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Dr. Guillem Müller Rigat is a Postdoctoral Researcher at the Institute of Photonic Sciences (ICFO), working in the Quantum Optics Theory research group. He holds a PhD in Photonics from the Universitat Politècnica de Catalunya (Spain). His research focuses on quantum information theory and quantum optics, with a particular emphasis on entanglement, Bell inequalities, and many-body quantum systems. He explores topics such as quantum resource certification, symmetry in quantum states, and applications of machine learning in quantum tomography. Müller Rigat’s work bridges fundamental quantum theory and experimental feasibility, addressing challenges in quantum metrology, nonlocality, and chaos. His recent studies include developing methods to infer quantum correlations from observable data and enhancing protocols for entanglement detection in complex systems. He contributes to advancing theoretical frameworks for certifying quantum systems with minimal experimental resources. He is affiliated with ICFO’s Quantum Optics Theory group, where he collaborates on projects involving Bell inequalities, spin-nematic squeezing, and quantum Fisher information. Despite his postdoctoral focus, he actively publishes in high-impact journals, with a strong emphasis on interdisciplinary approaches combining quantum foundations and applied quantum technologies.

• Quantum Information Theory
• Quantum Optics
• Quantum Entanglement
• +3 more

Florina Almenares Mendoza is an Associate Professor at the Telematics Engineering Department of Carlos III University of Madrid , where she also serves as the Director of the University Master's Degree in Cybersecurity. Her research focuses on addressing security challenges in emerging technologies such as IoT, post-quantum cryptography, and privacy-preserving systems. Email: florina.almenares@uc3m.es Contact: 916246234 Location: 4.0.F06 - Quevedo Towers (Leganés) Research Interests Florina's work spans cybersecurity , Internet of Things (IoT) , and post-quantum cryptography , with a focus on scalable authentication, quantum-resistant protocols, and privacy. She explores machine learning applications for security, federated identity management , and smart grid security frameworks. Recent Publications Her recent research includes papers on DNSSEC soft delegation, hybrid quantum security for TLS/IPsec, PUF-based authentication in IoT, and blockchain-enabled auditability. These studies emphasize IoT security , quantum-resistant algorithms , and privacy-enhancing technologies .

• Cybersecurity
• Internet of Things (IoT)
• Post-Quantum Cryptography
• +5 more

Dr. Elisabet Romero is a Group Leader at the Institute of Chemical Research of Catalonia (ICIQ) , where she leads research in bio-inspired solar energy conversion . Her work focuses on designing chromophore-protein assemblies capable of efficiently converting sunlight into electrochemical energy, mimicking natural photosynthesis. She is supported by prestigious grants, including an ERC Starting Grant and a Marie Curie Fellowship . Education: PhD in Biophysics, VU Amsterdam (2011) Master’s in Chemistry, Institute of Advanced Chemistry of Catalonia BSc in Chemistry (Physical Chemistry specialization), University of Barcelona (2003) Research Interests: Dr. Romero’s research lies at the intersection of physical chemistry, photophysics, and sustainable energy . She investigates the quantum mechanical principles underlying energy and electron transfer in photosynthetic systems, applying this knowledge to engineer artificial systems for solar fuel production. Her group uses ultrafast spectroscopy techniques like transient absorption and 2D electronic spectroscopy to probe femtosecond-scale dynamics. Publications & Research Trends: Her recent publications reflect a strong trend in de novo protein design for artificial light harvesting , excitonic coupling in chromophore systems , and quantum effects in biological energy transfer . Collaborative work with leading institutions highlights her role in advancing synthetic biology and quantum bio-inspired materials. Scientific Awards: European Research Council (ERC) Starting Grant Marie Curie Fellowship Advising and Grants: Dr. Romero mentors a dynamic team of PhD students, postdoctoral researchers, and master’s students . Her group has secured competitive funding from the ERC, Severo Ochoa Programme, and Marie Skłodowska-Curie Actions , supporting innovative research in renewable energy technologies. Labs and Teams: Her laboratory at ICIQ is equipped with state-of-the-art ultrafast spectroscopy facilities. The team fosters a collaborative and inclusive environment, combining rigorous scientific inquiry with social engagement and cultural exchange.

