Teaching
Training students and young researchers in programming, databases, data science, machine learning, NLP and modern AI systems.
DC/CCT/UEPB • Campina Grande • Paraíba • Brazil
LANA NEXUS AI is a laboratory for teaching, research, outreach and technology transfer, connecting Artificial Intelligence, Data Science, Natural Language Processing, Big Data, Assistive Technologies, Health and Culture.
Mission
Training students and young researchers in programming, databases, data science, machine learning, NLP and modern AI systems.
Developing scientific work in LLMs, RAG, intelligent systems, multimodal AI, data-driven public interest applications and AI for health.
Connecting university knowledge with society through applied projects, books, courses, assistive technologies and social impact initiatives.
Research areas
LANA NEXUS AI integrates foundational computing education with advanced research in Artificial Intelligence, Natural Language Processing, Big Data, Large Language Models and digital transformation.
Projects and software
An AI-assisted learning environment for Mandarin, tones, pronunciation, history and culture, designed as an educational and research platform.
Education • NLP • SpeechA research and innovation initiative for applied AI, intelligent agents, health, accessibility and human-centered technologies.
Applied AI • Assistive TechRetrieval-Augmented Generation systems to support scientific literature exploration, knowledge organization and academic productivity.
LLMs • RAG • ResearchAudio-aware RAG pipelines for consultations, meetings and health documentation, with attention to accessibility and privacy.
Health AI • Audio • RAGEvaluation datasets and protocols for AI-supported hearing accessibility in Portuguese-speaking contexts.
Benchmark • AccessibilityConversational AI to support people with hearing loss in everyday, academic and professional environments.
Conversational AI • InclusionModels to estimate speech comprehension and listening effort in noisy environments using AI and data-driven methods.
Machine Learning • HealthDashboards and data analysis projects on ENEM, tropical diseases, water reservoirs, social media and public data.
Data Science • SocietyMore legacy projects and software are documented at valencar.com/projects-and-softwares.
Teaching
Relational modeling, MER, relational algebra, SQL, normalization, transactions, concurrency, recovery, optimization, MongoDB, NoSQL and modern data architectures.
Original course pageData Science, Big Data, Python, machine learning, neural networks, deep learning, NLP, LLMs, computer vision, social media analysis, Hadoop and Spark.
Original course pageComputer fundamentals, representation of data, algorithms, Python, control structures, functions, debugging, software practices and applied projects.
Original course pageBooks and culture
The LANA NEXUS AI ecosystem is connected to books, academic writing and interdisciplinary reflection on technology, culture, society, public health, data and the future of Artificial Intelligence.
Current interests include digital literacy, AI education, philosophy of technology, geopolitics, anthropology, culture and the social impacts of intelligent systems.
View booksDomain architecture
Main institutional site for the laboratory: research, teaching, outreach, publications, projects, courses and international collaboration.
Recommended redirect to lananexus.org for now. It protects the brand and can later support products, consulting, startups or technology transfer initiatives.
Contact
Suggested institutional email: contact@lananexus.org. Alternative aliases: research@lananexus.org, projects@lananexus.org and vladimir@lananexus.org.