جست‌وجوی استاد و پژوهشگر

Andrés Manuel Chacón Maldonadoمشاهده پروفایل

پژوهشگر

• Machine Learning
• Deep Learning
• Agricultural Data Science
• +۶ مورد دیگر

Andrés Manuel Chacón Maldonado is a Ph.D. student at the Data Science and Big Data Laboratory within the Computer Science Division of the Universidad Pablo de Olavide . He holds a full-time grant from the University Teaching Staff Training Program (FPU) and teaches courses in Computer Engineering and Biotechnology. Education: Bachelor's and Master's in Computer Engineering (Universidad Pablo de Olavide, 2021 and 2023). Research Focus: Advanced machine learning applied to agricultural challenges, including multimodal data integration (satellite images, meteorological records), hybrid deep learning architectures (CNNs, RNNs, Transformers), and model interpretability for actionable insights. Projects: Development of tools like FS-Studio for feature selection and studies on olive pest forecasting, phenology modeling, and earthquake prediction. Scientific Contributions: Publications in journals such as Information Fusion and Neural Computing and Applications , emphasizing practical deployment in agriculture. Collaborations: Open to partnerships in applied AI for sustainable agriculture and environmental challenges. Scientific Awards : FPU Grant for doctoral research. His work bridges theoretical advancements with real-world agricultural decision-making systems.

Manuel Hermenegildoمشاهده پروفایل

استاد

• Computer Science
• Programming Languages
• Software Engineering
• +۶ مورد دیگر

Manuel Hermenegildo is a distinguished academic holding dual appointments as a Full Professor at the Polytechnic University of Madrid (Spain) and a Distinguished Professor at the IMDEA Software Institute. He earned his Ph.D. in Computer Science from the University of Texas at Austin in 1986. His roles include Founding Director of IMDEA Software (2007–2017) and former Director of Spain's national research funding agency. He leads the CLIP Lab (UPM) and contributes to the Ciao programming language and CiaoPP analysis tool. Education: Ph.D. in Computer Science, University of Texas at Austin (1986) Research focuses on global program analysis, verification, debugging, parallelism, and logic programming. He has authored over 250 papers and received prestigious awards like the ACM Fellowship and Spain's Julio Rey Pastor Prize. His leadership roles span international organizations such as INRIA's Scientific Board and the European Association for Programming Languages and Systems (EAPS). Key contributions include static analysis frameworks, energy-aware programming models, and educational tools like the Ciao Prolog Playground. Notable collaborations include the ENTRA project for whole-system energy transparency. His work emphasizes practical applications of formal methods, with projects funded by national and international grants. Advises on policy and research strategy for EU and Spanish science initiatives.

Pierre Gantyمشاهده پروفایل

استاد پژوهشی

• Algorithmic Verification
• Automata Theory
• Formal Languages
• +۳ مورد دیگر

Pierre Ganty is an Associate Research Professor at the IMDEA Software Institute , Madrid. He holds a joint PhD in Computer Science from the Université Libre de Bruxelles (Belgium) and the Università di Genova (Italy). His research focuses on algorithmic verification, automata theory, formal languages, and abstract interpretation. Affiliations: IMDEA Software Institute (since 2009) Education: PhD in Computer Science (2007, ULB/Genoa), Postdoc at UCLA (2007–2009) Research Interests: Verification of infinitely-state systems, automata theory, formal methods, abstract interpretation, and Petri nets. He develops tools like ωVPLInc and forklift for formal verification. Recent Work Trends: Focus on automata-based verification techniques, language inclusion problems, and applications in distributed systems. His recent papers address reachable simulations, hyperproperties for population protocols, and timed automata analysis. Awards: Marie Curie COFUND Fellowship (2010–2013), Ramon y Cajal grant (2018–2023) Advising and Grants: Supervised PhD students including Kyveli Doveri and Nicolas Manini. Active in conference organization (e.g., RP 2025 co-chair), and serves on program committees for LICS, CONCUR, and TACAS. Labs/Teams: Leads research on formal methods at IMDEA, collaborating on tools like MIST for counter system analysis.

