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.
Marc Alier Forment is an Associate Professor at the Universitat Politècnica de Catalunya (UPC), affiliated with the Department of Services and Information Systems Engineering within the Faculty of Informatics of Barcelona (FIB). He is also associated with the Institut de Ciències de l'Educació and serves as Coordinator of the Doctoral Program in Engineering, Science, and Technology Education. His research is conducted through the UPC EduSTEAM - STEAM University Learning Research Group. His research interests span Educational Technology , Artificial Intelligence in Education , Learning Management Systems , Open Source in Education , Ethics in Computing , Sustainability in Education , Mobile Learning , Learning Analytics , and Privacy in EdTech . He emphasizes ethical, secure, and sustainable applications of technology in higher education, particularly in engineering contexts. The recent scholarly output highlights a strong focus on the integration of AI in education (especially through the LAMB framework), ethical implications of generative AI, privacy in learning analytics using edge and fog computing, and innovative pedagogical methods in computer science education. His work increasingly bridges technical computing with humanistic concerns such as ethics, privacy, and social responsibility. Best Paper Award TEEM'22 Premis de Programari lliure 2005 de l'AGAUR VI Premi Davyd Luque a la innovació en les TIC Best interoperability innovation: Moodle simple learning tools for interoperability consumer – Spain Marc Alier Forment has led and participated in numerous educational innovation and R&D+i projects, particularly focused on Moodle/LMS integration, mobile learning, open-source educational tools, and the development of ethical and privacy-preserving technologies. He has mentored and collaborated extensively with colleagues on curriculum development, particularly in embedding sustainability and ethics into computing education. His work is central to UPC’s digital education strategy, especially through the Atenea platform. He leads and contributes to the UPC EduSTEAM research group and has been instrumental in developing STEAM-based lecturer training programs. His projects often involve interdisciplinary collaboration across computing, education, and social sciences, aiming to create holistic, responsible technological solutions for learning.
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.
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.
Vicente Díaz López is a Full Professor in the Department of Mechanical Engineering at Carlos III University of Madrid. He serves as Director of the Duque de Santomaró Institute of Motor Vehicle Safety and Director of the Master's Degree in Railway Engineering. Academic Department: Mechanical Engineering Research Group: Experimental Mechanics, Calculations and Transport Group (MECATRAN) Contact: vdiaz@uc3m.es Research Interests span automotive and railway engineering, focusing on: Intelligent tire systems for grip and friction estimation Vehicular dynamics and stability control Braking efficiency and safety analysis Structural mechanics in transport systems Sensor fusion and neural networks for vehicle parameter estimation Roadworthiness testing methodologies Recent Publications demonstrate expertise in: Brake force estimation techniques Intelligent tire development Vehicle roll stability control Structural failure analysis in transport Low-cost sensor systems for driver monitoring Projects include: Principal investigator of the fBrake software suite (2014–present) for braking efficiency analysis Multiple contracts with technical inspection agencies (ITV) and companies like Bombardier Patent development for driving style evaluation systems
Ana Muñoz Sánchez is an Associate Professor in the Department of Mechanical Engineering at University Carlos III of Madrid, where she conducts research in composite materials, additive manufacturing, and manufacturing processes. Her work bridges theoretical modeling with practical applications, particularly in drilling processes, ballistic protection, and engineering education. Her research focuses on several key areas within mechanical engineering and materials science: Composite materials machining, particularly carbon fiber reinforced polymers (CFRP) Tool wear analysis and optimization of drilling parameters Numerical modeling of manufacturing processes Additive manufacturing applications in medical and educational contexts Ballistic protection systems Engineering education tools and methodologies Dr. Muñoz Sánchez's publication record demonstrates consistent contributions to both fundamental manufacturing research and practical educational applications. Her recent work shows a strong emphasis on improving manufacturing processes for composite materials while simultaneously developing innovative educational tools, including specialized resources for visually impaired students. Her research combines computational methods with experimental validation to address complex engineering challenges. She has secured funding from multiple Spanish research agencies for projects including "DIGITDRILL - Digitalization of industrial drilling process" and "DISEÑO AVANZADO, FABRICACIÓN Y ENSAYO DE PROTECCIONES BALÍSTICAS DE CABEZA (PROTECT_BAL)". Her work has practical applications in aerospace, medical simulation, and inclusive education.
