جست‌وجوی استاد و پژوهشگر

• Project Management
• Database Management
• Information Systems
• +۴ مورد دیگر

Luisa Domingues is an Assistant Professor in the Department of Information Science and Technology at ISCTE - University Institute of Lisbon. She serves as an Integrated Researcher at ISTAR-Iscte - Research Center in Information Sciences, Technologies and Architecture, specializing in Information Systems research. Her academic qualifications include a PhD in Information Science and Technology from ISCTE-IUL (2013). Her primary research interests focus on: Project Management : Methodologies, risk assessment, and knowledge sharing Database Systems : Management, interoperability, and standardization e-Government Solutions : Public sector information systems and shared services Ontological Frameworks : Particularly for architectural heritage documentation Educational Technologies : Blended learning approaches in higher education Her recent publications (2016-2024) demonstrate a strong focus on project management methodologies, knowledge transfer, and information systems in public sector contexts. Key thematic trends include PMBOK framework applications, agile methodology adoption challenges, data science project risks, and technological solutions for cultural heritage preservation. Most works employ case study research and empirical validation methods. Dr. Domingues maintains an active advising portfolio with 1 doctoral candidate and 36 master's students, primarily focusing on topics in project management, information systems, and data science applications. She has held significant academic leadership positions including: 4th Year Coordinator for Bachelor's in Computer Science and Business Management (2020-2027) Program Director for the same degree (2017-2019) At ISTAR-Iscte research center, she contributes to projects involving information systems architecture, data standardization, and knowledge management frameworks.

Il Memming Parkمشاهده پروفایل

استاد

• Computational Neuroscience
• Neural Dynamics
• Machine Learning
• +۳ مورد دیگر

Il Memming Park is a Professor and Group Leader at the Centre for Restorative Neurotechnology within the Champalimaud Research division of the Champalimaud Foundation in Lisbon, Portugal. His work bridges computational neuroscience, machine learning, and statistical modeling to understand neural dynamics and computation. Dr. Park's research focuses on developing statistical and machine learning methods for analyzing neural time series data. His lab investigates the appropriate language for neural dynamics that can explain and generate specific predictions on neural data and behavior. He builds on foundations of dynamical systems and stochastic processes to create models of neural computation tightly tied to biology. His publications reveal a strong emphasis on developing methods like variational latent Gaussian processes and exponential family dynamical systems to extract meaningful patterns from complex neural recordings. His work spans both theoretical developments in computational methods and their application to real neural data from areas like visual cortex, parietal cortex, and other brain regions involved in perception and decision making. Dr. Park has previously held positions at Stony Brook University and the University of Texas at Austin, where he was affiliated with departments of Neurobiology and Behavior, Applied Mathematics and Statistics, Psychology, and Neuroscience. His lab at Champalimaud includes multiple PhD students, postdoctoral researchers, and research staff working collaboratively on various aspects of neural data analysis and modeling. The team employs an interdisciplinary approach combining neuroscience, statistics, machine learning, and dynamical systems theory.

Joe Patonمشاهده پروفایل

استاد

• Neural Mechanisms of Time
• Interval Timing
• Rodent Neurophysiology
• +۵ مورد دیگر

Joe Paton is a Professor and Principal Investigator at the Champalimaud Neuroscience Programme, Champalimaud Foundation in Lisbon, Portugal. He leads the Paton Lab which focuses on understanding how animals determine which environmental cues are predictive of behaviorally relevant events, known as the credit assignment problem. His research combines behavioral experiments with neurophysiological recordings in rodents to investigate neural mechanisms of time perception and decision making. Dr. Paton's research interests center on interval timing, temporal processing in the brain, and the neural basis of learning. His work particularly examines how the striatum and dopamine systems contribute to time perception and how animals solve the credit assignment problem through statistical inference in the time domain. His lab employs advanced techniques including optogenetics, neural recordings, and computational modeling to address these questions. Analysis of Dr. Paton's recent publications reveals a strong focus on striatal function in timing processes, with particular attention to how neural populations encode temporal information. His work bridges behavioral neuroscience with computational approaches, demonstrating how timing mechanisms influence decision making and learning processes. The research spans multiple levels from cellular mechanisms to behavioral outputs. Midbrain dopamine neurons control judgment of time (2016) Striatal dynamics explain duration judgments (2015) A Scalable Population Code for Time in the Striatum (2015) The Neural Basis of Timing: Distributed Mechanisms for Diverse Functions (2018) Dr. Paton has mentored numerous PhD students and postdoctoral researchers through the INDP (International Neuroscience Doctoral Program) and supervises a diverse team including research technicians, postdocs, and students. His lab has contributed significantly to understanding the neural basis of time perception and its role in learning and decision making. The Paton Lab also develops experimental tools and frameworks like Bonsai for behavioral neuroscience research.

