I'm Umanga Bista , originally from Kathmandu and currently a PhD candidate at the Computational media lab, Australian National University .

My PhD supevisors are Dr. Lexing Xie , Dr. Aditya Menon and Dr. Lizhen Qu.

I am interested in knowledge graphs and deep learning research. I also like to work with data setreaming systems and fascinated by functional programming.

Current Research

Currently, I am working on Picturing everyday knowledge project.

Research Interests

  • Knowledge Graphs
  • Deep Learning
  • Scalable machine learning


I was working as Research Engineer at LogPoint [Oct/2013-Feb/2017].

I was a computer engineering student at Institute of Engineering, Central Campus Pulchowk, Lalitpur, Nepal [Nov/2009-Sep/2013].

Previously, I have worked on project for financial data representation and mining using XBRL with Office of Company Registrar, Nepal [Oct/2012-Sep/2013].

Conference Papers
  1. Joshi, B., Bista, U., & Ghimire, M. (2014). Intelligent Clustering Scheme for Log Data Streams. In A. Gelbukh (Ed.), Computational Linguistics and Intelligent Text Processing (Vol. 8404, pp. 454–465). Springer Berlin Heidelberg. doi:10.1007/978-3-642-54903-8_38
  2. Dhakal, S., Bista, U., & Joshi, B. (2016). Anomaly Detection from System Logs based on Spectral Methods. NasCoIT.
Techical Reports
  1. Bista, U., Basnet, A., Shrestha, A., & Pant, S. (2013). XBRL Implementation for Financial Reporting to the Office of Company Registrar. Pulchowk, Lalitpur, Nepal: Institute of Engineering, Central Campus Pulchowk, Tribhuvan University. Retrieved from https://www.dropbox.com/s/04kyzyx5hsemsth/major%20report%20XBRL%20Implementation.pdf

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