I received the M.S. and Ph.D. degrees in Electrical Engineering from the Illinois Institute of Technology, Chicago, IL, USA, in 2016 and 2021, respectively. I am currently a senior applied scientist with the IC3-AI team at Microsoft. Prior to joining Microsoft, I was a postdoctoral researcher in the Mathematics and Computer Science Division at Argonne National Laboratory. My research interests span the broad areas of reinforcement learning, statistical machine learning, data-driven optimization of next generation wireless networks, and statistical signal processing. I received a Fulbright Predoctoral Scholarship from the U.S. Department of State in 2015, and the Starr/Fieldhouse Research Fellowship from Illinois Tech in 2019. I am a member of IEEE, IEEE ComSoc, IEEE HKN, SIAM, and AAAS.
Science Research Interests
- Reinforcement learning and statistical machine learning
- Quantum machine learning
- Digital signal processing and statistical signal processing
Wireless Networking Research Interests
- Data-driven wireless network optimization and resource management
- Analysis and protocol design for next generation wireless networks
C/C++, Matlab, Python (incl: NumPy, Pandas, TensorFlow, Scikit-learn, Gym, Jupyter), Java, PL/SQL, Network Simulator 3 (NS-3), OpenCV Library.
OpenMP, MPI, Pthreads
PIC Micro-controller, Arduino, Raspberry Pi
Cisco Network Management (Routing & Switching, Wired & Wireless)