جستجوی استاد راهنمای دانشگاهی

• 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.

• Quantitative Finance
• Derivatives Pricing
• Asset Allocation
• +۲ مورد دیگر

Anna Battauz is an Associate Professor at Bocconi University, teaching undergraduate, graduate, and Ph.D. courses in Calculus, Quantitative Finance, Derivatives Pricing, Numerical Methods for Finance, and Continuous-Time Finance. She serves as Director of the MSc in Finance since 2022 and is a research fellow at IGIER (Innocenzo Gasparini Institute for Economic Research) and Baffi Carefin. Education: Ph.D. in Financial Mathematics from Scuola Normale Superiore in Pisa; Degree in Mathematics from the University of Udine. Research Interests: Anna specializes in Quantitative Finance, with a focus on asset/derivatives pricing, asset allocation, and optimal stopping. Her work bridges theoretical finance with practical applications in financial markets. Publications & Research Trends: Her recent articles explore American options, stochastic interest rates, quanto derivatives, and earnouts in M&A. Topics span mathematical finance, computational methods, and strategic corporate finance, emphasizing pricing models, optimization, and empirical analysis. Scientific Awards: Teaching Excellence Award, Bocconi University (2018) Research Excellence Award, Bocconi University (2014) Research Excellence Award, Bocconi University (2004) Refereeing & Affiliations: Anna acts as a referee for academic publications and contributes to research initiatives at IGIER and Baffi Carefin. Her expertise supports advanced financial modeling and policy development in dynamic market environments.

• Advanced Materials
• Composite Materials
• Smart Materials
• +۸ مورد دیگر

Prof. Raul Fangueiro is a Full Professor and Vice-Dean at the School of Engineering, University of Minho, Portugal. As a Senior Researcher, he leads FIBRENAMICS – Institute of Innovation on Fiber-Based Materials and Composites. His work spans advanced materials (nano, smart, composites) and structures (3D, auxetic, multiscale) with applications in defense, healthcare, construction, and automotive sectors. Supervised over 20 PhD and Post-Doc researchers Scientific coordinator of 20+ national/international research projects Author of 200+ journal papers (H-index: 47), 500+ conference publications, 36 books, 40 patents Research focuses on nanotechnology , electrospinning , and sustainable material systems : Auxetic composites for personal protection Biodegradable nanofibers for medical use Smart textiles for biological/chemical resistance Recycled mineral/wood-based composites Graphene-reinforced green materials Multiscale fiber architectures Scientific recognition includes: Top 2% most influential scientist (Elsevier/Stanford 2020) Founder of AUXDEFENSE and ICNF conferences Editorial board member of leading composite journals Advisor to European Defense Agency/NATO working groups Active in industry-academia partnerships through spin-offs (Sciencentris, B4Logic, Beyond Composites, Givaware, Pixartidea) and collaborative projects with institutions like Instituto Superior Técnico, University of Aveiro, and international universities.

• Artificial Intelligence for Power Systems
• Smart Grids
• Energy Management
• +۴ مورد دیگر

Zita Vale is a Full Professor at the Institute of Engineering (ISEP) of the Polytechnic of Porto (IPP), where she holds the first Full Professor position since 2017. She is a co-founder of GECAD (1999) and coordinates GECAD's Power and Energy (PES) activities. GECAD is recognized by FCT since 2004 and classified as Excellent. She has served as GECAD director (2010-2017), vice-director (1999-2009, 2017-present), and is a member of the administration board. She is also co-founder and member of the coordination board of the National Associated Laboratory on Intelligent Systems. Her educational background includes a PhD (1993) and Agregação/Habilitation (2003) in Electrical and Computer Engineering from the University of Porto. She began her academic career at the University of Porto as a Teaching Monitor (1985), Assistant (1985-1993), and Professor (1993-1998) before moving to ISEP in 1998. Zita Vale's research focuses on the design and development of artificial intelligence-based models for Power and Energy Systems. Her work spans knowledge-based systems, multiagent systems, machine learning, metaheuristics, and semantics, with applications in smart grids, energy management, electricity markets, and renewable energy integration. She has an extensive international network and has participated in 80 R&D projects, raising over 22 million Euros for GECAD. Her recent publications demonstrate a strong emphasis on optimization techniques, explainable AI, energy storage systems, and the integration of distributed energy resources in power systems. She serves as Editor-in-Chief of Applied Energy (Elsevier), a leading journal in the field with an Impact Factor of 11.2. Her citation metrics are impressive, with over 17,000 citations on Google Scholar and an H-index of 64. Editor-in-Chief of Applied Energy (Elsevier) Over 17,000 citations on Google Scholar H-index of 64 Zita Vale has supervised 29 PhD students (25 completed) and 72 MSc students (66 completed), demonstrating her strong commitment to academic mentorship. She has also been involved in numerous international and national evaluation processes, including project proposals, faculty positions, and PhD juries across 15+ countries. She has contributed to over 225 evaluation processes from 2018-2023, including 150+ project proposals/execution, 50+ Faculty/Researchers positions, 2 Habilitation juries, and 25+ PhD juries. She leads GECAD's involvement in several major research initiatives, including the National Associated Laboratory on Intelligent Systems and various European projects such as IoTalentum, TRADERES, DOMINOES, and EcoRural-IoT from Horizon 2020, as well as PRODUTECH EU DIH from Horizon Europe. Her leadership extends to international organizations where she serves as President of Intelligent Systems Applications in Power (ISAP) and Technical Committee Program Chair of IEEE PES Analytic Methods for Power Systems Committee.

