Find Academic Supervisors

• Structural Engineering
• Concrete Structures
• Textile Reinforced Concrete
• +3 more

Miguel Fernandez Ruiz serves as Full Professor in the Department of Continuum Mechanics and Structural Theory at the School of Civil Engineering, Polytechnic University of Madrid since March 2021, concurrently holding the position of Subdirector of the School since April 2022. Previously, he held progressive academic roles at École Polytechnique Fédérale de Lausanne (EPFL) from 2004 to 2021, culminating in Senior Scientist appointment in 2014. His academic foundation was established at the Polytechnical University of Madrid, where he demonstrated exceptional performance: Diploma in Civil Engineering (2001), awarded as best student in Spain for the discipline PhD in Civil Engineering (cum laude, 2004) Professor Fernandez Ruiz leads pioneering research in structural concrete systems, with Textile Reinforced Concrete (TRC) as a cornerstone innovation. His theoretical frameworks for punching shear design and limit analysis have been formally adopted in Swiss Codes, Model Code 2010, and Eurocode 2 revisions. This work directly addresses concrete's 8% contribution to global CO2 emissions through refined design methodologies that reduce material consumption while enhancing safety. His research bridges experimental observation with practical implementation, yielding sustainable construction solutions applicable across technological contexts. Professional recognition includes: Best Student in Civil Engineering in Spain (2001) He has co-directed 11 PhD theses and supervised over 25 Master's theses at EPFL. As an active member of UPM's Structural Engineering Research Group, he serves on four journal advisory boards and reviews research proposals for international funding agencies (Belgium, Brazil, Portugal, Switzerland). His dual industry-academia career includes consultancy roles during doctoral studies and partnership in a structural design firm during his EPFL tenure. The Structural Engineering Research Group at Polytechnic University of Madrid forms the nucleus of his current experimental and theoretical work, focusing on carbon footprint reduction through advanced concrete technologies and structural optimization.

Alastair ReidView profile

Researcher

• formal verification
• security
• functional languages
• +1 more

Alastair Reid is a researcher at Intel (2021–present) focusing on formal instruction set architecture (ISA) specifications and model checking processor pipelines. His career spans roles at Google Research (2019–2021) developing Rust verification tools, Arm Ltd (2004–2019) working on formal ISA specifications and vectorizing compilers, University of Utah (1998–2004) on component-based operating systems, Yale University (1994–1998) contributing to Haskell functional reactive programming, and University of Glasgow (1988–1994) in formal specification and verification. Ph.D. in Defining interfaces between hardware and software: Quality and performance , Glasgow University M.Sc. in A precise semantics for Ultraloose Specifications , Glasgow University B.Sc., University of Strathclyde His research interests include formal verification, security analysis, functional programming languages (particularly Haskell and Rust), and computer architecture. He has contributed to the development of machine-readable ISA specifications for ARM, RISC-V, and Intel architectures, and worked on symbolic execution tools like KLEE for Rust verification. Key publications include work on RISC-V specification improvements (2024), formal methods for persistent programming (2023), PLARCH workshop contributions on ISA specification (2023), and foundational papers on ARM processor verification with ISA-Formal (2016). His technical blog posts cover topics in symbolic execution, SMT solvers, and practical verification challenges. Contributions to conferences include committee roles in PLDI (2024), PriSC (2024), and workshop organization in formal methods and programming language design.

• Branding
• Territorial Branding
• Advertising
• +3 more

Fernando Carcavilla Puey serves as Professor at Universidad San Jorge's Faculty of Communication and Social Sciences, teaching Advertising Creativity, Branding, and Final Degree Projects in Advertising/PR and Multimedia Design in Journalism. He concurrently holds dual administrative roles as Coordinator of University Information and International Coordinator for the Advertising and PR degree. His Doctorate in Communication from Universidad San Jorge anchors research centered on branding and territorial branding. Key focus areas include: "Marca España" media representation across political, cultural, and business contexts Digital communication strategies on YouTube/Instagram Crisis management frameworks (e.g., Rubiales case) Political influencer engagement mechanics Publication trends reveal consistent nation branding scholarship since 2014, evolving from traditional press analysis toward contemporary digital platforms. His work demonstrates methodological progression from macro-level media coverage studies to granular social media analytics, particularly examining narrative construction in politically charged environments and luxury brand identity maintenance. Scientific recognition includes: Quinquenium of Teaching Excellence (Universidad San Jorge) While specific student advisement details remain undocumented, his active conference participation and administrative leadership indicate significant mentorship capacity. Current research trajectories suggest ongoing exploration of AI-driven brand perception analytics and cross-cultural digital diplomacy frameworks within Spanish institutional contexts.

