Introduction
The Device Research Lab, or DiRac Lab in short, is the hub of all research activities related to semiconductor devices in the department of Electronics and Communication Engineering, IIT Roorkee. We work on all aspects of semiconductor devices starting from material physics through device design and modeling, all the way to device-circuit co-design for a wide variety of applications. This website will provide a glimpse into the scope of our work, our ongoing projects as well as current and past members. Check the Announcement section for the latest updates and information regarding all available research positions.

News
- Machine Learning for Electron Devices at IIT Roorkee from 3-6 October 2023. Discounted Early-bird registration going on.
- Kumar Sheelvardhan has received the prestigious Prime Minister's Research Fellowship in 2023.
- We are working with Lancaster University on novel memory devices
- We are working with Semiconductor Research Corporation on Machine Learning augmented Compact Models
- We are working with the University of California Berkeley on modeling and EDA development.
- Our group is working with GlobalFoundries on exploratory topics in Non-Volatile Memory and Machine Learning.
- BSIM-CMG 111.1.0 becomes the first industry standard compact model for GAAFETs/Nanosheets.
Announcements
- We are organizing a short cource on Machine Learning for Electron Devices at IIT Roorkee. This is a 4-day in-campus residential program with lectures from experts and hands-on problem-solving sessions for anyone interested in Machine Leranign for EDA. We also have funding opportunities, prizes and awards for participants. Visit our website for more details.
Collaborations


















People
Faculty:

Prof. Avirup Dasgupta
Research area: Compact (SPICE) modeling of semiconductor devices, semiconductor device physics and modelingEmail: avirup@ece.iitr.in
Phone: (+91-1331)-284967 [Office]

Prof. Tanmoy Pramanik
Research area: Non-volatile memories, neuromorphic hardware, memory reliabilityEmail: pramanik.tanmoy@ece.iitr.ac.in
Phone: (+91-1332)28- [Office]

Prof. Sourajeet Roy
Research area: Machine learning based EDA, numerical modeling and simulation of high speed devices and circuitsEmail: sourajeet.roy@ece.iitr.ac.in
Phone: (+91-1332)28-5762 [Office]

Prof. Sudeb Dasgupta
Research area: Low power design, nanoscale device modeling, radiation hardened ICs and devicesEmail: sudeb.dasgupta@ece.iitr.ac.in
Phone: (+91-1332)28-5666 [Office]

Prof. Anand Bulusu
Research area: Circuit design, circuit performance models and design, device-circuit codesignEmail: anand.bulusu@ece.iitr.ac.in
Phone: (+91-1332)24-6588 [Office]
Postdoc:

Mohammad Ehteshamuddin
Research area: RF performance of semiconductor devicesSupervisor(s): Avirup Dasgupta

Ankur Garg
Research area: Novel semiconductor materials and devicesSupervisor(s): Avirup Dasgupta
Neha Mishra
Research area: 2D semiconductor materials and devicesSupervisor(s): Sourajeet Roy, Avirup Dasgupta
Ph.D.:

Surila Guglani
Research area: Stochastic modeling, machine learning for EDASupervisor(s): Sourajeet Roy

Jyoti Patel
Research area: Semiconductor device physics and modelingSupervisor(s): Sudeb Dasgupta
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Abhishek Kumar
Research area: Ferroelectric FETsSupervisor(s): Avirup Dasgupta, Anand Bulusu, Shruti Mehrotra (GF)

Swapna Sarker
Research area: Semiconductor devicesSupervisor(s): Avirup Dasgupta

Kumar Sheelvardhan
Research area: Semiconductor device physics and modelingSupervisor(s): Avirup Dasgupta

Sonalie Ahirwar
Research area: Materials and device: growth, characterization and modelingSupervisor(s): Tanmoy Pramanik

Mohit Shukla
Research area: Modeling of semiconductor devicesSupervisor(s): Avirup Dasgupta

Prabhat Ranjan
Research area: 2D materialsSupervisor(s): Avirup Dasgupta, Amit Agarwal (Phy, IITK)

