جستجوی استاد راهنمای دانشگاهی

• Nursing
• Mental Health
• Occupational Health
• +۴ مورد دیگر

Aida Maria de Oliveira Cruz Mendes is a distinguished academic and researcher at the Coimbra School of Nursing, where she has maintained a continuous appointment since 1987. With over three decades of academic service, she has established herself as a leading expert in nursing science with particular specialization in mental health, occupational health, and sleep quality among healthcare professionals. She currently serves on the Scientific Council for Life and Health Sciences at the Foundation for Science and Technology, demonstrating her significant contribution to Portuguese scientific policy. Education background: PhD from University of Minho (1996-2000) Master's in Occupational Health and Hygiene from University of Coimbra Medical School (1992-1995) License in Mental Health and Psychiatric Nursing (1990-1991) Bachelor's degree in Nursing (1977-1980) Multiple specialized certifications in psycho-oncology, cognitive therapy, and qualitative research Dr. Mendes' research program demonstrates remarkable consistency in addressing critical issues in nursing practice and healthcare delivery. Her work spans mental health services evaluation, occupational health challenges faced by nursing staff, sleep quality determinants in healthcare settings, and innovative programs for healthy aging and retirement transition. She has developed expertise in both qualitative and quantitative methodologies, with numerous systematic reviews and intervention studies to her credit. Her research bridges clinical practice with health promotion initiatives, creating tangible impacts on nursing education and healthcare policy. Analysis of her recent publication trajectory reveals a sophisticated evolution in research focus. While maintaining consistent attention to nursing staff wellbeing (particularly regarding sleep quality and stress biomarkers), she has expanded into developing and evaluating health promotion programs, most notably the REATIVA program for retirement transition. Her work increasingly incorporates international collaborations and demonstrates methodological sophistication, with publications appearing in multiple languages (Portuguese, English, and Spanish) across diverse healthcare contexts. Research funding highlights: Active Retirement: study of a healthy ageing promotor program (2013-2015) funded by Foundation for Science and Technology Mental Health Education and Sensibilization: A School-based Intervention Program for Adolescents and Young (2011-2014) funded by Foundation for Science and Technology Dr. Mendes has supervised numerous graduate students and collaborated extensively with international research teams, particularly in European nursing education contexts. Her work on nurse professional competence assessment among newly graduated nurses demonstrates her commitment to advancing nursing education standards. She maintains active research partnerships with institutions across Portugal and internationally, contributing to both clinical practice improvements and healthcare policy development.

• Sociology of Communication
• Media and Society
• Internet Studies
• +۱۲ مورد دیگر

Gustavo Cardoso is a Full Professor of Communication Sciences at ISCTE - University Institute of Lisbon and a researcher at CIES-Iscte - Center for Research and Studies in Sociology. He is also an associate researcher at CADIS in Paris and Director of OberCom - Observatory of the Media in Lisbon. His academic leadership includes directing the PhD in Communication Sciences and three postgraduate programs: Journalism, Fact-Checking and Disinformation, and Communication and Political Consulting. Full Professor, Department of Sociology, ISCTE-IUL Integrated Researcher, CIES-Iscte Director, OberCom - Observatory of the Media Associate Researcher, CADIS, Paris Education: Aggregation in Sociology, ISCTE-IUL (2010) Postgraduate Studies in Global Leadership and Public Policy, Harvard Kennedy School (2009) PhD in Sociology of Communication, ISCTE-IUL (2005) Master’s in European Studies, ISCTE-IUL (1997) Bachelor’s in Business Organization and Management, ISCTE-IUL (1994) Gustavo Cardoso's research focuses on the sociology of communication, media and society, internet studies, and the transformation of journalism in the digital age. His work explores the shift from mass communication to networked communication, the role of screens and mediation, digital democracy, and the cultural impacts of the network society. He investigates how communication shapes institutions, identities, and social change, particularly in times of crisis. His recent publications reveal a strong trend toward theorizing networked communication, mediatized culture, and the communication of communication as a new paradigm. His books analyze digital transformation, youth media practices, open science, and socio-political movements, reflecting a deeply interdisciplinary and globally comparative approach. Scientific Awards and Honors: Grand Officer of the Order of Prince Henry the Navigator Young Global Leader (2009) Member of Academia Europaea – Cinema, Media, and Visual Studies section He has served as advisor to the President of Portugal on Information Society policy (1996–2006) and as non-executive Vice-Chairman of the Lusa news agency (2006–2012). He leads major research projects on open science and digital transformation, often funded by the Calouste Gulbenkian Foundation. His international collaborations include the World Internet Project and research networks across Europe, the US, and Asia. He mentors students and researchers in communication, sociology, and digital culture. His leadership extends to editorial and organizational roles in books and research initiatives, including co-editing volumes on network society, crisis cultures, and media models. He is actively involved in shaping communication education and policy in Portugal and beyond.