MARIA JESUS GOMEZ GARCIA is an Associate Professor and Secretary of the Department of Mechanical Engineering at the University Carlos III of Madrid. Her research focuses on railway axle diagnostics, multibody system dynamics, and machine learning applications in mechanical systems. She has published extensively on vibration analysis, wavelet transforms, and condition monitoring. Research Trends: Recent articles emphasize railway safety (fatigue crack detection, driveshaft diagnostics), computational techniques (wavelet packet transform, neural networks), and biomedical engineering intersections (tumor microenvironment analysis, oral allergy studies). Contact: Email - mariajesus.gomez@uc3m.es | Phone: 916248380 | Office: 1.1.H22 Agustin de Betancourt, Leganés Campus.
Antonio García Cabot is an Associate Professor in the Department of Computer Science at the University of Alcalá. His research focuses on artificial intelligence, educational technology, natural language processing, and mobile computing. He leads the INTELIA research group (Interaction Technologies and Artificial Intelligence Lab) and previously contributed to the PMI group (Intelligent Mobile Platforms). He earned his Doctorate in Computer Science from the University of Alcalá in 2013 with a thesis titled *Propuesta de un sistema multi-agente para la adaptación de contenidos docentes a las competencias, contexto y dispositivo del usuario*. His work emphasizes accessibility in digital education, gamification in MOOCs, and software engineering innovations like automated code repair using LLMs. Research trends in his 2024-2025 publications include: Advancing AI applications in educational assessment (e.g., automated question generation, distractor design) Improving mobile app usability through gesture-based interfaces and sensor integration Developing large language model-based tools for vulnerability repair and teacher simulation analysis Systematic reviews on digital competence ecosystems and multilingual AI systems His contributions to open educational resources (OER) and accessible virtual campuses have been widely adopted in Latin America. Current research extends into embedded systems education and olfactory stimuli impacts on mobile app performance.
Eva García López is a Professor in the Department of Computer Science at the University of Alcalá. She holds a PhD from the same institution, completing her thesis on improving the usability of interfaces for teaching objects in m-learning in 2013. Her research focuses on usability engineering, artificial intelligence, and educational technology, with emphases on mobile applications, accessibility, and gamification. She is affiliated with the INTELIA research group (Interaction Technologies and Artificial Intelligence Lab) and previously contributed to TIFyC (Information Technologies for Training and Knowledge) and PMI (Intelligent Mobile Platforms). Eva’s work spans developing adaptive learning systems, enhancing digital content accessibility, and leveraging large language models for educational tools. Her projects include MOOC development, social gamification experiments, and usability evaluations of mobile instant messaging apps. She has also explored the impact of olfactory stimuli on user performance and the application of NLP in automated question generation. Her contributions include guidelines for accessible digital content creation and frameworks for personalized learning paths in web engineering curricula. Her research integrates interdisciplinary approaches, combining machine learning, human-computer interaction, and educational theory to address challenges in digital learning ecosystems. Notable contributions include frameworks for curriculum development, methodologies for usability evaluation, and tools for automated code vulnerability repair.
