Hi, my name is

Vishal Singh

ML & Data Science Researcher

AI4Science | AI4Health | Data Science | GenAI

Engineering professional with a strong foundation in Machine Learning and Deep Learning, focused on solving real-world problems at the intersection of AI and engineering. Deeply interested in Computational Science, Healthcare, and Finance, with experience building scalable, data-driven solutions using tools like Python, TensorFlow, and modern data pipelines. Passionate about applying advanced algorithms to create impactful, intelligent systems across domains.

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"Code is our instrument; reality, the dataset."

About Me

B.E. in Mechanical Engineering at Thapar Institute of Engineering And Technology. My research interests include:

Scientific Machine Learning Physics Informed Neural Networks Neural Operators ML for Healthcare ML for Finance Optimization Generative AI

I’m a recent Mechanical Engineering graduate with a strong interest and hands-on experience in Machine Learning and Data Science. Currently, I’m working as a Machine Learning Intern at the NMCAD Lab, IISc Bengaluru, where I apply ML techniques to problems in aerospace engineering, biomedical engineering, and optimization.

Skill Sets

Languages

Python, Julia, MATLAB, LaTeX, SQL

Frameworks

PyTorch, TensorFlow, Keras, OpenCV, Streamlit, MLflow, Langchain

Developer Tools

Git, VS Code, Google Colab, Jupyter Notebook, Docker

Libraries

Pandas, NumPy, scikit-learn, Matplotlib, Seaborn, Hugging Face, PySINDy

Softwares

PowerBI, Creo Parametric, Ansys, AutoCAD, Microsoft Office

Recent Highlights

B.E. Graduation

Graduated with a B.E. in Mechanical Engineering from Thapar University

MSML 2025 Paper

Paper accepted at MSML 2025, Naples, Italy

I-4AM 2026 Papers

2 Papers accepted at I-4AM 2026, IISc Bengaluru

Education

Bachelor of Engineering (Mechanical)

2021 – 2025

Thapar Institute of Engineering and Technology, Patiala

CGPA: 9.00 out of 10

🎓 Academic 💼 Extracurricular 📚 Courses
  • Graduated with a Bachelor's degree in Mechanical Engineering
  • 🎖 NCC Airwing Cadet (Nov 2022 – Oct 2023) – Participated in leadership & discipline training under NCC India *(left due to medical reasons)*
  • 🛠 Core Team Member – Society of Mechanical and Industrial Engineers (SOMIE), organized MATLAB Workshop (Feb 2022 – Mar 2024)
  • 🎬 Graphic Designer – Thapar Movie Club (Nov 2022 – Mar 2023), organized movie night for 5000+ students
  • 🏛 Student Member – American Society of Mechanical Engineers (ASME), attended technical workshops (Jan 2022 – Jan 2023)
  • 🤖 Core team member of Mechatronics and Robotics Club
Artificial Intelligence
Advanced Calculus
Linear Algebra
Complex Analysis
Differential Equations
Fourier Transform
Laplace Transform
Manufacturing
Strength of Materials
Theory of Machines
Fluid Mechanics
Optimization Methods
Numerical Analysis
Material Science
Mechatronic Systems
Computer-Aided Design & Analysis
Thermodynamics
Industrial Engineering
Automobile Engineering
Vehicle Dynamics
Machine Design
Graph Theory
Fluid Machines
Heat Transfer
Dynamics & Vibrations
Internet of Things
Machine Learning
Operations Management
Machine Learning
Deep Learning
Computer Vision
Julia for Machine Learning
Julia for Probabilistic Programming
AI for Science and Engineering
Generative AI

Experience

From foundational research to practical applications — a journey through cutting-edge AI, mechanics, and scientific computing.

SciML Intern Apr 2025 – Present

NMCAD Lab, IISc Bengaluru

Research on auxetic metamaterials, fatigue crack growth, and Industry 4.0 applications. Contributed to 3 journal publications and 2 conference papers.

Key Achievements

  • Developed FEM-PINN hybrid solver for fatigue analysis
  • Published 3 journals and 2 conference papers
  • Presented at ICESM 2025

Machine Learning Intern Jan 2025 – Mar 2025

JuliaHub, Bengaluru

  • Enhanced JuliaSimSurrogates for GUI deployment
  • Reduced Surrogatize.jl test time from 3 hrs to 1.5 hrs

Key Achievements

  • Integrated surrogate tuning into cloud workflows
  • Optimized JuliaSimSurrogates UI runtime by 50%

Samsung PRISM Intern Oct 2024 – Apr 2025

Samsung R&D Institute, Remote

Built a video generation framework using diffusion models under Samsung’s Visual Intelligence Team.

