جست‌وجوی استاد و پژوهشگر

• Nanophotonics
• Quantum Dots
• Optoelectronic Materials
• +۲ مورد دیگر

Dr. Rajesh Bera is a Research Fellow at ICFO's Functional Optoelectronic Nanomaterials group specializing in quantum-confined nanostructures. His research examines ultrafast carrier dynamics, excitonic properties, and optoelectronic applications of nanomaterials including quantum dots, nanoplatelets, and hybrid nanostructures. Current investigations focus on intraband transitions in doped nanocrystals, orientation-dependent excitonic behavior in 2D materials, and charge transfer mechanisms in heterostructure devices. Work bridges fundamental photophysics with applications in photodetection, sensing, and energy conversion. Recent publications demonstrate expertise in time-resolved spectroscopy of quantum materials, nanomaterial synthesis via colloidal chemistry, and rational design of optoelectronic devices. Continually develops novel characterization methods to probe ultrafast processes at nanoscale interfaces.

• Biomedical Signal Processing
• Respiratory Monitoring
• Sleep Disorders
• +۴ 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.

Pere-Pau Vázquezمشاهده پروفایل

استادیار

• Information Visualization
• Scientific Visualization
• Medical Data Visualization
• +۶ مورد دیگر

Pere-Pau Vázquez is an Assistant Professor in AI for Visual Computing at the Computer Vision Lab, TU Wien, Austria . Previously, he held academic positions at the ViRVIG Group and Facultat d'Informàtica de Barcelona (UPC) , where he taught courses in Programming, Computer Graphics, and Visualization for over 20 years. His research focuses on Information Visualization, Scientific Visualization, Medical Data Visualization, Molecular Visualization, and AI applications to Visual Computing . Current Teaching : Data Visualization, Fast Realistic Rendering, Information Visualization, Medical Images, Scientific Visualization, Virtual Reality, and 3D Medical Visualization. Former PhD Students : Elena Molina, Alexandra Cortez, Jesús Díaz, Pedro Hermosilla, Eva Monclús. His scientific awards include the Best PhD Thesis Award (UPC, 2003), Best Student Paper Award (SPIE, 2012), and Best Paper Award (International Conference on Computer Graphics Theory and Applications, 2013). Recent publications explore AI integration in biomedical visualization, molecular data analysis, and interactive techniques for volume rendering. He serves on the EuroGraphics Executive Board as Secretary and is active in steering committees for EuroVis and Visual Computing for Biology and Medicine . His work bridges Computer Graphics, Artificial Intelligence, and Human-Computer Interaction , with applications in medical and molecular data analysis.

• Nanobiosensors
• Nanomaterials
• Biosensors
• +۳ مورد دیگر

Arben Merkoçi is an ICREA Research Professor and leader of the NanoBioelectronics and Biosensors Group at the Catalan Institute of Nanoscience and Nanotechnology (ICN2). He holds a PhD in ion-selective electrodes from the University of Tirana (Albania) and has held research positions at institutions including the Polytechnic University of Budapest, University of Ioannina, and New Mexico State University. His research focuses on integrating biological molecules with micro/nanostructures to design advanced biosensors, with applications in healthcare and environmental monitoring. Education: PhD in Analytical Chemistry (University of Tirana, 1992) Roles: Co-Editor-in-Chief of Biosensors and Bioelectronics , member of the Academy of Sciences of Albania Research interests include nanomaterial-based biosensors (e.g., graphene, MXenes, quantum dots), point-of-care diagnostics, and sensor fabrication technologies. He has pioneered innovations in inkjet-printed sensors, wearable devices, and CRISPR-integrated biosensing. His group collaborates globally to advance nanobiosensor applications in clinical and environmental settings. Over 350 publications (H-index 91) and 40 supervised PhD theses highlight his contributions. He co-founded GraphenicaLab (graphene patterning) and PaperDrop (clinical diagnostics). Active in grant acquisition and policy, he shaped Spain’s first nanoscience undergraduate program at the Universitat Autònoma de Barcelona.

