جست‌وجوی استاد و پژوهشگر

Tiark Rompfمشاهده پروفایل

استادیار

• Compiler Design
• Programming Languages
• Runtime Code Generation
• +۸ مورد دیگر

Tiark Rompf is an Assistant Professor at Purdue University , with research spanning programming languages, compilers, and systems. His work bridges domains including architecture, databases, machine learning, and AI through projects like Reachability Types and Rhyme. Co-director of the Purdue Center for Programming Principles and Software Systems (PurPL) Scientific Advisor at SambaNova Systems Previously a member of the Scala team at EPFL His research focuses on: Runtime code generation and advanced compiler technology Expressive data-centric query languages (Rhyme, Datalog) Reachability type systems for memory safety and effect handling Metaprogramming and logical relations for formal verification Recent publications highlight contributions to Datalog compilation (Flan), nested data structures (Rhyme), and polymorphic reachability types. He leads projects exploring: Compiler optimizations for emerging architectures (GPU, TPU, FPGA) ML-driven compiler improvements Secure multi-party computation via metaprogramming Scientific awards include: NSF CAREER Award (2016) Google Faculty Research Awards (2017, 2018) DOE Early Career Research Award (2017) ACM SIGPLAN PL Software Award (2019) GPCE Test of Time Award (2020) Students and alumni from his group have joined institutions like Databricks, DeepMind, Galois, and Meta. He teaches advanced compiler courses including: CS 590 - Advanced Topics in Compilers CS 352 - Compilers CS 502 - Graduate Compilers

• Human-Computer Interaction
• Educational Technology
• Computer Science Education
• +۳ مورد دیگر

Francisco Javier Oliver Bernal is a Lecturer at the University of Deusto in Bilbao, Spain, within the Faculty of Education and Sport and the Department of Physical Activity and Sports Sciences. He teaches across Computer Engineering, Physical Activity and Sports Sciences, and Primary Education bachelor's programs, as well as the Master's in Secondary Education. He earned his Doctor of Medicine and Surgery from the University of the Basque Country. His research spans Human-Computer Interaction, Educational Technology, and Science Education, with a strong emphasis on accessibility for visually impaired users. He has developed tools for e-learning, digital resource centers, and innovative teaching methodologies in computer science and natural sciences, aiming to enhance educational experiences through technology. His scholarly output, spanning from the 1990s to 2023, demonstrates a consistent focus on technology-enhanced learning, evolving from early work in 3D interfaces and computer graphics to recent applications in health, music, and interdisciplinary educational contexts. Key trends include the integration of accessibility features, the development of domain-specific educational tools (e.g., for biology and astronomy), and responses to contemporary challenges like the COVID-19 pandemic. He has supervised multiple theses on digital accessibility and cooperative systems, though student names were not listed. Details on research grants were not provided in the available text. As a member of the eVida research group (officially recognized by the Basque Government), he contributes to projects advancing accessible educational technologies, including the ACCE project for audiovisual accessibility and READIS digital resource centers for visually impaired users.

• Financial Econometrics
• Macroeconomic Forecasting
• Stochastic Volatility Models
• +۳ مورد دیگر

Maria Helena Lopes Moreira da Veiga is a Full Professor at Universidad Carlos III de Madrid, affiliated with the Macroeconomic and Financial Prediction and Analysis Research Group within the Statistics Department. Her work bridges economics, statistics, and financial engineering with focus on volatility modeling and macroeconomic forecasting. Principal investigator for geopolitical risk and financial contagion projects (2024-2026, 2019-2020) Key research areas: stochastic volatility models, energy markets, Bayesian methods, outlier detection Collaborates with institutions across Denmark, Portugal, France, Spain, and Canada Her publications demonstrate expertise in financial econometrics, particularly asymmetric volatility models and their applications in energy and stock markets. She employs advanced computational techniques like data cloning and wavelet analysis to address model uncertainty and risk measurement. Current projects focus on climate risk indices, AI-driven economic valuation, and high-dimensional time series prediction. She has received continuous funding from national agencies for uncertainty modeling in macroeconomic and financial contexts since 2006.

