جستجوی استاد راهنمای دانشگاهی

• Biomedical Engineering
• Autonomous Systems
• Robotics
• +۴ مورد دیگر

Rafael Barea Navarro is a Professor in the Department of Electronics Technology at the University of Alcalá. His research focuses on biomedical engineering, autonomous systems, robotics, artificial intelligence, and driver safety. He leads the Biomedical Engineering Research Group (GIB) and the Robótica de Servicios y Tecnologías para la Seguridad Vial (Robesafe) group. His work bridges AI applications in medical diagnostics (e.g., multiple sclerosis via OCT) and advanced autonomous vehicle technologies, including motion prediction, reinforcement learning, and real-time safety systems. Education: PhD in Electronics from the University of Alcalá (2001), with a thesis on EOG-based human-computer interfaces for mobility assistance. His research spans over 50 peer-reviewed articles since 2000, emphasizing practical applications in healthcare and robotics. Key research themes include: 1) AI-driven medical diagnostics; 2) autonomous vehicle control systems; 3) sensor fusion for navigation; and 4) driver attention monitoring. His work integrates robotics, computer vision, and biomedical signal processing. Publications emphasize interdisciplinary approaches, with recent work combining OCT and explainable AI for early disease diagnosis, and hybrid reinforcement learning frameworks for urban autonomous driving.

• Computer Science
• Artificial Intelligence
• Robotics

Gonzalo Esteban Costales is a researcher affiliated with the University of Leon from 2012 to 2025, specializing in Computer Science and Artificial Intelligence within the Robotics research group. His work bridges haptic simulation, robotics, and educational technology. Education: Ph.D. in Computer Science (2020), University of Leon, with a thesis on haptic simulators for expert knowledge transfer . Research Interests: Haptic simulation for surgical training and rehabilitation Robotics security in industrial environments Educational technology frameworks Version control analytics for student performance Open-source vulnerability detection tools Key Article Trends: Recent publications focus on haptic workspace optimization, threat modeling for robotic production plants, and security enhancements in continuous integration workflows. His work spans simulation design, cybersecurity, and educational applications of robotics.

Pooran Memariمشاهده پروفایل

پژوهشگر

• Geometric Modeling
• Computer Graphics
• Computational Geometry
• +۵ مورد دیگر

Pooran Memari is a CNRS Researcher at the Laboratoire d'Informatique de l'École Polytechnique (LIX), UMR CNRS 7161, Institut Polytechnique de Paris, and an Affiliate Professor (part-time) at École Polytechnique. She leads research in geometric modeling within the GeomeriX team at LIX-Inria, focusing on theoretical foundations and applications in accessibility and neurocognition. Her academic journey includes: HDR (Habilitation à diriger des recherches), Institut Polytechnique de Paris, 2024 Ph.D. in Geometric Modeling, INRIA Sophia-Antipolis, 2010 Master in Image and Geometry, University of Nice-Sophia Antipolis, 2006 Engineering Degree, École Polytechnique, 2005 Bachelor in Mathematics, Sharif University of Technology, 2002 Dr. Memari's research bridges geometric modeling, computational geometry, and computer graphics with real-world impact. She pioneers techniques in shape representation, point pattern synthesis, and surface reconstruction, advancing proximity encoding and clustering algorithms. Her work extends to accessibility applications—developing geometric models for visually impaired navigation through multisensory perception—and neurocognition validation via tactile interfaces. This interdisciplinary approach integrates theoretical rigor with practical tools like the CGAL library. Recent publications (2024-2019) reveal a cohesive trajectory in geometric processing: advancing point pattern synthesis through image-based editing (Patternshop), stability-incorporated neighborhood graphs (SING), and multi-class disk distributions; innovating surface reconstruction via Voronoi-based methods (BallMerge); and expanding applications to virtual worlds simulation and neurocognitive accessibility. Key themes include bridging discrete geometry operators with high-dimensional data analysis and translating theoretical insights into tools for visual computing. Dr. Memari actively mentors the next generation of researchers, advising eight PhD students on topics ranging from generalized Voronoi diagrams to neurocognition-driven tactile navigation. She coordinates Computer Science Projects for École Polytechnique's Bachelor program since 2019 and co-leads the Interaction, Graphics & Design master's program at IP-Paris. Her leadership extends to editorial roles at Computer Graphics Forum and Graphical Models Journal, alongside prominent conference positions including SGP Program Co-Chair (2023) and Eurographics STARs Co-Chair (2025). As a core GeomeriX team member, she drives collaborative projects in geometric modeling and virtual environments. She coordinates the LIX Seminar since May 2025 and serves on the French Eurographics Chapter board, fostering community engagement through initiatives like the IGD master's program and Eurographics symposia.