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.

• Artificial Intelligence
• Healthcare Informatics
• Data Science
• +۵ مورد دیگر

Luís B. Elvas is an Assistant Professor at ISCTE-University Institute of Lisbon's Department of Social and Business Sciences (SINTRA) and a Research Assistant at ISTAR-Iscte Research Center. He holds qualifications including a Technical Specialization in TensorFlow for AI (Coursera, 2021) and certifications in IoT/Blockchain from ISCTE and cybersecurity from Palo Alto Networks. His research spans artificial intelligence, healthcare informatics, smart cities, and blockchain, with applied work in medical imaging, data sharing, and urban analytics. Research interests include: Healthcare AI : Developing deep learning models for cardiac diagnostics, medical imaging analysis, and blockchain-based health data systems Smart Cities : Implementing IoT solutions for urban mobility optimization, disaster management, and sustainable transportation Data Science : Creating predictive analytics frameworks for clinical decision support and urban planning His publications demonstrate a strong focus on AI-driven healthcare solutions (67% of recent works) and smart city technologies (33%), with emerging interests in blockchain and NLP. Research consistently targets real-world applications in clinical settings and urban environments. Awards: Award for best internship, Order of Engineers (2022) Distinction for best internship, Order of Engineers (2021) He leads/contributes to multiple EU research consortia including AMR-EDUCare (antimicrobial resistance education), NEEM (e-health in Nepal), and Blockchain.PT. Coordinates the IEEE Computational Intelligence Society Student Branch Chapter at ISCTE and developed the ManagiDiTH master's program in digital health transformation.

Julien Diogoمشاهده پروفایل

استاد مدعو

• Neuromarketing
• Consumer Behavior
• Applied Cognitive Neuroscience
• +۵ مورد دیگر

Julien Diogo serves as Adjunct Professor at Polytechnic Institute of Viseu's School of Education of Viseu since 2020, teaching Market Analysis, Consumer Behavior, Strategic Communication, and Innovation/Creativity courses. He concurrently holds Visiting Professor positions at ISAG (Higher Institute of Administration and Management) since 2018 for Executive MBA programs and was Professor of Organizational Communication at ISCA-UA (2022-2023). His academic roles extend to Visiting Facilitator positions at Brazil's Personal Branding Academy and ISLA's Postgraduate Program in Innovation. His educational background includes: PhD in Communication Sciences (in progress, 2023-2026) at University of Coimbra Specialization in Teacher and Trainer Training (2022-2023) from Employment and Training Institute of Braga Marketing Specialist title (2019) from Polytechnic Institute of Viseu Master's in Communication and Marketing (2010-2012) from Polytechnic Institute of Viseu (Final Grade: 17/20) Bachelor's in Social Communication (2005-2008) from Polytechnic Institute of Viseu (Grade: 17/20) Diogo's research integrates neuromarketing with consumer behavior analysis, focusing on emotional responses in digital environments, Generation Z consumption patterns, and neuroscience applications in place branding. His work examines how cognitive processes influence purchasing decisions through physiological measurements and behavioral experiments, particularly investigating caffeine's neuropharmacological effects on consumer arousal and shop window design's attentional impact. He bridges theoretical neuroscience with practical marketing strategy development. His publication trajectory reveals increasing focus on digital-emotional consumer interfaces, with recent work analyzing pandemic-era behavior shifts and Gen Z's narrative processing. Key thematic clusters include neuromarketing validation in retail architecture, emotional sustainability in e-marketplaces, and neuroscientific foundations of territorial branding, demonstrating consistent application of cognitive neuroscience to contemporary marketing challenges. Scientific recognition includes: 2008 Academic Merit Award for Best Social Communication Student (Polytechnic Institute of Viseu) 2021 Nomination for Global Teacher Prize Portugal Diogo actively supervises master's research including thesis on territorial brand communication (2024), language informality in digital contexts (2024), and Apple's Lovemarks strategy for Generation Z (2024). He contributes to research projects like INOV C+ Intelligent Innovation Ecosystem (2024-present) and co-orientated neuromarketing studies on advertising reception decoding (2020). His academic service includes peer review for IGI Global and International Journal of Marketing. Through his dual leadership as CCO of ICN Agency (neuromarketing consultancy), co-director of PsicoSoma (publishing/training), and expertMind (LMS platform), Diogo maintains robust industry-academia integration, developing neuromarketing frameworks applied across retail, urban planning, and digital experience design contexts.

