جستجوی استاد راهنمای دانشگاهی

Ramón Luis Rizo Aldeguer is a University Professor in the Department of Computer Science and Artificial Intelligence at the Higher Polytechnic School of the University of Alicante. He has held this position since 1996 and continues to be actively involved in teaching and research as recently as 2025. He previously served in various leadership roles including Director of the Department of Computer Science and Artificial Intelligence (1997-2004) and Deputy Director of the Institutional Projects Area at the University of Alicante (2012-2020). His educational background includes a PhD in Computer Science from the Polytechnic University of Valencia (1992) and a degree in Mathematics from the University of Valencia (1977). He has been a member of the Spanish Association for Artificial Intelligence since 1990 and has held leadership positions within the organization. Rizo Aldeguer's research focuses on artificial intelligence with particular emphasis on swarm robotics, UAV deployment, and deep reinforcement learning. His work bridges theoretical foundations with practical applications in robotics and autonomous systems. He has made significant contributions to educational methodologies, particularly in integrating computational tools into engineering education. His publication record shows a consistent trajectory in swarm intelligence and robotics, with recent publications (2018-2023) demonstrating increasing sophistication in applying deep reinforcement learning to complex multi-agent systems. His research spans both theoretical advancements and practical implementations in robotics and autonomous systems. Fifteen five-year research periods (trienios) Six teaching merit periods Five six-year research periods (sexenios) President of Organizing Committee of VI Conference of Spanish Association for Artificial Intelligence (1995) President of Scientific Committee of CAEPIA (1999) Rizo Aldeguer has supervised 14 doctoral theses, with many receiving the highest honors (SOBRESALIENTE CUM-LAUDE). He has participated as a researcher in over 30 competitive public research projects, serving as principal investigator in 12 of them. His educational projects include innovative teaching methods and the development of computational tools for engineering education. He has been instrumental in the design and implementation of computer science programs at both the University of Alicante and the Polytechnic University of Valencia. He is a founding member of the University Institute for Computer Research and directed the Industrial Computing and Artificial Intelligence research group from 1992 to 2004. His current research continues to focus on swarm robotics and intelligent systems, with active participation in the Valencian Graduate School and Research Network of Artificial Intelligence since 2021.

• Artificial Intelligence
• Computer Science
• Swarm Robotics
• +۵ مورد دیگر

Dr. Palanichamy Naveen is an Assistant Professor in the Department of Electronics and Communication Engineering at Dr. N.G.P. Institute of Technology, India. His research lies at the intersection of computer vision, machine learning, and signal processing, with applications in healthcare, control systems, and academic policy. He actively collaborates with researchers globally, including institutions in the Czech Republic, and has contributed over 60 publications to academic literature. His research interests span Computer Vision , Deep Learning , Image and Video Processing , Signal Processing , and Optimization Algorithms . He also explores interdisciplinary topics such as academic performance appraisal and sports analytics. His work reflects a strong commitment to both technical innovation and institutional improvement in engineering education. The recent trend in his publications demonstrates a dual focus: applying AI to solve real-world problems in medical imaging and industrial control, while also contributing to academic governance through models for faculty evaluation and research incentivization. This blend of technical and administrative research highlights his broad impact in engineering academia. Scientific Contributions: Developed lightweight transformer models for retinal disease detection from OCT scans Proposed novel bio-inspired optimization algorithms for PID controller tuning Designed frameworks for faculty performance appraisal and research contribution assessment Created a relative grading system for ODI cricket player rankings Dr. Naveen is actively involved in academic discourse and knowledge dissemination through preprint platforms and peer-reviewed journals. While no formal advising or grant information is available in the text, his extensive publication record and international collaborations suggest active mentorship and research leadership. He is also engaged with academic networks like SciProfiles and Multidisciplinary Digital Publishing Institute, contributing to the broader scholarly ecosystem.

• Computer Vision
• Machine Learning
• Deep Learning
• +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.