• Assistive Technologies
• Health Informatics
• Biomedical Engineering
• +۷ مورد دیگر

Dr. Andreu Català Mallofré is a Full Professor at the Universitat Politècnica de Catalunya (UPC), affiliated with the Department of Systems, Automatic and Industrial Informatics Engineering. He serves as the principal investigator at the CETpD - Centre d'Estudis Tecnològics per a l'Atenció a la Dependència i la Vida Autònoma (Technical Research Center for Dependency Care and Autonomous Living) and leads the TOC - Tecnologia Orientada a la Comunitat (Community-Oriented Technology) research group. With an academic career spanning over 30 years, he specializes in assistive technologies, human-computer interaction, and biomedical data analysis. His research interests focus on Wearable health monitoring systems Parkinson's disease management solutions Frailty assessment algorithms Emotion-driven computing Community-embedded technology Gerontechnology applications These areas have produced 367 academic outputs including 59 indexed journal articles, 148 conference papers, and 66 competitive R&D projects. Recent publications demonstrate a clear trend toward multimodal health monitoring combining inertial sensors with biometric data for aging populations . Key application areas include freezing-of-gait detection in Parkinson's patients and distress estimation during assisted mobility. His 2024 work explores agricultural sustainability through data-driven fertilizer optimization. Scientific recognition includes UPC Social Council Award (2013) 20+ years as conference committee member Multiple competitive R&D grants 23391773000 Scopus ID Orcid 0000-0001-8775-1955 As academic advisor, he has mentored 3 PhD candidates including Daniel Manuel Rodriguez-Martin (Human Movement Analysis, 2020) Leonid Ivonin (Physiological Signal Processing, 2014) John Neal Abram Brown (Calm Computing, 2014) His teams operate within Vilanova i la Geltrú's School of Engineering, with strong industry and healthcare sector collaborations.

• Robot Cooperation
• Human-Robot Interaction
• People Motion Behavior
• +۵ مورد دیگر

Anaís Garrell Zulueta is an Associate Professor at the Polytechnic University of Catalonia (UPC) and a Robotics Researcher at the Institut de Robòtica i Informàtica Industrial (CSIC-UPC) . She serves as Vice-Director of the Mobile Robotics and Intelligent Systems subline and supervises the RAIG - Mobile Robotics and Artificial Intelligence Group . PhD (2013): European Doctorate with highest honors from UPC B.S. in Mathematics (2006) from University of Barcelona Diploma d'Estudis Avançats (DEA) in Control, Vision, and Robotics from UPC Her research focuses on Human-Robot Interaction (HRI) and robot cooperation , particularly in urban environments . Key themes include: Explainable AI for robot transparency Human motion behavior prediction Socially aware navigation systems Collaborative transport robotics Autonomous last-mile delivery systems Cybernetic avatars and societal implications Recent projects (2023-2025) include: TORNADO: Foundation models for robots handling deformable objects HandIA: AI-based rehabilitation tools LENA: Lifelong navigation learning TRIFFID: First responder assistance robotics SOCIAL PIA: Cybernetic avatar modeling Scientific recognition includes: Second Prize for Best Spanish Robotics Thesis Best Paper Award Nomination (IEEE/RSJ IROS, 2009) As an advisor, she supervises: PhD students: Ferran Gebelli Guinjoan, Lavinia Hriscu, Edison Bejarano Final year projects: 8 students on topics like LLM-enhanced interaction and LiDAR SLAM systems She operates within the Institut de Robòtica i Informàtica Industrial (IRI) and collaborates with Carnegie Mellon University.