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

• 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 .

• 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.

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.

• 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 .

Juho Leeمشاهده پروفایل

دانشیار

• Bayesian deep learning
• Bayesian inference
• meta learning
• +۵ مورد دیگر

Juho Lee is an Associate Professor at the Kim Jaechul Graduate School of AI, Korea Advanced Institute of Science and Technology (KAIST). Previously, he worked as a research scientist at AITRICS and completed his PhD in Computer Science & Engineering at Pohang University of Science and Technology (POSTECH) under Professor Seungjin Choi, followed by postdoctoral research at University of Oxford with Professor François Caron. His research focuses on: Bayesian deep learning Bayesian inference Meta learning Generative models Uncertainty quantification Graph representation learning Professor Lee's work bridges theoretical Bayesian methods with practical deep learning applications. His recent publications demonstrate significant contributions to neural processes, Bayesian optimization, and scalable inference methods. He has developed novel architectures like Set Transformer for permutation-invariant modeling and advanced techniques for uncertainty quantification in deep networks. His research shows a clear trajectory toward making Bayesian principles applicable to large-scale, real-world machine learning problems. Notable contributions include: Set Transformer: A framework for attention-based permutation-invariant neural networks (ICML 2019) Bootstrapping neural processes (NeurIPS 2020) Deep amortized clustering (NeurIPS 2019 workshop) Learning to pool in graph neural networks for extrapolation Professor Lee actively mentors graduate students and has advised numerous PhD candidates who co-author papers with him across NeurIPS, ICML, and ICLR. His research group SIML@KAIST develops scalable and interpretable machine learning methods with strong theoretical foundations.

Armando Jorge Domingues Silvestreمشاهده پروفایل

استاد

• Chemistry
• Polymer Science
• Renewable Materials
• +۳ مورد دیگر

Armando J. D. Silvestre is a Full Professor at the Department of Chemistry, University of Aveiro. He holds academic degrees including a Licenciatura in Chemistry (1990), PhD in Chemistry (1994), and Agregação in Chemistry (2008) from the University of Aveiro. His research focuses on renewable materials, circular economy, and functional biomaterials. Research interests include: Development of biopolymer-based functional materials Valorization of biological residues for value-added chemicals Novel polymeric materials from renewable resources Sustainable nanocomposites and coatings Professor Silvestre has supervised 18 MSc and 11 PhD students to completion and currently mentors 3 PhD and 3 MSc candidates. Research projects include EU-funded initiatives like AFORE (Forest Biorefineries) and national projects on membrane technology and biomass valorization. Scientific contributions include over 180 SCI journal publications and patents on extraction methods. He serves on editorial boards for Industrial Crops and Products and actively participates in academic activities including Erasmus coordination and Bologna process implementation.

• Probiotics
• Functional Food
• Antioxidants
• +۳ مورد دیگر

Ana Maria Gomes is an Associate Professor at the Faculty of Biotechnology of Universidade Católica Portuguesa (UCP), affiliated with the Centre for Biotechnology and Fine Chemistry (CBQF). She holds a PhD in Biotechnology (1999) and specializes in probiotics, functional foods, and bioactive compounds. Her research focuses on enhancing food systems through innovative processing techniques and valorizing byproducts for health benefits. Education: PhD in Biotechnology (1999) Affiliations: CBQF, UCP Faculty of Biotechnology Key Projects: PeptiBiotics (2023-2024), AWARE (2022-2026), VIIAFOOD (2021-2025) Research Interests: Probiotics, functional food development, antioxidant mechanisms, and food biotechnology. She explores applications in antimicrobial peptides, alternative proteins, and sustainable food systems through interdisciplinary collaborations. Recent work includes studies on diatom bioactivity, avocado oil metabolism effects, and high-pressure cheese processing. Awards include the NEWFOOD 2020 prize for food innovation and recognition for obesity-prevention yogurt research. Supervised 46 academic works at UCP Active in grants: FIND4S (2024-2027), STARGATE (2021-2023) Labs/Teams: Leads CBQF’s food biotechnology initiatives and collaborates with the VIIAFOOD innovation platform.

