جست‌وجوی استاد و پژوهشگر

• Industrial Engineering
• Maintenance Optimization
• Industry 4.0/Digital Transformation
• +۶ مورد دیگر

Aitor Goti Elordi is a Professor in the Department of Mechanics, Design and Industrial Management at the Faculty of Engineering, University of Deusto. His extensive research portfolio spans industrial engineering, maintenance optimization, Industry 4.0 implementation, and sustainable manufacturing practices. He leads multiple EU-funded and industry-collaborative research projects focused on digital transformation in manufacturing sectors. His research interests center around the intersection of industrial engineering and digital transformation, with particular focus on maintenance optimization using evolutionary algorithms, predictive maintenance systems, and the development of future skills requirements for evolving industrial sectors. His work bridges theoretical research with practical industrial applications, particularly in the Basque manufacturing ecosystem. Analysis of his recent publications reveals a strong trend toward interdisciplinary research addressing Industry 4.0 challenges across multiple sectors. His work consistently focuses on practical applications of data science and AI in industrial contexts, with growing emphasis on sustainability and circular economy principles. A distinctive pattern in his research is the development of competency frameworks to identify future skills requirements across various industrial sectors including steelmaking, renewable energy, and supply chain logistics. Professor Goti Elordi leads multiple significant research projects including SUSTASKILLS (2023-2025) focused on industrial symbiosis skills, REshaping Supply CHAins for Positive social impact (2022-2025), and Real-time acoustic sensorS and artificial Intelligence appLications (2023-2026). His work has secured funding from the European Commission, Basque Government, and major industrial partners including SIDENOR, NEMAK, and ETXE-TAR. He actively supervises student projects, particularly in the area of machinery redesign and additive manufacturing applications. His teaching and research integrate practical industrial experience with academic rigor, emphasizing the development of both technical and transversal skills needed for future industrial challenges.

Abolfazl Simorghمشاهده پروفایل

پژوهشگر

• Aircraft Trajectory Optimization
• Climate Change Mitigation in Aviation
• Robust Control
• +۳ مورد دیگر

Abolfazl Simorgh is a researcher at Charles III University of Madrid's Department of Aerospace Engineering, specializing in climate-optimized aviation systems. His work bridges mathematical control theory with practical climate impact mitigation, focusing on robust trajectory optimization under environmental and operational uncertainties. He leads development of open-source tools for sustainable flight planning while contributing to major European aviation initiatives. Education: B.Sc. in Control Engineering (2017) M.Sc. in Control Engineering (2020) Ph.D. in Aerospace Engineering from Charles III University of Madrid Dr. Simorgh's research centers on developing mathematical frameworks that reconcile aircraft trajectory optimization with climate impact reduction. His expertise spans robust control systems, optimization under uncertainty, and climate modeling integration, with particular emphasis on non-CO₂ emissions. His methodology addresses both CO₂ and non-CO₂ climate forcing mechanisms through computationally efficient algorithms that account for weather variability and climate metric uncertainties. This work directly supports aviation's decarbonization by providing operational strategies that reduce environmental footprint without prohibitive cost increases. Analysis of his 15 most recent publications reveals a cohesive research trajectory focused on operationalizing climate-optimal flight planning. His work consistently integrates climate science with aerospace engineering through robust optimization frameworks, demonstrating particular innovation in handling multiple uncertainty sources (weather, climate models, emissions). The publications cluster around three interconnected themes: 1) Development of open-source computational tools (ROOST, CLIMaCCF), 2) Network-scale implementation of climate-aware air traffic management, and 3) Risk analysis of climate mitigation strategies. This body of work establishes new methodological standards for quantifying and minimizing aviation's total climate impact. Scientific Awards: Luis Azcárraga Aeronautical Innovation Award for collaborative research impact Best Paper Award (2022) from a high-impact aerospace journal Dr. Simorgh secures significant research funding through European Commission projects including FlyATM4E (climate-optimized flight planning), ALARM (aviation emissions reduction), and RefMAP (sustainable aviation pathways). His grant portfolio emphasizes practical implementation of climate mitigation strategies, with strong industry-academia collaboration. He mentors junior researchers through project teams and has developed three major open-source Python libraries (CLIMaCCF, ROOST, ROC) that have become community standards for climate impact assessment in aviation research. His current work focuses on scaling climate-optimized trajectories to continental airspace while addressing operational constraints and economic viability. He leads a research group focused on climate-aware air traffic management, developing the ROOST simulation framework for GPU-accelerated trajectory optimization and the CLIMaCCF library for standardized climate metric calculations. His team collaborates with European air navigation service providers and aircraft manufacturers to transition research into operational practice, with current projects emphasizing real-time implementation and regulatory compliance frameworks.

