👩‍🔬 About Me

I am a Ph.D. candidate at IIT Roorkee, working on the application of Scientific Machine Learning in circuits and devices.
My primary focus is on Physics-Based Machine Learning and its applications in Electronic Design Automation (EDA).

🎓 Education

• Ph.D. (2023 – Present)
  Electronics and Communication Engineering
  IIT Roorkee
  Research: Scientific Machine Learning in Electronic Design Automation

• M.Sc. Electronic Science (2020)
  University of Calcutta — First Class

• B.Sc. Electronic Science (2018)
  University of Calcutta — First Class

🔬 Research Experience

• Ph.D. Student, IIT Roorkee (2023 – Present)

  • Application of Scientific ML in EDA
    
  • Co-authored research on fast metalearning algorithms for uncertainty quantification of graphene interconnects.
    

• Project Associate, IIT Madras (2021 – 2023)

  • Worked at CPPICS Lab, Dept. of Electrical Engineering
    
  • Focus: Integrated photonic devices, fabrication processes, and device characterization.
    

📚 Teaching Experience

• ECE-101: Basics of Electronics (Teaching Assistant)
  
• ECN-205: Analog Electronics (Teaching Assistant)
  
• ECN-580: Introduction to High-Frequency Analog Integrated Circuits (Teaching Assistant)
  

🛠 Skills

• Programming & Tools: MATLAB (Proficient), Python, C, C++
  
• EDA Tools: HSPICE (Beginner), Cadence Virtuoso (Beginner)
  

📝 Publication

• A. K. Jakhar, D. Basu, Km. Dimple, S. Guglani, A. Dasgupta, Sourajeet Roy
  A Fast Metalearning Algorithm for Neural Network Enabled Uncertainty Quantification of Graphene Based Interconnects with Passive Shielding
  IEEE Symposium on EMC, SI & PI (EMC), Phoenix, AZ, USA, August 2024
  

📍 Kasturba Bhawan, IIT Roorkee
📞 +91-9674410329
📧 dyuti_b@ece.iitr.ac.in | dyutibasu1709@gmail.com