Roberto Berjón Gallinas is a Professor at the School of Computer Science, Deusto University. His research focuses on semantic technologies, internet of things, and data integration, with a strong emphasis on mobile applications and open data. He leads two research groups: ICS (Innovación en Ciencias Sociales) MARATON (Mobile applications, internet of things, data processing, semantic technologies, open data) His recent work includes developing smart tracking frameworks for IoT workflows and digital twins, event-driven architectures for IoT systems, and semantic integration solutions for university research. His projects often bridge technical innovation with practical applications in collaborative e-learning and spatial analytics. Key trends in his publications highlight advancements in IoT frameworks , semantic technologies for data integration, and real-time systems using BLE and open data. These works frequently intersect with collaborative e-learning , university transparency , and adaptive mobile platforms .
Guillermo Toral is an Assistant Professor of Political Science at IE University and a Faculty Affiliate at MIT GOV/LAB. He holds a PhD from MIT (2020), an MPhil from the University of Oxford (2011), and a Licenciatura from Universidad Complutense de Madrid (2009). His research focuses on comparative politics, political economy, and governance, with a regional emphasis on Latin America and Southern Europe. He examines relationships among state actors, anti-corruption policies, and their impact on public service delivery and human development. His academic experience includes tenure-track roles at IE University (2022–present) and Vanderbilt University (2020–2022). He previously worked at the World Bank (2011–2014) on education policy and human development programs. His research has been published in top journals like the American Journal of Political Science and Journal of Politics , earning awards such as the AJPS Best Article Award and APSA Health Politics Best Paper Award. Key research areas include bureaucratic accountability, political budget cycles, and the political uses of public employment. His book project explores how lame-duck governments disrupt bureaucracy and service delivery. Teaching evaluations highlight his expertise in comparative politics and political economy at both undergraduate and graduate levels. Awards: Harold D. Lasswell Award, AJPS Best Article Award, APSA Health Politics Best Paper. Grants: Ramón y Cajal fellowship (IE University). Labs/Teams: MIT GOV/LAB Affiliate.
Dr. Jose Pino Ortega is an Associate Professor in the Department of Physical Activity and Sport at University of Murcia's Faculty of Sports Sciences. As Research Director of the Chair of Education, Activity and Cancer, he specializes in sports performance analysis and applied sports technology. His research focuses on developing and validating tracking systems for athlete monitoring across various sports. Recent publications examine performance indicators in paralympic football, wearable sensor validation for beach volleyball, and physiological demands in extreme sports.
Wouter Lueks is a faculty member at the CISPA Helmholtz Center for Information Security in Saarbrücken, Germany. His research focuses on designing secure, practical, and privacy-friendly systems using applied cryptography, anonymous communication, and systems engineering. He leads a lab and actively mentors PhD and PostDoc researchers. Education: PhD in Computer Science (Radboud University, Netherlands), advised by Jaap-Henk Hoepman and Bart Jacobs. Postdoctoral Researcher at EPFL, Switzerland (SPRING Lab). Research Interests: Privacy-preserving systems for humanitarian aid and public health. Cryptography in decentralized networks and anonymous communication. Secure protocols for identity management and voting systems. Key Publications: Recent work includes privacy-preserving digital wallets for aid distribution (IEEE S&P 2025), biometric deduplication systems (IEEE S&P 2024), and decentralized proximity tracing protocols (Commun. ACM 2022). His research emphasizes practical applications of zero-knowledge proofs and attribute-based credentials. Awards: Distinguished Paper Award at IEEE S&P 2023. Runner-up Casper Bowden PET Award 2021 and CNIL-Inria Privacy Award 2021. Advising & Grants: Supervises PhD/PostDoc researchers and collaborates on projects funded by EU and industry grants. Active in open-source contributions, including the zksk library and Lightnion anonymous communication tool. Labs/Teams: Principal investigator at CISPA, collaborates with the SPRING Lab (EPFL) and leads interdisciplinary teams in privacy-enhancing technologies.