• Artificial Photosynthesis
• Solar Energy Conversion
• Ultrafast Spectroscopy
• +7 more

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.

• Chip-scale Wireless Communications
• Nanocommunications
• Nanonetworks
• +12 more

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.

• Quantum Safe Cryptography
• Threat Management
• Artificial Intelligence Security
• +5 more

Prof. Juan Carlos Cuevas is a Professor of Theoretical Nanophysics at the Universidad Autónoma de Madrid (UAM). He holds a PhD in Physics from UAM (1999) and has led research groups in molecular electronics and nanoscience. His work focuses on superconductivity, quantum transport, and radiative heat transfer at the nanoscale. Key areas of research include: theoretical analysis of molecular junctions, superconducting nanostructures, and near-field thermal phenomena. Cuevas has co-authored influential books such as *Molecular Electronics* (World Scientific, 2017) and pioneered studies on single-molecule conductance and quantum interference effects. Recent contributions include discoveries on phonon interference in molecular junctions (2025), thermodynamic uncertainty relations in superconductors (2025), and advanced machine learning approaches for radiative heat optimization (2024). His work bridges theoretical models with experimental insights from scanning tunneling microscopy and nanofabrication techniques.

• Theoretical Physics
• Nanophysics
• Molecular Electronics
• +4 more

Luis Castedo Ribas is a Professor at the Faculty of Informatics , University of A Coruña (UDC) , Spain, since 2001. Previously held research positions at the University of Southern California (USC) and École supérieure d'électricité (SUPELEC). PhD in Telecommunications Engineering (1993), Technical University of Madrid Department of Computer Engineering Research Group: Electronic and Communications Technology Group Research Interests: Specializing in Signal Processing and Information Theory for Wireless Communications Engineering , with focus on MIMO Communication Systems , 5G Radio Interfaces , Joint Source-Channel Coding , and High-Speed Wireless Communications . His work bridges theoretical advancements with practical prototyping of digital communication systems. Recent Article Trends: Publications span Massive MIMO , Beamforming , AI/ML for Wireless , and Quantum-Inspired Coding , reflecting his leadership in evolving telecom standards (5G→6G). Collaborative work with institutions like IEEE and European consortia. Scientific Awards: Best Student Paper (2007, 2013, 2017) General Co-Chair, IEEE Sensor Array Workshop (2014) General Co-Chair, European Signal Processing Conference (2019) Grants & Collaborations: Principal Investigator in over 50 projects funded by Spanish Ministry of Science, EU programs, and companies like Atos Origin. Key roles in national and international research consortia.

• Signal Processing
• Wireless Communications
• Information Theory
• +5 more

Jens Biegert is ICREA Professor at ICFO (The Institute of Photonic Sciences) leading research in Attosecond X-ray Science, Extreme Photonics, and Quantum Dynamics. His group develops advanced technologies to investigate electron and nuclear dynamics in atoms, molecules, and solids using attosecond soft-X-ray pulses and coincidence imaging techniques. Major research themes include: Attosecond spectroscopy of condensed matter systems Machine learning applications in laser-induced electron diffraction Valleytronics and quantum control in 2D materials He coordinates multiple EU projects including ERC Advanced Grant 'TRANSFORMER', FET-OPEN 'OPTOlogic', and MSCA 'Smart-X'. Recent publications demonstrate breakthroughs in quantum optical characterization of high-harmonic generation and material phase transitions.

• Attosecond X-ray Science
• Extreme Photonics
• Quantum Dynamics

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.

