Hello! I am a Ph.D. student in computer science at Old Dominion University. I am working with Dr. Jing He (Bioinformatics and Parallel Computing Lab). My primary research interest lies in Deep Learning with a focus on Computer Vision related problems. I am working on Leveraging advanced Deep Learning approaches to improve blood glucose prediction task based on the time-series continuous glucose monitoring data of diabetic patients. I am also member of Computer Science Graduate Society at ODU.
You can contact me at: oshar002@odu.edu

Research Interests: Deep Learning, Computer Vision, Time-series Forecasting, Natural Language Processing

You can look at my resume here.

Research Projects

• Glucose Prediction using Continuous Glucose Monitoring data(Ongoing)
  • Exploration of the state-of-the-art deep learning models on blood glucose prediction of diabetes patients and analysis the challenges of recent approaches.

• Research on Deep Learning approaches to address class imbalance on tabular dataset.

  • Explore and study the state-of-the-art deep learning models related to class imbalance and analyze the challenges of applying such models to tabular datasets.
• Project on Feature Extraction to analyze lung symmetry for pulmonary abnormality detection.

  • Analysis and comparison of image processing and deep learning models of feature extraction and matching to detect similarities within both lungs for diseases. Project on cancer classification on nuclei features from histopathological images.

  • Extracting features of the nuclei from the TCGA dataset and analyzing the performance of different machine learning algorithms on the dataset

• Machine Learning Project December 2020
  • Performance analysis of several machine learning approaches after preprocessing and feature engineering of credit card fraud dataset and using performance matrices to observe the benchmark of machine learning models.