جست‌وجوی استاد و پژوهشگر

Mathieu Salzmannمشاهده پروفایل

عضو هیئت علمی

• Computer Vision
• Machine Learning
• Deep Learning
• +۷ مورد دیگر

Mathieu Salzmann is a Senior Scientist and Lecturer at École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the Computer Vision Laboratory (CVLAB) in the School of Computer and Communication Sciences (IC). He also holds a courtesy appointment with the EPFL College of Humanities and serves as Deputy Chief Data Scientist at the Swiss Data Science Center (SDSC). He has held concurrent roles in teaching units including SIN, SODH, and SSC, reflecting his interdisciplinary engagement. His research focuses on the intersection of machine learning and computer vision, particularly in deep learning for 2D and 3D visual scene understanding, efficient and robust models, domain adaptation, and interpretable AI. These interests are evident across his extensive publication record in top-tier venues. His recent publications (2023–2024) show a consistent trend in advancing deep learning methods for visual recognition, with strong representation at CVPR, ICCV, ECCV, ICML, ICLR, and NeurIPS. Topics include domain generalization, 3D understanding, model robustness, and multimodal learning, often with applications in real-world systems. His editorial roles as Associate Editor for IEEE TPAMI and Action Editor for TMLR further highlight his leadership in the field. Area Chair: ICML 2023, CVPR 2023, ICCV 2023, NeurIPS 2023, AAAI 2024, ECCV 2024 Associate Editor: IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) Action Editor: Transactions on Machine Learning Research (TMLR) Mathieu Salzmann has supervised numerous PhD students at EPFL, both current and past, including Bouquet Yann Yanis, Javed Saqib, Li Shuangqi, and others. He has also been involved in research grants and collaborative projects, such as his work with S. Süsstrunk and R. Baroni on comics reconfiguration. His part-time role as Senior GNC Engineer at ClearSpace (2020–2024) illustrates his applied research engagement in aerospace systems. He is actively involved in EPFL’s data science and AI research ecosystem through SDSC and multiple labs.

Elliott Ashمشاهده پروفایل

دانشیار

• Law and Economics
• Political Economy
• Econometrics
• +۵ مورد دیگر

Elliott Ash is an Associate Professor of Law, Economics, and Data Science at ETH Zurich's Center for Law & Economics. He holds a Ph.D. in Economics and J.D. from Columbia University, a B.A. in Economics, Government, and Philosophy from the University of Texas at Austin, and an LL.M. in International Criminal Law from the University of Amsterdam. His research focuses on empirical legal studies using econometrics, NLP, and ML, examining topics like judicial behavior, legislative impact, and AI-driven governance. He has been funded by the ERC, Swiss NSF, and others. Research Interests: Elliott explores automation of legal decisions, text-as-data analysis in law, and the intersection of AI with legal systems. He develops tools like BallotBot and LePaRD to enhance legal transparency and public understanding. His work bridges law, economics, and computer science, with publications in top journals like the American Economic Journal and Review of Economics and Statistics . Teaching: Courses include Building a Robot Judge , Natural Language Processing for Law , and Big Data for Public Policy . He co-organizes the Zurich Workshop in AI+Economics and Monash-Warwick-Zurich Text-as-Data Workshops. Awards: European Research Council Starting Grant, Swiss National Science Foundation Grant, and multiple grants from U.S. and Swiss institutions. His work has been featured in NPR , VoxEU , and Georgetown Law Journal . Labs/Teams: Leads the Swiss AI Initiative's Human-AI Alignment team, collaborates with the CEPR on Political Economy research, and serves as an Economic Journal Associate Editor.

Margarita Boenig-Liptsinمشاهده پروفایل

استادیار

• Social and political aspects of digital technologies
• Identity and citizenship in technological societies
• Ethics of Technology
• +۵ مورد دیگر

