جست‌وجوی استاد و پژوهشگر

• Parallel Computing
• High-Performance Computing (HPC)
• Programming Models
• +۶ مورد دیگر

Maria Luisa Gil Gómez is a researcher at the Universitat Politècnica de Catalunya (UPC), affiliated with the Department of Computer Architecture and the Barcelona Higher Technical School of Telecommunications Engineering. She holds a PhD in Computer Science and leads research in parallel computing, high-performance computing (HPC), and programming models. Her work focuses on optimizing computational workflows, fault tolerance in distributed systems, and leveraging multi-GPU architectures for scientific simulations. She has contributed to projects like the Programming Models group (PM) at UPC and collaborates with the Barcelona Supercomputing Center (BSC-CNS). Affiliations: UPC Department of Computer Architecture, BSC-CNS, PM Research Group Research Interests: Parallel Programming Models, HPC, GPU Computing, Cellular Automata, Education Technology Her research spans over 147 documented activities, including journal articles, conference presentations, and funded projects. Notable contributions include studies on BCI in music education, distributed algorithms for ARM-based clusters, and the OpenCAL++ framework for parallel cellular automata simulations. She has also explored educational methods integrating creativity and game-based learning in engineering.

• Distributed Systems
• AI/ML Systems
• Databases
• +۷ مورد دیگر

Paolo Romano is a Senior Researcher at the Distributed Systems Group, INESC-ID, and an Associate Professor at the Department of Computer Engineering, Instituto Superior Técnico (IST), Universidade Técnica de Lisboa, Portugal. He holds a PhD in Computer Engineering (2007) and has contributed extensively to research in distributed systems, transactional memory, and autonomic computing. PhD in Computer Engineering, Sapienza Rome University (2007) Master Degree in Computer Engineering, University of Rome Tor Vergata (2002), Summa Cum Laude Certificate of Advanced English, Cambridge University (1997) His research interests span: Dependable Distributed Systems: Fault-tolerance in multi-tier systems, formal verification of distributed protocols, and reliable AI systems. Parallel/Distributed/High-Performance Computing: Transactional memory, GPU programming, and efficient AI/ML systems. Autonomic Systems: Self-optimization of complex systems and adaptive concurrency control schemes. Performance Modeling: Machine-learning-based prediction for complex systems and QoS in cloud platforms. Scientific accolades include: Best Paper Award at ICAC 2014, ICDCS 2012, and NETYS 2013 Best Paper Awards at IEEE Symposium on NCA 2008 and 2007 Best INESC-ID Young Researcher (2011) Distinguished Member, INSTICC He has supervised numerous PhD and MSc students, including current advisees Maria Casimiro, Daniel Castro, and Shady Alaa. Former students include Shady Issa (PostDoc at INESC-ID), Nuno Diegues (Software Engineer at Feedzai), and Diego Didona (PostDoc at EPFL). His research is supported by projects like ARISTOS, Cloud-TM, and Euro-TM, with total funding exceeding 2.4 million euros. Paolo Romano is affiliated with the Distributed Systems Group at INESC-ID, a research laboratory associated with IST, Universidade Técnica de Lisboa.

Ana Belén Gil Gonzálezمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Educational Technology
• Data Mining
• +۴ مورد دیگر