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

Carme Torras is a Research Professor at the Institute of Robotics and Industrial Informatics (IRI), a joint center of the Polytechnic University of Catalonia (UPC) and the Spanish National Research Council (CSIC), affiliated with the Faculty of Informatics of Barcelona (FIB). She leads the research group in assistive robotics, focusing on ethical, human-centered robotic systems. With over 400 scientific publications, she has made pioneering contributions in robotics, neurocomputing, and artificial intelligence. PhD in Computer Science – Universitat Politècnica de Catalunya Master in Computer Science – University of Massachusetts Bachelor in Mathematics – University of Barcelona Her research interests span robotics , artificial intelligence , neurocomputing , and ethics in digital technologies . She emphasizes the societal impact of AI, promoting ethical principles and public engagement. Her recent articles and literary works explore human-robot interaction, assistive systems, and the emotional dimensions of technology. The analysis of her recent publications reveals a strong trend toward interdisciplinary research combining technical innovation with ethical reflection. Her work integrates robotics with cognitive science, literature, and social responsibility, emphasizing open science and inclusive design. She advocates for an open laboratory model in assistive robotics to foster collaborative innovation. Nit de la Robòtica Award (2022) Pedrolo Prize for 'La mutación sentimental' Ictineu Prize for 'La mutación sentimental' and 'Enxarxats' Carme Torras has supervised 20 doctoral theses and led 17 European research projects, demonstrating significant leadership in both academic mentoring and large-scale collaborative research. She is deeply involved in science communication, using fiction to explore ethical dilemmas in AI. Her vision includes expanding open-access research infrastructure in robotics. She leads the assistive robotics research group at IRI, which focuses on developing intelligent robotic systems for healthcare and personal assistance. The team emphasizes ethical design, human-robot collaboration, and accessibility, contributing to both technological advancement and societal dialogue.

• Robotics
• Artificial Intelligence
• Neurocomputing
• +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.

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

José María Guerrero Rodríguez serves as a Professor in the Department of Automation, Electronics, Architecture and Computer Networks Engineering at the University of Cadiz, Spain. His research is anchored within the TIC138 Electronic and Electromagnetic Design group under the PAIDI Areas for Information and Communication Technologies, focusing on advanced instrumentation systems for space and industrial applications. He completed his doctorate at the University of Cadiz in 2009 with the thesis A contribution to reconfigurability in intelligent instrumentation based on sensors and programmable devices , supervised by Dr. Diego Gómez Vela. His educational background forms the foundation for his expertise in sensor reconfigurability and programmable device integration. Guerrero Rodríguez's research spans Electronics, Embedded Systems, and Space Instrumentation, with significant contributions in magnetic measurement subsystems for CubeSats, low-frequency noise reduction in orbital environments, and neuromorphic sensor design. His work bridges theoretical electromagnetic modeling with practical embedded implementations, particularly in spiking neuron-based movement classification and optical flow algorithms for real-time tracking. Educational innovation is a secondary focus, evidenced by flipped classroom methodologies in analog electronics instruction. Analysis of his 2020-2024 publications reveals three dominant trends: (1) Space instrumentation for CubeSats emphasizing magnetic field measurement accuracy, (2) Novel sensor architectures using asynchronous vision and spiking neurons for flame detection and movement tracking, and (3) Educational technology integration in engineering pedagogy. These areas demonstrate consistent progression from fundamental sensor design to in-orbit validation. No scientific awards were documented in the provided source material. While the source references thesis supervision and funding sections, specific student names, grant details, or advising methodologies remain undisclosed. His research direction suggests ongoing collaboration with space technology initiatives, particularly in low-technology-readiness-level subsystem validation. Guerrero Rodríguez operates within the TIC138 research group, which specializes in electronic and electromagnetic design for aerospace applications. The group's work centers on advancing the technological maturity of measurement systems through CubeSat platforms, with recent focus on in-orbit demonstrators for magnetic field characterization in low-Earth orbit environments.