Tania Fernández Villa is an Associate Professor in the Department of Biomedical Sciences at the Faculty of Veterinary Medicine, University of León. Her primary academic affiliation centers on preventive medicine and public health research within the GIIGAS (Interactions Gene-Environment-Health) research group. Her research spans nutritional epidemiology, gender studies in food systems, substance use disorders, and chronic disease prevention. Key focus areas include alcohol consumption patterns among university students (via the UniHcos cohort), sarcopenia in metabolic syndrome, breast cancer risk factors, and pandemic impacts on health behaviors. Her work integrates longitudinal cohort analysis, systematic reviews, and psychometric validation studies. Recent publications demonstrate strong trends in gender-disaggregated health research, pandemic-related behavioral shifts, and methodological innovations in dietary assessment. Her 2024-2025 output shows increasing emphasis on environmental sustainability of diets and multi-cancer risk prediction models. She serves on the editorial board of the Spanish Journal of Human Nutrition and Dietetics, contributing to strategic planning (2020-2026) and open science initiatives. Her PhD from Universidad de Granada focused on ICT usage patterns among university students. Current projects include the UniHcos longitudinal study tracking health behaviors in Spanish university students, with particular attention to alcohol use, sleep patterns, and nutritional status. Her research group actively investigates gene-environment interactions in public health contexts.
Paolo Rota is a tenure-track Assistant Professor at the University of Trento, affiliated with the Department of Information Engineering and Computer Science (DISI) and the Center for Mind/Brain Sciences (CIMeC). His research lies at the intersection of computer vision, machine learning, and multimodal AI, with a strong emphasis on vision-language models and activity recognition. His research interests include zero-shot action recognition, temporal action localization, open-world recognition, and person image synthesis. He explores how large multimodal models can be leveraged for practical applications in video analytics and industrial AI, often developing training-free or source-free adaptation methods that improve model generalization. Recent publications show a consistent trend in utilizing large vision-language models (e.g., CLIP, LMMs) for tasks such as image classification, domain adaptation, and action recognition, emphasizing simplicity, zero-shot capabilities, and real-world applicability. His work frequently appears in top venues including CVPR, NeurIPS, ICCV, and ICIAP. He actively mentors PhD students including Benedetta Liberatori, Jiaqi Liu, Yan Shu, Shiyao Xu, and Alessandro Conti, often co-advising with faculty such as Elisa Ricci and Nicu Sebe. He also contributes to teaching, including delivering lectures on machine learning for the MSc in Data Science program. He co-founded Mountain Maps, a startup using AI to enhance outdoor navigation and mountain exploration. His work bridges academic research and practical innovation, aiming to increase the real-world impact of AI systems.
Gonzalo Manzano Paule is a Ramón y Cajal tenure-track researcher at IFISC (Instituto de Física Interdisciplinar y Sistemas Complejos), a joint research institute of CSIC (Consejo Superior de Investigaciones Científicas) and UIB (University of the Balearic Islands), where he has been working since January 2023. He previously held a Juan de la Cierva Incorporation fellowship (2021-2023), was an ESQ Postdoc at IQOQI Vienna (2020-2021), and a Postdoc at ICTP Trieste (2018-2020) funded by Scuola Normale Superiore. He obtained his PhD in Physics from Universidad Complutense de Madrid in July 2017, followed by a short Postdoc at IFISC (2017-2018). His research interests focus on quantum and stochastic thermodynamics, open quantum systems, information theory, and the foundations of nonequilibrium statistical physics and quantum mechanics. He is particularly interested in applying concepts from nonequilibrium thermodynamics to understand classical and quantum complex systems. While his work is primarily theoretical, he actively seeks collaborations with experimentalists. His research has been featured in popular science journals including Physics, Quanta Magazine, and Diario de Mallorca. He has also collaborated with artist Evarist Torres to merge art and science and has written a popular science article for Investigación y Ciencia (Scientific American). Manzano Paule's recent publications demonstrate a strong focus on quantum thermodynamics, fluctuation theorems, and quantum information processing. His work spans theoretical foundations of quantum thermodynamics to applications in quantum heat engines and molecular motors. A notable pattern in his research is the exploration of how quantum effects can enhance thermodynamic processes and the relationship between information theory and thermodynamics. His scientific achievements have been recognized through prestigious fellowships including the Ramón y Cajal program, Juan de la Cierva Incorporation fellowship, and ESQ Postdoc fellowship. His work has also garnered attention in popular science media, indicating its broader impact beyond academic circles. As an educator, Manzano Paule supervises Master's students and teaches advanced courses including Open Quantum Systems for the Master's Degree in Advanced Physics and Applied Mathematics and the Master's Degree in Physics of Complex Systems. His teaching portfolio also includes Quantum Collective Phenomena, Quantum and Nonlinear Optics, Thermodynamics, and Atomic and Molecular Physics. He currently leads the research project 'QTD-InFlexity Quantum thermodynamics: information, fluctuations and complexity' and participates in the 'CoQuSy Complex Quantum Systems' project. He is also part of the María de Maeztu Unit of Excellence at IFISC, which has received continuous funding since 2008.
