Projects
Problem: Building HVAC systems waste energy due to lack of real-time occupancy data.
Solution: Developed a deep learning model using thermal imagery to detect occupancy and optimize HVAC usage.
Tech Stack: Python, OpenCV, CNNs, thermal sensors
Impact: Improved energy efficiency; Deployed in the HVAC Lab at the Graham Hall of NCAT; accepted for oral presentation at IEEE AIPR 2020 and conference paper published.
Links: GitHub
Problem: Schools and public spaces needed fast, contactless fever detection during COVID-19.
Solution: Worked with a team to build a low-cost infrared thermal imaging system for mass fever screening.
Tech Stack: Raspberry Pi, Python, OpenCV, thermal cameras
Impact: Deployed in the Artificial Intelligence and Visualization Lab at NCAT; featured in Fox 5 Atlanta, Fox 8 Greensboro, and PBS North Carolina.
Problem: Real-world CPS attack datasets are limited and lack variability.
Solution: Created synthetic datasets using GANs and explored LLM-based pattern generation for anomaly detection.
Tech Stack: PyTorch, GANs, scikit-learn, LLM fine-tuning
Impact: Enhanced detection rates and improved model generalization across domains.
Links: GitHub
Problem: Extracting structured metadata from scientific articles is labor-intensive and error-prone when done manually.
Solution: Built a natural language processing (NLP) pipeline and developed a graphical user interface (GUI) application to extract citations, affiliations, and keywords from academic PDFs with high accuracy.
Tech Stack: Python, Fuzzy wuzzy, regex, Tkinter (GUI)
Impact: Deployed for researchers under the NSF Engineering Research Center (ERC) for Revolutionizing Metallic Biomaterials; streamlined metadata extraction for NSF and ARL grant reporting.
Links: GitHub
Problem: CPS face evolving attacks that evade single-model detection.
Solution: Designed an ensemble framework combining ML models and feature selection for robust detection.
Tech Stack: XGBoost, Random Forest, PCA, Python
Impact: Achieved high detection accuracy in multi-domain CPS attack scenarios.
Links: GitHub
Achievements & Impact
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COVID-19 Fever Detection System Featured in National Media
Designed a low-cost, non-invasive infrared fever detection system during the COVID-19 pandemic. Recognized for innovation and public health contribution.
Media Coverage:
Fox 5 Atlanta | FOX8 WGHP | PBS NC