• Wind Turbines
• Autonomous Learning
• Deep Learning
• +۸ مورد دیگر

Yolanda Vidal Segui is an Associate Professor in the Department of Mathematics at the Universitat Politècnica de Catalunya (UPC), affiliated with the Escola d'Enginyeria de Barcelona Est (EEBE). Her research focuses on wind energy systems, predictive maintenance, and structural health monitoring of wind turbines. She leads projects in the CoDAlab and WinTurCoM research groups, specializing in data-driven models, condition monitoring, and failure prognosis. Her work integrates machine learning, mathematical modeling, and sensor technology to enhance turbine reliability and energy efficiency. Dr. Vidal holds a PhD in Applied Mathematics and has authored over 350 publications. Her contributions include advancements in SCADA data analysis, vibration-based diagnostics, and AI-driven condition monitoring systems. She has received several accolades, including the WindEurope Technology Workshop recognition and the IFIT Distinction in Mechanism and Machine Science. Her research bridges academia and industry, addressing challenges in offshore wind turbine integrity and maintenance strategies. Active in professional service, she serves on conference committees and editorial boards (e.g., Mechanical Systems and Signal Processing, Wind Energy). Her work emphasizes sustainable energy solutions and has been applied in real-world scenarios like the Alpha Ventus wind farm. She also contributes to educational initiatives, developing innovative teaching materials for engineering students.

• Fluid Dynamics
• Turbulence
• Heat Transfer
• +۶ مورد دیگر

Andrea Ianiro is a Full Professor in the Aerospace Engineering Department at Universidad Carlos III de Madrid (UC3M), where he leads research in fluid dynamics, turbulence, and heat transfer. His work bridges experimental techniques and machine learning applications for flow analysis and control. He serves as Associate Editor of the International Journal of Heat and Mass Transfer (2025-2028) and directs the EFM Lab (Experimental Fluid Mechanics Laboratory) at UC3M. Professor Ianiro's research focuses on turbulence characterization, boundary layer flows, and the application of machine learning to fluid mechanics problems. His work spans experimental techniques including Particle Image Velocimetry (PIV), infrared thermography, and advanced data processing methods. Recent research emphasizes data-driven approaches for flow field reconstruction, turbulence control, and heat transfer optimization in wall-bounded flows. His projects often combine theoretical, experimental, and computational approaches to address complex fluid mechanics challenges. The analysis of his recent publications reveals a strong trend toward integrating machine learning with traditional fluid mechanics. His work increasingly focuses on using deep learning techniques (particularly CNNs and GANs) for flow field prediction from limited measurements, developing meshless computational methods for flow analysis, and applying optimization techniques (including genetic algorithms) to heat transfer enhancement. His research maintains a strong experimental foundation while embracing data-driven approaches to tackle turbulence modeling challenges. Associate Editor of the International Journal of Heat and Mass Transfer (2025-2028) Professor Ianiro leads multiple significant research projects including SPANDRELS (SParse AND paRsimonious Event-based fLow Sensing, 2025-2030), HumanIC (Human-Centric Indoor Climate for Healthcare Facilities, 2024-2027), and EXCALIBUR (Extraction of machine learning strategies for turbulent flow control, 2023-2026). His work has attracted funding from the European Commission, Spanish National Research Agency, and industry partners including Airbus. He has supervised numerous theses on topics including AI-based sensing of turbulent flows, convective heat transfer control, and turbulent boundary layers. At UC3M, Professor Ianiro directs the Experimental Fluid Mechanics Laboratory (EFM Lab), which focuses on advanced measurement techniques for fluid flow and heat transfer characterization. The lab specializes in PIV/PTV techniques, infrared thermography, and the development of novel experimental approaches for turbulence research. Current research directions include machine learning applications for flow field reconstruction, plasma-based flow control, and heat transfer optimization in complex flow configurations.

Agustín Zaballos Diegoمشاهده پروفایل

استادیار

• Smart Grids
• Internet of Things (IoT)
• Sensor Networks
• +۳ مورد دیگر

Agustín Zaballos Diego is an Assistant Professor in the Department of Computer Engineering at University Ramon Llull (URL), Barcelona, Spain, since 1999. He serves as Research Coordinator in the Department of Engineering at La Salle Campus Barcelona and leads the R&D Networking and Security Area since 2002. His academic background includes a PhD in Data Networks and Internet Technologies (2012), an International MBA (2014), and an M.S. in Electronic Engineering (2000). University: University Ramon Llull (URL) Department: Department of Computer Engineering Research Group: GRITS Research Focus: Real-time QoS-aware routing protocols in Smart Grids, Ubiquitous Sensor Networks, and IoT communications. His work bridges telecommunications, computer science, and energy systems through projects like OPERA (FP6), INTEGRIS (FP7), and FINESCE (FP7). Publication Trends: Recent articles highlight advancements in HF communications for Antarctic research, hybrid genetic algorithms for traffic engineering, IPv6 testing, and Industry 4.0-related networking solutions. Keywords span Smart Grids, IoT, Sensor Networks, and QoS optimization. Collaborative Projects: Key initiatives include the Antarctica Project , ATHIKA (ICT in healthcare), ENVISERA (environmental sensor networks), HOTSUP (online teaching innovation), PLANET4 (AI/ML in industry), and XIoT (IoT scalability challenges).