Margarita Boenig-Liptsin is a tenure-track Assistant Professor of Ethics, Technology and Society at ETH Zurich's Department of Humanities, Social and Political Sciences, a position she has held since September 2022. Trained in Science, Technology and Society with dual PhDs from Harvard University (History of Science) and Université Paris-Sorbonne (Philosophy), she brings interdisciplinary expertise to examining the relationship between technology, power, democracy, and ethics. Her research spans several interconnected areas focusing on transformations to human identity and citizenship in relation to information technologies across time and cultures. She investigates the social and political aspects of digital technologies, identity and selfhood in technological societies, ethics of technology, and comparative cultures of innovation. Her work uniquely bridges historical analysis with contemporary ethical concerns, examining how concepts like human dignity evolve alongside technological developments from punch cards to AI governance frameworks. Her recent publications (2023-2025) reveal a strong focus on AI ethics, data justice, and the philosophical implications of algorithmic systems. These works demonstrate her consistent interest in how technology shapes democratic processes, citizenship, and ethical frameworks. Her research shows progression from historical studies of computer literacy programs to contemporary analyses of generative AI's impact on knowledge production and everyday ethics. Her scientific recognition includes: NSF funding for her collaborative project on Silicon Valley's innovation imaginary Mozilla Foundation Responsible Computer Science Challenge grant (2018-2021) Academic Data Science Alliance support (2020-2022) Sorbonne Université's Paris IAS Chair on 'Major Changes' (2021-2022) At ETH Zurich, she leads research and teaching initiatives that build connections between engineering and social sciences. Previously at UC Berkeley, she directed the Human Contexts and Ethics Program, developing the Human Contexts and Ethics component for data science education. Her work consistently emphasizes translating social science theory for diverse audiences and connecting scholarly work to community needs in Zurich, Switzerland, and Europe. She teaches courses including 'Artificial Intelligence and Human Values' and 'Research in Ethics, Technology and Society' for the Fall 2025 semester.

Devis Tuiaمشاهده پروفایل

دانشیار

• Earth Observation
• Remote Sensing
• Machine Learning
• +۵ مورد دیگر

Devis Tuia serves as Associate Professor at the Swiss Federal Institute of Technology Lausanne (EPFL), holding appointments in the Institute of Environmental Engineering (IIE) within the School of Architecture, Civil and Environmental Engineering (ENAC). He leads the Environmental Computational Science and Earth Observation Laboratory (ECEO) since 2020 and contributes to EPFL's Doctoral Program in Civil and Environmental Engineering. His academic journey began in Lausanne with studies at UNIL and EPFL, culminating in a PhD in remote sensing from UNIL. Postdoctoral research followed at institutions in Valencia, Boulder, and EPFL, focusing on machine learning model adaptation. He progressed from Research Assistant Professor at University of Zurich to Associate and Full Professor at Wageningen University before joining EPFL. Tuia's research bridges Earth observation with artificial intelligence, specializing in interpretable deep learning for environmental applications. His lab develops algorithms for making remote sensing accessible, with particular emphasis on digital wildlife conservation through automated censuses using drone and satellite imagery. Current projects tackle the 'black box' problem in environmental modeling while advancing spatial intelligence for sustainable urban development. His 2023-2025 publication portfolio reveals three dominant trends: (1) species distribution modeling using incomplete observations, (2) multimodal fusion of satellite/drone data with textual descriptions, and (3) interpretable AI frameworks for environmental decision-making. This work consistently addresses real-world challenges like wildfire forecasting and biodiversity monitoring. As an educator, Tuia supervises 12 current PhD students and has graduated 4 former EPFL doctoral candidates. His teaching portfolio includes Frontiers of Deep Learning for Engineers , Sensing and Spatial Modeling for Earth Observation , and Image Processing for Earth Observation courses. The ECEO laboratory maintains active collaborations with ESA-NASA initiatives and conservation organizations globally.

Emilio Frazzoliمشاهده پروفایل

استاد

• Autonomous Robotics
• Control Systems
• Game Theory
• +۴ مورد دیگر

Emilio Frazzoli is a Full Professor at ETH Zurich’s Department of Mechanical and Process Engineering. He leads the Institute for Dynamic Systems and Control and the Center for Sustainable Future Mobility, focusing on autonomous systems, robotics, and socio-technical control frameworks. Current affiliations: ETH Zurich (Dynamic Systems and Control, Sustainable Future Mobility) Research: Autonomous mobility-on-demand, game theory for resource allocation, and safety verification in multi-agent systems His work bridges robotics, control theory, and economics, with projects like the open-source AMoDeus simulation framework for autonomous taxis and karma-based resource allocation systems. Recent publications emphasize trustworthy AI, reproducibility in autonomous vehicle control, and human-robot interaction challenges. Notable projects include nuReality (VR-based pedestrian interaction studies) and CARSI II (context-driven vehicle interfaces).

