Find Academic Supervisors

• High-Performance Computing
• Reconfigurable Computing
• FPGA Acceleration
• +7 more

Carlos Alvarez Martinez is a faculty member at the Universitat Politècnica de Catalunya (UPC), affiliated with the Department of Computer Architecture at the Barcelona School of Informatics (FIB). He is a key member of the Programming Models (PM) research group and collaborates closely with the Barcelona Supercomputing Center (BSC). His research focuses on high-performance computing, FPGA acceleration, task-based programming models like OmpSs, and hardware-software co-design for heterogeneous systems. His research interests center on advancing parallel computing through innovative programming models and hardware acceleration. He investigates efficient task scheduling, resource management in multicore and FPGA-based systems, and runtime support for dataflow models. His work enables high-performance execution of complex applications in domains such as scientific computing and cyber-physical systems. He actively contributes to European initiatives like TEXTAROSSA and AXIOM, aiming to develop next-generation exascale supercomputing technologies. The trend in his recent publications shows a strong focus on leveraging FPGAs for HPC, optimizing SpMV operations, improving task scheduling with hardware support, and developing frameworks for multi-FPGA clusters. His work consistently bridges theoretical models with practical implementations, emphasizing performance, scalability, and energy efficiency in heterogeneous computing environments. Scientific Awards: Premi UPC al Compromís Social 2019 Premi Disseny per al Reciclatge 2013 Alvarez Martinez has advised or collaborated with several doctoral students, including Jaume Bosch, Xubin Tan, and Fahimeh Yazdanpanah. He has been involved in numerous competitive R&D projects, often related to high-performance computing and parallel programming models. His work includes significant contributions to educational innovation, particularly in active learning methodologies and formative assessment using interactive systems. He leads and participates in research labs and teams focused on programming models and computer architecture, notably the PM group at UPC/BSC. These teams develop runtime systems, compilers, and hardware accelerators to push the boundaries of parallel computing efficiency and programmability.

• Multisolid dynamics
• Dynamic optimization
• Movement simulation
• +5 more

Gil Serrancoli Masferrer is an Associate Professor in the Department of Mechanical Engineering at the School of Engineering of East Barcelona (EEBE), part of the Polytechnic University of Catalonia (UPC). He is affiliated with the InSup - Research Group in Surface Interaction in Bioengineering and Materials Science and the LAM - Multimedia Applications and ICT Laboratory. His work focuses on biomechanics, computational modeling, and telerehabilitation systems development for clinical applications. Dr. Serrancoli's research spans multisolid dynamics, dynamic optimization, movement simulation, and telerehabilitation systems. His expertise lies in applying computational techniques to solve complex problems in orthopedics, gait analysis, and rehabilitation engineering. His work bridges mechanical engineering with biomedical applications, particularly in musculoskeletal modeling and simulation of orthopedic procedures. He has developed novel computational frameworks for estimating internal musculoskeletal loading and muscle adaptation in various conditions, including hypogravity environments. His recent publications demonstrate a strong focus on in-silico modeling of orthopedic procedures, particularly knee osteotomies (proximal fibular osteotomy versus high tibial osteotomy), with detailed analysis of joint pressure redistribution. He has also pioneered the application of machine learning techniques, particularly recurrent neural networks, to biomechanical problems including cycling biomechanics and running dynamics prediction. His work consistently integrates computational efficiency with clinical relevance. Technical Award - OpenSim+ Advanced Workshop March 2024 Accésit del XLV Congreso de la Sociedad Ibérica de Biomecánica y Biomateriales European Society of Biomechanics Travel Award OpenSim Virtual Workshop - Technical Award OpenSim Visiting Scholar 2017 Enginyers BCN 2018 Dr. Serrancoli leads several competitive R&D projects including 'Muvity: a novel physical telerehabilitation system' for vulnerable populations and 'Simulaciones predictivas in silico para cirugías ortopédicas' (Predictive in-silico simulations for orthopedic surgeries). He collaborates extensively with researchers across Europe, particularly with Jordi Torner, Josep Maria Font Llagunes, and Joan Carles Monllau, and has secured funding from national and regional programs including Plan Estatal de Investigación Científica y Técnica y de Innovación. He is actively involved in the BIOMEC - Biomechanical Engineering Lab and the TecSalut - Research Group in Health Technologies, where he contributes to the development of innovative solutions for healthcare challenges, particularly in the areas of telerehabilitation and computational biomechanics for orthopedic applications.

