Kamal Acharya

Postdoctoral Research Associate at Baylor University

Academic Profile

Curriculum Vitae

I develop interpretable and neurosymbolic AI methods for Advanced Air Mobility, connecting demand forecasts with optimization and simulation to support infrastructure and operational decisions.

Education

Experience

Postdoctoral Research Associate · Baylor University

August 2026–Present · Department of Mechanical Engineering

Working with Dr. Liang Sun in the Advanced Vehicle Intelligence and Autonomy (AVIA) Lab.

  • Contribute to NASA ULI research on mobility–energy coordination for Advanced Air Mobility infrastructure and operations.
  • Connect demand projections with aircraft assignment and scheduling, distributed optimization, and simulation to evaluate safe, energy-efficient operating scenarios.

Graduate Research Assistant · University of Maryland, Baltimore County (UMBC)

August 2023–May 2026

  • Developed data-driven and neurosymbolic models for Advanced Air Mobility demand estimation.
  • Built rolling-horizon simulation workflows for mobility-planning scenarios.
  • Contributed to NASA ULI analyses connecting demand forecasts with infrastructure planning and policy scenarios.

Research Assistant · Embry-Riddle Aeronautical University

August 2022–August 2023

  • Studied air-mobility prediction and optimization for emergency scenarios.
  • Built deep-learning workflows for micro- and macro-level mobility prediction.

Selected Publications

Honors & Recognition

Professional Service & Membership

Leadership and Conference Service

Editorial Role

Journal Peer Review Service

Professional Memberships

Research Methods & Technical Skills

Research Methods

Advanced Air Mobility demand modeling · Deep learning · Reinforcement learning · Neurosymbolic AI · Mixed-integer and distributed optimization · ADMM · Gravity modeling · Scenario-based simulation

Programming

Python · C · C++ · PHP · SQL

Software & Research Tools

PyTorch · TensorFlow · Scikit-learn · Gurobi · Pyomo · MATLAB · Git · MySQL · CircuitLab

Additional Information

Last updated: October 2026