Codina Bonilla, Lluísمشاهده پروفایل

دانشیار

• Web Positioning
• Semantic Web
• Information Systems
• +۷ مورد دیگر

Lluís Codina Bonilla is an Associate Professor at Pompeu Fabra University's Faculty of Communication, specializing in Journalism and Audiovisual Communication. As a founding member of the DigiDoc Research Group (SGR-01103) and Director of the Cybermedia Observatory, he bridges Information Science and Digital Communication through research on SEO, content curation, and digital media systems. PhD in Information Science (Universitat Autónoma de Barcelona) Co-founder of academic journal Hipertext.net Principal Investigator for multiple Spanish national R&D projects Research Interests: His work focuses on Search Engine Optimization (SEO) for news media, Semantic Web applications in journalism, and content curation systems. Recent studies explore AI applications in content creation and academic research. Academic Contributions: With over 200 articles and 6 books (including Design and SEO for Content-Intensive Websites ), his publications analyze digital media quality assessment, information architecture, and media verification. His 21 doctoral theses (all cum laude) highlight his role as a mentor in digital communication. Premio Roblón 2021 for Investigator of the Year Multiple UPF Social Council Awards for Teaching Quality Nominated Scimago Best Scientific Article Recognized Researcher Tranches (CNEAI/AQU) Academic Infrastructure: Leads the Cybermedia Observatory and contributes to UPF's SEO Media Lab, while maintaining affiliations with the Catalan Society of Communication and Institute of Catalan Studies. His teaching spans Journalism, Audiovisual Communication, and Research Master's programs.

• Transportation Safety
• Traffic Psychology
• Sustainable Mobility
• +۵ مورد دیگر

Sergio Alejandro Useche Hernandez is an active Assistant Professor specializing in transportation safety and traffic psychology, with 134 publications reflecting deep expertise in human behavioral factors within mobility systems. His research spans road safety compliance, sustainable transport adoption, and mental health impacts across diverse populations including cyclists, delivery workers, and public transport users. His primary research interests focus on the intersection of psychology and transportation engineering, particularly sensation seeking in vulnerable road users, gender disparities in mobility choices, and technology-induced distractions. He employs advanced methodologies including Structural Equation Modeling (SEM), cross-cultural surveys, and systematic literature reviews to investigate phenomena like e-scooter adoption barriers in developing countries and mental health outcomes among transport workers. Key contributions include the validated SSC scale for cyclist risk assessment and frameworks for evaluating sustainable mobility policies through interdisciplinary lenses. Analysis of his 15 most recent publications (2024-2026) reveals three dominant trends: (1) growing emphasis on digital distractions across transport modes (cycling, motorcycling, driving), (2) sophisticated gender-based analyses of mobility barriers and safety outcomes, and (3) methodological innovation through integrated theoretical frameworks like TPB-UTAUT. His work consistently bridges academic rigor with policy relevance, particularly regarding last-mile delivery risks and post-crash psychological recovery. While no specific scientific awards are documented in the source material, his extensive publication record in high-impact journals (e.g., Accident Analysis and Prevention , Transportation Research Part F ) demonstrates significant scholarly recognition. The absence of listed advisees suggests primary focus on independent or collaborative research rather than graduate supervision, though his faculty position implies potential mentoring activities. His work shows strong alignment with European mobility policy initiatives and cross-national studies spanning Spain, Australia, Latvia, and the Dominican Republic, indicating robust international collaboration networks.

• Numerical Methods
• Partial Differential Equations
• Computational Mathematics
• +۳ مورد دیگر

Francisco Manuel Bernal Martínez is an Associate Professor in the Department of Mathematics at Carlos III University of Madrid. His research focuses on numerical methods, partial differential equations, and computational mathematics, with applications in industrial engineering and materials science. He leads projects such as 'Financiación adicional 5º año (2022)' and collaborates on initiatives like 'Clustering Automático de Comportamientos de Invertebrados en Libertad mediante Imagen 3D.' His work emphasizes domain decomposition algorithms, radial basis functions, and stochastic control problems. He has advised at least one PhD thesis and holds grants from regional and national funding bodies. Key research interests include meshless methods, probabilistic domain decomposition, and uncertainty quantification in energy systems. Recent publications highlight advancements in hybrid algorithms for large-scale PDEs and volatility modeling. Bernal Martínez actively participates in academic networks and has presented at international conferences on computational methods and industrial mathematics.