• Computer Architecture
• High-Performance Computing
• Multicore and Manycore Systems
• +7 more

Kenichi Oyaizu is a Professor in the Department of Applied Chemistry at the Faculty of Science and Engineering, Waseda University, Tokyo. His research spans polymer chemistry, energy storage, and materials science, with a focus on functional polymers for batteries, hydrogen storage, and high refractive index applications. He maintains active collaborations across academia and industry. Professor Oyaizu's research centers on designing polymers with tailored redox properties for energy storage systems, including organic radical batteries and hydrogen carriers. He pioneers high refractive index materials through molecular engineering of hydrogen-bonded networks and sulfur-rich frameworks. His group integrates machine learning with experimental synthesis, utilizing lossless data platforms for materials discovery and optimization in electrochemistry and optical applications. Analysis of his 15 most recent publications (2020-2025) reveals three dominant research trajectories: (1) High-refractive-index polymers leveraging hydrogen bonding and sulfur incorporation for optical devices, (2) Energy storage systems using redox-active polymers for batteries and hydrogen carriers, and (3) Materials informatics approaches applying generative models and quantum-inspired algorithms to accelerate polymer design. These streams demonstrate consistent innovation in structure-property relationships for functional materials. No scientific awards or major honors are documented in the provided materials. Professor Oyaizu leads an active research group mentoring graduate students and postdoctoral researchers in polymer synthesis and characterization. His work receives funding from Japanese national agencies supporting sustainable energy materials and advanced polymer research, though specific grant details are not disclosed in the source text. Current projects emphasize machine learning-driven development of solid-state electrolytes and hydrogen storage polymers. His laboratory operates within Waseda University's advanced materials infrastructure, utilizing specialized facilities for polymer synthesis, electrochemical testing, and optical characterization. The team collaborates with international researchers on battery technologies and participates in university-industry consortia focused on sustainable materials development, with recent projects highlighted in Waseda University News and EurekAlert!.

• Polymer Chemistry
• Energy Storage
• Organic Electronics
• +4 more

Gustavo Deco is a Research Professor at the Institució Catalana de Recerca i Estudis Avançats (ICREA) and holds a Professorship (Catedrático) at Pompeu Fabra University (UPF). He leads the Computational Neuroscience Group and directs the Center of Brain and Cognition at UPF. His research focuses on computational models of brain dynamics, integrating biophysics, neuroimaging, and complex systems principles. Deco’s academic journey includes a PhD in Physics (1987, thesis on Relativistic Atomic Collisions), postdoctoral work at the University of Bordeaux (France) and University of Giessen (Germany), and a Habilitation in Computer Science (1997, Technical University of Munich). He has led computational neuroscience research at Siemens Corporate Research Center (1990–2003) and pioneered whole-brain modeling frameworks like The Virtual Brain (TVB). His research interests span critical brain dynamics, non-equilibrium thermodynamics in neural systems, psychedelics’ effects on brain hierarchy, and clinical applications of computational models in disorders such as Alzheimer’s and depression. Recent work emphasizes turbulence-like dynamics in healthy and diseased brains, and biomarker discovery using AI-driven simulations. Deco’s articles (2024–2025) explore topics like entropy production in brain networks, psychedelics-induced flattening of functional hierarchies, sleep-like dynamics post-stroke, and the role of long-range connections in global brain communication. His work bridges theoretical models with clinical insights, aiming to advance personalized neurology and digital brain research.

• Computational Neuroscience
• Neuroscience
• Biophysics
• +3 more

Prof. Antonio Acín is a leading quantum physicist at the Institute of Photonic Sciences (ICFO) in the Department of Quantum Information. His research focuses on quantum foundations, cryptography, and certification of quantum technologies, bridging theoretical insights with experimental collaborations. He actively collaborates with global institutions, including the Max-Planck-Institut and the University of Geneva. His work emphasizes device-independent quantum protocols, quantum thermodynamics, and many-body physics. Key achievements include proposing experimental falsification of real-number quantum theories and applying machine learning to quantum phase discovery. Acín leads projects funded by the European Research Council (ERC), EU initiatives CiviQ and QRANGE, and Spanish government grants (FIS2020-TRANQI, Severo Ochoa). ERC AdG CERQUTE AXA Chair in Quantum Information Science EU projects CiviQ and QRANGE Acín collaborates with over 20 international researchers, advancing interdisciplinary frontiers in quantum science.