Clémence Poirierمشاهده پروفایل

پژوهشگر ارشد

• Space cybersecurity
• Electronic conflict in outer space
• Cyber conflict in outer space
• +۳ مورد دیگر

Clémence Poirier is a Senior Researcher in the Cyberdefense Project within the Risk and Resilience Team at the Center for Security Studies (CSS) at ETH Zurich. She previously served as a Research Fellow at the European Space Policy Institute (ESPI) in Vienna and as a Researcher for Flinders University in Adelaide, Australia. She also holds the position of Space Generation Advocacy and Policy Platform's Lead on Responsible Space Behavior at the Space Generation Advisory Council (SGAC). Her educational background includes a Master's degree in International Relations, International Security and Defense and a Bachelor's degree in Foreign Applied Languages (English, Russian, Spanish), both from University Jean Moulin Lyon III, France. Dr. Poirier is multilingual, which supports her international research collaborations. Dr. Poirier's research focuses on the critical intersection of space operations and cybersecurity, with particular emphasis on geopolitical implications of cyber conflict in outer space. Her work examines how terrestrial conflicts like the Ukraine war impact space security architecture and explores policy frameworks for protecting space infrastructure from cyber threats. She has conducted extensive research on space cybersecurity policy across multiple jurisdictions including Australia, Europe, and the United States. Analysis of her publication record reveals a clear progression from foundational space policy research toward increasingly specialized work on space cybersecurity. Her recent publications demonstrate growing attention to practical policy implementation challenges, with several papers addressing specific national and regional approaches to space cybersecurity governance. There's also a notable trend toward multidisciplinary collaboration, particularly with technical experts in space systems engineering. Dr. Poirier has established significant research partnerships with major space institutions including the European Space Agency, with whom she collaborated on climate policy research examining the integration of space-based data in European environmental policies. Her work with SmartSat CRC in Australia demonstrates international research coordination on space infrastructure security. She leads research initiatives focused on responsible space behavior and has contributed to policy development through her work with the European Economic and Social Committee. Her current Cyberdefense Project at ETH Zurich's CSS represents the culmination of her expertise in space security policy development.

• Health Systems Research
• Health Services Research
• Health Economics
• +۴ مورد دیگر

Prof. Alexander Geissler holds the position of Full Professor of Health Care Management at the School of Medicine (Med-HSG) within the University of St. Gallen. His research focuses on health systems research, health economics, and health policy, with particular emphasis on digital transformation in healthcare and patient-reported outcomes. He has contributed extensively to studies on healthcare quality improvement, public reporting systems, and the integration of artificial intelligence in medical diagnostics and screening programs. His work spans topics like optimizing hospital digital maturity (e.g., German DigitalRadar project), analyzing surgical outcomes (robotic vs. open prostatectomies), and evaluating patient empowerment through quality information. He has pioneered methodologies for interpreting patient-reported outcomes (e.g., EQ-5D-3L) and designing clinical dashboards to enhance care delivery. Recent research highlights include investigating AI applications in breast cancer screening and cost-effectiveness of remote patient monitoring post-joint replacement surgery. Geissler’s publications demonstrate a strong focus on healthcare policy implications, such as hospital capacity planning, payment systems for specialized care, and cross-country comparisons of healthcare transparency initiatives. His work frequently bridges academic rigor with practical policy recommendations, particularly in Switzerland and Germany. Notably, he has addressed low-value care reduction, price sensitivity in healthcare demand, and the socio-demographic factors influencing healthcare utilization. While no specific awards are listed, his prolific research output reflects sustained leadership in health systems analysis. His academic contributions are disseminated through the Alexandria Research Platform and international peer-reviewed journals.

• Hospitality Technology
• Service Robotics
• Customer Experience
• +۵ مورد دیگر

Reza Etemad is a Professor at EHL Hospitality Business School (part of HES-SO), specializing in marketing and hospitality technology. His research focuses on human-robot interaction, healthcare technologies in elderly care, and the application of technology in service delivery. He has led multiple projects funded by HES-SO and private partners, including studies on service robots' ethical implications, connected health technologies for seniors, and virtual agents in B2B/B2C contexts. Notable achievements include extending the Technology Acceptance Model (TAM) to healthcare and robotic service contexts, analyzing cultural impacts on online shopping risks, and investigating customer perceptions of revenue management practices in restaurants. He has published widely in journals such as International Journal of Hospitality Management and International Journal of Social Robotics , with a focus on bridging technological advancements and human-centric service solutions. Education: BSc in Hospitality from EHL. Key Projects (2010-2021): Led projects totaling over 298,600 CHF, including studies on robot ethics, smart home healthcare, and virtual agent impacts on B2B platforms. Awards: None explicitly listed, though his impactful research has driven industry-relevant insights. Labs/Teams: Collaborates with researchers like Justine Gentinetta and Valentina Clergue on robotics and healthcare tech. Partnerships include Touchmind for B2B digital solutions. Future Work: Expanding studies on AI ethics in service robots, sustainable healthcare technologies, and post-pandemic digital education strategies. His work emphasizes balancing technological innovation with ethical considerations, particularly in preserving human interaction's role in healthcare and hospitality sectors.