Paula López Martínezمشاهده پروفایل

استاد

• Computer Vision
• Electronic Design of Intelligent Devices
• Energy Harvesting
• +۴ مورد دیگر

Paula López Martínez is a Full Professor at the University of Santiago de Compostela (USC) and Deputy Director of the Singular Research Centre on Intelligent Technologies (CiTIUS) . Since June 2024, she has held the Televés Microelectronics Chair at USC. Her work bridges Computer Vision and Electronic Design of Intelligent Devices , with a focus on CMOS Image Sensors and Biomedical Applications . Her research spans Energy Harvesting , Device Modeling , and Low-Power Embedded Systems . Key projects include SEMIoTICS (low-power AI at the edge), MISEL (multispectral vision), and NANOEATERS (nanotechnology transfer). She has authored over 100 peer-reviewed papers and served in IEEE leadership roles, including Secretary of the Sensory Systems Technical Committee and Treasury of IEEE Women in Engineering Spain (2006–2008). Recent publications highlight Analog Computing-In-Memory , HDR CMOS Sensors , and Energy-Efficient DC-DC Converters . Her work integrates Photovoltaic Energy Harvesting with Biomedical Device Design , emphasizing Self-Powered Systems and Dynamic Vision Sensors . She employs Verilog-AMS and ATLAS Simulations for CMOS Photodiode Modeling , addressing Crosstalk and Shot Noise in pixel arrays. Notable collaborations include Victor M. Brea, Diego Cabello, and Miguel Heredia Conde. She contributes to IEEE Transactions and Q1-Ranked Journals , with a focus on Hardware Acceleration via FPGA and Custom IC Design . Her expertise spans Thermoelectric Generators , Smart Energy Systems , and Radiation-Hard Transistors .

Víctor Manuel Brea Sánchezمشاهده پروفایل

دانشیار

• Computer Vision
• Electronic Design of Intelligent Devices
• CMOS-3D Hardware Implementation
• +۲ مورد دیگر

Víctor Manuel Brea Sánchez is an Associate Professor at the Research Center on Intelligent Technologies (CiTIUS) within the University of Santiago de Compostela (Spain). His work focuses on hardware implementations for computer vision and CMOS-3D technologies . Research Areas : Computer Vision, Electronic Design, Low-Power Embedded Systems Projects : AZOR (Search, Location, Rescue), Power Management Unit Chip for Energy Harvesting His recent publications emphasize CMOS-based vision sensors , analog computing-in-memory , and spatio-temporal feature extraction . Trends include deep learning acceleration, event cameras, and hardware for real-time object detection. Scientific contributions include the Best Paper Award at the 2003 European Conference on Circuit Theory and Design. Collaborations with researchers like Manuel Mucientes and Paula López highlight interdisciplinary efforts in AI-driven hardware design.

David Garrido Romeroمشاهده پروفایل

استاد

• Maritime History
• Archival Science
• Historiography
• +۳ مورد دیگر

David Garrido Romero is a Professor of Historiographic Sciences and Techniques at the University of Cádiz , actively engaged in maritime history and archival research. As a PhD candidate at CEIMAR (Campus of International Excellence for the Sea) and holder of two master's degrees – one in Maritime Heritage, Archaeology, and History (University of Cádiz, Extraordinary Master's Award ) and another in Documents, Books, Archives, and Libraries (University of Seville) – his academic foundation is robust. His work bridges maritime history, notarial documentation, and digital humanities. Research interests span 18th-19th century maritime history from notarial/documentary perspectives, with specific focus on: Maritime notarial institutions Underwater cultural heritage Historical manuscript digitization Global communication nodes in colonial contexts Archival metadata systems His recent publications highlight maritime legal frameworks, AI applications in archival work, and transatlantic cultural connections. He has participated in critical conferences at international venues (2016-2024) and received recognition for his work on Cádiz' maritime heritage. The Caravel Project (2018-2019) demonstrates his innovative approach to combining maritime archaeology with artificial intelligence. Key scientific contributions include: Developing probabilistic indexing methods for historical documents Digitizing 3200+ notarial maritime records Establishing archival metadata standards for maritime heritage Analyzing Bourbon dynasty reforms through notarial sources His work creates bridges between archival science, maritime archaeology, and digital humanities, ensuring historical sources remain accessible for modern research.

