جستجوی استاد راهنمای دانشگاهی

Piotr Przybyłaمشاهده پروفایل

استادیار

• Natural Language Processing
• Misinformation Detection
• Adversarial Attacks on Text Classifiers
• +۵ مورد دیگر

Piotr Przybyła is a tenure-track Assistant Professor at Universitat Pompeu Fabra in Barcelona, Spain, where he researches in the TALN (Natural Language Processing) Research Group. He maintains a significant affiliation with the Linguistic Engineering Group at the Institute of Computer Science, Polish Academy of Sciences (ICS PAS) in Warsaw, Poland, where he completed his PhD in Computer Science. Previously, he worked as a research fellow at the National Centre for Text Mining (NaCTeM) at the University of Manchester. Przybyła's research focuses primarily on Natural Language Processing with particular emphasis on misinformation detection, adversarial attacks on text classifiers, text simplification, and Polish language processing. His work bridges theoretical NLP with practical applications for credibility assessment and language understanding. He has developed innovative approaches for testing the robustness of text classifiers against adversarial examples and has made significant contributions to Polish language resources and processing tools. His recent publications demonstrate a strong trajectory in examining the robustness of NLP systems, particularly in the context of misinformation detection and credibility assessment. His work spans from foundational research on language model behavior to practical applications in Polish language processing and text simplification. The ERINIA project, funded by a prestigious Marie Skłodowska-Curie Postdoctoral Fellowship, represents a significant contribution to understanding how misinformation detection systems can be made more robust against adversarial attacks. Marie Skłodowska-Curie Postdoctoral Fellowship for the ERINIA project Computing grant of 10,000 hours on the Athena supercomputer for accelerating work in the ERINIA project Przybyła actively contributes to the NLP community through conference organization, shared tasks (such as coordinating the InCrediblAE shared task for CheckThat! 2024), and developing open-source tools like Plainifier for multi-word lexical simplification. His work demonstrates a commitment to both advancing NLP research methodology and addressing practical challenges in misinformation detection and language understanding across multiple languages, with special attention to Polish language processing.

Luis Merino Cabañasمشاهده پروفایل

استاد

• Robotics
• Systems Engineering
• Automation
• +۵ مورد دیگر

Luis Merino Cabañas is a Professor at the Universidad Pablo de Olavide , affiliated with the Deporte e Informática department and leading the SRL Service Robotics Laboratory . His research focuses on robotics, systems engineering, and automation, with a specialization in human-robot interaction and path planning. Education : PhD in Systems Engineering from the Universidad de Sevilla (2007), where his thesis explored cooperative perception techniques for multiple unmanned aerial vehicles in forest fire detection. Research Trends : Recent work (2023–2025) emphasizes 3D path planning, sensor fusion (LiDAR, radar, inertial systems), neural distance fields for safe navigation, and socially aware robotics. His studies integrate AI, genetic programming, and multi-modal perception for applications in construction, healthcare, and GNSS-denied environments. Labs & Teams : He leads the SRL Service Robotics Laboratory , contributing to projects like the Skyeye team and BIM2ROS integration for construction robotics.

Carlos Lopezosaمشاهده پروفایل

استاد مهمان

• SEO
• Web Visibility
• Systematic Reviews
• +۴ مورد دیگر

Carlos Lopezosa is a Visiting Professor at the University of Barcelona (UB) under a Margarita Salas postdoctoral fellowship. Previously, he held an Associate Professor position at the Pompeu Fabra University (UPF), where he taught across the Faculty of Communication, including Journalism, Advertising, and Audiovisual Communication. He also coordinated the Online Master's in SEO/SEM at the Barcelona School of Management (UPF). His research focuses on web visibility strategies (SEO, voice search, social media curation), qualitative methodologies (systematic reviews, semi-structured interviews), and AI applications in digital journalism. He is affiliated with the UB's Faculty of Information and Audiovisual Media, contributing to research groups like Professorat GIDD. His work bridges academic research with practical media strategies, emphasizing ethical AI integration and algorithmic transparency. Key research areas include news curation, AI-driven data analysis, and digital media ethics. Lopezosa has published extensively in journals like Future Internet , DOXA Comunicación , and El Profesional de la Información , with over 50 peer-reviewed articles since 2018. His current projects explore AI's role in newsrooms, Google News algorithms, and multidimensional journal evaluation frameworks. Education: Doctor in Information Sciences Research Interests: SEO strategies, content curation, AI in media, systematic reviews Grants: Margarita Salas Postdoctoral Fellowship (UB) His work often addresses challenges in digital media visibility, ethical AI implementation, and the evolving role of algorithms in news dissemination. Lopezosa collaborates with institutions like the CRICC research center and frequently presents at international conferences on digital media trends.

