جستجوی استاد راهنمای دانشگاهی

Rui Soares Barbosaمشاهده پروفایل

پژوهشگر

• Quantum Foundations
• Quantum Computer Science
• Mathematics of Quantum Theory
• +۶ مورد دیگر

Rui Soares Barbosa is a Staff Researcher at the Quantum and Linear-Optical Computation group at the International Iberian Nanotechnology Laboratory (INL). He holds a BSc in Computer Science from Universidade do Minho (2009), an MSc in Mathematics and Foundations of Computer Science from the University of Oxford (2010), and a DPhil in Computer Science from Oxford (2015) with a thesis on Contextuality in quantum mechanics and beyond. Prior to joining INL, he held post-doctoral positions at Oxford (2015–2019) and the University of Edinburgh (2019–2020), and a Research Fellowship at the Simons Institute for the Theory of Computing, UC Berkeley (2017). Barbosa's research lies at the intersection of Computer Science, Physics, and Mathematics, focusing on quantum foundations, quantum computer science, and the mathematics of quantum theory. His work emphasizes logical, structural, and compositional aspects, particularly investigating non-locality and contextuality - phenomena that distinguish quantum theory from classical physics and have been linked to quantum informatic advantage. He employs mathematical tools from category theory, logic, probability, algebraic topology, and operator algebras to achieve a structural understanding of quantum systems' non-classical features. His recent publications demonstrate a strong focus on contextuality as a quantum resource, exploring its connections to causality, computational advantage, and logical structures. The research spans theoretical foundations to practical quantum computing applications, with particular attention to mathematical frameworks like sheaf theory that elegantly express quantum contextuality. His work often involves collaborations with leading researchers in quantum foundations and theoretical computer science. Barbosa actively advises multiple PhD and MSc students including Angelos Bampounis, Rafael Wagner, Nico Witrock, and others. His research group at INL, the Quantum and Linear-Optical Computation group, conducts cutting-edge research at the intersection of quantum theory and computer science, regularly presenting findings at major conferences like the International Conference on Quantum Physics and Logic (QPL).

• Macroeconomic modeling of health disorders
• Infectious disease economics
• Computable General Equilibrium (CGE) Modeling
• +۷ مورد دیگر

Dr Marcus Keogh-Brown is an Associate Professor in the Department of Global Health and Development within the Faculty of Public Health and Policy at the London School of Hygiene & Tropical Medicine (LSHTM). His position is split between research focusing on macroeconomic modeling of health and serving as Deputy Programme Director for the school's public health distance learning program. Education: BSc in Mathematics and Statistics, Queen Mary University of London (1995-1998) MSc in Computer Studies, University of Essex (1998-1999) PhD in "A Statistical Model of Internet Traffic," Queen Mary University of London (1999-2004) PGCILT Modules 1 and 2, London School of Hygiene and Tropical Medicine (2008-2012) Dr Keogh-Brown's research focuses on analyzing the macro-economic impact of health disorders and developing macro-economic models in health contexts. His areas of interest include infectious diseases (SARS, influenza, COVID-19, tuberculosis, malaria) and non-communicable diseases (Alzheimer's Disease, Dementia). He specializes in health-related applications of Computable General Equilibrium (CGE) Modeling with GAMS, with current work on health and macroeconomic modeling of COVID-19, tuberculosis, child labor, and health-related food policies. His publication record shows a strong trend toward integrated macroeconomic-epidemiological modeling, particularly for infectious disease outbreaks and public health interventions. Recent work focuses on tuberculosis in India, Covid-19 impacts in Pakistan, and food policy interventions like the UK Soft Drinks Industry Levy. His research consistently applies economic modeling frameworks to evaluate the health and economic impacts of disease and health policies across multiple countries including Ghana, India, Thailand, Myanmar, UK, and China. Grants: Current: "Modelling the health social care and macroeconomic impacts of dementia policies in the UK" (NIHR, 2025-2026) Current: "Co-designing food system fiscal policy for healthy people and planet" (University of Oxford, 2022-2025) Completed: "COVID-19 vaccine scenario analysis for health economic and social impacts" (WHO, 2022) Completed: "Evaluation of the impact of the UK industry levy of sugar-sweetened beverages" (University of Cambridge, 2017-2023) Completed: "Macroeconomic Burden of Alzheimers in China" (Jansen Global Services LLC, 2014-2015) Dr Keogh-Brown is affiliated with several research centers at LSHTM including the Malaria Centre, Global Health Economics Centre, and Centre for Mathematical Modelling of Infectious Diseases. His collaborative work spans multiple countries and addresses critical intersections between health, economics, and policy.

