I am a Ph.D. student in Computer Science at the University of South Carolina, specializing in Edge Computing, Neuromorphic Computing (SNN), Machine Learning, and Quantization. As a Research Assistant at the iCAS Lab, I am actively involved in advancing federated learning, model compression, and intelligent chatbot architectures.
I have a strong mathematical background and a passion for AI and optimization. My work spans machine learning, differential equations, and processor architectures.
🔬 Research Interests:
- Machine Learning & Deep Learning
- Neuromorphic Computing & Spiking Neural Networks (SNNs)
- Edge Computing & AI Optimization
- Post-Training Quantization (PTQ) & SmoothQuant
- Federated Learning & Split Learning
📫 Let's Connect!
- Goal: Develop decentralized, privacy-preserving, and energy-efficient Spiking Neural Networks (SNNs).
- Tech: PyTorch, Edge AI, Federated Learning.
- Impact: Enables efficient AI models for IoT and Edge Devices.
- Goal: Implemented multi-layer perceptron and LeNet models using symmetric quantization at different bit levels.
- Tech: PyTorch, Vela, Ethos-U55.
- Impact: Optimized ML models for low-power devices with reduced performance degradation.
- Goal: Built an NLP-powered chatbot using transformers and deep learning models.
- Tech: Hugging Face Transformers, BERT, Raspberry Pi, Nvidia Jetson Nano.
- Impact: Enabled scalable and efficient deployment in multi-user environments.
✅ Deep Learning, Neural Networks, NLP
✅ Edge AI & Neuromorphic Computing (SNNs)
✅ Quantization & Model Optimization
✅ Tableau, SQL, Mars, Latex
✅ Performance Benchmarking & Numerical Analysis
✅ Matplotlib & Seaborn – Advanced plotting and statistical visualization
✅ Tableau – Interactive dashboards and business intelligence
✅ D3.js – Data-driven visualizations for web applications
✅ Plotly – Interactive plots for Python & R
✅ ggplot2 – Advanced statistical graphics in R
🎓 Ph.D. in Computer Science – University of South Carolina (2023 – Present)
🎓 B.Sc. in Applied Mathematics – Bu-Ali Sina University (2018 – 2022)
📧 Email: [email protected]
🌎 LinkedIn: My Profile
🎓 Google Scholar: My Research
📂 GitHub: My Projects
⭐ Follow me for AI & Machine Learning projects! 🚀