Ramon Ferrer Canchoمشاهده پروفایل

دانشیار

• Quantitative Linguistics
• Information Theory
• Network Theory
• +۳ مورد دیگر

Ramon Ferrer Cancho is an Associate Professor at the Polytechnic University of Catalonia's Department of Computer Science, affiliated with the Barcelona School of Informatics and the LQMC research group (Quantitative, Mathematical, and Computational Linguistics). His work focuses on quantitative linguistics, information theory, and network theory, with applications in language structure, evolution, and animal communication. Education: Doctor in Computer Science, Advanced Studies Diploma in Applied Physics and Simulation. Research Interests: Dependency syntax, linguistic laws (Zipf's law, Menzerath-Altmann law), computational models of language, and cross-disciplinary studies in biology and cognitive science. He leads projects on language optimization, complexity, and data analysis. Recent work includes studies on syntactic dependency distances, ape gesture patterns, and bottlenose dolphin communication parallels. His research bridges computer science, linguistics, and biology, emphasizing universal principles in communication systems. Notable contributions include theoretical frameworks for dependency distance minimization, optimization models of language structure, and empirical analyses of primate vocal sequences.

Yann Pontyمشاهده پروفایل

پژوهشگر

• RNA Folding
• RNA Design
• RNA Evolution
• +۹ مورد دیگر

Yann Ponty is a tenured CNRS Researcher at the Computer Science Department (LIX) of École Polytechnique (Institut Polytechnique de Paris, France). He leads the AMIBio team and serves as Deputy Director of LIX. His work focuses on developing bioinformatics methods at the intersection of computer science, mathematics, and molecular biology, particularly for RNA structure prediction, design, and evolution. He holds leadership roles in the ISCB Board of Directors (2025-2027) and the HDR referent for the IDIA department (CS&Interactions) at IP Paris. Research Interests: RNA folding/design/evolution, RNA-RNA/RNA-protein interactions, random generation, enumerative combinatorics, discrete algorithms, parameterized complexity, RNA visualization Key Contributions: Developed algorithms for RNA inverse folding, pseudoknot modeling, and dynamic programming optimization Collaborations: Partnerships with institutions like Simon Fraser University, Boston College, and Université Paris-Saclay His recent publications (15 most recent) span RNA structure prediction, pseudoknot partition functions, linear-time inverse folding algorithms, and parameterized sampling techniques. The work emphasizes dynamic programming, combinatorial approaches, and integration of experimental data for improving RNA modeling. Scientific awards include election to the ISCB Board of Directors (2025-2027) and leadership roles in academic networks like GdR BIM. He actively contributes to software development (VARNA, RNANR, SPARCS, IncaRNAtion, RNARedPrint) and serves as Associate Editor for Bioinformatics (OUP). Teaching engagements include graduate-level courses in combinatorial optimization, RNA bioinformatics, and algorithms at Université Paris-Saclay and École Polytechnique.

• Systems Engineering
• Automation Engineering
• Intelligent Instrumentation
• +۷ مورد دیگر

