جستجوی استاد راهنمای دانشگاهی

Sergi Abadal Cavalleمشاهده پروفایل

استاد

• Chip-scale Wireless Communications
• Nanocommunications
• Nanonetworks
• +۱۲ مورد دیگر

Sergi Abadal Cavalle is a distinguished Professor in the Department of Computer Architecture at the Universitat Politècnica de Catalunya (UPC), affiliated with the Escola Tècnica Superior d'Enginyeria de Telecomunicació de Barcelona (ETSETB). He leads a dynamic research group focused on revolutionary computing architectures through wireless chip-scale networks and quantum interconnects. His work is supported by prestigious grants including an ERC Starting Grant and an ERC Proof of Concept Grant. Education: PhD in Computer Architecture, Universitat Politècnica de Catalunya (2016) MSc in Telecommunication Engineering, UPC (2011) BSc in Telecommunication Engineering, UPC (2010) Sergi's research focuses on overcoming the limitations of traditional wired interconnects in computing systems by pioneering wireless communication at the chip and package level. His work spans terahertz communications, graphene-based antennas, reconfigurable metasurfaces, and quantum-coherent networks. He has led major EU projects such as WINC, EWiC, QUADRATURE, and WiPLASH, aiming to revolutionize classical and quantum computing architectures. His research integrates electromagnetics, materials science, and computer architecture to enable ultra-fast, scalable, and energy-efficient systems. His recent publications demonstrate a strong trend toward integrating wireless technologies within computing systems, particularly using novel materials like graphene and software-defined metasurfaces. The articles highlight advancements in on-chip wireless communication, channel modeling, and the application of these technologies in 6G and quantum computing. His work bridges theoretical modeling with experimental validation and practical emulation. Scientific Awards: ERC Starting Grant (2022) ERC Proof of Concept Grant (2024) ACM NanoCom Outstanding Milestone Award (2022) NanoComNet Young Investigator Award (2019) UPC Outstanding Thesis Award (2016) IN-NOVA Award to Best Master Thesis (2021) IBM Award to Best Academic Record (2021) Medal from Real Academia de la Ingeniería (2024) IEEE Senior Member (2025) Sergi actively mentors a large group of PhD and Master's students, many of whom have received awards for their thesis work. He leads the N3Cat research group and collaborates with institutions such as IBM Research, NEC Labs Europe, RWTH Aachen, EPFL, University of Nottingham, and Intel Labs. His lab is at the forefront of experimental validation of wireless interconnects and quantum architectures, with ongoing projects focusing on emulation and commercialization of chiplet communication technologies.

• Software Quality
• Quantum Computing
• Information Systems
• +۵ مورد دیگر

Mario Piattini is a Full Professor at the School of Computer Science of the University of Castilla-La Mancha (UCLM) in Spain, where he has served since 2002. He is the founder of the Alarcos research group and has held leadership roles including Director of the Mixed Center for Software Research and Development UCLM-Indra and Director of the Institute of Technologies and Information Systems (ITSI) at UCLM. He has also served as an associate professor at Universidad Complutense and Universidad Carlos III de Madrid. His educational background includes a PhD and degree in Computer Science from Universidad Politécnica de Madrid, a Psychology degree from UNED, and a Doctor Honoris Causa from Universidad de La Plata (Argentina). He holds multiple master's degrees in IT Audit, Human Resources Management, and Project Management, along with professional certifications including CISA, CISM, CRISC, CGEIT, PMP, and data governance certifications from DAMA. Professor Piattini is a leading expert in software quality, information systems, and security, with a recent strong focus on quantum computing and quantum software engineering. His research spans software engineering methodologies, data quality, AI systems, and the emerging field of quantum software development. He has been recognized as one of the top 15 scholars in systems and software engineering (2004-2008) and among the most active software engineering researchers (2010-2017). His recent publications reveal a significant shift toward quantum computing, with numerous articles on quantum software engineering, quantum-classical hybrid systems, quantum testing frameworks, and quantum software architecture. His work bridges theoretical foundations with practical engineering approaches for the emerging quantum computing paradigm. His scientific recognition includes multiple prestigious awards: Premio Nacional a la Trayectoria Profesional del Ingeniero Informático Premio Gabriel Alonso Herrera from JCCM for research trajectory Premio Grace Hooper from COIICLM Premio Aritmel from SCIE Premio FIUM from Universidad de Murcia Premio a la Trayectoria Profesional de ISACA Madrid As an academic leader, Piattini has founded several spinoff companies including Cronos Ibérica (now Alten), Kybele Consulting, Lucentia Lab, DQTeam, AQCLab (the first ENAC-accredited laboratory for software product quality and data evaluation), and I2SC. He serves as secretary of CTN71/SC7 and is a member of various ISO/IEC and UNE standardization committees, contributing significantly to software quality standards development. His research group has established AQCLab, which has been evaluating software quality for 25 years, demonstrating his long-term commitment to practical applications of software engineering research. Through his leadership in both academic and industrial contexts, Piattini has created a robust ecosystem connecting theoretical research with real-world software quality practices.

