جست‌وجوی استاد و پژوهشگر

Miguel Monteiroمشاهده پروفایل

استادیار

• Software Engineering
• Software Modularity
• Aspect-Oriented Software Development
• +۲ مورد دیگر

Miguel Monteiro is an Assistant Professor at the Department of Informatics (DI) within the Faculty of Sciences and Technology (FCT) at New University of Lisbon (UNL) since 2006. He is affiliated with the research groups NOVA-LINCS (formerly CITI) and QUASAR . Research Interests: His work focuses on Software Engineering , particularly in Software Modularity , Aspect-Oriented Software Development (AOSD), and Program Reengineering and Evolution . He has extensively studied modularity challenges in MATLAB systems and developed techniques for aspect-oriented refactoring. Notable Projects: Funded by Portuguese Science and Technology Foundation (FCT) and international bodies, his projects include: GasPar (2010-2013): General-purpose AOSD framework for heterogeneous multicore parallel systems. AMADEUS (2007-2010): Aspect-oriented optimizations for MATLAB development. PRIA (2009-2011): International collaboration with University of Texas at Austin on parallel programming. PPC-VM (2004-2007): Portable parallel computing via virtual machines. SOFTAS (2005-2008): Aspect-oriented software development research. Academic Contributions: His research spans aspect-oriented refactoring, code smells, software visualization, and domain-specific languages. He has published in journals like Journal of Computer Languages , Expert Systems , and Scientometrics , and presented at conferences including AOSD, ICEIS, and ITNG.

• Software Engineering
• Software Quality
• Code Smells
• +۷ مورد دیگر

José Pereira dos Reis is an Assistant Professor in the Department of Information Science and Technology at ISCTE - University Institute of Lisbon, where he contributes to both teaching and research. He is also an Associate Researcher at ISTAR-Iscte, a research center focused on Information Sciences, Technologies, and Architecture. His work bridges software engineering with data science and human-centric development practices. His educational background includes a PhD in Information Science and Technology (2022), a Master’s in Computer Engineering (2008), and dual Bachelor’s degrees in Electrical Engineering and Electronic and Telecommunications Engineering from ISEL (1991, 1994). PhD in Information Science and Technology, ISCTE-University Institute of Lisbon, 2022 Master’s in Computer Engineering, FCT-UNL, 2008 Bachelor’s in Electrical Engineering - Systems and Communications, ISEL, 1994 Bachelor’s in Electronic and Telecommunications Engineering - Digital Systems, ISEL, 1991 His research interests center on Software Engineering , with a focus on Software Quality , Code Smells , and their detection through Machine Learning and collective intelligence . He explores Scientific Workflow Management Systems as tools for enabling non-programmers in data science, advocating for visual programming and parameterized templates to improve accessibility and reuse. His work also extends into Process Mining and Software Development Analytics , analyzing team efficiency and refactoring practices. The recent publications reflect a strong trend in empirical and systematic studies on code quality, visualization, and workflow systems. He frequently collaborates with researchers like F. Brito e Abreu and G. Figueiredo Carneiro, contributing to high-impact journals such as Archives of Computational Methods in Engineering and Empirical Software Engineering . His work combines technical rigor with human-centered design principles. He has been involved in research projects including: DataScience4NP : Exploring visual programming to enable non-programmers in data science using scientific workflow systems. SUSTENTURIS : Focused on sustainability and authenticity in tourism, developing tools for certification and marketing sustainable tourism products. José Pereira dos Reis supervises Master’s students, currently guiding two dissertations on Deteção de Code Smells and IDE Plugin for Metrics Collection from Java Code . He teaches courses such as Software Engineering , Software Architecture and Design , Algorithm Design and Analysis , and Object-Oriented Programming across undergraduate and graduate programs in Computer Engineering and related fields. He is affiliated with research platforms including Scopus, ORCID, Google Scholar, and ScienceVitae, and his work is widely cited across academic databases.