• Electronics
• Sensor Design
• Space Instrumentation
• +۳ مورد دیگر

Juan Antonio Leñero Bardallo is a Professor at the University of Seville, Faculty of Physics, Department of Electronics and Electromagnetism. His research focuses on bio-inspired microelectronics, event-driven vision sensors, and CMOS integration techniques. Research Group: MICROELECTRÓNICA ANALÓGICA Y DE SEÑAL MIXTA Key Projects: SAMANTA2 (robotic vision), CAVIAR (event-based vision), VULCANO (event-driven imaging) His work spans asynchronous image sensors, thermography for medical diagnostics, stacked diodes for energy harvesting, and neuromorphic engineering. Recent publications highlight low-power sun sensors, self-powered imaging systems, and thermographic applications in dermatology. He has contributed to books on analog electronics and radiation detection. Patents include solar position sensors and electron energy detectors for scanning electron microscopy. His teaching subjects cover experimental techniques, integrated sensor design, and bio-inspired algorithms.

• Microelectronics
• Image Sensors
• Bio-inspired Algorithms
• +۳ مورد دیگر

Stefano Discetti is a Full Professor in the Department of Aerospace Engineering at Universidad Carlos III de Madrid, leading the Aerospace Engineering Research Group. His work bridges experimental fluid dynamics, machine learning, and flow control. Key research themes include turbulence characterization, heat transfer enhancement, and advanced measurement techniques like PIV/PTV. He has developed data-driven methods for flow estimation, sensor placement optimization, and physics-informed neural networks. Research Trends from his publications show a focus on: Machine learning for turbulent flow reconstruction (GANs, CNNs, KNN) Non-intrusive sensing from wall measurements Manifold learning and reduced-order modeling Heat transfer control via plasma actuators and passive structures Time-resolved diagnostics using hybrid experimental/numerical approaches Projects include principal roles in EU and national grants like NEXTFLOW (2021-2026) and EXCALIBUR (2023-2026), with industry collaborations at Airbus and TU Delft.

• Aerodynamics
• Turbulent Flow Analysis
• Particle Image Velocimetry (PIV)
• +۹ مورد دیگر

Eduardo Castelló Ferrer is an Assistant Professor of Robotics & AI at IE University (Spain), affiliated with the School of Science and Technology. He holds a PhD in Robotics Engineering from Osaka University (Japan) and was a Marie Curie Fellow at MIT Media Lab (USA). His research integrates robotics with blockchain technology to enhance security, autonomy, and cooperation in robotic systems. He leads the Cyber-Physical (CyPhy) Life research group and teaches courses on robotics, blockchain, and AI. Education: PhD in Robotics Engineering, Osaka University (2016) M.Eng. in Robotics Engineering, Osaka University (2011) BSc in Intelligent Systems, University of Portsmouth (2007) Research Interests: Dr. Castelló focuses on secure decentralized robotics systems, economic autonomy for robots, and blockchain applications in swarm robotics. His work addresses challenges like Byzantine fault tolerance, trustless collaboration, and autonomous decision-making. Notable projects include Gaka-chu (a self-employed robot artist) and iTrash (decentralized waste management). Awards: Marie Curie Fellowship (MIT Media Lab, 2016–2019) Teaching: Courses include Robotics and Automation, Blockchain & Fintech, and Technology Trends in Customer Experience. He emphasizes practical skills using tools like ROS and blockchain frameworks. Labs & Projects: Active projects include urban swarm systems, robotic economic autonomy, and secure multirobot cooperation. His work is published in top journals like Science Robotics and IEEE Transactions on Robotics .

