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Mahendra Paipuri

Research Engineer

INRIA

Biography

I am a Research Engineer in AVALON team at Laboratoire de l’Informatique du Parallélisme (LIP) in INRIA, Lyon working on SKA Telescope project. My research is focused broadly on the numerical solution of partial differential equations with emphasis on discontinuous Galerkin methods, high-order numerical schemes, hyperbolic conservation equations, traffic flow modeling, data analysis and high performance computing. I wrote my thesis at Departament of Civil Engineering, Architecture and Georesources (DECivil) at Instituto Superior Técnico in Lisbon and Laboratori de Càlcul Numèric (LaCaN) at the Universitat Politècnica de Catalunya in Barcelona.

Interests

  • Numerical Methods
  • Galerkin Approximations
  • High-order Schemes
  • Multi-physics Problems
  • Hyperbolic Systems of Conservation Laws
  • Scientific Computing
  • Traffic Flow Theory
  • High Performance Computing
  • Data Analysis

Education

  • PhD in Computational Engineering, 2018

    Instituto Superior Técnico, Lisbon and Universitat Politècnica de Catalunya, Barcelona

  • MSc in Computational Mechanics, 2014

    Universitat Politècnica de Catalunya, Barcelona and Swansea University, Swansea

  • BTech in Mechanical Engineering, 2012

    National Institute of Technology, Tiruchirappalli

Experience

 
 
 
 
 

Research Engineer

INRIA

Jan 2021 – Present Lyon
Part of Square Kilometer Array (SKA) telescope project. Main activities include benchmarking the HPC codes that will be depolyed on the Science Data Processor (SDP) of SKA project.
 
 
 
 
 

Post Doctoral Researcher

Université Gustave Eiffel

Nov 2017 – Dec 2020 Lyon
Part of the ERC project Multiscale and Multimodal Traffic Modelling Approach for Sustainable Management of Urban Mobility (MAGnUM). Primary resposnbility is to develop the multi-modal macroscopic traffic simulators based on Macroscopic Fundamental Diagram (MFD).
 
 
 
 
 

Doctoral Researcher

Instituto Superior Técnico and Universitat Politècnica de Catalunya

Oct 2017 – Sep 2014 Lisbon and Barcelona
Primary contributions include proposing a novel coupling formulation between Continuous (CG) and Hybridizable discontinuous Galerkin (HDG) methods for thermo-fluid multi-physics problem. Developed an in-house arbitrary high-order solver in FORTRAN.
 
 
 
 
 

Research Intern

Compass Ingeniería y Sistemas

Jan 2013 – Jul 2013 Barcelona
The primary objective of the internship was to validate the in-house software SeaFEM, which is based on Finite Element Methods (FEM) to analyze the waves and currents in off-shore installations. The validation was done by comparing the Response Amplitude Operators (RAO) in the pitch motion of an off-shore wind turbine with the available data.
 
 
 
 
 

Research Assistant

Universität Stuttgart

May 2011 – Jul 2011 Stuttgart
A sensitivity analysis of the design variables of the Inertial Electrostatic Confinement (IEC) reactor was performed using metaheuristic optimization technique Simulated Annealing (SA).

Research

Recent Publications

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Flow exchanges in multi-trip MFD-based systems: A validation study versus microscopic simulation

The paper presents the first validation study using multi-reservoir MFD based simulation on a real network using real OD data.

Empirical Validation of Bimodal MFD Models

The paper validates the MFD-based framework using empirical data from Zurich city network.

Estimating MFDs, trip lengths and path flow distributions in a multi-region setting using mobile phone data

The paper presents calibration techniques for MFD-based model using massive Location Based Service (LBS) mobile data.

Numerical simulation of GFRP models with high-order continuous and hybridizable discontinuous Galerkin methods and experimental validation

The paper validates the proposed high-order coupled CG-HDG scheme using the experimental data of tubular section of GFRP materials.

Calibration and validation of multi-reservoir MFD models: A case study in Lyon

The paper presents the first validation study using multi-reservoir MFD based simulation on a real network using real OD data.

Contact

  • 46 Allée d’Italie
    69007 Lyon