Hello, my name is Caleb Xavier Bugg (cv) and I am a Postdoctoral Fellow in The H. Milton Stewart School of Industrial and Systems Engineering at The Georgia Institute of Technology.
My research seeks to discover and implement quantitative methods which have a social-, civic-, and/or government-based applicatons. I hope to prescribe simple solutions that we as a global community can implement. Utilizing the math and statistical models native to Operations Research and Management, I synthesize topics that provide an analytical basis for our society to invest in long-term, social good projects.
PhD in Industrial Engineering & Operations Research, 2022
University of California, Berkeley
MS in Operations Research, 2018
University of California, Berkeley
BS in Mathematics, 2017
Morehouse College
(March 2021) C. Bugg, A. Aswani, Logarithmic sample bounds for Sample Average Approximation with capacity- or budget-constraints
(December 2022) C. Bugg, C. Chen, A. Aswani, Nonnegative Tensor Completion via Integer Optimization
C. Bugg, Zezhi Zhang, Integer Programming Approaches to the Quadratic Knapsack Problem, Spr 2020, UC Berkeley
C. Bugg, Pelagie Elimbi Moudio, Uses and Extensions of the Ramsey-Cass-Koopmans Model, Spring 2018, UC Berkeley.
C. Bugg, An Engineering Ethics Portfolio, Spring 2019, UC Berkeley
C. Bugg, Binomial Solutions to Smale’s 17th, Summer 2014, Texas A&M University.
IEOR Visit Day at UC Berkeley, Policy Implications for Sample Average Approximation, March 2020.
KPOO interview with DJ Marilynn. February 2020.
C. Bugg, G. Elvin, Committee Selection with Approval Voting and Hypercubes, Summer 2015 at MSRI, UC Berkeley.
I have served as a teaching assistant for the following courses at UC Berkeley:
Selected Lectures, Learning and Optimization, Spring 2021.
Feb. 16, 2021: A PTAS scheme for Integer Programming.
Feb. 18, 2021: SAA with L1 Constraints.