• Automotive Engineering
• Railway Engineering
• Mechanical Engineering
• +۶ مورد دیگر

Vicente Díaz López is a Full Professor in the Department of Mechanical Engineering at Carlos III University of Madrid. He serves as Director of the Duque de Santomaró Institute of Motor Vehicle Safety and Director of the Master's Degree in Railway Engineering. Academic Department: Mechanical Engineering Research Group: Experimental Mechanics, Calculations and Transport Group (MECATRAN) Contact: vdiaz@uc3m.es Research Interests span automotive and railway engineering, focusing on: Intelligent tire systems for grip and friction estimation Vehicular dynamics and stability control Braking efficiency and safety analysis Structural mechanics in transport systems Sensor fusion and neural networks for vehicle parameter estimation Roadworthiness testing methodologies Recent Publications demonstrate expertise in: Brake force estimation techniques Intelligent tire development Vehicle roll stability control Structural failure analysis in transport Low-cost sensor systems for driver monitoring Projects include: Principal investigator of the fBrake software suite (2014–present) for braking efficiency analysis Multiple contracts with technical inspection agencies (ITV) and companies like Bombardier Patent development for driving style evaluation systems

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

Antonio García Cabotمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Educational Technology
• Natural Language Processing
• +۵ مورد دیگر

Antonio García Cabot is an Associate Professor in the Department of Computer Science at the University of Alcalá. His research focuses on artificial intelligence, educational technology, natural language processing, and mobile computing. He leads the INTELIA research group (Interaction Technologies and Artificial Intelligence Lab) and previously contributed to the PMI group (Intelligent Mobile Platforms). He earned his Doctorate in Computer Science from the University of Alcalá in 2013 with a thesis titled *Propuesta de un sistema multi-agente para la adaptación de contenidos docentes a las competencias, contexto y dispositivo del usuario*. His work emphasizes accessibility in digital education, gamification in MOOCs, and software engineering innovations like automated code repair using LLMs. Research trends in his 2024-2025 publications include: Advancing AI applications in educational assessment (e.g., automated question generation, distractor design) Improving mobile app usability through gesture-based interfaces and sensor integration Developing large language model-based tools for vulnerability repair and teacher simulation analysis Systematic reviews on digital competence ecosystems and multilingual AI systems His contributions to open educational resources (OER) and accessible virtual campuses have been widely adopted in Latin America. Current research extends into embedded systems education and olfactory stimuli impacts on mobile app performance.

• Artificial Intelligence
• Educational Technology
• Mobile Applications
• +۳ مورد دیگر

Eva García López is a Professor in the Department of Computer Science at the University of Alcalá. She holds a PhD from the same institution, completing her thesis on improving the usability of interfaces for teaching objects in m-learning in 2013. Her research focuses on usability engineering, artificial intelligence, and educational technology, with emphases on mobile applications, accessibility, and gamification. She is affiliated with the INTELIA research group (Interaction Technologies and Artificial Intelligence Lab) and previously contributed to TIFyC (Information Technologies for Training and Knowledge) and PMI (Intelligent Mobile Platforms). Eva’s work spans developing adaptive learning systems, enhancing digital content accessibility, and leveraging large language models for educational tools. Her projects include MOOC development, social gamification experiments, and usability evaluations of mobile instant messaging apps. She has also explored the impact of olfactory stimuli on user performance and the application of NLP in automated question generation. Her contributions include guidelines for accessible digital content creation and frameworks for personalized learning paths in web engineering curricula. Her research integrates interdisciplinary approaches, combining machine learning, human-computer interaction, and educational theory to address challenges in digital learning ecosystems. Notable contributions include frameworks for curriculum development, methodologies for usability evaluation, and tools for automated code vulnerability repair.

