Name:
Department:
<lastname>d@mit.edu
Website: http://changd.scripts.mit.edu/changd/
Research:
I am a final-year PhD student at MIT, studying Computational Science and Engineering (Civil Engineering). My advisors are Saurabh Amin and Kerry Emanuel. Broadly speaking, my research interests lie in the application of statistical methods, stochastic models, and optimization to cyberphysical systems, risk analysis, and infrastructural resilience.
In addition to my PhD work, I have an affiliation with the U.S. Army Corps of Engineers, where I have recently developed COVID-19 microexposure models for return-to-work risk analysis.
During the summer of 2019, I interned as a Data Scientist at Spacemaker AI, where I worked on algorithms for object/shape classification in urban point cloud data.
My research has been supported by the National Science Foundation Graduate Research Fellowship Program (NSF GRFP) and the MIT Martin Sustainability Fellowship. In April 2021, I completed my thesis titled “Risk Assessment and Optimal Response Strategies for Resilience of Electric Power Infrastructure to Extreme Weather”. I plan to graduate in June 2021.
Publications:
Chang, D., Wells, E.M., Kitsak, M., Vecherin, S., Trump, B.D., Linkov, I., Desmond, J., Dunn, K., Meyer, A. "Microexposure Event Modeling for COVID-19: Methodology and Application for Return-to-Work Decisions", working paper targeted for Nature Scientific Reports.
Chang, D., Shelar, D., & Amin, S. "Leveraging DERs and Microgrids against Storm-Induced Failures for Resilient Distribution Networks", working paper targeted for European Journal of Operations Research.
Vecherin, S., Chang, D., Wells, E.M., Trump, B.D., Desmond, J., Dunn, K., Meyer, A., Kitsak, M., & Linkov, I. "Assessment of the COVID-19 infection risk at a workplace through stochastic micro exposure modeling", submitted to Journal of Exposure Science and Environmental Epidemiology.
Chang, D., Emanuel, K., & Amin, S. "Probabilistic Modeling of Hurricane Wind-Induced Damage in Infrastructure Systems", submitted to Risk Analysis.
Chang, D., Amin, S., & Emanuel, K. (2020). "Modeling and Parameter Estimation of Hurricane Wind Fields with Asymmetry", Journal of Applied Meteorology and Climatology.
Chang, D., Shelar, D., & Amin, S. (2020). "Stochastic Resource Allocation for Electricity Distribution Network Resilience", accepted at 2020 American Control Conference, Denver, CO, United States.
Chang, D., Shelar, D., & Amin, S. (2018). "DER Allocation and Line Repair Scheduling for Storm-induced Failures in Distribution Networks", 2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), Aalborg, Denmark.
Chang, D. (2015). "Assessing Impact of the Sulfate Aerosol First Indirect Effect on Tropical Cyclone Activity", M.S. Thesis, Massachusetts Institute of Technology.
Linkov, I., Eisenberg, D., Bates, M., Chang, D., Convertino, M., Allen, J.H., Flynn, S.E., Seager, T.P. "Measurable Resilience for Actionable Policy", Environmental Science and Technology, 2013.
Talks:
"Predicting Infrastructural Network Damage from Forecasts of Hurricanes using Large-Ensemble Outputs", 10th International Conference on Climate Informatics, September 2020.
"Resource Allocation and Response Strategies for Network Resilience to Extreme Weather", MIT Pierce Research Seminar, July 2020.
"Stochastic Resource Allocation for Electricity Distribution Network Resilience", American Control Conference, July 2020.
“Algorithms for Object and Shape Classification in ALS Point Clouds”, Spacemaker AI, Cambridge, MA, August 2019.
"Uncertainty-Informed Resource Allocation and Repair in Distribution Networks", MIT Lincoln Laboratory, Lexington, MA, December 2018.
“DER Allocation and Line Repair Scheduling for Storm-induced Failures in Distribution Networks”, IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, Aalborg, Denmark, November 2018.
“Resiliency-Improving Monitoring and Control Networks for Networked Distribution Infrastructures”, MIT Civil and Environmental Engineering Infrastructure Innovation in a Changing Environment Conference, Cambridge, MA, November 2015.
Courses:
Bayesian Modeling, Machine Learning, Algorithms for Inference, Optimization Methods, Resilient Infrastructure Control, Applied Probability, Random Fields
Additional Information:
I am currently an officer in MIT Kickboxing and MIT Kung Fu Taichi Club. My other interests include piano, foreign languages, and hosting Couchsurfers.