جستجوی استاد راهنمای دانشگاهی

Marc Freixes Guerreiro is a Researcher at La Salle School of Engineering, Department of Engineering, part of La Salle - Universitat Ramon Llull in Barcelona, Spain. His work focuses on interdisciplinary research at the intersection of acoustics, human-environment interaction, and biomedical engineering. He actively participates in multiple research projects investigating soundscape perception, vocal tract modeling, and human comfort in built environments. His research interests span a diverse range of fields including Acoustics , Soundscape , Vocal Tract Modeling , Urban Environment , Sensor Networks , and Citizen Science . His work combines computational modeling with practical applications in both urban settings and biomedical contexts. He has particular expertise in analyzing vocal phenomena, from animal vocalizations for welfare monitoring to human phonation mechanics for speech synthesis and clinical applications. Analysis of his recent publications reveals a strong interdisciplinary trend, connecting engineering principles with applications in healthcare, urban planning, and cultural heritage. His work demonstrates expertise in both theoretical modeling (such as finite element analysis of vocal folds) and practical implementation (like sensor networks for environmental monitoring). The research spans from fundamental acoustics to applied projects addressing real-world challenges in animal welfare, medical diagnostics, and urban comfort. Marc Freixes Guerreiro leads and participates in multiple significant research projects including the BeNeXT project for Turner syndrome diagnostics, DISTRESIA for stress biomarker identification in educational contexts, Sons dels Monestirs for sacred space acoustics in Catalan monasteries, and Inhabiting Gaudí for comfort assessment in Gaudí's architectural masterpieces. His collaborative work demonstrates strong connections across engineering, medical, and humanities disciplines. His laboratory work focuses on the Human-Environment Research group within the Department of Engineering, where he develops and applies acoustic measurement techniques, computational models, and sensor network solutions. His research teams typically include interdisciplinary collaborators from engineering, medical, and humanities backgrounds, reflecting the cross-cutting nature of his research interests.

• Acoustics
• Soundscape
• Vocal Tract Modeling
• +۷ مورد دیگر

Matti Kutila serves as Research Team Leader for the Automated Vehicles Unit (BA4801) at VTT Technical Research Centre of Finland, driving innovation in autonomous mobility systems. His work spans sensor technology, vehicle safety, and intelligent infrastructure with direct contributions to UN Sustainable Development Goals. Research focuses include: Automated Vehicle Perception : Developing weather-adaptive camera systems and sensor fusion for adverse conditions Connected Mobility : Creating V2X communication protocols for cooperative perception and intersection safety Positioning Systems : Advancing UWB-based localization for high-precision vehicle navigation Commercial Deployment : Addressing regulatory and operational challenges for autonomous vehicle services Kutila currently leads five major EU-funded initiatives including ROADVIEW (automated driving in extreme weather) and REALLOCATE (urban space redesign for active transport), managing multi-million-euro budgets across international consortia. His research demonstrates strong translation from theory to practical implementation, evidenced by multiple patents and industry partnerships. As head of VTT's Automated Vehicles unit, he oversees a high-output research team producing 4-8 publications annually since 2005, with recent work appearing in Transportation Research Procedia and IEEE conferences. The unit maintains close collaboration with automotive OEMs, infrastructure providers, and European research networks to advance autonomous mobility solutions.

• Automated Vehicles
• Sensor Systems
• Road Safety
• +۵ مورد دیگر

Professor Marcello Ruiz is a faculty member at Universidad de Las Palmas de Gran Canaria (ULPGC), affiliated with the College of Engineering and Architecture's Department of Signals and Communications. He leads the Image Processing and Remote Sensing Research Group under the IU of Oceanography and Global Change, focusing on environmental monitoring through advanced remote sensing techniques. His research integrates AI and satellite technologies to address ecological challenges, with core interests in: Coastal ecosystem vulnerability assessment Forest degradation and fire mapping Super-resolution of satellite imagery Machine learning for multispectral/LiDAR analysis Oceanographic pattern detection Recent publications demonstrate strong emphasis on AI-driven methodologies, with 2023-2024 works focusing on GANs for image enhancement, forest conservation algorithms, and coastal habitat monitoring using high-resolution sensors. His team consistently publishes in Q1 journals including IEEE Transactions on Geoscience and Remote Sensing and Remote Sensing. Professor Marcello actively advises graduate students, with supervised theses covering UAV-based forest analysis, coastal bathymetry, and oceanographic eddy detection. He maintains collaborations through IEEE GRSS Spain Chapter and develops tools for environmental agencies needing satellite-based ecosystem monitoring solutions.

