جست‌وجوی استاد و پژوهشگر

• Artificial Intelligence
• Optimization
• Classification
• +۳ مورد دیگر

Lucas Martínez Bernabéu is an Associate Professor in the Department of Computer Science and Artificial Intelligence at the University of Alicante , where he also serves as a senior technician at the University Institute of International Economics . His work bridges artificial intelligence with geographic analysis. Academic Training Doctorate in Information Society Technologies (2012) Computer Engineering (2003) His research focuses on AI applications for solving optimization and classification problems in functional regionalisation , particularly local labor markets and spatial interaction patterns. Recent publications demonstrate methodological advancements and critical evaluations of data sources like mobile phone records for geographic analysis. Teaching includes courses on Intelligent Systems and Programming 1 , delivered across undergraduate programs in Robotics Engineering and Computer Engineering with Business Administration. Over the last 10 years, he has taught these subjects multiple times at the University of Alicante. Research projects involve collaborations with international institutions and organizations like the Office for National Statistics and UTE Cercle Territorio Paisaje y Arquitectura , funded by Spanish ministries and local entities. Notably, he contributed to studies on mobile phone data validation for commuting analysis and adaptive evolutionary algorithms for labor market delineation. His publications and conference participation (e.g., NECTAR Conference 2024, SCORUS Conference 2024) highlight cross-disciplinary work at the intersection of AI, geography, and policy. No formal doctoral students have been supervised in the past five years.

• 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) .

Juan Andrade Cettoمشاهده پروفایل

پژوهشگر

• Mobile Robotics
• Computer Vision
• Neuromorphic Systems
• +۳ مورد دیگر

Juan Andrade Cetto is a Researcher at the Institute of Robotics and Industrial Informatics (IRI), part of the Spanish National Research Council (CSIC). He previously served as Director of IRI from 2014 to 2020. His expertise spans mobile robotics, computer vision, and neuromorphic systems. He holds a BSEE from CETYS University (1993), an MSEE from Purdue University (1995), and a PhD in Robotics from the Universitat Politècnica de Catalunya (UPC, 2003), recognized with the EURON Georges Giralt Best PhD Award in 2005. Research Interests: - Mobile Robotics and Autonomous Systems - Event-based Vision and Neuromorphic Sensors - Real-time Sensor Fusion and SLAM - Control Systems for Energy Conversion (e.g., PEM Fuel Cells) - Probabilistic Methods for Robotics and Computer Vision Recent Research Trends: His work emphasizes neuromorphic computing and event-based systems for robotics applications, including optical flow estimation, ego-motion tracking, and real-time SLAM. Collaborations include EU projects like ALLIES (AI for Sustainable Development Goals) and RAMON LLULL (AIRA Postdoctoral Programme). He leads the BOMBUS project (Perception and Navigation for Agile Robotics, 2024–present). Scientific Awards: EURON Georges Giralt Best PhD Award 2005 Grants & Leadership: Principal Investigator in multiple national/EU projects including BOMBUS (CSIC) and ALLIES (European). Advising: - Current Students: José Agustín Aguilar Plazaola (Fuel Cell Control), Raquel De Frutos Arranz (Event Camera-based Collision Avoidance) - Past Students: Not explicitly listed in provided text. Labs & Teams: Active in IRI’s Robotics and Industrial Informatics research groups, focusing on applied robotics and sensor systems.

Juan Jesús García Domínguezمشاهده پروفایل

استاد

• Electronics Engineering
• Sensor Technology
• Biomedical Engineering
• +۳ مورد دیگر