• Software Engineering
• Computer Science
• Software Reuse
• +۳ مورد دیگر

Cláudia Werner is a Full Professor at COPPE/Federal University of Rio de Janeiro (UFRJ) and Vice-President of its Deliberative Council since 2022. She also serves as an Associate Researcher at ISTAR-Iscte Research Center in Information Sciences, Technologies and Architecture. With a PhD in Systems and Computer Engineering from COPPE/UFRJ and a Bachelor's in Mathematics-Computer Science from UFRJ, her career spans software engineering research and academic leadership. Her research explores: Software reuse methodologies in development pipelines and serious games Virtual/augmented reality applications for software engineering education Process-aware systems and workflow optimization Provenance data analytics for software process improvement Publication analysis reveals consistent focus on empirical software engineering, with recent works emphasizing immersive learning (2022), systematic literature reviews (2019), and ontology-driven process analytics (2019). Her corpus demonstrates strong cross-pollination between educational technology, distributed systems, and reusable architectures. Awards & Recognition: Distinção for contributions to Brazilian Software Engineering (2011) ACM SIGSOFT Outstanding Paper Award (2006) UML'04 Best Paper Award (2004) She has supervised 4 doctoral candidates (3 completed) and 7 master's students, with current PhD supervision on game-based software engineering concepts. Editorial roles include the Journal of Software Engineering Research and Development. She coordinates multiple tracks at premier conferences like the International Conference on Software Engineering (ICSE) and Brazilian Symposium on Software Engineering (SBES). At UFRJ, she previously served as Academic Director (2015-2019) and leads initiatives bridging software engineering research with industry applications through the ISTAR/COPPE collaboration framework.

• Data Science
• Machine Learning
• Deep Learning
• +۱۱ مورد دیگر

Diana Elisabeta Aldea Mendes is an Associate Professor at the Department of Quantitative Methods for Management and Economics within ISCTE Business School at ISCTE - University Institute of Lisbon, Portugal. She is also an Affiliate Member of BRU-Iscte (Business Research Unit). Her academic career spans various leadership roles including Director of the Master's in Data Science program and other academic management positions. Her educational background includes: PhD in Mathematics from Higher Technical Institute - UTL (2005) Pedagogical Aptitude and Scientific Capacity Tests from ISCTE-University Institute of Lisbon (1999) Bachelor's degree in Mathematics from Universitatea Babes Bolyai Facultatea de Matematica si Informatica, Romania (1988-1993) Diana E. Aldea Mendes is a mathematician and applied scientist with extensive expertise in nonlinear dynamics (both stochastic and deterministic), time series analysis, data science, machine learning, deep learning, computational economics and finance, healthcare analytics, and control and synchronization of complex systems. Her research bridges mathematical theory with practical applications in economics, finance, and healthcare. She has developed sophisticated models for analyzing financial markets, economic policy impacts, and healthcare-related time series data. Her work often combines traditional econometric approaches with cutting-edge machine learning techniques to address complex real-world problems. Her recent publications demonstrate a strong focus on the intersection of data science and finance, particularly examining how higher data frequency can improve stock market predictions, applying deep reinforcement learning to portfolio management, and investigating the impact of economic policy uncertainty on financial markets. She has also expanded her research into healthcare applications, developing ambient assisted living technologies and memory training interfaces for elderly care. Her scientific achievements have been recognized through several awards: Research Excellence Award (2018) Melhor professor IBS (1º lugar) (2014) Melhor professor IBS (1º lugar) (2013) Professor Aldea Mendes has been actively involved in numerous research projects and has served on various academic committees. She has coordinated executive training programs including the Professional Diploma in Big Data for Business Engineering and has been involved with the AI Business Hub as a consultant since 2020. Her professional activities also include participation in the Iscte-Health mission group and coordination of the Data Science Mission Group. Her research is conducted within the Business Research Unit (BRU-Iscte) where she collaborates with interdisciplinary teams to address complex business and economic challenges using quantitative methods. She has also been involved in international collaborations, including coordination of the Portuguese component of the COST Action IS1104 project focused on economic systems modeling.