Ana Belén Gil González is an Associate Professor in the Department of Computer Science and Automation at the University of Salamanca, Spain. She is affiliated with multiple research groups including BISITE (Bioinformatics, Intelligent Computer Systems and Educational Technology), CAUSAL (Academic Culture, Heritage and Social Memory), and MIDA (Data Mining). Her work spans across artificial intelligence, educational technology, blockchain applications, and intelligent systems. Dr. Gil González earned her PhD from the University of Salamanca in 2011 with a thesis on "Intelligent Recovery of Digital Educational Content," supervised by Dr. Juan Manuel Corchado Rodríguez and Dr. Sara Rodríguez González. Her research interests focus on applying artificial intelligence and data mining techniques to solve real-world problems. She has made significant contributions to educational technology, developing intelligent systems for digital content retrieval and personalized learning. In healthcare, she has worked on AI applications for medical diagnosis, including breast cancer prediction and Papanicolaou test analysis. Her work in blockchain technology addresses applications in supply chain management and smart cities with a focus on privacy preservation. Additionally, she has explored therapeutic robotics through projects like i-Teddy, which uses doll therapy to improve human interaction. Analysis of her recent publications (2022-2024) reveals a strong interdisciplinary approach with work spanning healthcare AI, educational technology, blockchain applications, and therapeutic robotics. Her research shows increasing focus on explainable AI in medical applications, privacy-preserving technologies for smart cities, and innovative approaches to educational technology. She maintains an active collaboration network across multiple research groups at the University of Salamanca. Dr. Gil González is actively involved in mentoring through her teaching and research supervision. Her extensive publication record across diverse domains suggests successful funding acquisition for her research projects. She is a key member of the BISITE research group, which focuses on bioinformatics, intelligent computer systems, and educational technology. Her work with the CAUSAL group explores academic culture and social memory, while her involvement with MIDA centers on data mining applications. These collaborative environments provide rich interdisciplinary contexts for her research across technology, education, and social applications.

Diego Gutierrezمشاهده پروفایل

استاد

• Computer Graphics
• Light Transport Simulation
• Computational Imaging
• +۵ مورد دیگر

Diego Gutierrez is a Full Professor at the Computer Science Department of the Universidad de Zaragoza, Spain. He leads the Graphics & Imaging Lab at the I3A Institute and is part of the Vision, Image and Neurodevelopment Group at the IIS Aragon Institute. His research focuses on light transport simulation, computational imaging (including non-line-of-sight imaging), virtual reality, material perception, and applied perception for medical applications (via his startup DIVE Medical). He has received the 2022 Eurographics Outstanding Technical Contributions Award and an ERC Consolidator Grant (2016). Education & Affiliations: No explicit education details provided, but he has been a visiting researcher at MIT, Stanford, Yale, UCSD, and other institutions. Research Themes: Physically-based light transport simulation (transient rendering, global illumination) Computational imaging (NLOS imaging, diffractive wave propagation) Virtual reality (user behavior modeling, multimodal perception) Material appearance representation (perceptual metrics, intuitive editing) Medical imaging (visual function assessment) Professional Contributions: Editor in Chief of ACM TAP Associate Editor for ACM TOG and Computer Graphics Forum Program Chair for international conferences Publications & Impact: Over 100 influential papers, including a breakthrough Nature paper on NLOS imaging using diffractive wave propagation. His work on transient rendering, phasor fields, and perceptual material editing has driven field advancements. Grants & Recognition: ERC Consolidator Grant (2016) for intuitive material editing research Named among the 100 most influential researchers of the decade Recipient of the 2022 Eurographics award for technical contributions Labs & Teams: Leads the Graphics & Imaging Lab (I3A Institute) and co-founded DIVE Medical for clinical visual diagnostics. His team's work bridges computer graphics with perceptual science and clinical applications.

• Machine Learning
• Intelligent Data Analysis
• Biomedical Signal Processing
• +۷ مورد دیگر

Jose Rafael Magdalena Benedicto is an Associate Professor in the Department of Electronic Engineering at the School of Engineering, University of Valencia, Spain. He is a core member of the Intelligent Data Analysis Laboratory (IDAL), where he leads research in machine learning, biomedical signal processing, and data science applications in health and industry. Doctorate: Universitat de València (2000) His research interests span machine learning , intelligent data analysis , biomedical engineering , neurocognitive disorders in metabolic and psychiatric diseases , algebraic geometry , and quantum machine learning . His work bridges theoretical advances in symbolic computation and applied AI with real-world problems in medicine and industrial systems. Recent publications show a strong trend in applying machine learning to anomaly detection in enterprise systems, asymptotic analysis of algebraic curves and surfaces, and identifying inflammatory and metabolic biomarkers for cognitive impairment in diabetes and psychiatric disorders. He also explores multimodal video analysis for public safety and quantum reinforcement learning. While no scientific awards are listed in the provided text, his extensive publication record and leadership in research projects indicate significant scholarly contributions. He has supervised doctoral students, including Dr. Juan Francisco Guerrero Martínez and Dr. Javier Calpe Maravilla. His research is supported by ongoing projects in intelligent data analysis, though specific grants are not detailed. He contributes to educational innovation, having developed tools like BiomedChallenge to enhance data science learning. He is actively involved in the Intelligent Data Analysis Laboratory (IDAL) , which focuses on developing and applying advanced data analysis techniques to real-life applications in biomedicine, education, and industry.

