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.

Joseph Wuمشاهده پروفایل

استاد

• Epidemiology
• Infectious Disease Modeling
• Public Health Policy
• +۵ مورد دیگر

Professor Joseph Wu is a faculty member at The University of Hong Kong , specializing in mathematical and statistical modeling of diseases. His research focuses on developing practical analytics for disease control, translating findings into public health policies, and addressing global health challenges through AI technology and tools. He leads the Laboratory of Data Discovery for Health (D²⁴H) and has directed significant educational initiatives, including HKU’s Epidemics MOOC and the Croucher Summer Course in Vaccinology . His research spans epidemiology , infectious disease modeling , and public health policy . He has contributed to understanding COVID-19 , influenza , and yellow fever dynamics, with a focus on vaccine hesitancy and epidemic forecasting. His work has been published in high-impact journals such as Nature Medicine and The Lancet . Scientific Awards: Fellow of the UK Faculty of Public Health Professor Wu serves as co-editor-in-chief of Epidemics and associate editor for PLOS Computational Biology and PLOS Neglected Tropical Diseases . He contributes to global health through membership in the WHO Advisory Committee on Immunization and Vaccines-related Implementation Research (IVIR-AC) , the MIT SOLVE Challenge Leadership Group , and the MIT HK Innovation Node .

Rodrigo Venturaمشاهده پروفایل

دانشیار

• Robotics
• Artificial Intelligence
• Human-Robot Interaction
• +۴ مورد دیگر

Rodrigo Ventura is an Associate Professor at the Department of Electrical and Computer Engineering, Instituto Superior Técnico (IST), University of Lisbon. He is also a senior researcher at the Institute for Systems and Robotics (ISR-Lisbon), leading the Space and Aeronautics thematic line. His research focuses on the intersection of Robotics and Artificial Intelligence, emphasizing human-robot interaction, space robotics, and cognitive architectures. He coordinates the Minor in Space Sciences and Technologies at IST and the MBE on Space Systems for Tecnico+. As Adjoint Faculty at the International Space University (ISU), he contributes to global academic initiatives. His work includes experiments on the International Space Station and participation in analog space missions. Research interests span biologically inspired systems, machine learning, and teleoperation interfaces. Recent publications address reinforcement learning for UAVs, microgravity experiments, and pseudo-haptic feedback for robotic control. He teaches subjects like Artificial Intelligence and Decision Systems, Satellite Engineering, and Autonomous Systems.

David Lindlbauerمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Computer Graphics
• Computer Vision
• +۷ مورد دیگر

David Lindlbauer is an Assistant Professor at the Human-Computer Interaction Institute (HCII) within Carnegie Mellon University's School of Computer Science. He leads the Augmented Perception Lab and co-directs the CMU Extended Reality Technology Center (XRTC) . His research bridges Human-Computer Interaction, Computer Graphics, and Computer Vision to create adaptive interfaces that enhance human-digital interaction. Education : PhD (summa cum laude) from Technische Universität Berlin , MSc and BSc from University of Applied Sciences Upper Austria Previous Affiliation : Postdoctoral Researcher at ETH Zurich (2018-2020) David's research focuses on understanding human perception of digital information and developing computational approaches to optimize AR/VR interface usability. Key areas include: Context-aware adaptive interfaces Visual saliency and attention modeling Spatial audio-haptic systems Optimal placement algorithms Object manipulation in Remixed Reality Diminished/ambient MR interfaces His 15 most recent publications (2024-2025) span topics in adaptive XR interfaces, multimodal notifications, haptic systems, and spatial cognition. These works appear at venues like ACM CHI, ACM UIST, IEEE VR, and Frontiers in VR. Common themes include: Machine learning for interface adaptation Human factors in XR design Real-time environment analysis Privacy-aware display systems Collaborative MR interfaces Accessibility enhancements Scientific Recognition : Best Paper Honorable Mention Award (ACM CHI 2024) Best Paper Award (ACM ISS 2023) ETH Zurich Postdoctoral Fellowship Multiple best paper recognitions at CHI, UIST, and IEEE VR Teaching & Leadership : Course developer for CMU's "Interactive Extended Reality" Mentor for NASA SUITS Challenge team Co-chair roles at CHI and UIST Overseeing PhD students and research interns