Adalberto Campos Fernandesمشاهده پروفایل

دانشیار

• Health Administration
• Health Management
• Health Policies
• +۴ مورد دیگر

Adalberto Campos Fernandes is an Associate Professor at the National School of Public Health (NOVA-NSPH), Universidade NOVA de Lisboa, and a researcher at the Centro de Investigação em Saúde Pública (CISP/PHRC) and Comprehensive Health Research Centre (CHRC). He holds a PhD in Health Administration from Universidade de Lisboa. Previously, he served as Minister of Health of Portugal (2015–2018) and held leadership roles in major hospitals and healthcare institutions, including the Board of Directors of Hospital de Santa Maria and Hospital Pulido Valente. Education: PhD in Health Administration (Universidade de Lisboa), Master in Public Health (ENSP-NOVA), Specialist in Public Health, and Medical Degree (Faculdade de Medicina de Lisboa). Research Focus: Health Administration, Health Management, Sustainability of Health Systems, and Public-Private Partnerships in Healthcare. His work emphasizes the integration of social and health sectors, policy analysis, and healthcare system sustainability. Recent research explores decentralized healthcare models, the impact of AI in clinical coding, and obesity management strategies. He has contributed to over 96 publications and actively participates in policy debates on healthcare accessibility and system resilience. Key roles beyond academia include serving on the Board of Directors of several hospitals and leading initiatives in public-private healthcare collaborations. His professional experience bridges academic research, policy-making, and clinical administration, shaping Portugal’s healthcare landscape.

João Magalhãesمشاهده پروفایل

استاد

• Vision and Language Understanding
• Multimodal Information Understanding
• Multimodal Conversational AI
• +۵ مورد دیگر

João Magalhães is a Full Professor in the Department of Computer Science at the Faculty of Science and Technology, Universidade NOVA de Lisboa, Portugal. He serves as Group Coordinator of the Multimodal Systems Group at the NOVA Laboratory for Informatics and Computer Science and leads the NOVASearch research group at FCT/UNL. His research focuses on vision and language information understanding, with particular emphasis on multimodal information understanding, multimodal conversational AI, multimedia search and summarization, temporal and memory models, and social media information quality. His work spans both theoretical foundations and practical applications across web, social media, and clinical domains. Analysis of his recent publications reveals a strong trajectory in multimodal conversational AI systems, with increasing sophistication in handling both voice and visual inputs. His research has evolved from foundational work in cross-modal embeddings to advanced large language models for dual-goal conversational settings, demonstrating consistent innovation in the field of multimodal understanding. 1st prize winner of the second Alexa TaskBot Challenge (2023) Award-winning solution in the Alexa TaskBot Challenge (2022) Best paper award at the Portuguese NLP conference (PROPOR) (2020) Best paper nominations at ACM conferences (2018) Professor Magalhães has advised numerous graduate students through the NOVASearch group and has secured substantial research funding through projects including Amazon Alexa TaskBot Challenge (2021-2023), iFetch (2020-2023), SmartyFlow (2017-2020), COGNITUS (2016-2019), GoLocal (2016-2020), QSearch (2012-2015), ImTV (2010-2013), and CS4SE (2010-2013). He actively serves the research community as ACM Multimedia 2026 Program Committee Chair and has held leadership roles in numerous conferences including ACM Multimedia 2022 General Chair and ECIR2020 General Chair. He leads the Multimodal Systems Group within the NOVA Laboratory for Informatics and Computer Science, where his team develops cutting-edge solutions for multimodal understanding with applications in conversational AI, multimedia search, and social media analysis.

