Babak Badnava

According to our database, Babak Badnava authored at least 9 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Multi-Task Decision-Making for Multi-User 360 Video Processing over Wireless Networks.

Babak Badnava, Jacob Chakareski, Morteza Hashemi

CoRR, 2024

Multi-Task Decision-Making for Multi-User $360^{\circ}$ Video Processing over Wireless Networks.

Babak Badnava, Jacob Chakareski, Morteza Hashemi

Proceedings of the 7th IEEE International Conference on Multimedia Information Processing and Retrieval, 2024

2023

Energy-Efficient Deadline-Aware Edge Computing: Bandit Learning with Partial Observations in Multi-Channel Systems.

Babak Badnava, Keenan Roach, Kenny Cheung, Morteza Hashemi, Ness B. Shroff

Proceedings of the IEEE Global Communications Conference, 2023

A new Potential-Based Reward Shaping for Reinforcement Learning Agent.

Babak Badnava, Mona Esmaeili, Nasser Mozayani, Payman Zarkesh-Ha

Proceedings of the 13th IEEE Annual Computing and Communication Workshop and Conference, 2023

2022

QoE-Centric Multi-User mmWave Scheduling: A Beam Alignment and Buffer Predictive Approach.

Babak Badnava, Sravan Reddy Chintareddy, Morteza Hashemi

Proceedings of the IEEE International Symposium on Information Theory, 2022

Deep Reinforcement Learning for Online Latency Aware Workload Offloading in Mobile Edge Computing.

Zeinab Akhavan, Mona Esmaeili, Babak Badnava, Mohammad Yousefi, Xiang Sun, Michael Devetsikiotis, Payman Zarkesh-Ha

Proceedings of the IEEE Global Communications Conference, 2022

Sampling-Based Nonlinear MPC of Neural Network Dynamics with Application to Autonomous Vehicle Motion Planning.

Iman Askari, Babak Badnava, Thomas Woodruff, Shen Zeng, Huazhen Fang

Proceedings of the American Control Conference, 2022

2021

Spectrum-Aware Mobile Edge Computing for UAVs Using Reinforcement Learning.

Babak Badnava, Taejoon Kim, Kenny Cheung, Zaheer Ali, Morteza Hashemi

Proceedings of the 6th IEEE/ACM Symposium on Edge Computing, 2021

2019

A new Potential-Based Reward Shaping for Reinforcement Learning Agent.

Babak Badnava, Nasser Mozayani

CoRR, 2019