Gabriel Gozum

M.S. Computer Sciences

GPA 3.88/4.00. Focus in computer vision, adversarial machine learning, and deep learning.

B.S. Computer Science and Electrical Engineering

GPA 3.82/4.00. Computer science focus in machine learning and operating systems. Electrical engineering focus in digital signal processing.

College Preparatory School

Received two Presidential Awards in Mathematics, Arts and Scholarship. AP Scholar with Distinction.

Perception Engineer

Perception Intern

Deep Learning Vision Researcher

Research focus on improving out-of-distribution object detection under Dr. Sharon Li. Emphasis on producing robust models impervious to domain shifts.

DSP Intern

Developed and tested confidence score for 5D point cloud data. SIMD hardware acceleration for multi-core processor with shared memory FPGA interaction.

Autopilot Hardware Intern

Developed SLAM based object recognition algorithm with O(N) run time execution compared to previous O(N²)

Firmware Lead

Designed electronics and wrote firmware for modular battery management system for 77S4P Li-Ion accumulator. Firmware incorporates Kahlman filter tuned off battery modeling simulation.

Software Engineering Intern

Developed and tested SPI drivers for interacting with various ICs. Wrote CAN bootloader for Cortex-M4 based MCU.

SIREN: Shaping Representations for Detecting Out-of-distribution Objects

Unkown-Aware Object Detection: Learning What you Don't Know from Videos in the Wild

Poster Presentation

arXiv:2203.03800