Duarte Santana Lopesمشاهده پروفایل

استاد مهمان

• Criminal Law
• Financial Law
• Compliance
• +۴ مورد دیگر

Duarte Santana Lopes is a Visiting Professor at the Faculty of Law of NOVA University Lisbon since 2017, teaching Interdisciplinary Legal Practice. He simultaneously serves as a Partner at Morais Leitão law firm since 2022 (working with the firm since 2007), specializing in criminal and administrative offense proceedings, particularly in the economic and financial field. His professional expertise spans multiple critical legal domains: Criminal Law and Economic Crime Financial Regulation and Compliance Anti-Corruption and Money Laundering Prevention Fintech Regulation in Data Economy Administrative Sanctioning Law Languages: Portuguese and English Professional Associations: Portuguese Bar Association (registered since 2010) Macau Lawyers Association (registered since 2014) He is frequently invited as a speaker at major legal conferences, focusing on financial crime prevention and the strategic implementation of compliance programs within organizations. Recent speaking engagements include the Advocatus Summit and conferences on anti-financial crime in Portugal, where he emphasizes viewing compliance as a strategic business pillar rather than merely a regulatory obligation.

• Crowdsourcing
• Human-Computer Interaction
• Digital Health
• +۷ مورد دیگر

Simo Hosio is an Academy Research Fellow (2022-2027) and Professor of Computer Science and Engineering at University of Oulu's Center for Ubiquitous Computing, where he leads the Crowd Computing Research Group. He also maintains a visiting position at University of Tokyo, Japan. Having graduated as the first Finnish scholar under Microsoft Research Cambridge's Ph.D. scholarship program, he has published over 150 peer-reviewed scientific articles spanning two decades of research. Hosio's research spans three primary domains: crowdsourcing methodologies, human-computer interaction, and digital health applications. His work pioneers novel approaches to online labor markets, investigates the suitability of crowdsourcing for diverse applications, and explores HCI aspects of digital health solutions for chronic conditions. His research group, founded in 2020, has secured nearly two million USD in funding, demonstrating significant research impact and recognition. Analysis of Hosio's recent publications reveals a strong trend toward interdisciplinary research at the intersection of crowdsourcing, healthcare technology, and emerging AI systems. His work increasingly focuses on practical applications of crowd computing in health contexts, with growing attention to mental health, women's health, and workplace well-being solutions. The integration of AI and machine learning techniques with traditional HCI approaches represents another significant trajectory in his recent scholarship. Distinguished Paper Award (2024) Best Paper Honourable Mention Award (2022) PMCJ Best Research Paper (awarded in 2024) Best Paper Award (2022) Best Full Paper Award (2015) Honorable Mention Award (2014) Best Paper Presentation award (2010) As an educator, Hosio has taught Human-Computer Interaction (2019-2025) to over 260 students in 2024, Social Computing (2018-2021) to approximately 60 students annually, and Applied Computing (2015-2018) to around 50 students each year. His research group's nearly two million USD in secured funding demonstrates significant grant acquisition success, supporting innovative work at the intersection of crowd computing, health technology, and human-centered AI systems. The Crowd Computing Research Group, founded by Hosio in 2020, represents a significant research infrastructure focused on advancing methodologies for crowd-powered systems. The group's work spans from fundamental research on crowd labor markets to applied projects in healthcare, workplace well-being, and social computing, demonstrating a strong commitment to both theoretical advancement and practical impact.

• Public Law
• European Union Law
• International Trade Law
• +۳ مورد دیگر

Manuel Fontaine Campos serves as Associate Professor at the Faculty of Law of the Catholic University of Portugal (UCP), where he has held directorial responsibilities since 2013 and previously served as Vice-President of UCP's Porto Regional Center (2017-2021). His academic journey includes a Law degree (1996), Master's in Political Science (1999), and Doctorate in Law (2012), all from UCP. His research focuses on Public Law , European Union Law , and International Trade Law , with particular expertise in State Aid regulation, constitutional interpretation, and EU competition policy. His publication record spans over two decades, including commentaries on Portugal's Civil Code and Constitution, analyses of EU regulatory frameworks, and historical studies of international trade regulations. Professionally, he has held visiting positions at universities in Mozambique, Macau, Spain, and Portugal, and contributes to legal discourse through scholarly publications and expert opinions. His teaching portfolio includes International Trade Law, Public Law, and European Economic Law modules across multiple UCP degree programs. As both academic and practitioner (having worked as a lawyer and legal consultant), Campos bridges theoretical scholarship with practical legal application, particularly in EU regulatory compliance and constitutional interpretation. His current work continues to influence Portuguese legal scholarship through ongoing publications and institutional leadership.