• 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.

• Information Systems
• Model-Driven Engineering
• Requirements Engineering
• +۲ مورد دیگر

Alberto Rodrigues da Silva is a Professor at the Institute Superior Técnico , part of the University of Lisbon . He teaches Fundamentals of Information Systems , primarily during the 1st Semester of the 2025/2026 academic year. His scientific interests revolve around Information Systems , Model-Driven Engineering (MDE), Requirements Engineering (RE), Social Computing , and Software Engineering . He has extensively contributed to the development of rigorous requirements specification languages like RSL (Requirements Specification Language) and its extensions (e.g., RSL-IL4Privacy for privacy policies). His collaborative work spans automated acceptance testing, GDPR compliance, and domain-specific languages (DSLs) for applications such as mobile development , digital twins , and legal contexts (e.g., LegalLanguage ). His research trends focus on integrating model-driven engineering with privacy policies , IoT applications , and low-code platforms . He has also explored tools like Maestro for data classification and usability testing, and RiverCure for flood simulation. Email: alberto.silva@tecnico.ulisboa.pt .

Paulo M. M. Rodriguesمشاهده پروفایل

استاد

• Time-series econometrics
• Financial econometrics
• Empirical macroeconomics
• +۷ مورد دیگر

Paulo M. M. Rodrigues is a Full Professor at the Nova School of Business and Economics, Universidade Nova de Lisboa , and a senior research economist at the Department of Economic Studies, Bank of Portugal , where he has been employed since 2008. He previously served as Associate Professor and held leadership roles including vice-dean and dean at the Faculty of Economics, University of Algarve. Education Agregação, University of Algarve (2015) PhD in Econometrics, University of Manchester (1998) Masters in Economics and Econometrics, University of Manchester (1995) Degree in Business Management, University of Algarve (1993) His primary research interests lie in time-series econometrics, financial econometrics, and empirical macroeconomics and finance . His work emphasizes methodological innovation in nonstationary and seasonal time series, long memory processes, predictive regression, and quantile-based modeling. He has made significant contributions to the development and application of unit root tests, cointegration analysis, and forecasting techniques under structural breaks and heteroskedasticity. The recent trends in his publications show a strong focus on advanced econometric methods, including IVX and residual-augmented approaches for predictive regression, fractional integration in multivariate settings, tail risk modeling in financial markets, and applications in tourism and labor economics. His work frequently appears in top journals such as the Journal of Econometrics , Econometric Theory , and Review of Economics and Statistics . Editorial and Professional Service Serves on the editorial board of several scientific journals. Advising and Grants While specific details on PhD students or grant funding are not provided in the text, his extensive collaborative research—particularly with scholars like Matei Demetrescu, João Nicolau, and A.M. Robert Taylor—indicates a strong record of academic mentorship and collaborative research leadership. His position at the Bank of Portugal also suggests involvement in policy-relevant research projects and potential funding from central bank or national research agencies. Laboratories and Research Teams He is affiliated with the Economics and Research Department at the Bank of Portugal, a leading institution for economic research in Portugal. This affiliation provides a collaborative environment for empirical macroeconomic and financial research with policy implications.

Pedro Henriquesمشاهده پروفایل

استاد

• Programming Languages
• Compiler Design
• Software Analysis
• +۲ مورد دیگر

Pedro Henriques is Professor of Computer Science at University of Minho, where he coordinates the Language Processing group at Algoritmi Research Center. With a PhD in Formal Languages and Attribute Grammars, he teaches compiler design and programming language engineering. His research develops: Formal methods for software analysis Educational tools for programming pedagogy Ontology-driven computational thinking frameworks AI applications in agriculture and healthcare Recent work includes neuroeducation-informed frameworks (OntoCnE) and Programming Cocktails methodology for optimizing cognitive load in code instruction. He has supervised 14 PhD dissertations and authored the foundational text "XML & XSL: da teoria a prática". Current EU projects explore VR cognitive rehabilitation and olive cultivar identification using deep learning.

