Find Academic Supervisors

• Electronics Engineering
• Analog Circuit Design
• Biomedical Sensors
• +3 more

Susana Paton Alvarez is an Associate Professor at the Department of Electronic Technology within the College of Engineering at the Universidad Carlos III de Madrid. She is affiliated with the Microelectronic Design and Applications (DMA) research group and the University Institute on Gender Studies . Her contact information includes email addresses susana.paton@uc3m.es and spaton@ing.uc3m.es , and her office is located at 1.2.C06 - Agustin De Betancourt in Leganés. Her research focuses on analog and mixed-signal circuit design , with a particular emphasis on capacitance-to-digital converters , voltage-controlled oscillators (VCO) , and biomedical sensors . Recent work includes advancements in time-encoded sensors for physiological monitoring and noise analysis in multi-bit SigmaDelta modulators. She also explores applications in flexible electronics and edge computing for biosignal acquisition. Notable publications include contributions to IEEE Sensors Letters , IEEE Transactions on Circuits and Systems II , and IEEE Sensors Journal , reflecting her expertise in microelectronic design and biomedical engineering. Her research often bridges theoretical circuit analysis with practical implementations in nanometer CMOS technologies. Dr. Paton Alvarez actively participates in collaborative projects and conferences, such as Modularos and Short Range Wireless Front-Ends initiatives. While no scientific awards are explicitly listed, her publications highlight sustained contributions to the field of analog and biomedical circuit design. Her academic roles include teaching Computer Science and Electronics subjects. She is involved in the University Institute on Gender Studies , indicating an interest in interdisciplinary research or outreach in gender-related academic issues.

• Internet of Things
• Transport Protocol
• Cybersecurity
• +8 more

Alan Briones Delgado is a researcher at the La Salle School of Engineering , Universitat Ramon Llull , with a focus on Internet of Things , Cybersecurity , and Transport Protocols . His work spans projects funded by the European Commission and national grants, including EXCEL4HOUSING4.0 , WeB-Nimbus , and NG-SOC , addressing challenges in cloud computing education, ecological monitoring, and security operations. His research integrates Artificial Intelligence and Wireless Sensor Networks for sustainable solutions. Key research areas include Quality of Service in heterogeneous networks, Environmental Conservation via IoT, and Teaching and Learning strategies for Big Data. Projects like EcoSentinel and BTL-COP highlight his commitment to Environmental Monitoring and Community Policing applications. His collaborations extend to institutions in the UK , Albania , and Western Balkans . Contact: alan.briones@salle.url.edu

• Computer Networks
• Internet of Things (IoT)
• Sensor Networks
• +7 more

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.

• Quantum Optics
• Photonics
• Nanotechnology
• +3 more

Prof. Valerio Pruneri is an ICREA Professor and Group Leader at the Institute of Photonic Sciences (ICFO), holding the Corning Inc. Chair in Optoelectronics. He leads a research group focused on quantum optics, nanophotonics, and biomedical imaging. His academic background includes a PhD in Laser Physics from the University of Southampton (UK). Research interests span quantum communication technologies, plasmonic sensors, and nanomaterials for optical applications. Recent advancements include work on quantum key distribution systems, graphene-based devices, and super-sensitive phase imaging techniques. Articles highlight innovations in quantum-enhanced imaging, integrated photonic circuits, and hyperbolic metamaterials. His team collaborates on EU projects like NANO-GLASS ITN and FLIGHT, with a strong emphasis on translational research. Over 50 students and researchers are advised, many funded by national and international grants (e.g., Agencia Estatal de Investigación, CELLEX Foundation). Key lab facilities include state-of-the-art cleanrooms and optical characterization tools.

• Space Systems Engineering
• Computer Architecture
• Embedded Systems
• +5 more

Pablo Parra Espada is an Associate Professor at the Department of Automática, University of Alcalá (Spain), affiliated with the Space Research Group (SRG-UAH). He holds a PhD from the University of Alcalá (2012) titled Integración de tecnologías de desarrollo y análisis basadas en componentes bajo un enfoque multi-plataforma , supervised by Dr. Sebastián Sánchez Prieto and Dr. Óscar Rodríguez Polo. His research focuses on space systems engineering , particularly in RISC-V processor design , embedded systems , and model-driven engineering . Key areas include hardware-software co-design for satellite systems, real-time computing, and fault-tolerant architectures. He has contributed to the Solar Orbiter mission through work on the Energetic Particle Detector (EPD) and its on-board software validation. His recent work emphasizes virtualization techniques for LEON processors, FPGA-based digital beamforming , and spaceborne phased array systems . He also explores model-driven approaches for automated configuration of ground support equipment. His interdisciplinary contributions bridge computer architecture with aerospace applications. Prof. Parra Espada has published extensively on topics such as hardware performance monitoring, memory management units for satellites, and system-level verification of space software. His work combines rigorous engineering methodologies with cutting-edge technologies to address challenges in space instrumentation and embedded systems.

