جست‌وجوی استاد و پژوهشگر

• High-Performance Computing
• Reconfigurable Computing
• FPGA Acceleration
• +۷ مورد دیگر

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.

Danfeng Zhangمشاهده پروفایل

استاد

• Programming Languages
• Security
• Differential Privacy
• +۵ مورد دیگر

Danfeng Zhang is a faculty member at Duke University whose research sits at the intersection of programming languages and security. Active across the premier PL conferences since 2015, Zhang has served on more than two-dozen program committees and currently co-chairs the POPL Student Research Competition. Education & Affiliation: Home page: users.cs.duke.edu/~dz132 Affiliation: Duke University, United States Research Interests: Zhang’s work spans programming-language design, static and dynamic analysis, formal verification, and security. A recurring theme is developing language-based techniques that guarantee strong security and privacy properties—ranging from side-channel resistance and constant-time execution to differential-privacy proofs—while preserving performance and usability. His recent projects combine type systems, program logics, and automated reasoning to build practical verification tools for concurrent, speculative, and approximate software. Publication Trends: Across nine representative papers (2015-2024) Zhang has advanced static detection of cache side channels, automated proofs of differential privacy, and relaxed concurrency models. The trajectory shows deepening integration of security concerns into language infrastructure, with tool-building (CtChecker, SpecSafe, LightDP) that bridge formal guarantees and real-world systems. Service & Leadership: 2024 POPL Student Research Competition Co-Chair 2025 POPL Program Committee member Repeated reviewer/PC member: PLDI, SPLASH/OOPSLA, ISSTA, ECOOP, APLAS, PriSC, PASS Zhang regularly mentors student researchers through SRC sessions and workshop panels, fostering diversity and early-career participation in the programming-languages community.

• High-Performance Computing
• Big Data
• Interconnection Networks
• +۵ مورد دیگر

Jesus Escudero-Sahuquillo is a Full Professor at the Computing Systems Department (DSI) of the Faculty of Computer Science Engineering at the University of Castilla-La Mancha (UCLM), Spain. His academic journey began at UCLM where he completed his Degree in Computer Science in 2006, followed by a Master of Science in 2008, and a PhD in Advanced Computing Technologies in 2011. His professional experience includes: Full Professor at UCLM (current position) PostDoc at Technical University of Valencia (2015) PhD Senior Engineer at Oracle Norway (2013-2015) 5-year PostDoc position at UCLM funded by UCLM and European Commission (2016) Dr. Escudero-Sahuquillo's research focuses on high-performance computing and Big Data, with particular emphasis on interconnection networks and related optimization strategies. His work spans congestion management, routing algorithms, network topologies, and power saving techniques. He has extensive experience with InfiniBand technology and has contributed significantly to congestion control mechanisms in high-performance interconnects. His publication record demonstrates a strong focus on advancing network performance in high-performance computing environments. Over the past decade, his research has evolved from foundational work on routing algorithms and network topologies to more sophisticated congestion management techniques applicable to modern data centers and exascale computing architectures. His most recent work addresses cutting-edge challenges in packet identification, hybrid congestion control, and adaptive routing for next-generation interconnection networks. Dr. Escudero-Sahuquillo has served as a program committee member and reviewer for numerous prestigious conferences and journals including IEEE Micro, IEEE Transactions on Parallel and Distributed Systems, and Journal of Parallel and Distributed Computing. He was the co-organizer for five editions of the IEEE International Workshop on High-Performance Interconnection Networks in the Exascale and Big-Data Era (HiPINEB). His research has been supported through participation in multiple projects funded by the European Commission and the Spanish Government. He has collaborated extensively with researchers across Europe and has been instrumental in advancing the state of the art in high-performance interconnection networks.

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.

• Artificial Intelligence
• Robotics
• Data Science
• +۴ مورد دیگر

Cecilio Angulo Bahón is a full Professor at the Polytechnic University of Catalonia (UPC), affiliated with the Barcelona School of Industrial Engineering (ETSEIB) and the Department of Systems, Automatics and Industrial Informatics Engineering . He leads research in Artificial Intelligence and Robotics , with significant contributions to healthcare data analytics, digital twins, and human-robot collaboration. His research spans machine learning for medical data harmonization, generative adversarial networks in health informatics, and evolutionary algorithms for control systems. Recent publications focus on synthetic healthcare data generation, climate-resilient agriculture , and UMAP-based data analysis . His work bridges AI theory with practical applications in industrial and healthcare domains. Scientific awards include the Sant Jordi 2023 Digital Polytechnic Initiative Award . He has supervised doctoral candidates like Carlos Flores-Vázquez and N. Raya, with key collaborations at the IDEAI-UPC Intelligent Data Science and AI Research Group and the Institute of Robotics and Industrial Informatics (CSIC-UPC).

