CV

The following is a web-based resume / CV. For a PDF version, click here.

Education

• (In Progress) Electrical and Computer Engineering, MS, University of Maryland (College Park), 2022-Present
• (Complete) Mathematics, BS, University of Maryland (College Park), 2019-2022
• (Complete) Electrical Engineering, BS, University of Maryland (College Park), 2019-2023
• (Complete) Montgomery Blair High School, STEM Magnet, 2015-2019

Work experience

• Summer 2023 - Present: Matician, Research Engineer
  • Designing algorithms to address open problems in simultaneous localization and mapping (SLAM) for robotics
  • Nightly map optimization (SfM)
  • Camera auto‐calibration
  • Robot’s-eye-view visualizer
  • Supervisor: Navneet Dalal
• Summer 2020 - Present: Nuro, Radar DSP Intern
  • Developing, simulating, and implementing digital signal processing algorithms for radars on self-driving delivery vehicles.
  • Supervisor: JQ Huang
• Summer 2019: Intelligent Automation: Summer Intern
  • Assisted in the hardware implementation of a bursty space-time continuous phase modulation receiver by analyzing quantization error.
  • Assisted in developing indoor positioning system technology by modifying tracking filters to include IMU data.
  • Supervisor: Babak Azimi-sadjadi
• Summer 2018: Naval Research Laboratory SED: Summer Intern
  • Developed an efficient bursty satellite ranging protocol in GNURadio.
  • Applied control loops to correct for channel impairments and implemented packet protocols.
  • Supervisor: James Pirozzoli
• Summer 2017: Naval Research Laboratory LASR: Summer Intern
  • Researched deep learning-based approaches to vehicle trilateration, working with regression models and reinforcement learning agents.
  • Supervisor: Donald Sofge

Skills

Experienced

• Rust
• Python
• C
• C++
• PyTorch
• JAX
• Git

Familiar

• Matlab
• Verilog
• LaTeX
• Tensorflow
• OpenCV
• ROS

Novice

• KiCAD
• Cadence
• Simulink
• ASM
• AWS/GCP

Publications

Wearable Interactive Display for the Local Positioning System (LPS)

D. Lofaro, C. Taylor, R. Tse, and D. Sofge, “Wearable Interactive Display for the Local Positioning System (LPS),” In 19th ACM International Conference on Multimodal Interaction (ICMI 2017) Demonstration Session, ACM, 2017.

Space-based Ionosonde Receiver and Visible Limb-viewing Airglow Sensor (SIRVLAS): A CubeSat Instrument Suite for Enhanced Ionospheric Charge Density Measurements

R. Tse, L. Cui, P. Kim, S. Swain, B. Cohen, and G. Das. “Space-based Ionosonde Receiver and Visible Limb-viewing Airglow Sensor (SIRVLAS): A CubeSat Instrument Suite for Enhanced Ionospheric Charge Density Measurements,” Proceedings of the AIAA/USU Conference on Small Satellites, SSC19-WP2-14.

Samp2Sym: Discovering Continuous Invariants of Differentiable Models

R. Tse. “Samp2Sym: Discovering Continuous Invariances of Differentiable Models,” UNDER REVIEW at The Twelfth International Conference on Learning Representations Tiny Papers, ICLR, 2024.