Iván Gonzálezمشاهده پروفایل

مدرس ارشد

• Assistive Technologies
• Quantitative Gait Analysis
• Frailty Assessment
• +۸ مورد دیگر

Dr. Iván González is a Senior Lecturer at the University of Castilla-La Mancha (UCLM), affiliated with the Faculty of Social Sciences and Information Technologies. He holds a M.Sc. and Ph.D. in Advanced Computer Technologies from UCLM. As a member of the MAmI Research Group, his work focuses on Assistive Technologies, Smart Health, and IoT-based solutions for healthcare monitoring. He has authored 16 JCR articles and supervised 2 PhD theses with 4 ongoing. Education: M.Sc. in Advanced Computer Technologies, UCLM Ph.D. in Advanced Computer Technologies, UCLM His research interests emphasize Quantitative Gait Analysis, Frailty assessment, and Mild Cognitive Impairment screening using wearable sensors and mobile technologies. Recent projects include the EU-funded TAICare initiative (2021-2023) and Just Move! (2022), focusing on movement analysis and cognitive health monitoring. Key Contributions: - Developed a 3D motion capture system for gait automation - Created emotion recognition algorithms using gait patterns - Designed energy-efficient wearable data storage systems - Pioneered conversational agents for IADL monitoring Academic Service: 2nd Academic Year Coordinator (2020, 2024–present) Computer Engineering Degree Coordinator (2020–2024) Lab Affiliation: MAmI Research Group (specializing in Ambient Intelligence and IoT solutions).

• Radiation Hardening
• Fault-Tolerant Systems
• Microelectronics
• +۵ مورد دیگر

Mario Garcia Valderas is an Associate Professor at the Department of Electronic Technology, Universidad Carlos III de Madrid. He holds roles as Coordinator of the Electronic Technology program and Deputy Director of Infrastructure and Laboratories. His research focuses on radiation-hardened systems, fault-tolerant architectures, and embedded systems for aerospace and space applications. His work emphasizes reliability in microelectronics and FPGA-based solutions, addressing challenges like single-event effects in space and high-reliability computing. Key areas include RISC-V processors, heterogeneous computing, and hardware-software co-design for planetary exploration instruments. Publications highlight advancements in radiation-hardening techniques, error detection/recovery architectures, and fault-injection methodologies. Over 100 peer-reviewed articles and book chapters evidence his contributions to microelectronics and embedded systems reliability. He leads the Microelectronic Design and Applications (DMA) research group and collaborates with institutions like CNA for combined irradiation testing. His research spans from theoretical design hardening to practical implementations in aerospace-grade electronics.

Ginevra Castellanoمشاهده پروفایل

استاد

• Social Robotics
• Human-Robot Interaction
• Robot Ethics
• +۵ مورد دیگر

Ginevra Castellano is a Professor in Intelligent Interactive Systems and Director of the Uppsala Social Robotics Lab at the Department of Information Technology of Uppsala University. Her research focuses on developing ethical and trustworthy human-robot interactions across education, healthcare, and transportation systems. Castellano's work explores critical dimensions of social robotics including robot ethics, autonomy, human oversight, gender fairness, transparency, trust, and relationship formation. She employs a dual approach combining computational skill development for robotic systems with rigorous human user evaluations to study acceptance and social consequences. Her interdisciplinary research bridges computer science, psychology, ethics, and social sciences. Her recent publications (2023-2025) reveal strong trends toward trustworthy autonomous systems, with emphasis on human-robot trust measurement, socio-legal frameworks for robotics, gender considerations in design, and healthcare applications including perinatal depression screening. Her work demonstrates increasing attention to artificial awareness and human-centered design principles. Castellano has received significant recognition including the 10-Year Technical Impact Award at the ACM International Conference on Multimodal Interaction (2019) and the Frontiers in Robotics and AI Outstanding Associate Editor Award (2021). As Principal Investigator, she has led multiple national and EU-funded projects on ethical human-robot interaction. Notably, from 2012-2016 she coordinated the EU FP7 EMOTE project developing educational robots for classroom environments. She currently serves as Associate Editor for Frontiers in Robotics and AI and ACM Transactions on Human-Robot Interaction, while actively contributing to the Swedish AI Society and ACM/IEEE Conference on Human-Robot Interaction Steering Committee. Castellano founded and directs the Uppsala Social Robotics Lab, which investigates how humans and robots can coexist and collaborate effectively while maintaining ethical standards and human values. The lab's research spans multiple application domains with particular focus on creating socially intelligent robotic systems that enhance human experiences while addressing critical societal questions.