Víctor López Domínguezمشاهده پروفایل

استادیار

• Spintronics
• Magnetic materials
• Electrical transport
• +۵ مورد دیگر

Víctor López Domínguez is an Assistant Professor and Principal Investigator at the Institute of Advanced Materials (INAM) of Jaume I University in Castelló, Spain, where he leads the Spintronics for Advanced Devices Lab (SPINAD Lab). His research focuses on developing next-generation spintronic devices for computing and sensing applications. His academic background includes: PhD in Nanoscience and Nanotechnology (2014) from University of Barcelona Physics Degree (2009) from University of Barcelona López Domínguez's research centers on electrical transport in magnetic materials, magnetization dynamics, and voltage-controlled spintronic devices. His work bridges fundamental physics with practical applications in neuromorphic computing, probabilistic systems, and nanoscale sensors. Key focus areas include antiferromagnetic spintronics, skyrmion manipulation, and energy-efficient computing paradigms that leverage spin-orbit torque and voltage control mechanisms. His 15 most recent publications reveal a strong emphasis on antiferromagnetic memory devices, voltage-controlled magnetism, and neuromorphic applications. The research spans from fundamental material studies to device integration, with significant contributions to silicon-compatible spintronic memory, probabilistic computing hardware, and magnetomechanical sensors. His scientific recognition includes: CIDEGENT grant (2022) from Generalitat of Valencia López Domínguez secured the CIDEGENT grant to establish his research group at INAM, supported by Jaume I University and INAM. His lab trains undergraduate, master's, and PhD students in experimental spintronics while collaborating with international clean rooms and industry partners. Current projects focus on implementing novel computing paradigms using spintronic devices. The SPINAD Lab maintains comprehensive facilities for material fabrication, device characterization, and nanofabrication through Spanish clean room networks. The group collaborates extensively with Northwestern University (where López Domínguez previously worked) and participates in international research consortia focused on next-generation computing technologies.

Juan Carlos Pichel Camposمشاهده پروفایل

دانشیار

• Parallel Computing
• Distributed Computing
• Big Data Technologies
• +۶ مورد دیگر

Juan Carlos Pichel is an Associate Professor at the Center for Research in Intelligent Technologies (CITIUS) within the University of Santiago de Compostela (Spain). He holds a B.Sc. in Physics and a Ph.D. in Computer Science from the same university (2006). His research focuses on parallel and distributed computing, Big Data technologies, quantum computing, and optimization for emerging architectures. He has held visiting positions at University Carlos III de Madrid and University of Illinois at Urbana-Champaign, and worked at the Galicia Supercomputing Center. Education: B.Sc. Physics (USC, Spain), Ph.D. Computer Science (USC, 2006). Research interests include: HPC frameworks (IgnisHPC), quantum computing tools (NetQIR), bioinformatics software (BigSeqKit/VeryFastTree), and misinformation detection systems. His work emphasizes interdisciplinary applications of parallel computing in genomics, health informatics, and social media analysis. Notable contributions: MPI4All (universal MPI bindings), IgnisHPC (HPC-Big Data framework), and VeryFastTree (phylogeny tool). Active in projects like C3HS (health search systems) and HYBRIDS (AI for democratic practices). Labs/Teams: Leads the ARQCOMP research group in Computer Architecture. Collaborates with multidisciplinary teams in bioinformatics, quantum computing, and social media analytics.

Alec F. Dialloمشاهده پروفایل

پژوهشگر ارشد

• Computational Intelligence
• Adversarial Robustness
• Explainable AI
• +۴ مورد دیگر

Alec F. Diallo is a Postdoctoral Research Associate at the University of Edinburgh's School of Informatics, affiliated with the Mobile Intelligence Lab and Institute for Computing Systems Architecture. He concurrently serves as a Machine Learning Engineer at Net AI, bridging academic research with industry applications in secure networked systems. His educational background includes a joint Computer Science and Electrical Engineering degree from École Supérieure d'Ingénieurs en Électronique et Électrotechnique (ESIEE Paris) and Mundiapolis University, followed by a PhD in Computer Science at the University of Edinburgh under Dr. Paul Patras. Dr. Diallo's research centers on computational intelligence with emphasis on adversarial robustness , explainable AI , and optimization algorithms applied to network security. His work develops novel frameworks like Amoeba for censorship circumvention and Sabre for neural network defense, addressing critical vulnerabilities in edge intelligence and secure communications through advanced machine learning techniques. His publication trajectory reveals consistent innovation in applying clustering methods and spectral analysis to cybersecurity challenges, with increasing focus on real-world deployment at network edges. Recent work demonstrates exceptional performance in malicious traffic classification (100% accuracy) and robust adversarial defense across diverse domains including image recognition and network intrusion detection. Notable recognitions include: SICSA 2024 Best Dissertation Award for "Active Intelligence for Secure Systems" Brendan Murphy Memorial Prize at the 33rd Next Generation Networking workshop (2021) He actively contributes to the academic community as reviewer for AISTATS and IEEE journals, Program Committee Member for IEEE S&P 2024, and frequent invited speaker at institutions including Cambridge, Imperial College London, and Glasgow. His research is supported by Arm funding and features strong industry collaboration through Net AI. As core member of Edinburgh's Mobile Intelligence Lab, he advances edge computing security through projects spanning network traffic analysis, censorship resistance, and robust neural architectures, with ongoing work focusing on scalable clustering validation and causal explainability frameworks.

