جستجوی استاد راهنمای دانشگاهی

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

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

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

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

Fabienne Barroso Bujansمشاهده پروفایل

استاد پژوهش

• Polymer Chemistry
• Materials Science
• Nanotechnology
• +۳ مورد دیگر

Prof. Fabienne Barroso Bujans is an Ikerbasque Research Professor at the Donostia International Physics Center (DIPC) and the Materials Physics Center (CFM) in San Sebastián, Spain. Her research group focuses on topological polymers, cyclic polymer synthesis, and their applications in nanodevices and graphene-based hybrid materials. She leads a multidisciplinary team exploring polymer confinement, functionalization, and biomedical applications. Her work emphasizes the synthesis of cyclic polymers using novel methodologies like zwitterionic ring-opening polymerization (ZROP) with B(C6F5)3 catalysts. Key areas include understanding polymer dynamics under confinement, developing luminescent polymer-ruthenium complexes, and creating nanomaterials for energy and biomedical uses. She has supervised numerous students, including PhD candidates and visiting researchers supported by grants like 'Woman for Africa.' Recent research highlights include the 2024 study on glycidol polymerization kinetics and the 2022 work on macrocyclic polymer applications. Her group has pioneered methods to isolate and characterize cyclic polymers using UPLC-MS/MS and dielectric spectroscopy. She actively recruits interns and postdocs, emphasizing organic chemistry and polymer science expertise. Founded research group in 2016 Collaborations with international institutions (e.g., Nnamdi Azikiwe University, Beni-Suef University) Key facilities: DIPC labs in Donostia

Juan Antonio Corrales Ramónمشاهده پروفایل

پژوهشگر ارشد

• Robotics
• Human-Robot Interaction
• Robotic Manipulation
• +۳ مورد دیگر

Juan Antonio Corrales Ramón is a Research Fellow at the University of Santiago de Compostela's CiTIUS laboratory under the prestigious Beatriz Galindo program. Previously, he served as an Associate Professor at Sigma Clermont Engineering School (2014-2020) and conducted research at UPMC/ISIR in France. His academic credentials include a PhD in Automatic Control and Robotics (2011) and a Computer Engineering degree (2005) from the University of Alicante. Dr. Corrales' research centers on robotics with specialized interests in: Human-robot physical interaction for industrial applications Deformable object manipulation and control theory Tactile sensing technologies and sensor fusion Robotic grasping and in-hand manipulation Multi-robot coordination systems His recent publications demonstrate strong focus on adaptive control systems for deformable objects, tactile sensor development, and human-robot collaboration frameworks. He has participated in significant EU projects including: H2020 SoftManBot (soft material handling) H2020 Bots2Rec (recycling robotics) FUI Aerostrip (aerospace applications) Sudoe Commandia (service robotics) Honors include competitive fellowships: FPU Program Fellowship (Spanish Ministry of Education) Beatriz Galindo Program Fellowship (research excellence) At CiTIUS laboratory, he contributes to advanced robotics research with applications in industrial automation, healthcare, and agricultural robotics.

• Intelligent Control Systems
• Fault and Anomaly Detection
• Virtual and Robust Sensors
• +۵ مورد دیگر

Dr. José Luis Calvo Rolle serves as a Professor in the Department of Industrial Engineering at the School of Engineering, Universidade da Coruña (UDC), specializing in Systems Engineering and Automation. His research focuses on intelligent control systems, fault detection, and virtual instrumentation within the Cybernetic Science and Technology Research Group. Teaches across multiple programs including Master's in Industrial Computing and Robotics, Textile Technology, and Occupational Risk Prevention Coordinates thesis supervision across Industrial Engineering and related disciplines His research spans intelligent control systems and optimization, with significant contributions in virtual sensors, fault detection, and AI-driven modeling for industrial applications. Current projects integrate machine learning with industrial processes for naval construction, wastewater treatment, and precision livestock farming, demonstrating cross-disciplinary impact from energy systems to agricultural technology. Recent publications reveal strong trends in applying deep learning to industrial metaverse frameworks, wastewater optimization, and livestock monitoring systems. His work bridges theoretical control engineering with practical implementations in energy management, naval manufacturing, and sustainable agriculture, frequently utilizing dimensionality reduction and one-class classification techniques. Dr. Calvo Rolle actively mentors students through thesis supervision across multiple engineering disciplines and coordinates research projects with diverse funding sources including the European Commission, Spanish National Research Agency, and industrial partners like Navantia and Telefónica. His laboratory work centers on the Cybernetic Science and Technology Research Group, developing testbeds for industrial automation, virtual instrumentation, and AI-driven monitoring systems. Current initiatives include digital twin implementations for naval manufacturing and smart energy management systems.

