Babak Aslani
Scholar

Babak Aslani

Google Scholar ID: s60m-LwAAAAJ
Postdoctoral Scholar, George Mason University
OptimizationNetwork OptimizationMachine LearningMulti-criteria Decision-making
Citations & Impact
All-time
Citations
270
 
H-index
8
 
i10-index
8
 
Publications
14
 
Co-authors
0
 
Contact
Resume (English only)
Academic Achievements
  • Published several papers, including 'A graph-empowered agent-based simulation: Impacts of coordination schemes on critical infrastructures resilience', 'A systematic review of optimization methods for recovery planning in cyber-physical infrastructure networks: Current state and future trends', 'Ensemble framework for causality learning with heterogeneous Directed Acyclic Graphs through the lens of optimization'.
Research Experience
  • Conducts research in optimization, machine learning, and decision science, particularly in scalable optimization for large-scale networks, learning-based solution algorithms for mixed-integer programming (MIP) and Quadratic Programming (QP) models. Also works on data-driven decision support systems (DSS) to address complex and uncertain problems across engineering, healthcare, and policy domains.
Education
  • Holds a Ph.D. in Systems Engineering and Operations Research from George Mason University.
Background
  • Postdoctoral Researcher at the Department of Systems Engineering and Operations Research at George Mason University. Combines research, teaching, and service to advance systems optimization and data-driven decision science. Develops data-driven methods in optimization, machine learning, and decision science to tackle complex societal challenges, from urban infrastructure to safety-critical systems.
Miscellany
  • Passionate about research, mentoring students, teaching courses in data analytics and operations research, and translating research into projects with broad impact.
Co-authors
0 total
Co-authors: 0 (list not available)