Adrián García Gutiérrez is a Professor in the Department of Aerospace Engineering at the University of León's College of Engineering. His research focuses on aerospace systems, uncertainty quantification in CFD, atmospheric boundary layer modeling, and airship technology. Recent publications highlight his work in parallel orbital propagation algorithms, stochastic optimization of high-altitude platforms, and neural network applications for wind profiling. Key trends include aerodynamic modeling under uncertainty and interdisciplinary approaches combining turbulence analysis with LiDAR measurements. He contributes to educational innovation in aerospace engineering through simulation-based learning tools and leads the GITA Tecnología Aeroespacial research group.
Pooran Memari is a CNRS Researcher at the Laboratoire d'Informatique de l'École Polytechnique (LIX), UMR CNRS 7161, Institut Polytechnique de Paris, and an Affiliate Professor (part-time) at École Polytechnique. She leads research in geometric modeling within the GeomeriX team at LIX-Inria, focusing on theoretical foundations and applications in accessibility and neurocognition. Her academic journey includes: HDR (Habilitation à diriger des recherches), Institut Polytechnique de Paris, 2024 Ph.D. in Geometric Modeling, INRIA Sophia-Antipolis, 2010 Master in Image and Geometry, University of Nice-Sophia Antipolis, 2006 Engineering Degree, École Polytechnique, 2005 Bachelor in Mathematics, Sharif University of Technology, 2002 Dr. Memari's research bridges geometric modeling, computational geometry, and computer graphics with real-world impact. She pioneers techniques in shape representation, point pattern synthesis, and surface reconstruction, advancing proximity encoding and clustering algorithms. Her work extends to accessibility applications—developing geometric models for visually impaired navigation through multisensory perception—and neurocognition validation via tactile interfaces. This interdisciplinary approach integrates theoretical rigor with practical tools like the CGAL library. Recent publications (2024-2019) reveal a cohesive trajectory in geometric processing: advancing point pattern synthesis through image-based editing (Patternshop), stability-incorporated neighborhood graphs (SING), and multi-class disk distributions; innovating surface reconstruction via Voronoi-based methods (BallMerge); and expanding applications to virtual worlds simulation and neurocognitive accessibility. Key themes include bridging discrete geometry operators with high-dimensional data analysis and translating theoretical insights into tools for visual computing. Dr. Memari actively mentors the next generation of researchers, advising eight PhD students on topics ranging from generalized Voronoi diagrams to neurocognition-driven tactile navigation. She coordinates Computer Science Projects for École Polytechnique's Bachelor program since 2019 and co-leads the Interaction, Graphics & Design master's program at IP-Paris. Her leadership extends to editorial roles at Computer Graphics Forum and Graphical Models Journal, alongside prominent conference positions including SGP Program Co-Chair (2023) and Eurographics STARs Co-Chair (2025). As a core GeomeriX team member, she drives collaborative projects in geometric modeling and virtual environments. She coordinates the LIX Seminar since May 2025 and serves on the French Eurographics Chapter board, fostering community engagement through initiatives like the IGD master's program and Eurographics symposia.
Daniel Jimenez Gonzalez is a faculty member at the Universitat Politècnica de Catalunya (UPC), affiliated with the Department of Computer Architecture within the School of Informatics (FIB). He is an active researcher in programming models and high-performance computing, contributing extensively to the field through publications, projects, and academic supervision. Research Interests: His work focuses on Computer Architecture , Programming Models , and Parallel Computing . He investigates task-based programming, runtime systems, compiler optimizations, and performance modeling for multi-core and heterogeneous architectures. His research addresses challenges in scalability, energy efficiency, and resilience in modern computing environments. His recent publications show a consistent trend in task-based programming models , runtime scheduling , and performance optimization across diverse architectures, including NUMA and GPU-accelerated systems. The work spans from theoretical modeling to practical implementation, often targeting real-world HPC applications. Scientific Awards: No awards explicitly mentioned in the provided text. Advising and Grants: While specific students are not listed, his involvement in doctoral theses and R&D projects suggests an active role in mentoring graduate students. He has participated in both competitive and non-competitive R&D+i projects, indicating grant acquisition and project leadership experience in areas related to programming models and computer architecture. Labs and Teams: He is a member of the UPC PM - Programming Models research group, which focuses on the design, analysis, and optimization of modern programming paradigms for high-performance systems.
