Find Academic Supervisors

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
• +5 more

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
• +4 more

Marco Raiola is an Associate Professor at the Department of Aerospace Engineering , Universidad Carlos III de Madrid (UC3M). His research focuses on fluid dynamics, turbulence, and aerodynamics, with applications in flow diagnostics, heat transfer, and control systems. Research Interests: Turbulent flows, data-driven modeling, particle image velocimetry (PIV), convective heat transfer, and bio-inspired aerodynamics. Projects: Principal researcher in INFLUENTIA-CM-UC3M (2024-2026) and Diagnóstico del ruido de chorro (2022-2025). Collaborator in EU-funded initiatives like HumanIC and ODE4HERA . Contact: Email mraiola@ing.uc3m.es | ORCID: 0000-0003-2744-6347

• Aeronautics
• Mechanical Engineering
• Fluid Dynamics
• +5 more

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
• +7 more

Dr. Anna Maria Mandalari is an Assistant Professor at University College London (UCL), affiliated with the Electronic and Electrical Engineering Department. She serves as Director of the SafeNetIoT laboratory and the Internet Engineering/Telecommunications MSc/MRes Programme at UCL. She holds an Honorary Research Fellow position at the Institute for Security Science and Technology at Imperial College London. Her research focuses on IoT security, privacy engineering, and network measurement techniques, particularly analyzing information exposure from consumer devices and developing adaptive network security strategies. Her work has led to significant contributions such as the IMC'19 Community Contribution Award-winning study on multidimensional IoT device exposure and the Telekom Challenge-winning IoTrim prototype for blocking non-essential IoT traffic. She has secured funding through InnovateUK’s CyberASAP program and participated in high-impact projects like NATwatcher and the European roaming analysis initiative. Key Awards: Community Contribution Award (IMC'19), Best Paper Award (C2B(I)D 2015) Grants: InnovateUK CyberASAP Phase 2 funding, Telekom Challenge Development Stream Top 5 prize Labs/Teams: Director of SafeNetIoT Lab, Leading M2M and IoT security teams at UCL Her recent work addresses IoT device misactivation risks (e.g., smart speakers), scalable detection of IoT devices in the wild, and protocol design informed by crowdsourced data. She actively collaborates with industry partners like Telekom and academic institutions on network infrastructure security and performance optimization.

• IoT Security
• Network Measurement
• Privacy Engineering
• +3 more

Pallavi Dhagat is a Professor in the School of Electrical Engineering and Computer Science at Oregon State University , USA. She is an internationally recognized leader in magnetics research and has held numerous influential roles within the IEEE Magnetics Society , including President (2019–2020), Past-President (2020–2022), and currently serves as Associate Editor of IEEE Magnetics Letters . Her research spans four major thrusts: (1) 3-D printed magnetic materials and devices , where advanced additive manufacturing techniques are employed to create complex magnetic geometries; (2) biomedical imaging and sensing leveraging functionalized magnetic nanoparticles for high-resolution diagnostics and targeted therapy; (3) data storage and signal processing exploiting the interaction of acoustic and spin waves to develop ultra-low-power memory and logic architectures; and (4) advanced metrology for characterizing next-generation magnetic materials with unprecedented precision. In recognition of her sustained service, she received the IEEE Magnetics Society Distinguished Service Award in 2022 . She has also chaired the global Conference on Magnetism and Magnetic Materials (MMM) and currently leads the society’s Women in Magnetism initiative. Grants & Advising: While specific grant numbers and student rosters are not provided, her continuous editorial board memberships and society leadership positions indicate active funding and robust graduate-student mentoring. Laboratory & Teams: Professor Dhagat heads an active research group within Oregon State University’s School of Electrical Engineering and Computer Science, where interdisciplinary teams work at the intersection of materials science, biomedical engineering, and spintronics.

