Ph.D. Students

Farzin Ahmadi

PH.D. STUDENT

Advisor: Prof. Kimia Ghobadi

Farzin is a PhD student of the Department of Civil and Systems Engineering (CaSE), the Center for Systems Science and Engineering (CSSE) at the Johns Hopkins University, and the Malone Center for Engineering in Healthcare at Johns Hopkins University. His research is focused on data-driven constrained inference models and their applications in healthcare. His recent work includes providing optimal models for hospital occupancy management during the COVID-19 pandemic and data-driven optimized models for health-care decision making processes.

  • Decision Making in Healthcare
  • Inverse Optimization and its applications on Healthcare
  • Optimizations and Simulations
  • Machine Learning Approaches to big data applications in Radiation Therapy

Charalampos Avraam

PH.D. STUDENT

Advisor: Prof. Sauleh Siddiqui

Charalampos is a PhD Candidate at the Department of Civil and Systems Engineering at the Johns Hopkins University, affiliated with the Center for Systems Science and Engineering (CSSE), the Mathematical Optimization for Decisions Lab (MODL), the Networked Dynamical Systems Lab (NetDyLab), and an A.G. Leventis Foundation scholar. Charalampos employs optimization-based tools and control theory to study the impact of climate change, resource availability, and renewable policies on networked food and energy infrastructures.

  • Bilevel Optimization
  • Control Theory
  • Food-Energy-Water infrastructure development
  • Power Systems

Chia-Hsiu Chang

PH.D. STUDENT

Advisor: Prof. Takeru Igusa

Ensheng Dong

PH.D. STUDENT

Advisor: Prof. Lauren Gardner​

Ensheng (Frank) is a PhD student of the Department of Civil and Systems Engineering (CaSE), the Center for Systems Science and Engineering (CSSE) at the Johns Hopkins University, and the infectious disease dynamics (IDD) group at the JHU Bloomberg School of Public Health. He is interested in interdisciplinary research on network science, mobility modeling, machine learning, spatial analysis and visualization, and infectious disease. His recent work includes forecasting measles risk in the US and the Pacific Island Countries and Territories (PICTs), visualizing and modeling the novel coronavirus (COVID-19), and predicting dengue outbreaks in Sri Lanka.

  • Network Modeling
  • Spatial Visualization
  • Infectious Disease

Hongru Du

PH.D. STUDENT

Advisor: Prof. Lauren Gardner​

Fardin Ganjkhanloo

PH.D. STUDENT

Advisor: Prof. Kimia Ghobadi

Matty Golub

PH.D. STUDENT

Advisor: Prof. Takeru Igusa

Wanyu Huang

PH.D. STUDENT

Advisor: Prof. Takeru Igusa

Max Marshall

PH.D. STUDENT

Advisor: Prof. Lauren Gardner​

Christin Salley

PH.D. STUDENT

Advisor: Prof. Takeru Igusa

Felix Parker

PH.D. STUDENT

Advisor: Prof. Kimia Ghobadi

Sonia Jindal

PH.D. STUDENT

Advisor: Prof. Lauren Gardner​

Marietta Squire

PH.D. STUDENT

Advisor: Prof. Takeru Igusa

Qi Wang​

PH.D. STUDENT

Advisor: Prof. Takeru Igusa

Siyao Zhu

PH.D. STUDENT

Advisor: Prof. Takeru Igusa

Post-docs and Researchers

Hamada Badr

Assoc. Research Scientist

Team: Prof. Lauren Gardner​

Today, there are many skilled and talented research scientists working across industry and applying their abilities to solve challenging problems of their field. It is rare, however, to find a scientist who dynamically combines multiple disciplines (interdisciplinary research), innovative ideas and software approaches to solve complex real-world problems using (big) data analytics and numerical simulations. I am a data scientist with broad and in-depth skills and more than two decades of experience in statistical analysis, numerical modeling of physical processes, data visualization, and software development as well as project management and leadership. I am a software-independent developer who can easily and quickly switch between different platforms and master new solutions. I am trained first in aerospace engineering and earth sciences, and I have developed my skills in programming, mathematics, statistics, and physics to address grand challenges in aerodynamics, hydroclimate, drought monitoring and early warning, food and water security, and global health.

  • Machine Learning & Artificial Intelligence
  • Spatiotemporal Analysis of Hydroclimate Variability
  • Multiscale Hydroclimate Dynamics & Change
  • Satellite Remote Sensing & Earth Observation
  • Numerical Modeling & Data Assimilation
  • Dynamical & Statistical Downscaling
  • Numerical Weather Prediction (NWP)
  • Computational Fluid Dynamics (CFD)
  • High Performance Computing (HPC)
  • Applications of Big Data in Real Life Problems

Kristen Nixon

Team: Prof. Lauren Gardner​

Alumni

Ying Zhang

Mascot

TimTam

chief cute officer (CCO)