• Digital Health
• Mobile Computing
• Human-Computer Interaction
• +۴ مورد دیگر

Katarzyna Wac is a researcher at the University of Geneva affiliated with the Faculty of Economics and Management and the Information Science Institute . Her work bridges Digital Health , Mobile Computing , and Human-Computer Interaction , focusing on leveraging wearable devices, smartphones, and AI for health and quality of life (QoL) quantification. Research Themes: Digital biomarkers for Alzheimer's and migraines, QoL assessment via ubiquitous computing, peer- and self-reported behavioral data, and QoE of mobile applications. Labs: Leads the mQoL Lab , a platform for interactive, mobile, and wearable-based studies. Her recent publications explore Transformer models for health data analysis, social robots in homecare, and ethical frameworks for digital mental health. She has contributed to standards for proxy-reported QoL measures and personalized drug delivery systems in digital health. The multimodal integration of emotional signals and context-aware QoS/QoE provisioning for m-health services are recurring technical themes. Key collaborations include the MobiHealth project and COPD24 , translating future internet technologies into telemonitoring solutions. Her work spans from foundational studies on mobile cognition to applied ambulatory assessment of affect and health risks.

• Reinforcement Learning
• Computational Decision-Making
• Artificial Intelligence
• +۵ مورد دیگر

Carlo D'Eramo is Professor and Head of the Reinforcement Learning and Computational Decision-Making professorship at the Center for Artificial Intelligence and Data Science (CAIDAS) of University of Würzburg. He additionally serves as an independent group leader of hessian.AI, focusing on developing lightweight methods to obtain adaptive autonomous agents that can handle real-world complexity. His academic journey includes: B.Sc. in Computer Engineering from Politecnico di Milano (2011) M.Sc. in Computer Engineering from Politecnico di Milano (2015) Double degree in Computer Science from University of Illinois at Chicago (2015) Ph.D. in Information Technology from Politecnico di Milano (2019) Postdoctoral research at TU Darmstadt's Intelligent Autonomous Systems group (2019-2022) D'Eramo leads the LiteRL research group investigating how agents can efficiently acquire expert skills accounting for real-world complexity. His research spans multiple reinforcement learning domains including multi-task, curriculum, adversarial, options, and multi-agent RL. His work bridges theoretical advances with practical applications, particularly in robotics and decision-making systems. His recent publications (2023-2025) demonstrate significant contributions across exploration strategies, neural network architectures, multi-agent coordination, and physics-informed machine learning. His work frequently appears in top-tier venues including TMLR, RLJ, IEEE PAMI, ICML, and ICLR, with multiple papers receiving spotlight or oral presentation designations. Professional activities include: Senior area chair for RLC Area chair for AAAI, ACML, AISTATS, NeurIPS, and ICLR Reviewer for DFG and ERC proposals Creator of MushroomRL reinforcement learning framework D'Eramo actively contributes to academic community service while mentoring researchers in his group. His work on lightweight methods aims to make reinforcement learning more practical for real-world applications across various domains.