• Remote Sensing
• Satellite Imagery Analysis
• Coastal Ecosystem Monitoring
• +۳ مورد دیگر

José Aurelio Santana Almeida is a Full Professor at the University of Las Palmas de Gran Canaria, affiliated with the Department of Signals and Communications and the Institute of Cybernetics, Enterprise and Society. His research spans telecommunications engineering with specializations in signal processing, wireless networks, and image analysis. Primary research interests include: Energy-efficient wireless networks for smart city infrastructure Medical and satellite image processing algorithms Ubiquitous sensor communications and IoT systems Telecommunications systems optimization Recent publications (2014-2019) demonstrate a strong focus on WiFi optimization, mesh networks, and sensor communications for urban environments, while earlier work (2003-2004) established foundations in medical image processing including MRI analysis and nonrigid registration techniques. Professor Santana has supervised 14 bachelor/master's theses projects, primarily focused on: Medical image processing and visualization Wireless sensor platforms Satellite image correction and analysis Network infrastructure development

• Signal Processing
• Telecommunications
• Wireless Networks
• +۵ مورد دیگر

Maria-Cristina Marinescu serves as a Lecturer in the Department of Mathematics and Data Analytics at IQS School of Management. With a strong foundation in computational methods and data analysis, she contributes significantly to both teaching and research within the institution. Her academic profile demonstrates consistent scholarly activity with 44 documented scientific production items spanning over two decades. Dr. Marinescu's research interests center on Machine Learning, Data Analytics, and Artificial Intelligence, with notable applications in epidemic modeling, wireless sensor networks, and programming models. Her work bridges theoretical computer science with practical applications addressing real-world challenges in public health, digital well-being, and medical diagnostics. The fingerprint analysis of her work shows strong emphasis on Machine Learning (100%), Learning Systems (100%), and Transportation Models (100%), with substantial contributions to Programming Models (84%) and Wireless Sensor Networks (77%). Her recent publications reveal a trend toward interdisciplinary research that combines computational methods with societal challenges. She has made significant contributions to epidemic modeling during the COVID-19 pandemic, developing methods for accurate incidence rate estimation in Spain and analyzing information gains from multiple epidemic model outputs. Additionally, her work extends to medical applications including research on ocular ischemia and glaucoma, as well as innovative approaches to automated metadata annotation using machine learning techniques. Dr. Marinescu actively leads and participates in multiple research projects including Uncovering patterns of unconscious reactions to fake content (as Principal Investigator), MobilePressure (focused on reducing children's smartphone exposure), and ADAMIQS: Applied Data Analytics and Modelling IQS . These projects demonstrate her commitment to addressing contemporary issues through data-driven approaches while mentoring students and collaborating with interdisciplinary research teams.

