CV

Click here to download my full resume (PDF)

SUMMARY

Passionate about machine learning and materials science, focusing on classical and quantum machine learning algorithms to accelerate the discovery of novel materials. Committed to advancing computational methods for impactful innovations in material design.

Education

• Ph.D in Mechanical Engineering, Arizona State University - Tempe, AZ, USA, 2026 (expected)
• M.S. in Aerospace Engineering, Arizona State University - Tempe, AZ, USA, 2023
• B.S. in Mechanical Engineering, Heritage Institute of Technology - Kolkata, India, 2021

Work Experience

• Graduate Research Associate
  • August, 2023 - Present
  • Arizona State University - Tempe, AZ, USA

  • Conducting interdisciplinary research at the intersection of machine learning, quantum computing, and material discovery to develop computational tools for designing high-entropy materials. My work involves applying quantum algorithms, neural networks, and generative AI approaches to enhance the screening of new materials, supporting advancements in material discovery.

    Key Focus Areas:

    • Classical Machine Learning for Material Discovery
    • Quantum Computing
    • High-Entropy Alloy (HEA) Design using AI
    • Computational Materials Science & Simulation
  • Supervisor: Dr. Houlong Zhuang
• Graduate Service Assistant
  • August, 2022 - May, 2023
  • Arizona State University - Tempe, AZ, USA
  • Grader for MAE-215 Introduction to Programming in MATLAB
    • Grade Assignment and Quizzes for the course.
    • Build solutions for the quizzes and assignment assigned to the students
• Graduate Service Assistant
  • January, 2022 - January, 2023
  • Arizona State University
  • Working as a Teaching Aide/grader for MAE-242 Introduction to Fluid Mechanics.
    • Take recitation classes, where I solve problems based on the concepts taught in the lecture.
    • Conduct office hours for students to help with their doubt.
    • Grade assignments and exam for the course.

Skills

• Programming Languages
  • Python
  • Matlab
  • Fortran
• Simulation Package
  • Vienna Ab-Initio Simulation Package (VASP)
• Frameworks & Libraries
  • PyTorch
  • TensorFlow
  • Scikit-learn
  • Keras
  • Qiskit
• Data Analysis Libraries
  • Pandas
  • NumPy
• Design/ Visualization Software
  • Vesta
  • Solid Works
  • Creo
  • ANSYS
  • Abaqus

Publications

Kolmogorov–Arnold neural networks for high-entropy alloys design

Yagnik Bandyopadhyay et al 2025 Modelling Simul. Mater. Sci. Eng. 33 035005

Conferences

• MRS Fall Meeting & Exhibit (2024)