Sponsored projects
| Funding Agency | Topic | PI | Co-PI | Budget (INR) | Status |
|---|---|---|---|---|---|
| ANRF, Govt. of India | Physics Informed Neural Operators (PINO): A Scientific Machine Learning Approach for the Extremely Fast First-Principles Monte Carlo Analysis of Nanoscale FETs | Sourajeet Roy | Avirup Dasgupta, Oves Badami (IITH) | 95 Lakhs | Ongoing |
| National Quantum Mission, Govt. of India | Design and Demonstration of a Highly Scalable Quantum Computer using Semiconducting Qubits | IITD: A. Dixit, K. Paul, A. Jain, R. K. Palani, K. Saha IITR: A. Dasgupta, S. Dasgupta, V. S. Poonia, S. Kumar, D. Bhat IITK: Y. S. Chauhan, A. Lahgere IITRpr: N. Goyal, D. M. Das BITS Pilani: R. Yeleswarapu |
55 Cr | Ongoing | |
| QuInAS, UK | ULTRARAM memory | Avirup Dasgupta | - | undisclosed | Ongoing |
| Science and Engineering Research Board, Govt. of India | A Systematic Design of Robust Memory Cell Using Ferroelectric FET (FeFET) for AI Hardware Accelerator | Anand Bulusu | Avirup Dasgupta, Nitanshu Chauhan (IIT Bhilai) | 40.2 Lakhs | Ongoing |
| Semiconductor Research Corportaion (SRC) | Machine Learning augmented SPICE Models for Efficient Circuit Design | Avirup Dasgupta | Sourajeet Roy | 34.8 Lakhs | Ongoing |
| Berkeley Device Modeling Center (BDMC) | Compact modeling of advanced semiconductor devices | Avirup Dasgupta | -- | 92 Lakhs | Ongoing |
| Indian Institute of Technology Roorkee | Materials and devices for emerging anti-ferromagnetic memories | Tanmoy Pramanik | -- | 20 Lakhs | Completed |
| Indian Institute of Technology Roorkee (IPDF) | Analysis and Modeling of Ultra-thin Semiconductors for Future Technology Nodes | Avirup Dasgupta | -- | 21.9 Lakhs | Completed |
| Science and Engineering Research Board, Govt. of India | Development and Optimization of Magnetic Field Tolerant Spintronic Devices Targeted Toward Mobile and IOT Applications | Tanmoy Pramanik | -- | 31.5 Lakhs | Completed |
| Indian Institute of Technology Roorkee | Matching Grant: Variability Aware Compact Modeling of Nanosheet FETs | Avirup Dasgupta | -- | 9.5 Lakhs | Completed |
| Science and Engineering Research Board, Govt. of India | Variability Aware Compact Modeling of Nanosheet FETs | Avirup Dasgupta | -- | 31.6 Lakhs | Completed |
| Qualcomm India (Qualcomm Innovation Fellowship India 2021) | Fast Machine Learning Based Parametric SPICE Macromodel Extraction for FinFET Device-to-System Level Optimization | Sourajeet Roy | Sudeb Dasgupta | 10 Lakhs | Completed |
| Indian Institute of Technology Roorkee | Modeling and simulation of stacked Nanosheet FETs for upcoming technology nodes | Avirup Dasgupta | -- | 20 Lakhs | Completed |
Collaborations
| Organisation/Group | Topic |
|---|---|
| Berkeley Device Modeling Center | Compact modeling of advanced semiconductor devices |
| Compact Model Coalition (CMC), Si2 | Compact modeling of BSIM models |
| GlobalFoundries | Device modeling; advanced EDA frameworks |
| Siemens EDA | Device and circuit models; EDA frameworks |
| Texas Instruments | Device and Circuit models; EDA frameworks |
| Nvidia | Advanced EDA frameworks |
| QUINAS | ULTRARAM memory and Neuromorphic computing |
| Semiconductor Research Corporation | Machine learning augmented compact models |
| Polytechnico di Torino | Machine Learning |
| University of Lancaster | Memory Devices |
| Chimes, Penn. State | Modeling of contacts and interconnects |
| IIT Hyderabad | EDA frameworks; machine learning frameworks for semiconductor devices and circuits |
| IIT Ropar | Modeling of contacts, interconnects and packaging; Quantum computing |
| IIT Kanpur | 2D materials; Cryo CMOS; Neuromorphic computing |
| IIT Jodhpur | Compact Models for Semiconductor Devices |
| IIT Delhi | Cryo CMOS; Quantum Computing |
Contact Us
Reach out to DiRac Lab
Location:
W-202/1,
Department of Electronics and Communication Engineering,
Indian Institute of Technology Roorkee
Email:
diraclab@ece.iitr.ac.in