Sonia Vanierمشاهده پروفایل

استاد

• Artificial Intelligence
• Operations Research
• Network Optimization
• +۴ مورد دیگر

Sonia Vanier is a Professor in the Department of Computer Science at École Polytechnique, where she holds multiple leadership positions: Head of the 'Trusted and Responsible AI' Chair (X/Crédit Agricole), Head of the 'Optimization and AI for Mobility' Chair (X/SNCF), Head of 3A, and Scientific Manager of Industrial Relations for both the Department and the Computer Science Laboratory (LIX). She coordinates the GdT OR (Network Optimization) working group and leads the REST (Energy, Services and Transport Networks) research axis of the CNRS GDROD, while serving on its scientific council. Her research develops decision support tools for complex industrial problems through hybrid approaches combining Artificial Intelligence and Operations Research , with focus areas including Network Optimization, ethical AI systems, sustainable computing, and trustworthy AI frameworks. Her work bridges theoretical foundations with applications in telecommunications, transportation, and cybersecurity. Publications demonstrate strong emphasis on optimization techniques (branch-and-price, cutting planes) applied to wireless networks, AI safety, and security challenges. Recent works explore LLM memorization, signomial programming, and multi-commodity flow problems, showing consistent integration of OR with machine learning for industrial-scale problems. Awards: Research Award and Innovation Award, Telecom Valley Association ALOES Orange Innovation Project She leads major industrial-academic partnerships through the Crédit Agricole and SNCF chairs, managing research grants focused on responsible AI deployment and mobility optimization. As Scientific Manager of Industrial Relations, she oversees industry collaborations for LIX laboratory. Affiliated with the Computer Science Laboratory (LIX), she directs the 3A research group and contributes to national initiatives through CNRS GDROD, coordinating research in network optimization and sustainable systems.

• Translation Studies
• Cognitive Translation
• Emotion in Translation
• +۴ مورد دیگر

Beatriz Naranjo Sanchez is a researcher at the University of Murcia, Spain, currently affiliated with the Translation, Didactics and Cognition research group and previously with the Translation, Lexicology and Writing Group. Her work bridges translation studies, cognitive psychology, and musicology through experimental methodologies. She earned her PhD from the University of Murcia in 2017 with the dissertation La influencia de la música sobre la calidad y la creatividad en traducción literaria (inglés-español, inglés-italiano) una aproximación estético-psicológica , supervised by Dr. Ana María Rojo López. Her research centers on psychological and emotional dimensions of translation processes, particularly examining how background music influences literary translation creativity, how anger affects decision-making with offensive content, and emotional processing in dubbing. She employs cognitive-experimental approaches to investigate narrative engagement, vocal qualities in emotionally charged scenes, and pandemic-related stressors on evaluative language translation. Analysis of her 2015-2023 publications reveals consistent focus on music-translation interactions and emotional variables, with methodological emphasis on laboratory experiments, psycholinguistic measurements, and cognitive assessments. Her work demonstrates interdisciplinary innovation through the fusion of aesthetic theory, cognitive science, and translation practice. Scientific awards: No awards documented in provided sources. Regarding advising and grants, while she supervises research within university groups, no specific students or funded projects were mentioned. Her institutional affiliation suggests collaborative research within translation psychology frameworks. She actively contributes to the Translation, Didactics and Cognition research group, which investigates cognitive-affective translation processes through experimental paradigms, likely involving lab-based studies on emotional and musical variables in professional translation contexts.

Glyn V. Morrillمشاهده پروفایل

استاد

• Natural Language Processing
• Computational Linguistics
• Formal Logic
• +۳ مورد دیگر

Glyn V. Morrill is a full Professor in the Department of Computer Science at the Universitat Politècnica de Catalunya. His academic career includes habilitation as a catedrático (full professor) by ANECA and receipt of the ICREA Acadèmia 2012 award. He specializes in the intersection of computational linguistics, formal logic, and digital humanities, focusing on type logical grammar and the displacement calculus. Education: BA (Cambridge), MSc and PhD (University of Edinburgh). Research emphasizes computational environments for analyzing language syntax and semantics using logical frameworks. Notable contributions include the CatLog3 parser/theorem-prover and foundational work on Lambek calculus extensions. He has supervised PhD students such as Inés Corbalán, Carles Cardó, and Oriol Valentín. Recent research trends involve parsing algorithms for discontinuous grammatical structures, formal semantics integration, and computational coverage of logical grammars. His work bridges theoretical linguistics with practical computational tools, advancing automated analysis of language phenomena. Awards: ICREA Acadèmia 2012 (highlighted in Scientific Awards section). Active in academic leadership, including organizing Formal Grammar conferences and co-editing volumes in computational linguistics.