• Space Instrumentation
• Radiation Detection
• On-Board Data Management Systems
• +۵ مورد دیگر

Sebastián Sánchez Prieto is a Professor at the Department of Automatic Control, Universidad de Alcalá, Spain, affiliated with the Space Research Group (SRG-UAH). He holds a Doctorate from the same institution (1998) with a thesis on cosmic ion telescope control systems. His research focuses on space instrumentation, radiation detection systems, on-board data management, and embedded systems for space applications. He has contributed extensively to the Solar Orbiter mission, working on the Energetic Particle Detector (EPD) instrumentation and software validation. His technical expertise spans FPGA-based signal processing, RISC-V processor architectures, and model-driven engineering for space systems. Notable work includes advancing virtualization techniques for mixed-criticality space systems, digital beamforming architectures, and neural network applications in particle trajectory analysis. Publications emphasize cutting-edge topics like fault-tolerant computing in space environments, adaptive signal processing for space communications, and low-power positioning systems. He actively develops educational frameworks integrating on-board data management concepts across interdisciplinary university curricula. His contributions include over 50 peer-reviewed articles addressing hardware-software co-design, space software verification, and radiation effects mitigation. Current research explores AI-driven approaches for space instrumentation data analysis and next-generation on-board computing solutions.

• Animation Studies
• Gender Representation in Media
• Film History
• +۳ مورد دیگر

Dr. Mercedes Alvarez San Roman is an Assistant Professor at the Department of Journalism and Audiovisual Communication of Carlos III University of Madrid . She is affiliated with the TECMERIN research group ( Television-Cinema: memory, representation and industry ), focusing on animation studies, gender representation in media, and cultural analysis of visual narratives. Her work bridges academic research with creative practice, particularly in digital postproduction and media literacy. Research Interests: Gender dynamics in Spanish and Latin American animation Historical reconstruction through stage names and visual archives Transition of Spanish cinema/television in digital era Materiality of digital imagery and posthuman representation Educational applications of 3D animation Cultural memory in audiovisual production Scientific Awards & Grants: Principal researcher for 'Mujeres pioneras en el cine de animación en España' (UC3M, 2024) Selected for Casa de Velazquez's archival research projects (2025) Leading Instituto de las Mujeres-funded studies on AI representation in media (2024-2025) She actively contributes to academic discourse through publications in journals like Feminist Media Studies and Animation , with notable recent work examining aging femininity in Disney's Encanto and the legacy of early cinema pioneers.

• Machine Learning
• Computer Vision
• Optimization
• +۵ مورد دیگر

Dr. Iker Pastor López is a Researcher at the University of Deusto's Faculty of Engineering, where he serves in the Department of Computing, Electronics and Communication Technologies. His academic credentials include a PhD in Information Systems (2013), Master's in Information Security (2010), and Computer Engineering degree (2007), all from the University of Deusto. His research spans: Machine Learning methods for industrial optimization Computer vision applications in manufacturing quality control Edge computing architectures for Industry 4.0 Big Data analytics in financial and healthcare domains Cybersecurity frameworks for emerging technologies He has led numerous competitive grants including: EU H2020 projects (DANTE 2016-2019) ELKARTEK industrial transformation initiatives Quantum computing security research (QUANTEK) Industry collaborations with ETXE-TAR and VIDRALA His publication record shows strong focus on applied AI research with recent work in: Edge computing optimization Financial time series forecasting Industrial defect detection Biomedical sequence analysis He currently supervises graduate research on industrial AI applications and has contributed to institutional initiatives bridging academia and industry through technology challenges.