João Paulo Costeiraمشاهده پروفایل

دانشیار

• Computer Vision
• 3D Reconstruction
• Structure from Motion
• +۳ مورد دیگر

João Paulo Costeira is an Associate Professor at the Department of Electrical and Computer Engineering, Instituto Superior Técnico (IST), Lisbon. He holds a PhD in Electrical and Computer Engineering from IST (1995) and was a Visiting Scientist at Carnegie Mellon University's Robotics Institute (1991–1995). His research focuses on Computer Vision, 3D Reconstruction, and Structure from Motion, with contributions to object recognition, robotics, and multimedia analysis. Education: PhD in Electrical and Computer Engineering, IST (1995); Visiting Scientist, CMU Robotics Institute (1991–1995). Roles: Coordinator of the Signal and Image Processing Group (SIPg), Co-director of the Carnegie Mellon|Portugal Dual PhD Program in ECE and Robotics (2007–2018), and Scientific Director of Carnegie Mellon|Portugal (2014–2018). Research Interests: João's work emphasizes 3D reconstruction from video, rigid and non-rigid motion analysis, and applications in robotics and urban surveillance. He has pioneered methods for motion segmentation and robust correspondence problems in computer vision. Publications: His recent work includes advancements in apple counting systems, rotation averaging for robotics, and domain adaptation for traffic density estimation. These contributions highlight his expertise in real-world computer vision challenges. Awards: None explicitly listed. However, his extensive publication record and academic leadership reflect significant scholarly impact. Advising & Grants: Supervised 13 PhD students, many co-advised with CMU faculty. Active in projects like CityCam (vehicle counting) and MultiDrone (robotics collaboration). Funded by FCT, EU, and industry partnerships. Labs/Teams: Leader of the Signal and Image Processing Group (SIPg) at ISR. Involved in NETSyS program for networked systems and robotics.

Carlos Wongمشاهده پروفایل

استادیار

• Epidemiology
• Health Services Research
• Big Data
• +۴ مورد دیگر

Carlos Wong is an Assistant Professor at The University of Hong Kong, affiliated with the Department of Pharmacology and Pharmacy and the Department of Family Medicine and Primary Care. His research focuses on epidemiology and health services research, particularly using retrospective administrative databases and cost-effectiveness analysis of healthcare interventions. PhD in Pharmacology/Health Services Research (University of Hong Kong) Bachelor & MPhil in Mathematics (Hong Kong University of Science and Technology) Research interests integrate big data , machine learning , and AI with epidemiological modeling and health policy evaluation , emphasizing real-world evidence generation for chronic and infectious diseases. Recent publications in The Lancet , Clinical Infectious Diseases , and Diabetes Care demonstrate cross-disciplinary expertise in pharmacoeconomics , diabetes complications management , and COVID-19 treatment optimization . Glasgow/HKU Early Career Mobility Fund (2016) HMRF Research Fellowship (2017)

• Vaccine Impact Modelling
• Infectious Disease Epidemiology
• Health Economics
• +۳ مورد دیگر

