Ph.D. - Electronics & Communication Engineering (Microelectronics & VLSI), IIT Roorkee (2025)
M.Tech - Electronics & Communication / Digital Communication (2015)
B.Tech - Electronics & Communication (2013)
Post Doctoral (January 2026-July 2026): IISC Bengaluru under Prof. Mayank Shrivastava, To predict reliability failure modes in power MOSFETs by developing a physics-informed graph neural network (PIGNN) as TCAD surrogate.
Teaching: Assistant Professor | Swami Keshvanand Institute of Technology Management & Gramothan Jaipur, Rajasthan 302017, INDIA (August 2016 - December 2017)
• Teaching undergraduate courses such as Analog Electronics, Digital Electronics, Network Analysis and Synthesis and Communication Systems.
• Conducted the undergraduate labs like Digital Electronics Lab, Basic Electronics Lab, and Analog Circuit Lab.
Machine learning for high-speed on-chip interconnects; graphene & carbon-based interconnects (MLGNR, MWCNT); VLSI interconnect modeling and optimization; uncertainty quantification and ML-based surrogate modeling; physics-informed AI for semiconductor device and EDA applications.
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Surila Guglani, Asha Kumari Jakhar*, Avirup Dasgupta, and Sourajeet Roy, "Combining Prior Knowledge with Transfer Learning (PKID-TL) for Fast Neural Network Enabled Uncertainty Quantification of Graphene On-Chip Interconnects", in IEEE Transactions on Components, Packaging and Manufacturing Technology, IEEE, 2024. (“*” :- Equally contributed.)
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Surila Guglani, Asha Kumari Jakhar, Km Dimple, Ankit Sukhija, Avirup Dasgupta, Rohit Sharma, Brajesh Kumar Kaushik, and Sourajeet Roy, "Artificial Neural Networks With Fast Transfer Learning for Statistical Signal Integrity Analysis of MWCNT and MLGNR Interconnect Networks", in IEEE Transactions on Electromagnetic Compatibility, IEEE, 2024
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A. K. Jakhar, R. Sharma, A. Dasgupta and S. Roy, "A Neural Network Guided Approach for Repeater Optimization in Multilayer Graphene On-Chip Interconnect Networks Including TSVs," in IEEE Journal on Multiscale and Multiphysics Computational Techniques, doi: 10.1109/JMMCT.2025.3625423.2025
Conferences
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Asha Kumari Jakhar, Dyuti Basu, Km Dimple, Surila Guglani, Avirup Dasgupta, and Sourajeet Roy, "A Fast Metalearning Algorithm for Neural Network Enabled Uncertainty Quantification of Graphene Based Interconnects with Passive Shielding", in EMC 2024 / IEEE Symposium on EMC, SI & PI in Phoenix, AZ, IEEE, 2024
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Asha Kumari Jakhar, Surila Guglani, Avirup Dasgupta, and Sourajeet Roy, "Prior Knowledge Accelerated Transfer Learning (PKI- TL) for Machine Learning Assisted Uncertainty Quantification of MLGNR Interconnect Networks", in 2023 IEEE 32nd Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS), IEEE, 2023
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Asha Kumari Jakhar, Surila Guglani, Avirup Dasgupta, and Sourajeet Roy, "Noise-Aware Uncertainty Quantification of MLGNR Interconnects using Fast Trained Artificial Neural Networks", in IEEE Electrical Design of Advanced Packaging and Systems (EDAPS), IEEE, 2023.
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Asha Jakhar, Rohit Sharma, Avirup Dasgupta, and Sourajeet Roy, "Spacer Optimization using a Neuro-PSO Approach for Improving FinFET Repeater Performance in On-Chip Global MLGNR Interconnects", in IEEE Electrical Design of Advanced Packaging and Systems (EDAPS), IEEE, 2024.
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