I hold a Ph.D. in Computer Science from Universidad Nacional del Sur. Currently, I serve as an
Independent Researcher at CONICET (Interdisciplinary Institute of Basic Sciences - ICB CONICET UNCuyo)
and a Full Professor at the Faculty of Engineering, National University of Cuyo (UNCuyo).
I lead research initiatives within the CICDA Group (Computación Inteligente y Ciencia de Datos Aplicada), focusing on Computational Intelligence, Metaheuristics, Optimization, Smart Mobility, and Medical Image Processing.
Research on intelligent methods, evolutionary computation, and digital image processing with application to socio-productive problems.
Ph.D. in Computer Science
Universidad Nacional del Sur (UNS)
2007 – 2009
Thesis: Theoretical development of metaheuristic techniques to solve Transit Networks (TNs) optimization problems in dynamic environments. Grade: 10/10 (Outstanding).
B.S. in Computer Science
Universidad Nacional del Sur (UNS)
1997 – 2004
Teaching Activity
Full Professor (Tenured)
Faculty of Engineering – National University of Cuyo
2018 – Present
Undergraduate courses for the B.S. in Computer Science:
Formal Languages and Computability
Compilers
Postgraduate Professor
National University of Southern Patagonia (UNPA)
2016 – 2025
Master's Degree in Computer Science and Systems: Introduction to Neural Networks, Bioinformatics, and Advanced Algorithms.
Recent Research Projects
Principal Investigator | PIP CONICET (2024-2026)
Development of intelligent methods for early disease detection using digital images in socio-productive sectors
Computer vision and bio-inspired artificial intelligence applied to health and technology transfer.
Principal Investigator | SIIP-UNCuyo (2025-2027)
Intelligent Methods Used in Image Processing and Their Application in Solving Socio-Productive Problems
Applied research leveraging machine learning for regional agricultural and urban image classification.
Principal Investigator | PICT Agencia (2022-2025)
Design and development of novel strategies applied to vehicular traffic and urban public passenger transportation
Metaheuristics and Optimization via Simulation (OvS) for smart mobility and urban logistics.
Selected Publications (Last 5 Years)
Massive Production of Cancer Synthetic RNA-SeqGene Expression Samples
Matías Gabriel Rojas, Ana Carolina Olivera, Pablo Javier Vidal, Jessica Andrea Carballido
SN Computer Science, Vol. 6, p. 29, 2025.
A New Micro-genetic Crossover Operator for Effective Training of Medical Neural Networks
Matías Gabriel Rojas, Ana Carolina Olivera, Jessica Andrea Carballido, Pablo Javier Vidal
SN Computer Science, Vol. 6, p. 539, 2025.
A Memetic Genetic Particle Swarm Optimization for Druglike Molecule Discovery
Matías Gabriel Rojas, Ana Carolina Olivera, Pablo Javier Vidal
IEEE Latin America Transactions, Vol. 23, No. 3, pp. 216-222, 2025.
Analysis and comparison of encryption and verification algorithms applied to a Fog Computing Architecture
Layla M. Martínez Guevara, Pablo Javier Vidal, Ana Carolina Olivera, Emmanuel N. Milán
Journal of Information and Telecommunication, pp. 1-17, 2024.
A genetic operators-based Ant Lion Optimiser for training a medical multi-layer perceptron
Matías Gabriel Rojas, Ana Carolina Olivera, Pablo Javier Vidal
Applied Soft Computing, Vol. 151, p. 111192, 2024.
Memetic micro-genetic algorithms for cancer data classification
Matías Gabriel Rojas, Ana Carolina Olivera, Jessica Andrea Carballido, Pablo Javier Vidal
Intelligent Systems with Applications, Vol. 17, p. 200173, 2023.
A multi-objective swarm approach with pedestrians spotlight in traffic urban optimisation
Ana Carolina Olivera, Pablo Javier Vidal
IEEE Latin America Transactions, Vol. 20, No. 11, pp. 2363-2370, 2022.
Optimising Multilayer Perceptron weights and biases through a Cellular Genetic Algorithm for medical data classification
Matías Gabriel Rojas, Ana Carolina Olivera, Pablo Javier Vidal
Array, Vol. 14, p. 100173, 2022.
Human Resources Formation
Ph.D. Thesis Supervision (Completed)
Desarrollo de técnicas de optimización estocástica aplicadas a sistemas de tráfico
Student: Ing. Enrique Gabriel Baquela
Ph.D. in Engineering, Universidad Nacional de Rosario (2012–2020) | Advisors: Dra. Ana Carolina Olivera, Mg. Ing. Marta L. Cerrano
Undergraduate Thesis (Completed)
Análisis y visualización de datos de transporte para el mejoramiento de la movilidad urbana en Mendoza
Student: Gastón Ezequiel Cavallo
B.S. in Computer Science, Universidad Nacional de Cuyo (2024–2025) | Grade: 10/10
Deep Learning para el análisis y predicción de accidentes vehiculares en Mendoza
Student: Andrés Maglione
B.S. in Computer Science, Universidad Nacional de Cuyo (2025–2026)
Ongoing Supervisions
Current Doctoral & Undergraduate Students
• Prof. Daniel A. L. Díaz Opazo - Ph.D. CONICET Fellow (Deep Learning in Urban/Rural zones)
• Lic. Virginia Belén Gallar - Ph.D. CONICET Fellow (Active Learning for Medical Images)
• Luciano Masuelli Redmond - B.S. Thesis (AI Models for Early Alzheimer Detection via Voice Signals)
• Francisco Devaux - B.S. Thesis (Machine Learning for Land Use Classification)