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Wouter LueksView profile

Professor

• Applied Cryptography
• Anonymous Communication
• Privacy-Preserving Systems
• +3 more

Wouter Lueks is a faculty member at the CISPA Helmholtz Center for Information Security in Saarbrücken, Germany. His research focuses on designing secure, practical, and privacy-friendly systems using applied cryptography, anonymous communication, and systems engineering. He leads a lab and actively mentors PhD and PostDoc researchers. Education: PhD in Computer Science (Radboud University, Netherlands), advised by Jaap-Henk Hoepman and Bart Jacobs. Postdoctoral Researcher at EPFL, Switzerland (SPRING Lab). Research Interests: Privacy-preserving systems for humanitarian aid and public health. Cryptography in decentralized networks and anonymous communication. Secure protocols for identity management and voting systems. Key Publications: Recent work includes privacy-preserving digital wallets for aid distribution (IEEE S&P 2025), biometric deduplication systems (IEEE S&P 2024), and decentralized proximity tracing protocols (Commun. ACM 2022). His research emphasizes practical applications of zero-knowledge proofs and attribute-based credentials. Awards: Distinguished Paper Award at IEEE S&P 2023. Runner-up Casper Bowden PET Award 2021 and CNIL-Inria Privacy Award 2021. Advising & Grants: Supervises PhD/PostDoc researchers and collaborates on projects funded by EU and industry grants. Active in open-source contributions, including the zksk library and Lightnion anonymous communication tool. Labs/Teams: Principal investigator at CISPA, collaborates with the SPRING Lab (EPFL) and leads interdisciplinary teams in privacy-enhancing technologies.

Deian StefanView profile

Associate Professor

• Security
• Programming Languages
• Systems
• +6 more

Deian Stefan is an Associate Professor in the Department of Computer Science and Engineering at the University of California at San Diego. His research focuses on secure systems spanning security, programming languages, and systems. He is particularly interested in WebAssembly, JavaScript JITs, language-based security (constant-time programming, memory safety, information flow control), verification for security, and program analysis tools. Co-founder and Chief Scientist at Intrinsic (acquired by VMWare) Contributor to W3C WebAppSec and Node.js Security Working Groups Research Interests: His work addresses secure systems through principled approaches, including: Web frameworks security Browser design security Sandboxing techniques Runtime systems security Constant-time programming WebAssembly and JavaScript JITs Scientific Awards: Distinguished paper award at POPL 2023 IEEE Cybersecurity Award for Practice 2022 Best paper award at CollaborateCom 2010 Most Influential Paper Award at ICFP 2022 First place at CSAW 2020 for applied research Advising: Deian has mentored students including Shravan Narayan, Evan Johnson, Sunjay Cauligi, and Fraser Brown, focusing on security, systems, and programming languages.

• Electrical Engineering
• Smart Grids
• Electric Power Systems Regulation
• +7 more

Dr. Miguel Ángel Sánchez Fornié is a Collaborating Researcher at the Instituto de Investigación Tecnológica (IIT), affiliated with the School of Engineering at Universidad Pontificia Comillas (ICAI). He has been actively involved with IIT since 1980, contributing to European research projects and teaching Smart Grids in Master's programs since 2002. His work bridges industry leadership and academic research, particularly in the digitalization and modernization of electricity systems. Electromechanical Engineering, ICAI (1974) Diploma in Nuclear Safety, MIT, Boston (1977) Postgraduate coursework in Electricity Sector Regulation, 2008 His research focuses on smart grids, electricity system regulation, power system planning and operation, asset management, telecommunications for power systems, cybersecurity, and the application of big data and artificial intelligence in energy systems . He has led and contributed to major European projects such as H2020 and Horizon Europe, focusing on grid resilience, digitalization, and workforce skills development. The recent publications reflect a strong trend toward the digital transformation of electricity distribution networks , with emphasis on metrics, investment analysis, and the integration of distributed energy resources. His work spans from foundational reliability modeling in the 1980s to contemporary policy and technical frameworks for smart grids, showing a lifelong commitment to evolving energy infrastructure. Dr. Sánchez Fornié has been involved in several funded research projects and educational initiatives, including EDDIE, CoordiNet, and Digital Twin for Europe. He has also contributed to workforce development through sectoral skills alliances in the energy domain. He holds leadership roles in external organizations such as FUTURED and the European Technology and Innovation Platform on Smart Energy Networks (ETIP SNET), where he serves as Honorary Co-Chair of WG4. He has organized and participated in numerous scientific conferences and seminars, particularly on digitalization and education in the energy sector. Member, Education for the Digitalisation of the Energy System (EDDIE ASBL), Brussels (2024–Present) Board Member, FUTURED, Zaragoza (2017–Present) Co-Chair (Honorary), WG4, ETIP SNET, Brussels (2017–Present)