• GPU Architecture
• Hardware Accelerators
• Machine Learning
• +3 more

José L. Abellán is a Ramón y Cajal Fellow (Tenure-Track Associate Professor) and European R3 researcher at the University of Murcia's Department of Computer Engineering and Technology. He leads the EcoArTech research group and holds a Ph.D. in Computer Science from the University of Murcia (2012). His career includes postdoctoral positions at Boston University and previous faculty roles at Universidad Católica de Murcia. Dr. Abellán's research focuses on architectural enhancements for GPU systems and customized accelerators targeting machine learning and fully homomorphic encryption applications. His work spans hardware/software co-design, microarchitectural extensions for privacy-preserving computation, and efficient parallel processing. His extensive publication record demonstrates consistent contributions to GPU architecture, processing-in-memory, hardware acceleration for cryptography, and graph neural networks. Recent work has appeared in top computer architecture venues including MICRO, ASPLOS, and HPCA. Awards and Honors HiPEAC Paper Awards (2019, 2020, 2023, 2024) Best Paper Award at IPDPS 2011 Top Picks in Hardware and Embedded Security 2024 European R3 Certificate (2024) Dr. Abellán leads the EcoArTech research team and serves as Associate Editor for ACM Transactions on Architecture and Code Optimization (TACO) and Frontiers in Electronics. He is a Senior Member of IEEE and active in the HiPEAC European network.

• Nuclear Fusion
• Magnetohydrodynamics (MHD)
• Plasma Physics
• +3 more

Shimpei Futatani is a researcher at the Universitat Politècnica de Catalunya (UPC) within the Advanced Nuclear Technologies Research Group (ANT). He holds a doctoral degree and specializes in plasma physics, magnetohydrodynamics (MHD), and nuclear fusion research, with a focus on edge-localized modes (ELMs), turbulence suppression, and plasma confinement in tokamaks. His work integrates nonlinear MHD simulations, experimental validation, and code development (e.g., JOREK) to advance fusion energy technologies. Research interests include plasma edge dynamics, ELM control mechanisms, and ITER-relevant scenarios. He collaborates on projects like the JT-60SA tokamak and contributes to experiments on JET and ASDEX Upgrade. His studies address MHD stability, particle transport, and the role of energetic ions in fusion plasmas. Key projects include the development of hybrid kinetic-MHD models and pellet-triggered ELM simulations. He actively participates in the EUROfusion program, focusing on plasma control and turbulence mitigation strategies for future fusion reactors.

Simeon BallView profile

Senior Lecturer

• Classical Error-Correcting Codes
• Quantum Error-Correcting Codes
• Finite Geometries
• +5 more

Simeon Ball is a Senior Lecturer (Profesor Agregat) at the Universitat Politècnica de Catalunya (UPC), affiliated with the Department of Mathematics and the School of Telecommunication and Aerospace Engineering. His research focuses on classical and quantum error-correcting codes, finite geometries, semifields, and graph theory, with a strong emphasis on applying geometrical and linear algebra methods. He has held academic positions at UPC since 2007, previously holding research roles at institutions like the Technical University of Eindhoven and Queen Mary College, University of London. Ball holds a PhD from the University of Sussex (1994) and a Bachelor of Arts in Mathematics from the University of Cambridge (1989). He has authored three influential books, including Finite Geometry and Combinatorial Applications (2015) and A Course in Combinatorics and Graphs (2024). His work has been supported by grants from the Spanish Ministry of Science, including projects on combinatorics and applications. Ball actively supervises doctoral students and advises master’s theses, focusing on topics like quantum LDPC codes, Hilbert spaces, and geometric quasi-cyclic codes. He teaches courses on quantum computation, linear algebra, and coding theory. Ball is also an editorial board member of the Journal of Geometry and Journal of Combinatorial Theory, Series A . His research contributions span over 150 publications, including seminal works on MDS codes, finite geometries, and quantum error correction. Key achievements include proving the MDS conjecture over prime fields and developing geometric approaches to stabilizer codes.

