جست‌وجوی استاد و پژوهشگر

Daniel Duque Campayoمشاهده پروفایل

استاد

• Applied Mathematics
• Fluid Mechanics
• Computational Fluid Dynamics (CFD)
• +۵ مورد دیگر

Daniel Duque Campayo is a Professor in the Department of Physics Applied to Aeronautical and Naval Engineering at Universidad Politécnica de Madrid (UPM), affiliated with the School of Naval Engineering. He has held this position since 2012 and was appointed Deputy Director of the department in 2023. His research spans Applied Mathematics, Fluid Mechanics, and Computational Fluid Dynamics (CFD), with a focus on numerical simulations and interdisciplinary applications. Education: Implied PhD in Physics or Engineering, though exact details not explicitly provided. His recent publications include topics like blackbody radiation, Voronoi diagrams, and numerical methods in fluid dynamics. While specific awards are not listed, his curriculum highlights contributions to research financing, technological development, and training of young researchers. He actively collaborates with industry and public institutions, particularly in hydrodynamic testing through the CEHINAV group. He utilizes open-source tools like FreeCAD, OpenFOAM, and reveal.js for technical workflows and presentations, emphasizing software freedom. His blog archives from 2016–2025 reflect expertise in von Neumann stability, Coriolis force modeling, and Maxwell constructions for energy modeling.

KC Sivaramakrishnanمشاهده پروفایل

استاد مدعو

• Functional Programming
• Language Runtimes
• Concurrency
• +۵ مورد دیگر

KC Sivaramakrishnan serves as an Adjunct Professor at the Indian Institute of Technology, Madras and CTO of Tarides, bridging academic research and industrial application in programming languages and systems. His dual roles reflect a commitment to advancing both theoretical foundations and practical implementations in computer science. His research spans Functional Programming, Language Runtimes, Concurrency/Parallelism/Distribution, and Weak Memory/Consistency models, with particular focus on the OCaml programming language. Sivaramakrishnan's work addresses fundamental challenges in concurrent and distributed systems through innovative language design and runtime techniques. Analysis of his publication record reveals a consistent trajectory from foundational work on effect handlers and concurrency models (2015-2020) to more recent contributions in verified systems, multicore programming, and distributed data types (2021-2025). His research demonstrates strong continuity in exploring how programming language principles can solve real-world systems challenges. Sivaramakrishnan actively contributes to the academic community through program committee memberships across major PL conferences including POPL, PLDI, ICFP, and SPLASH. His service spans multiple roles from committee member to track chair and diversity co-chair. As CTO of Tarides, he leads industrial efforts in OCaml compiler development and systems programming, maintaining a productive synergy between his academic research and industry leadership. His work with the OCaml community includes significant contributions to multicore support and effect handler implementations.

• Data Quality
• Software Quality and Measurement
• Business Intelligence
• +۶ مورد دیگر

Manuel A. Serrano is a Professor at the School of Computer Science, University of Castilla-La Mancha, Spain. With over 25 years of professional experience including industry roles as programmer/web designer and secondary school teacher, he has been a full-time researcher in the Alarcos group since 2000. Currently coordinates professional practice programs in Computer Engineering. Education : PhD in Computer Engineering (2004, UCLM, cum laude) Research Interests : Data quality, quantum software engineering, business intelligence, Big Data security, IoT, and AI ethics His research spans two major domains: Quantum Computing : Pioneering quantum software engineering, developing testing methodologies, assertion frameworks, and hybrid system guidelines Cybersecurity : Creating security reference architectures for Big Data and automotive systems, with focus on quantum security integration Recent publications demonstrate these interests through: Quantum algorithm verification techniques Security frameworks for automotive systems Ethical AI methodology development Big Data risk analysis patterns Scientific achievements include: 24 JCR-indexed journal articles Over 50 SCI-category conference papers 3 research six-year periods Best Scientific Article Award at JNIC 2018 Research leadership: Coordinated regional project with University of Alicante Principal investigator for national project QUASIMODO Contributor to 20+ national/regional and 3 international projects (SDGear, DQIoT, Di4SPDS) Industrial collaborations with INDRA on ORIGIN and LPS-BIGGER projects Additional qualifications: Professional Scrum Manager certification Cambridge C1 English certification Spin-off participation in AQCLabs and DQTeam