• Computer Graphics
• Virtual Reality
• Cultural Heritage Visualization
• +7 more

Carlos Antonio Andújar Gran is a faculty member at the Faculty of Informatics of Barcelona (FIB), Universitat Politècnica de Catalunya (UPC), where he is affiliated with the Department of Computer Science. He actively contributes to the academic community through teaching and supervising numerous student projects, particularly in advanced computing domains. His research interests center on the application of computer graphics, virtual reality, and artificial intelligence to real-world problems. Key areas include the 3D visualization and virtual reconstruction of cultural heritage, physically accurate rendering, intelligent segmentation of images, and the use of machine learning and reinforcement learning in sports analytics, particularly for padel. His work bridges technical innovation with practical applications in cultural preservation and sports technology. The recent publications under his supervision reflect a strong trend in digital cultural heritage, with multiple projects focused on tools for virtual visits, reconstruction, lighting simulation, and web-based 3D visualization of heritage models. Another significant trend is the application of AI to padel, including ball and player tracking, virtual coaching, and training virtual agents using reinforcement learning. These projects demonstrate a consistent focus on computer vision, interactive systems, and data-driven modeling. Carlos Antonio Andújar Gran has supervised a substantial number of students, guiding both undergraduate and master's theses. While specific grant information is not available in the text, his sustained supervision across many years suggests active involvement in research projects. He plays a key role in mentoring the next generation of computer scientists at UPC. His work is closely tied to the Department of Computer Science at FIB, where he collaborates with other faculty members such as Imanol Muñoz Pandiella, Núria Pelechano Gómez, and Mohammadreza Javadiha on various student projects, indicating a collaborative research environment focused on graphics, AI, and VR applications.

• Lexicology
• Lexicography
• Morphology
• +11 more

Cristina Tejedor Martínez is a Professor at the University of Alcalá , Department of Modern Philology . She serves as First Deputy Director of the Doctoral School and coordinates the Linguistic Analysis Research Group , focusing on lexicology, semantics, and translation terminology. Her research spans Anglicisms in Spanish , corpus pragmatics , applied linguistics , and technological tools in language education , with significant projects funded by the Spanish Ministry of Science and European Commission . She has directed studies on tourism language , medical terminology , and dictionary training in pedagogy. Key projects include PRAGMACOR (2022-2026) (corpus pragmatics in telephone interpretation) and Organic.Lingua (2011-2014) (multilingual web portal for agricultural education). She advises PhD students like Soraya García Esteban and collaborates with researchers across Europe. Her publications (15+ peer-reviewed articles) analyze semantic borrowing , machine translation , color metaphors , and neologisms in specialized domains , reflecting her interdisciplinary approach at the intersection of language, technology, and culture.

• Sustainable Engineering
• Graphic Expression in Engineering
• Industrial Design
• +5 more

María Elena Arce Fariña is a Professor in the Department of Industrial Engineering at the Escola Politécnica de Enxeñaría de Ferrol, Universidade da Coruña (UDC). Her academic profile demonstrates extensive involvement in both teaching and research activities within the field of engineering education and sustainable technologies. Her research interests span multiple domains including Sustainable Engineering, Graphic Expression in Engineering, Industrial Design, Energy Efficiency, Textile Technology, Building Energy Analysis, and Computer-Aided Design. These research areas are reflected in her diverse publication record and collaborative projects. Dr. Arce Fariña's recent scholarly output shows a strong focus on interdisciplinary research connecting engineering education with sustainability challenges. Her publications reveal consistent contributions to high-impact journals in materials science, energy, sensors, and engineering education, demonstrating her ability to bridge theoretical knowledge with practical applications in sustainable industrial design and energy efficiency. She actively supervises bachelor's and master's theses, with recent projects focusing on luminaire design, energy analysis of buildings, industrial component replication through reverse engineering, and sustainable textile product development. Her teaching portfolio includes courses such as Digital Design and Development of Textile Products (Master's Degree in Textile Technology and Sustainable Fashion), Graphic Expression (across multiple engineering degrees), and supervision of Final Degree Projects and Master's Theses in Industrial Engineering programs. Dr. Arce Fariña participates in numerous research projects funded by entities including the European Commission, Consejo de Seguridad Nuclear, Fundación Española para la Ciencia y la Tecnología, and regional Galician organizations, demonstrating her ability to secure competitive research funding and collaborate across institutional boundaries.