Juan Jesús García Domínguez is a Professor in the Department of Electronics at the Universidad de Alcalá. His primary research focuses on sensor systems, wearable technology, and their applications in healthcare and smart environments. He leads the GEINTRA research group, dedicated to Electronic Engineering Applied to Intelligent Spaces and Transport. Dr. García Domínguez holds a PhD from Universidad de Alcalá (2006) with a thesis on infrared obstacle detection in railway environments. His research interests include biomedical sensors, inertial measurement units (IMUs), indoor localization systems (BLE/UWB), and elderly care technology. He has pioneered work on non-invasive behavioral monitoring, gait analysis, and wearable devices for vulnerable populations. Recent projects involve developing systems for activity recognition, fall detection, and telemedicine applications. Key contributions include the FrailWear wearable IoT device, BLE-based behavioral analytics frameworks, and multi-sensory systems for long-term patient monitoring. His work bridges electronic engineering with healthcare, emphasizing practical solutions for aging-in-place and smart transportation safety. Teaching includes digital electronics and active learning methodologies in engineering education. Dr. García Domínguez has published extensively on topics like acoustic positioning systems, IMU calibration algorithms, and NILM techniques for energy management. His lab focuses on translating sensor data into actionable insights for medical and environmental applications.

Lorenzo Steccanellaمشاهده پروفایل

پژوهشگر

• Reinforcement Learning
• Artificial Intelligence
• Computer Vision
• +۵ مورد دیگر

Lorenzo Steccanella is a Postdoctoral Researcher at Universitat Pompeu Fabra in Barcelona, Spain, specializing in Reinforcement Learning and Artificial Intelligence. He holds a Ph.D. in Reinforcement Learning from the same institution (2023), focusing on Hierarchical Reinforcement Learning and Representation Learning. His research emphasizes long-horizon decision-making, generative vision models, and applications in autonomous systems. **Education**: Ph.D. in Reinforcement Learning (Universitat Pompeu Fabra, 2023). **Research Interests**: Hierarchical Reinforcement Learning, Representation Learning, Computer Vision for Robotics, Multi-Agent Systems, and Autonomous Navigation. He has contributed to projects such as obstacle detection for autonomous boats (Blue Brain Project/EPFL) and localization algorithms for mobile robots (University of Verona). **Articles Trends**: His work spans Reinforcement Learning theory, computer vision applications in robotics, and multi-agent coordination. Recent publications emphasize hierarchical methods and representation learning, while earlier work includes path planning for articulated vehicles and Petri net-based multi-robot systems. **Awards**: No scientific awards explicitly mentioned. **Labs/Teams**: Current affiliation with Universitat Pompeu Fabra's AI/ML group. Previously contributed to the Blue Brain Project (EPFL) and the Intcatch Project at the University of Verona.

Antonio de la Olivaمشاهده پروفایل

استاد

• 5G Networks
• Software-Defined Networking (SDN)
• Network Functions Virtualization (NFV)
• +۴ مورد دیگر

Antonio de la Oliva is a Professor at the University Carlos III de Madrid, affiliated with the School of Engineering. His primary research focuses on advanced networking technologies, including 5G/6G, Software-Defined Networking (SDN), Network Functions Virtualization (NFV), and mobile edge computing. He leads and contributes to major EU-funded projects such as 5G-CORAL, 5G-Transformer, and 5G-Crosshaul, which aim to integrate and optimize transport networks for industry verticals. He has supervised PhD students like Maria Isabel Sanchez Bueno (awarded UC3M's Special PhD Award) and Sergio Gonzalez Diaz. His work spans experimental evaluations of SDN-based service provisioning, network slicing, and deterministic communications for Industry 4.0. He actively engages in standardization efforts (e.g., IEEE 802.21, IETF) and collaborates with industry partners like Ericsson, Nokia, and Telecom Italia. His research also explores edge robotics, digital twins, and AI integration in networked systems. Key projects include developing the 5G-Crosshaul architecture for integrated fronthaul/backhaul networks and the SLICES-Madrid multi-domain TSN framework. He emphasizes practical applications in healthcare, emergency response, and industrial automation, leveraging edge-fog-cloud architectures.