Auke Jan Ijspeertمشاهده پروفایل

استاد

• Biorobotics
• Computational Neuroscience
• Robotics
• +۱۲ مورد دیگر

Auke Jan Ijspeert is a full professor at the École Polytechnique Fédérale de Lausanne (EPFL), where he serves as head of the Biorobotics Laboratory (BioRob). He holds a primary affiliation with the Institute of Bioengineering and a secondary affiliation with the Institute of Mechanical Engineering. His academic leadership and research excellence have established him as a leading figure in bio-inspired robotics and computational neuroscience. B.Sc./M.Sc. in Physics, École Polytechnique Fédérale de Lausanne (EPFL), 1995 Ph.D. in Artificial Intelligence, University of Edinburgh, 1999 Postdoctoral research at IDSIA/EPFL and University of Southern California (USC) SNF Assistant Professor at EPFL, 2002 Promoted to Associate Professor, October 2009 Promoted to Full Professor, April 2016 His research lies at the intersection of robotics, computational neuroscience, nonlinear dynamical systems, and applied machine learning. He investigates animal locomotion and movement control using numerical simulations and robotic platforms, aiming to understand biological principles and apply them to novel robot designs and controllers. His work has led to groundbreaking robots like the salamander-inspired Pleurobot and amphibious robotic systems. He also explores applications in assistive technologies such as exoskeletons and smart furniture for people with limited mobility. The recent publications reflect a strong trend in bio-inspired robotics, neuromechanical modeling, and the use of robots to understand biological locomotion. Key themes include spinal cord modeling for gait control, amphibious and aquatic locomotion, central pattern generators, and the evolutionary transition from swimming to walking. His work integrates neuroscience, biomechanics, and robotics to create physical models that serve both engineering and scientific discovery purposes. Scientific Awards and Honors: IEEE Fellow (2020) Best Paper Prize, CLAWAR 2019 Best Conference Paper Award, SAB 2018 Best Paper Award, IEEE RO-MAN 2014 Best Paper Award, IEEE Humanoids 2007 Overall Best Paper Award, IEEE ICRA 2002 Young Professorship Award, Swiss National Science Foundation Marie Curie Scholarship, European Commission Auke Ijspeert has been actively involved in academic service, serving as an associate editor for IEEE Transactions on Robotics (2009–2013) and Soft Robotics (2018–2021), and as an associate editor for IEEE Transactions on Medical Robotics and Bionics and the International Journal of Humanoid Robotics. He has secured major funding from the Swiss National Science Foundation, Human Frontier Science Program, European Commission (FP7, H2020), Human Brain Project, and other international agencies. He has organized seven major international conferences and served on over 50 program committees. His laboratory, BioRob, is a hub for interdisciplinary research, training students and researchers in biorobotics, and fostering collaboration across neuroscience, robotics, and biomechanics.

Christian Alexander Hildebrandمشاهده پروفایل

استاد

• Marketing Analytics
• Digital Marketing
• Behavioral Science
• +۴ مورد دیگر

Christian Alexander Hildebrand is a Full Professor of Marketing Analytics and Director of the Institute of Behavioral Science and Technology (IBT-HSG) at the University of St. Gallen. His research bridges Human-Computer Interaction (HCI) and consumer behavior, focusing on digital voice assistants, chatbots, and mobile devices. He holds post-doctoral affiliations with Stanford University, Duke University, and the University of Michigan. Education: Doctoral studies and post-doctoral visits at Stanford, Duke, and University of Michigan His research emphasizes methodologies like large-scale field experiments and feature extraction from voice/image/text data. Key themes include consumer-firm interface optimization and technology's impact on decision-making. His work appears in top journals such as Journal of Consumer Research and Information Systems Research . Awarded the Swiss Academy of Marketing Science’s 'Rigor and Relevance Award,' his research is funded by public/private institutions and disseminated through practitioner outlets like NIM Marketing Intelligence Review . He teaches Machine Learning for Marketers, Web Data Analytics, and experimental design. Grants: Supported by major public/private institutions Labs/Teams: Leads IBT-HSG, collaborating with corporations in retail, consumer electronics, automotive, and finance sectors

Martin Raubalمشاهده پروفایل

استاد

• Spatial Decision-Making
• Mobile Geographic Information Systems (GIS)
• Location-Based Services (LBS)
• +۷ مورد دیگر

Prof. Dr. Martin Raubal is a Full Professor at the Institute for Cartography and Geoinformation, Department of Civil, Environmental and Geomatic Engineering, ETH Zurich. He leads research on spatial decision-making, mobile GIS, and location-based services, with applications in transportation, energy, and aviation. His work integrates cognitive engineering and eye-tracking to analyze human mobility and interaction with geospatial systems. Doctorate in Geoinformation (with distinction), Vienna University of Technology (2001) MS in Spatial Information Science and Engineering, University of Maine (1997) Dipl.-Ing. in Surveying Engineering and Geoinformation, Vienna University of Technology (1998) His research focuses on spatiotemporal human mobility, cognitive models for GIS, and sustainable urban systems. Key projects include the Digital Underground initiative at the Singapore-ETH Centre and the Empirical Use and Impact Analysis of Mobility-as-a-Service (EIM). Awards include the UV-Helava Prize and multiple best paper recognitions. Recent publications emphasize 3D spatial analysis, AI-driven geospatial tools, and causal inference in mobility modeling. Collaborations span institutions like Lufthansa Systems, SBB, and ETH-IVT. His lab investigates applications such as electric vehicle charging networks, bikeability indexes, and augmented reality in transportation planning.