• Power Electronics
• Control Systems
• Renewable Energy Conversion
• +7 more

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.

Julian FierrezView profile

Professor

• Biometrics
• Signal and Image Processing
• Artificial Intelligence
• +6 more

Julian Fierrez is a Full Professor at the School of Engineering, Universidad Autonoma de Madrid. With an h-index of 74 and over 20,000 citations, his work spans biometrics, signal/image processing, artificial intelligence, and human-computer interaction. Key research areas include: Biometric anti-spoofing and DeepFakes detection Mobile and behavioral biometrics Bias/fairness in AI systems Biometric applications in e-health and education Security in multimodal biometric systems His recent publications show strong focus on deep learning applications for biometric security, with specific subfields including fake detection, keystroke authentication, facial analysis for Parkinson detection, and privacy-preserving AI. He serves as Associate Editor for multiple IEEE and Elsevier journals. Scientific distinctions include: IAPR Young Biometrics Investigator Award (2017) Miguel Catalan Award to Best Researcher under 40 (2017) EURASIP Best PhD Award (2012) EBF European Biometric Industry Award (2006) Prof. Fierrez leads the BiDA Lab and supervises students like Ruben Tolosana and Aythami Morales. Current projects include BBforTAI (Biometrics and Behavior for Unbiased & Trustworthy AI) and PRIMA (Privacy Matters). He also contributes to standardization efforts in biometric evaluation.

Francesc Moll EchetoView profile

Associate Professor

• Energy Harvesting
• Integrated Circuit Design
• Low Power Electronics
• +5 more

Francesc Moll Echeto is an Associate Professor at the Universitat Politècnica de Catalunya (UPC), affiliated with the Departament d'Enginyeria Electrònica and the Escola Tècnica Superior d'Enginyeria de Telecomunicació de Barcelona. He leads the HIPICS research group focused on high-performance integrated circuits and systems design. His expertise spans energy harvesting, low-power electronics, process variability management, and secure circuit design. He coordinates the Doctorat en Enginyeria Electrònica program and has coordinated EU-funded projects like the European Processor Initiative (EPI). Education: M.S. in Physics, Universitat de les Illes Balears, 1991 Ph.D. in Electronic Engineering, Universitat Politècnica de Catalunya, 1995 Research Focus: His work addresses energy-efficient computing, including: - Design of circuits tolerant to manufacturing variability - Energy harvesting from mechanical and RF sources - Secure hardware countermeasures against side-channel attacks - RISC-V architecture implementations in advanced technologies - Edge computing and autonomous sensor systems Grants & Collaborations: Coordinator of R&D projects like 'ARQUITECTURA DE COMPUTADORES DE ALTAS PRESTACIONES' (PID2023-146511NB-I00) Part of the Barcelona Zettascale Lab consortium Collaborations with Barcelona Supercomputing Center and industry partners Awards: HiPEAC Paper Award (2023, 2024) for innovations in vector processing and DNN acceleration Labs/Teams: Leads the HIPICS group and the EFRICS subgroup, collaborating on EU-funded initiatives like the European Processor Initiative. Active in open-source silicon projects (e.g., Sargantana RISC-V processor).

