جستجوی استاد راهنمای دانشگاهی

Xavier Serra is a Full Professor at the Department of Engineering at Universitat Pompeu Fabra (UPF), Barcelona. He is the founder and director of the Music Technology Group (MTG), and leads the UPF-BMAT Chair on AI and Music. He also coordinates the Master in Sound and Music Computing and serves as President of the Phonos Foundation. His research focuses on audio signal processing, sound and music computing, and computational musicology, emphasizing open science and open innovation. Education: BSc in Biology, University of Barcelona (1981) Master in Music, Florida State University (1983) PhD in Computer Music, Stanford University (1989) Research Interests: Audio Signal Processing Data-Driven and Knowledge-Driven Methodologies Music Information Retrieval Cultural Music Analysis (e.g., Carnatic/Turkish/Andalusian Music) Music Education Technology Notable Projects: CompMusic (ERC Advanced Grant, 2010-2017): Multicultural computational music analysis Open datasets: Freesound, Saraga, FSD50K Technologies: Reactable, Vocaloid, Essentia API Recent Trends in Articles: Focus on AI-driven audio processing (neural fingerprints, generative models), cross-cultural music analysis, and explainable music difficulty estimation. Awards: ERC Advanced Grant (2010) for CompMusic Project. Labs/Teams: Director of MTG, Phonos Foundation, and UPF-BMAT Chair. Active in open-source projects and international collaborations.

• Audio Signal Processing
• Sound and Music Computing
• Music Information Retrieval
• +۵ مورد دیگر

Prof. Raimon Jané Campos is a leading figure in biomedical signal processing at the Universitat Politècnica de Catalunya (UPC) and Universitat de Barcelona (UB). As co-director of UPC's Biomedical Signal and System Group (CREB) and coordinator of the Biomedical Engineering PhD Programme, he bridges engineering and clinical applications. His work focuses on respiratory and sleep disorder diagnostics, with significant contributions to COPD and sleep apnea monitoring through wearable devices and machine learning. PhD in Biomedical Engineering (UPC, 1989) Visiting researcher at Université de Nice-Sophia Antipolis Vice-president of Spanish Society of Biomedical Engineering Research spans respiratory mechanics , sleep-disordered breathing , acoustic biomarkers , bioimpedance , and machine learning in biomedical contexts . His 2025 work on microcalorimetric pathogen classification and 2024 spiking neural networks for apnea detection demonstrate cutting-edge integration of computational methods with physiological monitoring. Articles from 2017-2024 reveal consistent focus on non-invasive diagnostics , cardiorespiratory synchronization , and smartphone-based health solutions . Awarded the Barcelona City Technology Research Award (2005) and serving on the International Advisory Board for Physiological Measurement since 2010, his career combines academic leadership with real-world clinical translation through IBEC's technology transfer initiatives.

• Biomedical Signal Processing
• Respiratory Monitoring
• Sleep Disorders
• +۴ مورد دیگر

Dr. Silvia Martínez Martínez is a Researcher in the Department of Philology and Translation at the University of Granada, specializing in German Philology with a PhD completed in 2015. Her academic work centers on accessibility in audiovisual translation, particularly subtitling for the deaf and hard of hearing (SpS), and audio description across multilingual contexts. Her research interests include: Audiovisual Translation Accessibility for Deaf and Hard of Hearing Subtitling for the Deaf Translation Technology German-Spanish Translation Audio Description Terminology Analysis of her 15 most recent publications (2022-2025) reveals dominant trends in AI-driven accessibility solutions, cross-linguistic corpus studies (German/Spanish/English), and innovative pedagogical applications. Key thematic clusters include sound translation in streaming/VOD platforms, gamification in STEM education, vitivinicultural terminology, and cultural adaptation in music translation, demonstrating her interdisciplinary approach spanning translation technology, medical accessibility, and sociological studies. She has received the Premio Francisco Ayala (2012) for her contributions to translation studies, recognizing her work on accessibility frameworks and specialized translation methodologies. Dr. Martínez Martínez actively contributes to educational innovation through projects like DESAM (accessible museum resources) and OPERA (cultural accessibility), while her supervision of PhD candidates and development of didactic tools for audio description training underscore her commitment to advancing inclusive translation practices in academic and professional settings.

