جست‌وجوی استاد و پژوهشگر

• Procedural Law
• Criminal Procedure
• Chain of Custody
• +۳ مورد دیگر

Andrea Jamardo Lorenzo is an Assistant Professor at the University of León , affiliated with the School of Law and working within the Department of Public Law . Her research focuses on Procedural Law , with particular emphasis on Chain of Custody mechanisms, Technology in Law , and Legal Education innovations. Education : PhD in Law from the University of León (2023), thesis titled La cadena de custodia: análisis sistemático , supervised by Dr. Piedad González Granda. Her research explores the legal configuration and technological evolution of chain of custody systems in both national and European contexts. She investigates how digital evidence handling , AI applications , and cybersecurity protocols impact judicial integrity and procedural guarantees. Recent work also addresses pedagogical methods like flipped classrooms and role-playing in legal education. Analysis of her publications reveals trends in criminal procedure reforms , comparative chain of custody models (Spain vs. US), and ethical implications of legal technology . While no scientific awards are documented, her work contributes to debates on judicial efficiency , fundamental rights , and data protection in criminal contexts.

Juan Medina Contrerasمشاهده پروفایل

استاد

• Film Studies
• Communication
• Political Communication
• +۷ مورد دیگر

Juan Medina Contreras is a faculty member at the Faculty of Communication, University of Salamanca . He holds a Doctorate in Communication , a Degree in Journalism , an Expert in Gender and Communication , and a Master in Screenwriting and Political Image Consulting . His career spans academic research, teaching, and professional training in communication. His research focuses on film studies , political communication , gender representation , and visual rhetoric . Notable contributions include analyzing female archetypes in the [REC] saga, the portrayal of defense organizations in the Marvel Cinematic Universe, and the role of cinematic editing in shaping political and cultural narratives. His 15 most recent publications span 2014–2021 , with recurring themes in Spanish cinema , gender dynamics , political advertising , and historical memory . He has also explored digital photography ethics and citizen journalism challenges. While no scientific awards are explicitly mentioned, his work includes a research study on quality of life for disabled women in Palencia (2014). He has supervised theses and contributed to books like Género negro sin límites (2019) and La estética televisiva en las series contemporáneas (2018).

Silverio Juan Martinez Fernandezمشاهده پروفایل

استاد

• Empirical Software Engineering
• Environmental Sustainability of AI
• Green AI
• +۳ مورد دیگر

Silverio Juan Martinez Fernandez is a Professor at the Universitat Politècnica de Catalunya (UPC) , affiliated with the Barcelona School of Informatics (FIB) and the Department of Service and Information Systems Engineering . He is a core member of the inSSIDE and GESSI research groups. His expertise spans Empirical Software Engineering , Green AI , MLOps , and Software Analytics . Education: Bachelor's in Computer Engineering PhD from UPC in Software Engineering Master's in Computing Research Interests: Focuses on sustainable AI practices, energy-efficient ML systems, and MLOps education. He investigates architectural design for green AI, energy labeling tools for ML models, and agile software development methodologies. His work bridges theoretical research and industrial applications, emphasizing data-driven decision-making. Grants & Collaborations: Leads projects like Green AI-Based Systems Architecture and Q-Rapids , funded by national and EU programs. Collaborates with institutions like Softeam and industry partners to apply software analytics in real-world scenarios. Labs & Teams: Coordinates the inSSIDE group, focusing on integrated software and data engineering. Active in organizing conferences like GREENS and ESEM , and co-develops tools like Skuld for technical debt management.

Fernando Sánchez-Figueroaمشاهده پروفایل

استاد

• Software Engineering
• Big Data
• Business Intelligence
• +۳ مورد دیگر

Fernando Sánchez-Figueroa is a Full Professor at the University of Extremadura's Department of Computer Systems Engineering and Telematics. He is a co-founder of Homeria Open Solutions, a spin-off engaged in R&D projects under EU frameworks. His research focuses on Software Engineering, Machine Learning, Data Visualization, and Ambient Intelligence. He has authored over 50 scientific articles and led numerous R&D contracts with public and private entities. Key roles include: Academic: Full Professor at University of Extremadura Entrepreneur: Co-founder of Homeria Open Solutions Research: Participation in EU-funded projects and development of AI-driven solutions for healthcare, smart cities, and education Research Interests: Machine Learning applications in healthcare, predictive analytics for education, and sustainable smart city technologies. His work bridges theoretical advancements with practical implementations, such as medical image segmentation using SAM models and cost-efficient UAV systems. Publications: Recent works include decision support systems for employability analysis, zero-shot learning in medical imaging, and recommender systems for education. He emphasizes data-driven approaches and model-driven engineering in software development. Impact: Developed tools like CompareML for preliminary data analysis and LiveSankey for advanced web visualization. His contributions span academia and industry, addressing challenges in healthcare, urban sustainability, and educational technology.

