SEP 2026 – PRESENT
CHIP Lab
UNDERGRADUATE RESEARCH ASSISTANT · PI: DR. HAMED DALIR · UF ECE
- Photonic data converters for a silicon-photonic AI accelerator. Synthesized the microring-resonator, phase-change-material, and quantization-codesign literature into a design-space reference covering the group’s DAC and ADC threads, with designs targeting electron-beam SOI fabrication.
SEP 2025 – PRESENT
Florida Optics and Computational Sensor (FOCUS) Lab
UNDERGRADUATE RESEARCH ASSISTANT · PI: DR. SANJEEV KOPPAL · UF ECE
- EdgeTrain: co-authored a thermal-adaptive continual-learning controller for robot-mounted edge GPUs; the manuscript is in revision for conference resubmission. Built the thermal instrumentation and evidence base: calibrated FLIR A6751sc imaging pipeline, 150 W radiant-heat stress rig, per-rail power telemetry, and DVFS characterization on a Jetson Orin NX.
- Virtual thermal sensing: sole author of a system that predicts temperatures of off-die board components (VRM inductors, MOSFETs) from on-die telemetry alone, via thermal response mapping and lumped-capacitance model fitting; a real-time daemon needs no camera after a one-time calibration. Across a 32-configuration DVFS and load sweep, the model predicts 16 board hotspots to 0.23 °C mean absolute error on operating points held out of the fit.
- Virtual thermal camera: extended that method from point prediction to the full spatial field. The board’s thermal response is low-rank enough that eight POD modes capture 99.8% of its variance, so the model predicts eight modal amplitudes from telemetry and reconstructs every pixel, to 0.16 °C mean error on held-out configurations.
JAN 2026 – MAY 2026
Machine Intelligence Laboratory (MIL)
ELECTRICAL TEAM · SUBJUGATOR 9 AUV · UF ECE
- Sole designer of the vehicle's leak-detection subsystem: comparator front end simulated in LTspice, Altium schematic capture and 2-layer layout, fabrication-released v2 with full manufacturing outputs.
JAN 2025 – APR 2025
Human Systems Engineering Lab
UNDERGRADUATE RESEARCH ASSISTANT · PI: DR. WAYNE GIANG · UF ISE
- Human factors and human-automation interaction: data collection for a driving-simulator study with older drivers, and a reproducible R analysis of student perceptions of AI tools in academic contexts, presented at the Spring Undergraduate Research Symposium.