• Medical Translation
• Healthcare Interpreting
• End-of-Life Communication
• +۳ مورد دیگر

ELENA PÉREZ ESTEVAN is an Assistant Professor at the University of Alicante's Department of Translation and Interpreting, part of the Faculty of Translation and Interpreting. Her academic roles include teaching courses in medical translation, international organization translation, and interpreting for legal/judicial contexts. She is affiliated with research groups INCOGNITO (Interculturality, Cognition, Interpretation, Translation) and LOGOI (Laboratory for General Observation of Speakers and Interpreters). Education includes a PhD in Translation and Interpreting (2022), a Master's in Medical Translation (2016), and a degree in Translation and Interpreting (2014). She also holds a Master's in Teacher Training (2019). Research focuses on healthcare interpretation in end-of-life scenarios, gender bias in translation, and professional English training. Recent work includes studies on interpreter-mediated grief counseling, automated gendered language translation, and pandemic-era healthcare communication needs. Collaborates on research projects such as the INCOGNITO group's intercultural communication studies (2021-2023) and the MESTISA project exploring stress in social interpretation (2024). Active in international conferences like CIUTI 2022 and the 2024 Lublin Translation Symposium. Teaching responsibilities include undergraduate courses in translation theory, technical-scientific translation (English-Spanish), and legal/police interpreting. Supervises final-year projects in translation studies.

• Public Service Interpreting and Translation (TISP/PSIT)
• Intercultural and Interlinguistic Mediation
• Multiculturalism and Multilingualism
• +۷ مورد دیگر

Bianca Vitalaru is a Professor at the Universidad de Alcalá , specializing in Modern Philology . She actively participates in research groups focusing on Training and Research in Public Service Translation and Interpreting and Research on English Language Teaching , with emphasis on technology integration, intercultural mediation, and corpus pragmatics. Research Lines : Intercultural Mediation, Public Service Translation (TISP/PSIT), Technology in Translation, Legal/Healthcare Interpretation Key Projects : DIALOGOS (2022-2025), Technology at the Service of PSIT in Crisis Situations (2018), MOOC Development for PSIT (2018) Her work bridges digital tools with social inclusion , particularly in prison settings and multicultural environments. She has contributed to understanding terminology in legal/administrative contexts, ethics in public service translation, and cross-cultural dynamics in language assistant programs. Recent publications focus on: 2025 : EU work packages on PSIT for lesser diffusion languages 2024 : Legal genre analysis, technology-driven employability, and pandemic-era translation challenges 2023 : Healthcare communication for immigrants, prison system language rights 2022 : Labor market perspectives and skill development in PSIT She collaborates on projects like Pragmática de corpus e interpretación telefónica (2022) and Machine translation errors (2023), while supervising theses on topics like Terminología jurídica and Wikis en traducción .

Miguel García Folgadoمشاهده پروفایل

پژوهشگر

• Dark Matter Phenomenology
• Deep Learning
• High-Performance Computing (HPC)
• +۳ مورد دیگر

Miguel García Folgado is a Momentum Postdoctoral Researcher at the Institute of Corpuscular Physics (IFIC) under CSIC, with a PhD in Astroparticle Physics from the University of Valencia. He holds dual expertise in theoretical physics research and high-performance computing (HPC) systems administration. His academic journey includes a BSc and MSc in Physics from the University of Valencia, followed by a PhD exploring dark matter models and deep learning applications (2016-2021). He has held postdoctoral positions at the Polytechnic University of Valencia and IFIC, focusing on AI-driven climate change solutions and particle physics phenomenology. Research interests span dark matter phenomenology, deep learning applications in physics and environmental science, and HPC infrastructure optimization. His work integrates theoretical physics with computational tools like TensorFlow/PyTorch and C++ for high-performance simulations. He has developed predictive models for urban traffic, wildfire emissions, and political sentiment analysis using NLP techniques. Miguel is actively involved in maintaining the GLUON HPC cluster at IFIC, managing distributed storage systems (e.g., MinIO), and automating workflows via Ansible. He has authored multiple peer-reviewed articles in journals like JCAP and JHEP, and his doctoral work earned the Extraordinary Doctorate Award. His technical skills include system administration (Linux/RedHat), database management (MySQL/PostgreSQL), and static website development using Hugo.

• Artificial Intelligence
• Machine Learning
• Data Mining
• +۶ مورد دیگر

Juan A. Sánchez is an Associate Professor at the University of Murcia's Computer Science Faculty, specializing in the Department of Communications and Information Engineering. His research spans two primary domains: (1) Artificial Intelligence applied to neurological disease interpretation (Alzheimer's/Parkinson's) since 2017, and (2) Network Protocols for Wireless Sensor Networks and Vehicular Networks from his PhD/postdoctoral work. B.Sc., M.Sc., and Ph.D. in Computer Science from University of Murcia (1997-2006) Co-developer of JMP library for concurrent programming education Contributor to R&D projects: BRAIN, MIND, EURO6IX, 6POWER His teaching portfolio includes Concurrent Programming, Object-Oriented Programming, and foundational CS courses. He has held administrative roles as Vice Dean of Quality Assurance (2008-2012) and Vice Dean of Studies (2012-2017), and created educational tools like Bookle for scheduling academic meetings.