• Artificial Intelligence
• Computer Science
• Financial Modeling
• +۴ مورد دیگر

José Ignacio Olmeda Martos is a Professor at the Computer Science Department of the University of Alcalá, Spain. His research focuses on artificial intelligence, neural networks, financial modeling, and applications in tourism and e-learning. He leads the CSRG-UAH Cognitive Science Research Group and the AUDITAI Group for AI Software Development. He earned his Ph.D. in 1996 with a thesis on nonlinear financial models under Dr. Sergio Barba-Romero. His work bridges computational methods with real-world challenges in finance, tourism, and education. Research interests include predictive analytics, algorithmic optimization (genetic algorithms, SOMs), and accessibility in digital systems. His contributions span hybrid models in credit scoring, volatility forecasting using neural networks, and e-commerce adoption analysis. Over 25 years, he has published extensively on topics like tourism demand prediction (PLAZA project), web accessibility metrics, and financial market predictability. Key projects include developing internet-based tourism reservation systems for Castilla-La Mancha and applying wavelet filtering in financial time series. His research emphasizes interdisciplinary applications, integrating AI with tourism management and financial engineering. Education: Ph.D., Universidad de Alcalá, 1996 Publications reflect his expertise in computational finance, tourism technology, and machine learning. Despite no listed awards, his work demonstrates sustained impact in both academic and applied domains. Advising and grant activities are not detailed in the provided texts.

• Smart Cities
• Energy Forecasting
• Artificial Intelligence
• +۷ مورد دیگر

Massana Raurich, Joaquim is a Lecturer in the Department of Electrical, Electronic and Automatic Engineering at the University of Girona, Spain. His academic and research activities are centered on intelligent systems, with applications in smart cities, energy forecasting, and healthcare technologies. He is an active member of the eXiT Research Group (Control Engineering and Intelligent Systems), contributing to cutting-edge interdisciplinary projects such as HIT2GAP and PEPPER. Research Interests: Smart Cities and Urban Energy Modeling Short-Term Load Forecasting in Non-Residential Buildings Artificial Intelligence in Healthcare Insulin Recommender Systems for Type 1 Diabetes Multivariate Statistical Monitoring Data-Driven Control Systems His recent publications reflect a strong trend in applying machine learning and data science to both energy systems and medical decision support, particularly in personalized healthcare. The integration of AI in diabetes management and energy efficiency platforms demonstrates a consistent focus on real-world, impactful applications. Scientific Contributions: Published in high-impact journals such as IEEE Communications Surveys & Tutorials, Energy and Buildings, and Expert Systems with Applications Contributed to European research projects including H2020-funded initiatives Developed public software for mental health and nervous system disorder detection using EEG data Delivered lectures and talks to promote engineering vocations in high schools Active participant in international conferences on AI and smart systems Advising and Grants: While no formal students are listed, he has supervised final degree projects and guided students in internships and laboratory practices. He has participated in multiple competitive research grants, including national (RTC-2017-6701-1) and European projects (H2020-EeB-2015 –680708, Grant Agreement 689810), demonstrating strong grant acquisition and collaborative research capabilities. Laboratories and Research Teams: He is a core member of the eXiT Research Group at the University of Girona, which focuses on Artificial Intelligence and Machine Learning applied to medicine and healthcare. The group develops intelligent systems for personalized decision support, energy monitoring, and adaptive control, operating at the intersection of engineering, computer science, and clinical applications.

• Computer Vision
• Mobile Devices
• Assistive Technology
• +۳ مورد دیگر

Dr. Juan Manuel Sáez Martínez is a full professor in the Department of Computer Science and Artificial Intelligence at the University of Alicante's Higher Polytechnic School II. With a PhD in Computer Engineering and over two decades of academic experience since 2000, he specializes in Computer Vision and Mobile Device Applications for accessibility, particularly for the blind and visually impaired. His groundbreaking NaviLens project—a digital signage system patented internationally by the University of Alicante and licensed to Neosistec SL—represents a significant contribution to assistive technology. Teaching experience across 15+ years in programming fundamentals, computer systems, and internships for telecommunications and multimedia engineering Supervised one PhD thesis on structural similarity in object recognition Active in public research projects including airport navigation systems and airborne obstacle detection for the visually impaired His research interests focus on computer vision algorithms , stereo-based wearable devices , and ultra-efficient artificial vision systems for mobile platforms . Recent work includes biomedical informatics applications like 3D obstacle detection and accessibility-oriented UI design. He has participated in 10+ competitive public research projects (2016-2021) while contributing to technology transfer initiatives. Teaching contributions include 4 quinquennials (five-year terms) and 14+ years of instruction in Programming Fundamentals I for Telecommunication Sound and Image Engineering. Notable collaborations include co-authorship with Dr. F. Escolano on entropy-based SLAM algorithms and Gaussian mixture models for image processing. Current research emphasizes practical applications through the Mobile Vision Research Laboratory (MVRLab) .

