جست‌وجوی استاد و پژوهشگر

• Declarative Programming
• Software Development Technologies
• Specification Languages
• +۳ مورد دیگر

Juan José Moreno-Navarro is a Professor at the Technical University of Madrid (UPM) and a Research Professor at IMDEA Software Institute. He has been affiliated with UPM since 1996 and joined IMDEA at its foundation in 2005. He served as Deputy Director of IMDEA until 2008 and is currently on leave as Director General for University Policies at the Spanish Ministry of Education. PhD in Computer Science from Technical University of Madrid, Spain (1989), with part of his doctoral work conducted at RWTH Aachen, Germany His research interests center on declarative and rigorous software development technologies, including specification languages, automatic code generation, and software services description. He focuses on the integration of functional and logic programming to enhance language expressiveness for real-world applications, having led the design and implementation of the BABEL language and contributed to the international development of Curry. Moreno-Navarro has participated in numerous EU-funded and national/international research projects, leading the BABEL research group for over 17 years. He has coordinated the first Erasmus Mundus Master program in Spain and served as founding director of SpaRCIM, the Spanish research consortium in Informatics and Mathematics. His administrative roles include leadership in the FP6 IST Committee, Spanish National Contact Point for the Ministry of Education and Science, and vice-chair positions in national software engineering and technology platforms.

• Pragmatics
• Semantics
• Information Structure
• +۴ مورد دیگر

Laia Mayol is an Associate Professor in the Department of Translation and Language Sciences at Pompeu Fabra University (UPF) in Barcelona, Spain. She teaches undergraduate and master's level courses in linguistics, semantics, pragmatics, and English grammar. Her academic journey includes postdoctoral research at UPF through the 'Juan de la Cierva' program and at the Universitat Autònoma de Barcelona (UAB), following the completion of her PhD at the University of Pennsylvania in 2009. Professor Mayol's research focuses on pragmatics and semantics, both theoretical and experimental. Her work particularly centers on information structure and discourse structure, examining how meaning is constructed beyond truth-conditional content. She investigates the interpretation and production of anaphoric forms across languages, with special attention to Romance languages like Catalan and Spanish. Her approach combines formal linguistic theory with empirical methodology, reflecting the growing integration of theoretical and experimental paradigms in contemporary linguistics. Analysis of her recent publications reveals a consistent focus on the syntax-pragmatics interface, particularly how information structure (especially focus) interacts with syntactic realization in Romance languages. Her work spans theoretical syntax, experimental pragmatics, and cross-linguistic comparison, demonstrating methodological diversity while maintaining thematic coherence. A significant portion of her research examines Catalan specifically, contributing to our understanding of this understudied Romance language, while also situating Catalan findings within broader Romance and theoretical linguistic frameworks. Professor Mayol is actively involved in research projects, currently working on the EXPEDIS project funded by Agencia Estatal de Investigación (grant number PID2021-122779NB-I00) and the European Regional Development Fund. She is a member of the consolidated research group Grup de Lingüística Formal (GLIF) and the Unitat de Recerca en Lingüística (UR-LING), which provide collaborative frameworks for her linguistic investigations.

Sebastian Willمشاهده پروفایل

استاد

• Computational RNA structure prediction
• RNA-RNA interactions
• Folding dynamics
• +۳ مورد دیگر

Sebastian Will is a Full Professor of Bioinformatics at École Polytechnique IP Paris since 2020. Previously held positions include: Researcher with Ivo Hofacker at TBI, University of Vienna Researcher with Peter Stadler at Bioinformatics group, University of Leipzig Akademischer Rat at Bioinformatics group, University of Freiburg (2005-2012) Postdoc with Bonnie Berger at MIT's CSAIL (2010-2011) His research focuses on: RNA structure prediction algorithms Pseudoknot modeling RNA-RNA interaction analysis Structure design with Infrared framework Multi-target RNA design Integration of experimental data Ensemble-based sparsification Publication trends show concentrated research in: RNA structure prediction techniques Algorithm development Dynamic programming optimization Tree decomposition applications Stochastic sampling methods Multi-objective design Contributed extensively to software development including: LocARNA 2.0 Infrared framework SparseMFEFold BiAlign RNAPOND Pankov LocARNA-P