• Computer Architecture
• High-Performance Computing
• Multicore and Manycore Systems
• +7 more

Miquel Moreto Planas is a Senior Lecturer in the Department of Computer Architecture at the Barcelona School of Informatics, Universitat Politècnica de Catalunya (UPC). He is also affiliated with the Barcelona Supercomputing Center (BSC-CNS), a leading institution in high-performance computing. His academic profile is deeply rooted in computer architecture and high-performance computing, with a strong emphasis on practical and theoretical advancements in multicore systems, memory management, and hardware acceleration. His research interests span a wide range of topics including computer architecture, high-performance computing, multicore and manycore systems, cache and memory management, hardware acceleration for genomics and AI, RISC-V processor design, processing-in-memory, interconnection networks, and real-time systems. These interests are reflected in his extensive publication record and collaborative projects. The most recent articles highlight a significant trend toward interdisciplinary research, particularly the application of advanced computer architecture techniques to bioinformatics and healthcare. Key themes include the acceleration of genomic sequence alignment using novel hardware such as processing-in-memory, the development of benchmarks for ARM-based HPC systems in genomics, and the creation of AI-based 3D decision support tools for neurosurgical applications. His work also continues to advance core computer architecture topics like cache management, power-aware resource allocation in heterogeneous systems, and the design of secure, post-quantum cryptographic hardware based on RISC-V. Fulbright Award 2011 HiPEAC Paper Award HiPEAC Paper Award 2024 HiPEAC Paper Award Moreto has been a principal investigator or key contributor to multiple competitive R&D+i projects, such as the STRATUM project for neurosurgical tools, REDIOH for open hardware, and the Laboratorio Zettaescala de Barcelona. He has advised several doctoral students, including López, G., Kostalampros, I., and Haghi, A., and is a core member of the CAP (High Performance Computing) research group at UPC. His work is characterized by strong collaborations with leading researchers like Mateo Valero, Eduard Ayguadé, and Jesús Labarta, often bridging the gap between UPC and BSC-CNS. His laboratory and team affiliations are centered around the CAP group and the Barcelona Supercomputing Center, where he contributes to cutting-edge research in high-performance and embedded computer architectures. His recent work on the BIMSA accelerator and the STRATUM project demonstrates a clear future direction toward applying high-performance computing solutions to critical problems in genomics and medicine.

Mariano RicoView profile

Associate Professor

• Linked Open Data
• Natural Language Processing
• Semantic Web Technologies
• +3 more

Mariano Rico is an Associate Professor at the Polytechnic University of Madrid (UPM), affiliated with the OEG research group in the Artificial Intelligence Department. Previously, he served as a Senior Researcher at OEG (2016-2020) and held teaching roles at the Autonomous University of Madrid (UAM). His primary affiliations include the UPM's Faculty of Computer Science and the UAM's Computer Engineering Department. Education: PhD in Computer Science (UAM, 2009), MSc in Physics (UAM, 1992), and postgraduate studies in Telecommunications Engineering. He conducted research stays at DERI (Ireland) and Freie Universität Berlin, focusing on Semantic Web and Linked Data. Research interests center on Linked Open Data, Natural Language Processing (NLP), and Semantic Web technologies, with contributions to DBpedia's Spanish branch and projects like Wf4Ever and LIDER. He actively collaborates with institutions in Leipzig, Bielefeld, and Berlin on Linked Data and linguistic applications. Teaching: Coordinates courses in NLP, Linguistic Engineering, and Big Data Visualization at UPM and online programs. Has instructed over 300 UAM faculty through teacher training programs on LaTeX, bibliographic management, and digital scholarly practices. Projects: Lead roles in European and national initiatives including SlideWiki, UpGrid, and Neptune. Current work focuses on NLP applications like text summarization (esT5s) and terminology tools (TermInteract). Labs/Teams: Core member of the OEG group, contributing to semantic web infrastructure and NLP tool development. Maintains international collaborations through AKSW and CITEC groups.

• Cartography
• Graphic Engineering
• Historical Geography
• +1 more

Manuel Morato Moreno is a Professor at the University of Seville's Department of Graphic Engineering, affiliated with the School of Engineering. His work focuses on cartographic methodologies, historical geographic representation, and computer-aided design (CAD) applications in engineering and education. University: University of Seville School: School of Engineering Department: Department of Graphic Engineering His research explores the evolution of cartographic practices, particularly in 16th-century Spanish American territories, analyzing empirical and scientific approaches to terrain representation. He has contributed to studies on B-spline surfaces in digital terrain modeling and the integration of CAD tools in descriptive geometry education. Recent publications examine colonial cartography, including maps of the Coatzacoalcos River (2021), Tlacotalpa (2017), and the López de Velasco longitude project (2016). Key themes include historical GIS, topographic visualization, and mapmaking symbolism. Morato Moreno has participated in numerous research projects (e.g., TEP-156 group consolidation) and technical conferences, presenting studies on inclined roadway design (2005), CAD pedagogy (1999), and AutoLISP programming for topography (1997).