Su Ryon Shinمشاهده پروفایل

استادیار

• Bioengineering
• Tissue Engineering
• 3D Bioprinting
• +۷ مورد دیگر

Dr. Su Ryon Shin is an Assistant Professor in the Division of Engineering in Medicine at Harvard Medical School and Brigham and Women's Hospital (BWH) in Cambridge, MA. She leads an active research laboratory focused on bioengineering, tissue engineering, and regenerative medicine, with particular expertise in 3D bioprinting, biomaterials, and organ-on-a-chip technology. Her research interests span biohybrid robotics, decellularized extracellular matrix, stem cell-based tissue engineering, and volumetric muscle regeneration . Dr. Shin's work integrates advanced biomaterials with cellular systems to create innovative solutions for tissue regeneration and disease modeling. She has pioneered approaches using human stem cell-derived materials for volumetric tissue regeneration and developed biohybrid neuromuscular robots powered by living cardiac muscle cells. Her publication record demonstrates consistent productivity with over 180 publications, including numerous first/senior author papers in high-impact journals like Science Robotics, Advanced Materials, and Nature Reviews Bioengineering . Her work shows a clear progression from fundamental biomaterials development to increasingly complex tissue engineering applications and translational research. Dr. Shin has received significant recognition including being named a 2025 BWH Health & Technology Innovation Awardee , Highly Cited Researcher 2024 by Web of Science, and multiple Stepping Strong Innovator Awards (2015, 2018, 2020). Her research has been featured in Nature Reviews Bioengineering for breakthrough work on biohybrid robots. She actively mentors students and postdocs, with former lab members accepted to prestigious programs like MIT's PhD program in Chemical Engineering. Her collaborative approach is evident through numerous interdisciplinary projects with researchers across Harvard Medical School, BWH, and international institutions.

Leid Zejnilovicمشاهده پروفایل

استادیار

• Technology and Innovation Management
• Human-Computer Interaction
• Machine Learning
• +۳ مورد دیگر

Leid Zejnilovic is an Assistant Professor at Nova School of Business and Economics (Nova SBE), where he co-founded the Data Science Knowledge Center and serves as Academic Director, and co-founded the Open and User Innovation Knowledge Center as Scientific Deputy Director. He also co-founded the Patient Innovation platform, enabling patients and caregivers to share self-made healthcare solutions. With a double PhD from Carnegie Mellon University and Católica-Lisbon School of Business and Economics, his career spans over 20 years of international consulting, academic entrepreneurship, and teaching at institutions like Imperial College Business School and Ludwig Boltzmann Institute. PhD in Strategy, Entrepreneurship and Technological Change (Carnegie Mellon University / Catholic University of Portugal, 2014) Master in Engineering and Public Policy (Carnegie Mellon University, 2012) Master in Information Technology (Dzemal Bijedic University, 2007) Bachelor in Telecommunications (University of Sarajevo, 2002) His research focuses on Technology and Innovation Management, Human-Computer Interaction, and data-driven solutions across healthcare, tourism, and education. He has published extensively in journals like California Management Review , PLoS ONE , and Marine Policy , with recent work analyzing big data in tourism, machine learning for oral health, and pandemic impacts on fisheries. As an Associate Editor for Data & Policy Journal , his contributions bridge academic research and real-world applications. Co-founding the Data Science for Social Good Foundation and leading over 100 talks in industry and academia, Zejnilovic's career emphasizes translating innovation into social and economic impact through platforms, policy, and education.