• Reconfigurable Computing
• Electronics Design Automation
• FPGA Design
• +۶ مورد دیگر

Andrea Guerrieri serves as an Associate Professor at the School of Engineering, University of Applied Sciences and Arts Western Switzerland Valais (HES-SO Valais-Wallis), specializing in reconfigurable computing and electronics design automation. His research has established significant industry impact through tools like DynaRapid and Dynamatic, with technology adopted by major semiconductor companies including MIPS, Intel, and AMD-Xilinx. BSc HES-SO in Industrial Systems - System-on-Chip specialization BSC HES-SO in Computer and Communication Systems - Digital Design specialization MSc HES-SO in Engineering - Embedded Hardware and Firmware specialization Professor Guerrieri's research focuses on reconfigurable computing, electronics design automation (EDA), and security, with particular emphasis on FPGA design, high-level synthesis, and post-quantum cryptography implementations. His work bridges the gap between theoretical computer architecture and practical hardware implementations, with strong applications in space technology and embedded security systems. His recent publications demonstrate increasing focus on energy-efficient implementations for space applications and quantum-resistant cryptographic systems. Analysis of his 15 most recent publications reveals a clear research trajectory toward optimizing FPGA implementations for post-quantum cryptography and space applications. His work consistently addresses the performance bottlenecks in high-level synthesis while maintaining practical applicability for industry partners like NASA, CERN, and major semiconductor companies. The recent surge in best paper awards (three in 2024 alone) reflects growing recognition of his contributions to efficient FPGA compilation techniques and cryptographic implementations. Scientific Awards: Best Paper Award at FPL 2024 Best Paper Award at HPEC 2024 Best Paper Award at ISFPGA 2020 Outstanding Short Paper Award at IEEE HPEC 2024 Outstanding TPC Member Award at DAC 2024 IEEE Senior Member (2021) Multiple Best Paper nominations (FCCM 2022, FPL 2022, HiPEAC 2022) Professor Guerrieri actively participates in international research projects including the DyReCte project (2019-2021) on dynamically reconfigurable cryptoengines for nano-satellites. He currently chairs the Onboard Computing topic for the Swiss consortium CHEESE affiliated with NASA SSERVI and collaborates extensively with industry partners including AMD-Xilinx, NVIDIA, Arm, NASA, and CERN, as well as academic institutions like ETH Zurich and University of Geneva. His current research focuses on developing next-generation EDA tools and reconfigurable computing platforms for both terrestrial and space applications. His laboratory work centers around FPGA-based prototyping and validation, with specialized facilities for space applications testing. Professor Guerrieri leads a research team that includes Andres Upegui, Quentin Berthet, Laurent Gantel, and Gabriel Da Silva Marques, focusing on practical implementations of reconfigurable architectures for security and space applications.

• Computer Networking
• Machine-to-Machine Communications
• IoT (Internet of Things)
• +۴ مورد دیگر

Gianluca Rizzo is an Adjunct Professor at HES-SO Valais-Wallis, affiliated with the Higher School of Management (Haute Ecole de Gestion) and the Internet of Things (IoT) department linked to EPFL. He holds a Computer Science Bachelor's degree from UC3M University in Madrid. His research focuses on IoT, vehicular communications, AI-driven network optimization, and disaster-resilient systems. Education: Computer Science BSc (UC3M University, Madrid) Affiliations: HES-SO Valais-Wallis, EPFL IoT Group, RECODIS (Post-Disaster Communications Lab) His work spans energy-efficient networking, opportunistic content dissemination (Floating Content), and distributed learning techniques. Key contributions include optimizing multi-agent systems in dynamic environments, developing gossip learning frameworks for urban trajectory prediction, and analyzing SWIPT (Simultaneous Wireless Information and Power Transfer) in vehicular networks. He also explores emergency networks for post-disaster scenarios, leveraging technologies like UAVs and floating content for situational awareness. Recent publications emphasize AI-native vehicular communications, edge computing orchestration, and infrastructure savings via moving base stations. Collaborative projects include V-Edge (virtual edge computing) and the NOSE nomadic sensing ecosystem. His work bridges theoretical models (e.g., stochastic geometry) with practical implementations, addressing challenges in 5G/6G, smart cities, and industrial IoT.