• Global Program Analysis
• Verification
• Debugging
• +5 more

Manuel V. Hermenegildo is a Distinguished Professor at the IMDEA Software Institute and a Full Professor at the Department of Computer Science, Universidad Politécnica de Madrid. He holds a PhD in Electrical and Computer Engineering from the University of Texas at Austin (1986). His academic career spans over four decades, contributing to global program analysis, verification, and parallel computing. Education: PhD, Electrical and Computer Engineering, University of Texas at Austin (1986) M.S., Electrical and Computer Engineering, University of Texas at Austin (1984) M.S., Electrical Engineering, Technical University of Madrid (1981) Research Interests: His work focuses on global program analysis , verification , and optimization for functional/non-functional properties. He pioneered techniques in abstract interpretation , parallelism , and constraint/logic programming . His contributions include the Ciao programming system and the CiaoPP preprocessor, emphasizing static analysis and program debugging . Key Awards: ACM Fellow Julio Rey Pastor Prize (2006) Elected member of Academia Europaea (2010) Test of Time Award at ICLP 2017 His work has been cited over 10,000 times, with an h-index of 60. Leadership & Contributions: Founded and directed the IMDEA Software Institute Directed Spain's National Research Directorate (1999–2002) Chair of major conferences (POPL 2010, ICLP 2006) Labs & Teams: Leader of the CLIP Lab (Computational Logic, Implementation, and Parallelism) Principal investigator in EU-funded projects on resource-aware computing

Juan Antonio Carral PelayoView profile

Professor

• Software Defined Networks (SDN)
• Internet of Things (IoT)
• Network Protocols
• +3 more

Juan Antonio Carral Pelayo is a Full Professor at the University of Alcalá (UAH), affiliated with the Polytechnic School and the Department of Automática . He has held academic positions since 1998, starting as an Assistant Professor and advancing to his current role. His research focuses on Software Defined Networks (SDN), Internet of Things (IoT), network protocols, and advanced switching architectures . Education: Telecommunications Engineering degree from the Polytechnic University of Madrid (UPM), 1993. PhD in Telecommunications from UAH (2013) with a thesis on advanced Ethernet switch design. Research Contributions : He coordinates the NetIS research group (High-Performance classified) at UAH, exploring intelligent networks and systems. His work spans SDN hybrid protocols, IoT integration, and scalable resource management in dense networks. He has published over 20 articles in top journals and actively participates in national/international conferences. Administrative Roles : Director of Transparency at UAH since 2019, equivalent to a dean-level position. Collaborates with the Madri+d Foundation (VERIFICA panel) and ANECA (Teacher Evaluation Programme). Collaborations & Grants : Extensive involvement in EU, national, and regional projects since the 1990s. His FPU grant (1994-1998) supported early research. Currently leads the NetServ subgroup within NetIS. Labs/Teams : Leads the NetIS group , with 25 researchers focusing on intelligent network systems and SDN/IoT integration.

• Building Energy Modeling
• Artificial Intelligence in Architecture
• Sustainable Architecture
• +6 more

Carlos Fernández Bandera is a Part-Time Lecturer at the University of Navarra , affiliated with the Institute of Biodiversity and Environment (BIOMA) and the SAVIArquitectura Sostenibilidad Ambiental Vivienda Industrialización y Arquitectura research group. His work focuses on building energy modeling, artificial intelligence in architectural design, and sustainable decarbonization strategies. Education: PhD in Architecture, University of Navarra (2016), thesis: "Artificial intelligence as inspiration for generating and designing building thermal models" Research Interests: Carlos specializes in building energy modeling and model calibration methodologies, leveraging artificial intelligence to optimize thermal performance. His work addresses photovoltaic self-consumption , air infiltration validation , and circular economy applications in construction. He investigates digital twin technologies for teaching and designing sustainable buildings. Publication Trends: His recent articles (2025–2024) emphasize HVAC optimization , 3D element interoperability between BIM and BEM, and climate-specific calibration for Mediterranean and high-rise contexts. He explores renewable energy integration and circular economy in food sector sustainability. Correspondence: Email: cfbandera@unav.es