Juan Jose Gonzalez de la Rosaمشاهده پروفایل

استاد

• Higher Order Statistics
• Power Quality
• Computational Intelligence
• +۶ مورد دیگر

Dr. Juan Jose Gonzalez de la Rosa is a Full Professor in Electronics at the University of Cadiz, Spain, where he founded and leads the Research Group in Computational Instrumentation and Industrial Electronics (PAIDI-TIC-168). His academic career includes a Ph.D. in Industrial Engineering from the University of Cadiz (1999) and an M.Sc. in Physics-Electronics from the University of Granada (1992). His research focuses on Higher Order Statistics (HOS), Power Quality assessment, and computational intelligence applications in measurement systems. He has made significant contributions to termite detection through vibratory signal analysis, power quality event classification, and acoustic emission signal processing for industrial applications. His work bridges theoretical signal processing techniques with practical engineering solutions. His publication record shows consistent output in high-impact journals, with research trends emphasizing the application of Independent Component Analysis (ICA), wavelet transforms, and higher-order statistics to solve challenging signal processing problems in diverse domains from power systems to biological signal analysis. His work demonstrates particular strength in developing methods that function effectively under low signal-to-noise ratio conditions. Four recognitions in Communication Engineering by Spanish Government Recognition in Computation by Spanish Government Recognition in Electronics by Spanish Government Knowledge Transfer Recognition by Spanish Government As founder of the Computational Instrumentation and Industrial Electronics research group, he has established a productive research environment focused on applying advanced signal processing techniques to industrial measurement challenges. His work on power quality assessment systems and termite detection technologies demonstrates practical applications of his theoretical contributions.

• Communication Networks
• Cybersecurity
• Information Security
• +۵ مورد دیگر

Josep Rafel Pegueroles Valles is a Professor at the Department of Telematic Engineering , Universitat Politècnica de Catalunya . He leads the Information Security Group - Mathematics Applied to Cryptography (ISG-MAK) and has contributed to 174 academic activities, including research projects, conference papers, and technical documents. Education: Ingeniero de Telecomunicaciones (Telecommunications Engineering), Doctorat en Ingeniería Telemática (Telematics Engineering) Research Focus: Cybersecurity, Digital Forensics, Electronic Payments, Communication Networks, and Legal Tech His 15 most recent articles (2023-2025) emphasize cybersecurity in IoMT , MITRE Framework analysis , and digital forensic methodologies . Topics include intrusion detection systems, threat actor attribution, and XSS vulnerability mitigation. Scientific Awards: Premio Accenture al mejor PFC Grants and Projects: Cátedra CARISMATICA (2022) SSADE - Secure Multimedia Access System (2001) Digital Innovation Hub de Catalunya EU-funded projects (2008-2011)

Juan Carlos Vidal Aguiarمشاهده پروفایل

استادیار

• Knowledge Discovery
• Semantic Annotation
• Workflow Modeling
• +۷ مورد دیگر

Juan Carlos Vidal Aguiar is an Assistant Professor in the Department of Electronics and Computing at the University of Santiago de Compostela (Spain), affiliated with the Higher Technical School of Engineering and the Center for Research in Intelligent Technologies (CITIUS). His research focuses on knowledge discovery, semantic technologies, process mining, and AI-driven business intelligence. He holds a PhD from the University of Santiago de Compostela (2010) and a Bachelor's in Computer Science from the University of La Coruña (2000). His work integrates formal methods like Petri nets with machine learning and semantic web technologies, addressing challenges in workflow modeling, predictive monitoring, and healthcare analytics. Key projects include Predictive monitoring and causality for cardiac rehabilitation , Responsible AI for Process Mining 2.0 , and AQUATECHInn 4.0 (digital aquaculture training). He has led research on glucodensity analysis for diabetes monitoring and developed frameworks like OPENET for Petri net-based workflow execution. His contributions span 200+ publications in venues like IEEE Transactions, ACM T-KDD, and Advances in Data Analysis and Classification. Juan Carlos collaborates with institutions across Europe and Latin America on learning analytics, smart manufacturing, and health informatics. His lab's work emphasizes practical applications of AI in education and industry, including gamification analytics and cloud-based process monitoring tools.

