Research Assistant
Carnegie Mellon University, Wireless Sensing and Embedded Systems (WiSE) Lab,
Pittsburgh, PA, 2013 – 2018
Designed machine learning models and processing workflow for ultrasonic smart speaker systems that can
perform tasks ranging from room reconstruction to people counting and localization.
Developed an embedded platform with the learning algorithms implemented and evaluated in real-world
environments.
Contributed to the development of real-time operating systems.
National Taiwan University, Mobile and Vehicular Network Lab (MVNL), Taipei,
Taiwan, 2010 – 2012
Developed predictive models and simulators in collaboration with Intel lab to evaluate vehicular ad-hoc
network (VANET) applications.
Conducted original research in vehicular networking, visible light communication (VLC) and visible light
localization.
Publications
O. Shih and A. Rowe. “Can a Phone Hear the Shape of the Room?”. In: Proceedings of the 18th International Conference on Information Processing in Sensor Networks (IPSN). Montreal, Canada, Apr. 2019.
O. Shih, P. Lazik, and A. Rowe. “AURES: A Wide-Band Ultrasonic Occupancy Sensing Platform”. In: Proceedings of the 3rd ACM International Conference on Systems for Energy-Efficient Built Environments (BuildSys). Palo Alto, USA, Nov. 2016.
M. Buevich, X. Zhang, O. Shih, D. Schnitzer, T. Escalada, A. Jacquiau-Chamski, J. Thacker, and A. Rowe. “Microgrid Losses: When the Whole is Greater Than the Sum of Its Parts”. In: Proceedings of the ACM/IEEE 7th International Conference on Cyber-Physical Systems (ICCPS). Vienna, Austria, Apr. 2016.
P. Lazik, N. Rajagopal, O. Shih, B. Sinopoli, and A. Rowe. “ALPS: A Bluetooth and Ultrasound Platform for Mapping and Localization”. In: Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems (SenSys). Seoul, South Korea, Nov. 2015.
O. Shih and A. Rowe. “Occupancy Estimation Using Ultrasonic Chirps”. In: Proceedings of the ACM/IEEE 6th International Conference on Cyber-Physical Systems (ICCPS). Seattle, USA, Apr. 2015.
S. Yu, O. Shih, H. Tsai, N. Wisitpongphan, and R. D. Roberts. “Smart Automotive Lighting for Vehicle Safety”. In: IEEE Communications Magazine. Dec. 2013.
O. Shih, H. Tsai, H. Lin, and A. Pang. “A Rule-Based Mixed Mobility Model for Cars and Scooters”. In: IEEE Vehicular Networking Conference (VNC). Amsterdam, Netherlands, Nov. 2011.
Teaching and Coursework at CMU
Teaching Experience
18-648 Real-time Embedded System, Prof. Raj Rajkumar
18-748 Wireless Sensor Network, Prof. Raj Rajkumar
Coursework
18-701 Machine Learning
15-780 Artificial Intelligence
18-648 Real-time Embedded System
18-748 Wireless Sensor Network
18-859 Special Topics in Wireless Networks and Mobile Computing
18-751 Stochastic Processing
18-758 Wireless Communication
18-645 How to Write Fast Code
18-797 Machine Learning for Signal Processing (audit)
10-703 Deep Reinforcement Learning and Control (audit)