• 3D printed magnetic materials and devices
• Biomedical imaging and sensing using magnetic nanoparticles
• Novel data storage and signal processing devices based on interactions between acoustic waves and spin waves
• +1 more

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
• +3 more

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
• +4 more

Pere Millán Marco is an Associate Professor in the Department of Computer Engineering and Mathematics (DEIM) at Universitat Rovira i Virgili (URV), Tarragona, Spain. He serves as coordinator for Non-permanent lecturers. His research focuses on computer communications, mobile/sensor networks, and IoT, with emphasis on quality prediction and performance optimization in wireless environments. Education: M.Sc. in Computer Engineering (Polytechnic University of Catalonia, 1992); PhD in Computer Engineering (URV, 2018). Research Interests : Specializes in mobile and sensor network architectures, underwater acoustic networks, real-time communication protocols, and low-cost hardware solutions for educational and environmental applications. His work integrates time series analysis, predictive modeling, and social behavior patterns to enhance network efficiency. Publications Trends : Recent work emphasizes IoT applications in environmental monitoring (e.g., deep aquifer pumping systems), optimization of underwater acoustic networks, and low-cost multicomputer systems for teaching. Consistently explores predictive techniques for network topology and quality-of-service improvements in ad hoc and community networks. Awards & Recognition : Holds a granted US patent related to location-based information systems. Advising & Infrastructure : Involved in DEIM's teaching laboratory development. Active in organizing international conferences like UCAmI and VISIGRAPP. Member of the CloudLab research group, advancing cloud and distributed computing solutions.

• Computer Communications
• Mobile and Sensor Networks
• Internet of Things
• +3 more

Carlos Cilleruelo Rodríguez is an Associate Professor in the Department of Computer Science at Universidad de Alcalá. He is affiliated with the TIFyC research group ("Information Technologies for Training and Knowledge") and specializes in cybersecurity, healthcare IT security, and authentication systems. His research focuses on dark web analysis, malware detection, and adaptive security frameworks. He earned his Doctorate from Universidad de Alcalá in 2023 with the thesis "A cybersecurity review of healthcare industry 2023" , supervised by Dr. José Javier Martínez Herráiz and Dr. Luis de Marcos Ortega. His work spans ransomware mitigation in manufacturing, continuous authentication architectures (JBCA), and privacy issues in IoT healthcare devices. Recent projects include the ProTego initiative for mobile authentication in eHealth environments. Publications highlight trends in machine learning for behavioral authentication, darknet interconnections, and security in Bring-Your-Own-Device (BYOD) healthcare settings. No scientific awards explicitly mentioned. Labs/teams: Active contributor to the TIFyC group, focusing on cybersecurity education and applied research in critical infrastructure protection.

• Cybersecurity
• Healthcare IT Security
• Machine Learning
• +4 more

Cristina Borda Fortuny is an Assistant Professor at the La Salle Digital Engineering School under the Engineering Department at Universitat Ramon Llull. She actively contributes to the Research Group on Smart Society and collaborates with the GRITS (Grup de Recerca en Internet Technologies & Storage) project. Research Focus: Antenna Engineering, Reconfigurable RF Systems, Sensor Networks Collaborative Projects: 2017–2021 AGAUR-funded GRITS; 2022–2025 Smart Society Group Key Research Contributions: Development of low-cost, frequency-agile fluidic antennas, novel liquid switch mechanisms for Vivaldi antennas, and distributed acoustic sensor networks for urban monitoring. Her work intersects antenna design , cognitive radio , and smart infrastructure , with significant citations in Open Access publications. Technical Expertise: Fluidic antenna systems, reconfigurable operating frequencies, microwave propagation, and real-time sensor network deployment. Collaborations include researchers like K. Tong , K. Chetty , and K. Wong .

• Antenna Engineering
• Radio Frequency Systems
• Reconfigurable Antennas
• +4 more