• Remote Sensing
• Applied Ecology
• Forest Fire Management
• +۴ مورد دیگر

Antonio Alfonso Fernandez Manso is a University Professor at the University of León, Spain, affiliated with the School of Agricultural and Forestry Engineering and the Department of Engineering and Agricultural Sciences. His research is conducted within the GEAT (Applied Ecology and Remote Sensing) group, focusing on geospatial technologies for environmental monitoring and forest fire management in Mediterranean ecosystems. His educational background includes dual doctoral achievements: a 2000 PhD from the University of Valladolid on "Monitoring of natural resources in Castilla y León using satellite images and GIS" (supervised by Dr. M. Pilar Illera Gutiérrez and Dr. José Antonio Delgado de la Mata), and a 2024 PhD from the University of Alicante on "Literature and Nature in the United States of America: History, Ideas, Anthology and Creative Proposals around its National Parks" (supervised by Dr. Antonio Cortijo Ocaña). Professor Fernandez Manso's research spans remote sensing applications for fire ecology and environmental humanities. His technical work develops advanced models for evapotranspiration estimation, fire severity mapping, and post-fire recovery assessment using Landsat, Sentinel-2, and hyperspectral data. Concurrently, he explores literary-nature relationships through American national park studies, creating a unique interdisciplinary profile bridging geospatial science and environmental literature. Analysis of his 2022-2025 publications reveals dominant trends in wildfire technology innovation, including FIREMAP software development, hyperspectral fire risk mapping, and socioeconomic impact studies. His work demonstrates consistent methodological evolution from spectral indices toward integrated machine learning and cloud-based solutions, while maintaining dual focus on Mediterranean fire ecology and transatlantic nature literature. As a core member of the GEAT research group, he contributes to applied ecological studies that translate remote sensing data into practical forest management strategies, particularly for fire-prone agricultural and forestry landscapes in northwestern Spain.

• Gravitational Waves
• Astrophysics
• Neutron Stars
• +۵ مورد دیگر

David Benjamin Keitel is a Professor in Gravitational Physics at the University of the Balearic Islands (UIB) and a member of the LIGO Scientific Collaboration (LSC) since 2011. He leads gravitational wave research, focusing on neutron stars and black holes, with expertise in data analysis, numerical relativity simulations, and waveform modeling. His work spans astrophysical interpretation of cosmic mergers and practical parameter estimation for challenging gravitational wave detections. Alumni of University of Bonn (with Stony Brook experience) and Leibniz University Hannover (PhD at Albert Einstein Institute) Active roles: LSC Council member, Continuous Wave Analysis Group co-chair, Einstein Telescope & LISA collaborations Key contributions include: Director of post-merger remnant searches for GW170817 Lead editor of LIGO-Virgo-KAGRA Science Summaries Code reviewer/maintainer for LALSuite continuous wave software Scientific accolades: I3 research excellence certificate Two positive six-year evaluations Marie Skłodowska-Curie Fellow (2016-2018) Dennis Sciama Research Fellow (2018-2019) Beatriz Galindo Distinguished Research Fellow (2020-2023) Teaching & grants: Supervised 2 PhDs, 2 master's theses, and 2 final degree projects Principal Investigator for national grant CNS2022-135440 (MCIN-AEI) and RES computational projects Active in Artemisa machine learning platform (5 usage periods) Teaches undergraduate (Physics II, Nuclear/Particle Physics, Relativity/Cosmology) and master's level courses (Gravitational Waves, Mass Data Processing)