• Computer Architecture
• High-Performance Computing
• Multicore and Manycore Systems
• +۷ مورد دیگر

Miquel Moreto Planas is a Senior Lecturer in the Department of Computer Architecture at the Barcelona School of Informatics, Universitat Politècnica de Catalunya (UPC). He is also affiliated with the Barcelona Supercomputing Center (BSC-CNS), a leading institution in high-performance computing. His academic profile is deeply rooted in computer architecture and high-performance computing, with a strong emphasis on practical and theoretical advancements in multicore systems, memory management, and hardware acceleration. His research interests span a wide range of topics including computer architecture, high-performance computing, multicore and manycore systems, cache and memory management, hardware acceleration for genomics and AI, RISC-V processor design, processing-in-memory, interconnection networks, and real-time systems. These interests are reflected in his extensive publication record and collaborative projects. The most recent articles highlight a significant trend toward interdisciplinary research, particularly the application of advanced computer architecture techniques to bioinformatics and healthcare. Key themes include the acceleration of genomic sequence alignment using novel hardware such as processing-in-memory, the development of benchmarks for ARM-based HPC systems in genomics, and the creation of AI-based 3D decision support tools for neurosurgical applications. His work also continues to advance core computer architecture topics like cache management, power-aware resource allocation in heterogeneous systems, and the design of secure, post-quantum cryptographic hardware based on RISC-V. Fulbright Award 2011 HiPEAC Paper Award HiPEAC Paper Award 2024 HiPEAC Paper Award Moreto has been a principal investigator or key contributor to multiple competitive R&D+i projects, such as the STRATUM project for neurosurgical tools, REDIOH for open hardware, and the Laboratorio Zettaescala de Barcelona. He has advised several doctoral students, including López, G., Kostalampros, I., and Haghi, A., and is a core member of the CAP (High Performance Computing) research group at UPC. His work is characterized by strong collaborations with leading researchers like Mateo Valero, Eduard Ayguadé, and Jesús Labarta, often bridging the gap between UPC and BSC-CNS. His laboratory and team affiliations are centered around the CAP group and the Barcelona Supercomputing Center, where he contributes to cutting-edge research in high-performance and embedded computer architectures. His recent work on the BIMSA accelerator and the STRATUM project demonstrates a clear future direction toward applying high-performance computing solutions to critical problems in genomics and medicine.

• Semiconductor Device Simulation
• Nanoelectronics
• TCAD (Technology Computer-Aided Design)
• +۳ مورد دیگر