• Natural Language Processing
• Corpus Linguistics
• Computational Linguistics
• +۴ مورد دیگر

Hugo Sanjurjo-González is an Associate Professor at the Department of Computing, Electronics and Communication Technologies within the Faculty of Engineering at the University of Deusto. He holds a PhD in Intelligent Systems from the University of León with international distinction and Summa Cum Laude honors. Specializes in Natural Language Processing, Corpus Linguistics, and Computational Linguistics Develops software for multilingual corpus processing and linguistic data analysis Active in ontology-based writing assistance tools and semantic annotation Research Highlights: Focuses on integrating Deep Learning with NLP techniques, particularly Large Language Models (LLMs), to enhance linguistic data processing. Has contributed to multiple digital humanities projects involving theater corpora, parliamentary discourse, and culinary translations. Recent Publications: Special Issue HAIS 2021, PhrasIS benchmark, Content-based Authorship Identification Framework, and Theater Corpus Tools. Scientific Recognition: Mariano Rodríguez Award for Young Researchers Multiple prototype competition awards Professional memberships in academic societies Ongoing research grants in AI and language technology

PABLO QUESADA BARRIUSOمشاهده پروفایل

استاد

• Remote Sensing
• Parallel Computing
• GPU Acceleration
• +۳ مورد دیگر

Pablo Quesada Barriuso is a Professor at the University of Santiago de Compostela's Department of Electronics and Computing, affiliated with the Higher Technical School of Engineering. He holds a PhD in Information Technology (2015, Cum Laude) from the same institution, focusing on real-time spectral-spatial classification of n-dimensional images using GPUs. His research emphasizes parallel computing techniques for hyperspectral/multispectral remote sensing data processing, targeting low-cost devices to optimize real-time analysis and storage efficiency. Research interests include GPU-accelerated algorithms, wavelet-based denoising, mathematical morphology, and deep learning applications for environmental monitoring. He has been part of the Computer Architecture Group since 2010, contributing to projects like the Galician Rivers Multispectral Anomaly Detection Dataset and CGAN-based reconstruction models. His publications (2013-2025) highlight innovations in superpixel segmentation, watershed algorithms on GPUs, and ELM-based classification systems. While no awards are explicitly listed, his work demonstrates significant contributions to efficient GPU computing for remote sensing challenges. Advising and grants information is not detailed in the provided text. His work is closely tied to the ARQCOMP (Computer Architecture) research group, exploring hardware-software co-design for high-performance imaging solutions.

Pablo Ordejónمشاهده پروفایل

استاد پژوهشی

• Electronic Structure Calculations
• Condensed Matter Physics
• Computational Materials Science
• +۳ مورد دیگر

Pablo Ordejón is a CSIC Research Professor, Group Leader, and Director at the Catalan Institute of Nanoscience and Nanotechnology (ICN2). He earned his physics degree (1987) and PhD in science (1992) from Universidad Autónoma de Madrid. His career includes postdoctoral work at the University of Illinois at Urbana-Champaign (1992–1995) and roles at Universidad de Oviedo (1995–1999) and the CSIC’s Institut de Ciència de Materials de Barcelona. Since 2007, he leads ICN2’s Theory and Simulation Group. He has published over 225 articles, with 34k+ citations (h-index 63). Roles: CSIC Research Professor, ICN2 Director (since 2012), Group Leader Affiliations: ICN2, CSIC, Editorial Boards of Physica Status Solidi (since 2004) and Nanomaterials (since 2018) Research focuses on electronic structure calculations, large-scale atomistic simulations (e.g., SIESTA method), and materials properties at the atomic level. Key interests include nanoscale devices, 2D materials, and collaborations with industry. Awards include the Narcís Monturiol Medal (2018) and American Physical Society Fellowship (2005). His work spans computational methods, thermal transport in 2D materials, and corrosion inhibition. Recent articles address AI-driven materials discovery, charge density waves, and quantum transport phenomena. He co-founded SIMUNE, a spinoff for simulation technologies. Grants and advisory roles include ANEP’s Condensed Matter Physics panel (2003–2006) and the Spanish Supercomputing Network’s Physics and Engineering Panel (2005–2011).