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.

• Manufacturing Management
• Production Planning
• Production Control
• +۱۴ مورد دیگر

Maria Leonilde Rocha Varela is an Associate Professor with Habilitation at the School of Engineering, University of Minho, Portugal, where she also serves as a Senior Researcher at the Algoritmi Research Centre. She has been an integrated member of the Algoritmi Research Centre since 2012 and works in the Department of Production and Systems. Dr. Varela earned her degree in Production Engineering from the University of Minho in 1994, completed a Master's in Computer Integrated Production at DPS-UMinho in 1999, and received her Ph.D. in Production and Systems from the University of Minho in 2007. Her primary research focuses on Manufacturing Management, particularly Production Planning, Control and Optimization, and Collaborative Paradigms, Networks and Decision Making Models. She maintains extensive international collaborations with institutions worldwide including the National Institute of Industrial Engineering, VSB-Technick Univerzita Ostrava, University of Belgrade, and others. Her research spans Web Applications and Services for supporting Engineering and Production Management, with increasing emphasis on Artificial Intelligence, Robotic Process Automation, and Industry 4.0/5.0 applications. She has made significant contributions to scheduling algorithms, optimization techniques, and decision support systems for manufacturing environments. Analysis of her recent publications reveals a strong trend toward integrating Artificial Intelligence with traditional manufacturing processes, particularly in Robotic Process Automation applications. Her research increasingly focuses on sustainable manufacturing practices, with numerous publications addressing energy efficiency, environmental sustainability, and resource optimization. There is a clear emphasis on multi-objective optimization approaches to solve complex manufacturing problems, particularly in distributed job shop scheduling. Her work demonstrates an evolution from traditional production planning methods to more advanced AI-driven approaches for Industry 4.0 and 5.0 environments. Dr. Varela has held significant academic leadership roles, currently serving as the director of the master's course in Engineering and Quality Management at DPS-UMinho. She previously coordinated the industrial management and systems subgroup from 2012 to 2021 and was part of the steering committee for the master's course in systems engineering between 2016 and 2019. She has successfully supervised more than 70 MSc projects, with over 15 currently ongoing, focusing on Production and Systems Engineering. Her supervision encompasses collaborative management models, traditional decision approaches, and web-based platforms incorporating AI techniques. She coordinates research projects including 2 concluded Ph.D. projects and 6 ongoing ones. She collaborates as a research member in several R&D projects with national and international industrial enterprises and institutions, and in international Erasmus projects. Dr. Varela is an active participant in the academic community, serving on editorial boards of several international journals and as a member of organizing and scientific committees for numerous international conferences. She is a member of several prestigious research networks including the Euro Working Group of Decision Support Systems (EWG-DSS), Institute of Electrical and Electronics Engineers (IEEE), Industrial Engineering Network, and the Institute of Industrial and Systems Engineers (IISE).

Ana Paula Mora Tavaresمشاهده پروفایل

پژوهشگر

• Enzyme Immobilization
• Aqueous Biphasic Systems
• Biomolecules Purification
• +۷ مورد دیگر

Ana Paula Mora Tavares is an Assistant Researcher at CICECO-Aveiro Institute of Materials, University of Aveiro, Portugal. She holds a PhD in Chemical Engineering from the University of Aveiro (2006), preceded by a MSc from Federal University of Rio de Janeiro (2000) and a BSc from Estadual University of Rio de Janeiro (1997). Her academic career includes postdoctoral research at LSRE/FEUP (2006–2009) and a Ciência 2008-funded independent position (2009–present). She teaches laboratory classes in Microbial Biotechnology at the University of Aveiro and has been involved in COHITEC’s technology commercialization training. Research Interests: Her work focuses on biomolecules purification (e.g., enzymes, antibodies), ionic liquids, aqueous biphasic systems, nanomaterials, and biocatalysis for organic synthesis. She pioneers applications in enzyme immobilization, anticancer drug development (e.g., L-asparaginase), and eco-friendly bioremediation strategies. Current projects include the InsectERA initiative for circular economy innovation. Awards: 2007 Honourable Mention from Companhia União Fabril for PhD thesis Supervision: 3 PhD students (Ana Filipa Soares Pereira, Ana Isabel Bastos Valente, Ana Sofia Correia Marques) Key Projects: InsectERA (circular economy), COHITEC (technology valorization) Labs/Teams: PATh G5 - Biomimetic Materials Group and L3 Sustainability Unit at CICECO. Her research leverages interdisciplinary approaches, combining chemical engineering with nanotechnology for biomedical and environmental applications.