Konduri Aditya

Konduri Aditya

Assistant Professor & Arcot Ramanchandran Young Investigator

FLAME Lab

Department of Computational and Data Sciences

Indian Institute of Science

I work as an Assistant Professor in the Department of Computational and Data Sciences, Indian Institute of Science, Bengaluru, India. Prior to this, I was a Postdoctoral Researcher at the Combustion Research Facility, Sandia National Laboratories, Livermore, CA, United States.

My current research includes large scale simulations of turbulent combustion relevant to gas turbine and scramjet engines, design of machine learning methods for anomalous/extreme event detection in scientific phenomena, and development of scalable asynchronous numerical methods and simulation algorithms for solving partial differential equations on massively parallel computing systems.

Our lab has three open research positions including Ph.D. and M.Tech. (Research). We welcome applications from highly motivated individuals. Interested candidates can apply through IISc admissions conducted twice a year. We look forward to receiving your application!

Interests

  • Fluid Mechanics
  • Combustion
  • Numerical Methods
  • High Performance Computing
  • Data Science
  • Scientific Machine Learning

Education

  • PhD in Aerospace Engineering

    Texas A&M University, College Station

  • MS in Aerospace Engineering

    Georgia Institute of Technology

  • MS (Research) in Engineering Mechanics

    Jawaharlal Nehru Centre for Advances Scientific Research

  • BE in Mechanical Engineering

    Osmania University

Awards & Honors

  • Arcot Ramachandran Young Investigator, Indian Institute of Science, India 2022
  • Best Paper Honorable Mention Award, IEEE Pacific Visualization 2020
  • INCITE Award, DOE Leadership Computing (role: co-investigator) 2017, 2018, 2019, 2020
  • Outstanding Doctoral Dissertation Award, Department of Aerospace Engineering, TAMU 2016
  • Best Poster Award, Society of Engineering Sciences, 2015
  • Best Graduate Student Presentation Award, American Physical Society meeting - Texas section 2014
  • Scholar - Extreme scale computing, Argonne National Laboratory 2014
  • Second runner up, Immersive visualization competition, Texas A&M University and Nvidia 2013
  • Aerospace graduate student fellow, Texas A&M University 2012
  • DST - ICTP fellowship by Dept. of Science and Technology, Government of India and International Centre for Theoretical Physics, Italy 2008
  • JNCASR scholarship by Dept. of Science and Technology, Government of India 2007-09
  • Matrusri Education Society Gold Medal for securing first rank in the department and seventh rank in B.E. degree, Osmania University 2007
  • Merit certificate, State Mathematical Olympiad, India 2001

Research

*

A research overview

Asynchronous computing

Development of an asynchronous computing method to solve partial differential equations on massively parallel supercomputers

Dimensionality reduction

Investigation of a co-kurtosis based dimensionality reduction method for chemical kinetics

Extreme event detection

Development of machine learning methods for detection of anomalous or extreme events in scientific phenomena

Gas turbine engine combustion

Investigation of turbulent combustion phenomena in stationary gas turbine engines using large scale direct numerical simulations

Scramjet combustion

Investigation of turbulent combustion phenomena in scramjet engines using large scale direct numerical simulations

Recent Publications

Quickly discover relevant content by filtering publications.
Anirudh Jonnalagadda, Shubham Kulkarni, Akash Rodhiya, Hemanth Kolla, Konduri Aditya (2023). A co-kurtosis based dimensionality reduction method for combustion datasets. Combustion and Flame.

DOI URL

Komal Kumari, Emmet Cleary, Swapnil Desai, Diego A. Donzis, Jacqueline H. Chen, Konduri Aditya (2023). Evaluation of finite difference based asynchronous partial differential equations solver for reacting flows. Journal of Computational Physics.

DOI URL

Shubham K. Goswami, Vinod J. Matthew, Konduri Aditya (2023). Implementation of low-storage Runge-Kutta time integration schemes in scalable asynchronous partial differential equation solvers. Journal of Computational Physics.

DOI URL

Tyson Neuroth, Martin Rieth, Konduri Aditya, Myoungkyu Lee, Jacqueline H Chen, Kwan-Liu Ma (2023). Level Set Restricted Voronoi Tessellation for Large scale Spatial Statistical Analysis. IEEE Transactions on Visualization and Computer Graphics.

DOI

Shubham K. Goswami, Konduri Aditya (2022). An asynchronous discontinuous-Galerkin method for solving PDEs at extreme scales. AIAA AVIATION 2022 Forum.

DOI URL

See all publications

Contact