Mariella Dimiccoliمشاهده پروفایل

استاد

• Computer Vision
• Robotics
• Action Recognition
• +۷ مورد دیگر

Mariella Dimiccoli is a Científica Titular (equivalent to Professor) at the Institute for Robotics and Industrial Informatics (IRI), a joint research center of the Spanish National Research Council (CSIC) and Universitat Politècnica de Catalunya (UPC). She is actively involved in cutting-edge research in computer vision, robotics, and multimodal AI, with a focus on egocentric vision, action recognition, and temporal video understanding. Position: Científica Titular (Professor) Institution: IRI, UPC-CSIC Research Subline: Perception and Manipulation Email: mdimiccoli@iri.upc.edu Her research interests center on enabling machines to understand human actions and interactions through visual and auditory signals. She works extensively on unsupervised and weakly supervised learning methods for video analysis, particularly in untrimmed and egocentric videos. Her work integrates insights from robotics, machine learning, and cognitive science to build systems capable of perceiving and predicting human behavior in dynamic environments. The recent publications highlight a strong trend in temporal modeling of video data, multimodal fusion (especially audio-visual), and explainable AI. Her work spans from fundamental representation learning to applied robotics, with a consistent focus on grounding AI models in real-world sensor data and human behavior. She actively supervises graduate students and leads significant research projects such as AWESOME and SAFEDYP025, which aim to model temporal structures in videos and enable safe autonomous planning through episodic memory. These projects reflect her leadership in integrating prior knowledge into AI systems for long-term autonomy. PhD Student: Elena Belén Bueno Benito Master's Student: Xabier Blázquez González Her research is supported by national and European funding, including participation in the RAMON LLULL: AIRA Postdoctoral Programme and leadership in projects like AWESOME and GreenVAR. These grants underscore her role in advancing AI and robotics in Spain and Europe. Mariella Dimiccoli leads research within the Perception and Manipulation subline at IRI, contributing to the development of intelligent robotic systems that can perceive, interpret, and interact with humans and environments through multimodal sensing and learning.

• Basic Psychology
• Cognitive Psychology
• Humanistic Psychotherapy
• +۱۷ مورد دیگر

Professor Juan Pedro Núñez Partido is a faculty member at the Department of Psychology, Faculty of Human and Social Sciences, Pontifical University of Comillas, Spain. With over 33 years of academic experience, he has held key leadership roles, including Director of the Department of Psychology since 2013, and has been actively involved in research, teaching, and clinical supervision. Education: PhD in Philosophy and Letters, Pontifical University of Comillas (1998) Graduate in Psychology, Pontifical University of Comillas (1991) His research interests are deeply interdisciplinary, focusing on mental functions, consciousness, emotions, schizophrenia, humanistic psychotherapy, and the philosophical implications of AI and neuroscience . He integrates cognitive, clinical, and existential perspectives, often exploring the tension between scientific reductionism and humanistic understanding of the mind. His work emphasizes family dynamics, emotional regulation, and ethical dimensions of psychological practice. The selected publications reflect a strong trend in bridging psychology with philosophy and ethics , especially in understanding consciousness, freedom, and the limits of artificial intelligence. Many articles examine schizophrenia from a family and quality-of-life perspective, while others critique the over-medicalization of education and behavior. His scholarship combines empirical research with theoretical depth, particularly in unconscious learning, gestalt therapy, and sibling relationships in mental illness. Scientific Awards: No formal awards mentioned in the text. He has advised doctoral students and coordinated academic practicums and master’s programs. His leadership includes directing the Master in Family Counseling and Mediation, the University Intervention Unit, and the Laboratory of Psychology. He has also led research groups on life cycle and family psychology and the Hana and Francisco José Ayala Chair of Science, Technology, and Religion. Although no specific grants are listed, his extensive publication record and leadership roles suggest active research funding and institutional support. He founded and administers the PSI-COGNITIVA mailing list, a forum for cognitive psychology debate, and is a member of the Association for the Study of Motivation and Emotion. His clinical work includes individual, couple, and family therapy since 1992, with prior experience in substance abuse intervention (1993–1995).