• Machine Learning
• Data Analytics
• Artificial Intelligence
• +۳ مورد دیگر

Juan Manuel Corchado Rodríguez is a Full Professor with Chair at the University of Salamanca, Spain, where he has held numerous leadership positions including Vice President for Research and Technology Transfer (2013-2017), Director of the Science Park, Director of the Doctoral School, and Dean of the Faculty of Science (elected twice). He belongs to the Department of Computer Science and Automation and leads the BISITE Research Group focused on Bioinformatics, Intelligent Computing Systems and Educational Technology. His educational background includes a PhD in Computer Sciences from the University of Salamanca (1998) with thesis titled "Multi-agent systems based on hybrid artificial intelligence algorithms for real-time predictions and complex series" supervised by Dr. José Rafael García-Bermejo Giner, and a second PhD in Artificial Intelligence from the University of the West of Scotland. Corchado's research spans multiple cutting-edge domains in computer science, with primary focus on multi-agent systems, artificial intelligence, and ambient intelligence. His work integrates these technologies to solve real-world problems in smart cities, healthcare monitoring, energy management, and accessibility. He has pioneered approaches that combine wireless sensor networks with intelligent agents to create context-aware systems that can adapt to user needs and environmental conditions. His research particularly emphasizes practical implementations that bridge theoretical advances with tangible applications. Analysis of his recent publications reveals a consistent trajectory toward increasingly integrated intelligent systems. His work has evolved from foundational multi-agent architectures like PANGEA to sophisticated applications in smart territories, energy management, and healthcare. A notable trend is the convergence of multiple AI techniques (neural networks, case-based reasoning, organizational models) within single frameworks. His research increasingly addresses societal challenges through technological solutions, particularly in sustainable urban development and assistive technologies for vulnerable populations. Corchado directs the BISITE Research Group (Bioinformatics, Intelligent Computing Systems and Educational Technology), which operates within multiple university institutes including the University Research Institute in Animation Art and Technology, the University Institute for Science and Technology Studies, and the Biomedical Research Institute of Salamanca. His team develops practical applications of AI and multi-agent systems across various domains, with particular emphasis on creating technologies that improve quality of life and operational efficiency.

• Artificial Intelligence
• Multi-agent Systems
• Wireless Sensor Networks
• +۶ مورد دیگر

Dr. Alfonso González Briones is an Associate Professor in the Department of Computer Science and Automation at the University of Salamanca, where he conducts cutting-edge research in intelligent systems and their applications. He is a prominent member of the BISITE Research Group and has also worked with the GRASIA Research Group at Complutense University of Madrid as a 'Juan De La Cierva' postdoc. His academic journey at the University of Salamanca includes a Bachelor of Technical Engineering in Computer Engineering (2012), a Bachelor's Degree in Computer Engineering (2013), a Master's Degree in Intelligent Systems (2014), and a PhD in Computer Engineering (2018). His research focuses on Ubiquitous Computing and Ambient Intelligence for developing smarter, more energy-efficient cities that improve social welfare and promote sustainable development. His work spans Multiple Agent Systems (MAS), energy optimization, smart cities infrastructure, Industry 4.0 applications, and machine learning techniques for various domains including social networks, transportation, and agricultural systems. Dr. González Briones has published extensively with over 30 journal articles and 60 conference proceedings publications, demonstrating consistent productivity across multiple domains of computer science and artificial intelligence. His research trends show a clear progression from foundational work in multi-agent systems toward increasingly sophisticated applications in smart cities, energy management, and Industry 4.0 contexts, with a growing emphasis on practical implementations that address real-world challenges. 2nd place in 1st SENSORS+CIRTI Award for best national thesis in Smart Cities (CAEPIA 2018) Juan de la Cierva State Program Grant in ICT - Information and Communication Technologies (2018) Member of scientific committees for Advances in Distributed Computing and Artificial Intelligence Journal (ADCAIJ) and British Journal of Applied Science and Technology (BJAST) Reviewer for prestigious journals including Supercomputing Journal, Journal of King Saud University, Energies, Sensors, Electronics, and Applied Sciences As an active researcher, Dr. González Briones has participated in 10 international research projects and served on technical committees for prestigious international conferences including AIPES, HAIS, FODERTICS, PAAMS, and KDIR. His work bridges academic research with practical industry applications, particularly in energy optimization systems, IoT, and Machine Learning solutions for real-world problems. He has also collaborated with private research centers including Virtual Power Solutions in Portugal and AIR Institute, where he worked as Project Manager in Industry 4.0 and IoT projects. His research infrastructure includes work with the BISITE Research Group, where he develops and implements multi-agent architectures for optimizing energy consumption and other complex systems. His laboratory work spans smart home energy management, intelligent transportation systems, semantic analysis for Industry 4.0, and social network analysis applications.