• Audiovisual Translation
• Accessibility for Deaf and Hard of Hearing
• Subtitling for the Deaf
• +۴ مورد دیگر

Luis Antonio Azpicueta Ruiz is an Associate Professor in the Department of Signal Theory and Communications at Carlos III University of Madrid. He leads research in the Signal Processing and Learning Group (GTSA) and Machine Learning for Data Science (ML4DS) group, focusing on interdisciplinary applications spanning acoustics, telecommunications, and machine learning. Research Interests: His work bridges signal processing theory with practical applications in environmental acoustics, adaptive filtering systems, and machine learning. Key research themes include: Advanced adaptive filtering architectures for nonlinear systems Distributed estimation in sensor networks Acoustic echo cancellation and room equalization Psychoacoustic evaluation methods Machine learning applications in noise monitoring and sound analysis Research Projects: Principal investigator for multiple funded projects including: Diagnóstico del ruido de chorro en aeronaves (AEI, 2022-2025) LearnINg FLow and Noise Dynamics via AI (COMUNIDAD DE MADRID, 2024-2026) BODYinTRANSIT - Sensory-driven Body Transformation (EUROPEAN COMMISSION, 2022-2026) Aprendizaje Automático para análisis Big Data (MINISTERIO DE ECONOMÍA, 2018-2021)

• Signal Processing
• Machine Learning
• Acoustics
• +۷ مورد دیگر

Pablo Calleja is a Research Fellow at the Faculty of Computer Science, Polytechnic University of Madrid (UPM), where he has been a member of the Ontology Engineering Group (OEG) since March 2014. His research focuses on Natural Language Processing (NLP), medical terminology mapping, and legal domain applications. He holds a degree in Computer Engineering from San Pablo CEU University (2013) and has prior industry experience as a software developer at IECISA (2008–2011) and a collaboration grant at the Open Access Classroom, San Pablo CEU University (2011–2013). Key contributions include projects like Drugs4covid for pandemic drug discovery, TermitUp for terminological enrichment, and esT5s , a Spanish text summarization model. His work spans legal knowledge graphs, multilingual compliance systems, and NER techniques for academic content analysis. He has also explored accessibility multimedia services and semantic graph applications in tourism ( DBtravel ). Professional roles include collaboration grants at UPM and active participation in interdisciplinary projects such as SNOMED-CT annotation for medical technical sheets. Research trends emphasize cross-domain adaptation (e.g., K-Flares), data augmentation (Widaug), and multilingual NLP solutions. Advising and grants: His current position is supported by a collaboration grant at OEG. Earlier grants include work at San Pablo CEU University. No formal advisees are listed, but he contributes to collaborative research teams. Labs and teams: Core member of the Ontology Engineering Group (OEG), focusing on knowledge representation, NLP, and applied informatics in healthcare and law domains.

• Natural Language Processing
• Medical Informatics
• Legal Informatics
• +۵ مورد دیگر

Antonio Salvador Pena Gimenez is a full-time researcher at the Universidade de Vigo , affiliated with the School of Telecommunications Engineering and the Department of Signal Theory and Communications . He holds a PhD from the Polytechnic University of Madrid (1995) for his work on Psychoacoustic modeling techniques applied to very high quality audio coding , supervised by Dr. Luis Alfonso Hernández Gómez. Education: PhD in Signal Theory and Communications (Polytechnic University of Madrid, 1995) University Degree in Full-Time Mode His research spans signal processing , biomedical engineering , and audio signal analysis , with a focus on medical applications (e.g., ECG processing) and music information retrieval (e.g., beat tracking, onset detection). He has contributed to non-invasive vital sign monitoring and data compression techniques in audio and biomedical contexts. The 15 most recent articles (prioritized by year) highlight his work in polyphonic music analysis , rhythmic structure modeling , and medical signal compression . Key trends include machine learning for audio processing , biomedical signal analysis , and algorithm development for telemedicine . He has collaborated with institutions including Instituto Politécnico de Setúbal , Instituto de Telecomunicações , and University of Cambridge . His work has been cited 567 times, with an h-index of 9. He is involved in underwater acoustic databases (e.g., ShipsEar) and smartphone-based telecare systems , indicating ongoing work in sensor networks and mobile health applications .

