Jul 4, 2025
Congratulations to Anubhal Sehgal for getting her paper titled 'Continuous On-chip Learning in Neural Networks using SOT-MRAM based CIM Architectures' accepted in ICCAD 2025.
Jun 22, 2025
CMAS Lab celebrated a Ph.D. thesis defense today! 🎉 Congratulations to Dr. Mohd Yusuf Mansoori on successfully defending his thesis and starting a new chapter atMicron Technology, Taiwan as a Senior Yield Enhancement Engineer.
May 23, 2025
We are excited to host Prof. Riccardo Trinchero from Politecnico di Torino at the ECE Dept, IIT R. Stay tuned for his lecture on "Surrogate Modeling of Electronic Devices and Circuits Using Machine Learning.
Mar 20, 2025
Prof. Sourajeet Roy has joined the IEEE Journal on Multiscale and Multiphysics Computational Techniques (JMMCT) as an Associate Editor
Mar 15, 2025
Exciting news ! Anubha Sehgal’s paper "Enhancing Parallelism and Energy-Efficiency in SOT-MRAM based CIM Architecture for On-Chip Learning" has been accepted at DAC.
Oct 1, 2024
Congrats to M. Yusuf, S. Singh, B. Sarkar, and A. Dasgupta for their paper "A Space Mapping Augmented Compact Model for Uncertainty Quantification of GaN HEMT Devices and Circuits in the Presence of Trap Effects" accepted in IEEE Transactions-ED
Sep 14, 2024
Congrats to S. Guglani, A. Jakhar, and A. Dasgupta for their invited paper "Combining Prior Knowledge With Transfer Learning (PKID-TL) for Fast Neural Network Enabled Uncertainty Quantification of Graphene On-Chip Interconnects" accepted in IEEE T-CPMT
Jul 16, 2024
CMAS Lab is excited to welcome two new Ph.D. scholars this semester! Manisha joins us via an SRC-funded project with DiRac Lab on ML-augmented compact models. Aakanksha Verma will work on ML-based ODE/PDE solvers for circuit simulation. Welcome aboard!
Jun 29, 2024
We’re thrilled to share that Prof. Sourajeet Roy will be co-chairing the Special Session on Machine Learning Aided SI, PI, EMC, and EMI at EMC+SIPI 2024.
Jun 28, 2024
Great news! Our paper at EMC+SIPI 2024 has been selected as a Best Paper finalist. Congrats to A. Jakhar, D. Basu, S. Guglani, K. Dimple, and A. Dasgupta for their excellent work! 🎉
Jun 20, 2024
CMAS Lab celebrated its first Ph.D. thesis defense today! 🎉 Congratulations to Dr. Surila Guglani on successfully defending her thesis and starting a new chapter at Micron Technology, Hyderabad, with the compact modeling group.
Jun 10, 2024
We are thrilled to share that Prof Sourajeet Roy will be serving as the general chair for the IEEE 17th IEEE Electrical Design of Advanced Packaging and Systems (EDAPS) Conference along with Prof. Rohit Sharma
May 15, 2024
A.K. Jakhar, D. Basu, Km Dimple, S. Guglani, A. Dasgupta, and S. Roy's paper "A Fast Metalearning Algorithm for Neural Network Enabled Uncertainty Quantification of Graphene-Based Interconnects with Passive Shielding" is accepted at IEEE EMC+SIPI 2024.
Mar 6, 2024
Our paper "Impact of Electric Field on the Perpendicular Magnetic Anisotropy of CrMnS₂I₂ Monolayer – A DFT Perspective" by N. Mishra, P. Ranjan, A. Dasgupta, and S. Roy is accepted at IEEE EDTM 2024, Bengaluru
Feb 12, 2024
Our paper titled "Artificial Neural Networks With Fast Transfer Learning for Statistical Signal Integrity Analysis of MWCNT and MLGNR Interconnect Networks " is accepted in IEEE Transactions on EMC
Dec 17, 2023
Prof. S. Roy delivered an invited talk at the 22nd IWPSD held at IIT Madras, titled "Stochastic Modeling of Emergent Graphene-based Nanointerconnects Using Machine Learning Paradigms for Fast Variability Analysis," based on recent advances from CMAS Lab
Dec 14, 2023
Our paper "Noise-Aware Uncertainty Quantification of MLGNR Interconnects using Fast Trained Artificial Neural Networks" by A.K. Jakhar, S. Guglani, A. Dasgupta, and S. Roy has been accepted at IEEE EDAPS 2023, Mauritius.
Dec 14, 2023
Our paper "Optimization of Eye Diagram Characteristics of MLGNR Interconnect Networks Using Fast ML Assisted Evolutionary Algorithm" by Dimple, Ehteshamuddin, S. Guglani, A. Dasgupta, and S. Roy has been accepted at IEEE EDAPS 2023, Mauritius.
Nov 20, 2023
Our paper "Fast Multi-ANN Composite Models for Repeater Optimization with Parametric Uncertainty in On-Chip Hybrid Copper-Graphene Interconnects" by S. Kushwaha, A. Dasgupta, S. Roy, and R. Sharma is now published in IEEE Access, vol. 11, 2023.
