M.Tech. Priyanjana Pal
- PhD Student
- room: A3.17
- phone: +49 721 608 44859
- fax: +49 721 608 43962
- priyanjana pal ∂does-not-exist.kit edu
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
| Journals | |
|---|---|
| Haibin Zhao; Priyanjana Pal; Michael Hefenbrock; Yuhong Wang; Michael Beigl; Mehdi B. Tahoori Neural Evolutionary Architecture Search for Compact Printed Analog Neuromorphic Circuits IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (Volume 44, Issue 7), DOI, PDF, Jul 2025. |
| Conferences | |
|---|---|
| Tara Gheshlaghi, Haibin Zhao, Priyanjana Pal, Michael Hefenbrock, Michael Beigl, Mehdi B. Tahoori Power-Constrained Printed Neuromorphic Hardware Training in 62nd ACM/IEEE Design Automation Conference (DAC), DOI, PDF, Jun 2025. | |
| Tara Gheshlaghi, Priyanjana Pal, Haibin Zhao, Michael Hefenbrock, Michael Beigl, Mehdi B. Tahoori ADAPT-pNC: Mitigating Device Variability and Sensor Noise in Printed Neuromorphic Circuits with SO Adaptive Learnable Filters in Design, Automation & Test in Europe Conference (DATE), DOI, PDF, Mar 2025. | |
| Brojogopal Sapui , Mehdi B. Tahoori Side-channel Collision Attacks on Hyper-Dimensional Computing based on Emerging Resistive Memories in ASPDAC '25: Proceedings of the 30th Asia and South Pacific Design Automation Conference, DOI, PDF, Mar 2025. | |
| Priyanjana Pal, Haibin Zhao, Tara Gheshlaghi, Michael Hefenbrock, Michael Beigl, Mehdi B. Tahoori Neural Architecture Search for Highly Bespoke Robust Printed Neuromorphic Circuits ICCAD '24: Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design, DOI, PDF, Oct 2024. | |
| Priyanjana Pal; Florentia Afentaki; Haibin Zhao; Gurol Saglam; Michael Hefenbrock; Georgios Zervakis Fault Sensitivity Analysis of Printed Bespoke Multilayer Perceptron Classifiers in IEEE European Test Symposium (ETS), DOI, PDF, May 2024. | |
| Priyanjana Pal, Haibin Zhao, Maha Shatta, Michael Hefenbrock, Sina Bakhtavari Mamaghani, Sani R. Nassif, Michael Beigl, Mehdi B. Tahoori Analog Printed Spiking Neuromorphic Circuit in 27th Design, Automation and Test in Europe Conference (DATE'24), DOI, PDF, Mar 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), DOI, PDF, Mar 2024. | |
| Brojogopal Sapui, Mehdi B. Tahoori Power Side-Channel Analysis and Mitigation for Neural Network Accelerators based on Memristive Crossbars in 29th Asia and South Pacific Design Automation Conference (ASP-DAC), DOI, PDF, Jan 2024. | |
| 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, DOI, PDF, Jan 2024. | |
| Haibin Zhao, Priyanjana Pal, Michael Hefenbrock, Michael Beigl, Mehdi Baradaran Tahoori Towards Temporal Information Processing – Printed Neuromorphic Circuits with Learnable Filters in 18th ACM International Symposium on Nanoscale Architectures (NANOARCH 2023), Dresden, Deutschland, DOI, PDF, Dec 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), DOI, PDF, Oct 2023. | |
| Brojogopal Sapui; Jonas Krautter; Mahta Mayahinia; Atousa Jafari; Dennis Gnad; Sergej Meschkov Power Side-Channel Attacks and Countermeasures on Computation-in-Memory Architectures and Technologies in IEEE European Test Symposium (ETS), DOI, PDF, May 2023. (Best paper nomination) | |
| Haibin Zhao; Brojogopal Sapui; Michael Hefenbrock; Zhidong Yang; Michael Beigl; Mehdi B. Tahoori Highly-Bespoke Robust Printed Neuromorphic Circuits in Design, Automation and Test in Europe Conference & Exhibition (DATE), DOI, PDF, Apr 2023. |
| arXiv | |
|---|---|
| Mehdi B. Tahoori, Emre Ozer, Georgios Zervakis, Konstantinos Balaskas, Priyanjana Pal Computing with Printed and Flexible Electronics in arXiv, DOI, PDF, Apr 2025. | |
| 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 arXiv, DOI, PDF, Dec 2023. |