• Assistive Technologies
• Health Informatics
• Biomedical Engineering
• +7 more

Dr. Andreu Català Mallofré is a Full Professor at the Universitat Politècnica de Catalunya (UPC), affiliated with the Department of Systems, Automatic and Industrial Informatics Engineering. He serves as the principal investigator at the CETpD - Centre d'Estudis Tecnològics per a l'Atenció a la Dependència i la Vida Autònoma (Technical Research Center for Dependency Care and Autonomous Living) and leads the TOC - Tecnologia Orientada a la Comunitat (Community-Oriented Technology) research group. With an academic career spanning over 30 years, he specializes in assistive technologies, human-computer interaction, and biomedical data analysis. His research interests focus on Wearable health monitoring systems Parkinson's disease management solutions Frailty assessment algorithms Emotion-driven computing Community-embedded technology Gerontechnology applications These areas have produced 367 academic outputs including 59 indexed journal articles, 148 conference papers, and 66 competitive R&D projects. Recent publications demonstrate a clear trend toward multimodal health monitoring combining inertial sensors with biometric data for aging populations . Key application areas include freezing-of-gait detection in Parkinson's patients and distress estimation during assisted mobility. His 2024 work explores agricultural sustainability through data-driven fertilizer optimization. Scientific recognition includes UPC Social Council Award (2013) 20+ years as conference committee member Multiple competitive R&D grants 23391773000 Scopus ID Orcid 0000-0001-8775-1955 As academic advisor, he has mentored 3 PhD candidates including Daniel Manuel Rodriguez-Martin (Human Movement Analysis, 2020) Leonid Ivonin (Physiological Signal Processing, 2014) John Neal Abram Brown (Calm Computing, 2014) His teams operate within Vilanova i la Geltrú's School of Engineering, with strong industry and healthcare sector collaborations.

Toni SusinView profile

Associate Professor

• Numerical Methods
• Physically-Based Simulation
• Computer Graphics
• +4 more

Toni Susin is an Associate Professor of Applied Mathematics at UPC-BarcelonaTech. He leads the Dynamic Simulation Lab, part of the ViRVIG research group in Barcelona. His research focuses on numerical methods, physically-based simulation, and applications in computer graphics and biomechanics. Key research areas include Physically-Based Animation Surgical Simulation Biomechanical Applications Image-Based Modeling Fluid Animation Techniques His recent work spans microbiome data analysis, sports performance tracking, and biomedical simulations. While no scientific awards are listed, his career includes founding three tech companies and mentoring numerous PhD/Master's students in computational methods and simulation technologies.

• Semiconductor Device Simulation
• Nanoelectronics
• TCAD (Technology Computer-Aided Design)
• +3 more

Daniel Nagy is an Assistant Professor at the Department of Electronics and Computing within the Higher Polytechnic School of Engineering at the University of Seville. His research focuses on nanoelectronics, semiconductor device simulation, and TCAD technologies. He leads the ARQCOMP research group, specializing in computer architecture and novel transistor design. Education details are not explicitly provided in the texts, but his academic focus suggests advanced training in electronics engineering or related fields. His research interests include quantum transport phenomena, nanoscale device variability analysis, and computational modeling of FinFETs, nanowire FETs, and nanosheet transistors. He has extensively contributed to TCAD simulation frameworks such as NESS (Nano-Electronic Simulation Software), emphasizing open-source tools. Research Trends: His work emphasizes transistor scaling challenges for sub-2nm nodes, device variability mitigation, and the development of modular simulation tools. Key topics include nanosheet FET optimization, POM-based molecular memory systems, and benchmarking of emerging transistor architectures. His studies often bridge quantum mechanics (via Schrödinger equation modeling) with classical transport phenomena. No scientific awards are mentioned in the provided texts. He has advised no publicly listed PhD/Master’s students. His ARQCOMP group collaborates on next-generation electronic device architectures and simulation methodologies. Labs/Teams: The ARQCOMP group focuses on advancing computer architecture and nanoelectronic device simulation through interdisciplinary approaches, integrating computational physics, materials science, and electrical engineering.