Matteo Papiniمشاهده پروفایل

استادیار

• Reinforcement Learning
• Machine Learning
• Artificial Intelligence
• +۳ مورد دیگر

Matteo Papini is an Assistant Professor at Politecnico di Milano, affiliated with the Department of Electronics, Information, and Bioengineering. He is a member of the Artificial Intelligence and Robotics Lab and an active researcher in reinforcement learning. His work focuses on sequential decision-making under uncertainty, policy optimization, and safe exploration. Education: PhD in Information Technology (cum laude, 2021) from Politecnico di Milano; M.Sc. and B.Sc. in Computer Engineering from the same institution. Research Interests: Reinforcement Learning Policy Gradient Methods Contextual Bandits Safe and Efficient Exploration Key Awards: NeurIPS 2018 Oral Presentation, Juan de la Cierva-Formación Grant, and multiple travel awards. He has authored over 20 peer-reviewed papers in top conferences like NeurIPS, ICML, and COLT. Teaching: Currently teaching Algorithms and Advanced Deep Learning. Served as a Teaching Assistant for multiple AI and machine learning courses. Service: Local Co-chair of ALT 2025, Area Chair for NeurIPS and ICML, and Action Editor for TMLR. Labs/Teams: Member of the Artificial Intelligence and Robotics Lab at Politecnico di Milano and part of the ELLIS network.

• Machine Learning
• Computer Vision
• Robotics
• +۵ مورد دیگر

Roberto Javier López Sastre is an Associate Professor of Signal Theory and Communications at the University of Alcalá. He holds a Ph.D. from the same institution (2010), focusing on 'Visual vocabularies for category-level object recognition' under Dr. Saturnino Maldonado Bascón's supervision. His research spans machine learning, computer vision, robotics, and astrophysics. Key areas include Bayesian neural networks for stellar dating, semantic navigation in robotics, and AI-driven medical assistive technologies. Affiliation: Department of Signal Theory and Communications, University of Alcalá Research Group: GRAM (Multisensorial Recognition and Analysis Group) His work interfaces computational methods with real-world applications, such as assistive robotics for neurodevelopmental disorder patients and deep learning models for astrophysical parameter estimation. Recent contributions include semantic segmentation-driven navigation systems and Bayesian approaches to black hole solutions. Publications emphasize interdisciplinary applications of AI, including live video processing, continual learning frameworks, and physics-informed neural networks. Ongoing research explores the intersection of robotics, healthcare, and astrophysics through collaborative projects. López Sastre's GRAM group focuses on multisensory data analysis for recognition and navigation challenges. His technical expertise spans signal processing, probabilistic modeling, and embedded AI systems.

Antonio Cubillo Graciánمشاهده پروفایل

دانشیار

• Medical Oncology
• Gastrointestinal Tumors
• Sarcomas
• +۴ مورد دیگر

Antonio Cubillo Gracián is an Associate Professor of Clinical Teaching at CEU-San Pablo University and holds multiple leadership roles at HM CIOCC, including Director of the Medical Oncology Service, Healthcare, and Teaching. He leads units focused on Digestive Tumors, Sarcomas, and Head/Neck Tumors, and directs the Master's in Clinical and Applied Research in Oncology at UCJC's Faculty of Health Sciences. His academic background includes a Medicine degree (1994), a PhD in Medicine (2002), and specialized training in Palliative Care and Medical Oncology. Affiliations: HM CIOCC: Director, Medical Oncology Service Lead UCJC: Academic Director of Oncology Master's Program MD Anderson Cancer Network: Collaborating Oncologist SEOM, TTD, and GEIS: Active Membership Research Interests: Gastrointestinal tumors, sarcomas, early drug development, and personalized oncology. He focuses on neoadjuvant treatments, biomarker-driven therapies, and clinical trial design. His work bridges translational research and clinical practice, emphasizing molecular biology and patient outcomes. Publications & Awards: Over 100 peer-reviewed articles, including high-impact studies in J Clin Oncol , New England Journal of Medicine , and Clinical Cancer Research . Recognized with the 2019 CEU Quality Teaching Prize and the 2018 Innovation in Teaching Award for his virtual oncology education platform. Grants & Leadership: Coordinator of START Madrid Program (early drug development) Supervised 15+ Master's theses and doctoral projects Member of the MD Anderson Cancer Center Network Labs & Teams: Leads multidisciplinary teams in translational oncology at HM CIOCC and collaborates internationally on sarcoma and gastrointestinal cancer research initiatives.

