Scholars
This page highlights scholars who collaborate with me on research, publications, and project development, including current students and alumni.
Research Lead
Srinivas Rahul Sapireddy, Ph.D.
Assistant Professor, College of Engineering, Illinois State University
Guide
Hardware-Aware AI
RF Signal Classification
Research interests
- Hardware-efficient deep learning models
- Low-power RF signal classification
Active topics / papers
- Efficient Deep Neural Networks
Current Students
Abreham Mesfin
UMKC — B.S. Electrical and Computer Engineering (Expected 2028)
Current
Logic Design
Engineering Computation
Research interests
- Minimization techniques for Boolean functions
- Low-power circuit implementations
Active topics / papers
- Digital Circuit Optimization Techniques (To be submitted)
Alumni
Hemanth Bandi
UMKC — M.S. Computer Science (Spring 2023)
Alumni
RF
Deep Learning
Reinforcement Learning
Research interests
- RF modulation recognition
- Reinforcement learning
Active topics / papers
- Reinforcement Learning manuscript (Springer, To be submitted)
- Benchmarking R-aware binning with envelope-feature baselines (IEEE, submitted)