• Robotics
• Blockchain Technology
• Swarm Robotics
• +۳ مورد دیگر

Josefa Gómez Pérez is a Professor in the Department of Computer Science at Universidad de Alcalá. She holds a PhD in Computer Science from the same institution (2011), focusing on CAD tools for electromagnetic analysis of complex structures under supervision of Dr. Manuel Felipe Cátedra Pérez and Dr. Iván González Diego. Her research spans multiple areas including antenna design optimization, numerical methods for engineering problems, gamification in education, medical image analysis, and computer vision applications. She is affiliated with research groups such as the Climate Physics Group (CPG), Group of Advanced Numerical Techniques (GTNA), and TIFyC (Information Technologies for Training and Knowledge). Her work frequently integrates bio-inspired algorithms and web-based tools for solving engineering challenges. Key areas of contribution include developing simulation tools for radio propagation using OpenStreetMap data, optimizing antenna positioning with genetic algorithms, and enhancing educational engagement through gamified platforms. She has also explored interdisciplinary topics like class imbalance mitigation in medical AI and gender perspectives in engineering career choices. Josefa has authored numerous publications in top venues, with recent focus on AI-human interaction, 3D reconstruction techniques, and educational technology innovations. Notable tools she has developed include the NewFasant Suite, DSEXAMS automated questionnaire system, and LearningRlab educational package.

• Computer Science
• Artificial Intelligence
• Antenna Engineering
• +۷ مورد دیگر

Ignacio Pérez Hurtado De Mendoza is a Researcher affiliated with the Department of Sport and Computer Science at the University of Seville . His work primarily focuses on Membrane Computing , Computer Science , and Biology and Other Natural Sciences , with specific emphasis on GPU-accelerated simulations , bio-inspired algorithms , and computational modeling of ecosystems . Developed the P-Lingua toolkit for agile membrane computing Contributed to GPU-based simulators for Spiking Neural P Systems and Evolving P Systems Applied membrane computing to robotic motion planning and social navigation systems Co-author of foundational software tools like MeCoSim and MAREX His publications span Computer Science and Biology , with a focus on parallel computing , ecological modeling , and algorithm efficiency . While specific awards are not documented, his collaborations with leading researchers in membrane computing highlight his academic impact.

• Membrane Computing
• Computer Science
• Biology and Other Natural Sciences
• +۳ مورد دیگر

Maria Jose Blesa Aguilera is a Professor at the Department of Computer Science, Polytechnic University of Catalonia, affiliated with the ALBCOM research group (Algorithms, Bioinformatics, Complexity, and Formal Methods). She has 198 academic activities recorded, including publications, conference papers, and teaching innovation projects. Research focus spans algorithms, bioinformatics, network science, and educational technology. Active in competitive R+D+I projects like Modelos y Técnicas para el Procesamiento de Información a Gran Escala . Collaborates on network alignment algorithms with Christian Blum and others, contributing to AntNetAlign software. Key conferences: European Conference on Operational Research, ANTS, CSEDU. Recent publications address data reduction in color quantization, network alignment via ant colony optimization, influence propagation in social networks, and educational well-being metrics. Her work intersects theoretical computer science with practical applications in multimedia systems, swarm intelligence, and educational innovation. She holds an ORCID (0000-0001-8246-9926) and participates in open-access initiatives. Contact: mjblesa@cs.upc.edu .

