📚Research

Academic Research

Exploring the intersection of Large Language Models, wireless networks, and intelligent systems. My research focuses on applying ML/AI to solve real-world communication challenges.

Google Scholar Profile

Tech Stack

PyTorchPyTorch
PythonPython
HuggingFaceHugging Face
TensorFlowTensorFlow
NumPyNumPy
PandasPandas
LaTeXLaTeX
JupyterJupyter
GitGit
LinuxLinux
DockerDocker
AWSAWS
PyTorchPyTorch
PythonPython
HuggingFaceHugging Face
TensorFlowTensorFlow
NumPyNumPy
PandasPandas
LaTeXLaTeX
JupyterJupyter
GitGit
LinuxLinux
DockerDocker
AWSAWS

Publications

✓ Accepted • IEEE ICC 2026

CTMap: LLM-Enabled Connectivity-Aware Path Planning in Millimeter-Wave Digital Twin Networks

Authors: Including Sai Teja Srivillibhutturu

IEEE International Conference on Communications (ICC) - CQRM Workshop 2026

Abstract: This paper presents CTMap, a novel framework that leverages Large Language Models for connectivity-aware path planning in millimeter-wave (mmWave) digital twin networks. By integrating LLM-based decision pipelines with OpenStreetMap data and Sionna 6G digital twin simulations, CTMap enables intelligent path planning that considers network connectivity constraints.
Large Language Models mmWave Networks Digital Twin Path Planning 6G Communications
Read Paper (arXiv) Google Scholar

Research Interests

🤖

LLMs for Wireless

Applying Large Language Models to wireless network optimization.

📡

6G & mmWave

Next-generation wireless and digital twin simulations.

🧠

Deep Learning

GPU optimization and efficient neural architectures.

🗺️

Path Planning

Intelligent navigation with connectivity awareness.

Research Experience

1
IEEE Publication
ICC
Top Conference
UTA
Research Lab

Graduate Research Assistant

The University of Texas at Arlington • Jun 2025 - Present

Leading ML systems development on CTMap project. Designed end-to-end LLM inference pipelines integrating OpenStreetMap data with Sionna 6G digital twin simulations. Built scalable feature pipelines and fine-tuned LLMs using PyTorch with 10K+ supervision examples.

Interested in Collaboration?

I'm open to research collaborations in LLMs, wireless networks, and ML systems.

Get In TouchGoogle ScholarRead CTMap Paper