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Education

PhD Candidate, Electrical Engineering

Fall 2020 - Spring 2026

Cornell University, Ithaca, NY

GPA: 4.09/4.30

BS, Electrical Engineering, Summa Cum Laude

September 2016 - June 2020

University of California, Los Angeles (UCLA), Los Angeles, CA

GPA: 3.92/4.00

Research Experience

PhD Research — Napp Lab at Cornell University

Fall 2020 - Present

  • Proposed an improved Bag-of-Words (BoW) image retrieval system for higher precision and recall for ground texture localization
  • Utilized better BoW vocabularies and exploited ground texture localization problem constraints to improve the mean average precision from 0.026 to 0.559 for global localization
  • Developed an algorithm to localize a mobile robot using images of the ground texture
  • Used image feature matching and spatial filtering to achieve submillimeter localization precision on areas covering more than $100~m^{2}$
  • Demonstrated the utility of leveraging ice and water phase transitions to augment the capabilities of diverse robotic systems, including rovers, modular robots, and soft robots
  • Developing deep learning feature detector tailored to ground texture by leveraging rotation-equivariant convolutional filters

Artificial Intelligence/Computer Vision Intern — EpiSys Science Inc.

Fall 2019 - 2020

  • Proposed a novel reinforcement learning algorithm for an agent to exploit partial environment information while learning POMDP environments
  • Decreased SPOMDP model generation times by 31-63% while improving robustness

Research Assistant — Interconnected and Integrated Bioelectronics Lab, UCLA

Fall 2016 - Spring 2020

  • Designed and manufactured a skin health monitor and a bladder monitor
  • Collaborated on a device that uses photoplethysmography (PPG) to detect blood clots after surgery
  • Engineered a device that non-invasively extracts sweat to determine blood glucose levels for diabetics

Capstone Project — UCLA ECE 183DB Design of Robotic Systems

Spring 2019

  • Worked as a team to build a multi-robot system that used RFID tags for spatial communication
  • Observed a 3x mapping speed increase for robots using the spatial communication method vs without

Publications

  • “Improved Bag-of-Words Image Retrieval with Geometric Constraints for Ground Texture Localization”, ICRA (2025)
  • “Frozen Assets: Leveraging Ice, Water, and Phase Transitions in Robots”, IROS (2024)
  • “Lightweight Ground Texture Localization”, ICRA (2024)
  • “Inexpensive, Automated Pruning Weight Estimation in Vineyards”, ICRA (2024)
  • Textbook chapter: “Wearable Chemical Sensors” in Wearable Bioelectronics (2020)
  • Best Research Poster: UCLA Electrical Engineering Annual Research Review (2019)
  • “Emerging wearable technologies for personalized health and performance monitoring”, SPIE Defense and Commercial Sensing Conference (2018)
  • Best Undergraduate Research Poster: UCLA Electrical Engineering Annual Research Review (2018)

View all publications

Teaching Experience

Teaching Assistant - ECE 3140 Embedded Systems

Spring Semesters 2021-2024

  • Led a team of teaching assistants in the delivery of weekly discussion sections for a lower-level undergraduate embedded systems course
  • Developed novel course content, including live hardware demonstrations, to provide students with hands-on learning experiences
  • Achieved consistently high ratings on mid-semester and end-of-semester student evaluations

Skills

  • Localization, Mapping, SLAM, Computer Vision, Machine Learning, Al, ROS, Python, C++, C

Honors and Awards

  • Participant, ICRA 2025 PhD Consortium, May 2025
  • McMullen Fellowship, Fall 2025
  • Lester Eastman Fellowship, Fall 2023
  • Cornell ECE Outstanding TA Award, 2021-2022

Outreach and Service

  • Volunteer Firefighter at Cayuga Heights Fire Department, Spring 2022 – Fall 2023
  • “Write A Researcher” Mentor, Fall 2021 – Summer 2023

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