Elsa Prada NuñezView profile

Researcher

• Condensed Matter Theory
• Quantum Materials
• Topological Insulators
• +14 more

Elsa Prada Nuñez is a Senior Researcher at the Institute of Materials Science of Madrid (ICMM) under the Spanish National Research Council (CSIC) . She leads the Quantum Dynamics of Materials (QUDYMA) group and currently serves as Head of the Theory Department. Her academic career spans multiple institutions, including the Universidad Autónoma de Madrid (UAM), Karlsruhe University, and Lancaster University, with a focus on condensed matter theory and quantum materials. PhD in Physics from UAM (2006) Tenured Scientist at ICMM-CSIC (2020-2025) Senior Researcher at ICMM-CSIC (2025-present) Her research explores quantum phenomena in low-dimensional materials and nanostructures, particularly topological insulators, Majorana zero modes in hybrid nanowires, graphene and 2D crystals, disorder effects, magnetotransport, spintronics, quantum pumping, straintronics, and exciton dynamics. She has directed over 20 students across PhD, Master's, and undergraduate levels, including notable projects on full-shell hybrid nanowires and twisted bilayer graphene. Recent publications highlight advancements in Josephson junctions, Majorana detection, and topological superconductivity in full-shell nanowires. Awards include the Young Female Scientist 2021 from the Royal Academy of Sciences of Spain and Mastercard, and the 2022 Certamen Universitario 'Arquímedes' First Award as a tutor. She has secured significant grants from the Spanish government and European collaborations for projects on quantum materials and topological superconductivity. Principal Investigator for €139,150 Spanish government grant (PID2021-125343NB-I00) Lead on €5,000 ICMM-CSIC grant (2020-2021) Participant in €3.48M EU AndQC project (2019-2023)

• Internet of Things
• Transport Protocol
• Cybersecurity
• +8 more

Alan Briones Delgado is a researcher at the La Salle School of Engineering , Universitat Ramon Llull , with a focus on Internet of Things , Cybersecurity , and Transport Protocols . His work spans projects funded by the European Commission and national grants, including EXCEL4HOUSING4.0 , WeB-Nimbus , and NG-SOC , addressing challenges in cloud computing education, ecological monitoring, and security operations. His research integrates Artificial Intelligence and Wireless Sensor Networks for sustainable solutions. Key research areas include Quality of Service in heterogeneous networks, Environmental Conservation via IoT, and Teaching and Learning strategies for Big Data. Projects like EcoSentinel and BTL-COP highlight his commitment to Environmental Monitoring and Community Policing applications. His collaborations extend to institutions in the UK , Albania , and Western Balkans . Contact: alan.briones@salle.url.edu

• Autonomous Vehicles
• Intelligent Transportation Systems
• Robotics
• +7 more

Miguel Ángel Sotelo Vázquez is a full Professor at the University of Alcalá, leading the INVETT Research Group (Intelligent Vehicles and Traffic Technologies). He holds the Department of Automatic Control and specializes in autonomous systems, particularly in path planning, sensor fusion, and human-vehicle interaction. His research integrates machine learning, robotics, and control theory to address challenges in intelligent transportation systems. He earned his Ph.D. in 2001 with a thesis on autonomous vehicle navigation in partially known environments. His work emphasizes real-world deployment, explainable AI, and safety-critical systems. Recent projects focus on lane change prediction, pedestrian behavior modeling, and cybersecurity for autonomous systems. Key contributions include neuro-symbolic frameworks for decision-making, real-time multi-physics field reconstruction, and cross-cultural studies of pedestrian interactions. He collaborates internationally on urban mobility resilience and hydrogen refueling infrastructure. Research Highlights : Development of knowledge graph-based prediction architectures Experimental validation of human-vehicle interaction in VR environments Creation of the SCOUT trajectory prediction framework

• Renewable Energy Integration
• Power Systems Optimization
• Energy Storage
• +7 more