Giovanni Compianiمشاهده پروفایل

دانشیار

• Industrial Organization
• Quantitative Marketing
• Econometrics
• +۶ مورد دیگر

Giovanni Compiani is an Associate Professor at the University of Chicago Booth School of Business, specializing in Marketing. His research bridges industrial organization and quantitative marketing, focusing on advanced econometric methods. PhD, MPhil, MA in Economics from Yale University BSc, MSc in Economics from Bocconi University Previous Assistant Professor at Haas School of Business His work explores unstructured data integration in demand estimation, consumer search behavior on online platforms, risk preferences in cryptocurrency markets, and time perception in behavioral economics. He has published in top journals including Journal of Political Economy , Marketing Science , and Review of Economic Studies . Recent publications emphasize machine learning applications in econometrics, equilibrium modeling of lotteries, and crypto mining's economic impact. His research portfolio spans demand analysis, structural modeling, and behavioral insights. Editor's Choice Award, The Review of Asset Pricing Studies (2024) Developed nonparametric demand estimation frameworks Advances dynamic model identification with instrumental variables Compiani teaches Data Science for Marketing Decision Making at Booth and maintains active collaborations with researchers across econometrics, computer science, and behavioral disciplines.

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.

• Innovation Management
• Organizational Innovation
• Quality Management
• +۱۲ مورد دیگر

Josep Llach is a Senior Lecturer at the Barcelona School of Management, Universitat Pompeu Fabra, and a part-time Professor Agregat in the Department of Business Administration, Management and Product Design at the University of Girona. He is an active researcher in innovation management, organizational innovation, sustainability, and operations, with extensive involvement in European and national research projects. University: University of Girona Department: Department of Business Administration, Management and Product Design Secondary Affiliation: Barcelona School of Management, Universitat Pompeu Fabra Academic Rank: Senior Lecturer Part-Time: Yes His research focuses on the intersection of innovation, quality, and sustainability in manufacturing and service firms. He studies how lean practices, digital transformation, circular economy strategies, and green technologies impact firm performance. His work often employs advanced statistical methods such as structural equation modelling and fuzzy-set qualitative comparative analysis. The recent publications highlight a strong trend toward sustainability, digital transformation, and methodological robustness in empirical models. His work spans industries including manufacturing, hospitality, and education, with a methodological emphasis on survey-based research and configurational analysis. Scientific Awards: Emerald Literati Awards – Most Outstanding Paper in 2018 for 'Creating value through the balanced scorecard: how does it work?' Top Downloaded Paper 2018–2019: 'Socially responsible companies: Are they the best workplace for millennials?' Josep Llach has directed five doctoral theses and actively mentors PhD students. He collaborates with the Catalan University Quality Assurance Agency (AQU) as a methodological secretary in accreditation processes. His research is supported by multiple national and European grants, particularly through participation in the European Manufacturing Survey. He is a member of the Grup de Recerca Avançada sobre Dinàmica Empresarial i Impacte de les Noves Tecnologies a les Organitzacions (GRADIENT), a research group focused on organizational dynamics and the impact of new technologies.

Frank NIELSENمشاهده پروفایل

استاد

• Data science
• Geometric science of information
• Information geometry
• +۴ مورد دیگر