• Signal Processing
• Biomedical Engineering
• Audio Signal Processing
• +۳ مورد دیگر

David Santos Dominguez is a Doctoral Research Personnel in GROUP I at the University of Vigo, affiliated with the School of Telecommunications Engineering and the Department of Signal Theory and Communications. His work focuses on underwater acoustics, marine noise pollution, and environmental monitoring. Education: PhD in Signal Theory and Communications (University of Vigo, 2020) Email: dsantos@gts.uvigo.es His research explores underwater noise mapping methodologies, ship noise impacts on marine organisms, and hydrophone signal processing. Recent work analyzes dredger noise propagation and marine vessel acoustic databases, with interdisciplinary implications for Marine Biology , Environmental Engineering , and Signal Processing . Publications show consistent focus on Shallow Water Acoustics , Hydroacoustics , and Marine Environmental Assessment , often combining experimental measurements with computational modeling. Despite no listed awards, his collaborations span marine conservation and engineering disciplines.

• Underwater Acoustics
• Marine Noise Pollution
• Signal Processing
• +۴ مورد دیگر

Francisco Javier Oliver Bernal is a Lecturer at the University of Deusto in Bilbao, Spain, within the Faculty of Education and Sport and the Department of Physical Activity and Sports Sciences. He teaches across Computer Engineering, Physical Activity and Sports Sciences, and Primary Education bachelor's programs, as well as the Master's in Secondary Education. He earned his Doctor of Medicine and Surgery from the University of the Basque Country. His research spans Human-Computer Interaction, Educational Technology, and Science Education, with a strong emphasis on accessibility for visually impaired users. He has developed tools for e-learning, digital resource centers, and innovative teaching methodologies in computer science and natural sciences, aiming to enhance educational experiences through technology. His scholarly output, spanning from the 1990s to 2023, demonstrates a consistent focus on technology-enhanced learning, evolving from early work in 3D interfaces and computer graphics to recent applications in health, music, and interdisciplinary educational contexts. Key trends include the integration of accessibility features, the development of domain-specific educational tools (e.g., for biology and astronomy), and responses to contemporary challenges like the COVID-19 pandemic. He has supervised multiple theses on digital accessibility and cooperative systems, though student names were not listed. Details on research grants were not provided in the available text. As a member of the eVida research group (officially recognized by the Basque Government), he contributes to projects advancing accessible educational technologies, including the ACCE project for audiovisual accessibility and READIS digital resource centers for visually impaired users.

• Human-Computer Interaction
• Educational Technology
• Computer Science Education
• +۳ مورد دیگر

Antonio Calomarde Palomino is an Associate Professor at the Department of Electronic Engineering, Polytechnic University of Catalonia (UPC), located at the Higher Technical School of Industrial Engineering of Barcelona. He holds a B.S. in Telecommunications Engineering (UPC, 1986), an M.S. in Electronic Engineering (Universitat Autònoma de Barcelona, 1993), and a Ph.D. in Electronic Engineering (UPC, 2007) with honors. His research focuses on low-power/high-performance digital circuits and soft-error resilient designs, addressing challenges in semiconductor technology and radiation-hardened electronics. Key research areas include FinFET-based memory cells, RRAM modeling, and radiation mitigation strategies for advanced nanoelectronics. He contributes to the High Performance Integrated Circuits and Systems Design (HIPICS) Group, advancing circuit design methodologies and educational initiatives such as integrating autonomous vehicle systems into undergraduate curricula. His work bridges theoretical advancements with practical applications in automotive electronics and embedded systems. Publications span topics from memristor-based associative memory to approximation techniques in object detection systems, reflecting a balance between fundamental research and applied engineering. His recent work emphasizes variability-aware design and energy-efficient architectures, as seen in 2023-2024 studies on RRAM models and automotive case studies. Calomarde actively organizes academic events like the 2022 ETS conference and develops educational materials for digital electronics and audiovisual systems courses. His contributions to both technical research and pedagogical innovation solidify his role as a key figure in electronic engineering education and innovation.

