Juan Carlos Farah

Juan Carlos Farah serves as both a Scientific Collaborator and Lecturer at the Fribourg School of Engineering and Architecture, part of the University of Applied Sciences and Arts of Western Switzerland (HES-SO). His academic appointments indicate an active role in both research and teaching within the institution's engineering and technology programs.

Dr. Farah holds a PhD in Robotics, Control, and Intelligent Systems from the École Polytechnique Fédérale de Lausanne (EPFL), a Master of Science in Computing from Imperial College London, and a Bachelor of Arts in Economics from Harvard University. This interdisciplinary background spans computer science, engineering, and economics, providing a strong foundation for his current research endeavors.

His research focuses on the intersection of human-computer interaction, social neuroscience, and information theory, with particular emphasis on how artificial intelligence with anthropomorphic traits affects human behavior and learning. Farah has made significant contributions to educational technology, especially in the development and evaluation of conversational agents for learning environments. His work examines how chatbots and large language models can be effectively integrated into educational contexts to support students while maintaining pedagogical integrity.

An analysis of his recent publications reveals a strong trajectory in human-AI interaction within educational settings, with increasing focus on large language models since their emergence. His research spans multiple dimensions of educational technology including code review systems, computational thinking development, and the psychological impacts of technology on learners. The interdisciplinary nature of his work connects computer science, cognitive science, and educational theory.

While no specific scientific awards are mentioned in the provided documentation, Dr. Farah's research has been published in reputable journals and presented at significant international conferences in educational technology and human-computer interaction.

His research methodology combines both qualitative and quantitative approaches, often conducting controlled experiments with student populations to evaluate the effectiveness of educational technologies. Farah frequently collaborates with colleagues from multiple institutions, suggesting strong interdisciplinary research networks. His work appears to focus on practical applications of technology in real educational settings rather than purely theoretical investigations.

Dr. Farah's research program appears centered around developing frameworks and tools for educational technology, with particular attention to how conversational agents can be designed to support specific learning objectives. His TRACE model for educational chatbot design and work on code review notebooks represent structured approaches to integrating AI technologies into pedagogical practices while addressing the unique challenges of educational contexts.