• Internet of Things
• Transport Protocol
• Cybersecurity
• +۸ مورد دیگر

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

• Autonomous Vehicles
• Intelligent Transportation Systems
• Robotics
• +۷ مورد دیگر

Miguel Ángel Sotelo Vázquez is a full Professor at the University of Alcalá, leading the INVETT Research Group (Intelligent Vehicles and Traffic Technologies). He holds the Department of Automatic Control and specializes in autonomous systems, particularly in path planning, sensor fusion, and human-vehicle interaction. His research integrates machine learning, robotics, and control theory to address challenges in intelligent transportation systems. He earned his Ph.D. in 2001 with a thesis on autonomous vehicle navigation in partially known environments. His work emphasizes real-world deployment, explainable AI, and safety-critical systems. Recent projects focus on lane change prediction, pedestrian behavior modeling, and cybersecurity for autonomous systems. Key contributions include neuro-symbolic frameworks for decision-making, real-time multi-physics field reconstruction, and cross-cultural studies of pedestrian interactions. He collaborates internationally on urban mobility resilience and hydrogen refueling infrastructure. Research Highlights : Development of knowledge graph-based prediction architectures Experimental validation of human-vehicle interaction in VR environments Creation of the SCOUT trajectory prediction framework

• Cybersecurity
• Internet of Things (IoT)
• Post-Quantum Cryptography
• +۵ مورد دیگر

Florina Almenares Mendoza is an Associate Professor at the Telematics Engineering Department of Carlos III University of Madrid , where she also serves as the Director of the University Master's Degree in Cybersecurity. Her research focuses on addressing security challenges in emerging technologies such as IoT, post-quantum cryptography, and privacy-preserving systems. Email: florina.almenares@uc3m.es Contact: 916246234 Location: 4.0.F06 - Quevedo Towers (Leganés) Research Interests Florina's work spans cybersecurity , Internet of Things (IoT) , and post-quantum cryptography , with a focus on scalable authentication, quantum-resistant protocols, and privacy. She explores machine learning applications for security, federated identity management , and smart grid security frameworks. Recent Publications Her recent research includes papers on DNSSEC soft delegation, hybrid quantum security for TLS/IPsec, PUF-based authentication in IoT, and blockchain-enabled auditability. These studies emphasize IoT security , quantum-resistant algorithms , and privacy-enhancing technologies .

• Computer Networks
• Internet of Things (IoT)
• Sensor Networks
• +۷ مورد دیگر

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.

• Photonics
• Telecommunications
• Electrical Engineering
• +۳ مورد دیگر

LUIS GONZALEZ GUERRERO is an Assistant Professor at the Universidad Carlos III de Madrid, specializing in photonics and telecommunications. His research focuses on integrated photonic circuits for millimeter-wave and terahertz (THz) communication systems, with applications in satellite payloads, wireless fronthaul/backhaul, and space technology. He leads projects in hybrid integrated optical platforms (e.g., InP-Si3N4), laser stability, and high-frequency signal generation. His work bridges photonics with electrical engineering to enable next-generation wireless systems. Research Interests: Dr. Gonzalez Guerrero’s expertise spans integrated photonics, microwave photonics, THz communication links, satellite communication systems, and photonic signal generation. His innovations include low-noise radiometers, optical injection locking for stable local oscillators, and high-purity mm-wave/THz signal transmission. His contributions address challenges in frequency stability, bandwidth efficiency, and phase noise mitigation in high-frequency systems. Publications: His recent work emphasizes hybrid photonic platforms, sub-THz wireless bridges, and phase noise mitigation techniques. Articles highlight advancements in optical signal processing, laser source integration, and applications in space communication. His research trends reflect a strong focus on translating laboratory prototypes into deployable systems for satellite and terrestrial networks. Affiliations: He is affiliated with the Grupo Universitario de Tecnologías de Identificación (GUTI), a research group at UC3M. His work is supported by grants focused on photonic integrated circuits and space communication technologies. He collaborates internationally on projects involving multicore fiber systems, coherent THz transmitters, and optical frequency comb applications.

