جست‌وجوی استاد و پژوهشگر

Mateo Valero Cortésمشاهده پروفایل

استاد

• Computer Architecture
• High-Performance Computing
• Parallel Computing
• +۳ مورد دیگر

Mateo Valero Cortés is a renowned Professor of Computer Architecture at the Polytechnic University of Catalonia and Director of the Barcelona Supercomputing Center (BSC). He has held academic and leadership roles since 1974, advancing high-performance computing (HPC) and computer architecture research. His work includes pioneering contributions to vector architectures, multithreading, and instruction-level parallelism. Education includes a Telecommunications Engineering degree from the Polytechnic University of Madrid (1974) and a PhD in Telecommunications Engineering from the Polytechnic University of Catalonia (1980). His research spans over 700 publications, focusing on HPC systems, parallel computing, and supercomputing infrastructure. Key research interests include vector processing, super-scalar processors, and task-based programming models. Recent work emphasizes scalable architectures for exascale computing and energy-efficient hardware-software co-design. Notable achievements include the Eckert-Mauchly Prize (highest in computer architecture), Seymour Cray Award, and Charles Babbage Prize. He has led initiatives like the Spanish Supercomputing Network (RES) and PRACE (European HPC partnership). Academic affiliations include the Royal Academy of Engineering of Spain, ACM Fellow, and IEEE Fellow. He has received 13 honorary doctorates and awards such as Mexico’s Order of the Aztec Eagle. Current projects include the Mont-Blanc HPC prototype and ERC-funded research on multi-core chip design. His BSC oversees over 300 researchers and manages MareNostrum supercomputers.

Meritxell Sáez Cornellanaمشاهده پروفایل

استاد

• Mathematical Biology
• Dynamical Systems
• Chemical Reaction Networks
• +۴ مورد دیگر

Meritxell Sáez Cornellana serves as a Contracted Professor of Ph.D in the Department of Mathematics and Data Analytics at IQS School of Engineering, part of Universitat Ramon Llull in Barcelona, Spain. She leads the ADAMIQS (Applied Data Analytics and Modelling IQS) research group funded by AGAUR, and participates in multiple interdisciplinary projects including CERTERA (advanced therapies development), NFT value drivers research, and international collaborations with China on sustainable development in population medicine. Her research focuses on applying mathematical modeling to biological systems, particularly in understanding cell fate decisions through dynamical landscapes and chemical reaction networks. She has developed geometrical frameworks for analyzing gene regulatory dynamics and cell differentiation processes, bridging mathematical theory with biological applications. Her work spans mathematical biology, dynamical systems theory, and data analytics, with particular expertise in bifurcation analysis, model reduction techniques, and statistical approaches to biological decision-making. Analysis of her publication record reveals a clear trajectory from foundational mathematical work in algebraic geometry toward increasingly biological applications, with a significant shift around 2016 toward systems biology. Her most impactful work involves creating geometrical landscapes that capture decision-making dynamics during cell fate transitions, which has been cited over 60 times. Recent publications show expansion into statistical approaches for university education and continued development of mathematical frameworks for understanding biological networks. Research leadership and funding: Principal Investigator for ADAMIQS project (Applied Data Analytics and Modelling IQS) funded by AGAUR (2022-2025) Researcher in CERTERA consortium for advanced therapies development (Carlos III Health Institute, 2024-2026) Researcher in NFT value drivers project (Fundación Ramón Areces, 2023-2026) Researcher in PoPMeD-SuSDeV project on sustainable development and global health (2023-2026) Researcher in 2IDLATRL project on learning analytics tools (2022-2023) Professor Sáez Cornellana directs the Applied Data Analytics and Modeling research line at IQS, supervising multiple research projects that integrate mathematical theory with practical applications in biology and education. Her team collaborates across disciplines, connecting mathematical modeling with biological experimentation and educational innovation, creating a unique interdisciplinary research environment focused on extracting meaningful insights from complex data systems.