Daniel Nagy is an Assistant Professor at the Department of Electronics and Computing within the Higher Polytechnic School of Engineering at the University of Seville. His research focuses on nanoelectronics, semiconductor device simulation, and TCAD technologies. He leads the ARQCOMP research group, specializing in computer architecture and novel transistor design. Education details are not explicitly provided in the texts, but his academic focus suggests advanced training in electronics engineering or related fields. His research interests include quantum transport phenomena, nanoscale device variability analysis, and computational modeling of FinFETs, nanowire FETs, and nanosheet transistors. He has extensively contributed to TCAD simulation frameworks such as NESS (Nano-Electronic Simulation Software), emphasizing open-source tools. Research Trends: His work emphasizes transistor scaling challenges for sub-2nm nodes, device variability mitigation, and the development of modular simulation tools. Key topics include nanosheet FET optimization, POM-based molecular memory systems, and benchmarking of emerging transistor architectures. His studies often bridge quantum mechanics (via Schrödinger equation modeling) with classical transport phenomena. No scientific awards are mentioned in the provided texts. He has advised no publicly listed PhD/Master’s students. His ARQCOMP group collaborates on next-generation electronic device architectures and simulation methodologies. Labs/Teams: The ARQCOMP group focuses on advancing computer architecture and nanoelectronic device simulation through interdisciplinary approaches, integrating computational physics, materials science, and electrical engineering.

• Computational Chemistry
• Theoretical Chemistry
• Enzyme Catalysis
• +۷ مورد دیگر

Silvia Osuna Oliveras is an ICREA Researcher at the Institute of Computational Chemistry and Catalysis (IQCC), University of Girona, where she leads the OsunaLab research group. She holds a PhD in Chemistry from the University of Girona (2010) and completed postdoctoral training at UCLA under Prof. K.N. Houk with a Marie Curie Fellowship. She has held prestigious positions including Juan de la Cierva, Ramón y Cajal, and ICREA, reflecting her standing as a leading figure in computational chemistry. Her research focuses on theoretical and computational modeling of enzyme catalysis , with an emphasis on understanding reaction mechanisms, designing biocatalysts, and improving catalytic efficiency using quantum mechanics/molecular mechanics (QM/MM) methods. Her work bridges organic chemistry, physical chemistry, and biochemistry, contributing to sustainable and green chemistry through enzyme engineering. The 15 most recent publications analyzed span high-impact journals such as Nature , Nature Catalysis , Nature Chemical Biology , Nature Communications , JACS , and Angewandte Chemie . These works reveal a strong trend in computational enzymology , reaction mechanism elucidation , and biocatalyst design , often integrating advanced simulation techniques with experimental validation. Key subfields include QM/MM, free energy calculations, protein dynamics, and enzyme engineering for organic transformations. Her scientific achievements have been recognized with numerous awards: Premi Nacional d'Investigació 'María Teresa Toral' (2023) Premi Talent Científic Emergent (2023) EuChemS Lecture Award (2022) FCRi Young Talent Researcher (2019) Lilly-RSEQ Young Investigator (2019) EuCheMS Organic Division Young Investigator (2017) RSEQ Young Investigator (2016) FPdGi Research Prize (2016) She leads a well-funded research program supported by the European Research Council (ERC FASTEN Consolidator Grant, GREENZYME and KITZYME Proof of Concept), MINECO (COCOZYME), and EVOCAT projects, managing approximately €2.6 million in grants. Her lab actively contributes to scientific outreach, having published five popular science articles and co-edited a special issue on 'Nanoreactors and Molecular Prisons' in Current Organic Chemistry . The OsunaLab group is based at the Institute of Computational Chemistry and Catalysis (IQCC), a leading research institute at the University of Girona focused on theoretical and computational approaches in chemistry. The group collaborates internationally and trains the next generation of computational chemists, despite no current students being listed in the provided text.