Francisco Javier Pérez Castelo is a Professor in the Department of Industrial Engineering at Universidade da Coruña (UDC), specializing in Systems and Automation Engineering. He is affiliated with the Escola Técnica Superior de Enxeñaría and leads research in the Cyber Science and Technology Research Group. His research focuses on Intelligent Instrumentation, Industrial Internet of Things (IIOT), Knowledge Engineering, Expert Systems, and Intelligent Systems for modeling, optimization, and control . His work bridges theoretical control systems with practical applications in marine engineering, power electronics, and industrial automation. His research has significant applications in ship automation, marine systems control, and industrial robotics. Pérez Castelo's publication record shows a consistent trajectory in control systems and automation, with recent work emphasizing intelligent instrumentation, IIOT applications, neural networks, and expert systems in marine environments. His research has evolved from fundamental control theory to applied intelligent systems with strong industry connections. Patent: Universidade da Coruña (UDC) - 22/03/2013 request date, 11/08/2015 grant date Patent: Universidade da Coruña (UDC) - 01/10/2010 request date, 26/12/2013 grant date Patent: Universidade da Coruña (UDC) - 04/02/2008 request date, 29/03/2011 grant date Patent: Universidade da Coruña (UDC) - 19/07/2005 request date, 20/05/2009 grant date He has supervised numerous bachelor's and master's theses on topics including autonomous vehicles for ship maintenance, marine stability optimization, digital camera stabilization systems, and solar-powered LED lighting. His research has been supported by various funding entities including EMALCSA, CONSELLERIA DE EDUCACIÓN, Instituto Nacional de Ciberseguridad, and Ministerio de Ciencia e Innovación. Pérez Castelo actively collaborates with researchers across Spain and internationally, with projects spanning from 1995 to the present, demonstrating sustained research productivity. He teaches across multiple programs including the Master's Degree in Industrial Informatics and Robotics, Degree in Naval Engineering, and Degree in Marine Technologies, covering subjects such as Industrial Drives, Automation and Control Systems, Ship Installation Automation, and Advanced Control of Marine Systems. His teaching laboratory is located in the Laboratorio de Automática (ETSNM).

Belen Masiaمشاهده پروفایل

دانشیار

• Computational Imaging
• Applied Perception
• Virtual Reality
• +۴ مورد دیگر

Belen Masia is a tenured Associate Professor in the Computer Science Department at Universidad de Zaragoza , Spain. She is affiliated with the Graphics & Imaging Lab (part of the I3A Institute ) and the Vision, Image and Neurodevelopment Group (within the IIS Aragon Institute ). Her research bridges computational imaging , applied perception , and virtual reality , focusing on modeling human visual behavior and improving graphics/vision algorithms through perceptual insights. Education : Ph.D. in Computer Science (Eurographics PhD Award 2015), postdoctoral work at Max Planck Institute for Informatics . Research Highlights : Virtual Reality : Studying user behavior, saliency prediction, multimodal perception, and cinematography in VR. Appearance Modeling : Developing intuitive material representations and metrics for editing. Applied Perception : Leveraging human vision insights to diagnose defects in non-verbal patients. Computational Displays : Exploring HDR imaging and display optimization. Scientific Awards : Eurographics Young Researcher Award 2017 Eurographics PhD Award 2015 MIT Technology Review Top Ten Innovators Below 35 in Spain 2014 NVIDIA Graduate Fellowship 2012 Leonardo Fellowship from BBVA Foundation 2020 Leadership & Editorial Roles : Co-chair of Full Papers track at Eurographics 2026 Associate Editor for ACM Transactions on Graphics, Computers and Graphics, and ACM Transactions on Applied Perception Co-founder of DIVE Medical , a startup for automated visual function diagnosis PhD Students : Dario Lanza (2025, Modeling, Perception and Editing of Volumetric Materials ) Daniel Martin (2024, Computational Models of Visual Attention in VR , Best PhD Thesis Award EGSE) Julia Guerrero-Viu (2023, WiGRAPH Rising Star) Sandra Malpica (2023, VR Gaze Behavior ) Manuel Lagunas (2021, BBVA/SCIE Young Researcher Award) Ana Serrano (2019, Eurographics PhD Award & Unizar Outstanding Thesis) Collaborations & Grants : Involved in the EU-funded PRIME Innovative Training Network (predictive rendering and appearance reproduction) and leading projects on deep learning for pediatric visual diagnosis.

• Biomechanics
• Human Balance and Movement
• System Identification
• +۷ مورد دیگر

Massimo Cenciarini is a Senior Lecturer in the Department of Mechanical Engineering at the Universitat Politècnica de Catalunya (UPC), affiliated with the School of Industrial Engineering (ETSEIB). He is an active member of the BIOMEC - Biomechanical Engineering Lab, TecSalut - Health Technologies Research Group, and CDEI - Industrial Equipment Design Centre. His work bridges engineering and biomedical applications, focusing on human movement and assistive technologies. Research Interests: Biomechanics and human balance Wearable robotics and exoskeletons System identification and control Assistive mobility technologies Mechatronics and simulation Postural control and motor adaptation His recent publications show a strong trend in wearable robotic devices, particularly knee exoskeletons, with emphasis on human-exoskeleton interaction, misalignment compensation, impedance identification, and gait assistance. His work integrates biomechanical modeling, experimental validation, and translational research for rehabilitation and mobility enhancement. Scientific Awards: 3r Premi UPC al Compromís Social He has participated in competitive R&D projects such as Xartec Salut and technology transfer initiatives, including the development of wearable knee exoskeletons. While no formal students are listed, his collaborative projects suggest mentorship roles within multidisciplinary teams. He is involved in research networks focused on health technologies and Industry 4.0 educational environments. Laboratories and Research Groups: BIOMEC - Biomechanical Engineering Lab (UPC) TecSalut - Health Technologies Research Group CDEI - Centre de Disseny d'Equips Industrials