• Specialized Translation
• Professional and Academic English
• Terminology and Lexicography
• +3 more

Adelina Gomez Gonzalez-Jover is a University Professor in the Department of Translation and Interpreting at the University of Alicante since 2001. She holds a BA and PhD in Translation and Interpreting and is a sworn English-Spanish translator. Her research focuses on specialized translation, professional and academic English, terminology, and corpus linguistics. Educational Background: Bachelor’s Degree in Translation and Interpreting, University of Alicante (1999) Doctorate in Translation and Interpretation, University of Alicante (2005) Master’s in Terminology, Pompeu Fabra University (2008) Research Interests: Her work emphasizes specialized translation methodologies, legal terminology, and the application of corpus linguistics. She has published extensively on translation theory, legal language, and bilingual lexicography. Notable contributions include dictionaries for industrial sectors in Valencia and studies on EU institutional translation practices. Professional Activities: Member of the research group ‘El inglés profesional y académico (IPA)’ Former Secretary of the Interuniversity Institute for Applied Modern Languages (IULMA) Collaborator on projects such as ‘TRALICOVA’ and ‘Estudio lingüístico de construcciones verbales fijas’ Awards & Recognition: Her work has received national and international acclaim, particularly for her contributions to legal terminology and EU translation standards. Three doctoral theses have been successfully directed under her supervision, all earning top honors. Teaching & Mentorship: She has taught over 15 courses across undergraduate and postgraduate programs, including ‘Comparative Legal Systems’ and ‘Legal-Administrative Translation’. Over 153 theses have been advised or co-advised since 2020. Labs/Teams: Active member of the research group ‘Phraseology and Multilingual Translation (FRASYTRAM)’ at the University of Alicante.

ALBERTE REGUEIRA LOPEZView profile

Assistant Professor

• Environmental Biotechnology
• Metabolic Engineering
• Biorefinery Design
• +3 more

Alberte Regueira López is an Assistant Professor at the Department of Chemical Engineering, Higher Technical School of Engineering, University of Santiago de Compostela. He holds a Doctorate in Chemical Engineering from the same institution, completing his thesis on Mechanistic understanding of mixed-culture fermentations by metabolic modeling in 2020, supervised by Dr. Juan Manuel Lema Rodicio and Dr. Miguel Mauricio Iglesias. His research focuses on environmental biotechnology, metabolic engineering, and biorefinery design, with an emphasis on microbial fermentation systems for the production of valuable chemicals from waste streams. Key research interests include metabolic modeling of mixed microbial cultures, optimization of biorefinery processes for organic waste valorization, and development of targeted production systems for volatile fatty acids (VFAs). He leads the BIOGROUP research team, investigating the synergistic interactions in microbial communities and applying systems biology approaches to improve bioconversion efficiency. His recent work explores the use of Clostridium species for gas fermentation, hollow fiber membrane biofilm reactors, and the integration of metabolic models with stochastic optimization for biorefinery design. He has pioneered methods to steer microbial production of isobutyric/n-butyric acids and lactic acid through process parameters like pH and substrate composition, while also advancing in-situ product removal strategies for bioreactor systems. Notable contributions include defining protein composition effects on microbial fermentation pathways, developing kinetic models for protein-to-VFA conversion, and applying superstructure optimization techniques for bioprocess design. His work bridges fundamental microbiology with applied engineering solutions for sustainable chemical production.

• Signal Processing
• Machine Learning
• Acoustic Engineering
• +5 more

Manuel Rosa Zurera is a Full Professor at the Universidad de Alcalá, specializing in Signal Theory and Communications. He leads the AES3 research group focused on Acoustic and Electromagnetic Smart Sensor Networks and Signal Processing. His research emphasizes machine learning applications in audio analysis, biomedical signal processing, and passive radar systems. Dr. Rosa holds a PhD from Universidad de Alcalá (1999), supervised by Francisco López Ferreras. Research Interests : Dr. Rosa’s work spans acoustic signal localization, UAV detection, emotion recognition via speech analysis, and evolutionary studies of hominin auditory systems. His innovations include robust detection algorithms for passive radar, energy-efficient anger detection systems, and age/gender classification from speech using neural networks. He has pioneered acoustic sensor networks for urban security and biomedical diagnostics. Key Contributions : Over 150 peer-reviewed articles since 1999 demonstrate his expertise in signal processing for aerospace flutter analysis, real-time violence detection in smart cities, and 3D reconstruction of Neanderthal auditory capacities. His work bridges theoretical signal processing with practical applications in healthcare, surveillance, and evolutionary anthropology. Labs/Teams : Directs the AES3 group and collaborates on EU-funded projects like DVB-T radar systems and acoustic drone detection initiatives. Active in designing microphone arrays for hearing aids and wireless sensor networks.