• Quantum Safe Cryptography
• Threat Management
• Artificial Intelligence Security
• +۵ مورد دیگر

Dr. Marc Ph. Stoecklin is a Principal Research Staff Member and head of the Security Research Department at IBM Research Europe in Zurich, Switzerland. He co-leads IBM's global research strategy on Quantum Safe Cryptography and Migration, focusing on cryptographic artifact identification and migration implementation. Previously, he directed Threat Management research, applying AI and automation to threat detection, investigation, and response. Education: PhD in Computer, Communication and Information Sciences, École Polytechnique Fédérale de Lausanne (EPFL), Switzerland His research spans quantum safe cryptography, threat management, AI security, threat detection, identity management, cyber deception, big data analytics, and security visualization. He pioneered AI-powered security operations, contributing to Watson for Cyber Security and QRadar Advisor with Watson, and analyzes AI/quantum computing misuse in cyber attacks. His 2016-2020 publications emphasize advanced threat detection, malware analysis, and AI security, featuring evasive malware deactivation, threat intelligence computing, and neural network watermarking. These works bridge research and product development, directly influencing IBM security offerings. Dr. Stoecklin led IBM's Cognitive Cyber Security Intelligence group (2014-2019) and the Security Research Department since 2019. As tech lead for IBM's COVID-19 task force (2020-2022), he developed IBM Digital Health Pass, deployed in New York's Excelsior Pass with over 1 million passes issued in two months. He heads the Security Research Department at IBM Research Europe in Zurich and has been integral to the Global Security Analysis Lab (GSAL) and Cognitive Cyber Security Intelligence (CCSI) group at IBM T.J. Watson Research Center.

Maria José Serna Iglesiasمشاهده پروفایل

استاد

• Algorithmics
• Complexity Theory
• Social Network Analysis
• +۳ مورد دیگر

Maria José Serna Iglesias is a Full Professor at the Departament de Ciències de la Computació of the Universitat Politècnica de Catalunya (UPC), Barcelona Tech . She leads the research group ALBCOM (Algorithmics, Bioinformatics, Complexity and Formal Methods) and coordinates doctoral programs in Computing. Her research focuses on algorithmics, computational complexity, social network analysis, and game theory. She actively participates in conferences such as SEA 2023-2025 , CIAC , and Algorithmic Decision Theory . Teaching includes advanced algorithmics courses for undergraduate and master’s programs. Current projects include the MOTION initiative (PID2020-112581GB-C21) on large-scale data processing. Past projects involve EU initiatives like WISEBED and DELIS . Her work bridges theoretical computer science with applications in networks and social systems, emphasizing algorithmic solutions for complex problems.

Marc Sánchez Artigasمشاهده پروفایل

دانشیار

• Distributed Computing
• Cloud Computing
• Big Data
• +۶ مورد دیگر

Marc Sánchez Artigas is an Associate Professor at Rovira i Virgili University, Department of Computer Engineering and Mathematics. He holds a PhD from Pompeu Fabra University (2009) and conducted postdoctoral research at EPFL (Switzerland). His research focuses on distributed computing, cloud storage systems, and serverless architectures. He leads the CloudLab research group and coordinates major EU projects like Horizon Europe's CloudSkin and H2020's IOStack. Education: PhD in Computer Science (2009), Pompeu Fabra University MSc in Computer Engineering (2004), Universitat Rovira i Virgili BSc in Computer Engineering (2002), Universitat Rovira i Virgili Research Interests: Distributed systems, cloud computing, software-defined storage, serverless computing, and privacy-preserving storage solutions. His work emphasizes scalable architectures, data management in heterogeneous environments, and optimizing cloud storage efficiency through novel algorithms and frameworks. Awards: Best Paper (IEEE LCN 2007), Best Dataset (ACM IMC 2015), Serra-Hunter Excellence Professorship, and multiple grants from EU and Spanish funding bodies. Grants & Projects: Coordinated over €5 million in projects including H2020 CloudButton (serverless analytics), FP7 CloudSpaces (personal clouds), and national initiatives like Software-Defined Edge Clouds. Active in coordinating IPCEI-CIS for cloud infrastructure. Teaching: Courses on distributed systems, parallel architectures, and cloud computing. Taught at Universitat Rovira i Virgili and Universitat Oberta de Catalunya.

