Teaching | Félix Suárez

University of Costa Rica (UCR)

Senior Lecturer, Departments of Physics, Computer Science, and Electrical Engineering (2017-2023)

General Physics I: Core undergraduate physics curriculum for engineering disciplines, focusing on fundamental physics principles and engineering applications. Developed problem-solving methodologies to enhance student understanding.
General Physics III: Advanced undergraduate physics course for engineering majors, integrating complex physical concepts with engineering practices. Emphasized practical applications and experimental methods.

Computer Architecture: Comprehensive study of computer system organization, hardware-software interface principles, and modern computer architecture design concepts.
Quantitative Methods: Advanced analytical techniques for computer science, including statistical analysis, computational methods, and data-driven decision-making approaches.

Co-coordinator of Central America’s first humanoid robot development project.
Led an interdisciplinary team of students and researchers to integrate cutting-edge robotics technology with educational objectives.
Successfully implemented LSTM neural networks for robot control and published research in IEEE conferences and journals.

Lecturer, Department of Electrical Engineering (2017-2023)

Electromagnetic Theory: Advanced electromagnetic principles with applications in modern electrical systems.
Automatic Control: Modern control theory and its applications, integrating robotics principles.
Linear Circuits I & II: Fundamental and advanced circuit analysis, incorporating practical laboratory components and industry-standard simulation tools.
Higher Mathematics: Advanced mathematical concepts for electrical engineering with application-focused problem-solving and integration with engineering principles.

Led the development and implementation of new courses in advanced robotics systems, machine learning applications in engineering, and modern semiconductor technologies.
Integrated industry experience from Intel and Botco AI into course materials and developed practical laboratory exercises using current industry tools.

Industry-Academic Integration: Incorporated real-world case studies from Intel and Botco AI, developed practical projects based on industry challenges, and created hands-on learning experiences with modern engineering tools.
Technology Integration: Implemented modern educational technologies, developed online learning materials, and created interactive laboratory exercises.

Supervised undergraduate and graduate research projects, providing career guidance and industry connections.
Mentored students in robotics and AI research projects, fostering academic and professional growth.

Technical Domains: Robotics and Control Systems, Machine Learning and AI Applications, Semiconductor Design and Fabrication, Circuit Analysis and Design, Computer Architecture, Physics, and Mathematics for Engineering.
Tools and Technologies: Programming (Python, C/C++, Java), Industry Tools (Kubernetes, Terraform), Cloud Platforms (AWS, GCP, Azure), EDA Tools and Circuit Design Software, LSTM Neural Networks, Robotics Development Platforms.

Contributed to the development of next-generation engineering professionals by enhancing curriculum with modern industry practices.
Successfully bridged theoretical concepts with practical applications, establishing strong industry-academic partnerships.
Pioneered robotics education in Central America through the Arcosbot project.

For research publications and additional academic contributions, please visit the Publications section.