• Cybersecurity
• Healthcare IT Security
• Machine Learning
• +۴ مورد دیگر

Carlos Cilleruelo Rodríguez is an Associate Professor in the Department of Computer Science at Universidad de Alcalá. He is affiliated with the TIFyC research group ("Information Technologies for Training and Knowledge") and specializes in cybersecurity, healthcare IT security, and authentication systems. His research focuses on dark web analysis, malware detection, and adaptive security frameworks. He earned his Doctorate from Universidad de Alcalá in 2023 with the thesis "A cybersecurity review of healthcare industry 2023" , supervised by Dr. José Javier Martínez Herráiz and Dr. Luis de Marcos Ortega. His work spans ransomware mitigation in manufacturing, continuous authentication architectures (JBCA), and privacy issues in IoT healthcare devices. Recent projects include the ProTego initiative for mobile authentication in eHealth environments. Publications highlight trends in machine learning for behavioral authentication, darknet interconnections, and security in Bring-Your-Own-Device (BYOD) healthcare settings. No scientific awards explicitly mentioned. Labs/teams: Active contributor to the TIFyC group, focusing on cybersecurity education and applied research in critical infrastructure protection.

• Organic Chemistry
• Supramolecular Chemistry
• Peptide Self-Assembly
• +۳ مورد دیگر

Juan Ramón Granja Guillán is a Professor of Organic Chemistry at the University of Santiago de Compostela (USC), affiliated with the Faculty of Chemistry and the Research Center in Biological Chemistry and Molecular Materials (CIQUS). His academic career began with a PhD in Organic Chemistry (1988) under Dr. Antonio Mouriño Mosquera, focusing on vitamin D analog synthesis. His research spans supramolecular chemistry, peptide self-assembly, and nanobiomimetic systems, with a focus on cyclic peptide nanotubes and their applications in drug delivery, membrane interactions, and dynamic materials. Key research areas include the design of modular supramolecular capsules, photo-responsive peptide assemblies, and antimicrobial peptide nanotubes. He has pioneered the CYCLOPEp web platform for cyclic peptide research and explored applications in microfluidic systems and energy transfer materials. His work integrates computational modeling (e.g., MA (R/S) TINI forcefields) with experimental methods to study peptide-membrane interactions and self-healing hydrogels. His publications (2001–2025) highlight innovations in cyclic peptide architecture, anion recognition, and light-driven systems. Granja Guillán collaborates globally, with CIQUS as a hub for interdisciplinary projects in molecular biophysics and nanomaterials. No awards are explicitly listed, but his extensive citation network reflects significant contributions to supramolecular chemistry.

• 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.

• Mechanobiology
• Computational Mechanics
• Soft Matter Physics
• +۷ مورد دیگر

Marino Arroyo is a Professor at the Universitat Politècnica de Catalunya (UPC), affiliated with the Research Center in Numerical Methods in Applied Science and Engineering (LaCàN). He is also associated with CIMNE and the Institute of Bioengineering of Catalunya (IBEC). His work focuses on computational and theoretical modeling of biological systems, particularly epithelial mechanics, active matter, and biomembranes. He holds the Icrea Academia Award, recognizing his contributions to mechanobiology and soft matter physics. Education: PhD in Mechanical Engineering, Northwestern University (2003) BS/MS in Civil Engineering, UPC Postdoc at Caltech with Michael Ortiz (2003-2004) Research Interests: Combines mathematical modeling, mechanics, and computations to study small-scale material behavior and biological systems. Current focus includes cell/tissue mechanobiology, active living materials, and bio-inspired materials. Key themes are nonlinear mechanics of 2D materials (graphene, biomembranes), continuum mechanics, and molecular-to-continuum modeling. Recent Article Trends: Focuses on multiscale epithelial mechanics, active gels, hydraulic fracture in biological systems, and mechanochemical feedback in cellular membranes. Recent work includes modeling curved epithelial shells, nematic patterns in cytoskeletal layers, and shape-programmable living surfaces. Scientific Awards: Icrea Academia Awardee Advising & Grants: Supervised over 20 PhD students, many of whom hold prestigious postdocs or academic positions. Collaborates with experimental groups (e.g., Xavier Trepat, Danijela Vignjevic). Current projects include NIH-funded studies on epithelial mechanics and ERC grants for computational modeling. Labs/Teams: Leads LaCàN's biomaterials group, integrating computational mechanics with experimental biology. Active in interdisciplinary collaborations across UPC, IBEC, and international institutions.