Dr. Kaja Abbas is an Associate Professor in Infectious Disease Epidemiology and Dynamics at the London School of Hygiene & Tropical Medicine (LSHTM), with a joint position at Nagasaki University. He leads research at the intersection of vaccine impact modeling, health economics, and epidemiology, focusing on evidence-based vaccination strategies for global health equity. His work spans low-, middle-, and high-income countries, supported by affiliations with LSHTM’s Centre for Mathematical Modelling of Infectious Diseases, Vaccine Centre, and Centre for Epidemic Preparedness and Response. His research examines the health, economic, and equity impacts of vaccination programs through mathematical modeling. Key interests include: Estimating vaccine value for diseases like typhoid, HPV, and COVID-19 Analyzing immunization disruptions during pandemics Assessing cost-effectiveness of novel vaccine delivery strategies Identifying barriers to vaccine access in marginalized populations Publications demonstrate consistent focus on translating modeling insights into policy, with recurring themes of outbreak preparedness, antimicrobial resistance, and equity-focused vaccine deployment. Recent work emphasizes economic burden analyses and stakeholder-driven approaches for vaccine introduction in endemic regions. Grant funding includes 16 active and completed projects from major health organizations: Bill & Melinda Gates Foundation (nutrition-vaccination integration in Chad/Niger) WHO (vaccine value against antimicrobial resistance) GAVI (measles-rubella impact assessment) International Vaccine Institute (typhoid/chikungunya vaccine feasibility) He currently serves on the UK Joint Committee on Vaccination and Immunisation (JCVI), influencing national immunization policy.

• Telecommunications
• Wireless Sensor Networks
• Air Quality Monitoring
• +۷ مورد دیگر

Alexandre Manuel de Castro Passos de Almeida is an Assistant Professor in the Department of Information Science and Technology at the University Institute of Lisbon (ISCTE-IUL), where he also contributes to the School of Technology and Architecture. He is an Associate Researcher at the Institute of Telecommunications - IUL, actively involved in the Radio Systems Group, focusing on telecommunications and sensor-based environmental monitoring. PhD in Telecommunications, ISCTE-IUL, 2012 His research interests span telecommunications, wireless sensor networks, air quality monitoring, computer architecture, and robotics. He has led and contributed to innovative projects such as ExpoLis, which uses mobile sensor networks on public buses to map urban air pollution. His work bridges engineering and environmental science, aiming to influence urban policy and public health through real-time data systems. The most recent publications highlight a strong trend toward deploying low-cost, mobile sensor networks for environmental monitoring, particularly in urban settings. His work integrates computer systems, signal processing, and sustainable technology, with applications in smart cities, public health, and robotics. Topics like air quality mapping, energy harvesting, and noise-aware robot navigation reflect a multidisciplinary approach to solving real-world problems. He has advised seven Master’s students at ISCTE-IUL, guiding research in sensor networks, air pollution, database performance, robotic navigation, and personal photography assistants. While no specific scientific awards are listed, his contributions to funded research projects and consistent scholarly output indicate recognition in his field. He has held leadership roles in academic governance, including Vice President of the Pedagogical Council, underscoring his institutional engagement. His teaching portfolio includes core courses such as Fundamentals of Computer Architecture, Operating Systems, and Big Data Processing, delivered across multiple undergraduate and postgraduate programs. He is involved in research projects that combine academic innovation with practical urban applications, particularly through the deployment of scalable, open-source environmental sensing systems.

Pedro Duarte Silvaمشاهده پروفایل

دانشیار

• Statistical Modeling
• Discriminant Analysis
• Interval Data Analysis
• +۱ مورد دیگر

Pedro Duarte Silva is an Associate Professor at Católica Porto Business School, Universidade Católica Portuguesa. His research focuses on statistical methods for distributional and interval data, developing parametric models and classification techniques. Recent work includes developing the MAINT.Data R package for interval data analysis and investigating outlier detection methodologies. As part of the Research Center in Management and Economics (CEGE), he contributes to methodological advances in data analysis with applications to management science. Current projects examine optimization approaches for classification problems and symbolic data analysis for official statistics.