Oscar Romero Moral is a Professor at the Polytechnic University of Catalonia (UPC), affiliated with the Department of Services and Information Systems Engineering at the Barcelona School of Informatics (FIB). He leads research in the inSSIDE, inLab FIB, and DTIM groups, focusing on data management, data science, and big data technologies. His work emphasizes knowledge graphs, data governance, and machine learning integration with data systems. Affiliations: UPC, inSSIDE, inLab FIB, DTIM Group Research Interests: Data Management, Data Engineering, Big Data, Knowledge Graphs, Data Governance, Machine Learning Integration He has authored over 276 academic contributions, including peer-reviewed articles on federated healthcare data systems, GPU-accelerated workflows, and graph-driven data integration. His recent work addresses challenges in heterogeneous computing, automated data governance, and scalable data architectures. Romero has served on the program committees of major conferences like VLDB, ICDE, and EDBT, and led competitive research projects in data systems and analytics. He collaborates extensively with industry partners and academic institutions, driving innovations in distributed data management and edge computing.
Julio Garrido Campos is a full-time researcher at the University of Vigo , affiliated with the School of Industrial Engineering and the Department of Systems and Automation Engineering . He is a member of the research group EN.EDI Efficient and Digital Engineering , focusing on advanced robotics, industrial automation, and digital manufacturing standards. Education: Doctor from the University of Vigo (1999) with a thesis on technical information exchange in concurrent engineering environments, supervised by Dr. Ricardo Marín Martín. His research spans mechatronics , cable-driven parallel robots (CDPR) , motion control systems , and STEP-NC standards for manufacturing. Recent work includes marine robotics applications for underwater load handling, 3D printing for maritime plastic circular economy initiatives, and digital twin development for industrial automation. Publications highlight trends in robotics for rehabilitation , custom non-conventional robotics , and energy-efficient manufacturing . He has contributed to frameworks for integrating simulation, control, and management tools in industrial digital twins. No specific scientific awards are mentioned in the provided text. Labs & Teams: Garrido Campos works within the Laboratorio de manutención e informática industrial Ricardo Marín , a group dedicated to industrial automation and mechatronics research for 25+ years.
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.
Dr. José Manuel Fernández is a Full Professor at the Polytechnic University of Madrid (UPM), specializing in antenna engineering, microwave systems, and millimeter-wave technologies. His research focuses on innovative designs for 5G communication systems, including phased arrays, 3D-printed components, and reconfigurable antennas. He leads projects involving W-band filters, Ka-band SATCOM systems, and low-cost phased array prototypes. His work emphasizes practical applications in aerospace, telecommunications, and energy harvesting. Fernández is affiliated with the Interspace5G research group and contributes to educational initiatives, such as bachelor’s and master’s thesis guidance. He has authored numerous peer-reviewed articles on topics like gradient-index lenses, frequency selective surfaces, and manufacturing processes for mm-wave devices. Research Interests: Dr. Fernández’s expertise spans antenna design, waveguide technologies, and additive manufacturing for RF components. His recent work addresses challenges in beam steering, polarization control, and robust filter designs for high-frequency systems. He also investigates cost-effective fabrication methods, such as electroplating and 3D printing, to enhance mm-wave device performance. Grants & Projects: Fernández has secured funding for predoctoral contracts and scholarships, supporting doctoral research in antenna engineering and related fields. He collaborates on initiatives like DEMERSTEM, focusing on stock identification for sustainable fisheries, and LEHA projects involving measurement systems for 5G terminals. Labs & Teams: His research is anchored in UPM’s advanced labs, including the Interspace5G group, which develops cutting-edge antenna solutions for 5G and satellite communication. He also contributes to interdisciplinary efforts in materials science and aerospace engineering.