• Biomaterials
• Tissue Engineering
• Regenerative Medicine
• +۵ مورد دیگر

João F. Mano is a Full Professor at the Department of Chemistry, University of Aveiro, and Director of the Doctoral Program on Biotechnology. He leads the COMPASS Research Group and serves as Vice-Director at CICECO - Aveiro Institute of Materials. His academic appointments include Invited Professor at University of Lorraine (France), Visiting Professor at KAIST (South Korea), and Adjunct Professor at Ajou University (South Korea). Education: PhD in Chemistry (1996, Technical University of Lisbon); D.Sc. in Tissue Engineering, Regenerative Medicine and Stem Cells (2012, University of Minho) Research Interests focus on Biomaterials for Regenerative Medicine , integrating Nanotechnology , Microtechnology , and Biofabrication . His group develops Bioinspired Materials using polymer chemistry, Decellularized Extracellular Matrix , and 3D Bioprinting to engineer Cell Microenvironments for therapeutic applications. Recent Publications highlight advancements in Human-Derived Hydrogels , Photopolymerizable Scaffolds , Magneto-Responsive Biomaterials , and Programmable Bioinks . Trends show emphasis on Organ-on-a-Chip integration, Smart Living Materials , and Green Bioprinting methodologies. Scientific Awards include: European Research Council Advanced Grants (2015, 2020) Fellow at IUPAC, European Academy of Sciences, and American Institute of Medical and Biological Engineering ERC Proof of Concept Grants Doctor Honoris Causa from University of Lorraine and Utrecht UNESCO Chair on Biomaterials George Winter Award (European Society for Biomaterials) Supervisions & Collaborations encompass 74+ MSc, 26+ PhD students, and 40+ postdocs. He co-founded METATISSUE and CELLULARIS Biomodels , and serves as Editor-in-Chief of Materials Today Bio .

• Information Systems
• Operations Management
• Business Strategy
• +۵ مورد دیگر

Henrique O'Neill is an Associate Professor (with Habilitation) in the Department of Marketing, Operations and General Management at ISCTE - University Institute of Lisbon, Portugal. He is an Integrated Researcher at ISTAR-Iscte - Research Center in Information Sciences, Technologies and Architecture. His research focuses on information systems adoption, organizational strategy, and process optimization in healthcare, finance, and public administration. Education: PhD in Business Organization and Management - University of Cranfield (1995) Master's in Electrical and Computer Engineering - Higher Technical Institute (1987) Bachelor's in Electrical Engineering - Higher Technical Institute (1983) Research Interests: His work spans business/IT strategy, systems modeling, process analysis, and technology implementation. Key domains include healthcare informatics, banking systems, and Industry 4.0 applications. He emphasizes practical solutions for organizational performance through technology integration. Publication Trends: Recent articles explore intelligent business systems, telemedicine, design science methodologies, and supply chain innovation. His work consistently bridges theoretical frameworks with sector-specific applications in healthcare, education, and logistics. Professional Engagement: Member: Portuguese Telemedicine Association, Order of Engineers Commissioner: INEM (National Institute of Medical Emergency) reform study Director: Center for IT Development (2010-2014) Advising & Projects: Supervises 7 graduate students (1 PhD, 6 Master's). Leads EU-funded projects including: Atlantic Crossing (2024-2025): US-Portugal academic collaboration in AI/cybersecurity AAL4ALL (2011-2015): Ambient Assisted Living ecosystem UNITE (2000-2002): Ubiquitous teamwork platforms

• Systems and Control
• Autonomous Systems
• Robotics
• +۳ مورد دیگر

Pedro Urbano Lima is a Full Professor at the Department of Electrical and Computer Engineering, Instituto Superior Técnico (University of Lisbon). His research focuses on Systems, Decision, and Control, with expertise in autonomous systems and robotics. He teaches courses such as 'Autonomous Systems' and supervises integrative projects in electrical and electronic engineering. Affiliation: Institute of Systems and Robotics (ISR) Emails: pedro.lima@tecnico.ulisboa.pt , pal@isr.ist.utl.pt His academic work emphasizes control systems, decision-making algorithms, and the development of autonomous technologies. He contributes to both teaching and research in the field of electrical and computer engineering. Alternative page: http://omni.isr.ist.utl.pt/~pal