• Algorithms
• Bioinformatics
• Computational Complexity
• +۴ مورد دیگر

Sonja Wogrin is an Associate Professor in the Department of Industrial Organization at the Higher Technical School of Engineering, Pontifical University of Comillas. She holds a Ph.D. in Electricity Markets from the Instituto de Investigación Tecnológica (IIT) at the same university and has been a researcher there since 2009. Her work focuses on decision support systems for energy systems, optimization techniques, and generation capacity expansion planning. Education: B.Sc. in Technical Mathematics (Graz University), M.Sc. in Computation for Design and Optimization (MIT), Ph.D. in Electricity Markets (IIT-Comillas) Affiliations: Researcher at IIT-Comillas, Associate Professor in Industrial Organization Her research interests include energy systems modeling , optimization (particularly bilevel programming ), and electricity storage . She has developed open-source tools like the LEGO model for low-carbon expansion and analyzed market feedback in transmission planning. Her work addresses technical constraints in generation commitment, inertia in low-carbon grids, and policy implications of renewable integration. Recent article trends show a focus on gas pipeline MILP modeling , thermal demand simulations , and convex optimization in imperfect markets . She emphasizes stochasticity , multi-objective frameworks , and GIS-based siting for renewables. Scientific awards include the Iberdrola Spain Research Grant , 4th EASE Student Award (Belgium), and multiple mobility grants from Erasmus and NILS. As an advisor, she has supervised four Ph.D. theses on transmission planning , European gas markets , and co-optimized storage . Her grants include EU-funded projects like STEXEM and hydrogen roadmap development for Colombia with the IDB. She collaborates with institutions such as MIT, Johns Hopkins, and NTNU through research stays and contributes to IEEE Transactions , Applied Energy , and European Journal of Operational Research as a reviewer.

• Energy Systems Modeling
• Optimization
• Generation Expansion Planning
• +۲ مورد دیگر

Rodrigo Castellanos Garcia de Blas is an Assistant Professor in the Aerospace Engineering Department at Universidad Carlos III de Madrid (UC3M). His research spans interdisciplinary domains including fluid dynamics, machine learning, and thermal engineering, with applications in aerospace systems. Affiliation: Universidad Carlos III de Madrid Research Areas: Aeronautics, Turbulent Flow Control, Machine Learning Research Focus : Investigates aerodynamic surrogate modeling, convective heat transfer enhancement, and plasma actuator-based flow control in turbulent boundary layers. His work integrates computational methods with experimental validation. Publications Trends : Recent works emphasize machine learning for fluid flow control, aerothermal optimization, and experimental analysis of turbulent flows using advanced manufacturing techniques. Contact : rcastell@ing.uc3m.es | ORCID

• Aeronautics
• Fluid Dynamics
• Machine Learning
• +۷ مورد دیگر

Dr. Apostolos Argyris is an Associate Professor at the Department of Physics, University of the Balearic Islands (UIB), and a member of the Institute for Cross-Disciplinary Physics and Complex Systems (IFISC), a joint UIB-CSIC institute. He holds the Spanish I3 certification with three research merits (sexenios), four teaching merits (quinquenios), and seven trienios of academic experience. His academic background includes: B.Sc. in Physics from Aristotle University of Thessaloniki (1999) M.Sc. in Physics (Microelectronics & Optoelectronics) from University of Crete (2001) Ph.D. in Informatics & Telecommunications from National and Kapodistrian University of Athens (2006) His research focuses on complex photonic systems and nonlinear dynamics, with specific interests in coupled laser networks, chaotic oscillators, neuromorphic information processing, unconventional optical communications, photonic computing, optical chaos applications, and physical random number generation. His work combines theoretical models with experimental photonics to develop next-generation computing and communication technologies. Publication analysis reveals a dominant focus on photonic neuromorphic computing, optical reservoir systems, high-speed fiber communications, and interdisciplinary physics frameworks. Recent works demonstrate increasing emphasis on hardware implementations of machine learning concepts using photonic substrates and silicon devices. Awards and recognitions include: TR35 Young Innovators Award 2006 from MIT Technology Review ERICSSON Award of Excellence in Telecommunications (2006) He leads research projects including: INFOLANET (National Project 2023-2026): Information processing with coupled laser networks POST-DIGITAL Plus (EU Commission 2025-2029): Post-digital computing training network As principal investigator of the consolidated research group 'Fotónica Compleja y Sistemas Neuroinspirados' (FoCo-SiNeu), he directs laboratory activities in neuromorphic photonics and complex systems. He currently supervises doctoral candidates in the Physics PhD program and teaches undergraduate/graduate courses including Medical Physics, Complex Photonics, and General Physics Laboratory.

• Complex Photonics
• Nonlinear Dynamics
• Optical Communications
• +۴ مورد دیگر