Numerical modeling of soot production Experimental characterization of soot Soot morphology and chemical composition Physics Informed machine learning for combustion modeling and diagnostics

My work in industrial engineering encompasses the development and implementation of training programs designed to enhance human capital, targeting both industry professionals and undergraduate and postgraduate students. These initiatives emphasize the integration of theoretical knowledge with practical applications, such as employing Python for data visualization in dimensional analysis and leveraging machine learning techniques to address engineering challenges. By fostering collaborative problem-solving and promoting the strategic use of technology, these efforts aim to prepare individuals to tackle complex industrial problems while advancing their technical and professional competencies. Additionally, I have provided guidance to students in the preparation and completion of their final dissertations and theses, supporting their academic and professional development.

My academic and professional activities have emphasized the dissemination and transfer of knowledge through various channels. I have presented research findings at numerous national and international conferences, contributing to the exchange of ideas within the engineering community, specially related with energy conversion and combustion problems. Additionally, I regularly deliver seminars and talks at local universities, fostering dialogue and engagement on contemporary engineering topics. My involvement also extends to organizing and successfully securing applications for summer schools,, providing enriching educational experiences that promote advanced learning and collaboration among students and professionals. These efforts reflect a commitment to bridging the gap between academic research and practical applications, ensuring broader accessibility and impact of specialized knowledge.