Daniel Fernández-Muñoz is an Associate Professor at the Universidad Politécnica de Madrid (UPM) , affiliated with the Department of Physical Electronics, Electrical Engineering and Applied Physics. He earned his PhD in 2021 with a thesis on "Generation scheduling in isolated power systems with high variable renewable generation and pump-storage," receiving both the Extraordinary Doctoral Award and Carlos González Cruz Award. He has held academic roles since 2006, including Assistant Professor positions from 2016-2021 and a current permanent Associate Professor appointment. Education : PhD in Electrical Engineering (UPM), DEA in Electrical Engineering (2010), Civil Engineering degree (2006) Research Focus : Renewable energy integration, power system optimization, battery degradation modeling, and frequency control in isolated grids Collaborations : Instituto de Sistemas Eléctricos de Potencia (Austria), EERA Joint Programme on Energy Storage, H2020 project eNeuron His work emphasizes hybrid wind-battery systems , pumped-storage hydropower , and virtual power plants , with notable publications in JCR Q1 journals. He has contributed to the Energy2Win project on sustainability education and served as a peer reviewer for multiple scientific journals. Scientific Awards Premio Extraordinario de Doctorado (UPM) Premio Carlos González Cruz Teaching activities include Physics for Biomedical Engineering and Energy Systems for Telecommunications. He has participated in international conferences as an invited speaker and contributed to projects funded by the Spanish government and private entities.

• Transportation Safety
• Traffic Psychology
• Sustainable Mobility
• +5 more

Sergio Alejandro Useche Hernandez is an active Assistant Professor specializing in transportation safety and traffic psychology, with 134 publications reflecting deep expertise in human behavioral factors within mobility systems. His research spans road safety compliance, sustainable transport adoption, and mental health impacts across diverse populations including cyclists, delivery workers, and public transport users. His primary research interests focus on the intersection of psychology and transportation engineering, particularly sensation seeking in vulnerable road users, gender disparities in mobility choices, and technology-induced distractions. He employs advanced methodologies including Structural Equation Modeling (SEM), cross-cultural surveys, and systematic literature reviews to investigate phenomena like e-scooter adoption barriers in developing countries and mental health outcomes among transport workers. Key contributions include the validated SSC scale for cyclist risk assessment and frameworks for evaluating sustainable mobility policies through interdisciplinary lenses. Analysis of his 15 most recent publications (2024-2026) reveals three dominant trends: (1) growing emphasis on digital distractions across transport modes (cycling, motorcycling, driving), (2) sophisticated gender-based analyses of mobility barriers and safety outcomes, and (3) methodological innovation through integrated theoretical frameworks like TPB-UTAUT. His work consistently bridges academic rigor with policy relevance, particularly regarding last-mile delivery risks and post-crash psychological recovery. While no specific scientific awards are documented in the source material, his extensive publication record in high-impact journals (e.g., Accident Analysis and Prevention , Transportation Research Part F ) demonstrates significant scholarly recognition. The absence of listed advisees suggests primary focus on independent or collaborative research rather than graduate supervision, though his faculty position implies potential mentoring activities. His work shows strong alignment with European mobility policy initiatives and cross-national studies spanning Spain, Australia, Latvia, and the Dominican Republic, indicating robust international collaboration networks.

Mohamed H. DoweidarView profile

Professor

• Computational Biomechanics
• Cell Simulation
• Hyperelastic Materials
• +7 more

Mohamed H. Doweidar is a Full Professor in the Mechanical Engineering Department at the University of Zaragoza, Spain. He is affiliated with the School of Engineering and Architecture (EINA), the Bioengineering Division of the Aragón Institute of Engineering Research (I3A), and the CIBER-BBN (Bioengineering, Biomaterials, and Nanomedicine). His academic career spans over three decades, with teaching roles since 1994 and significant contributions to computational biomechanics and biomedical engineering. Education: Ph.D. in Computational Fluid Mechanics (2004), University of Zaragoza M.Sc. in Engineering Mathematics (2001), Ain Shams University Bachelor's in Statistics & Computer Science (1997), Mansoura University Industrial Engineering Degree (1993), Benha Higher Institute of Technology Research Interests: Focus on Computational Biomechanics , Cell Simulation , Hyperelastic Materials , Finite Element Method , and Error Estimation . His work integrates computational models to study cellular behavior, tissue regeneration, and biomedical applications. Key Contributions: Authored/co-authored books on biomechanics and computational modeling, including "Digital Human Modeling and Medicine: The Digital Twin" (2022). Supervised numerous doctoral students, some of whom received university awards. Active in editorial boards, project evaluations (ANEP), and international conferences. Labs & Groups: Member of the Applied Mechanics and Bioengineering Group (AMB), CIBER-BBN, and I3A. Research spans cell migration , biomaterials , and computational oncology .

