About

๐Ÿ‘จโ€๐ŸŽ“ About Me

I'm Srinivas Rahul Sapireddy, Ph.D., Assistant Professor in College of Engineering at Illinois State University (ISU). My research bridges low-power hardware-aware AI, RF signal classification, and VLSI design for edge intelligence.

I bring a dual passion for teaching and research โ€” currently teaching Logic Design and Engineering Computation while having taught ASIC Physical Design and Analog IC Design.

๐Ÿง  Research & Technical Focus

  • ๐Ÿงฎ Custom Activation Functions for Efficient Neural Networks
  • ๐Ÿ“ถ RF Modulation Classification using Time-Frequency Features
  • โš™๏ธ VLSI Physical Design, RTL-to-GDSII & Timing Analysis
  • ๐Ÿ“ฆ Embedded AI Accelerators and SoC Architectures

Research Assistant at Missouri Institute of Defense and Energy ยท AI Intern at SmartBridge Pvt. Ltd.

๐Ÿ“š Publications

  • โœ… GLSVLSI 2025: Custom Activation Functions for LSTMs
  • โœ… RFCoN 2025: Statistical Envelope Analysis for RF Signals
  • ๐Ÿ“‘ MDPI Electronics (Published): Adversarial Detection in IoT
  • ๐Ÿ“– Memories Journal: Piecewise Approximations for Neural Networks

๐Ÿ“Ž View my complete list of publications โ†’

๐Ÿ… Awards & Recognitions

  • ๐Ÿ† Best Paper Award โ€“ RFCoN 2025 (Track 2, Session II)
  • ๐Ÿฅˆ 2nd Prize โ€“ Hack-A-Roo Fall 2022 (Entrepreneur Track)
  • ๐Ÿฅ‰ 3rd Prize โ€“ Hack-A-Roo Fall 2021 (CS/IT Track)
  • ๐ŸŽ“ Deanโ€™s International Scholar Award โ€“ UMKC
  • ๐ŸŽ“ CS Balaji Memorial Travel Grant โ€“ 2025
  • ๐Ÿ… Honor Society โ€“ IEEE-HKN (Eta Kappa Nu)

๐Ÿ“œ Certifications & Skills

  • ๐Ÿ“Š Product Management โ€“ CII
  • ๐Ÿค– AI & MLOps โ€“ Duke University, CDAC
  • ๐Ÿ“ˆ Statistical Learning โ€“ Stanford University
  • ๐Ÿ“ Math for ML โ€“ Imperial College London

๐Ÿ’ผ Hands-on with: Verilog, Yosys, OpenSTA, Docker, TensorFlow Lite, PyTorch, Scikit-learn

๐ŸŒ Letโ€™s Connect

๐Ÿš€ Open to Collaborate

If you're working on efficient edge AI, signal intelligence, or hardware-software co-design, letโ€™s connect. Iโ€™m always open to collaboration, mentorship, and research discussions.