Prince Steven Annor is an Assistant Instructor of Engineering at New York University Abu Dhabi (NYUAD). He completed his BSc in Computer Engineering after studying and working in Ab...
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Prince Steven Annor is an Assistant Instructor of Engineering at New York University Abu Dhabi (NYUAD). He completed his BSc in Computer Engineering after studying and working in Abu Dhabi, New York, Shanghai, Accra, Karnataka, Mumbai, and Manila during his undergraduate years at NYUAD.
His journey with computer programming started in 2014 at an innovation boot camp, where he led his team to win the pitch day. Prince has since worked on various projects that connect people to services that improve productivity like the Mobile Print Project in 2016 that provided over 500 students with mobile printing capability. In 2018, he and two colleagues won the UAE Space Hackathon in Dubai. He also placed second in the HackNYU competition at NYUAD.
In research, Prince developed a haptic-enabled virtual reality museum and co-authored an IEEE publication titled 'The Role of Haptics in Digital Archaeology and Heritage Recording Processes' in 2018. He also built a computer vision and Simultaneous Localization and Mapping system in 2019 that can be applied to collaborative drone swarms for relative localization.
In education, Prince has shared his passion for coding by teaching and mentoring over 100 students at several coding workshops in Accra and in Abu Dhabi. In 2019, he was awarded the Processing Foundation fellowship, where he developed an automatic grading system and launched a mobile-based coding learning platform to over 700 students in Africa and the diaspora. He also co-authored 8th Computer Science Education Research Conference paper, ‘Keep Calm and Code on Your Phone: A Pilot of SuaCode, an Online Smartphone-Based Coding Course’ in 2019.
He is currently developing a calm computing system with the Robotics and Intelligent Systems Control Group at NYUAD. The Internet of Things section of the system incorporates various sensors, actuators, communication protocols, and mobile and watch applications with Google Assistant for effective control and automation in calm computing applications. The system is managed by an unmanned ground vehicle that runs the various control software services and uses Hector SLAM for real-time optimal geodesic trajectory planning. His research interests are in Computer Science Education, Internet of Things, and Embedded Systems.