Srishti
Research area: Semiconductor device modelingSupervisor(s): Avirup Dasgupta

Anamika Singh
Research area: Semiconductor device modelingSupervisor(s): Avirup Dasgupta

Guntas Kaur
Research area: Magnetic materials and devicesSupervisor(s): Tanmoy Pramanik

Shusheel Kumar Arya
Research area: Magnetic materials and devicesSupervisor(s): Tanmoy Pramanik

Musaibh Farooq Dar
Research area: TBDSupervisor(s): Avirup Dasgupta
M.Tech:

Chandan
Research area: Ferroelectric DevicesSupervisor(s): Anand Bulusu, Avirup Dasgupta

Gitesh Gaharwar
Research area: Machine learning for EDASupervisor(s): Avirup Dasgupta

Arun Saxena
Research area: Memory devicesSupervisor(s): Avirup Dasgupta

Vaibhav Saini
Research area: TBDSupervisor(s): Avirup Dasgupta
Research
Ongoing sponsored projects:
Funding Agency | Topic | PI | Co-PI | Budget (INR) | Duration |
---|---|---|---|---|---|
Semiconductor Research Corportaion (SRC) | Machine Learning augmented SPICE Models for Efficient Circuit Design | Avirup Dasgupta | Sourajeet Roy | 34.8 Lakhs | 2022-2025 |
Indian Institute of Technology Roorkee | Materials and devices for emerging anti-ferromagnetic memories | Tanmoy Pramanik | -- | 20 Lakhs | 2022-2024 |
Indian Institute of Technology Roorkee (IPDF) | Analysis and Modeling of Ultra-thin Semiconductors for Future Technology Nodes | Avirup Dasgupta | -- | 21.9 Lakhs | 2022-2025 |
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 | 2021-2023 |
Indian Institute of Technology Roorkee | Matching Grant: Variability Aware Compact Modeling of Nanosheet FETs | Avirup Dasgupta | -- | 9.5 Lakhs | 2021-2023 |
Science and Engineering Research Board, Govt. of India | Variability Aware Compact Modeling of Nanosheet FETs | Avirup Dasgupta | -- | 31.6 Lakhs | 2021-2023 |
Berkeley Device Modeling Center (BDMC) | Compact modeling of advanced semiconductor devices | Avirup Dasgupta | -- | 92 Lakhs | 2021-2026 |
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 | 2021-2022 |
Indian Institute of Technology Roorkee | Modeling and simulation of stacked Nanosheet FETs for upcoming technology nodes | Avirup Dasgupta | -- | 20 Lakhs | 2021-2023 |
Grand total | 2.71 Crores |
Ongoing research collaborations:
Collaborator | Topic |
---|---|
CHIMES, Penn. State Univ. | Modeling of advanced devices, interconnects and systems. |
Ecole Polytechnique Federale de Lausanne (EPFL) | Ferroelectric devices |
Semiconductor Research Corporation | Machine Learning augmented compact modeling |
Berkeley Device Modeling Center (BDMC), UC Berkeley | Compact modeling of advanced semiconductor devices |
BSIM group, UC Berkeley | Research for BSIM models |
University of Glasgow | Modeling and simulation of advanced semiconductor technologies |
GlobalFoundries Engg. Pvt. Ltd. | Non-volatile memory**, Machine Learning** |
Lancaster University | Novel memory devices |
Politecnico di Torino, Italy | Machine learning approaches for device modeling |
QTT group, IIT Kanpur | Simulation of 2D materials and devices |
Nanolab, IIT Kanpur | Modeling of semiconductor devices |
Silvaco Inc., and Nanolab, IIT Kanpur | Modeling of phase-transition materials |
IIT Ropar | 2D materials and interconnects |
