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Publications

Journal papers

  1. R. T. Bhowmik, Y. S. Jung, J. Aguilera, M. Prunicki, K. Nadeau, “A Multi-Modal Wildfire Prediction and Personalized Early-Warning System Based on a Novel Machine Learning Framework,” Journal of Environmental Management, 341, 117908, 2023. (Link)
  2. R. T. Bhowmik, C. Kandathil, S. P. Most, “Automating the Standardized Cosmesis and Health Nasal Outcomes Survey (SCHNOS) Classification with Convolutional Neural Networks,” Facial Plastic Surgery & Aesthetic Medicine, PMID: 36749153, 2023. (Link)
  3. R. T. Bhowmik, S. P. Most, “A Personalized Respiratory Disease Exacerbation Prediction Technique Based on a Novel Spatio-Temporal Machine Learning Architecture and Local Environmental Sensor Networks,” Electronics, 11 (16), 2562, 2022. (Link)
  4. R. Parthasarathy, R. T. Bhowmik, “Quantum Optical Convolutional Neural Network: A Novel Image Recognition Framework for Quantum Computing,” IEEE Access, 9, 103337, 2021. (Link)

Preprints

  1. R. T. Bhowmik, “A Multi-Modal Wildfire Prediction and Personalized Early-Warning System Based on a Novel Machine Learning Framework,” arXiv:2208.09079, 2022. (Link)
  2. R. T. Bhowmik, “A Multi-Modal Respiratory Disease Exacerbation Prediction Technique Based on a Spatio-Temporal Machine Learning Architecture,” arXiv:2103.03086, 2021. (Link)
  3. R. Parthasarathy, R. T. Bhowmik, “Quantum Optical Convolutional Neural Network: A Novel Image Recognition Framework for Quantum Computing,” arXiv:2012.10812, 2020. (Link)

Conferences

  1. R. T. Bhowmik, “A Multi-Modal Wildfire Prediction and Personalized Early-Warning System Based on a Novel Machine Learning Framework,” Stanford BigEarth Hackathon, 2022.