Computer Vision & Pattern Recognition
Image and video understanding, object detection and tracking, facial dynamics, action recognition and representation learning.
Computer Vision · Machine Learning · Applied AI
Pablo Augusto Negri
CONICET researcher, professor at the University of Buenos Aires, and Head of the Intelligent Systems Group. I develop machine-learning and computer-vision methods and turn them into solutions for scientific, public-sector and industrial problems.
Instituto de Investigación en Ciencias de la Computación (ICC, UBA-CONICET) · Department of Computer Science, FCEyN-UBA · Member of the Laboratory of Images and Vision (LIV).
About
Research with a strong applied dimension
I work at the intersection of computer vision, pattern recognition, machine learning and data science. My research ranges from biometrics, facial and gesture analysis, and event-based vision to meteorology, remote sensing and environmental applications.
Alongside academic research, I have led and contributed to technology-transfer and consulting projects for public institutions, international organizations and industry. Recent applications include electrical-network analytics, natural-language processing, biometric liveness verification, digital archives, weather prediction and environmental monitoring.
Current roles
CONICET Researcher · UBA Professor · Head, Intelligent Systems Group
Research groups
Intelligent Systems Group (GSI)
Laboratory of Images and Vision (LIV)
Location
Buenos Aires, Argentina
Research
Core research areas
Biometrics & Responsible Face Recognition
Face recognition, liveness verification, facial gestures and frameworks for proportional and responsible deployment of biometric systems.
AI for Climate & Environment
Remote sensing, precipitation and severe-storm analysis, invasive-species mapping, water and agricultural data integration.
Data Science & NLP
Predictive modelling, large-scale data analysis and language models for extracting decision-relevant information from complex data sources.
Event-based & Neuromorphic Vision
Event cameras, temporal visual dynamics and spiking neural networks for low-latency perception and biometric analysis.
Machine Learning Systems
End-to-end development from modelling and experimentation to deployable Python solutions, technical documentation and knowledge transfer.
Selected projects
From research questions to operational systems
Jamaica Electrical Grid Analytics
Geospatial and consumption-data analysis to map users, identify risk areas and estimate illegal electrical connections for Jamaica Public Service.
Project details →NLP for the World Bank
BERT-based models to detect foreign direct investment and divestment intentions from multinational-company earnings-call transcripts.
Project details →RENAPER Liveness Verification
Facial detection, gesture recognition and gesture-dynamics modules for robust identity and liveness verification.
Project details →AI for Historical Archives
Semantic image segmentation and tooling for digitizing and indexing the newspaper and magazine archive of Abuelas de Plaza de Mayo.
Project details →SIMPLE-G-AR & Water/Food Security
Integration of satellite, land, soil, water and climate data into a spatially explicit modelling framework for Argentine agriculture.
Research output →Computer Vision for Brewing
Automated yeast counting and viability classification using image processing, YOLO and classical machine-learning methods.
Project details →Selected publications
Recent and representative research
2026
2026
2025
2025
2024
2022
2021
2021
Experience
Academic, R&D and consulting trajectory
2020–Present
Independent AI & Data Science Consultant
Buenos Aires · International projects
Machine learning, computer vision, NLP, predictive modelling, data analysis and production-oriented technical solutions. Clients and partners include the World Bank, JRC-European Commission, RENAPER, Jamaica Public Service and Argentine public institutions.
2010–Present
Researcher
CONICET · Instituto de Investigación en Ciencias de la Computación (ICC), UBA
Research and project coordination in image processing, biometrics, pattern recognition, machine learning and interdisciplinary applications.
2017–Present
Professor
Department of Computer Science, FCEyN, University of Buenos Aires
Undergraduate and graduate teaching, thesis supervision and research training.
2011–2017
Adjunct Professor
Universidad Argentina de la Empresa (UADE)
Signals and Systems, Signal Processing and related graduate teaching.
2008–2009
R&D Engineer & Consultant
AUSY France · Assigned to Sagem Défense et Sécurité
Hybrid inertial-navigation simulator for the NH90 helicopter, real-flight performance evaluation, technical reporting and team leadership.
2004–2008
Doctoral Researcher & Consultant
Université Pierre et Marie Curie – Paris VI (ISIR)
Computer vision for onboard obstacle detection (PSA Peugeot-Citroën), vehicle-model recognition and university teaching.
2002
Director of Research & Development
Solucom Argentina S.A.
Software development for commercial telecommunications products.
1998–2001
Hardware & Software Development Engineer
Siemens S.A.
EWSD test systems, embedded/PCI development, C++, version control and ISO 9000 processes.
Teaching & education
Training researchers and engineers
Current and recent teaching at UBA
- Computational Linear Algebra
- Algorithms and Data Structures I
- Deep Learning and Computer Vision
- Advanced Methods for Image Synthesis and Processing
Supervision of undergraduate, master's and doctoral theses in computer vision, machine learning and interdisciplinary applications.
Education
- PhD in Robotics — Université Pierre et Marie Curie (Paris VI), ISIR, 2004–2008
- MSc in Robotics and Intelligent Systems — Université Pierre et Marie Curie (Paris VI), 2002–2003
- Specialist Degree in Quality Engineering — UTN, 2000–2001
- Electronic Engineer — Universidad Nacional de La Plata, 1992–1998
Contact
Research, collaboration and applied AI projects
For academic collaborations, thesis supervision, technology transfer or consulting projects, the most direct channels are email and LinkedIn.