Anand Choudhary
AI Enthusiast
EPFL
IIT Roorkee
Hey there!
I recently graduated with a Master’s degree in Computer Science from EPFL, Switzerland and previously earned my Bachelor’s in Engineering Physics from IIT Roorkee, India. My research interests lie in the fields of Deep Learning and Natural Language Processing with the application areas of AI in Healthcare and AI in Quantum Computing.
Interests
- Deep Learning
- Natural Language Processing
- AI for Healthcare
- AI for Quantum Computing
Education
Master of Science in Computer Science, 2025
EPFL (Swiss Federal Institute of Technology Lausanne)
Bachelor of Technology in Engineering Physics, 2023
IIT Roorkee (Indian Institute of Technology Roorkee)
News
- October 2025: New preprint out: ‘GaLLoP: Gradient-based Sparse Learning on Low-Magnitude Parameters’!
- September 2025: Presented our work at the IEEE International Conference in Quantum Computing and Engineering, Albuquerque, USA, 2025!
- July 2025: ‘ShaNQar: Simulator of Network Quantique’ accepted by the IEEE International Conference in Quantum Computing and Engineering! My first conference paper!
- September 2023: Beginning a new chapter in my life: Masters in Computer Science at EPFL, Switzerland!
- August 2023: ‘Cracking the Curious Case of the Cascade Protocol’ accepted for publication in IEEE Access! My first journal paper!
- November 2022: Presented our work at IEEE ICDM SENTIRE, Orlando, USA, 2022!
- September 2022: ‘Making Sense of Sentiments for Aesthetic Plastic Surgery’ accepted by IEEE ICDM SENTIRE 2022! My first paper!
Experience
Deep Learning Research Intern
- Worked with Dr. Fabien Cardinaux (Sony) and Prof. Dr. Antoine Bosselut (EPFL)
- Developed a novel sparse fine-tuning algorithm named GaLLoP: Gradient-based Sparse Learning on Low-Magnitude Parameters
- Recently submitted a paper for publication!
Project (R&D) Intern
- Worked with Prof. Dr. Ajay Wasan (IIT Roorkee) and Dr. Asvija B. (C-DAC, Bengaluru)
- Converted and extended my project work for my BTech Thesis
- Developed ShaNQar: Simulator of Network Quantique, a modular, customizable, high performance, and programmable photonic quantum network simulator
- Paper on Cracking the Curious Case of the Cascade Protocol got published in IEEE Access!
- Full paper on ShaNQar was published and orally presented at the IEEE International Conference on Quantum Computing and Engineering, Albuquerque, USA, 2025!
Research Intern
- Worked with Prof. Dr. Erik Cambria
- Developed a novel end-to-end system for the sentiment analysis of aesthetic plastic surgery tweets using sentic computing and deep learning
- Paper was published and orally presented at IEEE ICDM SENTIRE, Orlando, USA, 2022!
Deep Learning Engineer Intern
- Developed a robust and efficient deep learning model for active noise cancellation using a platform-aware approach
Publications
(2025).
ShaNQar: Simulator of Network Quantique.
IEEE International Conference on Quantum Computing and Engineering.
(2023).
Cracking the Curious Case of the Cascade Protocol.
IEEE Access.
(2022).
Making Sense of Sentiments for Aesthetic Plastic Surgery.
IEEE ICDM SENTIRE.
Blogs
Artwork
