CONAHCYT
INAOE

Ciencias Computacionales

 

DR. ALEJANDRO MEDINA SANTIAGO

Teléfono: +52 (222) 2663100 Ext: 8211

Oficina: 8211

Correo Electrónico:  amedina@inaoep.mx

 

Resumen Curricular

Dr. Alejandro Medina Santiago is an "Investigador por México" (Researcher for Mexico) commissioned to the Department of Computer Science at the National Institute of Astrophysics, Optics and Electronics (INAOE). He earned his Ph.D. and M.Sc. in Electrical Engineering from the Center for Research and Advanced Studies of the National Polytechnic Institute (CINVESTAV) and his B.E. in Electronics from the National Technological Institute of Mexico, Tuxtla Gutiérrez.

His research lies at the intersection of signal processing, artificial intelligence, and hardware security, with active lines in automotive cybersecurity, Internet of Things (IoT), Industry 4.0, and VLSI circuit design. Dr. Medina Santiago has published 25 articles in JCR-indexed journals, including first-author and corresponding-author papers in Sensors, IEEE Access, Applied Sciences, and Algorithms. His work covers topics such as neural networks for medical diagnostics, fuzzy logic for mobile robotics, and genetic algorithms for autonomous vehicle ego-motion estimation.

Beyond his research output, Dr. Medina Santiago has directed 42 graduate theses (M.Sc. and Ph.D.) and has led curriculum renewal for multiple graduate programs, including the M.Sc. in Computational Sciences at INAOE. He is an active peer reviewer with over 100 evaluations for Q1/Q2 journals, including IEEE Transactions on Circuits and Systems and Engineering Applications of Artificial Intelligence. He is a current member of Mexico's National System of Researchers (SNII Level 1) and an accredited evaluator for CONACYT. His professional service includes founding research groups, organizing international conferences, and delivering numerous invited talks on artificial intelligence and signal processing for both academic and general audiences.

 

Líneas de Investigación

  • Procesamiento de señales
  • Internet de las cosas
  • Ciberseguridad
  • Desarrollo de circuitos integrados

 

Especialidades

  • Artificial Intelligence
  • Signal Processing
  • Cybersecurity
  • IoT 
  • VLSI 
  • Fuzzy Logic
  • Neural Networks 
  • Mobile Robotics
  • Automotive Systems
  • Hardware Security
  • Genetic Algorithms 
  • Industry 4.0 
  • MechatronicS

 

Expertise Técnico / Metodologías

  • Programming: Python, LabVIEW, MATLAB, C/C++, CUDA, Moodle.
  • Hardware & Embedded Systems: CMOS VLSI, FPGAs, Raspberry Pi, Arduino, RFID, Bluetooth, OBD2.
  • Simulation & CAD: PSPICE, Multisim, MATLAB/Simulink, SolidWorks, Solid Edge.
  • Artificial Intelligence & Machine Learning: Neural Networks (Backpropagation, RBF, RNN), Fuzzy Logic, Genetic Algorithms, Neuro-Fuzzy Inference Systems.
  • Signal Processing: Biomedical signal processing (ECG), automotive signal processing (vibration, OBD2), time-series analysis, feature extraction.
  • Cybersecurity: Hardware security architectures, SHA-256 hybrid redundancy, lightweight cryptography for IoT, secure communication protocols.
  • Control & Robotics: Mobile robots, obstacle avoidance, trajectory tracking, intelligent control, Advanced Driver-Assistance Systems (ADAS).
  • Research & Development Methodologies: LAMDA for fault diagnosis, TurboPixels for real-time segmentation, Takagi-Sugeno fuzzy models, Project-Based Learning (PBL).
  • Education & Curriculum Design: Instructional design for online courses, competency-based training, graduate program creation and renewal (M.Sc. and Ph.D. levels).

 

Cursos

  • Seminario Doctoral
  • Metodología de la Investigación
  • Teoría de Autómatas y Lenguajes Formales
  • Seminario de Investigación II

 

Página Personal

https://amedina7894.wixsite.com/website

 

Perfil de Google Scholar 

Consultar perfil en Google Scholar

 

Perfil de ResearchGate / CVU

Consultar perfil ResearchGate / CVU

 

Última actualización:
15-06-2026 / 20:12 por: Brenda Cervantes

 

Dirección: Luis Enrique Erro # 1, Tonantzintla, Puebla, México C.P. 72840 Teléfono: (222) 266.31.00 Contacto: difusion@inaoep.mx


Esta obra está licenciada bajo una Licencia Creative Commons Atribución-No Comercial-Sin Obras Derivadas 2.5 México

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