• Computational Linguistics
• Text Summarization
• Information Extraction
• +۶ مورد دیگر

Horacio Saggion is the Chair in Computer Science and Artificial Intelligence at the Department of Information and Communication Technologies, Universitat Pompeu Fabra. He leads the TALN Group and the Large Scale Text Understanding Systems Lab. His research focuses on Computational Linguistics, with specialties in Text Summarization, Information Extraction, and Semantic Analysis. He coordinates the Horizon Europe iDEM project on inclusive democratic spaces and previously led the SignON project for Sign Language Translation. Key technologies include the SUMMA Summarization system and the Dr Inventor Text Mining Library. Education: PhD, MSc, and Licenciatura in Computer Science. Research Interests: Text simplification for accessibility, sign language translation, misinformation detection, and ethical AI applications. His work bridges natural language processing with societal needs such as clear communication in public administration. Grants & Projects: Coordinator of iDEM (Horizon Europe), PI of SignON, Simplext, and Able to Include. Involved in BEA shared tasks and CLEF labs. Active in organizing workshops like TSAR at EMNLP. Labs & Teams: Head of TALN Group and Text Understanding Lab. Collaborations include Universitat Pompeu Fabra's interdisciplinary initiatives and industry partnerships for technology commercialization.

• Optics
• Visual Sciences
• Medical Optics
• +۳ مورد دیگر

Sergio Barbero is an Associate Researcher at the Visual Optics laboratory of the Instituto de Óptica (CSIC), Spain, under the supervision of Prof. Susana Marcos. He holds a BSc in Physics from the University of Zaragoza (1999) and a PhD in Visual Sciences from the University of Valladolid (2004), which earned him the Doctoral Thesis Extraordinary Award (2005). His research focuses on optical aberrations, intraocular lens design, wavefront measurement techniques, and gradient-index modeling of ocular structures. Barbero has collaborated with international groups at Indiana University (USA), University of Houston (USA), and Australian institutions. His work includes pioneering studies on crystalline lens tomography, corneal ablation algorithms, and novel wavefront sensing methods. He has authored 16 peer-reviewed publications and contributed to a US patent on wavefront reconstruction techniques. His research spans three core areas: (1) intraocular lens design using analytical tools, (2) gradient-index modeling of the human eye, and (3) in vivo measurement of crystalline lens aberrations. He has secured grants from the Spanish government (I3P-CSIC), NIH (USA), and Fulbright fellowships. Barbero has presented 33 scientific talks/posters, including invited lectures, and maintains an h-index of 9. His work bridges fundamental optics with clinical applications in ophthalmology.

Gonzalo Barluenga Badiolaمشاهده پروفایل

استاد

• 3D Printing Materials
• Cement-Based Composites
• Self-Healing Concrete
• +۵ مورد دیگر

Gonzalo Barluenga Badiola is a Professor at the Department of Architecture within the School of Architecture at the University of Alcalá. His research focuses on advanced construction materials, including 3D-printable mortars, self-healing concrete, phase change materials (PCM), and nanomaterials for sustainable architecture. He leads the 'Promarq' research group, specializing in architectural projects and building materials. He holds a Ph.D. from the Universidad Politécnica de Madrid (2002), with a thesis on joint systems in facade construction. His research interests emphasize material innovation for energy efficiency, structural health monitoring, and environmental adaptation. Key areas include bio-based composites, thermal/acoustic mortar properties, and the integration of nanotechnology into construction materials. Recent work explores post-fire self-healing mechanisms, PCM-enhanced mortars, and additive manufacturing applications. His publications (2023–2025) highlight advancements in 3D-printed cement-lime mortars, nano-modified self-compacting concretes, and fiber-reinforced composites. He investigates rheological properties of materials at early stages and their structural performance. No scientific awards are explicitly mentioned, but his work is widely cited in sustainable construction and materials science. Grants and collaborations are inferred from his research output, though specific funding details are not provided here. His lab, 'Promarq,' likely focuses on experimental and numerical analysis of building materials. No student advising records are listed in the provided data.

• Optimization Algorithms
• Smart Grids
• Renewable Energy Systems
• +۳ مورد دیگر

Silvia Jiménez Fernández is an Associate Professor in the Department of Signal Theory and Communications at Universidad Autónoma de Madrid. Her research focuses on optimization algorithms, smart grids, renewable energy systems, telemedicine, and machine learning applications. She holds a Ph.D. from Universidad Politécnica de Madrid (2009), supervised by Dr. Francisco del Pozo Guerrero and Dr. Paula de Toledo Heras. Her work integrates interdisciplinary approaches, such as combining evolutionary algorithms with engineering challenges in energy systems and healthcare. Key contributions include advancements in coral reefs optimization algorithms for energy management, machine learning for battery health estimation, and telemedicine systems for chronic disease monitoring. Recent research trends emphasize hybrid learning models in education, multi-objective optimization in renewable energy systems, and risk analysis in smart grids with electric vehicles. She is affiliated with the GHEODE Research Group (Modern Heuristics and Network Design).

