Summary
Overview
Work History
Education
Skills
Timeline
Generic

Joakim Kanichai

State College

Summary

Proactive and adaptable aerospace engineering student with a solid foundation in analytical skills and programming. Proven experience in developing reproducible research pipelines and delivering impactful results through structured experimentation and clear reporting. Committed to mastering new tools and techniques to contribute effectively to innovative, machine learning-driven research initiatives. Passionate about leveraging engineering expertise to drive advancements in the aerospace sector.

Overview

1
1
year of professional experience

Work History

Dining Hall Worker

west Halls
01.2025 - Current
  • Assisted in maintaining cleanliness of dining areas and food service stations.
  • Operated kitchen equipment to efficiently prepare food items.
  • Collaborated with team members to ensure smooth dining operations.

Researcher

Self-employeed
11.2025 - 01.2026

Timing-Jitter Robust Control Research (Python, PyTorch).

  • Built a Python simulation and benchmarking framework to evaluate controllers under variable-rate timing jitter across multiple jitter levels and disturbance conditions, with multi-seed (50) experiments.
  • Implemented and compared learning-based residual controllers (MLP, LSTM, continuous-time/LTC-style) against a PID baseline; tracked failure rate, RMSE, and steady-state variability.
  • Developed a reproducible evaluation pipeline: automated sweeps, CSV logging, and figure generation for results.
  • Performed statistically rigorous analysis using bootstrap confidence intervals and Mann–Whitney U tests, with Holm correction for multiple comparisons.
  • Produced paper-ready visualizations and structured research documentation (methods, protocol, results).
  • Conducted literature reviews to identify gaps in existing research and formulate new study ideas.
  • Designed and executed experiments using various qualitative and quantitative research methods.

Aersp 497

Class Project
08.2025 - 12.2025

Semantic Drone Navigation Using CNNs (ME459)

  • Developed a CNN-based perception pipeline for navigation using a pretrained ResNet-18 backbone (transfer learning).
  • Reduced overfitting by freezing the backbone and training the final layer on labeled image crops.
  • Trained with cross-entropy loss using the Adam optimizer, and applied data augmentation for robustness.
  • Demonstrated a navigation simulation that uses visual classification to support correct path/target identification.

Design Engineer

EDSGN 100
05.2025 - 08.2025
  • Created navigation stick for blind featuring image recognition and voice commands designed exclusively for stadium environments.
  • Developed innovative design solutions utilizing CAD software to meet project specifications.
  • Conducted thorough design reviews, identifying potential improvements and ensuring compliance with industry standards.
  • Assisted in the creation of prototypes, evaluating performance and making necessary adjustments for optimal functionality.

Education

Bachelor of Science - Aerospace Engineering

Pennsylvania State University
University Park, PA
12-2028

Skills

  • Python programming
  • Machine learning
  • Statistical analysis
  • Project management
  • Data visualization
  • Team collaboration
  • Teamwork
  • Problem solving
  • Efficient multitasking
  • Organization and cleanliness
  • Problem-solving
  • Active listening

Timeline

Researcher

Self-employeed
11.2025 - 01.2026

Aersp 497

Class Project
08.2025 - 12.2025

Design Engineer

EDSGN 100
05.2025 - 08.2025

Dining Hall Worker

west Halls
01.2025 - Current

Bachelor of Science - Aerospace Engineering

Pennsylvania State University
Joakim Kanichai