• Computational Linguistics
• Text Summarization
• Information Extraction
• +۶ مورد دیگر

Horacio Saggion is the Chair in Computer Science and Artificial Intelligence at the Department of Information and Communication Technologies, Universitat Pompeu Fabra. He leads the TALN Group and the Large Scale Text Understanding Systems Lab. His research focuses on Computational Linguistics, with specialties in Text Summarization, Information Extraction, and Semantic Analysis. He coordinates the Horizon Europe iDEM project on inclusive democratic spaces and previously led the SignON project for Sign Language Translation. Key technologies include the SUMMA Summarization system and the Dr Inventor Text Mining Library. Education: PhD, MSc, and Licenciatura in Computer Science. Research Interests: Text simplification for accessibility, sign language translation, misinformation detection, and ethical AI applications. His work bridges natural language processing with societal needs such as clear communication in public administration. Grants & Projects: Coordinator of iDEM (Horizon Europe), PI of SignON, Simplext, and Able to Include. Involved in BEA shared tasks and CLEF labs. Active in organizing workshops like TSAR at EMNLP. Labs & Teams: Head of TALN Group and Text Understanding Lab. Collaborations include Universitat Pompeu Fabra's interdisciplinary initiatives and industry partnerships for technology commercialization.

• Lexicology
• English for Specific Purposes
• Language of Color
• +۳ مورد دیگر

Isabel Espinosa Zaragoza is an Assistant Professor in the Department of English Philology at the University of Alicante, Faculty of Philosophy and Letters I. She holds a PhD in Linguistic Studies (cum laude, 2022) and is renowned for her work in lexicology and English for Specific Purposes, particularly the language of color. PhD in Linguistic Studies (cum laude, University of Alicante, 2022) Master’s in English and Spanish for Specific Purposes (University of Alicante, 2016, extraordinary award) B.A. in English Philology (University of Alicante, 2014, extraordinary award) Her research focuses on lexical creativity, color terminology, and natural language processing applications for accessibility. She contributes to projects like CLEARTEXT (CENID) and leads in text simplification for cognitive disabilities. Published in journals: Procesamiento del lenguaje natural , Feminismo/s , Color Culture and Science Journal Book chapters with Cambridge Scholars Publishing and Universidad de Alicante She participated in 15 conferences (PICS 2022, BICLCE 2024) and contributed to 8 public research projects (2019-2025), including EU-funded initiatives. Teaching spans 10 years across 12 courses in English for International Relations, Cultural Management, and Computational Linguistics.

Maximilian Muhnمشاهده پروفایل

دانشیار

• Empirical Accounting Research
• Financial Transparency
• Corporate Disclosure
• +۵ مورد دیگر

Maximilian Muhn is an Associate Professor of Accounting at the University of Chicago Booth School of Business. He joined Chicago Booth as an assistant professor of accounting in 2019 and was promoted to Associate Professor. His academic career focuses on empirical accounting research with particular emphasis on financial transparency and disclosure practices. Muhn received his PhD in accounting from Humboldt University of Berlin and holds an MSc and BSc in business administration from the University of Münster, Germany. Prior to his academic career, he gained professional experience in consulting (McKinsey & Company and Boston Consulting Group), auditing (KPMG and Deloitte), and management accounting (BASF and ThyssenKrupp Steel). His research primarily investigates the determinants and consequences of firms' financial transparency, as well as the effects of financial market and transparency regulation. Muhn employs diverse methodologies including field experiments, archival studies, and applications of large language models in financial analysis. His work examines how different stakeholders (investors, consumers, regulators) use and respond to corporate disclosures. Muhn teaches Financial Accounting in the Evening and Weekend MBA Program at Chicago Booth, where he aims to enable students to 'speak' the language of accounting and understand its economic foundations. His teaching emphasizes practical applications of accounting concepts in business decision-making. His scholarly contributions include publications in top accounting journals such as the Journal of Accounting Research, with recent work focusing on risk disclosures, financial transparency of private firms, consumer use of firm disclosure, and the application of generative AI in financial analysis. His research often combines traditional accounting approaches with innovative methodologies like large-scale field experiments. Muhn has collaborated with prominent scholars including Luzi Hail, David Oesch, Joachim Gassen, and Christian Leuz. His research has practical implications for corporate disclosure practices, regulatory policies, and investor decision-making. He maintains an active research agenda with several working papers in areas including private firm disclosure, generative AI applications in finance, and social disclosure decisions.

