Conference Presentations

Harshith Gowrachari (2025)
Digital twin technologies for steelmaking continuous casting tundish.
3rd IACM Digital Twins in Engineering Conference & 1st AICOMAS 2025, Paris, France.
Speaker in MS001 - Scientific Deep Learning Approaches for real-time forecast and calibration of digital models.

Harshith Gowrachari (2024)
ROM for interface-capturing of two-phase flow using neural-network shift augmented manifold transformations.
9th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS 2024), Lisboa, Portugal.
Speaker in MS046 - Cutting-edge model order reduction techniques for CFD.
Talk slides

Harshith Gowrachari (2024)
Non-linear transformation techniques for model reduction of advection-dominated problems.
AJS - Analysis Junior Seminars 2023-2024, Mathematics area, SISSA, Trieste, Italy.
Talk video

Harshith Gowrachari (2024)
Reduced order method for multi-phase system of continuous casting tundish.
Cyber-physical Systems and Digital Twins for the Energy-Intensive Industries, organized by Alessandro Parente, CERTH, Thermi, Thessaloniki, Greece
Poster link

Harshith Gowrachari (2024)
Data-driven reduced order model for advection-dominated problems using neural network shifted proper orthogonal decomposition.
SIAM Conference on Uncertainty Quantification (UQ24), Trieste, Italy.
Poster at SIAM UQ24 Satellite Event - Power of Diversity in UQ.
Poster link

Harshith Gowrachari (2023)
Data-driven reduced order model for advection-dominated problems using neural-network shifted proper orthogonal decomposition.
MORTech 2023 – 6th International Workshop on Model Reduction Techniques, École Normale Supérieure Paris-Saclay, France.
Poster link

Advanced Schools and Workshops

CELLO – Climate Exploration in Lively Liaison with the Ocean (2025)
5th International Conference on Earth System Modelling, Hamburg, Germany, Sept 16-18, 2025

22nd European Finite Element Fair (EFEF 2025)
SISSA, Trieste, Italy, May 23–24, 2025
Informal workshop for high-level discussions on current research in finite element approximation.

Young ERCOFTAC Graduate School: Data-driven model reduction for dynamical systems (2025)
Organized by Peter Schmid, Shervin Bagheri, Taraneh Sayadi, Montestigliano, Italy, April 13-19, 2025
Lectures on model reduction to spectral submanifolds by George Haller, ETH Zurich, Switzerland.

Training School on Machine Learning Methods for Reacting Flows (2024)
Organized by Antonio Attili and Anh Khoa Doan at CERTH, Thermi, Thessaloniki, Greece, Sept 9-13, 2024

Introduction to Quantum Computing in Fluid Dynamics (2024)
Von Karman Institute for Fluid Dynamics, Sint-Genesius-Rode, Belgium, July 8-12, 2024
Lecture series on quantum computing, quantum algorithms, hybrid computing, and quantum machine learning.

Advanced Course on Machine Learning for Fluid Mechanics (2023)
Organized by Steven L. Brunton and Bernd R. Noack at CISM, Udine, Italy, July 10-14, 2023

Stanford FLAME - Future Learning Approaches for Modeling and Engineering AI Workshop (2023)
Online, organized by Matthias Ihme and Wai Tong Chung, Stanford University, Sept 5-15, 2023
Participated in the 10-day ML challenge, tackling generative modelling in fluid dynamics/turbulence.

Summer School on Reduced Order Methods in Computational Fluid Dynamics (2022)
Organized by Gianluigi Rozza, Giovanni Stabile, and Michele Girfoglio at SISSA, Trieste, Italy, July 11–15, 2022