Dr. Daniel Pizarro Pérez is a Professor in the Department of Electronics at the University of Alcalá, Spain. He is a member of the GEINTRA research group, which focuses on Electronic Engineering applied to Intelligent Spaces and Transport. He holds a doctoral degree from the University of Alcalá, completing his thesis on 'Localización de robots móviles en espacios inteligentes utilizando cámaras externas y marcas naturales' (2008), supervised by Dr. Manuel Ramón Mazo Quintas and Dr. Enrique Santiso Gómez. His research interests span computer vision, medical imaging, smart grid technologies, acoustic signal processing, and control systems. Notable projects include augmented reality applications in laparoscopic surgery, non-intrusive load monitoring using smart meters, and advanced control methodologies for power electronics. His work bridges theoretical advancements with practical applications in healthcare, energy systems, and robotics. Recent publications highlight contributions to neural radiance fields for minimally-invasive surgery, distributed acoustic sensing in submarine environments, and deep learning-based activity recognition via energy consumption. His research frequently integrates interdisciplinary approaches, such as combining computer vision with medical robotics and leveraging machine learning for real-time control systems. Dr. Pizarro’s work has been supported by grants and collaborations within the GEINTRA group, with applications in intelligent spaces, robotic navigation, and sensor fusion. He has also contributed to educational initiatives like the GEMS Erasmus+ project, emphasizing sensory module development for robotics education.

• Computer Vision
• Medical Imaging
• Smart Grids
• +3 more

Antonio Rodríguez-Ferran is a Professor at the School of Civil and Environmental Engineering at the Universitat Politècnica de Catalunya (UPC) in Barcelona, Spain. His research focuses on computational fracture mechanics, acoustics and vibration modeling, cell mechanics, and advanced numerical methods in applied sciences. He holds a B.Sc., M.Sc., and Ph.D. in Civil Engineering from UPC, completing his doctorate in 1996. His work emphasizes phase-field modeling for fracture propagation in layered and composite materials, with contributions to the shifted fracture method and adaptive numerical techniques. He also explores vibroacoustic systems, granular materials, and structural acoustics. Notable projects include modeling human towers (Castells) and cellular mechanics in biological systems. Research highlights include advancements in fracture mechanics using phase-field approaches, numerical methods for interface and material mismatch analysis, and interdisciplinary applications in engineering and biology. His work bridges computational methods with real-world industrial applications, such as bulk material characterization and structural noise reduction. Collaborations span academia and industry, with a focus on advancing computational tools for engineering challenges. Current open positions include MSc thesis topics in computational engineering and granular material modeling.

• Computational Fracture Mechanics
• Acoustics and Vibrations Modelling
• Cell Mechanics
• +3 more

Rafael Martinez Olall is a Professor at the Department of Computer Systems Architecture and Technology, Universidad Politécnica de Madrid (UPM). His research intersects disciplines such as Computer Science, Artificial Intelligence, Neurosciences, and Acoustics, with a focus on applications in Signal and Image Processing, Cognitive Neuroscience, and Audiology & Speech-Language Pathology. Member of the Computer Science Applied to Signal and Image Processing Research Group since 2005-06-14 Member of the Center for Biomedical Technology (CTB) since 2011-09-27 Member of the Technology and Digital Learning Innovation Group since 2025-03-05 His work spans areas like Behavioral Neuroscience and Computer Science Applications, though specific publications or awards are not detailed in the provided text.

• Acoustics
• Neurosciences
• Computer Science
• +4 more

Oriol Guasch Fortuny is Full Professor at the Department of Engineering, La Salle, Ramon Llull University in Barcelona, specializing in computational acoustics and aeroacoustics. He holds a five-year Physics degree from Universitat de Barcelona and a PhD in Computational Mechanics from UPC. His research spans acoustic black holes , graph theory in vibroacoustics, parametric array technology , and numerical voice production . Current projects: GENIOVOX (expressive voice generation), EUNISON (voice simulation) Editorial roles: Subject Editor , Journal of Sound and Vibration Leadership: Heads acoustics research in the GTM group His 15 most recent publications focus on acoustic black hole applications in vibration control, parametric loudspeaker optimization , and chaotic vocal fold modeling . Work combines finite element analysis with theoretical acoustics . Collaborations include: CIMNE (UPC, Barcelona) GIPSA-LAB (Grenoble, France) INSA Lyon (France) Northwestern Polytechnical University (Xi’an, China) KTH Stockholm (Sweden) Patents: NºU-201230809: Horn amplifier for parametric arrays Nº201230043: Omnidirectional ultrasonic sound source

• Computational Acoustics
• Aeroacoustics
• Graph Theory in Vibroacoustics
• +3 more