• Machine Learning
• Big Data
• Knowledge Discovery
• +۷ مورد دیگر

Dr. Borja Sanz Urquijo serves as a Senior Lecturer at the Faculty of Engineering, University of Deusto, and has been a core researcher at DeustoTech-Computing since 2008, including a tenure as Head Researcher (2015-2018). He holds a cum laude PhD in Information Systems (2012) from the University of Deusto, specializing in Android malware detection. Education PhD in Information Systems, University of Deusto (2012, cum laude) His research spans machine learning, big data, and knowledge discovery, with critical expansion into AI ethics, fairness, accountability, and societal impact. He investigates AI applications in domestic violence intervention, health rights, law enforcement transparency, and Edge Computing optimization, consistently bridging technical innovation with social responsibility. His work demonstrates rigorous methodology in small-dataset machine learning and genomic sequence analysis. Dr. Sanz Urquijo's publication trajectory reveals evolving expertise from foundational cybersecurity (Android malware analysis, spam filtering) to contemporary societal challenges (feminist AI frameworks, quantum software security). Recent articles emphasize interdisciplinary collaboration, particularly in feminist technology studies and ethical AI governance, while maintaining technical depth in Edge Computing and genomic analytics. Advising and Projects He has supervised multiple theses including doctoral work on Edge Computing for digital twins and cybersecurity competency frameworks. As lead researcher in over 50 projects (H2020, national, private), he currently directs BEACON (industrial AI systems) and contributes to EU initiatives like IMPROVE (domestic violence response) and ELKARTEK (Industry 5.0 ethics). His collaborations span social organizations, enterprises, and research centers globally. Research Environment As a pillar of DeustoTech-Computing, he operates within a multidisciplinary unit advancing AI, cybersecurity, and Edge Computing applications. His leadership in projects like AI-Driven Cognitive Robotic Platforms and REal tiME control systems demonstrates integration of theoretical research with industrial implementation in smart manufacturing contexts.

• Reinforcement Learning
• Internet of Things (IoT)
• Cognitive Robotics
• +۴ مورد دیگر

Iñaki Vazquez Gomez is a Lecturer and Researcher at the University of Deusto , affiliated with the College of Engineering and Department of Computing, Electronics and Communication Technologies . He holds a PhD in Computer Science and Artificial Intelligence (University of Deusto and Lancaster University) and served as Director of Deusto Institute of Technology (2020-2023). His research focuses on Reinforcement Learning , Internet of Things , and Cognitive Robotics , with applications in human-robot interaction and ambient intelligence. Member of European Internet of Things Council Founder of technology startups Editorial board member of International Journal of Ambient Computing and Intelligence His 15 most recent publications (2005-2024) span themes of Autonomous Systems , Context-Aware Computing , and Smart Environments , with subtopics including semantic device communication, adaptive positioning algorithms, and collaborative robotics architectures. 2024: Adaptive Robot Behavior via Reinforcement Learning 2021: Gesture Recognition for Resource-Constrained Devices 2015: Context-Aware Service Matching in AAL Scientific honors include: X Premio UD-Banco Santander de Investigación (2015) Sexenio de Investigación (2018-2025) Profesor Doctor de Universidad Privada (2009-2025) He supervised PhD students like Asier Gonzalez Santocildes and Ignacio Fidalgo Astorquia, while leading grants such as AI-Driven Cognitive Robotics (2021-2024) and Quantum Technologies (2021-2022). His work includes developing middleware for smart spaces and founding the Sentient Things project for self-adapting environmental systems.

• Distributed Computing
• Heterogeneous Computing
• Programming Models
• +۵ مورد دیگر

Rosa Maria Badia Sala is a Research Professor at the Universitat Politècnica de Catalunya (UPC), affiliated with the Departament d'Arquitectura de Computadors and the Barcelona Supercomputing Center (BSC-CNS). She specializes in distributed computing, heterogeneous systems, and task-based programming models. Her work focuses on advancing high-performance computing (HPC), cloud computing, and workflow management for large-scale scientific applications. She holds a Doctorat en Informàtica and has been actively involved in numerous research projects, including contributions to the COMPSs programming framework and the optimization of HPC workflows. Her collaborations span institutions like BSC-CNS and international initiatives such as JLESC. Recent research includes GPU-accelerated computing, quantum optimization algorithms, and digital twins for power networks. Badia's publications span journals like Future Generation Computer Systems and IEEE Transactions on Parallel and Distributed Systems, reflecting her expertise in parallel computing, distributed systems, and real-time data analysis. She has supervised multiple doctoral theses and contributes to research grants focused on HPC and AI integration.

