M.Tech. Priyanjana Pal

Short Bio

Priyanjana Pal  received her B.Tech. (Bachelor of Technology) in Electronics and Communication Engineering from the National Institute of Technology, Agartala, in 2018.  She completed her M.Tech. (Master of Technology) in Electrical Engineering (Microelectronics and VLSI Design) from the Indian Institute of Technology, Gandhinagar, Gujarat, India, in 2020. In her Master's thesis, she worked on the 3D-TCAD-based design and optimization of high voltage (HV) drain-extended FinFET transistors for analog SoC applications with  Professor Nihar R. Mohapatra. Before joining as a Ph.D. researcher at KIT, She worked for almost three years in the Device Enablement team in Global Foundries, Bangalore as a Senior ESD device, circuit design,  and compact modeling engineer. In 2022, she joined the CDNC group of Prof. Mehdi Tahoori at KIT University, Karlsruhe, Germany. Her current research interests are in analog circuit design with CAD tools, testing the reliability of printed circuits, and design of ML-trained printed and flexible neuromorphic circuits.

Publications

Conferences
Priyanjana Pal♣, Haibin Zhao♣, Maha Shatta♣, Michael Hefenbrock, Sina Bakhtavari Mamaghani, Sani Nassif, Michael Beigl, Mehdi B. Tahoori
Analog Printed Spiking Neuromorphic Circuit
in 27th Design, Automation and Test in Europe Conference (DATE'24), 2024.
Giorgos Armeniakos, Paula L Duarte, Priyanjana Pal, Georgios Zervakis, Mehdi B Tahoori, Dimitrios Soudris
On-sensor Printed Machine Learning Classification via Bespoke ADC and Decision Tree Co-Design
in 27th Design, Automation and Test in Europe Conference (DATE'24), 2024.
Haibin Zhao♣; Priyanjana Pal♣, Michael Hefenbrock, Michael Beigl, Mehdi B Tahoori
Towards Temporal Information Processing – Printed Neuromorphic Circuits with Learnable Filters
in 18th ACM International Symposium on Nanoscale Architectures (NANOARCH 2023), Dresden, Deutschland, 2023.
Haibin Zhao♣; Priyanjana Pal♣; Michael Hefenbrock; Michael Beigl; Mehdi B. Tahoori
Power-Aware Training for Energy-Efficient Printed Neuromorphic Circuits
in IEEE/ACM International Conference on Computer Aided Design (ICCAD), 2023.
Sina Bakhtavari Mamaghani, Priyanjana Pal, Mehdi Baradaran Tahoori
A Dynamic Testing Scheme for Resistive-Based Computation-In-Memory Architectures
in 29th Asia and South Pacific Design Automation Conference, ASP-DAC, 2024.