Alysson Neves Bessaniمشاهده پروفایل

دانشیار

• Distributed Systems
• Dependability
• Fault Tolerance
• +۵ مورد دیگر

Alysson Neves Bessani is an Associate Professor at the Informatics Department of Faculdade de Ciências da Universidade de Lisboa, Portugal, and a member of the LaSIGE research group. His work focuses on distributed systems, Byzantine fault tolerance, and cybersecurity, with significant contributions to blockchain consensus and intrusion-tolerant architectures. Academic Rank: Associate Professor University: Universidade de Lisboa School: Faculdade de Ciências Department: Informatics Department Research Groups: LaSIGE, Navigators Research Interests span distributed systems design, Byzantine fault tolerance, adaptive consensus protocols, and secure multi-cloud storage. His work bridges theoretical foundations with practical implementations like the BFT-SMaRt library and the Vawlt startup. Scientific Awards include multiple Test-of-Time Awards (DSN'24, DSN'21), IBM Faculty Award (2017), and Best Student Paper at Middleware'19. He has advised numerous PhD and Master’s students, contributing to advancements in fault-tolerant systems. Publications (15 most recent) reveal trends in Byzantine consensus optimization, blockchain integration, and AI-driven threat detection. His interdisciplinary work combines distributed computing with genomics and IoT security, reflecting a broad impact across computer science.

• Scholarly Communication
• Information Science
• Research Evaluation
• +۵ مورد دیگر

Ángel M. Delgado-Vázquez serves as Associate Professor in Library and Information Science at Pablo de Olavide University, concurrently holding the position of Head of Learning and Research Support Services at the university's Library/CRAI. He is formally affiliated with the Department of Geography, History and Philosophy while coordinating the Official Master's Degree in History and Digital Humanities and directing the Postgraduate Certificate in Research Support Services. His academic credentials include a Humanities degree from Pablo de Olavide University, a Library and Information Science degree from Universitat Oberta de Catalunya, and a Master's in Libraries and Digital Information Services from Universidad Carlos III de Madrid. These qualifications underpin his specialization in scholarly communication infrastructure and research evaluation systems. Delgado-Vázquez focuses on the intersection of digital literacy, open science, and responsible research assessment, with particular expertise in bibliometric methodologies and academic publishing ethics. His work addresses critical challenges in scholarly communication including AI integration in research workflows, metadata standardization for scientific journals, and ethical surveillance mechanisms within research support ecosystems. Over fifteen years, he has developed training programs for all academic levels on research data management and scholarly publishing practices. Analysis of his recent publications reveals a pronounced trend toward reforming scientific evaluation frameworks, with 70% of 2023-2025 works examining CoARA principles, narrative bibliometrics, and the implications of journal retractions ('Fallen Journals'). His research consistently emphasizes practical solutions for Spanish academia within evolving European open science policies, particularly regarding ANECA accreditation procedures and sexenios evaluation criteria. As an institutional leader, he contributes to national higher education policy through membership in ANECA's Evaluation and Monitoring Commission and previously collaborated with the EDUINNO Eduinnovagogía research group. His service initiatives include designing professionalization programs for research support staff and advising on digital competence frameworks for university students and researchers.

Luis Miguel Bergasaمشاهده پروفایل

استاد

• Perception Systems
• Autonomous Vehicles
• Deep Learning
• +۴ مورد دیگر

Luis Miguel Bergasa is a Full Professor at the Department of Electronics, University of Alcalá (UAH), with a career spanning over 25 years. He leads the RobeSafe Lab (since 2010) and serves as Director of Digital Transformation at UAH (since 2022). His academic roles include heading the Department of Electronics (2004–2010) and coordinating multiple educational programs. He teaches Perception Systems (Master in Industrial Engineering) Intelligent Control Systems (Computer Science) Computer Vision (Computer Science) His research focuses on Perception Systems for Intelligent Vehicles , emphasizing driver behavior analysis, scene understanding, and sensor fusion via deep learning. He has authored over 300 papers and holds 9 patents. Notable recognitions include being ranked #81 in Computer Science (Spain) by Research.com (2025) and receiving 30+ awards in Robotics/Automotive fields. Recent publications highlight advancements in Transformer-based driver action recognition (2025) Infrastructure-vehicle cooperative frameworks (2025) 3D semantic segmentation for autonomous perception (2024) Simulation-to-reality gap bridging (2024) Scientific Leadership Senior Editor, IEEE Transactions on ITS (2025) International Program Committee roles in 15+ conferences (2024–2025) Co-founder of Vision Safety Technologies Ltd (2009–2016) He supervises 9 active PhD students and has advised 14 former PhD candidates. His group collaborates with institutions in Germany, USA, China, and Spain, including KIT, UC Berkeley, and Northwestern Polytechnic University.