**Complete details of projects cannot be disclosed due to existing confidentiality agreements.
Publications
2023:
Journal:
- S. Sarker, A. Kumar, M. Ehteshamuddin and A. Dasgupta, "Compact Modeling of Parasitic Capacitances in GAAFETs for Advanced Technology Nodes", IEEE Journal of Electron Devices Society, 2023.
- C. T. Tung, A. Dasgupta, H. Agarwal, S. Salahuddin and C. Hu, "A Compact Model of Perpendicular Spin-Transfer-Torque Magnetic Tunnel Junction", IEEE Transactions on Electron Devices, 2023.
- N. Mishra, S. Roy, A. Dasgupta, B. P. Pandey and S. Kumar, "Theoretical Insights of the Photocatalytic and Hydrogen Storage Ability of Two-dimensional (2D) MoSe2 (MX2) and MoSSe (MXY) (X=Se,Y=S) ML using DFT Study", IEEE Sensors Journal, 2023.
- A. Kumar, M. Ehteshamuddin, A. Gaidhane, A. Bulusu, S. Mehrotra, A. Dasgupta, "Universal Compact Model of Flicker Noise in Ferroelectric Logic and Memory Transistors", IEEE transactions on Electron Devices, 2023.
- A. Ashai, A. Jadhav, A. K. Behra, S. Roy, A. Dasgupta, B. Sarkar, "Deep Learning Based Fast BSIM-CMG Parameter Extraction for General Input Dataset", IEEE Transactions on Electron Devices, vol 70., no. 7, 2023
- Km Dimple, S. Guglani, A. Dasgupta, R. Sharma, S. Roy and B. K. Kaushik, "Modified Knowledge Based Neural Networks Using Control Variates for the Fast Uncertainty Quantification of On-Chip MWCNT Interconnects", IEEE Transactions on Electromagnetic Compatibility, accepted, 2023.
- K. Sheelvardhan, S. Guglani, M. Ehteshamuddin, S. Roy and A. Dasgupta, "Machine Learning Augmented Compact Modeling for Simultaneous Improvement in Computational Speed and Accuracy", IEEE Transactions on Electron Devices, 2023.
Conference:
- S. Sarker, S. Roy, and A.Dasgupta, "Prior Knowledge Input Difference-based Compact Model for Predicting the Subband Energy in GAAFETs", International Workshop on Physics of Semiconductor Devices (IWPSD), Chennai, Dec. 2023.
- M. Shukla,M. Ehteshamuddin, A. Kumar, K. Sheelvardhan and A. Dasgupta, "Novel Charge Partitioning Compact Model including Field-Dependent Mobility Degradation Effect for nanoscale MOSFETs", International Workshop on Physics of Semiconductor Devices (IWPSD), Chennai, Dec. 2023.
- A. Kumar, A. Bulusu, S. Mehrotra, and A. Dasgupta, "A Landau Based Compact Model for Multi Domain Ferroelectric Field Effect Transistors", International Workshop on Physics of Semiconductor Devices (IWPSD), Chennai, Dec. 2023.
- K. Sheelvardhan, M. Ehteshamuddin, S. Roy, and A. Dasgupta, "Machine Learning Augmented Hybrid BSIM-CMG Compact Model for Increased Simulation Speed", International Workshop on Physics of Semiconductor Devices (IWPSD), Chennai, Dec. 2023.
- M. Ehteshamudin, A. Kumar, S. Roy and A. Dasgupta, "Optimizing Memory Window and Polarization of a Fe-CAP Using Machine Leaning Assisted Genetic Algorithm Framework", International Workshop on Physics of Semiconductor Devices (IWPSD), Chennai, Dec. 2023.
- A. Srivastava, N. Mishra, P. Ranjan, and A. Dasgupta, "Analysis of the Best Metal Contacts for 2-dimensional MoS2 Based Advanced Devices for Future Technology Nodes", International Workshop on Physics of Semiconductor Devices (IWPSD), Chennai, Dec. 2023.