Claudia Allemaniمشاهده پروفایل

استاد

• Cancer Epidemiology
• Global Public Health
• Survival Analysis
• +۳ مورد دیگر

Claudia Allemani is Professor of Global Public Health at the London School of Hygiene & Tropical Medicine (LSHTM), where she leads the Cancer Survival Group within the Department of Non-Communicable Disease Epidemiology in the Faculty of Epidemiology and Population Health. With over 20 years of experience in cancer epidemiology, she serves as co-Principal Investigator for the global CONCORD cancer surveillance program and Principal Investigator for the ERC-funded VENUSCANCER project studying worldwide inequalities in cancer survival. Her educational background spans applied mathematics to public health, with degrees including an MSc in Mathematics from the University of Turin (1996), MSc in Statistical and Informatic Methods from the University of Milan (1998), a PhD equivalent in Medical Statistics (2001), and a PhD in Public Health and Education (2006), all from Italian institutions. Professor Allemani's research focuses on international comparisons of cancer survival trends, high-resolution studies on patterns of care, and estimation of avoidable premature deaths with direct impact on cancer policy. Her work encompasses multiple cancer types across more than 70 countries, examining how healthcare systems, socioeconomic factors, and policy interventions affect cancer outcomes globally. She has pioneered methodologies for population-based cancer survival analysis that have become standard in the field. Her extensive publication record demonstrates consistent focus on global cancer surveillance, with particular attention to breast, cervical, and ovarian cancers, as well as pediatric malignancies. The research shows clear evolution from European-focused studies (EUROCARE) to truly global population-based analyses (CONCORD), reflecting growing recognition of cancer as a worldwide health challenge requiring international comparative approaches. Fellow of the Higher Education Academy (2012) Honorary Member of the UK Faculty of Public Health (2014) UK Faculty of Public Health's inaugural Global Public Health Award (2016) European Research Council Consolidator grant recipient (2017) Member of The Lancet Oncology International Advisory Board (2021-2024) Co-Chair of the CONCORD-Lancet Global Commission on Cancer Professor Allemani actively supervises PhD students and teaches across multiple MSc programs at LSHTM, particularly in epidemiology and medical statistics. Her grant portfolio includes major funding from the European Research Council, Cancer Research UK, CDC, WHO, and other international bodies supporting the CONCORD program's expansion to include 22 adult cancers and all childhood cancers diagnosed from 2000-2019 across 70+ countries. She leads a dedicated team of five researchers in the Cancer Survival Group, collaborating with major international health organizations including the Organisation for Economic Co-operation and Development, US Centers for Disease Control and Prevention, Institute for Health Metrics and Evaluation, WHO, International Atomic Energy Agency, and numerous national cancer institutes to translate survival data into actionable cancer control policies worldwide.

Paula Isabel Pereira Soaresمشاهده پروفایل

پژوهشگر

• Biomaterials
• Cancer Theranostics
• Magnetic Nanoparticles
• +۳ مورد دیگر

Paula Isabel Pereira Soares is a Principal Investigator and PhD researcher at CENIMAT|i3N, affiliated with the Department of Materials Science under the Faculty of Sciences and Technologies at NOVA University Lisbon, Portugal. Her academic career focuses on the development of multifunctional magnetic materials for biomedical applications. Integrated Master's in Pharmaceutical Sciences (2009) PhD in Nanotechnology and Nanoscience (2015) Her research interests include: Design of stimulus-responsive magnetic nanoparticles for cancer theranostics Development of controlled drug release systems using thermosensitive polymers 3D printing of magnetic systems for biomedical applications Recent publications highlight advancements in nanofibrous membranes, chitosan-based drug carriers, and magneto-responsive devices. These works span interdisciplinary fields including biomaterials, nanotechnology, and biomedical engineering. Scientific awards and distinctions: Junior Research Contract (2020) from the Foundation for Science and Technology under the Stimulation of Scientific Employment program Paula supervises over 30 master's and 5 doctoral theses, teaches courses in Biomaterials, Biomaterials and Nanomedicine, Introduction to Biomaterials, and Medical Imaging and Theranostics. She leads the national research project DREaMM (2017–present) and collaborates with international institutions through the Pessoa Program (France–Portugal) and other national projects.