Gregory D Bunchمشاهده پروفایل

استاد مدعو

• Entrepreneurship
• Strategy
• Innovation
• +۴ مورد دیگر

Gregory D Bunch is an Adjunct Professor of Entrepreneurship at the University of Chicago Booth School of Business. With a diverse career spanning entrepreneurship, consulting, corporate board leadership, and public service, he brings extensive real-world experience to his academic role. He has advised Fortune 50 companies, family businesses, and startups, working with organizations like Abbott Labs, American Express, Harley-Davidson, and PepsiCo. Founder of Masterplan International Corporation (strategy consulting) Partner at Brandtrust (brand strategy consultancy) Co-founded a healthcare software startup in the Bay Area Served as alderman in West Chicago Education : Bachelor's in Philosophy from Wheaton College MDiv from Harvard University His research and teaching interests focus on entrepreneurship, corporate innovation, and strategic management in volatile environments. Current work explores intersections between AI-driven strategy, customer creation, and adaptive leadership frameworks. Recent publications analyze: Mythological parallels to modern entrepreneurship (e.g., Elon Musk as Odysseus) AI applications in strategic planning and operationalization Business leadership approaches under VUCA (Volatility, Uncertainty, Complexity, Ambiguity) conditions Greg teaches New Venture Strategy across multiple quarters through 2026, maintaining active engagement with Chicago Booth's academic programs.

Patrick Luiz Sullivan De Oliveiraمشاهده پروفایل

استادیار

• history of modern France
• history of technology
• urban history
• +۳ مورد دیگر

Patrick Luiz Sullivan De Oliveira is an Assistant Professor of History at IE University in Spain, where he has been teaching since 2023. He is also a Research Associate at the Smithsonian Institution National Air and Space Museum, a position he has held since 2021. Previously, he served as an Assistant Professor of Science, Technology, and Society at Singapore Management University (2021-2022) and as a Postdoctoral Lecturer in Princeton University's Writing Program (2018-2020). Dr. De Oliveira received his academic training at prestigious institutions: Ph.D. in History, Princeton University, USA, 2018 M.A. in History, Princeton University, USA, 2013 B.A. in History, University of Kansas, USA, 2010 B.S.J. in News and Information, University of Kansas, USA, 2010 His research focuses on the history of modern France (1700 to the present), with particular emphasis on the history of technology, urban history, and Franco-Latin American exchanges. Dr. De Oliveira is currently writing a cultural history of France's intense ballooning revival in the late nineteenth century, under advanced contract with The MIT Press. His work bridges historical scholarship with broader cultural narratives, exploring how technological innovations like ballooning shaped social structures, political imaginaries, and transnational connections. His recent publications demonstrate a progression from examining specific historical events like the Zénith balloon tragedy to broader cultural analyses of technological transformations, with increasing attention to contemporary implications of historical patterns. Dr. De Oliveira's scholarly contributions have been recognized with prestigious awards: Royal Society's Notes and Records Essay Prize Western Society for French History's Millstone Prize His research has been supported by significant fellowships at the Smithsonian Institution National Air and Space Museum, the Huntington Library, the Linda Hall Library, and Sciences Po. While the text does not explicitly mention students he has advised, his interdisciplinary approach suggests mentorship across history, technology studies, and urban studies. His public engagement through media outlets like The Washington Post and Slate indicates an active role in mentoring through public scholarship as well. As a Research Associate at the Smithsonian National Air and Space Museum, Dr. De Oliveira contributes to one of the world's premier institutions for the study of aviation and space history. His work connects historical ballooning to broader narratives of technological innovation and cultural transformation, with particular attention to how these historical developments inform contemporary technological challenges and opportunities.

• Computer Architecture
• Microarchitecture
• Compilers
• +۷ مورد دیگر

Antonio Maria Gonzalez Colas is a Full Professor at the Universitat Politècnica de Catalunya (UPC), affiliated with the Department of Computer Architecture within the Faculty of Computer Science of Barcelona (FIB). He leads the ARCO research group focused on Microarchitecture and Compilers and is actively engaged in high-impact research in computer architecture, GPUs, and energy-efficient computing. His collaborations extend to the Barcelona Supercomputing Center and various national and European research initiatives. Research Interests: His primary research areas include computer architecture, microarchitecture, compilers, GPUs, and processor design. He focuses on energy-efficient computing, deep neural network (DNN) accelerators, GPU simulation and optimization, memory systems, and architectural support for machine learning and autonomous systems. His work often integrates compiler techniques with hardware design for performance and efficiency. Scientific Production Trends: His recent publications demonstrate a strong focus on energy-efficient hardware for AI workloads, particularly DNN and speech recognition acceleration, GPU architectural innovations, memory optimization, and real-time rendering. He frequently publishes in top-tier venues such as ISCA, MICRO, HPCA, and IEEE/ACM journals. ICREA Academia Award 2024 HiPEAC 2024 Paper Award ACM Senior Member (2020) Advising and Grants: He has advised numerous PhD students whose theses cover topics like energy-efficient architectures for autonomous driving, speech recognition, and neural networks. He leads competitive R&D projects, including an ERC Advanced Grant and projects funded by the Spanish National Program and the ICREA Academia program, focusing on domain-specific architectures and cognitive computing units. Labs and Teams: He is the principal investigator of the ARCO (Microarchitecture and Compilers) research group at UPC, a leading team in computer architecture research in Spain. The group is part of a larger collaborative network within UPC and with international partners.