Muhammad Noman Shafiqueمشاهده پروفایل

پژوهشگر

• Supply Chain Management
• Digital Transformation
• Circular Economy
• +۵ مورد دیگر

Dr. Muhammad Noman Shafique is a Researcher at the University of Aveiro, contributing to the BESIDE EU Horizon 2020 Project. His work focuses on Supply Chain Management, Digital Transformation, Circular Economy, and Industry 5.0. Previously, he held positions as Assistant Professor at the University of Buner and Gomal University, teaching courses in Business Analytics and Supply Chain Management. He completed his Postdoctoral Research (2023) and PhD (2020) at the University of Aveiro and Dongbei University of Finance and Economics, respectively. His research emphasizes sustainable business practices, digital innovations, and interdisciplinary collaboration. He has extensive international collaborations and has authored numerous high-impact publications on topics including AI in supply chains, big data analytics, and circular economy implementation. Education: Ph.D. in Business Management (2020), Dongbei University of Finance and Economics, China Postdoctoral Research (2023), University of Aveiro, Portugal M.Phil. in Business Administration (2014), Preston University, Pakistan Bachelor’s in Business Administration (2011), Virtual University of Pakistan Research Interests: His work blends technical advancements (e.g., AI, IoT) with sustainability goals. Key areas include: • Synergies between Industry 5.0 and Circular Economy • Digital Transformation in supply chains • Predictive analytics for supply chain agility • Policy impacts on sustainable practices • Cross-cultural studies on technology adoption. Publications Trends: His recent articles highlight themes like AI-driven supply chain optimization, circular economy implementation in manufacturing, and the role of digital technologies in sustainable practices. Notable contributions address humanitarian logistics, AR applications in retail, and QR payment systems in developing economies. Labs & Teams: Active in the Competitiveness, Innovation and Sustainability (CIS) group and the DSS-Lab at University of Aveiro, focusing on data-driven decision-making tools and policy analysis for sustainable business models.

• Management Information Systems
• Business Process Management
• Data Governance
• +۹ مورد دیگر

António Trigo is an Assistant Professor at ISCTE-IUL (University Institute of Lisbon) and an Integrated Researcher at ISTAR-Iscte, where he contributes to the Information Systems research group. He is affiliated with the Department of Information Science and Technology (ISTA), focusing on the intersection of technology and organizational management. His academic and professional activities span research, teaching, and leadership in information systems. Research Interests: His primary research areas include Management Information Systems, Business Process Management, IT Governance, Data Governance, Software Development, and Project Management. He investigates how organizations adopt and manage information technologies, with recent work on DevOps, low-code platforms, AI fairness, and digital transformation in education. His interdisciplinary approach integrates computer science, engineering, and management perspectives. Publication Trends: From 2022 to 2025, his research has been published in journals such as Sustainability , Journal of Open Innovation , and IT Professional , reflecting a strong focus on practical applications of information systems in business and society. Topics include digital transformation, AI ethics, project success, and data privacy, indicating a trajectory toward responsible and efficient technology deployment. Scientific Engagement: He serves on the editorial boards of several journals, including: International Journal of Information Systems and Project Management (Editor since 2015) International Journal of Human Capital and Information Technology Professionals (Editorial Team since 2020) International Journal of Smart Education and Urban Society (Editorial Team since 2017) He is also a frequent member of scientific committees for international conferences such as EMCIS, ARTIIS, and IBIMA. Teaching and Guidance: He has supervised 50 master’s dissertations and co-supervised 30, demonstrating a strong commitment to graduate education. He has held leadership roles in the Master’s program in Information Systems Management, including Director and Year Coordinator roles (2025–2027). He has also authored three editions of a textbook on programming with C#. Research Projects: He is involved in the InCITIES project, funded by the European Commission under Horizon Europe, which focuses on inclusive, sustainable, and resilient urban development through digital innovation and knowledge sharing among European universities.

• Human-Robot Interaction
• Interactive Systems
• Space Exploration
• +۵ مورد دیگر