• Machine Learning
• Cybersecurity
• IoT
• +۳ مورد دیگر

Pedro Miguel Sanchez Sanchez is a researcher affiliated with the University of Murcia , specializing in Machine Learning , Cybersecurity , and IoT . He earned his doctorate in 2024 with the thesis Identical IoT device identification via hardware performance fingerprinting and Machine Learning , supervised by Dr. Alberto Huertas Celdrán and Dr. Gregorio Martínez Pérez. Research Interests Pedro's work focuses on applying Machine Learning and Federated Learning to solve critical challenges in Cybersecurity and IoT environments. His research includes: Developing decentralized federated learning frameworks (e.g., Flighter, ProFe) for secure and efficient model training. Designing malware detection systems using system call data and large language models . Enhancing IoT device authentication via hardware fingerprinting techniques. Exploring moving target defense strategies to counter zero-day attacks on IoT networks. Building knowledge graphs for cyber defense applications. Recent Publications Pedro's 2025–2024 publications demonstrate a strong focus on decentralized federated learning , malware mitigation , and hardware-based security . Key trends include: Advancements in zero-shot learning for multilingual tasks on edge devices. Security frameworks (e.g., Cyberforce, Sentinel) for military reconnaissance and industrial IoT . Behavioral analysis techniques for ransomware detection and continuous authentication . Robustness studies on federated learning architectures under adversarial conditions. Creation of benchmarks like LwHBench for hardware performance evaluation. Collaborations He has collaborated with researchers in the Intelligent Systems and Telematics group, contributing to projects in 5G security , crowdsensing platforms , and trusted execution environments .

• Data Mining
• Bioinformatics
• Machine Learning
• +۳ مورد دیگر

Domingo Savio Rodríguez Baena is a Professor at Pablo de Olavide University, affiliated with the Department of Computer Languages and Systems. His research focuses on data mining, bioinformatics, and computational biology, with a particular emphasis on biclustering algorithms, gene co-expression networks, and high-performance computing applications. PhD in Engineering, Data Science, and Bioinformatics (2012) from Pablo de Olavide University His work spans interdisciplinary domains, including recommender systems , livestock behavior analysis , and biological data interpretation . Recent articles highlight his contributions to multi-GPU optimization , ensemble learning , and historical database construction . Key collaborations include the DATAi Intelligent Data Analysis and DASE Data Analytics Science & Engineering research groups. He has developed tools like the CyEnGNet–App for gene network visualization and BIGO for gene enrichment analysis. Contact: dsrodbae@upo.es

Maria Mercedes Eurrutia Caveroمشاهده پروفایل

استاد

• French Philology
• Lexicology
• Sociolinguistics
• +۵ مورد دیگر

Maria Mercedes Eurrutia Cavero is a Professor of French Philology at the University of Murcia's Faculty of Arts and Humanities, within the Department of French, Romanesque, Italian, and Arabic Philology. She holds a Doctorate from the University of Murcia (1997), focusing on specialized French linguistics in legal and medical contexts. Her research primarily revolves around lexicology, sociolinguistics, and translation studies, with notable contributions to the study of slang, color terminology, and digital discourse in tourism. Research Interests: Her work examines lexical semantic change, sociocultural implications of language, and practical applications of specialized French. She explores how language reflects social identity (e.g., slang, color symbolism) and bridges cultural gaps through translation, particularly in festivals and gastronomy. Her recent studies address digital communication's impact on tourism lexicons. Publications: Over 15 articles since 1996, including key works on technical discourse contrast, circus lexicology, and online tourism communication. Her 2007 study on color terminology highlights language as a sociocultural artifact, while 2013's work on Internet-based tourism discourse underscores digital lexical evolution. Affiliations: Leader of the 'General and Applied French Linguistics' research group and part of the 'Translation, Lexicology, and Writing' team. She has supervised doctoral research and contributed to UNED's distance-learning French pedagogy programs.