• Mathematics Education
• Educational Sciences
• Technology in Education
• +۳ مورد دیگر

António Augusto Gaspar Ribeiro serves as Professor at the Polytechnic Institute of Viseu's School of Education, where he has maintained continuous academic service since 1986, progressing from Assistant to current Professor Coordenador rank. His scholarly identity centers on Mathematics Education with specialized expertise in geometry pedagogy and educational technology integration across primary and teacher education contexts. His academic formation includes: Doctorate in Didactics of Mathematics (2005, University of Aveiro) Doctorate in Didactics (2005, University of Aveiro) Master's in Mathematics Teaching Methodology (1995, University of Lisbon) Licenciatura in Mathematics Teaching/Nature Sciences (1987, Polytechnic Institute of Viseu) Ribeiro's research program demonstrates sustained innovation in mathematics education, particularly through dynamic geometry environments like Cabri-Géomètre for primary classrooms. His work bridges theoretical frameworks with practical applications, examining teacher cognition, curriculum implementation challenges, and technology-enhanced learning. Recent scholarship shows expanded focus on interdisciplinary approaches in higher education and the pedagogical potential of humor in mathematics instruction. Analysis of his 25+ publications reveals evolving thematic trajectories: early work (2002-2006) established foundations in geometry education and technology integration; mid-career research (2009-2014) addressed curriculum reform and teacher development; current output (2017-2021) emphasizes interdisciplinary collaboration, early childhood mathematics, and socio-emotional dimensions of learning. His scientific recognition includes: 1º Concurso Nacional de Software Educacional - PUZZLE (1993) 1º Concurso Nacional de Software Educacional - JornalHist (1993) Ribeiro has supervised eight master's theses in Educational Sciences, primarily focusing on geometry education, technology integration, and teacher cognition. He leads the SmartCityKidsLab initiative (2019-present) and previously coordinated the PRINT interdisciplinary project (2017-2018) with Brazilian partners. His research portfolio includes four funded projects through the Center for Research in Education, Technologies and Health. As an institutional leader, he serves on the School of Education's Scientific Council and has held multiple governance roles including Pedagogical Council Secretary (1996-1998) and Vice-President of the School Board (2000-2002). His professional engagement extends to the Association of Mathematics Teachers and international collaborations with Brazilian institutions.

• Food Science
• Biotechnology
• Food Engineering
• +۵ مورد دیگر

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).

Alexandra Bugalho De Mouraمشاهده پروفایل

دانشیار

• Actuarial Science
• Optimal Reinsurance
• Climate Risk Analysis
• +۳ مورد دیگر

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.

• Economic Growth Models
• Optimal Control Theory
• Differential Equations
• +۳ مورد دیگر

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.

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.

Alessandra Cilloمشاهده پروفایل

پژوهشگر ارشد

• Decision Analysis
• Risk Analysis
• Behavioral Economics
• +۳ مورد دیگر

Alessandra Cillo is a Research Fellow at Bocconi University , specializing in Decision Analysis . Her work intersects economics, behavioral science, and risk analysis, with a focus on experimental methods and cognitive modeling. Key Affiliations: Bocconi University SDA Bocconi School of Management (teaching) Research Interests: Decision Analysis Risk and Uncertainty Behavioral Economics Cognitive Modeling Experimental Economics Operational Research Publication Trends: Her research spans behavioral decision-making, risk assessment, and experimental studies. Key themes include intransitive choice, threshold-based decisions, and neurocognitive approaches to decision models. Scientific Honors: Excellence in Reviewing Award - European Journal of Operational Research (2018, 2016) Excellence in Research - Università Commerciale Luigi Bocconi (2015, 2010) Excellence in Teaching, MBA Program - SDA Bocconi (2011)