Francesc TorresView profile

Professor

• Remote Sensing
• Microwave Engineering
• Space Technology
• +4 more

Francesc Torres is a Full Professor at the Signal Theory and Communications Department of the Universitat Politècnica de Catalunya (UPC-BarcelonaTech). He holds a Doctor Ingeniero degree in Telecommunication Engineering from UPC (1992) and has extensive experience in microwave systems and space instrumentation. His research focuses on remote sensing, interferometric radiometry, and the European Space Agency's SMOS mission. He co-leads the Barcelona SMOS Expert Centre for radiometric calibration and ocean salinity studies. Torres has contributed to numerous ESA projects and served as a visiting scholar at NASA's Jet Propulsion Laboratory (2005-2006). His work bridges engineering education, with publications on STEM pedagogy and early-career development, and advanced instrumentation for Earth observation. Education: Ingeniero en Telecommunication Engineering (1988) Doctor Ingeniero en Telecommunication Engineering (1992) Research Interests: His primary areas include microwave radiometry, spaceborne sensors, calibration methodologies, and the application of remote sensing to geophysical studies. He also explores educational strategies to enhance critical thinking and self-management skills in STEM students. Current projects involve improving SMOS data accuracy through novel calibration techniques and developing educational frameworks for sustainable engineering practices. Grants & Projects: Key contributions include the SMOS mission calibration validation (CALIMAS team), GeoSTAR pilot project (JPL), and SuperMIRAS instrument development. He has led efforts to mitigate systematic errors in SMOS data and pioneered polarimetric analysis methods for rain events and ionospheric studies. Labs/Teams: Director of the Remote Sensing Laboratory (UPC), collaborating with ESA, JPL, and international research networks. Active in the Barcelona SMOS Expert Centre and the SMOSOps-Hexagonal initiative for operational mission improvements.

• Systems Engineering
• Automation Engineering
• Intelligent Instrumentation
• +7 more

Francisco Javier Pérez Castelo is a Professor in the Department of Industrial Engineering at Universidade da Coruña (UDC), specializing in Systems and Automation Engineering. He is affiliated with the Escola Técnica Superior de Enxeñaría and leads research in the Cyber Science and Technology Research Group. His research focuses on Intelligent Instrumentation, Industrial Internet of Things (IIOT), Knowledge Engineering, Expert Systems, and Intelligent Systems for modeling, optimization, and control . His work bridges theoretical control systems with practical applications in marine engineering, power electronics, and industrial automation. His research has significant applications in ship automation, marine systems control, and industrial robotics. Pérez Castelo's publication record shows a consistent trajectory in control systems and automation, with recent work emphasizing intelligent instrumentation, IIOT applications, neural networks, and expert systems in marine environments. His research has evolved from fundamental control theory to applied intelligent systems with strong industry connections. Patent: Universidade da Coruña (UDC) - 22/03/2013 request date, 11/08/2015 grant date Patent: Universidade da Coruña (UDC) - 01/10/2010 request date, 26/12/2013 grant date Patent: Universidade da Coruña (UDC) - 04/02/2008 request date, 29/03/2011 grant date Patent: Universidade da Coruña (UDC) - 19/07/2005 request date, 20/05/2009 grant date He has supervised numerous bachelor's and master's theses on topics including autonomous vehicles for ship maintenance, marine stability optimization, digital camera stabilization systems, and solar-powered LED lighting. His research has been supported by various funding entities including EMALCSA, CONSELLERIA DE EDUCACIÓN, Instituto Nacional de Ciberseguridad, and Ministerio de Ciencia e Innovación. Pérez Castelo actively collaborates with researchers across Spain and internationally, with projects spanning from 1995 to the present, demonstrating sustained research productivity. He teaches across multiple programs including the Master's Degree in Industrial Informatics and Robotics, Degree in Naval Engineering, and Degree in Marine Technologies, covering subjects such as Industrial Drives, Automation and Control Systems, Ship Installation Automation, and Advanced Control of Marine Systems. His teaching laboratory is located in the Laboratorio de Automática (ETSNM).