Chiara Santolin is a Researcher at the Universitat Pompeu Fabra (UPF), affiliated with the Speech Acquisition and Perception (SAP) Group since October 2017. She holds a Ph.D. in Psychology from the University of Padova (2016) and an M.Sc. in Experimental Psychology & Cognitive Science (Summa cum Laude, 2013), also from Padova. She conducted postdoctoral training at the University of Wisconsin-Madison (USA, 2016-2017). Education: Ph.D., Psychology, University of Padova (2016) M.Sc., Experimental Psychology & Cognitive Science, University of Padova (2013) Her research explores the mechanisms underlying language acquisition, investigating whether these processes are unique to language or shared across domains. She employs interdisciplinary approaches, combining studies with human infants and animal models (e.g., domestic chicks) to examine statistical learning, syntactic structures, and categorization. Recent work includes analyzing infants’ preferences for speech prosody, constraints on non-linguistic grammar learning, and cross-species comparisons of visual and auditory learning. Collaborators include Jenny Saffran (University of Wisconsin-Madison), Giorgio Vallortigara (University of Trento), and researchers at the University of Padova. She actively participates in international conferences, presenting findings on topics like bilingual acquisition and infant cognitive development. Chiara’s research bridges developmental psychology, cognitive science, and comparative biology, aiming to uncover universal learning principles and their evolutionary foundations.
José Herrera Sanz is an Assistant Professor at the Department of Automation, University of Alcalá (Spain). He holds a Doctorate from Universidad Complutense de Madrid (2008) with a thesis titled Modelo de programación para infraestructuras Grid computacionales , supervised by Dr. Rubén Manuel Santiago Montero and Dr. Ignacio Martín Llorente. His research focuses on Grid computing, distributed systems, and sustainability in programming models. He is affiliated with the PROGRESSUS research group (Programming & Sustainability), exploring topics like distributed task scheduling, grid middleware, and high-performance computing applications. His work spans over 15 peer-reviewed articles since 2003, addressing challenges in virtual machine placement, genetic algorithms, and bioinformatics grid benchmarking. Key contributions include the GridWay DRMAA implementation, optimization of fusion physics workflows, and distributed loop execution frameworks. His research emphasizes sustainable computing practices and scalability in grid environments.
Ricardo Augusto Massarico Serafim is a Professor in the Department of Pharmaceutical Chemistry at IQS, University School of Engineering and Chemistry, Ramon Llull University in Barcelona, Spain. He serves as Principal Investigator for the Pharmaceutical Chemistry Research Group (Grup de Química Farmacèutica), leading a research project funded by Agència de Gestió d'Ajuts Universitaris i de Recerca (AGAUR) from January 2022 to June 2025. With an h-index of 10 and 564 citations across 26 research outputs, his work bridges medicinal chemistry and pharmaceutical sciences. Dr. Massarico Serafim's research focuses on developing novel therapeutic agents with particular emphasis on covalent inhibitors targeting USP7 and protein kinases, natural product-based dermatological applications, and treatments for Chagas disease. His fingerprint analysis reveals significant contributions to Protein Kinase research (91%), Cruzipain studies (66%), and investigations into natural compounds like Naringenin, Chlorogenic Acid, and their effects on Trypanosoma Cruzi. His work spans both fundamental biochemical mechanisms and applied pharmaceutical development. His recent publications demonstrate a strong trend toward covalent drug design, particularly for cancer targets like USP7 and protein kinases, while maintaining parallel research on natural flavonoids for topical applications. The 2024-2025 publications show increasing sophistication in molecular design, with multiple papers focusing on unconventional binding modes and scalable synthesis methods for covalent inhibitors. His research combines computational modeling, synthetic chemistry, and biological evaluation to develop targeted therapeutics. Among his notable scientific contributions are the development of covalent USP7 inhibitors with unconventional binding modes, scalable synthetic routes for specialized chemical probes, and comprehensive safety evaluations of natural polyphenols for topical use. His work on chlorogenic acid, apigenin, kaempferol, and naringenin has been particularly influential, with one 2024 paper accumulating 8 Scopus citations and significant social media attention. As Principal Investigator of the Pharmaceutical Chemistry Research Group, Dr. Massarico Serafim leads a multidisciplinary team of approximately 20 researchers including Borrell, Lloveras, Semino, and others. His research has received consistent funding support, with publication output showing steady growth from 1 paper in 2010 to 4 papers in 2025. His collaborations span multiple institutions, with recent external collaborations visible across various country territories as indicated in his research network map.
