Delay-Aware Reinforcement Learning for Highway On-Ramp Merging under Stochastic Communication Latency
Journal IEEE Internet of Things Journal · Accepted for publication
PhD Student, Computer Science · Washington, DC
Journal IEEE Internet of Things Journal · Accepted for publication
Conference Workshop on Planning in the Era of LLMs (LM4Plan), International Conference on Machine Learning (ICML) · Seoul, South Korea
Conference Proceedings of the European Conference on Computer Vision (ECCV) Workshops · Malmö, Sweden
Conference SESAR Innovation Days 2025 · Bled, Slovenia · Paper
Intelligent Aerospace Systems Lab, George Washington University
Develop autonomous decision-making models to solve complex air traffic optimization challenges while ensuring safety, capacity, and operational efficiency.
Operations and Environment, Aerospace Engineering, TU Delft
Develop a generalizable safe reinforcement learning framework for scalable, multi-agent air traffic control.
Engineering and Applied Sciences, George Washington University · Washington, DC, USA
Concentration: Machine Intelligence and Cognition
GPA: 4.0/4.0
Department of Computer Science, University of Maryland · College Park, MD, USA
Coursework: Algorithmic Game Theory; Introduction to Quantum Information Processing
Pennsylvania State University · University Park, PA, USA
Department of Mathematics, Hasanuddin University · Makassar, Indonesia
GPA: 3.98/4.0
Hasanuddin University