• Computer Architecture
• Microarchitecture
• Compilers
• +7 more

Antonio Maria Gonzalez Colas is a Full Professor at the Universitat Politècnica de Catalunya (UPC), affiliated with the Department of Computer Architecture within the Faculty of Computer Science of Barcelona (FIB). He leads the ARCO research group focused on Microarchitecture and Compilers and is actively engaged in high-impact research in computer architecture, GPUs, and energy-efficient computing. His collaborations extend to the Barcelona Supercomputing Center and various national and European research initiatives. Research Interests: His primary research areas include computer architecture, microarchitecture, compilers, GPUs, and processor design. He focuses on energy-efficient computing, deep neural network (DNN) accelerators, GPU simulation and optimization, memory systems, and architectural support for machine learning and autonomous systems. His work often integrates compiler techniques with hardware design for performance and efficiency. Scientific Production Trends: His recent publications demonstrate a strong focus on energy-efficient hardware for AI workloads, particularly DNN and speech recognition acceleration, GPU architectural innovations, memory optimization, and real-time rendering. He frequently publishes in top-tier venues such as ISCA, MICRO, HPCA, and IEEE/ACM journals. ICREA Academia Award 2024 HiPEAC 2024 Paper Award ACM Senior Member (2020) Advising and Grants: He has advised numerous PhD students whose theses cover topics like energy-efficient architectures for autonomous driving, speech recognition, and neural networks. He leads competitive R&D projects, including an ERC Advanced Grant and projects funded by the Spanish National Program and the ICREA Academia program, focusing on domain-specific architectures and cognitive computing units. Labs and Teams: He is the principal investigator of the ARCO (Microarchitecture and Compilers) research group at UPC, a leading team in computer architecture research in Spain. The group is part of a larger collaborative network within UPC and with international partners.

Maha ShaikhView profile

Associate Professor

• Open Source Software
• Public Sector Digital Transformation
• Information Systems Governance
• +3 more

Maha Shaikh is an Associate Professor at the Department of Operations, Innovation and Data Sciences within Esade Business School , Ramon Llull University. She holds an ORCID identifier 0000-0001-5110-1619 and maintains an active research agenda across multiple domains of information systems and open technology.

• Intelligent Control Systems
• Fault and Anomaly Detection
• Virtual and Robust Sensors
• +5 more

Dr. José Luis Calvo Rolle serves as a Professor in the Department of Industrial Engineering at the School of Engineering, Universidade da Coruña (UDC), specializing in Systems Engineering and Automation. His research focuses on intelligent control systems, fault detection, and virtual instrumentation within the Cybernetic Science and Technology Research Group. Teaches across multiple programs including Master's in Industrial Computing and Robotics, Textile Technology, and Occupational Risk Prevention Coordinates thesis supervision across Industrial Engineering and related disciplines His research spans intelligent control systems and optimization, with significant contributions in virtual sensors, fault detection, and AI-driven modeling for industrial applications. Current projects integrate machine learning with industrial processes for naval construction, wastewater treatment, and precision livestock farming, demonstrating cross-disciplinary impact from energy systems to agricultural technology. Recent publications reveal strong trends in applying deep learning to industrial metaverse frameworks, wastewater optimization, and livestock monitoring systems. His work bridges theoretical control engineering with practical implementations in energy management, naval manufacturing, and sustainable agriculture, frequently utilizing dimensionality reduction and one-class classification techniques. Dr. Calvo Rolle actively mentors students through thesis supervision across multiple engineering disciplines and coordinates research projects with diverse funding sources including the European Commission, Spanish National Research Agency, and industrial partners like Navantia and Telefónica. His laboratory work centers on the Cybernetic Science and Technology Research Group, developing testbeds for industrial automation, virtual instrumentation, and AI-driven monitoring systems. Current initiatives include digital twin implementations for naval manufacturing and smart energy management systems.

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

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

Rafael SebastianView profile

Professor

• Cardiac Computational Modeling
• Artificial Intelligence in Medicine
• Medical Imaging
• +4 more

Rafael Sebastian is a Full Professor at Universitat de Valencia and General Director for Science and Research of the Generalitat Valenciana. He leads the Computational Multiscale Simulation Lab (CoMMLab) and collaborates with institutions like Oxford University and Yale University. Department of Computer Science, Universitat de Valencia CoMMLab Founder Spanish Network of Excellence in Cardiac Modeling His research focuses on multi-scale computational models and artificial intelligence for patient-specific cardiac simulations , aiming to improve arrhythmia risk stratification and therapy planning . Key topics include cardiac conduction system modeling , scar-related ventricular tachycardia , and machine learning pipelines for clinical applications. Recent publications emphasize automata-based simulations for atrial arrhythmias, machine learning in arrhythmia localization, and 3D geometric characterization of aortic diseases. Trends show integration of computational modeling with clinical data and medical imaging . Scientific Awards: Best Poster Award, Functional Imaging and Modeling of the Heart (2021) Cum Laude Award, SPIE Medical Imaging (2009) Student Presentation Award (2011) He has supervised 7 PhD/Master students and led grants exceeding €1 million, including projects like iSARC-GENETICS and iCardioTwins , focusing on digital twin technology and cardiac disease stratification .