Álvaro Hernández Alonsoمشاهده پروفایل

استاد

• Mobile Robotics
• Multisensor Integration
• Ultrasonic Sensory Systems
• +۵ مورد دیگر

Álvaro Hernández Alonso is a Full Professor in the Department of Electronics at the University of Alcalá (UAH). He previously served as Secretary of the Electronics Department and coordinated the GEINTRA research group (2021–2023), which includes 24 researchers and over 25 active projects. His research focuses on mobile robotics, multisensor integration, ultrasonic systems, NILM techniques, FPGA implementations, and electronic technologies for transport. Education: PhD in Electronics and Systems (University Blaise Pascal & UAH) Electronics Engineering Degree (UAH) Research interests include positioning systems (infrared, ultrasonic, visible light), energy monitoring for assisted living, and embedded hardware architectures. He has secured €1.9M in funding (public and private) over the past decade, leading 4 projects as Principal Investigator. His work has produced 41 indexed journal papers (25 Q1), 6 patents, and 65 conference contributions. Awards: Best Thesis Awards at UAH for two doctoral students under his supervision. He has advised 30+ student theses and 9 doctoral dissertations, many in international co-supervision programs. Funding highlights: 19 public projects (€900k total) and 10 private projects (€1.1M total). His research has achieved 4 consecutive positive evaluations (1997–2020) from Spain's National Research Evaluation Commission.

Joaquin Perez Solerمشاهده پروفایل

دانشیار

• Optical Wireless Communication
• Visible Light Communication (VLC)
• Free-Space Optics (FSO)
• +۱۲ مورد دیگر

Joaquín Pérez Soler is an Associate Professor in the Department of Electronic Engineering at the School of Engineering, University of Valencia, Spain. His academic work integrates advanced telecommunications research with innovative engineering education practices. He is actively involved in research groups focused on Communications and Digital Systems Design (DSDC) and Human-Robot Interaction (HRI). His research spans optical wireless communication, visible light communication (VLC), free-space optics (FSO), radio-over-fiber (RoF), V2X communications, and electromagnetic interference. Additionally, he has a strong interest in educational technologies, particularly the use of robotics and software-defined radio in teaching. His work also extends to societal challenges, including the gender digital divide and STEAM education initiatives. His recent publications reflect a dual focus: advancing hybrid optical-wireless communication systems and innovating in engineering pedagogy. Themes include VLC positioning for industrial V2V, turbulence effects in FSO, and hands-on learning via robotic platforms. His work increasingly bridges technical innovation with social impact, particularly in digital inclusion and gender equity in technology education. Deployment of Visible Light Positioning techniques at low data rate for V2V industrial communications (2024) Evolution of OWC: A Collaborative Contour Across Various Sectors (2024) VLC positioning in low data rate for V2V communication. (2024) Análisis del estado de la digitalización y la brecha digital de género del sector empresarial de la Comunidad Valenciana (2024) Transformación Digital y Equidad de Género en la Formación del Profesorado de Magisterio (2023) Dr. Pérez Soler has contributed to educational innovation through projects like HOP LEARNING and Girls4STEM, promoting inclusive and hands-on learning in engineering. He has been involved in multiple teaching initiatives using software-defined radio and mobile robotics, assessing their impact on student engagement and learning outcomes. While no specific grants are mentioned, his sustained publication output and leadership in educational projects suggest active participation in funded research and teaching development programs. He leads and contributes to interdisciplinary research teams, particularly within the DSDC and HRI groups, focusing on both technical and educational aspects of engineering. His work fosters collaboration between telecommunications engineering and pedagogical innovation, aiming to prepare students for modern technological challenges while promoting equity and accessibility in STEM fields.

• Education Theory
• Human Rights Education
• Educational Technology
• +۳ مورد دیگر

María José Albert Gómez is a Professor at the National University of Distance Education (UNED), affiliated with the Department of Educational Theory and Social Pedagogy. Her research focuses on education theory, human rights education, educational technology, and sociocultural integration. She has contributed extensively to STEM education, motivational models, and the use of technology in teaching. She has directed doctoral theses, including "Training and Local Development: Analysis of the Implementation of Active Employment Policies." Her work spans articles, books, and collaborative projects, emphasizing innovative pedagogical approaches and the integration of technology in diverse educational contexts. Her research interests include educational robotics, motivation in learning, and ethical education, with a particular focus on using digital tools for human rights education and preventing cyberbullying. She has also explored the application of remote laboratories and assessment strategies in higher education. María has collaborated in international projects such as the G-eLios group and has published in journals like IE Communications and Ibero-American Journal of Learning Technologies . Her contributions to educational innovation include proposals for training programs in employability and entrepreneurship, leveraging mobile learning technologies. María’s work also addresses societal challenges, such as the integration of migrants and the impact of globalisation on education.