Alexandre Santos Francisco is Professor of Fluid Mechanics at Fluminense Federal University (Universidade Federal Fluminense) in Brazil, holding a PhD in Nuclear Engineering. He will soon serve as Visiting Professor at the ERC Advanced Grant project DyCon under Prof. Enrique Zuazua (FAU, University of Deusto, and Universidad Autónoma de Madrid), focusing on computational mathematics and porous media research. His academic credentials include: PhD in Nuclear Engineering (1994–2000), Federal University of Rio de Janeiro Master's Degree in Nuclear Engineering (1990–1993), Federal University of Rio de Janeiro Bachelor's Degree in Mechanical Engineering (1984–1990), Federal University of Rio de Janeiro Internship at Petrobras (1988) Francisco's research centers on porous media, computational mathematics, and computational fluid mechanics, with emphasis on numerical methods for heterogeneous media flows. His work bridges nuclear engineering safety, environmental contaminant transport, and industrial process optimization through advanced simulation techniques. Analysis of his 15 most recent publications reveals dominant trends in multiscale modeling for porous media, parallel computing implementations, and reliability assessment in nuclear systems. Key application areas include waste disposal simulation, steam generator integrity, and multiphase industrial processes, consistently integrating mathematical rigor with engineering challenges. No scientific awards are documented in the provided materials. While student advisement details are absent, his upcoming ERC Advanced Grant project DyCon involvement signifies active grant-funded research. The project will expand his work on mathematical control theory for complex systems under Prof. Zuazua's supervision. He collaborates internationally through the ERC DyCon project, leveraging expertise in numerical methods to address multiscale dynamics in porous media, with future work likely advancing computational techniques for energy and environmental applications.
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.
Francisco Manuel Fernández Rivera is a Professor at the University of Santiago de Compostela, affiliated with the Department of Electronics and Computing under the Faculty of Physics. His research focuses on high-performance computing, parallel algorithms, and LiDAR data analysis. He leads the ARQCOMP research group and is part of the Center for Research in Intelligent Technologies (CITIUS). His work addresses challenges in NUMA systems optimization, sparse matrix computations, and geospatial data processing. He holds a PhD from the University of Santiago de Compostela (1988), with a thesis on algorithm partitioning in hypercube computers. His research spans parallel computing frameworks, LiDAR-based infrastructure analysis, and performance modeling of distributed systems. Recent projects include developing thread migration strategies for NUMA architectures and creating tools for LiDAR data visualization and simulation. Key contributions include advancements in LiDAR-based pathfinding, energy-efficient NUMA system management, and parallelization techniques for irregular codes. His work bridges theoretical computer architecture with practical applications in urban planning and environmental monitoring.
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.
Rubén Santiago Montero is an Associate Professor at the Department of Computer Architecture and Systems Engineering, Universidad Complutense de Madrid (UCM). He leads research in distributed systems, focusing on resource provisioning in Grid, Cloud, and edge computing environments. His work emphasizes virtual machine management, cloud federation, and utility computing models. Montero co-leads the OpenNebula project, a widely adopted cloud management platform, and contributed to the GridWay metascheduler. Research interests include distributed resource management, virtualization, and interoperability between cloud infrastructures. He participates in major EU projects such as RESERVOIR, BEACON, and PANACEA, advancing cloud and grid technologies. His contributions span over 200 peer-reviewed publications in top journals and conferences, addressing topics like workflow scheduling, elastic resource allocation, and edge-cloud architectures. Education: PhD in Computer Science (UCM). Grants & Projects: Principal investigator in EU-funded initiatives (e.g., RESERVOIR, BEACON) totaling €20M+. Labs/Teams: Distributed Systems Architecture Group at UCM, collaborating with NASA, IBM, and European research networks.
