Juba Ziani

Juba Ziani
jziani3@gatech.edu
ISyE Profile Page

Juba Ziani is an Assistant Professor in the H. Milton Stewart School of Industrial and Systems Engineering. Prior to this, Juba was a Warren Center Postdoctoral Fellow at the University of Pennsylvania, hosted by Sampath Kannan, Michael Kearns, Aaron Roth, and Rakesh Vohra. Juba completed his Phd at Caltech in the Computing and Mathematical Sciences department, where he was advised by Katrina Ligett and Adam Wierman.

Juba studies the optimization, game theoretic, economic, ethical, and societal challenges that arise from transactions and interactions involving data. In particular, his research focuses on the design of markets for data, on data privacy with a focus on "differential privacy", on fairness in machine learning and decision-making, and on strategic considerations in machine learning.

Assistant Professor
Office
Room 343 | Groseclose | 765 Ferst Dr NW | Atlanta, GA
Additional Research
Game Theory Mechanism Design Markets for Data Differential Privacy Ethics in Machine Learning Online Learning
Google Scholar
https://scholar.google.com/citations?hl=en&user=1bwPKXpo97YC&view_op=list_works&sortby=pubdate
Personal Webpage

Fan Zhang

Fan Zhang
fan.zhang@me.gatech.edu
iFAN Lab

Dr. Fan Zhang received her Ph.D. in Nuclear Engineering and M.S. in Statistics from UTK in 2019. She is the recipient of the 2021 Ted Quinn Early Career Award from the American Nuclear Society and joined the Woodruff School in July, 2021. She is actively involved with multiple international collaborations on improving nuclear cybersecurity through the International Atomic Energy Agency (IAEA) and the DOE Office of International Nuclear Security (INS). Dr. Zhang’s research primarily focuses on the cybersecurity of nuclear facilities, online monitoring & fault detection using data analytics methods, instrumentation & control, and nuclear systems modeling & simulation. She has developed multiple testbeds using both simulators and physical components to investigate different aspects of cybersecurity as well as process health management.

Assistant Professor; School of Mechanical Engineering
Phone
404.894.5735
Office
Boggs 371
Additional Research
Research interests include instrumentation & control, autonomous control, cybersecurity, online monitoring, fault detection, prognostics, risk assessment, nuclear system simulation, data-driven models, and artificial intelligence applications.  
Google Scholar
https://scholar.google.com/citations?hl=en&user=9sPScawAAAAJ&view_op=list_works&sortby=pubdate
ME Profile Page