Daniel Duque Campayoمشاهده پروفایل

استاد

• Applied Mathematics
• Fluid Mechanics
• Computational Fluid Dynamics (CFD)
• +۵ مورد دیگر

Daniel Duque Campayo is a Professor in the Department of Physics Applied to Aeronautical and Naval Engineering at Universidad Politécnica de Madrid (UPM), affiliated with the School of Naval Engineering. He has held this position since 2012 and was appointed Deputy Director of the department in 2023. His research spans Applied Mathematics, Fluid Mechanics, and Computational Fluid Dynamics (CFD), with a focus on numerical simulations and interdisciplinary applications. Education: Implied PhD in Physics or Engineering, though exact details not explicitly provided. His recent publications include topics like blackbody radiation, Voronoi diagrams, and numerical methods in fluid dynamics. While specific awards are not listed, his curriculum highlights contributions to research financing, technological development, and training of young researchers. He actively collaborates with industry and public institutions, particularly in hydrodynamic testing through the CEHINAV group. He utilizes open-source tools like FreeCAD, OpenFOAM, and reveal.js for technical workflows and presentations, emphasizing software freedom. His blog archives from 2016–2025 reflect expertise in von Neumann stability, Coriolis force modeling, and Maxwell constructions for energy modeling.

• Condensed Matter Physics
• Materials Science
• Physical Chemistry
• +۳ مورد دیگر

Professor Jose Francisco Rivadulla Fernandez is a faculty member at the University of Santiago de Compostela, affiliated with the Department of Physical Chemistry in the Faculty of Chemistry. He is part of the Research Center in Biological Chemistry and Molecular Materials (CIQUS) and the MAT2 research group (Condensed Matter & Functional Materials). His work focuses on advanced materials science, particularly in the areas of magnetism, nanotechnology, and thermal conductivity in functional materials. He has contributed extensively to studies on thin films, oxide superlattices, and ferroelectric materials, with applications in electronics, energy, and spintronics. His research explores topics such as electric-field control of thermal properties, topochemical reactions in perovskites, and the integration of functional oxides on silicon using chemical solution deposition. Notable contributions include investigations into resistive switching in oxide devices, interfacial thermal phenomena, and the design of materials for energy harvesting and memory storage. He has also published on educational methods for teaching diffusion processes using mathematical software. His academic background includes a PhD from the University of Santiago de Compostela, where he studied magnetotransport in manganites under Dr. Manuel Arturo López Quintela and Dr. José Rivas Rey. While no formal awards are listed here, his prolific publication record reflects his impactful contributions to materials physics and chemistry.

Jeeseong C. Hwangمشاهده پروفایل

پژوهشگر

• Nanobiophotonics
• Optical Imaging
• Quantitative Molecular Physics
• +۷ مورد دیگر

Jeeseong C. Hwang is a Researcher at the National Institute of Standards and Technology (NIST) in the Applied Physics Division of the Physical Measurement Laboratory, leading the Molecular and Bio-Photonics Group. He has been with NIST since 1993, transitioning from Gaithersburg, MD (1997-2013) to Boulder, CO (2013-present), following prior research at Johns Hopkins University. His academic background includes: Ph.D. in Condensed Matter Physics, Michigan State University B.S. in Physics, Seoul National University Dr. Hwang's research centers on nanobiophotonics and optical imaging , with core expertise in multimodal molecular imaging techniques, development of optical phantoms for medical device calibration, bio-inspired nanoscale assembly for optical sensors, and quantitative image analysis software. His work bridges atomic/molecular physics, quantum optics, and biomedical engineering to solve challenges in pathogen detection and tissue imaging. His scientific impact is recognized through: SPIE Fellowship (2025) NIST/Department of Commerce Silver Medal (2008) Washington Academy of Sciences Biological Sciences Award (2012) With over 100 technical publications and 65+ invited talks, he actively shapes the field through service on the SPIE BiOS Conference committee since 2006. His Molecular and Bio-Photonics Group drives innovation in optical imaging standards and nanoscale biosensors for clinical applications.

PABLO VAZQUEZ REGUEIROمشاهده پروفایل

استاد

• Particle Physics
• High Energy Physics
• Atomic, Molecular and Nuclear Physics
• +۵ مورد دیگر

Pablo Vazquez Regueiro is a Professor at the Faculty of Physics, Department of Particle Physics, University of Santiago de Compostela. He is affiliated with the Galician Institute of High Energy Physics (IGFAE) and the GAES High Energy Physics Group. Education: Ph.D. from University of Santiago de Compostela (2000) - Thesis: Development and construction of electronics for microstrip detector readout Research Interests: His work focuses on experimental particle physics, including detector technology, microstrip electronics, and high-energy collision analysis. Key contributions involve CP violation studies, baryon spectroscopy, and trigger system development. Scientific Contributions: His publications highlight expertise in LHCb collaborations, detector simulation, and data analysis techniques. Research spans Higgs boson properties, dark matter searches, and hadronization mechanisms. Labs & Teams: Actively participates in IGFAE and GAES High Energy Physics Group activities, contributing to international collaborations like LHCb.

