Durgesh Samariya

I obtained a Ph.D. in the School of Engineering, IT and Physical Sciences at Federation University, Australia, under Dr. Jiangang Ma and Dr. Sunil Aryal. I am broadly interested in machine learning, data mining, and application of AI/ML/DL in Healthcare.

Recent News

  • December 2023: Completed PhD in Machine Learning from Federation University, Australia.
  • August 2022: Our paper Anomaly Detection in Healthcare has been accepted for publication at the 11th International Conference on Health Information Science 2022 (HIS 2022).
  • July 2022: Our paper sGrid++ : Revising Simple Grid based Density Estimator for Mining Outlying Aspect has been accepted for publication at the 23rd International Conference on Web Information Systems Engineering 2022 (WISE 2022).
  • April 2022: Our paper A New Dimensionality-Unbiased Score for Efficient and Effective Outlying Aspect Mining accepted for the publication by the Data Science and Engineering Journal (Springer).[Paper]
  • January 2022: Launched a computer vision based India Food Detection App. [App]
  • December 2021: Completed Deep Learning Nano Degree by Udacity. [Certificate]
  • November 2021: Completed Coursera course by Deeplearning.ai on Convolutional Neural Networks in TensorFlow. [Certificate]
  • October 2021: A paper accepted for the publication by the Annals of Data Science journal (Springer).
  • October 2021: Gave a talk on “Deploying Maching Learning Model” at CSPIT, Charusat University, Changa.
  • September 2021: Attendend NVIDIA Deep Learning Workshop on Fundamental of Deep Learning.
  • August 2021: Our paper Mining outlying aspects on healthcare data has been accepted for the publication at the 10th International Conference on Health Information Science (HIS 2021). [Paper]
  • January 2021: MLGenerator web app is live. [Website]
  • July 2020: Our paper A new effective and efficient measure for outlying aspect mining has been accepted for publication at the 21st International Conference on Web Information Systems Engineering 2020 (WISE 2020). [Paper]