About Me — Manuel Castillo-Cara, PhD
Professor and researcher in Artificial Intelligence at UNED, and Udemy instructor with international courses in AI and Data Science. Creator of the TINTO method and lead developer of TINTOlib, Python library to transform tabular data into synthetic images and enable vision-based deep learning models (ViTs, CNNs and Hybrids) on tabular data.
👨🏫 Biography
I am Manuel Castillo-Cara, PhD in Computer Science, specialized in Artificial Intelligence, from the Universidad de Castilla-La Mancha (UCLM), where I received the Cum Laude distinction. I am also an instructor on Udemy with courses in Artificial Intelligence and Data Science, reaching students worldwide through practical, hands-on training.
My research focuses on Synthetic Images and Hybrid Neural Networks for applying vision-based deep learning to tabular data. I am the creator of the TINTO method and lead developer of TINTOlib.
Over the last decade, I have participated in 15+ competitive research projects—serving as Principal Investigator on two—and authored 30+ impact-indexed journal articles (Q1/Q2), along with publications in international conferences, a utility model patent, software registrations, and an academic book.
| Period | Academic Position | Institution | Research Group |
|---|---|---|---|
| Since 2023 | Professor/Researcher | Universidad Nacional de Educación a Distancia | CISIAD |
| 2021 – 2023 | María Zambrano AI Postdoctoral Fellow | Universidad Politécnica de Madrid | OEG |
| 2014 – 2020 | Professor/Researcher in Peru | Universidad Nacional de Ingeniería Universidad de Lima | IUT-SCi |
🔬 Scientific Artefacts
- 25+ peer-reviewed journal articles (Q1/Q2 indexed)
- 7 international conference contributions (4 Scopus-indexed) and 1 invited tutorial
- 1 utility model patent
- 2 registered software works
- 1 academic book and 1 book chapter
- Supervision of 6 Master’s theses and 6 Bachelor’s theses
- Participation in 2 IEEE international robotics competitions (3rd place)
📊 Research Impact
| Source | Citations | #Q1 | #Q2 | H-Index |
|---|---|---|---|---|
| Web of Science (JCR) | 210 | 9 | 10 | 9 |
| Scopus (SJR) | 344 | 15 | 8 | 11 |
| Google Scholar | 548 | – | – | 13 |