Daniel Hernández de la Iglesiaمشاهده پروفایل

پژوهشگر

• Internet of Things (IoT)
• Multi-Agent Systems
• Artificial Intelligence
• +۳ مورد دیگر

Daniel Hernández de la Iglesia is a researcher at the University of Salamanca , affiliated with the School of Informatics and the Department of Computer Science and Artificial Intelligence . He completed his PhD at the University of Salamanca in 2018 with the thesis titled "Embedding smart software agents in resource constrained internet of things devices." Research Focus: Specializes in integrating Multi-Agent Systems and IoT for sustainable applications, including electric vehicle optimization, battery reuse, and smart urban solutions. Academic Contributions: Published extensively on AI-driven energy management, smart mobility, and ethical implications of technology. Key Trends in Publications (2022-2025): His work spans IoT , Artificial Intelligence , and Sustainable Mobility , with a focus on electric vehicle battery health, strategic management in digitalization, and ethical considerations in technology. Collaboration: Supervised by Dr. Gabriel Villarrubia González and Dr. Juan Francisco de Paz Santana , his research bridges academic rigor with real-world applications in smart systems and renewable energy.

• Electric Power Systems
• Renewable Energy Dispatch
• Isolated Power Systems
• +۳ مورد دیگر

Mohammad Rajabdorri is an Assistant Professor at the Institute for Research in Technology (IIT) of Comillas Pontifical University, holding a position since 2020 and currently serving as an Assistant Research Collaborator since 2024. He earned a BSc in Electrical Power Engineering from Shiraz University (2016), an MSc in Electrical Power Systems from Shiraz University of Technology (2018), and a PhD in Electrical Engineering from IIT (2023). His research focuses on isolated power systems, electricity markets, renewable energy dispatch, and power system operation. Key projects include modeling grid-forming converters for system stability, blackstart strategies for renewable plants, and UFLS optimization in island systems. He has collaborated with entities like Iberdrola and the European Commission. Rajabdorri’s work spans 9 journal articles and 8 conference papers, emphasizing data-driven approaches in power system optimization. He advises PhD student M. Sarvarizadeh Kouhpaye on resilience and reliability of island systems. His professional networks include international exchanges at Durham University and invited seminars at IIT.

Angel Santamaria Navarroمشاهده پروفایل

دانشیار

• Mobile Robotics
• Autonomous Systems
• Human-Robot Interaction
• +۳ مورد دیگر

Angel Santamaria-Navarro serves as Associate Professor at Polytechnic University of Catalonia (UPC) and Robotics Researcher at the Institute of Robotics and Industrial Informatics (IRI), a CSIC-UPC joint center in Barcelona. His work bridges academic research and real-world deployment in mobile robotics, with current leadership in European TRIFFID (autonomous first-responder systems) and national LENA (lifelong navigation learning) projects spanning urban logistics and emergency response applications. His research centers on Mobile Robotics and Autonomous Systems with emphasis on human-robot collaboration in unstructured environments . Key focus areas include robot navigation in crowded urban settings, manipulation of deformable objects, and deployment of delivery systems like the LogiSmile project piloted across European cities. His work uniquely integrates machine learning with field robotics to solve practical challenges in last-mile logistics and disaster response. Recent publications (2022-2025) reveal a concentrated shift toward real-world robotic deployment , particularly in emergency response (TRIFFID) and urban logistics. Dominant themes include communication-aware multi-robot coordination, probabilistic perception for dynamic environments, and human acceptance studies – reflecting his commitment to transitioning lab innovations to operational field systems through Horizon Europe and national projects. Key recognitions include: 1st place at DARPA Subterranean Challenge, urban circuit (2020) 2nd place at DARPA Subterranean Challenge, tunnel circuit (2019) Beatriu de Pinós research fellowship (2021) Georges Giralt PhD award finalist (2018) R3 accreditation as consolidated researcher (2023) He actively mentors next-generation researchers as supervisor of PhD candidate Hafsa Taher (deep learning for autonomous vehicles) and Master's student Joan Tur Ruiz (object pose tracking). His research portfolio includes €5M+ in competitive funding spanning Horizon Europe projects (TRIFFID, TORNADO), national initiatives (LENA, AUDEL), and industry partnerships like the Vaive Logistics spin-off co-founded in 2023. As core member of UPC's robotics team, he contributed to the NeBula framework that won DARPA's Subterranean Challenge and currently leads development of TRIFFID's autonomous first-responder systems. His work with the LogiSmile consortium demonstrates practical urban deployment of delivery robots across Barcelona, Lisbon, and Milan, while the SOCIAL PIA project pioneers cybernetic avatars for cooperative human-robot teams.

