Nana Yaa Damtewaa Anti is currently a Ph.D. candidate in Mining Engineering in the Department of Mining and Explosives Engineering at Missouri University of Science and Technology (Missouri S&T), Rolla, Missouri, USA. Her research focuses on the augmented perception and dynamic vision of autonomous haulage trucks in surface mining environments, with emphasis on advanced sensor fusion, machine learning, computer vision, and intelligent perception frameworks to improve situational awareness, obstacle detection, environmental understanding, and autonomous decision-making. She earned a Bachelor of Science degree in Electrical and Electronic Engineering from the University of Mines and Technology (UMaT), Tarkwa, Ghana. Prior to pursuing her doctoral studies, she gained professional experience in mining operations, maintenance planning, asset management, and technology integration within the mining industry. Her academic and research activities have contributed to scholarly work in mining automation, intelligent mining systems, and digital transformation. Her broader research interests include autonomous mining systems, artificial intelligence applications in mining, digital mining technologies, safety optimization, and sustainable mine operations. She actively collaborates on multidisciplinary research aimed at advancing the safety, productivity, and resilience of next-generation autonomous mining systems.