Srinivas Rahul Sapireddy

About

I am an Assistant Professor in Electrical Engineering at Illinois State University. My research focuses on hardware-aware artificial intelligence, RF signal processing, edge-intelligent systems, and VLSI design. I develop efficient machine learning and signal-processing methods for resource-constrained computing platforms.

Research Areas

• Hardware-aware machine learning for low-power edge intelligence
• RF signal processing and modulation classification using statistical and cyclostationary features
• Custom piecewise-linear activation functions for efficient neural network inference
• VLSI physical design, RTL-to-GDSII flow, and hardware acceleration
• Embedded AI deployment for communication and sensing applications

Recent Achievement

Received the Best Paper Award at RFCoN 2025 for “Re-Visiting R: Statistical Envelope Analysis” in Track 2, Session II.