Elena Katia Leal Algara is an Associate Professor at Universidad Rey Juan Carlos, affiliated with the Department of Telematic and Computing Systems. She holds a PhD from Universidad Complutense de Madrid (2010) with a thesis on federated grid scheduling. Her research focuses on Grid Computing, Ubiquitous/Pervasive Systems, and Distributed Scheduling. She contributed to projects like Plan B OS, a middleware-free environment for pervasive computing. Notable research groups include PROGRESSUS (Programming & Sustainability) and PMI (Intelligent Mobile Platforms). Her work emphasizes energy-efficient resource allocation, adaptive scheduling in federated grids, and security protocols in ubiquitous environments. Key achievements include proposals for self-adjusting resource sharing policies and reallocation strategies in dynamic systems. Over 20 peer-reviewed articles span scheduling algorithms, grid infrastructure optimization, and pervasive computing design. Leal Algara's academic career involves advancing decentralized scheduling frameworks and exploring middleware alternatives for distributed systems. Current research interests include sustainable computing and autonomous resource management in federated environments.
Silvia Osuna Oliveras is an ICREA Researcher at the Institute of Computational Chemistry and Catalysis (IQCC), University of Girona, where she leads the OsunaLab research group. She holds a PhD in Chemistry from the University of Girona (2010) and completed postdoctoral training at UCLA under Prof. K.N. Houk with a Marie Curie Fellowship. She has held prestigious positions including Juan de la Cierva, Ramón y Cajal, and ICREA, reflecting her standing as a leading figure in computational chemistry. Her research focuses on theoretical and computational modeling of enzyme catalysis , with an emphasis on understanding reaction mechanisms, designing biocatalysts, and improving catalytic efficiency using quantum mechanics/molecular mechanics (QM/MM) methods. Her work bridges organic chemistry, physical chemistry, and biochemistry, contributing to sustainable and green chemistry through enzyme engineering. The 15 most recent publications analyzed span high-impact journals such as Nature , Nature Catalysis , Nature Chemical Biology , Nature Communications , JACS , and Angewandte Chemie . These works reveal a strong trend in computational enzymology , reaction mechanism elucidation , and biocatalyst design , often integrating advanced simulation techniques with experimental validation. Key subfields include QM/MM, free energy calculations, protein dynamics, and enzyme engineering for organic transformations. Her scientific achievements have been recognized with numerous awards: Premi Nacional d'Investigació 'María Teresa Toral' (2023) Premi Talent Científic Emergent (2023) EuChemS Lecture Award (2022) FCRi Young Talent Researcher (2019) Lilly-RSEQ Young Investigator (2019) EuCheMS Organic Division Young Investigator (2017) RSEQ Young Investigator (2016) FPdGi Research Prize (2016) She leads a well-funded research program supported by the European Research Council (ERC FASTEN Consolidator Grant, GREENZYME and KITZYME Proof of Concept), MINECO (COCOZYME), and EVOCAT projects, managing approximately €2.6 million in grants. Her lab actively contributes to scientific outreach, having published five popular science articles and co-edited a special issue on 'Nanoreactors and Molecular Prisons' in Current Organic Chemistry . The OsunaLab group is based at the Institute of Computational Chemistry and Catalysis (IQCC), a leading research institute at the University of Girona focused on theoretical and computational approaches in chemistry. The group collaborates internationally and trains the next generation of computational chemists, despite no current students being listed in the provided text.
Represa Pérez, César is a faculty member at the University of Burgos , affiliated with the School of Engineering . He has contributed extensively to computer science, parallel computing, and embedded systems through research articles, educational materials, and conference presentations. Education: Doctorate in Parallel & Hybrid Programming (2002). Research Areas: Parallel computing (MPI/CUDA), 3D virtual labs, sensor technology, Android applications, and embedded systems design. Key Collaborations: Co-authored works with José María Cámara Nebreda, Pedro L. Sánchez Ortega, and others on technical education and hardware-software integration. Recent Trends: Focus on smartphone-driven sensors, additive manufacturing monitoring, and educational tools for engineering students.
