Scholars
This page highlights scholars who collaborate with me on research, publications, and project development. The group includes current students, alumni, and collaborators working across RF signal processing, hardware-aware AI, digital systems, and efficient computing.
RF and Signal Intelligence
Student projects include modulation recognition, signal-domain feature extraction, envelope statistics, and lightweight RF classification.
Hardware-Aware AI
Research mentoring emphasizes efficient machine learning, model simplification, low-power inference, and deployment-aware evaluation.
Digital Systems
Student work includes logic design, Boolean minimization, circuit optimization, and hardware-oriented computing foundations.
👥 Scholars Directory
- Hardware-efficient deep learning models
- Low-power RF signal classification
- Efficient Deep Neural Networks
- RF communications
- Antenna design and simulation
- RF communication and antenna design project in progress
- RF modulation recognition
- Reinforcement learning
- Reinforcement Learning manuscript (Springer, To be submitted)
- Benchmarking R-aware binning with envelope-feature baselines (IEEE, submitted)
- Minimization techniques for Boolean functions
- Low-power circuit implementations
- Digital Circuit Optimization Techniques
🧭 Mentoring Pathways
Research Foundations
Students begin with literature review, technical reading, experimental setup, and reproducible research workflows.
Project Development
Students contribute to simulation, feature extraction, model evaluation, circuit optimization, or signal-processing pipelines.
Publication Preparation
Advanced students work toward manuscript development, result analysis, presentation preparation, and conference/journal submissions.
🤝 Interested in Joining?
Students interested in RF signal processing, hardware-aware AI, digital systems, low-power computing, or research-oriented engineering projects are welcome to reach out. Please include your research interests, relevant coursework, technical skills, and any prior project experience.