RESEARCH 01
Healthcare AI & Predictive Analytics
Developing machine-learning and deep-learning models for disease detection, predictive analytics, and patient risk assessment.
Disease Detection · Predictive Analytics · AI/ML
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
AI and machine learning for real-world challenges.
My research spans healthcare artificial intelligence, computer vision, cybersecurity analytics, and intelligent data-driven applications.
RESEARCH 02
Medical Image Analysis & Clinical Support
Applying intelligent models to medical image analysis and clinical decision support systems for improved diagnosis and care.
Medical Imaging · Diagnosis · Decision Support
RESEARCH 03
Computer Vision & Intelligent Systems
Using computer vision, object detection, cybersecurity analytics, and data-driven methods to address healthcare, safety, and automation challenges.
Computer Vision · Object Detection · Cybersecurity
03 — Selected Work
Research & publications.
Selected contributions across intelligent healthcare, diagnostic modeling, cybersecurity, computer vision, and interdisciplinary research.
2026
Biosynthetic Pathways of Fungal Secondary Metabolites
Book chapter on fungal secondary-metabolite biosynthesis.
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.
2024
AvianGuard: A Drone-Based Approach for Bird Identification and Risk Mitigation
Master’s thesis, California State University, Los Angeles.
2022
Data-Driven Security: Improving Autonomous Systems Through Data Analytics and Cybersecurity
Journal of Computer Science and Technology Studies, 4(2), 182–190.
04 — Journey
Education & experience.
A foundation in computer science, academic research, teaching, data, and systems analysis.
PhD Student 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 and 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.
AI & Machine Learning
CNNLSTMVision Transformer (ViT)SVMRandom ForestXGBoostLightGBMRegression
Frameworks & Data
PyTorchTensorFlowScikit-learnOpenCVYOLOv8Detectron2PandasNumPyMatplotlibNLTKGensim
Programming Languages
PythonJavaCC++SQLR
Cloud & Research Tools
Amazon Web Services (AWS)Microsoft AzureJupyter NotebookGoogle ColabMATLABLaTeXRoboflow