• Human Geography
• Socio-Environmental Change
• Environmental Perception
• +۲ مورد دیگر

David Pavon Gamero is a Professor in the Department of Geography at the University of Girona, specializing in Human Geography. He is affiliated with the Institute of Environmental Sciences and is an active member of the Research Group on Socio-Environmental Change. His research focuses on socio-environmental transformations, territorial dynamics, and human perception of environmental change. These interests align with broader themes in human geography and sustainability science. The available publications suggest a consistent engagement with socio-geographical issues, particularly in the context of environmental change, though specific titles are not detailed in the current data. Dr. Pavon Gamero contributes to academic life through teaching and research, with no indication of retirement or emeritus status. He maintains scholarly visibility via his ORCID identifier (0000-0001-5185-0214). He advises students and participates in research grants through his role in the Research Group on Socio-Environmental Change, contributing to collaborative environmental research projects. He is part of the Grup de Recerca en Canvi Socioambiental, which investigates the interplay between social processes and environmental change, particularly in local and regional contexts.

Julian Fierrezمشاهده پروفایل

استاد

• Biometrics
• Signal and Image Processing
• Artificial Intelligence
• +۶ مورد دیگر

Julian Fierrez is a Full Professor at the School of Engineering, Universidad Autonoma de Madrid. With an h-index of 74 and over 20,000 citations, his work spans biometrics, signal/image processing, artificial intelligence, and human-computer interaction. Key research areas include: Biometric anti-spoofing and DeepFakes detection Mobile and behavioral biometrics Bias/fairness in AI systems Biometric applications in e-health and education Security in multimodal biometric systems His recent publications show strong focus on deep learning applications for biometric security, with specific subfields including fake detection, keystroke authentication, facial analysis for Parkinson detection, and privacy-preserving AI. He serves as Associate Editor for multiple IEEE and Elsevier journals. Scientific distinctions include: IAPR Young Biometrics Investigator Award (2017) Miguel Catalan Award to Best Researcher under 40 (2017) EURASIP Best PhD Award (2012) EBF European Biometric Industry Award (2006) Prof. Fierrez leads the BiDA Lab and supervises students like Ruben Tolosana and Aythami Morales. Current projects include BBforTAI (Biometrics and Behavior for Unbiased & Trustworthy AI) and PRIMA (Privacy Matters). He also contributes to standardization efforts in biometric evaluation.

Dario Fioreمشاهده پروفایل

استاد پژوهشی

• Cryptography
• Computer Security
• Cloud Computing Security
• +۳ مورد دیگر

Dario Fiore is an Associate Research Professor at the IMDEA Software Institute in Madrid, Spain. He holds a Ph.D. in Computer Science from the University of Catania, Italy (2010), and has held postdoctoral positions at institutions including Max Planck Institute for Software Systems (Germany), New York University (USA), and École Normale Supérieure (France). His research focuses on Cryptography and Security, particularly designing provably-secure cryptographic primitives for Cloud computing applications, including secure data delegation, homomorphic authenticators, zero-knowledge proof systems, functional encryption, and homomorphic encryption. He advises multiple PhD students and has led projects like the ERC Consolidator Grant PICOCRYPT (2021–2026). He has been recognized with awards such as the ACM SIGMM Test of Time Honourable Mention (2022) and the IET Information Security Premium Award (2020). Education: Ph.D. in Computer Science, University of Catania, Italy (2010) Visiting Student: IBM T.J. Watson Research Center and New York University (USA) Research Interests Fiore’s work bridges theoretical and practical aspects of Cryptography, emphasizing efficiency and real-world applications. Key areas include: Secure delegation of computation/data to Cloud systems Homomorphic encryption and authenticators Zero-knowledge proof systems (e.g., zkSNARKs) and functional encryption Cryptography for privacy-preserving machine learning and decentralized systems Grants & Projects ERC Consolidator Grant PICOCRYPT (2021–2026) NEC Laboratories Europe collaboration (2024) ESPADA and PRODIGY EU projects Awards ACM SIGMM Test of Time Honourable Mention (2022) IET Information Security Premium Award (2020) ACM CCS 2022 Top Reviewer Award Labs & Teams Fiore leads a dynamic research group with active collaborations in cryptography, including postdocs, PhD students, and industry partnerships with Protocol Labs, Nomadic Labs, and Tezos Foundation.