• Low Power Digital Circuits
• Soft Error Resilient Circuits
• Integrated Circuit Design
• +۴ مورد دیگر

Teresa Olivares Montes is a faculty member at the University of Castilla-La Mancha, where she serves as a Profesor Contratado Doctor in the Department of Systems Informatics. She has been actively contributing to research and education since completing her PhD in Computer Engineering at the same institution. Her academic career includes international research experiences in Hong Kong, Ireland, and the UK, reflecting a strong global engagement. PhD in Computer Engineering, University of Castilla-La Mancha (2003–present) Licentiate in Computer Science, University of Granada Diploma in Computer Science, University of Granada Her research focuses on Internet of Things (IoT), low-power wireless communication protocols, energy-efficient networking, and smart systems for applications in healthcare, agriculture, education, and Industry 4.0. She has published extensively in high-impact journals such as IEEE Transactions on Instrumentation and Measurement, IEEE Internet of Things Journal, and Computer Networks. Her recent work emphasizes practical, low-cost IoT solutions for environmental monitoring (e.g., glyphosate detection, agrochemical drift) and digital twin development for smart campuses. The analysis of her recent publications (2020–2025) reveals a consistent trend toward applied IoT systems integrating sensor networks, machine learning, and human-centered design. Her work spans domains including public health (MosquIoT), environmental protection (DriftGLY, SpectroGLY), smart education (WIoTED), and industrial efficiency (OperaBLE). These projects demonstrate a strong interdisciplinary approach, combining computer science fundamentals with real-world societal and industrial challenges. No formal scientific awards are listed in the provided text. Teresa Olivares Montes has contributed to academic service, notably as a member of the Equality Commission at her department since 2017. While no specific grants are detailed beyond a 1996 training contract, her sustained publication record suggests ongoing research funding. She collaborates with a broad network of researchers across Spain and internationally. She has also contributed to educational initiatives, including mentoring program coordination across multiple degrees. She is involved in several research initiatives related to smart environments, including smart homes, smart campuses, and smart worker systems. Her lab or team likely focuses on IoT protocol design, wireless sensor networks, and embedded systems for sustainable and socially responsible applications.

• Internet of Things
• Low Power Wide Area Networks
• Wireless Sensor Networks
• +۷ مورد دیگر

Adrian Hilton is a Professor of AI and Computer Vision at the University of Surrey, UK. He serves as the Founding Director of the Surrey Institute for People-Centred AI and Director of the Centre for Vision, Speech and Signal Processing. His research focuses on advanced fields such as 4D Vision, Computer Graphics, and AI-driven Digital Doubles. He holds prestigious fellowships including Fellow of the Royal Academy of Engineering, IET Fellow, and IAPR Fellow. His work spans interdisciplinary areas like Virtual/Augmented Reality, Light Fields, and Audio-Visual Signal Processing. No specific grants, students, or recent publications are detailed in the provided text, but his leadership roles highlight significant contributions to AI and computer vision research.

• Computer Vision
• Machine Learning
• 4D Vision
• +۹ مورد دیگر

Manuel Rosa Zurera is a Full Professor at the Universidad de Alcalá, specializing in Signal Theory and Communications. He leads the AES3 research group focused on Acoustic and Electromagnetic Smart Sensor Networks and Signal Processing. His research emphasizes machine learning applications in audio analysis, biomedical signal processing, and passive radar systems. Dr. Rosa holds a PhD from Universidad de Alcalá (1999), supervised by Francisco López Ferreras. Research Interests : Dr. Rosa’s work spans acoustic signal localization, UAV detection, emotion recognition via speech analysis, and evolutionary studies of hominin auditory systems. His innovations include robust detection algorithms for passive radar, energy-efficient anger detection systems, and age/gender classification from speech using neural networks. He has pioneered acoustic sensor networks for urban security and biomedical diagnostics. Key Contributions : Over 150 peer-reviewed articles since 1999 demonstrate his expertise in signal processing for aerospace flutter analysis, real-time violence detection in smart cities, and 3D reconstruction of Neanderthal auditory capacities. His work bridges theoretical signal processing with practical applications in healthcare, surveillance, and evolutionary anthropology. Labs/Teams : Directs the AES3 group and collaborates on EU-funded projects like DVB-T radar systems and acoustic drone detection initiatives. Active in designing microphone arrays for hearing aids and wireless sensor networks.