• Artificial Intelligence
• Computer Graphics
• Virtual Reality
• +3 more

Carlos Cglez-Morcillo is an Associate Professor at the Higher School of Computer Science, University of Castilla-La Mancha (Spain), with an active career in academia since 2002. He holds a European PhD in Computer Science (2007) and a degree in Computer Science (2002) with an Extraordinary End-of-Degree Award. Currently, he serves as Academic Director of the Vice-Rectorate of Digital University and Director of the G9 Shared Digital Campus, while also being a founding member of the AIR Research Group and Creative Director of the university spin-off Furious Koalas. PhD in Computer Science (2007) BSc in Computer Science (2002) Technical Engineer in Computer Systems (2000) Research interests include Artificial Intelligence, Computer Graphics, and their applications in rehabilitation technology and educational innovation. His work spans mixed reality systems for stroke recovery, gamification in learning environments, and 3D rendering optimization. He has led 9 research projects with over €550,000 in funding and contributed to over 30 technology transfer initiatives. Recent publications focus on VR/AR applications for neurological rehabilitation, e-commerce metaverse environments, and AI-driven educational tools. His 15 most recent articles reflect interdisciplinary work bridging computer science with healthcare and business innovation. Scientific recognition includes being the first Spaniard to obtain the Blender Foundation Certified Trainer (2009) and leading award-winning projects like ICEIS 2025 Best Student Paper. He actively participates in conferences and media outreach, demonstrating commitment to public engagement through platforms like Naukas and CMM Radio.

• eLearning
• Human-Computer Interaction (HCI)
• Software Engineering
• +5 more

Miguel A. Redondo is a Full Professor at the Department of Tecnologías y Sistemas de Información, University of Castilla-La Mancha (Spain), since 2019. He holds a PhD in Computer Science and Engineering from the same university (awarded in 2002). Research Focus : eLearning, Human-Computer Interaction (HCI), Software Engineering, and eye-tracking assessment. Affiliation : Universidad de Castilla-La Mancha, Campus de Ciudad Real, Spain. His academic career centers on designing model-driven and AI-powered tools to enhance programming education. Key contributions include the GreedEx Tab system for algorithm learning and the COLLECE 2.0 collaborative programming environment. He has pioneered the integration of genetic algorithms for optimizing group learning dynamics and developed immersive systems for algorithmic thinking through augmented/virtual reality. His work spans educational technology , collaborative software , and adaptive learning frameworks . Recent publications emphasize m-learning usability (2024), machine learning in healthcare (2023), and personality-driven group organization (2021). He frequently collaborates with researchers like Ana I. Molina and Yoel Arroyo on topics such as educational data mining and visual modeling languages . While no formal student list or awards are provided in the source text, his leadership in model-driven development for CSCL tools has been cited in numerous works across IEEE, ACM, and Springer venues.

• Video Coding
• Perceptual Quality Optimization
• Neural Networks
• +3 more

Javier Ruiz Atencia is a PartTime Lecturer in the Department of Computer Engineering at Miguel Hernández University of Elche, specializing in Computer Architecture and Telecommunications Technology. He teaches courses including Operating Systems, Programming Languages, and Network Architecture. Current academic appointments at UMH Teaching responsibilities across multiple engineering programs Active research in video coding and perceptual quality optimization Technical expertise in HEVC/VVC standards and neural network applications Research focus centers on perceptual video coding techniques that leverage human visual system characteristics. His work explores: Hybrid contrast & texture masking models QP optimization algorithms Rate-distortion performance analysis Next-generation video compression strategies Perceptual quality assessment frameworks Technical Contributions include development of HEVC intra prediction emulators and network architecture implementations. Current projects focus on integrating dual hybrid neural networks for improved VVC encoding efficiency.

• Computational Astrophysics
• Cosmology
• Galaxy Clusters
• +4 more

Vicente Quilis Quilis is a Full Professor (Catedrático de Universidad) in the Department of Astronomy and Astrophysics at the Faculty of Physics, Universitat de València. He leads research in computational astrophysics and cosmology, with a particular focus on galaxy clusters, cosmic voids, and numerical simulations of cosmological structure formation. He earned his PhD from the Universitat de València in 1998 with a thesis titled "Cosmología numérica formación y evolución de cúmulos de galaxias" (Numerical Cosmology: Formation and Evolution of Galaxy Clusters), supervised by Dr. Diego Sáez Milán. Quilis Quilis's research spans multiple areas of theoretical and computational astrophysics. His work primarily focuses on galaxy cluster formation and evolution , cosmic voids and large-scale structure , numerical methods for cosmological simulations , and astrophysical fluid dynamics . He has made significant contributions to understanding the role of shock waves in structure formation, the properties of intracluster medium, and the development of computational tools for analyzing cosmological simulations. His research group, CompAC (Computational Astrophysics and Cosmology Group), develops and utilizes advanced simulation techniques to study the universe's large-scale structure. An analysis of his recent publications (2022-2025) reveals a strong emphasis on galaxy cluster dynamics, cosmic void studies, and computational methodology development. His work bridges observational cosmology with numerical simulations, particularly through projects like CAVITY (Calar Alto Void Integral-field Treasury surveY) and the development of codes such as ASOHF (Adaptive Spherical Overdensity Halo Finder) and VORTEX for analyzing cosmological simulations. His research shows a consistent focus on understanding the formation history of cosmic structures through advanced computational techniques. While specific awards are not mentioned in the available information, his work has been influential in the field, with his 2007 paper "Fundamental differences between SPH and grid methods" cited 19 times according to zbMATH. Quilis Quilis collaborates extensively with researchers worldwide, as evidenced by his 25 co-authors across multiple publications. His research group CompAC appears to be actively involved in major cosmological projects and code development efforts. His work on the ASOHF halo finder and VORTEX analysis tools suggests significant contributions to the methodology of cosmological simulation analysis. The CompAC Computational Astrophysics and Cosmology Group, which Quilis Quilis is part of, focuses on developing and applying advanced computational methods to study cosmic structure formation. The group's work encompasses galaxy cluster simulations, void studies, and the development of analysis tools for cosmological data. Their research contributes to major projects like CAVITY and involves collaborations with observatories such as Calar Alto.

