Jon Maravilla

Jon Maravilla

Undergraduate researcher, Efficient AI Lab at Oakland University

  • Sustainable AI
  • Efficient agentic systems

About

Hi there! My name is Jon, I'm a computer science sophomore at Oakland University and a research assistant in the Efficient AI Lab, advised by Dr. Kaiqi Zhao. My research interests include sustainable AI and efficient agentic systems. Recently, I've focused on modeling the runtime and energy consumption of diffusion models.

Outside of research, I previously competed for Team USA in figure skating, earning a junior national medal and reaching a top-60 world ranking. I still currently coach and choreograph part-time.

Recent updates

  1. Oct 2026

    Won Hacktoberfest x GrizzHacks at Oakland University.

  2. Sep 2026

    Selected for the NSF S-STEM Scholarship program.

  3. Jul 2026

    DiTCarbon accepted to the Trustworthy AI4Good Workshop at ICML 2026 (First-author).

  4. Mar 2026

    DA-QAKD accepted to IJCNN 2026 (Co-authored).

Publications

DiTCarbon pipeline: DiT architecture and generation configs feed parameter, hardware-efficiency and FLOP models, which drive operational and embodied carbon, summed into total CO2eq.

DiTCarbon: Predictive Carbon Footprint Estimation for Diffusion Transformer Inference

DiTCarbon: Predictive Carbon Footprint Estimation for Diffusion Transformer Inference

Jon Maravilla, Justin Kur, Kaiqi Zhao

Trustworthy AI4Good Workshop, ICML 2026

Predicts the energy use and carbon emissions of AI image and video generation. Cuts energy-prediction error by 36% versus a runtime-informed baseline and 59% versus a learned baseline.

Attention heatmaps comparing the teacher model, Trivial Augment and standard data augmentation.

Data-Augmented Quantization-Aware Knowledge Distillation

Data-Augmented Quantization-Aware Knowledge Distillation

Justin Kur, Jon Maravilla, Kaiqi Zhao

International Joint Conference on Neural Networks (IJCNN), IEEE WCCI 2026

Uses data augmentation to strengthen quantization-aware knowledge distillation, improving Top-1 test accuracy by up to 10% for sub-8-bit CNNs.

Experience

  1. Undergraduate Research Assistant

    Efficient AI Lab, Oakland University. Advised by Dr. Kaiqi Zhao.

    2025 – Present

  2. Co-founder, Ysari Digital

    Websites and digital marketing for small businesses

    2023 – 2025

Contact

The best way to reach me is email.

imaravilla@oakland.edu