Dalton Lunga
About Dalton Lunga
Dalton Lunga is a Group Lead and Senior R&D Scientist at Oak Ridge National Laboratory, specializing in privacy methods, computer vision, and explainable AI. He holds a PhD in Electrical and Computer Engineering from Purdue University and has extensive experience in research and academia.
Current Position at Oak Ridge National Laboratory
Dalton Lunga serves as the Group Lead and Senior R&D Scientist at Oak Ridge National Laboratory, a position he has held since 2016. In this role, he leads a team that specializes in various advanced research areas, including privacy methods, computer vision, probabilistic reasoning, explainable AI, natural language processing, and spatio-temporal analytics. His work focuses on the ethical implications of GeoAI systems and multimodal analytics, contributing to the laboratory's innovative research initiatives.
Previous Experience at CSIR
Before joining Oak Ridge National Laboratory, Dalton Lunga worked at the Council for Scientific and Industrial Research (CSIR) in Pretoria from 2013 to 2016 as a Senior Research Scientist. He also held the position of Research Engineer at CSIR for a brief period in 2007. During his tenure, he co-founded the flagship DSIDE data science program, which aimed to enhance data science capabilities within the organization.
Academic Background in Electrical Engineering
Dalton Lunga has an extensive academic background in Electrical Engineering. He earned his Bachelor of Engineering degree from the University of Johannesburg from 2001 to 2004. He then pursued a Master of Science in Electrical Engineering at the University of the Witwatersrand from 2005 to 2006. Lunga continued his studies at Purdue University, where he obtained both a Master of Science and a Doctor of Philosophy in Electrical and Computer Engineering, completing his PhD in 2012.
Teaching Experience at Purdue University
Dalton Lunga served as a Graduate Teaching Assistant at Purdue University from 2007 to 2012. During this five-year period, he contributed to the academic development of students in the Electrical and Computer Engineering department, gaining valuable experience in teaching and mentoring.
Publications and Contributions to Research
Dalton Lunga has made significant contributions to the field of research, having published over 60 refereed articles, including book chapters, journal articles, and conference papers. His work reflects his expertise in various domains, including privacy methods and AI ethics, and highlights his commitment to advancing knowledge in his field.