• Neuroscience
• Physiology
• Motor Control
• +4 more

Raudel Sánchez Campusano serves as a Professor in the Department of Physiology, Anatomy and Cell Biology at Pablo de Olavide University, specializing in neural mechanisms underlying motor control and memory processes. His research integrates electrophysiological recordings, computational modeling, and behavioral paradigms to investigate learning and memory systems. He earned his doctorate from Pablo de Olavide University in 2007 with a thesis titled "Optimized analytical and experimental methods for neuromuscular control of learned motor responses: the eyelid motor system," supervised by Dr. José María Delgado García and Dr. Agnès Gruart. His academic foundation combines rigorous experimental physiology with advanced analytical techniques. Dr. Sánchez Campusano's research spans multiple neuroscience domains: Motor control systems, particularly extraocular and facial motor pathways Memory processes and their deterioration in neurodegenerative conditions Cerebellar and hippocampal contributions to associative learning Neural oscillations and cortical dynamics during cognitive tasks Computational modeling of neural circuits and brain stimulation effects Analysis of his recent publications (2014-2023) reveals a consistent focus on the neural basis of learning and memory, with increasing emphasis on pathological mechanisms in Alzheimer's disease models and translational applications of brain stimulation techniques. His work frequently employs rabbit and mouse models to examine synaptic plasticity in the cerebellum, hippocampus, and prefrontal cortex during motor and cognitive tasks, while developing novel algorithms for neural signal processing. He actively contributes to doctoral programs on "Genesis and Control of Motor Commands with Special Emphasis on Extraocular and Facial Motor Systems" and "Brain Mechanisms Underlying Memory Processes and Their Deterioration." As a core member of the Neuroscience Laboratory and Translational Neuroscience Group (tNeuro), he leads research on cortical circuit dynamics in both healthy and pathological states.

Juan NúñezView profile

Research Professor

• Tunnel Field-Effect Transistors (TFET)
• Low-power electronics
• Emerging semiconductor technologies
• +6 more

Juan Núñez is a Research Professor at the Microelectronics Institute of Seville (IMSE-CNM), part of the Spanish National Research Council (CSIC). His primary research focus lies at the intersection of emerging semiconductor technologies and novel computing paradigms, with particular expertise in tunnel field-effect transistors (TFETs) and their applications in low-power circuit design. Institution: Spanish National Research Council (CSIC) Research Institute: Microelectronics Institute of Seville (IMSE-CNM) Specialization: TFET, Pipeline, Variability, Low-power, Emerging technologies, RTD, NDR, Emerging devices, Dynamic logic Professor Núñez's research portfolio demonstrates a strong evolution from traditional digital circuit design toward emerging computing paradigms. His early work focused on optimizing conventional CMOS circuits and exploring tunnel transistors as potential successors to traditional MOSFETs. More recently, his research has pivoted toward neuromorphic computing, particularly oscillatory neural networks and Ising machines implemented with emerging devices. His work bridges the gap between device physics, circuit design, and computational applications, with a consistent emphasis on energy efficiency. The trend in his recent publications (2020-2024) shows a significant shift toward neuromorphic computing applications, particularly using phase transition materials and oscillatory networks for solving complex optimization problems. His research on VO 2 (vanadium dioxide) based Ising machines represents cutting-edge work in non-von Neumann computing architectures that could potentially solve NP-hard problems more efficiently than conventional computers.