• Biotechnology
• Biocatalysis
• Enzyme Engineering
• +۴ مورد دیگر

Pedro Carlos De Barros Fernandes is an Associate Professor at Universidade Lusófona , Deputy Director of the 1st cycle in Biotechnology, and an integrated researcher at the Institute of Bioengineering and Biosciences (iBB-IST). He holds a PhD in Biotechnology (1999) and a Master in Biotechnology/Biochemical Engineering (1994) from Universidade Técnica de Lisboa (IST), along with a Chemical Engineering degree from IST (1989). A member of the Order of Engineers (ID 24667), he co-founded Biotrend, a Portuguese bioprocess development company. Education PhD in Biotechnology (1999), Universidade Técnica de Lisboa MSc in Biotechnology (1994), Instituto Superior Técnico BSc in Chemical Engineering (1989), Instituto Superior Técnico Research Interests span biocatalysis, enzyme immobilization for food and pharmaceutical applications, marine biotechnology, microfluidic device development for biosensing, and steroid bioconversions using mycobacterial systems. His work integrates process engineering principles with sustainable bioprocessing techniques. Publication Trends show a focus on microreactor technology, enzyme stabilization in non-conventional media, marine-derived biocatalysts, and food waste valorization. Key themes include biocatalytic process intensification, aqueous two-phase systems for biomolecule purification, and sustainable carbon sources for biopolymer production. Scientific Awards UTL/Santander Totta Scientific Award in Biological Engineering (2011) Advising has included supervision of 5 doctoral theses and over 32 master’s theses. His expertise extends to peer-reviewing scientific articles and evaluating R&D projects. Labs & Teams are associated with iBB-IST (Institute of Bioengineering and Biosciences) and BioRG (Universidade Lusófona), with contributions to the Ciência Viva program for science dissemination.

• Information Systems Management
• Data Management
• Agile Methodologies
• +۳ مورد دیگر

Jesualdo Cerqueira Fernandes is an Assistant Professor at ISEG - Lisbon School of Economics and Management , part of the University of Lisbon. He also serves as a researcher at the ADVANCE Centre for Advanced Research in Management, contributing to studies in information systems and management. Education: PhD in Management (ISEG, 2018), Master’s in Information Management (University of Sheffield/Universidade Minho, 1994), and Bachelor’s in Computer Science (Faculty of Sciences, University of Lisbon, 1989) His research focuses on information systems strategy , agile methodologies , gamification , and benefits management . He has explored applications of these topics in environmental sustainability, banking, and insurance sectors. His work often bridges technical implementation with organizational impact. Recent publications highlight his interdisciplinary approach, with studies on gamification for sustainability and benefits management in insurance and banking sectors. Collaborative efforts span industries such as finance, energy, and education. Scientific Award: Commendation by ISEG Dean (2022) for advisory excellence in information systems He has supervised over 40 Master’s students and contributed to curriculum development, including coordination of the Master in Information Systems Management at ISEG.

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.

Rui Pedro Figueiredo Marquesمشاهده پروفایل

استاد

• Information Systems for Business
• Artificial Intelligence in Auditing
• Blockchain Applications
• +۶ مورد دیگر

Rui Pedro Figueiredo Marques is a Professor at the Higher Institute of Accounting and Administration, University of Aveiro, where he teaches Information Systems across technical, bachelor's, master's, and doctoral programs. He serves as course director for the Professional Higher Technical Course in Organizational Informatics and Communication and holds a board position at the Institute of Accounting and Administration, University of Aveiro. As a Full Researcher at GOVCOPP's Competitiveness, Innovation and Sustainability (CIS) group, his work focuses on Information Systems for Business, with recent emphasis on AI, Blockchain, and Business Intelligence applications in auditing and accounting contexts. Marques' academic credentials include a Ph.D. in Computer Science (2014, Universities of Minho/Aveiro/Porto), a Master's degree (2008), and a Bachelor's in Electronics and Telecommunications Engineering (2005, University of Aveiro). He has authored/co-authored over 50 publications, including journal articles, conference papers, and book chapters on topics ranging from ERP systems in auditing to digital transformation in low-density territories. He is editor-in-chief of the International Journal of Business Innovation and actively participates in funded research projects addressing governance, competitiveness, and public policies. His research explores intersections between technology and business practices, with notable contributions to AI in auditing, blockchain's role in financial transparency, and sustainable development frameworks for social economy entities. Notable projects include evaluations of ERP systems' impact on internal audit maturity and frameworks promoting accountability in private social solidarity institutions. Marques' work frequently emphasizes practical applications of technology in audit processes, education, and public sector modernization. He collaborates with institutions like the Portuguese Social Solidarity Sector and has advised on digital transformation strategies for tourism and hospitality industries.

• 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 .