Jorge Garcia Vidal is a Professor in the Department of Computer Architecture at the School of Computer Science, Universitat Politècnica de Catalunya (UPC). He is a key member of the CNDS - Computer Networks and Distributed Systems research group, with a sustained record of research activity from the late 1980s to the present, including publications projected into 2025. His work bridges theoretical network performance analysis and applied IoT systems, particularly in environmental monitoring. His research interests center on Computer Networks , Internet of Things (IoT) , Sensor Networks , and Data Quality in IoT . He has made significant contributions to ATM network performance, medium access control, and traffic modeling. More recently, his focus has shifted to air quality monitoring using low-cost sensor networks, employing techniques in Graph Signal Processing , Machine Learning , and Anomaly Detection to improve data reliability and estimate pollutants like black carbon. The recent article trends show a strong emphasis on developing data-driven frameworks, virtual sensors, and robust models for environmental IoT platforms. His work integrates advanced signal processing and machine learning to address the challenges of heterogeneous, low-cost sensor data in urban settings. His scientific achievements have been recognized with awards including the Premio Extraordinario de Doctorado and the Premio Mejor Tesis Doctoral . He has advised several doctoral students, including Pau Ferrer-Cid, David Fusté Vilella, Steluta Iordache, and Julian David Morillo Pozo. He is actively involved in numerous competitive and non-competitive R&D projects, such as those related to digital twins, IoT platforms for smart cities, and nature-based urban solutions, often funded by state and regional programs. He collaborates extensively within UPC and with external partners. His research is conducted primarily within the CNDS research group at UPC, a collaborative environment focused on computer networks and distributed systems, with connections to broader initiatives in smart cities and environmental monitoring.
Piotr Przybyła is a tenure-track Assistant Professor at Universitat Pompeu Fabra in Barcelona, Spain, where he researches in the TALN (Natural Language Processing) Research Group. He maintains a significant affiliation with the Linguistic Engineering Group at the Institute of Computer Science, Polish Academy of Sciences (ICS PAS) in Warsaw, Poland, where he completed his PhD in Computer Science. Previously, he worked as a research fellow at the National Centre for Text Mining (NaCTeM) at the University of Manchester. Przybyła's research focuses primarily on Natural Language Processing with particular emphasis on misinformation detection, adversarial attacks on text classifiers, text simplification, and Polish language processing. His work bridges theoretical NLP with practical applications for credibility assessment and language understanding. He has developed innovative approaches for testing the robustness of text classifiers against adversarial examples and has made significant contributions to Polish language resources and processing tools. His recent publications demonstrate a strong trajectory in examining the robustness of NLP systems, particularly in the context of misinformation detection and credibility assessment. His work spans from foundational research on language model behavior to practical applications in Polish language processing and text simplification. The ERINIA project, funded by a prestigious Marie Skłodowska-Curie Postdoctoral Fellowship, represents a significant contribution to understanding how misinformation detection systems can be made more robust against adversarial attacks. Marie Skłodowska-Curie Postdoctoral Fellowship for the ERINIA project Computing grant of 10,000 hours on the Athena supercomputer for accelerating work in the ERINIA project Przybyła actively contributes to the NLP community through conference organization, shared tasks (such as coordinating the InCrediblAE shared task for CheckThat! 2024), and developing open-source tools like Plainifier for multi-word lexical simplification. His work demonstrates a commitment to both advancing NLP research methodology and addressing practical challenges in misinformation detection and language understanding across multiple languages, with special attention to Polish language processing.
