Supreeth Prajwal Shashikumar     Research     Publications     Teaching


  • Shamim Nemati, Gari D. Clifford, and Supreeth P. Shashikumar System for Predicting or Identifying Patient Deterioration or Improvement, United States provisional patent application #62/534,322, filed July 19, 2017

  • Shamim Nemati, Supreeth P. Shashikumar, Gari D. Clifford, and Amit Shah. Method for Detecting Abnormal Cardiac Activity, United States provisional patent application #62/437,457, filed December 21, 2016

Journals (Published/Accepted)

  • Erik P. Reinertsen, Supreeth P. Shashikumar, et al., Multiscale Network Dynamics between Heart Rate and Locomotor Activity Are Altered in Schizophrenia, In Physiological Measurement, September 2018 [Link]

  • Supreeth P. Shashikumar, Qiao Li, Gari D Clifford, and Shamim Nemati. Multiscale Network Representation of Physiological Time Series for Early Prediction of Sepsis, In Physiological Measurement, November 2017 [Link] [Physiological Measurement Highlights of 2017]

  • Supreeth P. Shashikumar, Matthew D. Stanley, Ismail Sadiq, Andre Holder, Gari D Clifford, and Shamim Nemati. Early Sepsis Detection in Critical Care patients using Multiscale Blood Pressure and Heart Rate Dynamics, In Journal of Electrocardiology, 2017 [Link]

Journals (Submitted/In preparation)

  • Supreeth P. Shashikumar, Shamim Nemati, et al. End-to-End Development and Deployment of a Recurrent Neural Survival Model for Early Prediction of Sepsis in the ICU, In preparation

  • Supreeth P. Shashikumar, Cheng Zhang, et al., Machine Learning for Time-Sensitive Outcome Prediction after Severe Traumatic Brain Injury, In preparation

  • Qiao Li, Qichen Li, Supreeth P. Shashikumar, et al., Deep Learning in the Cross-Time-Frequency Domain for Sleep Staging from a Single Lead Electrocardiogram, Under peer review

Conferences (Published/Accepted)

  • Supreeth P. Shashikumar, Amit J. Shah, Gari D. Clifford, and Shamim Nemati. Detection of Paroxysmal Atrial Fibrillation using Attention based Bidirectional Recurrent Neural Networks, In 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2018), London, UK, 2018 [Link] [Pre-print]

  • Vidyashankar B.L, Supreeth P. Shashikumar, et al., DeepAISE on FHIR – An Interoperable Real-Time Predictive Analytic Platform for Early Prediction of Sepsis, Accepted for presentation at the American Medical Informatics Association Symposium 2018 – FHIR Applications Showcase track

  • Joel Henry, Dennis Lynch, Jeff Mals, Supreeth P. Shashikumar, Andre holder, Ashish Sharma and Shamim Nemati, A FHIR-Enabled Streaming Sepsis Prediction System for ICUs, In 40th International Conference of the IEEE Engineering in Medicine and Biology Society 2018 (EMBS 2018), Honolulu, Hawaii, 2018

  • Supreeth P. Shashikumar, Amit J. Shah, Qiao Li, Gari D Clifford, and Shamim Nemati. A Deep Learning Approach to Monitoring and Detecting Atrial Fibrillation using Wearable Technology, In Biomedical & Health Informatics, 2017 IEEE International Conference on [Link]

  • Biswajit D. Sarma, Supreeth P. Shashikumar, and S.R.M. Prasanna. Improved Vowel Onset and Offset points Detection using Bessel Features, In Signal Processing and Communications (SPCOM), 2014 International Conference on [Link]

Conferences (Submitted/In preparation)

  • Russell Jeter, Li-Wei Lehman, Supreeth P. Shashikumar,, Simultaneous Learning of Reward and Reinforcement Learning Policy Using Counterfactual Reasoning and Bayesian Optimization, Submitted to AAAI 2018