• Quantum Computing
• Quantum Chemistry
• High-Performance Computing (HPC)
• +۳ مورد دیگر

Max Rossmannek is a Researcher at IBM Research Europe - Zurich, specializing in the integration of quantum computing and high-performance computing (HPC) systems. His work focuses on developing hybrid quantum-classical algorithms that surpass the capabilities of individual paradigms. Education: Master of Science from ETH Zürich (2020), Dr. sc. nat. from University of Zürich and IBM Research Zürich Research Interests: Quantum Algorithms, Quantum Chemistry, HPC Integration, Computational Materials Science Notable Collaborations: Ivano Tavernelli (Quantum Computing), Antonio Córcoles (Quantum + HPC), Antonio Mezzacapo (Quantum-Centric Supercomputing)

• Quantum Computing
• MRAM
• Near-field Microscopy
• +۳ مورد دیگر

David W. Abraham is a senior researcher at IBM Research - Yorktown Heights specializing in quantum computing and advanced materials. His work spans multiple decades with significant contributions to near-field microscopy, thermal imaging, MRAM technology, and most recently quantum processor development. His primary research interests focus on quantum computing hardware , particularly superconducting bump bonds, through-silicon vias (TSVs), and multi-level wiring systems critical for building scalable quantum processors like IBM's 127-qubit Eagle device. Earlier work included pioneering research in magnetic force microscopy (achieving 25 nm resolution) and thermal imaging applications for disk drives. Analysis of his publication history reveals consistent innovation in quantum hardware engineering, with recent work (2021-2024) concentrated on solving practical integration challenges for quantum processors. His research bridges fundamental physics with practical engineering solutions for next-generation computing systems. Dr. Abraham collaborates extensively with IBM Quantum leadership including Jay Gambetta (VP of Quantum), Matthias Steffen (IBM Fellow), and Oliver Dial (CTO, IBM Quantum), reflecting his integral role in IBM's quantum computing initiative. His laboratory work focuses on quantum processor fabrication and characterization, with particular emphasis on developing reliable interconnect technologies and mitigating decoherence sources in superconducting qubit systems. Current projects appear directed toward scaling quantum processors beyond current device limitations through novel packaging and integration approaches.

• Context-Aware Systems
• Mobile Interaction
• NFC Technology
• +۵ مورد دیگر

Ana Belen Lago Vilariño is a Researcher in the Department of Computing, Electronics and Communication Technologies at the Faculty of Engineering , University of Deusto. With over two decades of experience, her work focuses on context-aware systems , mobile interaction , NFC technology , and educational technology applications. Primary Affiliation: University of Deusto (Faculty of Engineering, Computing Department) Active Projects: STEAM education through robotics, AI for medical devices, quantum computing applications Historical Roles: Directed Unitec Classroom (2003-2007), coordinated Computer Science Engineering (2001-2004) Research Interests span multiple domains: Core: Context-aware mobile services, NFC-based interaction, human-computer interfaces Applications: Educational robotics, medical AI systems, smart city mobility Methodologies: User experience frameworks, lightweight infrastructure design, hybrid intelligence Scientific Contributions show: 2013-2024: 15+ publications on mobile context analysis, quantum behavior prediction, and STEAM education Key trends: Contextual personalization, educational robotics, medical AI integration Awards & Recognitions: X Premio UD-Banco Santander de Investigación (2015) Member of DEUSTEK research group (IT458-10) since 2010 Evaluator for academic excellence awards (2012) Collaborative Work includes European Commission-funded initiatives, Basque Government projects, and cross-institutional research with teams in Spain, Portugal, Italy, and Croatia.