• Signal Processing
• Machine Learning
• Acoustic Engineering
• +۵ مورد دیگر

Auxiliadora Sarmiento Vega is a full professor at the University of Seville 's School of Engineering within the Department of Signal Theory and Communications . With over two decades of research experience, her work bridges audio signal processing and biomedical applications, focusing on blind source separation, entropy-based methods, and machine learning for healthcare diagnostics. Research Pillars : Audio source separation, biomedical signal/image analysis, and virtual reality integration Key Projects : ACACIA (Signal Analysis), NEUBIAS (Bioimage Analysts Network), and multiple NIH-funded biomedical imaging initiatives Academic Contributions span 15+ years, with groundbreaking work in: Alpha-Beta divergence clustering algorithms EEG processing for motor imagery BCI systems Automated breast cancer grading from histological images Glaucoma and diabetic retinopathy diagnostics via retinal image analysis Virtual reality platforms for emotion analysis research She actively collaborates with institutions like the IEEE Women in Engineering (Spanish section secretary) and NEUBIAS network , while mentoring through outreach programs like g4g Day that empower young women in STEM.

• Audio Source Separation
• Biomedical Signal Processing
• Machine Learning
• +۵ مورد دیگر

Félix Jesús García Clemente is a Full Professor in the Department of Computer Architecture and Technology at the University of Murcia's Faculty of Computer Science. He is a member of the Mobile Computing and Computer Vision Research Group and serves as Project Manager at CyberDataLab and Director of the University Chair in Smart Industry. His work spans cybersecurity, AI, Industry 4.0, and educational technology, with over 100 publications and active involvement in national and international R&D projects. Education: PhD in Computer Science from the University of Murcia (2006), supervised by Dr. Gregorio Martínez Pérez and Dr. Antonio Skarmeta Gómez. Research Interests: Cybersecurity (including anomaly detection and threat mitigation), AI applications in education and industry, Industry 4.0 technologies, and game-based assessment systems. His work integrates machine learning, IoT, and fog computing for real-world applications such as smart farming and industrial automation. Recent Research Trends: A focus on cybersecurity in edge/fog environments, AI-driven educational tools, and interdisciplinary projects like MeloDI for crop quality assessment. Collaborations include EPFL (Switzerland), NTU (Singapore), and Stanford University. Awards: None explicitly listed, though his extensive R&D leadership and numerous funded projects reflect significant recognition. Grants & Projects: ROBUST-6G (EU Horizon): Secure 6G platform development EU-GUARDIAN (EU Defense): Cyber defense automation REACTMAN5.0 (Spain): Cybersecurity in Industry 5.0 CDL-TALENTUM (INCIBE): Cybersecurity professional development Labs & Teams: Leads the Mobile Computing and Computer Vision Research Group, collaborates with Bleecker and Scorpion Cybertechnologies, and oversees the University Chair in Smart Industry.

• Cybersecurity
• Artificial Intelligence
• Industry 4.0
• +۳ مورد دیگر

Roberto Rodriguez-Echeverria is an Associate Professor at the Computer Languages and Systems Department of the Universidad de Extremadura (Spain). He leads the Applied Informatic Technology Institute and co-founded MetrikaMedia, a SaaS company for multimedia content measurement. His research focuses on software engineering, model-driven engineering, machine learning, and legacy system modernization. Education: Bachelor and Master in Computer Science (2000), Universidad de Extremadura Master on Education and IT (2012), Universitat Oberta de Catalunya PhD in Computer Science (2014), Universidad de Extremadura Research interests include data-driven software development, medical image segmentation using SAM models, and educational technology applications like chatbot performance analysis in exams. He explores reproducible data science workflows and hybrid recommendation systems for media. Recent work highlights include advancing loss function analysis for COVID-19 lung scans and developing cost-efficient medical image segmentation techniques leveraging SAM's zero-shot capabilities. He also studies the impact of AI tools like ChatGPT on academic assessment methods. His contributions span over 50 publications since 2004, with recent focus on smart city applications, cloud cost estimation, and cooperative social process modeling. Rodriguez-Echeverria's work bridges theoretical computer science with practical industry solutions through his lab's applied research initiatives. Labs/Teams: Applied Informatic Technology Institute (Director) i3 Lab (Affiliated)

• Software Engineering
• Model-Driven Engineering
• Machine Learning
• +۵ مورد دیگر