Siddharth Bhatia

I am currently a third-year Ph.D. student at the National University of Singapore (NUS) advised by Bryan Hooi and a research intern at Google Research. My research is supported by the Presidents Graduate Fellowship and I was recognized as a Young Researcher by the ACM Heidelberg Laureate Forum. Previously, I received my bachelor’s and master’s degrees in Computer Science from BITS Pilani, and interned at Amazon.

My research in Streaming Anomaly Detection is used for detecting intrusions and denial of service attacks in real-time to minimize the harm caused. One can also detect fake profiles in Social Networks like Twitter, Facebook, Amazon reviews, and Financial Frauds.

I am co-organising the Outlier Detection and Description (ODD) workshop at KDD 2021. Consider submitting your papers!

Select Recent Publications

  1. MIDAS: Microcluster-Based Detector of Anomalies in Edge Streams [500+ stars on GitHub]
    Siddharth Bhatia, Bryan Hooi, Minji Yoon, Kijung Shin, Christos Faloutsos
    AAAI Conference on Artificial Intelligence (AAAI), 2020
    [Paper] [Code] [Overview Video]

  2. MStream: Fast Anomaly Detection in Multi-Aspect Streams [Best Paper Candidate]
    Siddharth Bhatia, Arjit Jain, Pan Li, Ritesh Kumar, Bryan Hooi
    The Web Conference (WWW), 2021
    [Paper] [Code] [Video]

  3. ExGAN: Adversarial Generation of Extreme Samples
    Siddharth Bhatia*, Arjit Jain*, Bryan Hooi [ * denotes equal contribution]
    AAAI Conference on Artificial Intelligence (AAAI), 2021
    [Paper] [Code]

News

May, 2021 Interning with Google Research during the summer.
May, 2021 Invited to give a seminar at MIT.
Mar, 2021 Invited to give seminars at Alan Turing Institute and NYU.
Feb, 2021 KDnuggets covered ExGAN: Adversarial Generation of Extreme Samples.
Jan, 2021 MStream was accepted in The Web Conference (WWW) 2021. Code on Github.
Dec, 2020 ExGAN was accepted in AAAI 2021. Code on Github.
Dec, 2020 AugSplicing was accepted in AAAI 2021. Code on Github.
Oct, 2020 Invited to speak at the Data+AI Summit hosted by Databricks.
Oct, 2020 AIhub covered ExGAN: Adversarial Generation of Extreme Samples.
Aug, 2020 Serving as the Publications Chair for SOCC 2020.
Aug, 2020 Honoured to receive the Research Achievement Award at NUS.
Aug, 2020 Invited to speak at the DataScience SG meetup and RSA Conference.
Jul, 2020 MIDAS wins popular choice award at Microsoft Azure Hackathon.
Jun, 2020 Invited to speak at the Knowledge Graphs Meetup.
Jun, 2020 Interning with AI Labs at Amazon Web Services during the summer.
Jun, 2020 Invited to speak at the Data Science Congress.
May, 2020 Interviewed by AIhub.
Apr, 2020 Zak Jost from Amazon invited me to present my research. Recording can be viewed on Youtube.
Apr, 2020 MIDAS was featured as a top story on KDnuggets.
Mar, 2020 MIDAS was covered by Towards Data Science, Towards AI, and ACM TechNews.
Nov, 2019 MIDAS was accepted in AAAI 2020. It detects microcluster anomalies in dynamic graphs. Code on Github.

Contact Information

E-mail siddharth@comp.nus.edu.sg
Phone +65 8266 9044
Address School of Computing
National University of Singapore
13 Computing Drive
Singapore 117417