Rui Abreuمشاهده پروفایل

استاد

• Software Quality
• Software Testing
• Debugging
• +۵ مورد دیگر

Rui Abreu is a Full Professor at the Faculty of Engineering of the University of Porto, Portugal. His academic career spans multiple institutions including IST, ULisbon where he served as an Associate Professor, and the University of Porto where he previously held the position of Assistant Professor. He has also been a Visiting Researcher at Google NYC (2019-2020) and a member of the Model-Based Reasoning group at PARC's System and Sciences Laboratory. Dr. Abreu earned his Ph.D. in Computer Science - Software Engineering from the Delft University of Technology, The Netherlands, and his M.Sc. in Computer and Systems Engineering from the University of Minho, Portugal. His research revolves around software quality with emphasis on automating testing and debugging phases of the software development life-cycle as well as self-adaptation. With extensive expertise in both static and dynamic analysis algorithms, his work spans traditional software engineering, quantum software testing, and security-focused development practices. His recent publications demonstrate a strong focus on applying AI techniques to software engineering problems, quantum software testing, and security vulnerability detection. The trend shows increasing integration of large language models in debugging tools and expanding research into quantum software verification. Dr. Abreu has received significant recognition for his work, including 6 Best Paper Awards and a Distinguished Paper Award at ESEC/FSE 2019. His research has attracted considerable attention in the software engineering community. As an entrepreneur, he co-founded DashDash in January 2017, a platform that allows users to create web applications using only spreadsheet skills. The company secured $9M in Series A funding in May 2018. His industry experience complements his academic work, particularly in the areas of practical software tools and applications. Dr. Abreu has been actively involved in numerous conferences, serving as General Chair for ICST 2020, Program Committee member for multiple tracks across various conferences, and as Steering Committee member for ICST. His leadership in the software engineering community is evident through his extensive service and contributions to the field.

Samuel Marcos Pablosمشاهده پروفایل

مدرس پاره‌وقت

• Social Robotics
• Virtual Reality Education
• Emotion Recognition Systems
• +۳ مورد دیگر

Dr. Samuel Marcos Pablos is a Part-Time Lecturer at the College of Computer Science , Universidad Pontificia de Salamanca, specializing in Systems Engineering and Automation . As a member of the MARATON research group, his work focuses on mobile applications, internet of things, and data processing for healthcare robotics. PhD in Robotics (2011) from Universidad de Valladolid Supervised by Dr. Eduardo Zalama Casanova and Dr. Jaime Gómez García-Bermejo Active in social robotics, virtual reality education, and emotion recognition systems His recent work explores dynamic VR learning environments, healthcare technology integration, and emotion-aware AI systems. From 2020-2024, he has contributed to digital health ecosystems and robotic companions for elderly care. Research interests include: Human-Computer Interaction Technological Adoption in Health Sciences Emotion Recognition Tools Service Robotics Applications Medical Simulation Systems Current projects involve low-cost humanoid robot development and metaverse-based clinical training platforms, with emphasis on user acceptance and adaptive educational environments.

• Coeducation
• Media Literacy
• Educational Innovation
• +۴ مورد دیگر

Simon Gil Tévar serves as Professor at the Faculty of Humanities and Education, Universidad Católica de Ávila, where he leads the GIAFES Research Group on Physical Activity, Education and Health. His academic profile centers on advancing coeducative practices through critical analysis of audiovisual media and development of innovative digital pedagogical tools for diverse learning environments. His research spans coeducation in fictional series, media literacy across age groups, and postdigital educational challenges, with particular focus on gamification (escape rooms, metaverse applications), AI integration, and inclusive curriculum design. Recent work examines television series as coeducative instruments, media literacy for adolescents/elderly populations, and spatial organization in postdigital societies, consistently bridging theoretical frameworks with practical classroom applications. Analysis of his 2023-2025 publications reveals dominant trends in applying digital methodologies to deconstruct gender representation in media while developing open-access educational resources. His bibliometric studies map evolving research landscapes in coeducation, while hands-on projects create virtual escape rooms and AI tools for media literacy—demonstrating commitment to translating academic insights into tangible learning experiences. Professional engagements include membership in the Ibero-American Association of Teaching Innovation (IDI), peer review for Communiars. Journal of Image, Arts and Critical and Social Education , and scientific committee roles for the 2025 International Congress on Education and Diversity and 2025 Conference on Heritage Education and Communication. Active research leadership in GIAFES group focusing on physical activity-health-education intersections Development of Genially/Canva-based interactive materials for primary/secondary education Design of virtual escape rooms and AI-driven tools for media literacy education Specialized focus on television series as vehicles for promoting coeducation and inclusivity Consultation on digital resource design for non-formal educational contexts including museums