Luis Merino Cabañas is a Professor at the Universidad Pablo de Olavide , affiliated with the Deporte e Informática department and leading the SRL Service Robotics Laboratory . His research focuses on robotics, systems engineering, and automation, with a specialization in human-robot interaction and path planning. Education : PhD in Systems Engineering from the Universidad de Sevilla (2007), where his thesis explored cooperative perception techniques for multiple unmanned aerial vehicles in forest fire detection. Research Trends : Recent work (2023–2025) emphasizes 3D path planning, sensor fusion (LiDAR, radar, inertial systems), neural distance fields for safe navigation, and socially aware robotics. His studies integrate AI, genetic programming, and multi-modal perception for applications in construction, healthcare, and GNSS-denied environments. Labs & Teams : He leads the SRL Service Robotics Laboratory , contributing to projects like the Skyeye team and BIM2ROS integration for construction robotics.
Julia Ammerman Yebra is an Assistant Professor at the Department of Common Law within the Faculty of Law at the University of Seville. She holds a Doctorate from the University of Santiago de Compostela (2020) with a thesis titled "The right to one's voice as a right to personality" , supervised by Dra. María Paz García Rubio and Dr. Marta Otero Crespo. Her research focuses on intersections of civil law, family law, data protection, and AI ethics. Key interests include privacy rights in digital contexts (e.g., voice biometrics, metaverse regulation), legal frameworks for emerging technologies (AI/voice assistants), and gender perspectives in legal systems. She has pioneered projects linking legal education with journalism and digital literacy. Her recent work addresses legislative modernization of civil codes, consent mechanisms in digital contracts, and protections for minors' privacy rights (sharenting). She critiques judicial systems' gender biases, particularly regarding maternal rights and family law. Publications span 2025-2012, covering topics like the right to voice in AI contracts, metaverse privacy, and legal responses to pandemics. Her work bridges theoretical legal analysis with practical applications in education and technology governance.
Gagandeep Singh is a tenure-track Assistant Professor in the Department of Computer Science at the University of Illinois at Urbana-Champaign (UIUC). His work focuses on creating intelligent computing systems with formal guarantees about behavior and safety, integrating Machine Learning, Formal Methods, and Systems research. Affiliation: University of Illinois at Urbana-Champaign; VMware Research Research Interests: Formal Methods, Machine Learning, Artificial Intelligence, Programming Languages, Neural Network Verification, Automatic Differentiation His research emphasizes scalable verification techniques for neural networks, abstract interpretation, and systems integration. Recent work trends include applying formal methods to ensure safety in deep learning models and optimizing numerical analysis through domain decomposition and convex hull approximations. He contributes to academic communities as a committee member in conferences like POPL, VMCAI, PLDI, and SAS, while authoring key publications in top venues such as POPL, PLDI, OOPSLA, and SAS.
