I am primarily interested in ML for Networking, specifically applying Multi-agent Reinforcement learning in Software Defined Network to optimize network performance under Wireless Networking and Federated Learning environment.
Graduate Research Assistant (with Dr. Pu Wang),
Jan, 2018 - Present
Developed intelligent software defined wireless mesh networking testbed that can provide intelligent and autonomous wireless edge computing platform for IoT, Image recognition, Virtual and Augmentation reality devices
Student Contractor in Quality Assurance,
Jun, 2014 - Dec, 20162 years 6 months
Executing test cases designed to validate host software features, controller firmware features, disk drive functionality, and component (host adapters, switches, and hubs) interoperability
Python
C/C++
HTML/CSS
SQL
Shell Scripting
TensorFlow
PyTorch
OpenAI Gym
Open MPI
RYU Controller
Mininet
Computer Science, Doctor of Philosophy, University of North Carolina at Charlotte
Jan, 2018 - Present
Computer Networking, Masters of Science, Wichita State University
Jun, 2016 - Dec, 2027
4.00Computer Engineering, Bachelor of Science, Wichita State University
Aug, 2012 - May, 2016
3.45FedAir: Towards Multi-hop Federated Learning Over-the-Air, 2020 IEEE 21st International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
Published on: Apr 01, 2020
Towards In-Band Telemetry for Self Driving Wireless Networks, INFOCOM 2020 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)
Published on: Jan 01, 2020
Distributed Multi-Hop Traffic Engineering via Stochastic Policy Gradient Reinforcement Learning, 2019 IEEE Global Communications Conference (GLOBECOM)
Published on: Jun 01, 2019
Delay-Optimal Traffic Engineering through Multi-agent Reinforcement Learning, IEEE INFOCOM 2019 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)
Published on: Jan 01, 2019
Poetry