• Biomedical Signal Processing
• Embedded Systems
• FPGA Hardware Implementation
• +۷ مورد دیگر

Jose Vicente Frances Villora is an Associate Professor in the Department of Electronic Engineering at the School of Engineering, University of Valencia, Spain. He is an active researcher in digital systems and biomedical signal processing, with a strong focus on real-time embedded systems and hardware acceleration. His research interests include: Biomedical Signal Processing, particularly ECG and microelectrode recordings FPGA-based hardware implementation of neural networks and real-time algorithms Machine learning applications in healthcare, including arrhythmia detection and Parkinson’s disease treatment Neuromorphic computing and spiking neural networks Digital signal processing in embedded and real-time systems The analysis of his recent publications (2017–2015) reveals a consistent focus on leveraging machine learning—especially KNN and neural networks—for clinical applications such as ventricular fibrillation detection and deep brain stimulation. A significant portion of his work emphasizes hardware implementation on FPGAs, aiming to achieve real-time performance and low resource consumption in medical and robotic systems. He has contributed to educational materials, including textbooks and OCW resources, and supervises academic theses. While no specific scientific awards are mentioned in the provided text, his sustained publication output and integration of theory with hardware systems underscore his technical expertise. He advises students in thesis work and has supervised doctoral research, though specific student names are not listed. His research is supported by practical applications in medical diagnostics and robotics, and he is affiliated with the GPDD (Group for Digital Design and Processing), which focuses on digital system design and processing. He is actively involved in laboratory development, including a remote laboratory for industrial robots, and his team works on co-design environments for neural network hardware, FPGA acceleration, and real-time biomedical systems.

• Geolocation Technology
• Sensor Fusion
• Smartphone Navigation Systems
• +۳ مورد دیگر

Amjad Hussain is a researcher at the Faculty of Engineering , University of Deusto , specializing in geolocation technology and sensor fusion systems. His work focuses on improving smartphone navigation through advanced algorithms like Factor Graph Optimization (FGO) and Kalman Filtering (KF). Email: amjad.hussain@deusto.es Research Interests : - GNSS-PDR fusion for high-precision positioning - Comparative analysis of filtering algorithms - Mobile computing for real-time navigation systems Publication Trends : His recent works (2023-2024) explore optimization techniques for pedestrian navigation, emphasizing accuracy under diverse movement patterns and sensor error conditions.

José María Conejeroمشاهده پروفایل

دانشیار

• Model Driven Software Development
• Big Data
• Machine Learning
• +۳ مورد دیگر

José María Conejero is an Associate Professor in the Department of Systems Informatics and Telematics at the University of Extremadura, Spain. He holds a PhD in Computer Science (2010) from the same institution. His research focuses on Model-Driven Software Development, Big Data, Machine Learning, Web Engineering, and Educational Technology. He has published over 50 articles in journals and conferences, and actively participates in program committees. Research interests include software modernization, reproducible data science workflows, legacy system migration (e.g., MigraSOA project), and AI applications in education. He co-founded MetrikaMedia, a university spin-off startup. Notable contributions include model-driven approaches for service-oriented architectures, aspect-oriented software metrics, and smart city applications using unmanned systems. His educational contributions involve developing recommender systems for student enrollment decisions and analyzing ChatGPT's impact on engineering education assessment methods. He has received the 'Best Paper' award at JENUI 2023. Key projects include semantic alignment of business processes with web services, aspect mining methodologies, and DSL development for smart home automation (HAAIS-DSL). He has also explored crosscutting concerns in software product lines and technical debt impact analysis.