Jose Miguel Espi Huerta is an Associate Professor in the Department of Electronic Engineering at the School of Engineering, University of Valencia. He is an active researcher in power electronics and control systems, contributing significantly to grid-connected converters, renewable energy integration, and digital control techniques. His research interests include: Power Electronics and Inverter Control Predictive and Robust Control Strategies Renewable Energy Systems (Photovoltaic and Wind) Induction Heating Technologies Remote and Web-Based Educational Labs The analysis of his recent publications reveals a strong focus on improving the efficiency and reliability of grid-connected power converters using advanced control methods such as predictive current control and MPPT strategies. His work spans both industrial applications and academic education, particularly in developing remote laboratory platforms for control systems. Scientific awards and honors: No awards listed in the provided text. He has supervised academic theses and is affiliated with the LEII (Laboratory of Industrial Electronics and Instrumentation) research group. While no formal grants are listed, his extensive publication record indicates sustained research activity. He has contributed to the development of educational tools such as air levitation systems accessible via PLC and web interfaces, promoting innovative teaching methods in engineering education. The LEII research group focuses on industrial electronics, instrumentation, and power systems, providing a collaborative environment for applied research in energy conversion and control technologies.
Raul Sanchez Reillo is a Full Professor at Universidad Carlos III de Madrid (UC3M), affiliated with the Grupo Universitario de Tecnologías de Identificación (GUTI). His research focuses on biometric systems, mobile authentication, and security technologies. Key areas include presentation attack detection, vein recognition, and ECG biometrics. He leads projects involving smartphone-based biometric solutions, 3D printed markers, and standards development for biometric interoperability. Research interests span multiple modalities: fingerprint authentication, dynamic signature verification, gait recognition, and vascular biometrics. He emphasizes usability and accessibility in mobile environments, exploring ergonomics and user interaction challenges. His work integrates machine learning (transformers, RNNs) with hardware solutions like FPGA-based systems. Publications highlight innovations in spoofing detection, medical applications (ECG/vein analysis), and low-cost hardware implementations. He contributes to European standards (BioAPI, Hand Data Interchange Format) and evaluates security practices for R&D compliance with EU data protection regulations. Current initiatives include enhancing biometric systems for critical infrastructure security and improving accessibility for elderly users. Active in interdisciplinary collaborations, he leads the Mobile Pass project evaluating user interaction in biometric systems. His lab (GUTI) develops open testing methodologies for biometric performance under Common Criteria and environmental stressors. Recent work addresses vulnerabilities in mobile fingerprint sensors and the ethical implications of biometric-as-a-service models.
Fernando Gonzalez Candelas is a Professor in the Department of Genetics at the Faculty of Biological Sciences, Universitat de València, Spain. He leads the EVOSALUD research group (Evolution and Health: Experimental evolution and epidemiology), hosted within the Institute for Biological Systems Integration (I2SYSBIO). His work bridges evolutionary biology, genomics, and public health, focusing on microbial pathogens and their transmission dynamics. His research interests lie at the intersection of evolutionary genetics , genomic epidemiology , and infectious disease dynamics . He investigates the genetic basis of virulence, antimicrobial resistance, and host adaptation in pathogens such as SARS-CoV-2, Treponema pallidum , Klebsiella pneumoniae , and Candida auris . His group applies high-throughput sequencing, phylogenetics, and bioinformatics to understand short- and long-term pathogen evolution. The recent publications highlight a strong focus on real-time genomic surveillance of emerging pathogens, particularly during the COVID-19 pandemic. His work spans from technical improvements in sequencing and analysis (e.g., deletion repair, genotyping discrepancies) to large-scale epidemiological inference (e.g., transmission patterns, recombination, resistance evolution). A recurring theme is the use of both modern and ancient genomes to reconstruct the evolutionary history of pathogens. His scientific contributions are recognized through active participation in national and international research consortia such as RELECOV and SeqCOVID-Spain. He has contributed significantly to understanding the first wave of the pandemic in Spain and the evolution of SARS-CoV-2 variants. He earned his PhD from the Universitat de València in 1988 with a thesis on larval competition in Drosophila , indicating a long-standing interest in evolutionary processes. While no formal awards are listed in the provided text, his leadership in high-impact research and sustained publication record suggest significant recognition in his field. Fernando Gonzalez Candelas advises students and leads a research team focused on pathogen genomics. His lab, EVOSALUD, is actively involved in projects related to wastewater monitoring, nosocomial outbreaks, and the development of tools like VIPERA for viral intra-patient evolution analysis. The group’s work has direct implications for public health policy and clinical microbiology.