José Luís Silva is an Assistant Professor at the Department of Information Science and Technology (ISTA), University Institute of Lisbon (ISCTE-IUL), where he has been a faculty member since 2016. He is also a researcher at LARSyS and co-leader of the MEROP research team, with active participation in projects involving Airbus, the European Space Agency, and Mars analog missions (AMADEE-20, AMADEE-24). He is affiliated with ACM Europe Technology Policy Committee and IFIP TC 13 Working Group 13.2. PhD in Computer Engineering, MAP-i Consortium (2012) Postdoctoral Fellowship, IRIT, University of Toulouse (2013) Bachelor's in Systems and Computer Engineering, University of Minho (2007) His research focuses on Human-Robot Interaction , Interactive Systems , and Space Exploration , particularly in teleoperation interfaces, haptic feedback, and augmented reality for planetary exploration. He has advised over 25 Master’s and PhD students, with recent works emphasizing situation awareness, physiological adaptation, and pseudo-haptics in remote operations. His publications span top venues like IEEE Access, ACM HRI, and INTERACT, with recent trends highlighting adaptive interfaces , latency compensation , and immersive teleoperation . He has led work on predictive digital twins, emotion-aware UIs, and robot-agnostic augmented interfaces for Mars analog missions. ISCTE-IUL Scientific Awards Doctoral Prize, Fraunhofer Portugal Challenge José Luís Silva has supervised numerous graduate students and contributed to educational initiatives in programming and human-centered software engineering. He has also been involved in national and international research projects, including collaborations with Carnegie Mellon University, Georgia Tech, and Newcastle University. His work integrates human factors into robotic systems, particularly in extreme environments such as space. He leads the MEROP team, focusing on human-centered robotics and interactive computing systems.

Mario Marques Freireمشاهده پروفایل

استاد

• Computer Systems and Networks
• Cloud Computing
• Computer Security and Privacy
• +۳ مورد دیگر

Mário Marques Freire is a Full Professor at the University of Beira Interior, where he serves as President of the Faculty of Engineering and Professor in the Department of Computer Science. He is also a Senior Researcher at Instituto de Telecomunicações, leading the Secure and Intelligent Networked Software Systems Lab. His academic qualifications include a Dr. habil. in Computer Science (2007) and Ph.D. in Electrical Engineering (2000) from the University of Beira Interior, complemented by an M.Sc. in Systems and Automation and B.Sc. in Electrical Engineering from the University of Coimbra. Freire's research spans Computer Systems and Networks, with specific expertise in Cloud Systems, Computer Networking, Security & Privacy, and AI applications. His work focuses on infrastructure virtualization, encrypted traffic classification, DDoS attack detection, and malware analysis. Recent publications demonstrate strong emphasis on cloud security, AI-enhanced defect prediction, and IoT security frameworks. He has received several scientific awards including multiple Conference Best Paper Awards and an ACM Certificate of Appreciation for his long-term contributions. Freire has supervised over 35 graduate students (10 PhD graduates) and led numerous research projects such as 'Towards the assurance of SECURity by dESIGN of the Internet of Things' (FCT/COMPETE/FEDER) and 'Cloud Computing Competence Center'. At the University of Beira Interior, Freire has held significant administrative roles including Vice-Rector (2020-2021), Director of Computer Science Services (2009-2013), and multiple terms as President of the Faculty of Engineering. He leads the Network Applications and Services research group at Instituto de Telecomunicações, focusing on secure networked systems.

• Magnetoresistive Sensors
• Non-Destructive Testing
• Neural Networks
• +۵ مورد دیگر

Diogo Caetano is an Invited Assistant Professor at the Department of Electrical and Computer Engineering, Higher Technical Institute (University of Lisbon). His research focuses on advanced sensor systems, magnetoresistive technologies, and biomedical applications. Key areas include integrated circuits for magnetic sensors, non-destructive testing methodologies, neural networks for defect detection, and miniature diagnostic tools. He is affiliated with INESC MN, a prominent research unit in applied engineering. His work spans interdisciplinary projects such as magnetic flow cytometry for bacteria detection, eddy-current based industrial inspection systems, and low-power biomedical sensor interfaces. Recent contributions include innovations in sigma-delta modulators for organ-on-chip systems and high-resolution nondestructive test probes using magnetoresistive arrays. Caetano has co-authored over 30 technical publications and holds patents in sensor interface design and signal processing. His research emphasizes practical applications in healthcare, industrial automation, and structural monitoring, leveraging both hardware innovation and machine learning techniques.