Alejandro Morales Vargasمشاهده پروفایل

استادیار

• Website Quality
• Digital Media
• Information Architecture
• +۳ مورد دیگر

Alejandro Morales Vargas is an Assistant Professor at the Faculty of Communication and Image of the University of Chile, specializing in digital communication. With a PhD in Communication from Pompeu Fabra University (2021), a Master's in Digital Content Management from the University of Barcelona (2016), and a Journalism degree from the University of Chile (2004), he brings extensive academic credentials to his role. His research interests focus on website quality, digital media, information architecture, digital journalism, usability, and user experience. As an educator, he teaches undergraduate courses including 'Digital Tools and Design' and 'Digital User Experience,' and serves as a thesis advisor. At the postgraduate level, he founded Chile's first Diploma in Digital Journalism and Internet Media Management in 2007, serving as its academic coordinator until 2011. Professionally, since 2007, he has served as Head of Digital Media at the University of Chile's Information and Library Services Directorate (SISIB), overseeing the university's main website and institutional portal platform. His recent publications demonstrate a consistent focus on website quality evaluation frameworks, digital media analysis, and information architecture. He is actively involved in multiple international research projects including 'CUVICOM' (2022-2025) and 'Seleccionar escuelas con un clic' (2025-2027). Among his professional affiliations, he serves on the editorial board of Hipertext.net, is a member of the academic faculty of ILCE (Mexico), and acts as an evaluator for research projects at ANID Chile. His work bridges academic research with practical digital media implementation, making significant contributions to both scholarly understanding and real-world applications in digital communication.

Juan Manuel Carrillo de Geaمشاهده پروفایل

استاد

• Software Engineering
• Requirements Engineering
• Health Informatics
• +۵ مورد دیگر

Juan Manuel Carrillo de Gea is a Professor at the University of Murcia, affiliated with the Faculty of Informatics and the Department of Computer Science and Systems Engineering. His research focuses on software engineering, requirements engineering, health informatics, and sustainability in software systems. He holds a doctoral degree from the University of Murcia, where his thesis addressed the evaluation of software engineering tools and requirement reuse in global software development. His research interests include usability auditing, machine learning applications in healthcare, DevOps methodologies, and security in e-Health systems. He has contributed to developing frameworks like Usevalia for usability audits and has explored gamification in education. His work frequently bridges theoretical advancements with practical applications, such as improving accessibility for people with disabilities through mobile apps and enhancing energy efficiency in software systems. Recent publications highlight trends in ensemble classification methods for medical diagnostics, human factors in DevOps adoption, and sustainability metrics in e-commerce. While no awards are explicitly listed, his extensive publication record reflects significant contributions to software engineering and health informatics. Advising and grant activities are not detailed here, but his thesis supervision and collaborative projects indicate an active role in mentoring and interdisciplinary work.

Ernest Tenienteمشاهده پروفایل

استاد

• Software Engineering
• Database Systems
• Conceptual Modeling
• +۴ مورد دیگر

Ernest Teniente is a full professor at the Universitat Politècnica de Catalunya — BarcelonaTech and director of the inLab FIB . He specializes in software engineering, databases, and IoT systems, with a focus on conceptual modeling, data integration, and automated reasoning. His research spans 20 years, yielding over 60 peer-reviewed publications and leading roles in national/international projects like SUDOQU and DAGIA. He has supervised numerous students across BSc, MSc, and PhD levels, contributing to projects such as an AI-based police patrol tool and semantic IoT infrastructure monitoring. Teaching experience includes undergraduate/postgraduate courses on software analysis, requirements engineering, and advanced databases. He has collaborated with institutions like Mossos d’Esquadra and Barcelona City Council on projects like the Artificial Intelligence-assisted police patrol manager and LinDaFIX for social welfare data analysis. His work bridges academia and industry, emphasizing practical applications in transportation optimization (SORT project) and cybersecurity. Research Highlights : Conceptual modeling and automated reasoning for database schemas IoT semantic integration and critical infrastructure monitoring Artifact-centric business process modeling in UML Projects : SUDOQU (data quality via ontologies) DAGIA (threat detection in ICT infrastructures) REMEDiAL (ontology-based software development) He regularly serves on program committees for top conferences and has coordinated projects funded by Spain’s Ministry of Science. His labs and teams, notably inLab FIB, drive innovation in AI applications, DevOps benchmarking, and IoT ecosystems.

