimization. She has participated in 6 research projects, serving as co-principal investigator for one of them, and has supervised several research grants. Her collaborative network spans over 200 researchers worldwide. She leads the Systems Engineering and Operational Research (SEOR) research group at the ALGORITMI Research Centre, which focuses on developing advanced optimization methodologies and applying them to industrial and societal challenges. Her team works on both theoretical advances in global optimization algorithms and practical implementations in areas like healthcare, emergency management, and manufacturing.

• Smart Grids
• Energy Communities
• Data Mining Applications in Power Systems
• +7 more

Sérgio Filipe Carvalho Ramos serves as Coordinator Professor at the School of Engineering (ISEP) of the Polytechnic Institute of Porto (IPP), where he has held academic positions since 2001. Since 2021, he directs the Bachelor Program in Electrical Engineering - Electrical Power Systems and previously served as deputy director of the Electrical Engineering Department (2018-2020). He maintains active research collaborations with international institutions including Universidade de Vigo and Universidade da Coruña in Spain, and UNESP in Brazil. His educational background includes a PhD (2015) and MSc (2006) in Electrical and Computer Engineering from the University of Lisbon - IST. His research focuses on smart grids, energy communities, data mining applications in power systems, and renewable energy optimization . He has pioneered work in smart buildings optimization, shared PV generation, and flexible power contracts through significant R&D projects. The analysis of his recent publications reveals strong trends in energy community modeling , with 8 of the 15 most recent papers addressing peer-to-peer energy sharing, community optimization, and local market design. His work increasingly integrates machine learning for forecasting (particularly for EV integration and PV generation) and employs advanced optimization techniques including game theory and MBNLP methods. The research consistently targets practical implementation in smart grid contexts with emphasis on real-world applicability. Premio REN 2008 Scientific Publication Merit from IPP (2011, 2015, 2023) Ramos has supervised 2 PhD students (ongoing), 29 MSc, 6 ERASMUS, and 116 BSc students. His grant portfolio demonstrates exceptional success in securing competitive funding, including FCT projects BENEFICE and SPET as PI/Co-PI, the EU-funded SATCOMM project coordinating Atlantic energy pilots, and multiple Honda Research Institute consultancies. His research group has successfully coordinated over 20 national and international R&D projects with total funding exceeding €5M. As a core researcher in the GECAD research group, he leads initiatives in smart buildings and energy communities. He serves as General Secretary for IPP at ATHENA European University and participates in the CARPE Network's Sustainable and Smart Cities working group, demonstrating institutional leadership beyond his departmental responsibilities.

Susana FidalgoView profile

Professor

• Foreign Language Teaching
• Multilingual Education
• Curriculum Articulation
• +7 more

Susana Fidalgo is a Coordinating Professor at the Polytechnic Institute of Viseu School of Education of Viseu, where she serves as Vice-President of the Organic Unit and Coordinator of the Foreign Languages Disciplinary Area. Her academic career spans over three decades with progressive roles from Assistant to Coordinating Professor since 1984. PhD in Didactics (2006), University of Aveiro Master's in Educational Sciences (1990), University of Aveiro Bachelor's in Modern Languages and Literatures (1983), University of Lisbon Her research focuses on foreign language teaching methodologies, particularly English as a Foreign Language (EFL), with emphasis on curriculum articulation between educational stages, multilingualism, and the integration of digital tools in language acquisition. She investigates how language skills impact employability and economic competitiveness, especially in the Viseu region of Portugal. Her publication trends reveal consistent focus on multimodal creativity in language teaching, with recent work exploring serious games, digital storytelling, and nonlinear narratives for enhancing foreign language learning in higher education. Her JASM project (2019-2021) represents a significant contribution to multimodal language teaching innovation. Susana actively contributes to educational policy through her role as coordinator of Scientific-Pedagogical Teams for English textbook evaluation across multiple educational cycles in Portugal's basic education system. Member of CI&DEI (Center for Studies in Education and Innovation) since 2017 Coordinator of Master's programs in English Teaching (2015-2021) Principal investigator in 7 research projects including JASM, Viseu-Educa, and APSASeG

Sandra C. VazView profile

Assistant Professor

• Mathematical Modeling
• Dynamical Systems
• Epidemiology
• +3 more

Sandra C. Vaz serves as an Assistant Professor in the Department of Mathematics at the University of Beira Interior (UBI), Portugal, teaching core undergraduate courses including Probabilities and Statistics, Calculus II, and Quantitative Methods. Her academic profile remains active with 2025 course listings and recent scholarly contributions through 2023. Her research program bridges theoretical and applied mathematics, emphasizing Mathematical Modeling of infectious disease dynamics and Dynamical Systems theory. Key focus areas include discrete-time compartmental models for epidemiological forecasting, stability analysis of nonlinear systems, and number-theoretic applications in beta-transformations. This dual trajectory reflects both practical public health engagement and foundational mathematical inquiry. Analysis of her 2021-2023 publications reveals concentrated expertise in mathematical epidemiology, particularly discrete-time modeling frameworks for HIV immune response dynamics and Portugal-specific COVID-19 transmission patterns. Concurrently, she maintains theoretical work on Pisot numbers and symbolic dynamics, demonstrating sustained contribution to both applied and pure mathematics domains. No scientific awards are documented in the current profile. Dr. Vaz has participated in research projects including the completed grant 'Sistemas Dinâmicos Discretos de Baixa Dimensão e de Dimensão Infinita' (POCI/MAT/60380/2004), often collaborating with Delfim F. M. Torres. While her Ciência Vitae profile confirms publication output, no formal advisees or current grant funding are explicitly referenced in the provided materials.

Esmeralda De Jesus Ratinho Lopes ArranhadoView profile

Associate Professor

• Econometrics
• Applied Economics
• Energy Economics
• +3 more

Esmeralda De Jesus Ratinho Lopes Arranhado is an Associate Professor at ISEG - Lisbon School of Economics & Management, Universidade de Lisboa. She holds the Agregação degree in Economics (2011) from Universidade de Évora and a PhD in Economics (2002) from the University of Bristol. PhD in Economics (2002), University of Bristol Agregação in Economics (2011), Universidade de Évora MSc in Mathematics (1996), ISEG - UTL Bachelor in Economics (1994), Universidade de Évora Her research focuses on econometric methods for analyzing boundary outcomes, energy efficiency valuation, multidimensional poverty measurement, and financial economics. She has pioneered applications of hedonic regression models in residential markets and fixed-effects frameworks in corporate finance. Recent publications highlight her expertise in quantile regression for energy efficiency pricing (2022), multidimensional poverty analysis (2025), and fractional response modeling for corporate capital structures (2018). Her methodological contributions include moment-based estimation techniques for nonlinear models with boundary constraints (2017). She has served as Coordinator of the PhD in Economics (Universidade de Évora & Universidade da Beira Interior) and leads the Master in Applied Econometrics and Forecasting at ISEG. Her supervision portfolio includes 13 Master's theses on topics ranging from circulatory disease mortality analysis to football transfer fee modeling. Co-Principal Investigator, FCT project POCI-01-0145-FEDER-028234 Member of CEMAPRE (ISEG's Research Centre on Applied Mathematics and Statistics) Active in policy-oriented research through the Portuguese Economic Journal