Scholars
This page highlights scholars — both current UMKC students and alumni — who collaborate with me on research and publications.
Research Lead
Srinivas Rahul Sapireddy, PhD
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
Current UMKC student — Bachelor of Science in Electrical and Computer Engineering, 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
Alumni UMKC student — Master of Science in 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)
Jahnavi Sri Kavya Bollimuntha
Alumni UMKC Student — B.S. Computer Science and Engineering, and Master of Science in Computer Science, Fall 2023
Alumni
Deep Learning
Radio Frequence Signal Classification
Research interests
- Deep Learning
- Modulation Recognition and Classification
- Envelope statistics (R-values), Dataset Engineering
Active topics / papers
- Collaborative paper on RF signal analysis (draft in progress)