Daniel Ortega PonceView profile

Senior Lecturer

• Nanomedicine
• Magnetic Hyperthermia
• Biomedical Engineering
• +3 more

Prof. Daniel Ortega Ponce is a Senior Lecturer at the University of Cádiz's Condensed Matter Physics Department. He holds a PhD in Condensed Matter Physics from the University of Cádiz (2007) and has held positions including Ramón y Cajal Researcher (2020-2024), Marie Curie Fellow at University College London (2009-2012), and leadership roles in institutions like IMDEA Nanoscience and INiBICA. His research focuses on magnetic nanoparticles for biomedical applications, including hyperthermia, tissue engineering, and nanomedicine. Education: BSc in Chemistry of Materials (University of Cádiz, 2001) MSc in Industrial Process Engineering (2003) PhD in Condensed Matter Physics (2007) Research interests span nanomaterials for hyperthermia, magnetic nanoparticle synthesis, and in vivo thermal diagnostics. He leads the Nanoteranostics group at INiBICA and coordinates national and European networks in nanomedicine. Awards include EPSRC Peer Review College membership and Marie Curie fellowships. His work bridges physics, materials science, and clinical translation, with over 60 publications and 15 invited conference talks. Scientific awards include: Ramón y Cajal Researcher (2020-2024) EPSRC Peer Review College Member COST Action Coordinator (RADIOMAG, 2014-2018) Grants and collaborations involve leadership in the RedLab In Silico Electromagnetic Testing Lab and advisory roles for EU and international funding bodies. His research emphasizes computational modeling (in silico) for hyperthermia safety and efficacy, alongside experimental advancements in nanoparticle design.

• 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.

• Computer Science
• Virtual Reality
• Character Animation
• +6 more

Núria Pelechano Gómez is a Professor at the Universitat Politècnica de Catalunya (BarcelonaTech) , affiliated with the Faculty of Informatics of Barcelona (FIB) and the Department of Computer Science (CS) . Her work focuses on Virtual Reality , Crowd Simulation , and Character Animation , with a particular emphasis on immersive environments and user interaction. Education: Master's Degree in Innovation and Research in Computer Science (2012) Degree in Computer Engineering (2010) Master's Degree in Computing (2006) Her research explores the integration of Virtual Reality with Artificial Intelligence to enhance user experiences through dynamic crowd modeling, realistic animations, and adaptive navigation techniques. Recent projects highlight her expertise in Motion Matching , Immersive Simulation , and Physics-Based Animation . Key trends in her publications include: Advancements in Virtual Environments and 3D Modeling . Applications of Machine Learning in Navigation Interfaces . Development of Realistic Crowd Behavior and Social Interaction Systems in VR. Focus on User-Centric Design and Embodiment Techniques . Núria has supervised numerous students on topics ranging from Emergency Scenario Modeling to MR Application Development for immersive systems, contributing to the evolution of Immersive Simulation and Game Development methodologies.

Rafael SebastianView profile

Professor

• Cardiac Computational Modeling
• Artificial Intelligence in Medicine
• Medical Imaging
• +4 more

Rafael Sebastian is a Full Professor at Universitat de Valencia and General Director for Science and Research of the Generalitat Valenciana. He leads the Computational Multiscale Simulation Lab (CoMMLab) and collaborates with institutions like Oxford University and Yale University. Department of Computer Science, Universitat de Valencia CoMMLab Founder Spanish Network of Excellence in Cardiac Modeling His research focuses on multi-scale computational models and artificial intelligence for patient-specific cardiac simulations , aiming to improve arrhythmia risk stratification and therapy planning . Key topics include cardiac conduction system modeling , scar-related ventricular tachycardia , and machine learning pipelines for clinical applications. Recent publications emphasize automata-based simulations for atrial arrhythmias, machine learning in arrhythmia localization, and 3D geometric characterization of aortic diseases. Trends show integration of computational modeling with clinical data and medical imaging . Scientific Awards: Best Poster Award, Functional Imaging and Modeling of the Heart (2021) Cum Laude Award, SPIE Medical Imaging (2009) Student Presentation Award (2011) He has supervised 7 PhD/Master students and led grants exceeding €1 million, including projects like iSARC-GENETICS and iCardioTwins , focusing on digital twin technology and cardiac disease stratification .