• Artificial Intelligence
• Data Fusion
• Sensor Fusion
• +۴ مورد دیگر

JESUS GARCIA HERRERO is a Full Professor at the Department of Computer Science , Carlos III University of Madrid , and serves as Director of the Postgraduate School of Engineering and Basic Sciences and the Master's Degree in Applied Artificial Intelligence. His research focuses on Artificial Intelligence , Data Fusion , and Maritime Surveillance , with applications in UAV navigation , sensor integration , and fuzzy systems . Key Research Areas: Machine Learning, Trajectory Analysis, Contextual Data Fusion, Robotics, Maritime Security, and Smart Grids. Notable Projects: ASPID (2024-2027), MARVISION (2024-2025), SIMBAT (2021-2024), and HADA (2023-2024). Contact: jesus.garcia@uc3m.es , jgherrer@inf.uc3m.es

Antonio Calomarde Palominoمشاهده پروفایل

دانشیار

• Low Power Digital Circuits
• Soft Error Resilient Circuits
• Integrated Circuit Design
• +۴ مورد دیگر

Antonio Calomarde Palomino is an Associate Professor at the Department of Electronic Engineering, Polytechnic University of Catalonia (UPC), located at the Higher Technical School of Industrial Engineering of Barcelona. He holds a B.S. in Telecommunications Engineering (UPC, 1986), an M.S. in Electronic Engineering (Universitat Autònoma de Barcelona, 1993), and a Ph.D. in Electronic Engineering (UPC, 2007) with honors. His research focuses on low-power/high-performance digital circuits and soft-error resilient designs, addressing challenges in semiconductor technology and radiation-hardened electronics. Key research areas include FinFET-based memory cells, RRAM modeling, and radiation mitigation strategies for advanced nanoelectronics. He contributes to the High Performance Integrated Circuits and Systems Design (HIPICS) Group, advancing circuit design methodologies and educational initiatives such as integrating autonomous vehicle systems into undergraduate curricula. His work bridges theoretical advancements with practical applications in automotive electronics and embedded systems. Publications span topics from memristor-based associative memory to approximation techniques in object detection systems, reflecting a balance between fundamental research and applied engineering. His recent work emphasizes variability-aware design and energy-efficient architectures, as seen in 2023-2024 studies on RRAM models and automotive case studies. Calomarde actively organizes academic events like the 2022 ETS conference and develops educational materials for digital electronics and audiovisual systems courses. His contributions to both technical research and pedagogical innovation solidify his role as a key figure in electronic engineering education and innovation.

Federico Divinaمشاهده پروفایل

استاد

• Bioinformatics
• Evolutionary Computation
• Machine Learning
• +۵ مورد دیگر

Federico Divina is a Professor in the Department of Sports and Computer Science at Universidad Pablo de Olavide, Spain. His research focuses on evolutionary computation, machine learning, and bioinformatics. PhD in Artificial Intelligence from Vrije Universiteit Amsterdam Former postdoc at University of Tilburg (NEWTIES EU project) Research Interests : Bioinformatics, Evolutionary Computation, Machine Learning, Big Data, and Soft Computing. He specializes in knowledge extraction from massive datasets through genetic algorithms and heuristic optimization. Recent Publications span time series forecasting, feature selection in high-dimensional data, and biomedical image analysis. His work combines evolutionary algorithms with practical applications in energy consumption prediction, ocular disease diagnosis, and genomic data analysis. Labs & Collaborations : Leads the DS&BD Data Science & Big Data Lab and has collaborated with groups like DATAi and DASE. His projects include Differential (multi-university energy analysis), GALICIAME (SMA genetic data analysis), and NEWTIES (artificial society modeling).