- N. Mishra, P. Ranjan, S. Roy and A. Dasgupta, "Study of Spin Induced Ferromagnetism in Transition Metal (Mo) doped and Mn-Adsorbed CrI3 Monolayer", International Workshop on Physics of Semiconductor Devices (IWPSD), Chennai, Dec. 2023.
- N. Mishra, P. Ranjan, S. Roy and A. Dasgupta, "Photocatalytic and Optical Properties of TiO2/MoSSe Monolayer for Enhanced IR absorption", International Workshop on Physics of Semiconductor Devices (IWPSD), Chennai, Dec. 2023.
- A. K. Jakhar, S. Guglani, A. Dasgupta, S. Roy, "Prior Knowledge Accelerated Transfer Learning (PKI-TL) for Machine Learning Assisted Uncertainty Quantification of MLGNR Interconnect Networks", IEEE Electrical Performance Electronic Packaging Systems (EPEPS), Milpitas, CA, USA, Oct. 2023.(Invited)
- M. Yusuf, S. Singh, B. Sarkar, A. Dasgupta and S. Roy, "A Deep Learning Space Mapping based Enhancement of Compact Models for Accurate Prediction of Trapping in GaN HEMTs from DC to mm-Wave Frequency", International Microwave Symposium (IMS), San Diego, CA, 2023.
- K. Sheelvardhan, S. Guglani, M. Ehteshamuddin, S. Roy and A. Dasgupta, "Variability Aware FET Model with Physics Knowledge Based Machine Learning", IEEE Electron Devices Technology and Manufacturing Conference (EDTM), Seoul, Korea, Mar. 2023
- S. Banchhor, N. Bagga, N. Chauhan, S. Manikandan, A. Dasgupta, S. Dasgupta and A. Bulusu, "A New Insight into the Saturation Phenomenon in Nanosheet Transistor: A Device Optimization Perspective", IEEE Electron Devices Technology and Manufacturing Conference (EDTM), Seoul, Korea, Mar. 2023.
Invited Talks:
- A. Dasgupta, "BDMC STT-MRAM compact model", BDMC Summer webinar, Sep. 2023.
- A. Dasgupta, "Machine Learningfor Semiconductor Devices", IEEE EDS Workshop on Devices and Circuits (WDC), Khajuraho, India, Jan. 2023.
- S. Roy, "Machine learning techniques as alternative to physical models for parametric sweeps", IEEE EDS Workshop on Devices and Circuits (WDC), Khajuraho, India, Jan. 2023.
- A. Kumar, "Ferroelectric devices for advanced memory technologies", IEEE EDS Workshop on Devices and Circuits (WDC), Khajuraho, India, Jan. 2023.
- M. Shukla, "Partitioning of charges in MOSFETs", IEEE EDS Workshop on Devices and Circuits (WDC), Khajuraho, India, Jan. 2023.
- M. Ehteshamuddin, "Design and optimization of emerging semiconductor devices", IEEE EDS Workshop on Devices and Circuits (WDC), Khajuraho, India, Jan. 2023.
- P. Ranjan, "Absorption enhancement in 2D material for emerging semiconductor applications", IEEE EDS Workshop on Devices and Circuits (WDC), Khajuraho, India, Jan. 2023.
- S. Sarker, "Compact modeling of emerging FETs for future technology nodes", IEEE EDS Workshop on Devices and Circuits (WDC), Khajuraho, India, Jan. 2023.
- K. Sheelvardhan, "Variability aware FET model with physics knowledge based machine learning", IEEE EDS Workshop on Devices and Circuits (WDC), Khajuraho, India, Jan. 2023.
2022:
Journal:
- R. Kumar, S. S. Likith Narayan, S. Kumar, S. Roy, B. K. Kaushik, R. Achar, and R. Sharma, “Knowledge based neural networks for fast design space exploration of hybrid copper-graphene on-chip interconnect networks,” IEEE Transactions on Electromagnetic Compatibility, vol. 64, no. 1, 2022.