Oct 19, 2023
Prof Sourajeet Roy and Prof Avirup Dasgupta will be unveiling the research of CMAS and DiRac Lab in their tutorial 'Metalearning Advances in Machine Learning for Modeling of Emerging FET Devices and Interconnects below 10nm Technology Nodes' at EPEPS 2023
Oct 18, 2023
Congrats to Asha, Surila for getting 'Prior knowledge accelerated transfer learning (PKI-TL) for machine learning assisted uncertainty quantification of MLGNR interconnect networks' accepted in EPEPS 2023 as part of the Special Session on Machine Learning
Oct 3, 2023
Prof. Avirup Dasgupta and Prof. Sourajeet Roy will be jointly organizing the 2nd Sort course on Machine Learning for Electron Devices (MLED'23)from 3rd - 6th October 2023. This will be a short course by iHUB DivyaSampark and the ECE department of IIT R
Jun 15, 2023
Congrats to Dimple and Surila Guglani for getting our paper 'Modified Knowledge-Based Neural Networks Using Control Variates for the Fast Uncertainty Quantification of On-Chip MWCNT Interconnects' accepted for publication in IEEE Transactions on EMC
Jun 5, 2023
Congratulation to Aasim Ashai for getting our paper entitled 'Deep Learning Based Fast BSIM-CMG Parameter Extraction for General Input Dataset' accepted for publication in IEEE Transactions on Electron Devices!!! This is a joint work with the DiRaC Lab.
Dec 20, 2022
Prof. Roy will be presenting an invited lecture entitled 'Machine Learning Techniques as Alternative to Physics-Based Parametric Device Model Development' at the prestigious 6th International Conference on Emerging Electronics in Bengaluru, India
Dec 16, 2022
We’re happy to share that our proposal, Machine Learning Augmented SPICE Models for Efficient Circuit Design, has been granted funding by the SRC India Call 2022. The 3-year grant lets us use ML for faster, more accurate compact models for nanoscale FETs.
Nov 22, 2022
Congrats to Surila and Dimple on getting 'Transfer Learning Approach to Expedite Training of Artificial Neural Networks for Variability-Aware Signal Integrity Analysis of MWCNT Interconnects' accepted in EPEPS 2022. This is our latest work with DiRac Lab.
Oct 22, 2022
Congratulations to Surila Guglani and Dimple for getting 'A Bilevel Multi-fidelity Polynomial Chaos Approach for the Uncertainty Quantification of MWCNT Interconnect Networks with Variable Imperfect Contact Resistances' accepted in IEEE Access
Sep 22, 2022
Congrats to Aakash Yadav and Prof. Biplab Sarkar for getting our paper 'An Accurate Approach to Develop Small Signal Circuit Models for AlGaN/GaN HEMTs using Rational Functions and Dependent Current Sources' accepted in the IEEE Journal of EDS.
Sep 20, 2022
Congrats to Suyash Kushwaha and our partners at Politecnico de Torino for getting 'Comparative Analysis of Prior Knowledge-Based Machine Learning Metamodels for Modeling Hybrid Copper-Graphene On-Chip Interconnects' accepted in IEEE Transactions on EMCS.
Jul 15, 2022
Congrats to Adeeba for getting our paper titled 'An Artificial Neural Network Surrogate Model for Repeater Optimization in the Presence of Parametric Uncertainty for Hybrid Copper-Graphene Interconnect Networks' in 2022 IEEE MTT-S NEMO.
Jul 12, 2022
Congrats to Dimple, Surila Guglani, and Rahul Kumar on our paper 'Exploring the Impact of Parametric Variability on Eye Diagram of On-Chip Multi-walled Carbon Nanotube Interconnects using Fast Machine Learning Techniques' accepted in 2022 IEEE 72nd ECTC.
Nov 21, 2021
Our recent paper titled 'A polymorphic polynomial chaos formulation for mixed epistemic-aleatory uncertainty quantification of RF/Microwave circuits' authored by PhD Mohd. Yusuf has been published in the Special Issue of the IEEE Transaction on MTT-S.
May 28, 2021
Our recent paper titled 'Modified Small Signal Circuit of AlGaN/GaN MOS-HEMTs using Rational Functions' has been accepted for publication in the IEEE Transaction on Electron Devices. This work is a CMAS–WBR IITR–Nagoya Univ. collaboration.
Mar 5, 2021
Our project on ML-based SPICE macromodeling for FinFETs has been selected for funding by Qualcomm as part of the 2021 Qualcomm Innovation Fellowship India. Congrats to Surila Guglani, who led the proposal with our Prof. Sudeb Dasgupta and Jyoti Patel.
Jan 29, 2021
Our paper titled 'Generalized Frequency-Dependent Small-Signal Model for High Frequency ' Analysis of AlGaN/GaN MOS-HEMTs' has been accepted for publication in the IEEE Journal of EDS. This work is a CMAS–WBG IITR–Nagoya Univ. collaboration.