Teaching and Writing

Teaching

Currently:

• CSCI 1012 Intro. Programming in Python
  • Course Site
• CSCI 4511/6511 Artificial Intelligence Algorithms
  • Course Notes

Previously:

• CSCI 6366/4366 Neural Networks & Deep Learning
• CSCI 6531/4531 Computer Security
• CSCI 6917 Guided Research
• SEAS 6402 Data Analytics Capstone

Lectures:

• CSCI 1111 Intro. Software Development
• CSCI 4364/6364 Machine Learning
• MS&E 250A (Stanford) Risk Analysis
• MS&E 350 (Stanford) Risk Analysis Seminar
• AA 149 (Stanford) Operation of Aerospace Systems

Writing

K. Dobolyi, G. P. Sieniawski, D. Dobolyi, J. Goldfrank, and Z. Hampel-Arias, “Hindsight2020: Characterizing Uncertainty in the COVID-19 Scientific Literature,” Disaster Medicine and Public Health Preparedness, vol. 17, p. e437, 2023. doi:10.1017/dmp.2023.82

J. Goldfrank, M. E. Paté-Cornell, G. Forbes, and D. Liedtka, “Risk Reduction in Target Motion Analysis Using Approximate Dynamic Programming.” Military Operations Research, no. 1, 5–26, 2023 https://www.jstor.org/stable/27207613.

L. Tindall, Z. Hampel-Arias, J. Goldfrank, E. Mair and T. Q. Nguven, ”Localizing Radio Frequency Targets Using Reinforcement Learning,” 2021 IEEE International Symposium on Robotic and Sensors Environments (ROSE), FL, USA, 2021, pp. 1-7, doi: 10.1109/ROSE52750.2021.9611756.