Carla Preciosa Braga Cerqueiraمشاهده پروفایل

دانشیار

• Media
• Gender Studies
• Digital Communication
• +۵ مورد دیگر

Carla Preciosa Braga Cerqueira is an Associate Professor at Lusófona University of Porto, affiliated with the School of Communication, Architecture, Arts and Technologies. She is an integrated researcher at CICANT (Research Center for Applied Communication, Culture and New Technologies) and a collaborator at CECS (Centre for Communication and Society Studies) from the University of Minho, where she earned her PhD in Communication Sciences (specializing in Communication Psychology). Her research focuses on media , gender studies , digital communication , and social movements , with a particular emphasis on feminist activism and intersectionality. Degree in Social Communication Postgraduate in Communication Sciences - Information and Journalism PhD in Communication Psychology, University of Minho Her recent work explores Portuguese feminist movements through digital platforms, analyzing how campaigns like the International Feminist Strike re-politicize gender discourse. She investigates media representation of motherhood in sports and sexual harassment in academia , linking these to UN Sustainable Development Goals. Cerqueira actively collaborates with NGOs, serves on the RTP Opinion Council, and organizes academic events like the II MeLCi Lab Autumn School on media and gender. Key projects include: FEMglocal : Global-local feminist movements YouNDigital : Youth digital citizenship IM Lab : Intersectional media analysis

• Compilers
• Automatic Software Verification
• Compiler Optimization
• +۷ مورد دیگر

Nuno Pereira Lopes is an Associate Professor at Instituto Superior Técnico , part of Universidade de Lisboa , and a researcher at INESC-ID . He also serves as an advisor at FuriosaAI , focusing on tensor contraction processors for AI workloads. Research Interests : Compilers, formal verification of LLVM optimizations, machine learning frameworks, undefined behavior exploitation, probabilistic model checking, blockchain security, and many-core code generation. Teaching : Compilers and Computer/Informatics Engineering projects. Funding : Supported by Google, Matter Labs, NLnet, Oracle, PRACE, RNCA, and Woven by Toyota. Recent Publications focus on LLVM backend validation , PyTorch pipeline parallelism , C++ dynamic cast optimization , undefined behavior in C/C++ , and AI tensor processors . His work bridges compiler design, formal methods, and AI hardware. Academic Service includes representing Portugal in ISO/IEC JTC 1/SC 22 (C++), organizing FLoC'26 , and serving on program committees for PLDI, EuroLLVM, and CGO.

Melissa Parkerمشاهده پروفایل

استاد

• Anthropology of Global Health
• Medical Humanitarianism
• Legacies of War
• +۴ مورد دیگر

Melissa Parker is a Professor in the Department of Global Health and Development at the London School of Hygiene & Tropical Medicine. With a DPhil in Human Sciences from Oxford University, her work bridges social and biological anthropology to address global health challenges in conflict zones and epidemic contexts. Affiliated with the Centre for Epidemic Preparedness and Response and Health in Humanitarian Crises Centre, she co-founded the Social Science in Humanitarian Action Platform after the 2014 Ebola epidemic. Her research spans: Legacies of war in Uganda, South Sudan, and post-LRA dynamics Epidemic response frameworks (Ebola, COVID-19, mpox) across Africa Biosocial approaches to neglected tropical diseases in Sudan, Tanzania, and Uganda Recent publications focus on vaccine enforcement efficacy, militarisation of epidemic response, and adaptive localised health interventions. Over 15 major articles since 2016 examine NTD control, epidemic authority structures, and post-conflict health systems. Scientific contributions include: Geoffrey Harrison Prize Lecture (2017) Member of WHO Guidelines Development Group on Mass Drug Administration Contributor to UK Government's SAGE ethnicity subgroup (2020-2021) She supervises PhD students on topics like epidemic preparedness in refugee settings and impact of Ebola on West African health systems , while teaching modules in social research, conflict health, and medical anthropology.

• Educational Assessment
• Learning Assessment
• Research Data Management
• +۷ مورد دیگر