Ana Puig Puigمشاهده پروفایل

استاد

• Gamification in Education
• Serious Games
• 3D Point Clouds
• +۹ مورد دیگر

Dr. Anna Puig Puig is a Professor at the University of Barcelona, affiliated with the Faculty of Mathematics and Computer Science within the Department of Mathematics and Computer Science. Her research focuses on gamification in education, 3D point cloud processing, data visualization, and biomedical applications of computer science. Key research areas include: Gamification and serious games for education 3D point cloud segmentation and analysis Machine learning applications in geospatial and biomedical domains Interactive visualization systems Virtual reality for archaeological and educational purposes Notable projects include: INDOMAIN - Pedagogical Module in Intelligent Tutoring Systems HORIZON 2020 European Cancer Image Platform GRAPES - Machine Learning for Shape Processing CLiC Research Group in Language and Computing Digital Reconstruction of Neolithic Social Life

• Reinforcement Learning
• Internet of Things (IoT)
• Cognitive Robotics
• +۴ مورد دیگر

Iñaki Vazquez Gomez is a Lecturer and Researcher at the University of Deusto , affiliated with the College of Engineering and Department of Computing, Electronics and Communication Technologies . He holds a PhD in Computer Science and Artificial Intelligence (University of Deusto and Lancaster University) and served as Director of Deusto Institute of Technology (2020-2023). His research focuses on Reinforcement Learning , Internet of Things , and Cognitive Robotics , with applications in human-robot interaction and ambient intelligence. Member of European Internet of Things Council Founder of technology startups Editorial board member of International Journal of Ambient Computing and Intelligence His 15 most recent publications (2005-2024) span themes of Autonomous Systems , Context-Aware Computing , and Smart Environments , with subtopics including semantic device communication, adaptive positioning algorithms, and collaborative robotics architectures. 2024: Adaptive Robot Behavior via Reinforcement Learning 2021: Gesture Recognition for Resource-Constrained Devices 2015: Context-Aware Service Matching in AAL Scientific honors include: X Premio UD-Banco Santander de Investigación (2015) Sexenio de Investigación (2018-2025) Profesor Doctor de Universidad Privada (2009-2025) He supervised PhD students like Asier Gonzalez Santocildes and Ignacio Fidalgo Astorquia, while leading grants such as AI-Driven Cognitive Robotics (2021-2024) and Quantum Technologies (2021-2022). His work includes developing middleware for smart spaces and founding the Sentient Things project for self-adapting environmental systems.

• Mechanical Engineering
• Machine Design
• Robotics
• +۵ مورد دیگر

Pedro Ortiz Morón is a faculty member at the Barcelona East School of Engineering (EEBE), Universitat Politècnica de Catalunya (UPC), where he is affiliated with the Department of Mechanical Engineering. He teaches MACHINE DESIGN and supervises numerous Final Degree Projects, demonstrating active engagement in engineering education and applied research. Research Interests: His work centers on mechanical design, with emphasis on robotics, vehicle dynamics, automation, and educational tools. Projects under his supervision span from robotic prostheses to Formula Student vehicles, indicating a strong focus on practical, hands-on engineering solutions. His interest in Arduino-based systems highlights integration of electronics and mechanics in teaching and prototyping. Publication Trends: The recent articles reflect a consistent focus on mechanical systems design, optimization, and innovation in both industrial and assistive applications. There is a clear emphasis on student-driven projects in automotive, robotics, and educational contexts, often involving prototyping and real-world implementation. Scientific Awards: No awards or honors are mentioned in the provided text. Advising and Grants: Ortiz Morón has supervised at least 20 Final Degree Projects between 2017 and 2024, serving as primary advisor. His students have worked on diverse topics including hydraulic lifts, robotic prostheses, and vehicle dynamics. There is no mention of research grants or funding in the text. Labs and Teams: While no specific lab or research team is named, his involvement in Formula Student and Arduino-based educational tools suggests collaboration with student engineering teams and possibly laboratory development for teaching purposes.