Secretariat of Science, Humanities, Technology and Innovation | Mexico
Dr. Alejandro Medina Santiago is a Mexican researcher in Electrical Engineering, specializing in VLSI integrated circuit design, neural networks, fuzzy logic, intelligent systems, and Industry 4.0 technologies. He earned his Doctor of Science and Master of Science degrees in Electrical Engineering from the Center for Research and Advanced Studies of the National Polytechnic Institute (CINVESTAV-IPN), where his doctoral research focused on the design of arithmetic cells using multi-input floating gate devices for reconfigurable circuits in image processing and pattern recognition, and his master’s thesis concentrated on neural network-based classification systems for analog signals. He also holds a degree in Electronics Engineering from the Technological Institute of Tuxtla Gutiérrez. Since 2017, he has been a Researcher at the National Institute of Astrophysics, Optics, and Electronics (INAOE) and is a member of Mexico’s National System of Researchers (SNI Level 1, 2021–2025). His areas of expertise include signal processing, IoT, cybersecurity, deep learning, automotive ecosystem diagnostics, and circuit design. Dr. Medina Santiago has directed and participated in numerous projects, including deep neural networks for automotive systems, automotive embedded platforms, IoT educational initiatives, and agricultural disease detection through georeferenced image processing. He has authored more than 20 indexed journal articles, published a book, and holds four patents in process. Additionally, he contributes as a reviewer and editorial board member for IEEE, MDPI, Springer, and Elsevier. A committed educator, he teaches both undergraduate and postgraduate courses on IoT, artificial intelligence, machine learning, electronics, and intelligent control, while actively mentoring future engineers and researchers.
Featured Publications
Medina-Santiago, A., et al. (2025). Machine Learning-Powered IDS for Gray Hole Attack Detection in VANETs. World Electric Vehicle Journal, 16(9), 526. [DOI: 10.3390/wevj16090526]
Orozco Torres, J. A., Medina Santiago, A., et al. (2025). A Data-Driven Approach Using Recurrent Neural Networks for Material Demand Forecasting in Manufacturing. Logistics, 9(3), 130. [DOI: 10.3390/logistics9030130]
Aguilar-González, A., Medina Santiago, A. (2025). Road Event Detection and Classification Algorithm Using Vibration and Acceleration Data. Algorithms, 18(3), 127. [DOI: 10.3390/a18030127]
Orozco Torres, J. A., Medina Santiago, A., et al. (2024). Multilayer Fuzzy Inference System for Predicting the Risk of Dropping Out of School at the High School Level. IEEE Access, 12, 3425548. [DOI: 10.1109/ACCESS.2024.3425548]
Bermúdez Rodríguez, J. I., Medina Santiago, A., et al. (2024). Fault Diagnosis for Takagi-Sugeno Model Wind Turbine Pitch System. IEEE Access, 12, 3361285. [DOI: 10.1109/ACCESS.2024.3361285]