Key Achievements

  • Created temporal consistency module for video diffusion
  • Implemented lightweight UNet for faster generation

Undergraduate Research Assistant Feb 2024 – Jun 2025

TIET & IIITDM Kancheepuram

  • Worked in aerospace, biomedical & computational mechanics
  • Explored PINNs, Neural Operators, KANs, PI-KANs
  • Contributing to patents and social-good AI

Key Achievements

  • First-author paper on PINNs for biomedical analysis
  • Trained KANs on multi-physics problems
  • Received internal R&D grant for healthcare AI

MITACS Globalink Research Intern Jun 2024 – Aug 2024

École Polytechnique de Montréal, Canada

Developed physics-based ML models (FNO, DeepONet, PINO) for porous media simulation.

Key Achievements

  • Trained FNO & PINO on 3D Darcy flow datasets
  • Published internal report on permeability prediction
  • Built custom collocation loss function

Deep Learning Intern Jun 2023 – Jun 2024

SMICR Group, IIT Delhi

  • Predicted boundary layer thickness on LPT blades (FNO – 91% accuracy)
  • Built ANN models for aerodynamic coefficients

Key Achievements

  • Implemented solver-free aerodynamic prediction pipeline
  • Integrated CFD data into ML-ready form

Projects

A showcase of applied intelligence, elegant modeling, and creative engineering.

AI Simulation Dashboard

Breast Cancer Prediction Web App

Built a Streamlit app for breast cancer classification (97% accuracy) with logistic regression, radar chart visualization, and modular deployment.

Live App →
Flow Field Predictor

Jupiter Chatbot

Meet Jupiter Chatbot – your friendly, reliable assistant for navigating Jupiter.Money, a website that helps you manage your money. Get accurate answers based on official services, policies, and features.

Live App →
Surrogate Modeling Toolkit

Semi-Autonomous Water Cleaning Robot [Final Year Capstone Project]

Designed a remotely operated river-cleaning robot using ESP32 and BTS7960 for motor control, with CAD modeling and ANSYS simulations to optimize fluid flow and enhance debris collection efficiency.

More Details →
Flow Field Predictor

Fourier Neural Operator for Predicting Flow in Porous Media

Trained a Fourier Neural Operator for predicting flow in porous media, capturing complex spatiotemporal dynamics across varying conditions in fluid simulations.

Video Generation via Diffusion

Apple Stock Prediction using Gaussian Process Regression

Built a Gaussian Process Regression (GPR) time series model to forecast stock prices with uncertainty quantification, incorporating feature engineering and hyperparameter tuning for enhanced accuracy.

More Details →

Research Work

Physics-Informed Neural Network for Solving a One-Dimensional Solid Mechanics Problem

Singh, V., Harursampath, D., Dhawan, S., Sahni, M., Saxena, S., Mallick, R.

Modelling, 2024, 5, 1532–1549

DOI

Characterization and Detection of Structured False Data Injection in Reinforcement Learning-Controlled Artificial Pancreas Systems

Vishal Singh, et al.

Submitted to IEEE Transactions on Industrial Informatics

Under Review

Neural Optimization Machine for Analytical Function Optimization: Application to Auxetic Metamaterial Design

Vishal Singh, et al.

Submitted to Journal of Computational Science

Under Review

Neural Optimization of Anti-Tetrachiral Auxetic Metastructures for Advanced Engineering Applications

Vishal Singh, et al.

Ongoing Manuscript

In Progress

Kolmogorov Arnold Network Based Data-driven Prognostics for Estimating the Remaining Useful Life of Aircraft Engines in Industry 4.0

Vishal Singh, et al.

Ongoing Manuscript

In Progress

Physics Informed Neural Network for Modelling Glucose-Insulin Dynamics for Type 1 Diabetes

Vishal Singh, et al.

AICOMAS 2025, Paris, 17–21 February 2025

Physics-Enhanced Neural Network Approach for Optimizing Re-Entrant Auxetic Structures in Advanced Engineering Applications

Vishal Singh, et al.

MSML 2025, Naples, Italy, August 4–8, 2025

Pseudo-Artificial Pancreas: A Low-Cost AI-Based Insulin Dosage Recommendation System for Type 1 Diabetes

Patent Filed

An Artificial Intelligence-based Design Framework of Optimal Auxetic Metamaterial Structures

Vishal Singh

To be presented at I4AM 2026, IISc Bengaluru; publication forthcoming in Springer

Book Chapter Springer (TBA)

Design and Development of Piezoelectric Auxetic Energy Harvesting Devices for Engineering Applications

Vishal Singh

To be presented at I4AM 2026, IISc Bengaluru; publication forthcoming in Springer

Book Chapter Springer (TBA)

Achievements

Merit Scholarship III (2023–24)

Received INR 1,59,000 for ranking in the top 10% of the Mechanical Engineering Department, TIET.

MITACS Globalink Research Fellowship

Secured a fully funded internship at École Polytechnique de Montréal, Canada (June–August 2024).

Merit Scholarship III (2022–23)

Awarded INR 1,39,000 for placing in the top 10% of Mechanical Engineering Department, TIET.

3rd Rank in Mechanical Engineering Department (2022–23)

Received a certificate and INR 2,000 for academic excellence.

Certifications

Certificate 1
Certificate 2
Certificate 3
Certificate 4
Certificate 5
Certificate 6
Certificate 7
Certificate 8