Frank NIELSEN is a Professor at École Polytechnique with expertise in information geometry, data science, and machine learning. He holds a PhD (1996) and HDR (2006) in computer science and has established himself as a leading researcher in geometric approaches to information science. His educational background includes a PhD in computer science (1996) followed by a Habilitation à Diriger des Recherches (HDR) in 2006, the highest academic qualification in France that qualifies one to supervise doctoral candidates. Dr. NIELSEN's research focuses on the Geometric Science of Information , where he develops theoretical frameworks for understanding data through geometric and information-theoretic lenses. His work bridges Computational information geometry Statistical manifold theory Bregman divergences and their applications Machine learning with geometric foundations High-dimensional data analysis He aims to address the challenge of inappropriate data representation in current Data Science by building a theory of Computational Information Geometry to enable Intrinsic Data Science with principled distances. His extensive publication record shows a clear trend toward developing geometric frameworks for understanding statistical divergences, with recent work focusing on Bregman geometry, Fisher-Rao metrics, and their applications in machine learning. His research spans theoretical developments in information geometry to practical implementations like the pyBregMan Python library, demonstrating both theoretical depth and practical relevance. Dr. NIELSEN has made significant contributions through his teaching and publications. He has taught courses at École Polytechnique including INF442, INF517, and INF591. His authored textbooks include Introduction to HPC with MPI for Data Science (2016), A Concise and Practical Introduction to Programming Algorithms in Java (2009), and Visual Computing: Geometry, Graphics, and Vision (2005). He has also edited influential volumes such as Computational Information Geometry for Image and Signal Processing (2016) and Geometric Theory of Information (2014). He actively organizes and participates in academic events, serving on program committees for major conferences including GSI (Geometric Science of Information), CVPR, and ICCV. His work has established him as a key figure in the growing field of geometric approaches to information science.

Mariano Cabezasمشاهده پروفایل

پژوهشگر

• computer vision
• medical imaging
• magnetic resonance imaging (MRI)
• +۵ مورد دیگر

Mariano Cabezas is a researcher in medical imaging and computer vision, currently affiliated with Macquarie University and as an affiliate at the University of Sydney . His work focuses on automating brain MRI analysis for pathologies like multiple sclerosis, Alzheimer's disease, and tumors, with additional contributions to UAV image analysis. PhD in Computer Science (2013), University of Girona MSc in Automation, Computation, and Systems (2010), University of Girona BSc in Computer Science (2009), University of Girona Research Interests : Specializes in magnetic resonance imaging , lesion detection , deep learning , and image processing , with applications in multiple sclerosis , hearing loss , and UAV-derived ecological data . His recent work includes federated learning frameworks for cross-site MS lesion segmentation and pseudo-labeling techniques for longitudinal brain volume estimation. Publication Trends : Over the past five years, his research has emphasized federated learning (4 articles), lesion segmentation (9 articles), and UAV image analysis (3 articles), with a strong focus on clinical validation and cross-institutional collaboration. Labs & Collaborations : Contributed to the NIC-VICOROB group at the University of Girona and maintains affiliations with the Research Institute of the Hospital Vall d'Hebron (VHIR) in Barcelona and Macquarie University in Sydney. Actively develops open-source tools hosted on GitHub.

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.

Mercedes Herrero de la Fuenteمشاهده پروفایل

استاد

• Digital Journalism
• Data Journalism
• Transmedia Narratives
• +۵ مورد دیگر

Mercedes Herrero de la Fuente is a Professor at Antonio de Nebrija University's School of Communication and Arts in Madrid, specializing in Journalism and Media Innovation. Holding a PhD in Information Sciences from Complutense University of Madrid, she coordinates the doctoral program in Innovation in Digital Communication and Media while leading research through the INNOMEDIA Research Group. Her academic affiliations include active participation in multiple national research projects funded by Spain's Ministry of Science and Innovation. Her research focuses on the intersection of digital technologies and communication, with particular emphasis on data journalism, transmedia narratives, disinformation combat strategies, and gender representation in media. Recent work explores augmented reality applications in journalism, accessibility for people with disabilities in the audiovisual sector, and women's leadership in media production. She has conducted research fellowships at Cornell University, Radboud Universiteit, Salford University, and Charles University. Herrero de la Fuente has published extensively in high-impact journals, with her most recent work examining AI applications against electoral misinformation, women creators in streaming platforms, and immersive journalism technologies. Her research demonstrates consistent focus on emerging media technologies and their societal implications, particularly regarding inclusion and verification practices. As an educator, she previously directed Nebrija University's Master's in Digital and Data Journalism (2016-2021) and Master's in Television Journalism (2015-2020), while currently teaching in both undergraduate and graduate programs. Her professional background includes eight years as a producer for TELEMADRID News, providing practical industry experience that informs her academic work.

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.