• Artificial Intelligence
• Multi-Agent Systems
• Explainable AI
• +۳ مورد دیگر

Sergio Alvarez Napagao is a researcher at the Polytechnic University of Catalonia (UPC), affiliated with the Department of Computer Science and the Barcelona School of Informatics (FIB) . He is actively involved in the IDEAI-UPC and KEMLG research groups, focusing on Artificial Intelligence, Multi-Agent Systems, and Explainable AI. University: Polytechnic University of Catalonia School: Barcelona School of Informatics (FIB) Department: Department of Computer Science Academic Rank: Researcher His research spans diverse domains including healthcare analytics (antibiotic therapy outcomes, sick leave prediction), urban sustainability (water demand management), and ethical AI applications in high-performance computing. Recent work emphasizes reinforcement learning explainability, policy graph modeling, and AI lifecycle orchestration in Industry 5.0 contexts. Key articles highlight his contributions to Explainable AI , Agent-Based Modeling , and Reinforcement Learning across healthcare, urban planning, and pandemic response. Collaborative projects involve cross-disciplinary teams at institutions like the Barcelona Supercomputing Center. He has participated in competitive R&D projects such as the EU PROVENANCE initiative and the knowlEdge Project , which focus on AI in Industry 4.0 and edge-cloud integration. His technical expertise includes data science, policy graph modeling, and ethical AI frameworks.

• Financial Economics
• Accounting
• Corporate Governance
• +۷ مورد دیگر

PEDRO SERGIO CARMONA IBAÑEZ is a Professor in the Department of Accountancy at the Faculty of Economics, University of Valencia. His research focuses on financial economics, audit quality, corporate governance, and machine learning applications in business failure prediction. Education: Doctorate in Economics and Accounting (2007) from University of Valencia. His work integrates advanced methodologies like XGBoost, fsQCA, and GLM to analyze environmental risks, ESG factors, and governance structures in business sustainability and failure. He has extensively studied cooperative enterprises and banking sector distress. Recent publications highlight trends in explainable AI for financial risk modeling, ESG integration in investment analysis, and configurational approaches to governance compliance. Scientific Awards: No awards explicitly mentioned in available texts.

Oscar Jose Pellicer Valeroمشاهده پروفایل

پژوهشگر

• Artificial Intelligence
• Machine Learning
• Biomedical Engineering
• +۷ مورد دیگر

Oscar Jose Pellicer Valero is a researcher at the Universitat de València, affiliated with the School of Engineering and the Department of Electronic Engineering. He is a member of the Intelligent Data Analysis Laboratory (IDAL) and the Image Processing Laboratory (IPL), both part of the ERI research institute. He completed his PhD in 2022 with a thesis on biomechanical modeling and machine learning for medical image registration in prostate cancer therapy. His research spans artificial intelligence applied to both biomedical and environmental challenges. Key areas include post-COVID syndrome analysis, medical image processing, digital twins of Earth, and extreme climate event modeling. He develops AI-driven tools for data analysis, such as the AIDE and XAIDA4Detection toolboxes, contributing to both healthcare and environmental science. His recent publications (2023–2025) show a strong trend in applying deep learning and AI to understand complex systems—ranging from human health (e.g., long-COVID symptoms, fibromyalgia, renal function) to Earth system science (e.g., fog nowcasting, compound droughts). The interdisciplinary nature of his work bridges medicine, engineering, and climate science. Oscar has not yet received any explicitly mentioned scientific awards. However, his high publication output and involvement in multicenter studies (e.g., LONG-COVID-EXP) indicate active research leadership. He has not supervised any students listed in the data, but his role as a postdoctoral researcher suggests future advising responsibilities. He is involved in software development for scientific applications and contributes to open data and tool dissemination. His work is increasingly focused on explainable AI and digital twins, reflecting emerging trends in trustworthy and human-centered AI systems.

• Game Localisation
• Video Games Accessibility
• Audio Description
• +۴ مورد دیگر

Maria Carme Mangiron Hevia is a Professor in the Department of Translation and Interpreting and East Asia Studies at Universitat Autònoma de Barcelona's Faculty of Translation and Interpreting. With a PhD in Translation and Interpreting from UAB (2006) and an MA in Anglo Irish Literature and Drama from University College Dublin (1999), she has established herself as a leading researcher in game localization and accessibility studies. PhD in Translation and Interpreting, Universitat Autònoma de Barcelona (2006) MA in Anglo Irish Literature and Drama, University College Dublin (1999) BA in Translation and Interpreting, Universitat Autònoma de Barcelona (1995) Her research focuses on the intersection of translation studies and digital media accessibility, particularly in video games. She has pioneered work on audio description in gaming environments, cognitive accessibility features, and cultural mediation through fansubbing. Her fingerprint reveals strong activity in Game Localisation (100%), Video Games Accessibility (97%), Audio Description (44%), and Audiovisual Translation (24%). Analysis of her recent publications shows a clear trend toward practical applications of accessibility research in gaming, with increasing emphasis on cognitive accessibility and inclusive design frameworks. Her work bridges theoretical translation concepts with real-world implementation challenges in the gaming industry. Principal Investigator for EU-funded projects including InclusiVRity (2024-2027) and FROM WRITTEN TO ORAL TEXTS (2023-2026) Coordinator of research on corpus linguistics and digital translation Recipient of European Regional Development Fund and Ministerio de Ciencia e Innovación grants Professor Mangiron Hevia has supervised 87 research projects including doctoral theses on video game accessibility for visually impaired users. She leads the TransMedia Catalonia research group and collaborates extensively with European institutions on accessibility initiatives. Her work with Maria Eugenia Larreina Morales on audio description in games exemplifies her commitment to translating research into practical accessibility solutions.

