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Sandeep Chandra Bollepalli, PhD

  • Visiting Scholar

Dr. Sandeep Chandra is a visiting scholar in the Department of Ophthalmology at the University of Pittsburgh. He has been working with a large repository of longitudinal patient data, including multi modal ophthalmic imaging data, demographic data and EHR data to draw inferences related to various clinical outcomes. Previously he is an American Heart Association (AHA) postdoctoral fellow at Massachusetts General Hospital (MGH)/Harvard Medical School (HMS). At MGH, He has worked on continuous streaming data from intensive care unit monitors to reduce the burden of false alarms by fusing information from multiple physiological signals. Prior to his postdoc, Dr Sandeep obtained his masters and PhD degrees from Indian Institute of Technology Hyderabad, India.

Representative Publications

  1. B. S. Chandra, C. S. Sastry and S. Jana, “Robust Heartbeat Detection from Multimodal Data via CNN-based Generalizable Information Fusion”, IEEE Transaction on Biomedical Engineering, 66, no. 3 pp. 710-717, 2019.
  2. B. S. Chandra, S. Rahul, W.T.M. AuYeung, M. K. Bassam, F. M. Merchant, G. Bazoukis, R. Boyer, E. M. Isselbacher, and A. Armoundas. “RealTime Arrhythmia Detection Using Hybrid Convolutional Neural Networks.” Journal of the American Heart Association 10, no. 23: e023222, 2021.
  3. B. S. Chandra, S. Ashish Kumar, A. Naved, M. Bishav, K. Kanchan, G. Abhishek, S. Bhupinder et al. “An Optimized Machine Learning Model Accurately Predicts In-Hospital Outcomes at Admission to a Cardiac Unit.” Diagnostics 12, no. 2: 241, 2022.
  4. B. S. Chandra, S. Rahul, W.T.M. AuYeung, M. K. Bassam, F. M. Merchant, G. Bazoukis, R. Boyer, E. M. Isselbacher, and A. Armoundas. “Real-Time Arrhythmia Detection in Intensive Care Unit Using a Hybrid Convolutional Neural Network Approach.” Circulation 144, no. Suppl 1, A13279-A13279, 2021.
  5. B. S. Chandra, C. S. Sastry, L. Anumandla and S. Jana, “Dictionary-based Monitoring of Premature Ventricular Contractions: An Ultra-Low-Cost Point-of-Care Service”, Artificial intelligence in medicine, 87C, pp. 91-104, 2018.

Research Interests

  • Biomedical Signal processing
  • Multi modal data fusion
  • Artificial Intelligence/Machine learning
  • Convolutional Neural Networks
  • Image processing

Research Grants

American Heart Association (AHA) postdoctoral fellowship grant 2021