Estefanía Peñaمشاهده پروفایل

استاد

• Computational Mechanics
• Biomechanics
• Numerical Modeling of Soft Biological Tissues
• +۴ مورد دیگر

Estefanía Peña is a Full Professor (Catedrática de Universidad) at the University of Zaragoza's School of Engineering and Architecture, Department of Mechanical Engineering. She leads research in computational biomechanics with a focus on vascular tissues and medical device interactions. Key roles include coordination of the Mechanical, Naval and Aerospace Engineering Subarea for Spain's Ministry of Science (2022–present) and Deputy Director of the Aragón Institute of Engineering Research (I3A, 2015–2019). Educational Background: Ph.D. Mechanical Engineering, University of Zaragoza (2004) M.Sc. Mechanical Engineering, University of Zaragoza (2000) Research Interests: Computational mechanics of soft biological tissues, multiscale modeling of inelastic effects, atherosclerosis progression, drug delivery systems, and experimental biomechanics. Her work bridges computational models with clinical applications, particularly in cardiovascular diseases and medical devices. Notable Achievements: Recipient of major awards including the Spanish ECCOMAS Best PhD Thesis Award (2005) and Young Research Medal from the Royal Society of Engineering (2015). Supervised over 25 PhD and M.Eng. students, focusing on atherosclerosis mechanics, drug-eluting stents, and fascia biomechanics. Grants & Collaborations: Active in EU and national projects, collaborating with institutions like TU Dortmund, Stanford University, and KTH Royal Institute of Technology. Research emphasizes translational medicine and computational modeling. Labs/Teams: Leads the Biomedical Engineering Division at I3A, part of CIBER-BBN (Spanish Biomedical Engineering Network). Her lab integrates experimental and numerical methods to study vascular mechanics and tissue engineering.

Luis Antonio Belanche Muñozمشاهده پروفایل

استاد

• Machine Learning
• Kernel Methods
• Neural Networks

Luis Antonio Belanche Muñoz is a Professor at the Department of Computer Science , Faculty of Informatics of Barcelona (FIB) , Universitat Politècnica de Catalunya (UPC) . He is affiliated with research groups SOCO - Soft Computing and IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Group . His career spans over 25 years, with 216 documented activities. His research focuses on Machine Learning , Kernel Methods , and Neural Networks . He has pioneered techniques in feature selection, similarity measures, and hybrid models connecting deep learning with kernel methods. His work applies to diverse domains including finance, microbiology, cancer diagnostics, and environmental engineering. Recent publications highlight trends in kernel matrix analysis using entropy, microbiome data integration , and drug resistance prediction in HIV. Earlier work includes knowledge-based systems for wastewater treatment diagnostics and educational technologies for MOOC environments. He has collaborated with 75+ researchers across UPC's research network, contributing to projects funded under Spain's State Research Plans and Catalonia's RIS3CAT strategy. His 2011 thesis on Feature selection in brain tumor MRS data demonstrates interdisciplinary applications.

• Time series analysis
• Machine learning
• Descriptive computational complexity
• +۱ مورد دیگر

Argimiro Alejandro Arratia Quesada is a Professor at the Universitat Politècnica de Catalunya-BarcelonaTech (UPC), affiliated with the IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Group and the SOCO - Soft Computing sub-group . He works in the Department of Computer Science under the College of Industrial, Aerospace and Audiovisual Engineering (ESEIAAT) . Research Interests: Time series analysis, machine learning, descriptive computational complexity, and financial engineering. Projects: Developed the clustAnalytics R package for network clustering assessment, contributed to Bayesian modeling of pandemic data, and designed entropy-based portfolio optimization techniques. Conference Participation: Actively involved in the International Conference on Time Series and Forecasting (2021-2023) and the Catalan Association for Artificial Intelligence conferences. Scientific Output Trends: Recent publications span finance (portfolio optimization, cryptocurrency forecasting), epidemiology (Covid-19 burden estimation), network science (clustering evaluation), and mathematical finance. Methodologies emphasize statistical inference, entropy optimization, and machine learning.