Cristobal Pagan Canovasمشاهده پروفایل

استاد

• Cognitive Linguistics
• Conceptual Integration
• Multimodal Communication
• +۴ مورد دیگر

Cristobal Pagan Canovas is a Permanent Professor (tenure-track) at the Department of English Philology, University of Murcia, where he co-directs the Daedalus Lab and the Murcia Center for Cognition, Communication, and Creativity. He is also a member of the international consortium Red Hen Lab, focusing on multimodal communication research. Education includes: PhD in Ancient and Modern Greek Literature from University of Murcia BA+MA in Classics and BA+MA in English from University of Murcia MA in Classics from University College London His research explores human cognition and communication through interdisciplinary approaches combining humanities and sciences. Primary interests include: Conceptual integration networks in emotional expression Multimodal communication patterns across language, gesture, and prosody Temporal representation in creative artifacts Cognitive foundations of poetic metaphor and verbal art Cultural evolution of integrative patterns in social interactions Recent publications demonstrate consistent focus on temporal cognition, multimodal communication, and creativity across domains including poetry, music, and gesture. Research employs corpus analysis, big data approaches, and cognitive modeling to examine how humans integrate perceptions into meaningful wholes. Scientific awards and fellowships: Ramón y Cajal Grant (elite national scheme) Alexander von Humboldt Fellowship in Quantitative Linguistics EURIAS Fellowship at Netherlands Institute for Advanced Studies FBBVA Leonardo Fellowship Marie Curie Fellowship ENSAYA'10 Award for scientific essay He leads multiple research grants including ERASMUS PLUS KA220-HED (MULTIDATA) and national grants MULTIFLOW and CREATIME. Supervised trainees include postdoctoral researchers (Marie Curie, Juan de la Cierva), MA students, undergraduates, and data scientists. The Daedalus Lab develops interdisciplinary methods to study cognition and communication, while Red Hen Lab enables large-scale multimodal dataset analysis through international collaboration.

• Biostatistics
• Epidemiology
• Survival Analysis
• +۴ مورد دیگر

Gomez Melis, Guadalupe is a Professor at the Universitat Politècnica de Catalunya (UPC), affiliated with the GRBIO research group (Bioestadística i Bioinformàtica) and the Department of Statistics and Operations Research. She collaborates with the Institut de Recerca i Innovació en Salut (Health Research Institute) and the Faculty of Mathematics and Statistics (FME). Her work focuses on biostatistics, survival analysis, multistate models, and clinical trial design, with significant contributions to understanding disease progression and outcomes, particularly in pandemic-related studies. She has supervised doctoral theses and leads various research projects funded by EU and national grants. Her research spans statistical methodologies for healthcare data, including censored data analysis and adaptive clinical trial designs. Key activities include leading over 450 research outputs, including articles in high-impact journals like Biostatistics and BMC Medical Research Methodology , and collaborations on projects like the EU-funded Siemens Energy AI Chair initiative. Her work often integrates statistical modeling with real-world health data, addressing challenges in infectious disease dynamics, elderly patient care, and genomic analysis. Notable contributions include developing the GofCens package for goodness-of-fit methods and the MSMpred interactive tool for predicting patient trajectories via multistate models. She actively participates in international conferences and serves on scientific committees, demonstrating her role in advancing biostatistical methodologies globally.

FRANCISCO JOSE BARBA ORELLANAمشاهده پروفایل

استاد

• Nutrition and Food Science
• Non-thermal Food Processing
• Food Quality
• +۳ مورد دیگر

Francisco Jose Barba Orellana is a Professor at the University of Valencia, affiliated with the Faculty of Pharmacy and Food Sciences and the Department of Preventive Medicine. His academic area is Nutrition and Food Science, and he is a member of the ALISOST research group, focused on innovative technologies for sustainable food. He was previously associated with the NUTRALIMENT and COAL research groups. His research interests lie at the intersection of food science, nutrition, and sustainable technology. He specializes in non-thermal food processing methods and their effects on nutritional quality and food safety. His work supports the development of healthier, more sustainable food systems through technological innovation. No recent publications were listed in the provided text, so no trends can be identified at this time. There are no scientific awards mentioned in the available information. Dr. Barba has supervised academic theses, including PhD work, as evidenced by his role as a thesis supervisor. Specific names of advisees are not provided. There is no mention of grants or funding projects in the current data. He is actively involved in the ALISOST research group, which focuses on developing sustainable food technologies. He previously contributed to the NUTRALIMENT and COAL research groups, indicating a long-standing engagement in food science and safety research.