Welcome to My Research Portfolio
About Me
I am a dedicated Ph.D. student specializing in the intersection of machine learning, deep learning, and healthcare. My passion lies in exploring how these advanced technologies can revolutionize healthcare systems, diagnostics, and patient care.
My Research Interests
- Machine Learning in Healthcare: Leveraging machine learning algorithms to improve diagnostic accuracy and treatment effectiveness.
- Deep Learning Applications: Exploring the capabilities of deep neural networks in processing complex medical data.
- Health Analytics: Utilizing data analytics to uncover insights in healthcare data and improve patient outcomes.
Resume
-Click here for my resume
-Click here to download my resume
Publications
- Recognition of atypical behavior in autism diagnosis from video using pose estimation over time: A study on implementing a computer vision-based approach for automatic Autism Spectrum Disorder prediction, utilizing video data of children to distinguish between typical and atypical behaviors through pose estimation, motion pattern analysis, and binary classification, achieving a 72.4% accuracy.. Link to paper
- Paper Title 2: Summary of the paper’s key points. Link to paper
- Paper Title 3: Insights into this particular publication. Link to paper
Feel free to reach out to me for collaborations or discussions related to my research fields.
Thank you for visiting my page. I am always eager to engage in conversations about technology and its impact on healthcare.