Iñaki Vazquez Gomez is a Lecturer and Researcher at the University of Deusto , affiliated with the College of Engineering and Department of Computing, Electronics and Communication Technologies . He holds a PhD in Computer Science and Artificial Intelligence (University of Deusto and Lancaster University) and served as Director of Deusto Institute of Technology (2020-2023). His research focuses on Reinforcement Learning , Internet of Things , and Cognitive Robotics , with applications in human-robot interaction and ambient intelligence. Member of European Internet of Things Council Founder of technology startups Editorial board member of International Journal of Ambient Computing and Intelligence His 15 most recent publications (2005-2024) span themes of Autonomous Systems , Context-Aware Computing , and Smart Environments , with subtopics including semantic device communication, adaptive positioning algorithms, and collaborative robotics architectures. 2024: Adaptive Robot Behavior via Reinforcement Learning 2021: Gesture Recognition for Resource-Constrained Devices 2015: Context-Aware Service Matching in AAL Scientific honors include: X Premio UD-Banco Santander de Investigación (2015) Sexenio de Investigación (2018-2025) Profesor Doctor de Universidad Privada (2009-2025) He supervised PhD students like Asier Gonzalez Santocildes and Ignacio Fidalgo Astorquia, while leading grants such as AI-Driven Cognitive Robotics (2021-2024) and Quantum Technologies (2021-2022). His work includes developing middleware for smart spaces and founding the Sentient Things project for self-adapting environmental systems.
Jose Luis Abellan Miguel is a Ramón y Cajal Fellow and Tenure-Track Associate Professor at the University of Murcia's Department of Computer Engineering and Technology. He leads the EcoArTech team and is a European R3 researcher. Previously, he held roles at the University of Ferrara, Boston University, and Universidad Católica de Murcia. His research focuses on GPU architectures, accelerators for machine learning, and privacy-preserving computing, particularly Fully Homomorphic Encryption (FHE). He has authored over 70 peer-reviewed publications and contributed to conferences like ISCA, HPCA, and MICRO. Education: Bachelor's, Master's, and PhD in Computer Science and Engineering (University of Murcia, 2007–2012) Research Interests: Abellan's work emphasizes architectural enhancements for GPU systems, customized accelerators for ML and FHE, and efficient synchronization/communication in many-core architectures. His contributions include tools like MGPU-Sim and STONNE for simulation, and frameworks like FIDESlib for FHE on GPUs. Recognition: HiPEAC Paper Awards (2011, 2019–2024) Top Picks in Hardware and Embedded Security 2024 European R3 Certificate (2024) Editorial roles at ACM TACO and Frontiers in Electronics Grants & Leadership: Recipient of a Ramón y Cajal fellowship and a Consolidación Investigadora grant. He chairs sessions at conferences like ISPASS and serves on TPCs for venues including DATE, HPCA, and MICRO. His lab collaborates with institutions like Georgia Tech, Northeastern University, and Intel. Labs/Teams: He leads the EcoArTech team, focusing on next-gen computing systems via architectural simulators. Collaborators include researchers from MIT, Boston University, and industry partners like NVIDIA and Intel.
Dr. Manuel Valdano is an Assistant Professor at the School of Engineering of Comillas Pontifical University, affiliated with the Institute for Research in Technology (IIT). His expertise lies in computational mechanics and biomechanics, focusing on crashworthiness and vehicle safety engineering using multibody and finite element models. Education: Mechanical Engineering (2018), Universidad Nacional de Rio Cuarto, Argentina Research Interests: Collision biomechanics of vehicle occupants Seatbelt system optimization E-scooter rider safety analysis Finite element modeling of human body responses Certification methods for automotive dummy models Key Projects (2021-2027): Development of High Dynamic Actuator (HDA) for crash simulation (EU-funded) Injury mitigation strategies for Vision Zero initiatives (European Commission) Cervical injury prevention in e-scooter users (Fundación Mapfre) WHO global road safety data analysis (2023) Grants & Collaborations: Línea Directa: Gender biomechanical differences in frontal impacts Autoliv: Simulation and active structures (2023 exchange) CEESAR: New occupant seating positions (2021-2024) Labs/Teams: Affiliated with IIT's Vehicle Safety and Biomechanics research groups, collaborating with Autoliv, WHO, and European automotive safety organizations.