• Computer Architecture
• High-Performance Computing
• Hardware Transactional Memory
• +۷ مورد دیگر

Adria Armejach Sanosa is a Senior Lecturer in the Department of Computer Architecture at the Faculty of Computer Science of Barcelona (FIB), Universitat Politècnica de Catalunya (UPC). He is also affiliated with the Barcelona Supercomputing Center (BSC-CNS), a leading institution in high-performance computing in Europe. His research spans computer architecture, high-performance computing, memory systems, and hardware acceleration for genomics and machine learning. PhD from UPC His research interests focus on optimizing computer systems for performance and efficiency, particularly in the areas of hardware transactional memory, cache optimization, RISC-V architectures, and acceleration of bioinformatics workloads. He investigates how to improve data movement, prefetching, and parallelism in large-scale heterogeneous systems. His work combines architectural innovations with practical implementations on real-world HPC platforms. The most recent articles reflect a strong trend towards high-performance computing for genomics, sparse data handling, and efficient hardware/software co-design. Topics include genomics benchmarking on ARM processors, tensor marshaling, RTL simulation scalability, and low-precision training for deep neural networks. These works demonstrate a consistent focus on bridging architectural research with real-world applications in science and AI. HiPEAC Paper Award 2024 HiPEAC Paper Award Armejach has advised several doctoral students, including J. Pavón, G. López, and J. Osorio. He has been involved in numerous competitive R&D+i projects such as Digital Autonomy for RISC-V in Europe, Laboratorio Zettaescala de Barcelona, and Genome Analysis Acceleration on HPC Architectures. These projects are often funded by national and European programs, indicating strong recognition and support for his research. He collaborates extensively within the CAP (High-Performance Computing) research group and with key figures like Miquel Moreto, Mateo Valero, and Osman Unsal. He is a member of the CAP research group and contributes to initiatives like the Laboratory for Open Computer Architecture and systems (RISC-V Chip Development) and the Barcelona Zettascale Lab. These labs focus on open hardware, European technology sovereignty, and next-generation supercomputing. His work on Metro-MPI for RTL simulation and hardware accelerators for databases highlights his contributions to both design automation and data-intensive computing.

Magnus O. Myreenمشاهده پروفایل

استاد

• Formal verification
• Interactive theorem provers
• Compilers
• +۶ مورد دیگر

Magnus O. Myreen is a Professor at Chalmers University of Technology in the Department of Computer Science and Engineering. His research focuses on formal verification , interactive theorem provers, compilers, machine code, and functional programming. He leads the CakeML project, aiming to create verified compilers and runtime systems. Education: B.A. in Computer Science from University of Oxford, Ph.D. in Program Verification from University of Cambridge. Current Roles: Professor at Chalmers, part-time researcher at Arm Ltd., and steering committee chair for ITP conference. His research integrates decompilation into logic , proof-producing synthesis , and verified stacks that connect software and hardware verification. Recent work includes verified compilers for Scheme and Dafny via CakeML, and end-to-end verification of subgraph-solving algorithms. Key publications highlight verified compiler ecosystems , including bootstrapping CakeML, cross-architecture compilation, and hardware verification. Trends in his work emphasize automated reasoning , compiler optimization , and verified computation for AI/ML . Scientific Awards: BCS Distinguished Dissertation Competition 2010 ACM SIGPLAN Most Influential POPL Paper Award 2024 Amazon Research Award for Compiling Dafny to CakeML (2023) Myreen has supervised PhD students Alejandro Gomez , Oskar Abrahamsson , and Andreas Loow . Funding includes grants from the Swedish Research Council and a Royal Society University Research Fellowship . He also contributes to projects like Milawa and HOL Light verification.