Juan Jiménez-Salcedoمشاهده پروفایل

استاد

• Intercultural Education
• French Studies
• Gender Studies
• +۱۰ مورد دیگر

Dr. Juan Jiménez-Salcedo is a Professor at Universidad Pablo de Olavide in the Department of Philology and Translation , with a focus on French Philology . He is also affiliated with the Université de Mons (Faculté de traduction et d'interprétation). Research Pillars : Postmonolingualism and intercultural education Linguistic policy analysis in Colombia, the EU, and Catalonia Legal translation and judicial bilingualism Gender studies in historical and modern contexts Key Publications : 2021: Investigated Colombian bilingual education policies 2020: Analyzed EU multilingualism and Catalan-Spanish legal conflicts 2019: Explored Catalan language desterritorialization 2018-2017: Co-edited volumes on postmonolingual translation justice Methodological Contributions : Applied sociocritical paradigms to language policy analysis Developed mixed-methods approaches for courtroom interpreting quality His work bridges jurilinguistics , gender studies , and microterritory language dynamics , emphasizing ethical translation practices in multicultural legal systems.

Santiago Badiaمشاهده پروفایل

استاد

• Computational Science and Engineering
• Numerical Analysis
• Finite Element Methods
• +۳ مورد دیگر

Santiago Badia is a Full Professor of Computational Science and Engineering at Universitat Politècnica de Catalunya (UPC), holding an adjoint researcher position at the International Center for Numerical Methods in Engineering (CIMNE). He leads the Large Scale Scientific Computing (LSSC) group at CIMNE, focusing on finite element methods, numerical analysis, and high-performance computing. His research emphasizes fluid dynamics, multiphysics problems, and scalable solvers for large-scale systems. Previously, he worked at Politecnico di Milano and Sandia National Labs. He developed the FEMPAR software framework, a parallel finite element tool for PDE simulations, achieving landmark scalability (e.g., 60 billion unknowns on 458,672 cores). FEMPAR is recognized in the High-Q Club of European codes. His expertise includes discontinuous Galerkin methods, XFEM, and domain decomposition preconditioners. Research interests span metal additive manufacturing, superconductor devices, and nuclear engineering applications. Awards include FEMPAR's High-Q Club inclusion. He advises PhD and MSc students (e.g., Jesus Bonilla, Eric Neiva, Marc Olm) and has open positions in postdoc/PhD levels. His team includes researchers like Javier Principe and Alberto Martín. Ongoing projects involve advancing parallel algorithms, multiphysics simulations, and software scalability for exascale computing.

• Computer Architecture
• Programming Models
• Parallel Computing
• +۵ مورد دیگر

Marc Gonzalez Tallada is a researcher at the Universitat Politècnica de Catalunya (UPC), affiliated with the Department of Computer Architecture within the Barcelona School of Informatics (FIB). He is a member of the MGT Research Group, focusing on Programming Models and high-performance computing systems. His research interests lie in the domain of computer architecture and programming models, with a strong emphasis on parallel and distributed computing, performance optimization, and system-level software. His work contributes to the design and implementation of efficient programming models that exploit modern parallel architectures. The recent publications (2010–2024) reflect a consistent focus on programming models, particularly in the context of high-performance computing. Key themes include task-based programming, runtime systems, compiler optimization, memory management, and performance analysis. The research spans computer architecture, system software, and compiler design, demonstrating a multidisciplinary approach to solving challenges in parallel computing. Scientific Awards and Recognitions: Premi o reconeixement Advising and Grants: While specific student names are not listed, his involvement in competitive R&D+i projects indicates active participation in funded research. These projects suggest leadership or collaboration in grant-supported initiatives related to programming models and computer systems. His role in innovation and research projects highlights contributions to both academic and applied domains. Labs and Research Teams: He is a core member of the MGT (Programming Models) research group at UPC, which focuses on advancing the state-of-the-art in programming models for parallel and distributed systems.

