Ashwani Kumar Computational & ML Engineer
Curriculum Vitae
DR. SC. ETH ZÜRICH

Bridging microscale physics & macroscale engineering with AI.

I develop coupled electro-thermo-mechanical FE models and train ML surrogates to turn hours-long numerical simulations into real-time predictions.

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Who I am

Ashwani Kumar
Ashwani Kumar

With a Doctorate in Mechanical Engineering from ETH Zürich, I develop computational frameworks that bridge classical continuum mechanics with modern physics-informed machine learning (PIML).

My work combines coupled electro-thermo-mechanical FE formulations with ML-enhanced multiscale modeling to simulate advanced processes such as spark plasma sintering from particle interactions to macroscopic components. By training physics-informed surrogates on high-fidelity numerical data, I replace computationally prohibitive multiscale solves with sub-second, real-time predictions.

My foundation includes four years of industrial R&D at Hero MotoCorp conducting structural integrity, fatigue, and vibration engineering.

Microstructure dictates performance. I build the models that make it computable.

Domains I work on

01 // MULTIPHYSICS Coupled Systems

Multiphysics Modelling

Fully coupled electro-thermo-mechanical frameworks that simulate electric current flow, Joule heating, and densification as one unified continuum system rather than three separate solves.

02 // MULTISCALE Micro-to-Macro

Multiscale Direct FE²

Embedding resolved grain-level microstructures directly into component-scale meshes so micro-mechanics inform macro predictions seamlessly.

03 // AI & SURROGATES Fast Inference

Surrogate Models for FEM

Python ML pipelines trained on high-fidelity simulation data that stand in for expensive FE solves, turning hours of compute into seconds in optimization loops.

04 // HPC COMPUTE Scale & Optimization

Computational Engineering & HPC

Structural analysis, fracture mechanics, and optimization at scale — parallelised across HPC clusters with automated meshing and dataset generation pipelines.

Selected projects

AeroGuard TSLM turbofan telemetry and digital twin interface EHL Zurich 2026
7.94 RMSE · -85% vs SOTA

AeroGuard TSLM: Multimodal Time-Series LM for Turbofan Prognostics

Multimodal language model fusing continuous NASA C-MAPSS jet engine telemetry with SmolLM-135M via Prefix Token Fusion. Simultaneously predicts Remaining Useful Life (RUL) and synthesizes 4-stage physically grounded Chain-of-Thought diagnostics.

  • PyTorch
  • SmolLM-135M
  • LoRA
  • NASA C-MAPSS
  • Streamlit
Favon Tender Intelligence AI dashboard and pricing breakdown sprintd Zurich 2026
Instant First Price · Live Demo

Favon · Tender Intelligence: From Tender Package to Transparent First Price

AI-powered tender intelligence platform automating complex RFP parsing, line-item scope extraction, and instant auditable first-price estimations and risk indexing for construction and engineering bidding teams.

  • React
  • Azure Container Apps
  • LLM Extraction
  • Full-Stack
  • GovTech / Fintech
Multiscale SPS simulation result ETH Zurich · JMP 2025
70× faster than full FE

Multiscale modelling of spark plasma sintering with a Direct FE² framework

A framework that embeds microscale powder characteristics directly inside a macroscale electro-thermo-mechanical model, improving accuracy and computational efficiency simultaneously — the two things multiscale methods usually trade against each other.

  • Multiscale
  • Abaqus
  • Python
Multi-material SPS interface simulation ETH Zurich · Materials
<1% deviation vs. experiment

Multi-material spark plasma sintering

A fully coupled electro-thermo-mechanical framework for multi-material SPS, predicting interface behaviour and final geometry against experimental validation.

  • Multiphysics
  • COMSOL
  • FEM
SPS process simulation Simulation · Optimization
2.3% density error

Material parameter identification for SPS

A numerical–experimental method that predicts density accurately across heating rates for copper and nickel, cutting the experimental campaign needed and transferring to other SPS materials.

  • COMSOL
  • Optimisation
  • SPS
Bone tunnel stress simulation Biomechanics · AOTS
40 patient cases

Bone tunnel stress in AC joint reconstruction

FEM plus radiological analysis of patient data, identifying tunnel placements that minimise coracoid fracture risk. Published in Archives of Orthopaedic and Trauma Surgery.

  • Biomechanics
  • FEM
  • Clinical data
Rock fracture permeability simulation Solid Earth 2024
+62% permeability

Stress regime effects on carbonate permeability

Outcrop data, finite-element geomechanics, and flow simulation on the Latemar carbonate buildup, showing that superimposed tectonic stresses raise permeability by up to 62% — stress history matters when predicting flow in fractured reservoirs.

  • Geomechanics
  • Fluid flow
  • C++

Where I have worked

  1. 2021 — 2026

    Doctorate Researcher · Advanced Manufacturing Lab

    ETH ZÜRICH, SWITZERLAND

  2. 2019 — 2021

    Research Assistant · Chair of Statics & Dynamics

    RUHR UNIVERSITY BOCHUM, GERMANY

  3. 2014 — 2018

    Deputy Manager · Chassis Simulation & Analysis

    HERO MOTOCORP LTD, INDIA

Where I have studied

  1. 2021 — 2026

    Dr. sc. Mechanical Engineering

    ETH ZÜRICH, SWITZERLAND

  2. 2019 — 2021

    M.Sc. Computational Engineering

    RUHR UNIVERSITY BOCHUM, GERMANY · DEUTSCHLANDSTIPENDIUM

  3. 2010 — 2014

    B.Tech. Mechanical Engineering

    NIT JALANDHAR, INDIA · GOLD MEDAL & ROLL OF HONOUR (RANK 1)

Tech stack & skills

🧮

Simulation & Modeling

Abaqus Abaqus COMSOL COMSOL ANSYS ANSYS FEniCS FEniCS Kratos Kratos
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Programming & Libraries

Python Python PyTorch C++ C++ Fortran MATLAB MATLAB Java Java
🖥️

Computing & Infrastructure

ETH Euler HPC ETH Euler HPC OpenMP Docker Docker Git Git Linux Linux
🔧

Data Acquisition & Analysis

LMS TestLab ParaView ParaView nCode DesignLife Scikit-Learn
🗣️

Languages

English (C2 Professional) German (B1 Intermediate) Hindi (Native) Rajasthani (Native)
🔬

Technical Competencies

Fatigue & Vibration Analysis Modal Analysis Track Correlation Sensor Data Analysis

Awards & accomplishments

  1. Deutschlandstipendium, 2019

    Awarded for excellence as an international student at Ruhr University Bochum

  2. Achiever Award, 2017–18

    Recognized for exemplary performance at Hero MotoCorp Ltd

  3. Gold Medal (Roll of Honour), 2014

    First rank in B.Tech. Mechanical Engineering, NIT Jalandhar

Beyond the lab & algorithms

When I'm not solving multiphysics equations or training neural surrogates, here is how I recharge and stay active outdoors.

🏔️

Alpine Hiking & Trekking

Living in Switzerland means the Alps are my weekend playground. Peak bagging, high-altitude trail loops, and discovering mountain passes keep my perspective sharp.

🏸

Badminton Rallies

Fast-paced court agility, rapid reflexes, and competitive match play. Badminton is my go-to sport for high-intensity indoor action and friendly competition.

🏃

Distance Running

Pacing along Zurich lake trails and forest paths. Running clears the mind, builds rhythm and endurance, and provides a continuous mental reset.

Let's Connect!

📍 Based in Zürich, Switzerland 🇨🇭 Member, Swiss Engineering STV