Gabriel Cipriano is a Visiting Professor in the Department of Social Research Methods at the School of Sociology and Public Policy (ESPP), Iscte – Instituto Universitário de Lisboa, and a researcher at CIES-Iscte (Center for Research and Studies in Sociology). He is currently a PhD Scholarship Holder, with a doctorate in School Administration and Management Policies expected in 2025. Educational Background: PhD in School Administration and Management Policies, Iscte (2025) Postgraduate in Data Analysis in Social Sciences, Iscte (2022) Master’s in School Administration, Iscte (2019) Bachelor’s in Teaching in Music Education, ESELx (2007) His research centers on educational assessment, learning evaluation, research data management in social sciences, and public education policy evaluation. He investigates school administration policies, mobility policies, and the impact of crises—particularly the COVID-19 pandemic—on assessment systems. His work emphasizes equity, digital transformation, and teacher professional development. The trends in his scholarly publications reflect a strong focus on the transformation of educational assessment during and after the pandemic, the integration of technology (including AI), and teacher beliefs. His recent work explores the readiness of national systems for digital assessment, the ethical and practical implications of AI in classrooms, and the perceptions of school leaders regarding policy changes. Scientific Awards: No awards explicitly mentioned. Research and Advising: Gabriel is actively involved in research projects such as the Research Data Management Center for the Social Sciences and Humanities (RDMC-SSH) and Re.Data , focusing on infrastructure for SSH data. He has worked under the supervision of Susana da Cruz Martins on pandemic-related assessment impacts. While no formal students are listed, his role suggests potential mentoring within research teams. Labs and Research Groups: He is affiliated with CIES-Iscte, a leading sociology research center, contributing to projects on educational policy and data governance.

• intelligent systems
• Machine Learning
• evolutionary algorithms
• +۴ مورد دیگر

Teresa Cristina de Freitas Gonçalves is an Associate Professor at the Department of Informatics, School of Sciences and Technology, University of Évora, where she has been employed since 1999. She serves as an integrated researcher at the ALGORITMI research centre and is the Director of the VISTA Lab (Video, Image, Speech and text Analysis Lab), the unit of the ALGORITMI research centre at University of Évora. Her leadership roles include Director of the Master programme in Informatics Engineering and deputy Director of both the Master programme in Artificial Intelligence and Data Science and the Doctoral program in Computer Science. She earned her PhD in Computer Science from University of Évora and a MSc degree in Informatics Engineering from New University of Lisbon. Her academic journey at University of Évora has included significant leadership positions including Head of the Computer Science Department (2011-2015), Director of the Bachelor programme in Informatics Engineering (2016-2021), and Deputy Director roles for various undergraduate and graduate programs. Dr. Gonçalves' research focuses on intelligent systems, particularly Machine Learning approaches, with substantial contributions in evolutionary algorithms, information extraction and retrieval, and supervised learning across multiple data modalities including tabular data, text (in both Portuguese and English), and images (medical and satellite). Her work bridges theoretical advances with practical applications in healthcare, remote sensing, and natural language processing. She has successfully supervised 6 doctoral theses, 19 master theses, and 3 postdocs, and currently mentors 5 doctoral and 6 master students from diverse international backgrounds including Bangladesh, Cabo Verde, Nepal, Philippines, India, Sri Lanka, China, Mongolia, and Portugal. Her publication record includes over 100 scientific articles indexed by Scopus with 640 citations and an h-index of 12, demonstrating significant international impact with 56% of her work involving international collaboration. Her recent research shows a strong trend toward applying advanced machine learning techniques to healthcare applications, information retrieval systems, and remote sensing analysis, with particular emphasis on transformer networks, learning-to-rank methodologies, and multimodal data analysis. Dr. Gonçalves has made substantial contributions to the academic community through her service as a reviewer for over 50 articles in prestigious international journals and conferences, and as chair for major international conferences including IDEAL 2023, PROPOR 2020, SKIMA 2017 and 2018, and CLEF 2016. She serves on the board of APRP (Associação Portuguesa de reconhecimento de Padrões) and as a jury member for APRP prizes for best MSc and PhD theses. Her current research portfolio includes coordination of the Horizon Europe MSCA Staff Exchange HarmonicAI project and local coordination of WP6 in the NewSpace Portugal mobilising agenda. She is also actively involved in numerous other international research initiatives including Interreg VI-B Sudoe SenforFire, PRR CANTE, La Caixa INCOME, Erasmus+ KA220-HED REDINEST, Interreg POCTEP TID4AGRO, and ATTRACT DIH projects. Previously, she led the FCT AI in the Public Administration SNS24.Scout.IA project and coordinated the FEDER R&D NIIAA project. As Director of the VISTA Lab, Dr. Gonçalves leads a dynamic research team focused on video, image, speech, and text analysis. The lab serves as the Évora hub of the ALGORITMI research centre and has established strong international collaborations. Under her leadership, the VISTA Lab has developed innovative approaches in medical image analysis, natural language processing for Portuguese, and satellite image classification, with applications spanning healthcare, environmental monitoring, and public administration.