Ingrid Cáceres Würsigمشاهده پروفایل

استاد

• Translation History
• Interpreting Studies
• Reception Studies
• +۱۲ مورد دیگر

Ingrid Cáceres Würsig is a Professor of Translation and Interpreting at the University of Alcalá, affiliated with the Department of Modern Philology in the Faculty of Philosophy and Letters. She serves as Vice Dean of Quality and is a key member of the FITISPos and RECEPTION research groups, focusing on public service translation, interpreting, and interdisciplinary reception studies. Her research spans translation history , reception of Spanish-German texts , literary and cultural reception , myth criticism , and translation pedagogy . She has led and participated in numerous national and regional research projects, often integrating digital tools and open knowledge platforms like Wikipedia. Her recent publications and conference presentations reflect a strong interest in digital humanities , AI in language training , and hybrid teaching models . She has advised several PhD students on topics ranging from machine translation to cultural stereotypes in Cold War cinema. Her scholarly output shows consistent engagement with interdisciplinary themes, particularly at the intersection of history, language, and cultural identity. Scientific contributions include: Co-director of the Master’s Program in Conference Interpreting Coordinator of the iDEALE teaching innovation group Collaborator with CSIC, Wikimedia Spain, and digital repositories (POETRY-15, Portal of the History of Translation in Spain) Principal investigator and co-investigator in multiple funded projects (e.g., PID2022-137506OB-I00, AGLAYA) She actively promotes service-learning and digital literacy in translation education, positioning her work at the forefront of modern academic and pedagogical innovation.

• Formal Concept Analysis
• Computational Linguistics
• Data Mining
• +۳ مورد دیگر

Jaume Baixeries i Juvillà is a Professor in the Department of Computer Science at the Universitat Politècnica de Catalunya (UPC), affiliated with the Escola Politècnica Superior d'Enginyeria de Vilanova i la Geltrú (EPSEVG). He is a core member of the LQMC research group (Lingüística Quantitativa, Matemàtica i Computacional) and has been involved in over 70 academic activities since 2000. His work bridges formal concept analysis, computational linguistics, and data mining, with a focus on dependency structures, quantitative linguistics, and algorithmic methods. Affiliations: LQMC Group, Department of Computer Science (UPC), EPSEVG. Education: PhD in Computer Science (2005, UPC thesis on lattice representations of dependencies). His research interests include formal concept analysis (FCA), dependency modeling, computational linguistics, and applications in quantitative linguistics such as semantic analysis, polysemy studies, and bilingual aphasia analysis. His recent work explores semanticity measures, statistical learning, and clinical applications in language disorders. He has led or participated in projects funded by Spanish and Catalan research programs, including grants focusing on linguistic complexity and interdisciplinary data analysis. He actively contributes to conferences like Formal Concept Analysis (FCA) and International Quantitative Linguistics Conferences, serving on program committees. His publications span journals in computer science (e.g., International Journal of Approximate Reasoning ), linguistics ( Languages ), and interdisciplinary fields ( Computers in Biology and Medicine ). His work on dependency covers, FCA-based algorithms, and language universals (e.g., Zipf’s laws) demonstrates cross-disciplinary impact. Grants & Projects: Includes leadership in projects like ‘Lingüística Quantitativa, Matemàtica i Computacional’ and ‘Semàntica de les paraules del català: teoria i aplicacions clíniques,’ focusing on Catalan language studies and clinical applications. Collaborates with researchers in linguistics, computer science, and medicine. Labs/Teams: Co-leads the LQMC group, which integrates quantitative methods, formal mathematics, and computational tools to study language and data patterns.