• Computer Architecture
• High-Performance Computing
• Distributed Systems
• +۱۲ مورد دیگر

Yolanda Becerra Fontal is a faculty member at the Universitat Politècnica de Catalunya (UPC), affiliated with the Department of Computer Architecture within the Barcelona School of Informatics (FIB). She is actively involved in research projects and collaborations, notably with the Barcelona Supercomputing Center, and is a member of prominent research groups such as the High Performance Computing Group (CAP) and CROMAI (Computing Resources Orchestration and Management for AI). Research Interests: Her research spans a broad spectrum of computer systems, with a consistent focus on performance, efficiency, and scalability. Key areas include Computer Architecture , High-Performance Computing (HPC) , Distributed and Cloud Systems , Resource and Energy Management in virtualized environments, and Data-Intensive Computing . More recently, her work has centered on innovative time-series database systems and data management for edge and cloud analytics. Publication Trends: Her recent scholarly output (2020-2022) shows a strong emphasis on time-series data management, proposing novel database architectures like NagareDB and strategies for polyglot persistence. Earlier work (2009-2013) was pivotal in MapReduce workload management, energy accounting for virtualized systems, and optical data center networks, demonstrating a long-standing contribution to foundational distributed computing challenges. Scientific Contributions: Her work has been published in top-tier journals and conferences such as Future Generation Computer Systems , IEEE Transactions , and Nucleic Acids Research . She has also contributed to significant competitive R&D projects and holds patents related to data flow management and distributed indexing. Advising and Grants: Dr. Becerra Fontal has served as a thesis advisor for doctoral students. Her research has been funded through competitive grants from national and regional programs, including Spanish State Research Plans (Plan Estatal de Investigación) and Catalonia's RIS3CAT strategy, supporting projects on high-performance computing and data management. Research Groups and Labs: She is a core member of the CAP - High Performance Computing Group and the CROMAI - Computing Resources Orchestration and Management for AI group at UPC. Her work is closely associated with the Barcelona Supercomputing Center (BSC) , one of Europe's leading supercomputing facilities, indicating access to advanced computational infrastructure.

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

Caleb Stanfordمشاهده پروفایل

استادیار

• Programming Languages
• Formal Methods
• Distributed Systems
• +۴ مورد دیگر

Caleb Stanford is an Assistant Professor in the Department of Computer Science at the University of California, Davis. He specializes in programming languages and formal methods with applications to distributed systems, data processing, and computer security. His research focuses on developing practical tools and theoretical foundations for secure and reliable systems. Research interests span programming languages theory, formal verification techniques for distributed systems, Rust ecosystem security, stream processing verification, and automata theory extensions. Specific projects include securing Rust crates through automated auditing tools, extending derivative-based abstractions for regular expressions, and developing verification frameworks for dataflow programming. His publications demonstrate consistent focus on formal methods applications, with recent emphasis on Rust program safety (2025), stream processing verification (2020-2024), and incremental graph algorithms (2023). Article keywords frequently include formal verification, programming languages, distributed systems, and automata theory. Dr. Stanford actively recruits students for research positions: Undergraduates should demonstrate excellence in relevant coursework Prospective PhD students must apply through UC Davis admissions Current openings focus on Rust security, formal methods, and distributed systems verification He leads the Guided Incremental Digraphs (GID) research project and collaborates with UCSD on Rust security initiatives. Community contributions include serving as Artifact Evaluation Co-Chair for POPL 2024 and committee member for PLDI and OOPSLA conferences.

Maria Ribera Sanchoمشاهده پروفایل

استاد

• Software Engineering
• Conceptual Modeling
• Ontologies
• +۴ مورد دیگر

Dr. Maria Ribera Sancho is a Professor at the Polytechnic University of Catalonia (BarcelonaTech), holding roles as Dean of the Faculty of Informatics of Barcelona (2004–2010), Vice-Dean (1998–2004), and currently Manager of the Education and Training Department at the Barcelona Supercomputing Center (BSC-CNS). She chairs the EQANIE Accreditation Committee and serves on the ACM-W Europe Executive Committee. Her research focuses on Software Engineering, Conceptual Modeling, Ontologies, Learning Analytics, and IoT applications. Notable contributions include work on automated design using conceptual models, model-driven software development, and semantic-based IoT infrastructure monitoring. She leads projects like LinDaFIX (social welfare data tools) and REMEDiAL (ontology-driven software automation). Key awards include the UPC Quality in Teaching Prize (2005, 2021), Jaume Vicens Vives Distinction (2005), Sapiens Award (2011), and Festibity Award (2011). She advises doctoral and master’s students on topics like IoT semantic monitoring and educational ontology development. Academic director of the inLab FIB Talent Program, she also directs the PRACE Advanced Training Center at BSC. Main projects include TINTIN (SQL integrity tool), e-Catalunya (collaborative government platform), and PILARES (learning analytics for secondary education). Her work bridges academia and industry through competitive projects with companies and institutions.