• Language Teaching
• Technology in Education
• Translation Studies
• +۳ مورد دیگر

Alfredo Álvarez Álvarez is a Professor at the University of Alcalá's Department of Modern Philology. He specializes in language teaching, particularly French as a Foreign Language (FLE), and explores the integration of technology in education. His research focuses on collaborative learning environments, digital tools for language acquisition, and intercultural communication. He has led projects like the 2011-2012 'Investigación en Tecnologías para el Aprendizaje' funded by the University of Alcalá, and holds a copyright for 'ONYVA' (2010). His work spans academic publications in journals like Revista de Comunicación de la SEECI and Sendebar , emphasizing digital pedagogy and translation studies. Research interests include: Technology-enhanced language learning Collaborative learning in virtual environments Social media applications in education Evaluation of online language resources Translation methodologies using digital tools Key publications highlight trends in: Web 2.0 tools for language teaching Analysis of online dictionaries and lexical resources Motivation and collaboration in digital learning Computer-based language testing Awards: Copyright for 'ONYVA' (2010) Grants/Projects: 'Tecnologías para el Aprendizaje' project (2011-2012) Labs/Teams: Involved in the research group 'Grupo de Investigación en Tecnologías para el Aprendizaje (ITA)', publishing in their journal Caracciolos .

• Distributed Multimedia Applications
• eHealth
• Genomic Information
• +۴ مورد دیگر

Jaime Delgado Mercé is a Full Professor at the Universitat Politècnica de Catalunya (UPC) , affiliated with the Department of Computer Architecture and the Barcelona School of Telecommunications Engineering . His work focuses on Distributed Multimedia Applications , eHealth , Genomic Information , Metadata , Privacy , and Security , with a particular emphasis on standards development. Professional Category: Professor University: Universitat Politècnica de Catalunya Department: Computer Architecture Delgado's research explores the intersection of digital security , data privacy , and multimedia standards . He has contributed to frameworks for provenance in eHealth , privacy-enhancing annotations , and secure genomic information systems . His work aligns with FAIR principles and TRUST guidelines , ensuring data integrity and ethical compliance. Recent publications include standards for JPEG Systems (2024), privacy in genomic data (2023), and security-for-safety assurance for IoMT (2023). He collaborates extensively on international standards like ISO/IEC JTC 1/SC 29/WG1, focusing on provenance metadata and secure software .

Maurizio Leottaمشاهده پروفایل

پژوهشگر

• Test Automation
• Empirical Software Engineering
• Requirements Engineering
• +۶ مورد دیگر

Maurizio Leotta is a faculty member at the Department of Informatics, Bioengineering, Robotics, and Systems Engineering (DIBRIS) at the University of Genova, Italy. His research focuses on software testing automation, empirical software engineering, requirements engineering, business process modeling, and model-driven software development. He has contributed to advancing end-to-end web testing methodologies through tools like Assessor, STILE, and SleepReplacer-GPT, emphasizing robust locators, thread sleep replacement, and parallel test execution optimization. Primary Affiliation : DIBRIS, University of Genova Research Themes : Test Automation, Gamification in Software Testing, Web Accessibility, IoT Systems Testing In recent years, Leotta has explored the integration of large language models (LLMs) in automated testing, comparing browser automation tools (Selenium, Cypress, Puppeteer, Playwright), and analyzing job market trends post-pandemic. His work spans both practical tool development (e.g., TESTQUEST, Mutta) and empirical studies evaluating testing approaches. He actively participates in program committees for testing workshops and collaborates on gamification initiatives in software development education. The 15 most recent publications reflect his expertise in test automation frameworks, gamification strategies, and accessibility enhancements. Articles cover topics such as explicit wait management in web testing, LLM applications for image captioning, and comparative studies of automation tools. His research also extends to IoT system testing, runtime verification, and job market analysis using large-scale job advertisement data.