• School Bullying
• Physical Self-Concept
• Physical Activity
• +۳ مورد دیگر

Manuel Fernández Guerrero is a researcher in the Department of Physical Education and Sport at the Faculty of Education, University of Extremadura, holding this position during 2022-2023. His academic foundation includes a PhD from the University of Extremadura completed in 2017. His educational background: PhD in Physical Education and Sport, University of Extremadura (2017) Dr. Fernández Guerrero's research centers on the critical intersection of school environments, physical activity, and psychological development in youth. His seminal work investigates school bullying and its profound impact on physical self-concept during the primary-to-secondary education transition, with significant contributions to understanding body image disturbances and protective factors. He extends this expertise to sports contexts, examining emotional intelligence in football referees and designing interventions using small-sided games to enhance motor skills in youth athletes. His methodology predominantly employs quantitative analysis of sociodemographic variables across Extremadura's student populations. Analysis of his 2019-2025 publications reveals an evolving trajectory from bullying risk-factor analysis in Badajoz schools toward specialized sports psychology applications. While maintaining focus on physical self-concept measurement, his recent work demonstrates increased methodological sophistication in studying gender-specific burnout patterns among referees and declarative knowledge acquisition in football training. The geographic specificity to Badajoz and Extremadura region remains a consistent feature across his research corpus.

• Special Education
• Psychopedagogy
• Educational Inclusion
• +۳ مورد دیگر

Carmen María Muñoz Herrera is a Collaborating Professor in the Department of Educational Sciences at Cardenal Herrera CEU University, specializing in Didactics and School Organization. She teaches in the Bachelor’s Degree in Early Childhood and Primary Education and the Master’s Degree in Secondary Education Teaching. Additionally, she serves as a Quality Assurance Officer at the Castellón Campus. Diploma in Special Education Teaching, CES Cardenal Spínola San Pablo CEU (2009) Degree in Psychopedagogy, CES Cardenal Spínola San Pablo CEU (2009) Master’s Degree in Special Education, University of Valencia (2013/14) Religious Education Teaching Certificate (Ecclesiastical Declaration of Academic Competence), CES Cardenal Spínola San Pablo CEU (2009) Her research focuses on Educational Inclusion , with a strong emphasis on Universal Design for Learning (UDL), Active Learning Methodologies, and Didactic Programming. She actively collaborates with educational centers on training initiatives related to classroom practice, including Learning to Learn Competence. Her doctoral studies are centered on Educational Inclusion. Scientific Awards : Extraordinary End of Degree Award in Psychopedagogy (2009) ÁNGEL HERRERA AWARD (14th, 15th, and 18th Editions)

• Machine Learning
• Data Analytics
• Artificial Intelligence
• +۳ مورد دیگر

Maria-Cristina Marinescu serves as a Lecturer in the Department of Mathematics and Data Analytics at IQS School of Management. With a strong foundation in computational methods and data analysis, she contributes significantly to both teaching and research within the institution. Her academic profile demonstrates consistent scholarly activity with 44 documented scientific production items spanning over two decades. Dr. Marinescu's research interests center on Machine Learning, Data Analytics, and Artificial Intelligence, with notable applications in epidemic modeling, wireless sensor networks, and programming models. Her work bridges theoretical computer science with practical applications addressing real-world challenges in public health, digital well-being, and medical diagnostics. The fingerprint analysis of her work shows strong emphasis on Machine Learning (100%), Learning Systems (100%), and Transportation Models (100%), with substantial contributions to Programming Models (84%) and Wireless Sensor Networks (77%). Her recent publications reveal a trend toward interdisciplinary research that combines computational methods with societal challenges. She has made significant contributions to epidemic modeling during the COVID-19 pandemic, developing methods for accurate incidence rate estimation in Spain and analyzing information gains from multiple epidemic model outputs. Additionally, her work extends to medical applications including research on ocular ischemia and glaucoma, as well as innovative approaches to automated metadata annotation using machine learning techniques. Dr. Marinescu actively leads and participates in multiple research projects including Uncovering patterns of unconscious reactions to fake content (as Principal Investigator), MobilePressure (focused on reducing children's smartphone exposure), and ADAMIQS: Applied Data Analytics and Modelling IQS . These projects demonstrate her commitment to addressing contemporary issues through data-driven approaches while mentoring students and collaborating with interdisciplinary research teams.