• Computer Architecture
• Compilers
• GPUs
• +۴ مورد دیگر

Antonio González Colás is a Full Professor at the Universitat Politècnica de Catalunya (UPC), affiliated with the Facultat d'Informàtica de Barcelona (FIB) and the Department of Computer Architecture. He leads the ARCO research group (Microarchitecture and Compilers) and focuses on advanced computer architecture, including GPUs, compilers, and embedded systems. In 2024, he received the ICREA Acadèmia distinction for his research on future computer systems integrating cognitive tasks and autonomous decision-making. His work emphasizes energy-efficient architectures, memory optimization, and hardware acceleration for AI and real-time applications. He holds a Doctorate in Computer Science and has over 1000+ publications, including top-tier journals and conferences. His research spans topics like GPU microarchitecture, compiler-assisted caching, DNN acceleration, and autonomous driving hardware. Major awards include the HiPEAC 2024 Paper Award and EU-funded projects under Horizon 2020. He advises numerous PhD students on topics such as point cloud processing for autonomous systems, GPU rendering optimizations, and neural network efficiency. His contributions bridge theoretical computer architecture with practical hardware-software co-design, addressing challenges in modern computing systems.

• Computer Vision
• CMOS Sensors
• Embedded Systems
• +۵ مورد دیگر

Victor Manuel Brea Sánchez is a Professor at the University of Santiago de Compostela , affiliated with the Department of Electronics and Computing within the Higher Technical School of Engineering . He holds a PhD from the same university, completing his thesis on Design of a mixed-signal CMOS integrated circuit for pixel-level snakes in 2003 under the guidance of Dr. Diego Cabello Ferrer and Dr. David López Vilariño. His research focuses on Computer Vision , CMOS Sensors , and Embedded Systems , with particular emphasis on real-time vision systems , time-of-flight imaging , and deep learning . He leads the Artificial Vision research group and contributes to the Center for Research in Intelligent Technologies (CITIUS) . His recent work includes advancements in high dynamic range vision sensors , event-based cameras , and analog computing-in-memory architectures . He has pioneered energy-efficient algorithms for multi-object tracking and small object detection in videos, often implemented on low-power embedded systems. Key contributions include the HOPBAS10K CMOS vision sensor for background subtraction and the STDnet convolutional neural network for small target detection. His research bridges hardware design (e.g., CMOS sensor architectures) with software (e.g., deep learning algorithms), emphasizing algorithm-hardware co-design for real-world applications like traffic monitoring and biomedical systems. Notable projects include the iCaveats initiative integrating vision architectures for embedded systems and a low-power voltage reference circuit for implantable devices. He has also developed a capacitance-based wireless sensor network for agricultural pest monitoring.

Ayguade Parra, Eduardمشاهده پروفایل

استاد

• High-Performance Computing
• Parallel and Distributed Architectures
• Programming Models
• +۶ مورد دیگر

Eduard Ayguade Parra is a Full Professor in the Department of Computer Architecture at the Universitat Politècnica de Catalunya (UPC), Faculty of Computer Science of Barcelona (FIB). He is a leading researcher in the UPC PM - Programming Models group and maintains a significant affiliation with the Barcelona Supercomputing Center (BSC-CNS), a premier national supercomputing facility. His primary research interests lie in High-Performance Computing (HPC) , with a deep focus on parallel and distributed architectures , programming models (especially task-based models like OmpSs), multicore and multiprocessor systems , and compilers for high-performance architectures . His work bridges hardware and software to optimize performance for complex computational problems. The trends in his recent publications highlight a sustained and evolving research program. He is actively advancing task-based programming for distributed memory and hybrid systems, exploring FPGA acceleration for key HPC kernels like SpMV, and innovating in memory system design, including active compute memory and hybrid memory object placement. His research also extends into applying AI techniques to hardware reliability and creating high-quality datasets for computer vision evaluation. HiPEAC Paper Award 2024 Professor Ayguade has been instrumental in securing and leading numerous competitive and non-competitive R&D+i projects, often funded by national and European programs. He has advised a significant number of doctoral students, whose theses cover topics such as task-based programming, FPGA acceleration, HPC compilers, and machine learning for systems. His collaborations are extensive, with frequent co-authorship with prominent figures at UPC and BSC-CNS, such as Jesús Labarta and Mateo Valero. His research has led to advancements in runtime systems, compiler technology, and FPGA-based acceleration. He is a core member of the UPC PM - Programming Models research group and his work is deeply integrated with the resources and mission of the Barcelona Supercomputing Center (BSC-CNS), one of Europe's leading institutions in supercomputing.