• Quantum Optics
• Quantum Information Science
• Quantum Imaging
• +3 more

Prof. Juan P. Torres is a Professor at ICFO (Institut de Ciències Fotòniques) leading the Quantum Engineering of Light research group. His work focuses on generating and tailoring novel forms of classical and quantum light for fundamental quantum theory exploration and applications in secure communications, high-resolution imaging, and precision probing. His research centers on quantum optics and photonics with specialized expertise in spatial and frequency engineering of photons. He pioneers techniques for tailoring spatial entanglement through spontaneous parametric down-conversion schemes, enabling the generation of qudits with on-demand properties. His group actively develops quantum imaging methods using undetected light and explores high-dimensional quantum information processing. Analysis of his recent publications reveals dominant trends in quantum imaging with undetected photons, high-dimensional quantum teleportation, and decoherence-assisted quantum key distribution. His work consistently bridges theoretical quantum mechanics with practical implementations in optical coherence tomography and quantum communication protocols, emphasizing spatial mode manipulation. Prof. Torres maintains active international collaborations with leading researchers including Prof. Bahaa Saleh (CREOL), Prof. Malvin Teich (Boston University), Dr. Fabio Sciarrino (University of Rome), Prof. J. H. Eberly (University of Rochester), and Dr. Alfred U'Ren (UNAM). His laboratory features two fully equipped optical facilities with four optical tables, multiple laser systems across wavelengths, single-photon detectors, nonlinear crystals, and advanced spectroscopy equipment for quantum light generation and characterization.

Tiago Mendes FerreiraView profile

Researcher

• Computational Chemistry
• Biological Membranes
• Molecular Dynamics Simulations
• +3 more

Tiago Mendes Ferreira is a Ramón y Cajal Researcher at the University of Santiago de Compostela (USC), affiliated with the Center for Research in Biological Chemistry and Molecular Materials (CIQUS) and the Department of Physical Chemistry. His research focuses on computational chemistry, molecular dynamics simulations, and solid-state NMR spectroscopy to study lipid membranes and their interactions with guest molecules. He previously held a Junior Research Group Leader position at Martin Luther University Halle-Wittenberg (MLU), Germany, and received a DFG grant for his work on combining MD simulations with NMR experiments. Education : Bachelor's in Theoretical Chemistry from the University of Coimbra, Portugal. PhD in Computational Chemistry (Portugal), funded by the Portuguese Foundation for Science and Technology. Postdoctoral research at the University of Paderborn and MLU, Germany. Research Interests : His work bridges computational and experimental methods to elucidate molecular mechanisms in biological membranes. Key themes include lipid membrane structure, cholesterol effects, and the integration of solid-state NMR data with molecular simulations. He develops novel methodologies for characterizing membrane systems, such as long n-alkanes and bacterial membranes. Key Contributions : Advances in ssNMR methodology for lipid systems. Development of the NMRlipids Databank for biomembrane analysis. Studies on lipid phase behavior and protein-membrane interactions. Awards & Grants : Ramón y Cajal Fellowship (2024–present). DFG Temporary Principal Investigator Grant (Germany). Labs & Teams : He leads the QTEC Group (Theoretical and Computational Chemistry) , which focuses on interdisciplinary approaches to membrane science. His group collaborates internationally on NMR-based biomembrane studies.

• Smart and Sustainable Grids
• Intelligent Systems
• Bioengineering
• +4 more

Dr. Gregorio López López is an Associate Professor at the School of Engineering (ICAI) of Universidad Pontificia Comillas and a member of the Institute for Research in Technology (IIT). His research focuses on Smart and Sustainable Grids, Intelligent Systems, and Bioengineering. He holds a PhD in Telecommunications Engineering from Universidad Carlos III de Madrid (2014), recognized with the Extraordinary PhD Dissertation Award and CISCO-COIT Prize. Education: PhD in Telecommunications Engineering (UC3M, 2014), MSc and BSc in similar fields. His research interests include M2M communications optimization, IoT cybersecurity, and smart grid technologies. He has led over 17 national/EU projects including eFORT and InteGrid. His work spans 64 conference papers and 31 journal publications. Key awards: CISCO-COIT Prize (2015), Extraordinary PhD Award (2015), Deloitte Prize (2021), Lyntia Prize (2022). He advises 4 PhD students, teaches telecommunications subjects, and contributes to cybersecurity initiatives like the RAYUELA project. His lab focuses on integrating cybersecurity with smart grid systems and youth tech safety.