What's going on?

Upcoming

  • Nothing for now 😔🥹

Past

  • April 2024: I was on a short research visit to Prof. Karoline Wiesner's lab at Potsdam, Germany. [Website]
  • March 2024: Gave a talk at the German Physical Society meeting 2024 in Berlin. [Website]
  • October 2023: Gave a talk at the Conference on Complex Systems (CCS) 2023 in Brazil. [Website]
  • August 2023: Our work was mentioned in the article "The Military’s Recruitment of AI Has Already Begun" published in The Daily Beast. [Article]
  • August 2023: Our paper was featured in Sabine Hossenfelder's science news. [Youtube video]
  • August 2023: Gave a live interview at the BBC newsday radio show. [Website]
  • August 2023: Our Python package for generating conflict avalanches is out now. [Github]
  • August 2023: Our paper entitled, "Discovering Mesoscale for Chains of Conflict" is out in PNAS Nexus. [Paper] [Our dataset] [Press release]
  • July 2023: Attended the Lipari School on Computational Complex and Social Systems 2023 in Lipari. [Website]
  • July 2023: Attended the NetSci conference 2023. Participated as a volunteer and helped in the organization of the conference. [Website]
  • May 2023: Won the ”Significant Milestone Award of the 2023 Exner Lectures in the category of PhD”. [Website]
  • March 2023: Gave a talk at the German Physics Society meeting 2023 in Dresden. [Website]
  • December 2022: Preprint for my work on conflict mesoscales is now available.
  • October 2022: Gave a talk and presented a poster at the Conference on Complex Systems 2022 in Palma de Mallorca. [Website]
  • September 2022: Gave a talk at the German Physics Society meeting 2022 in Regensburg. [Website]
  • July 2022: Attended the Lipari School on Computational Complex and Social Systems 2022 in Lipari. [Website]
  • July 2022: Attended the BIGSSS summer school in computational social science 2022 in Groningen. [Website]
  • August 2021: Started PhD at the Complexity Science Hub Vienna and the department of physics of University of Vienna.

Current Projects

Discovering the mesoscale for chains of conflict & Understanding population waves in sessile organisms

Master Thesis

Engineering Chimera and Novel Technique Based on Machine Learning

Bachelor Thesis

Synchrotron emission from supernovas by charged particles in a non-uniform magnetic field

Other Small Projects

Schelling's Agent based modelling, ML model for crop detection using satellite images, ML model for credit card fraud detection


Publications

     Google Scholar 🔗
    1) Niraj Kushwaha , Edward D Lee, Discovering the mesoscale for chains of conflict, PNAS Nexus, Volume 2, Issue 7, July 2023, pgad228.
         https://doi.org/10.1093/pnasnexus/pgad228

    2) Kushwaha, N., Mendola, N. K., Ghosh, S., Kachhvah, A. D., & Jalan, S. (2021). Machine learning assisted chimera and solitary states in networks. Frontiers in Physics, 147.
         https://doi.org/10.3389/fphy.2021.513969