Pedro Galeanoمشاهده پروفایل

دانشیار

• Outlier Detection
• Time Series Analysis
• Bayesian Inference
• +۳ مورد دیگر

Pedro Galeano is an Associate Professor in the Department of Statistics at Universidad Carlos III de Madrid (UC3M) since 2009. He holds a PhD in Statistics (2004) under Prof. Daniel Peña, focusing on multiple time series. Previously, he served as Visiting Assistant Professor of Statistics and Econometrics at the University of Chicago’s Graduate School of Business and as a Postdoctoral Fellow at the Department of Statistics and Operations Research at Universidade de Santiago de Compostela. His research focuses on time series analysis, outlier detection, Bayesian inference in financial models, and functional data analysis with applications to missing data. He is an Associate Editor of the Journal of Time Series Analysis and advises the Heliyon journal. Key contributions include developing methodologies for detecting structural breaks, modeling systemic risk via copula approaches, and advancing robust statistical techniques for high-dimensional data. Active in academic leadership, Galeano co-organized the NICDA Workshop 2025 and has published extensively on topics like dynamic factor models, sequential parameter change detection, and functional data applications in energy markets. His work bridges theoretical statistics with practical applications in finance, economics, and environmental science.

• Biometrics
• Biometric Systems
• Computer Vision
• +۵ مورد دیگر

Raul Sanchez Reillo is a Full Professor at Universidad Carlos III de Madrid (UC3M), affiliated with the Grupo Universitario de Tecnologías de Identificación (GUTI). His research focuses on biometric systems, mobile authentication, and security technologies. Key areas include presentation attack detection, vein recognition, and ECG biometrics. He leads projects involving smartphone-based biometric solutions, 3D printed markers, and standards development for biometric interoperability. Research interests span multiple modalities: fingerprint authentication, dynamic signature verification, gait recognition, and vascular biometrics. He emphasizes usability and accessibility in mobile environments, exploring ergonomics and user interaction challenges. His work integrates machine learning (transformers, RNNs) with hardware solutions like FPGA-based systems. Publications highlight innovations in spoofing detection, medical applications (ECG/vein analysis), and low-cost hardware implementations. He contributes to European standards (BioAPI, Hand Data Interchange Format) and evaluates security practices for R&D compliance with EU data protection regulations. Current initiatives include enhancing biometric systems for critical infrastructure security and improving accessibility for elderly users. Active in interdisciplinary collaborations, he leads the Mobile Pass project evaluating user interaction in biometric systems. His lab (GUTI) develops open testing methodologies for biometric performance under Common Criteria and environmental stressors. Recent work addresses vulnerabilities in mobile fingerprint sensors and the ethical implications of biometric-as-a-service models.

Andrea Meilán-Vilaمشاهده پروفایل

استادیار

• Nonparametric Estimation
• Directional Statistics
• Kernel Smoothing
• +۳ مورد دیگر

Andrea Meilán-Vila is an Assistant Professor in the Department of Statistics at Universidad Carlos III de Madrid since 2021, holding a Juan de la Cierva Fellowship since 2023. She earned her PhD in Statistics from Universidade da Coruña (2021) and previously served as a Postdoctoral Fellow at Universidade de Santiago de Compostela's Department of Statistics, Mathematical Analysis and Optimisation. Her research focuses on nonparametric methods for analyzing complex data types, including directional, spatial, and functional data. Key areas include kernel smoothing techniques, goodness-of-fit testing for regression models, and spatial trend estimation. She serves as an Associate Editor for the Journal of Nonparametric Statistics . Recent work emphasizes applications in climate science (temperature curve modeling), fluid dynamics (wake flow control), and biomedical imaging (hippocampus shape analysis). Her methodologies address challenges like sparse data estimation and spatial correlation in regression frameworks. Key Projects: STENED (Stein-based goodness-of-fit tests for non-Euclidean data) Awards: Juan de la Cierva Fellowship (2023) Publications span journals like Journal of Fluid Mechanics , Statistical Papers , and TEST , with a focus on methodological advancements in statistical modeling and computational validation.