Montiel Nelson, Juan Antonioمشاهده پروفایل

استاد

• VHSIC Design
• Integrated Circuit Design
• Performance Estimation and Optimization
• +۵ مورد دیگر

Dr. Juan Antonio Montiel-Nelson is a Full Professor at the Department of Electronic and Automatic Engineering, University of Las Palmas de Gran Canaria, Spain, and a permanent member of the Institute for Applied Microelectronics (IUMA). With over 195 publications and 691 citations (ResearchGate, April 2024), he maintains an h-index of 13 in Scopus with 544 citations across 407 documents. PhD in Electrical Engineering from University of Las Palmas de Gran Canaria (1994) Full Professor since 2003 (previously Titular Professor 1997-2003) Visiting Scientist at Edith Cowan University, Australia (1996-1997) His research spans VHSIC design across GaAs, SiGe, InP, and CMOS technologies, with current focus on MEMS sensors design and integration for health monitoring, oceanographic profiling, and aquaculture applications. His work integrates circuit design with AI-driven systems for environmental and health monitoring. Dr. Montiel-Nelson serves on the MWSCAS Steering Committee since 2009 and the IEEE Sensors council for the Spanish chapter. He has contributed to 72 IEEE publications including flagship conferences from 2006-2023 and serves as reviewer for multiple IEEE Transactions journals. Myril B. Reed Best Paper Award, 2008 IEEE MWSCAS Active reviewer for IEEE Transactions on Circuits and Systems I/II Reviewer for IEEE Transactions on Very Large Scale Integration (VLSI) He currently leads multiple major research initiatives including EU-funded projects on AI-assisted health monitoring systems and national projects on oceanographic profilers and aquaculture sensor networks, demonstrating strong leadership in interdisciplinary research bridging electronic engineering with practical environmental and healthcare applications.

• Optical Fiber Sensors
• Photonics
• Biomedical Applications
• +۳ مورد دیگر

Joel Villatoro is an Ikerbasque Research Professor at the Faculty of Engineering, University of the Basque Country (UPV/EHU), specializing in applied photonics and optical fiber sensor technology. He holds M.Sc. and Ph.D. degrees in Optics from the National Institute for Astrophysics, Optics, and Electronics (Mexico, 1995 and 1999). His research focuses on interferometric sensors, biomedical applications, and advanced optical fiber technologies, with notable contributions to multicore and photonic-crystal fiber sensors. He has held positions at institutions such as ICFO (Spain), Aston Institute (UK), and Case Western Reserve University (USA). Education: M.Sc. in Optics, National Institute for Astrophysics, Optics, and Electronics, Mexico (1995) Ph.D. in Optics, National Institute for Astrophysics, Optics, and Electronics, Mexico (1999) Research Interests: Interferometric sensors, real-world environmental monitoring, micro/nano-biosensors, and fiber-optic sensor integration into industrial systems. His work emphasizes practical applications in aerospace, healthcare, and environmental sectors. Key Contributions: Over 130 publications, 6 patents, and 2,500+ citations. His research bridges fundamental photonics with industrial applications, including sensor fabrication, multiparameter sensing, and additive manufacturing of embedded sensors. Labs/Teams: Leads the Applied Photonics Group at UPV/EHU, focusing on prototyping and real-world sensor deployment.

• Robotics
• Biomedical Engineering
• Rehabilitation Engineering
• +۳ مورد دیگر

Maria Dolores Blanco Rojas is a Full Professor and Deputy Director of the Systems and Automatic Engineering Department at Universidad Carlos III de Madrid (UC3M). Her research focuses on robotics and biomedical engineering, particularly in the development of soft robotic exoskeletons, shape memory alloy (SMA) actuators, and rehabilitation technologies. She leads the Robotics Lab and has contributed to over 100 peer-reviewed articles. Affiliations : UC3M, Robotics Lab, Systems Engineering and Automation Department Education : Not explicitly stated in text Her research interests include: Soft Robotics : Design of wearable exoskeletons for pediatric and post-stroke patients Materials Science : SMA-based actuators for medical and robotic applications Control Systems : Adaptive control algorithms for rehabilitation devices Biomedical Engineering : Integration of sEMG signals for gesture classification in assistive technologies Recent articles explore topics like hyperparameter optimization for machine learning models, SMA actuator efficiency, and eye-hand coordination assessment systems. Projects include the development of pediatric rehabilitation robots (Discover2Walk) and soft exoskeletons for ankle and wrist mobility. Grants/Projects : SRAR (2024–2027): Soft robotics for ankle rehabilitation STRIDE-UC3M (2022–2024): Pediatric exoskeleton validation Advising : Supervised theses on SMA actuators, soft exoskeletons, and rehabilitation systems Her lab develops novel sensors and actuators, including a silver-coated polyamide sensor and multi-wire SMA actuators for high-displacement applications. Collaborations include Airbus and TechnoFusión facilities.