• Quantum Information Theory
• Quantum Cryptography
• Quantum Foundations
• +5 more

Jose David Martin Guerrero is a Professor in the Department of Electronic Engineering at the School of Engineering, Universitat de València. His research is conducted within the Intelligent Data Analysis Laboratory (IDAL), focusing on the intersection of quantum computing, machine learning, and biomedical applications. His research interests span Quantum Machine Learning , Reinforcement Learning for Quantum Control , Deep Learning for Medical Image Analysis , and Long-COVID Symptom Trajectory Modeling . He applies advanced AI techniques to solve complex problems in physics, healthcare, and engineering, particularly in modeling prostate cancer, hemodialysis, and post-COVID neurological and functional impairments. The recent publications highlight a strong trend toward integrating quantum computing with classical machine learning, especially in developing quantum neural networks, quantum autoencoders, and reinforcement learning for quantum gate optimization. Simultaneously, a significant body of work uses clustering, deep learning, and Bayesian modeling to analyze longitudinal clinical data from multicenter studies like LONG-COVID-EXP, aiming to understand symptom persistence and recovery patterns in post-COVID patients. Dr. Martin Guerrero earned his PhD from the Universitat de València in 2004 with a thesis on unsupervised techniques for web trend detection and collaborative filtering-based recommendation systems, supervised by Dr. Emilio Soria Olivas and Dr. Paulo Jorge Gomes Lisboa. His work demonstrates active collaboration across disciplines, particularly in clinical research involving multicenter studies, and in quantum computing applications in physics and finance. While no specific grants are mentioned, his involvement in large-scale clinical studies and quantum computing research suggests significant project leadership and funding acquisition. He leads research within the Intelligent Data Analysis Laboratory (IDAL) , which focuses on self-organizing maps, clustering, learning vector quantization, and their applications in security, healthcare, and quantum systems.

• Quantum Machine Learning
• Reinforcement Learning
• Medical Informatics
• +12 more

Dr. Roberta Zambrini is a CSIC Senior Scientist and Deputy Director at the Institute of Interdisciplinary Physics and Complex Systems (IFISC), a joint institute between the Spanish National Research Council (CSIC) and the University of the Balearic Islands (UIB). She holds a prominent position in quantum physics research with significant contributions to complex quantum systems. Her research spans Complex and Open Quantum Systems , Quantum Networks , Quantum Synchronization , and more recently Quantum Machine Learning . Dr. Zambrini has pioneered work in quantum reservoir computing and quantum associative memories, bridging theoretical quantum physics with practical information processing applications. Dr. Zambrini has led numerous significant research projects including QuaResC (Quantum machine learning using reservoir computing), QUAREC, and QuProCS (an EU Horizon 2020 project). Her publication record shows consistent high-impact contributions in quantum information science, with recent work focusing on quantum machine learning implementations and theoretical frameworks. Her scientific recognition includes: Guarantor of the 'Unit of Excellence Maria de Maeztu' Award (2018-2022) Coordinator of CSIC's White Paper on Digital and Complex Information Divisional Associate Editor of Physical Review Letters since 2020 As an educator, she teaches in the Master in Physics of Complex Systems program, specializing in quantum aspects of complex systems. She actively mentors doctoral students in the Physics doctoral program and has organized numerous international workshops on quantum complex systems, demonstrating strong leadership in her field.

• Complex Quantum Systems
• Open Quantum Systems
• Quantum Synchronization
• +4 more

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.

• Machine Learning
• Big Data
• Knowledge Discovery
• +7 more