I am interested in applying Machine Learning to multimodal datasets, and submodular optimisation in machine learning. I also like to work with data setreaming systems and fascinated by functional programming.
Current Research + Roles
PhD: Currently, I am working on Picturing everyday knowledge project. My proposed topic for phd is "Comparative Summarisation of Rich Media Collections".
I am a Casual Research engineer in Computational Media labs, where i develop and maintain continuous and scalable data collection and preprocessing pipelines.
Tutor: I am a tutor to Document Analysis course. I tutored in second semester of 2017 and 2018.
- Machine learning from Multimodal Datasets such as texts, images, graphs
- submodular optimisation in machine learning
- Scalable machine learning
Umanga Bista, Alexander Mathews, Minjeong Shin, Aditya Krishna Menon, Lexing Xie. (2019). Comparative Document Collection via Classification. In Associations of Advancements in Artificial Intilligence (AAAI) [arxiv link] [Code + Dataset] [Supplementary Info]
Aditya Mogadala, Umanga Bista, Lexing Xie, Achim Rettinger. (2018). Knowledge Guided Attention and Inference for Describing Images Containing Unseen Objects. In European Semantic Web Conference [Link]
Basanta Joshi, Umanga Bista, Manoj Ghimire. (2014). Intelligent Clustering Scheme for Log Data Streams. In A. Gelbukh (Ed.), Computational Linguistics and Intelligent Text Processing (CICLING) (Vol. 8404, pp. 454–465). Springer Berlin Heidelberg. doi:10.1007/978-3-642-54903-8_38
Sagar Dhakal, Umanga Bista, Basanta joshi. (2016). Anomaly Detection from System Logs based on Spectral Methods. NasCoIT.
Doctoral SymposiumUmanga Bista. (2019). Comparative summarisation of rich media collections International Conference of Web and Social Media (WSDM) Doctoral Symposium [Link to PDF]
Demo Papers and others
M Shin, D Kim, JH Lee, U Bista, L Xie. (2019). Visualizing Graph Differences from Social Media Streams International Conference of Web and Social Media (WSDM) Demo [Link to PDF]
Umanga Bista, Ashok Basnet, Aayush Shrestha, Sarvagya Pant. (2013). XBRL Implementation for Financial Reporting to the Office of Company Registrar. Undergraduate major report submitted to: Institute of Engineering, Central Campus Pulchowk, Tribhuvan University.
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].