RESEARCH 01
Predictive Healthcare Analytics
Machine-learning systems for early disease detection, patient risk assessment, and data-informed clinical support.
Healthcare AI · ML · Analytics
01 — About
Research guided by purpose.
I work at the intersection of artificial intelligence, machine learning, and healthcare—turning complex data into systems that can support earlier detection and better decisions.
I am pursuing a PhD in Artificial Intelligence at the University of the Cumberlands. My research explores intelligent healthcare systems for disease prediction and diagnosis, with an emphasis on practical, responsible, and clinically meaningful AI.
I earned my MS in Computer Science from California State University, Los Angeles, where my thesis, AvianGuard, investigated drone-based computer vision for bird identification and aviation risk mitigation. My broader work spans machine learning, computer vision, cybersecurity, and data analytics.
Current focusAdaptive AI/ML for disease prediction, diagnosis, and personalized care
Research approachModel development, system validation, responsible deployment, and collaboration
Long-term goalBuild trustworthy intelligence that improves healthcare access and outcomes
02 — Research
Intelligence that moves beyond the lab.
My projects connect rigorous computational methods with challenges that affect health, safety, and society.
RESEARCH 02
Medical Imaging & Diagnosis
Deep-learning and ensemble approaches that identify meaningful patterns in medical images and multimodal health data.
Computer Vision · Ensembles · DL
RESEARCH 03
AvianGuard
A drone-based computer-vision approach to bird identification and airport risk mitigation using modern object detection.
YOLOv8 · Detectron2 · Safety
03 — Selected Work
Research & publications.
Selected contributions across intelligent healthcare, diagnostic modeling, cybersecurity, and computer vision.
2025
Efficient Multi-Modal Fusion Framework with Advanced AI-Driven Approaches for Automated Parkinson's Disease Detection
Intelligence-Based Medicine.
2025
A Novel Diagnostic Framework with an Optimized Ensemble of Vision Transformers and Convolutional Neural Networks for Enhanced Alzheimer's Disease Detection in Medical Imaging
Diagnostics, 15(6), 789.
2024
Evaluation of Feature Transformation and Machine Learning Models on Early Detection of Diabetes Mellitus
IEEE Access.
2022
Data-Driven Security: Improving Autonomous Systems Through Data Analytics and Cybersecurity
Journal of Computer Science and Technology Studies, 4(2), 182–190.
2024
AvianGuard: A Drone-Based Approach for Bird Identification and Risk Mitigation
Master’s thesis, California State University, Los Angeles.
04 — Journey
Education & experience.
A foundation in computer science, academic research, teaching, data, and systems analysis.
PhD in Artificial Intelligence
University of the Cumberlands · Williamsburg, Kentucky.
MS in Computer Science
California State University, Los Angeles · Advisor: Dr. Jung Soo Lim.
B.Tech in Computer Science & Engineering
Lovely Professional University · Punjab, India · Advisor: Dr. Arun Malik.
IT System Analyst
Mainwins Inc. · Grapevine, Texas.
Data Analyst
Taskimpetus Inc. · New Orleans, Louisiana.
Teaching Associate
California State University, Los Angeles · Structured Programming.
Graduate Assistant
California State University, Los Angeles · Academic and faculty support.
PythonPyTorchTensorFlowYOLOv8Detectron2OpenCVScikit-learnSQLRAWSAzureData Visualization