• Aerial Robotics
• Unmanned Aerial Vehicles (UAVs)
• Remote Sensing
• +۱۲ مورد دیگر

João Pedro Matos-Carvalho is an Assistant Professor at Lusófona University in Lisbon, affiliated with the School of Engineering and the Department of Electrical and Computer Engineering. He is also an Integrated Member of the Center of Technology and Systems (CTS) at UNINOVA and COPELABS, Lusófona University, contributing to interdisciplinary research in robotics and intelligent systems. Ph.D. in Electrical and Computer Engineering, FCT NOVA (2021) M.Sc. (Hons.) in Electrical and Computer Engineering, FCT NOVA (2017) His research focuses on aerial robotics, machine learning, remote sensing, and sensor networks, with applications in UAV navigation, precision agriculture, environmental monitoring, and embedded AI. He has made significant contributions to GPS-denied navigation, multispectral imaging, and AI-driven signal processing. The recent publications reflect a strong trend in integrating deep learning with real-world engineering systems, particularly in UAV autonomy, IoT, and human-centric applications like fall detection and online learning analysis. His work spans algorithm design, software development, and practical deployment in complex environments. Best Paper Award at IEEE Conference (2018) Distinguished Paper Award by LASIGE at FCUL (2021) Best Poster Presentation Award at International Complex Systems and Their Applications Conference (2023) He has secured the competitive Scientific Employment Stimulus (CEEC) grant from FCT and has advised or collaborated on multiple research projects. He has guest-edited special issues in journals such as Drones and Frotiers in Computer Science , and serves as a reviewer for leading scientific journals. He leads the development of open-source tools like AutoNAV and Raster Forge, supporting simulation and geospatial analysis. He is actively involved in research teams at CTS-UNINOVA and COPELABS, focusing on intelligent systems, aerial robotics, and data fusion. His lab work emphasizes practical UAV platforms, sensor integration, and AI deployment in real-time systems.

• Regional Economics
• Input-Output Analysis
• Environmental Economics
• +۱ مورد دیگر

Luis Cruz is a Professor at the Faculty of Economics of the University of Coimbra (FEUC), actively affiliated with the Centre for Business and Economics Research (CeBER). In April 2025, he conducted research under a Fulbright Scholarship at the University of Virginia (UVA), co-organizing the Regional Economics and Input-Output Modeling Workshop with the Weldon Cooper Center for Public Service. This event fostered collaboration among PhD students and prominent economists like Michael Lahr (Rutgers University) and Geoffrey Hewings (University of Illinois Urbana-Champaign), emphasizing cross-generational dialogue in regional economics. His core research examines Environmental and Socio-Economic Interactions, with specialization in Regional Economics and Input-Output Analysis. The UVA workshop highlighted his focus on community-building in economic modeling, where he described the atmosphere as having "great energy, great conversations, and a strong sense of community across generations of regional economists" . His Fulbright experience facilitated cultural exchange and connections in socio-economic policy research. Analysis of his 15 most recent publications reveals an unexpectedly broad interdisciplinary scope spanning computer vision (LiDAR compression, 3D modeling), electrical engineering (grid inspection), and occupational medicine (dermatitis, radiation exposure). This suggests collaborative work beyond traditional economics, possibly through CeBER's cross-departmental initiatives at the University of Coimbra. Professor Cruz has secured competitive international funding through the Fulbright Program, enabling workshops that mentor emerging economists. His leadership in organizing the UVA workshop demonstrates active engagement in academic community development, though specific grant details beyond the Fulbright are not documented in the provided sources. He operates within CeBER (Centre for Business and Economics Research), a key research unit under FEUC that drives economic policy studies. The center's focus on empirical modeling aligns with his workshop on input-output analysis, though no dedicated lab or specialized team is mentioned in the current materials.

Carlos Miguel Martins Camposمشاهده پروفایل

استادیار

• Social Cognition
• Neurobiology
• Psychopathy
• +۵ مورد دیگر

Carlos Miguel Martins Campos is an Assistant Professor at Lusófona University , conducting core research at the HEI-Lab - Digital Human-Environment Interaction Lab and collaborating with the Center for Rehabilitation Research (Polytechnic Institute of Porto). His work bridges social and affective neuroscience, focusing on interoception, psychopathy, empathy, and their links to psychopathology. Dr. Campos leads two major funded projects: Interoceptively Expecting (FCT-funded) examines interoception's longitudinal role in pregnancy and early parenthood, while Empathic Heart (BIAL Foundation) explores neurophysiological links between empathy and interoception. He integrates behavioral, neurophysiological, and computational methods, with advanced training at institutions like the Donders Institute and Oxford University. His recent publications span social cognition , neurobiology , and mental health , emphasizing interoception's role in psychopathy dimensions and maternal-infant bonding. He supervises students across levels (>45 undergraduates, 12 masters, 1 PhD) and serves on editorial boards for journals like Frontiers in Psychology . Collaborations include COMPETE2020 and FCT grants, with a focus on neuroplasticity and predictive processing frameworks.