• Ubiquitous Computing
• Ambient Intelligence
• Smart Cities
• +۸ مورد دیگر

Juan Francisco de Paz Santana is an Adjunct Professor at the University of Salamanca, affiliated with the Department of Computer Science and Automation within the Faculty of Science. He is also associated with the Biomedical Research Institute of Salamanca and the Expert System and Applications Lab (ESALAB). Department: Computer Science and Automation Institute: Biomedical Research Institute of Salamanca Research Group: ESAL (Expert System and Applications Lab) His research focuses on artificial intelligence applications in urban environments, with particular emphasis on smart city technologies. His work bridges computer science with practical urban planning solutions through the development of intelligent systems that can manage complex city infrastructures. His publications demonstrate a strong focus on agent-based architectures for Internet of Things applications in urban contexts, showing how distributed systems can optimize city operations like traffic management. His research integrates multiple AI techniques to create scalable solutions for smart city challenges. As an adjunct faculty member, he contributes to the academic mission of the university while maintaining active research collaborations, particularly with senior researchers like Dr. Juan Manuel Corchado Rodríguez.

• Artificial Intelligence
• Multi-Agent Systems
• Smart Cities
• +۴ مورد دیگر

Eva Carolina Sañudo Zotes is an Associate Professor in the Department of Inorganic and Organic Chemistry at the Faculty of Chemistry, University of Barcelona. As a senior member of the Grup de Magnetisme i Molecules Funcionals (GMMF) since its founding in 2009, she leads the Molecular Nanoscience research line focused on molecular nanomagnets. She currently serves on the IN2UB Steering Committee and founded the Equal Opportunities Committee at IN2UB in 2022. Her academic journey began with a Chemistry Degree (1997) and Master in Experimental Chemistry - Inorganic Chemistry (1998) from the University of Barcelona, followed by a PhD from Indiana University (2003). Postdoctoral research at the University of Manchester (2003-2005) preceded her prestigious Juan de la Cierva Fellowship (2005) and Ramón y Cajal Fellowship (2008), which led to her permanent appointment at UB in 2013. Dr. Sañudo's research pioneers molecular magnetism and nanoscience, specializing in single-molecule magnets (SMMs), metal-organic frameworks (MOFs), and coordination chemistry. Her work emphasizes microwave-assisted synthesis, nanostructuration of SMMs, surface-molecule interactions, and applications in molecular spintronics, information storage, and drug delivery. She has developed innovative approaches for 2D Van der Waals MOFs and clean synthesis methods, significantly advancing the field of molecular nanomagnets. Analysis of her 2019-2024 publications reveals consistent focus on hybrid magnetic systems, particularly SMM-nanoparticle composites and 2D MOF architectures. Her work bridges fundamental crystallography with practical applications, demonstrating exceptional innovation in surface functionalization techniques and magnetocaloric effects for next-generation spintronic devices. Her scientific recognition includes: Juan de la Cierva Fellowship (2005) Ramón y Cajal Fellowship (2008) I3 Certificate for research excellence Canon Foundation Fellowship (2013) Invitation to write Perspectives review for Dalton Transactions (2015) Dr. Sañudo has secured continuous funding through Spanish Ministry grants (2009, 2012, 2015, 2018, 2021) and Generalitat AGAUR projects, serving as Principal Investigator since 2019. She has hosted PhD students from Costa Rica, Iran, Tunisia, and Germany, along with visiting professors from Indiana University and University of Melbourne. As an expert reviewer for international journals and funding agencies, she actively shapes her field while mentoring the next generation of scientists. Her Molecular NanoLab (https://www.ub.edu/molnanolab) operates within IN2UB, where her team develops cutting-edge molecular nanomagnets for spintronic applications. Through GMMF and European collaborations like COST MolSpin and FATMOLS, she maintains a global research network spanning Europe, Asia, and the Americas, driving innovation in molecular materials science.

• Molecular Magnetism
• Single-Molecule Magnets (SMMs)
• Metal-Organic Frameworks (MOFs)
• +۶ مورد دیگر