Maria Solerمشاهده پروفایل

پژوهشگر

• Nanophotonics
• Biosensors
• Nanoplasmonics
• +۵ مورد دیگر

Dr. Maria Soler serves as a Senior Researcher at the Catalan Institute of Nanoscience and Nanotechnology (ICN2), conducting pioneering work in the Nanobiosensors and Bioanalytical Applications group (NanoB2A) under the Networking Research Center of Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN). Her expertise spans nanophotonic biosensor development for real-time, label-free detection in complex biomedical environments. Her academic credentials include: PhD in Biochemistry, Molecular Biology and Biomedicine from Autonomous University of Barcelona (2015, with distinguished honors) Postdoctoral research at Ecole Polytechnique Federale de Lausanne (EPFL, Switzerland) for 3 years Dr. Soler's research integrates optical biosensor development , nanoplasmonics , and surface chemistry with molecular biology to create diagnostic platforms for immunology and personalized medicine. The NanoB2A group focuses on nanoplasmonic biosensors, silicon nanophotonic systems, lab-on-a-chip integration, and surface biofunctionalization, targeting clinical diagnostics and environmental applications through interdisciplinary innovation. Her publication trends reveal consistent advancement in label-free photonic biosensors for precision diagnostics, particularly in point-of-care testing for infectious diseases (including multiple SARS-CoV-2 applications) and cancer immunotherapy monitoring. This work bridges nanotechnology fundamentals with urgent healthcare needs, demonstrating exceptional translational potential in pandemic response and personalized treatment strategies. Dr. Soler's contributions have been recognized through distinguished PhD honors and features in Laser Focus World, though specific awards remain unlisted in available materials. Her research has secured significant ERDF funding for laboratory enhancements within the Biodeposition and Biodetection Unit (U4 NANBIOSIS). As leader of the NanoB2A laboratory at ICN2, she oversees cutting-edge equipment for nanobiosensor development and application, recently upgraded through European Regional Development Fund investments to advance diagnostic capabilities for complex biomedical challenges.

Sebastian Tornil Sinمشاهده پروفایل

دانشیار

• Automatic Control
• Fault Detection and Diagnosis
• Water Distribution Networks
• +۶ مورد دیگر

Sebastian Tornil Sin is an Associate Professor in the Department of Automatic Control at Universitat Politècnica de Catalunya (UPC), affiliated with the Institut de Robòtica i Informàtica Industrial (IRI), a joint center of UPC and CSIC. His work focuses on fault detection, diagnosis, and monitoring in industrial and water distribution systems. His research interests lie at the intersection of automatic control , data-driven modeling , and industrial applications . He specializes in leak detection and localization in water networks using sensor data, classifiers, and reasoning frameworks like Dempster-Shafer and Bayesian methods. His work also extends to sensor placement optimization and human-robot task design in academic environments. The recent publications (2017–2022) show a consistent focus on applying machine learning and control theory to real-world infrastructure problems, particularly in water networks. Trends include hybrid data-expert systems, classifier-based fault localization, and incremental sensor deployment strategies. Scientific Awards: No awards mentioned in the provided text. Sebastian Tornil Sin actively contributes to research through collaborations with experts such as V. Puig, J. Blesa, and A. Soldevila. While no formal advising or grant information is available, his extensive publication record in journals like IEEE Transactions on Control Systems Technology and Computers and Chemical Engineering indicates strong research leadership and project involvement. He is part of the research team at the Institut de Robòtica i Informàtica Industrial (IRI) , where he contributes to projects in fault detection, monitoring systems, and robotics applications in industrial and urban infrastructure.