- A. Jadhav, T. Ozawa, A. Baratov, J. T. Asubar, M. Kuzuhara, A. Wakejima, S. Yamashita, M. Deki, S. Nitta, Y. Honda, H. Amano, S. Roy, B. Sarkar, “An accurate approach to develop small signal circuit models for AlGaN/GaN HEMTs using rational functions and dependent current sources,” IEEE Journal of Electron Devices Society, vol. 10, Issue 7, 2022.
- S. Kushwaha, N. Soleimani, F. Trevisio, R. Kumar, R. Trinchero, F. G. Canavero, S. Roy, and R. Sharma, “Comparative analysis of prior knowledge-based machine learning metamodels for modeling hybrid copper-graphene on-chip interconnects,” IEEE Transactions on Electromagnetic Compatibility, vol. 64, no. 6, 2022.
- S. Guglani, Km. Dimple, S. Roy, R. Sharma, and B. K. Kaushik, “A bilevel multi-fidelity polynomial chaos approach for the uncertainty quantification of MWCNT interconnect networks with variable imperfect contact resistances,” IEEE Access, vol. 10, 2022.
- A. Pon, M. Ehteshamuddin, K. Sheelvardhan and A. Dasgupta, "Analysis of 1/f and G-R Noise in Phosphorene FETs", Solid State Electronics, Vol. 200(108530), 2022.
- N. Mishra, B. Pandey, V. Tomar, A. Dasgupta and S. Kumar, "Investigating the Infrared (IR) Absorption and Optoelectronic Properties of Mn-doped MoSe2 ML by Adsorption of NOx Gas Molecules", IEEE Sensors Journal, Vol. 22, Issue 23, 2022.
- A. Roy, T. Pramanik, S. Chowdhury, and S. K. Banerjee, "Phase-Field Modeling of Chemical Vapor-Deposited 2D MoSe2 Domains with Varying Morphology for Electronic Devices and Catalytic Applications", ACS Applied Nano Materials, accepted, 2022.
Conference:
- S. Ahirwar and T. Pramanik, "A Simulation Study of Stand-By and Active Write Mode Magnetic Immunity of Perpendicular Spin-Transfer-Torque Random-Access Memory", IEEE International Conference on Emerging Electronics (ICEE), Bengaluru, Dec. 2022.
- S. Parandiyal, A. Singh, K. Sheelvardhan, S. Guglani, M. Ehteshamuddin, S. Roy and A. Dasgupta, "An Efficient Variability-Aware Control Variate-Assisted Neural Network Model for Advanced Nanoscale Transistors", IEEE International Conference on Emerging Electronics (ICEE), Bengaluru, Dec. 2022.
- A. Kumar, G. Pahwa, A. K. Behera, A. Bulusu, S. Mehrotra and A. Dasgupta, "Analysis and Modeling of Flicker Noise in Ferroelectric FinFETs", IEEE International Conference on Emerging Electronics (ICEE), Bengaluru, Dec. 2022.
- M. Subramaniyan, N. Chauhan, N. Bagga, A. Kumar, S. K. Banchhor, S. Roy, A. Dasgupta, A. Bulusu and S. Dasgupta, "Analysis and Modeling of Leakage Currents in Stacked Gate-All-Around Nanosheet Transistors", IEEE International Conference on Emerging Electronics (ICEE), Bengaluru, Dec. 2022.
- G. Pahwa, A. Dasgupta, C. T. Tung, M.Y. Kao, C. K. Dabhi, S. Sarker, S. Salahuddin and C. Hu, "Compact Modeling of Emerging IC Devices for Technology-Design Co-development", IEEE International Electron Devices Meeting (IEDM), San Francisco, 2022. (Invited)
- S. Guglani, Km Dimple, A. Dasgupta, R. Sharma, B. K. Kaushik and S. Roy, "A Transfer Learning Approach to Expedite Training of Artificial Neural Networks for Variability-Aware Signal Integrity Analysis of MWCNT Interconnects ", IEEE Electrical Performance Electronic Packaging Systems Conference (EPEPS), San Jose, CA, USA, Oct. 2022.
- A. Pon, M. Ehteshamuddin, K. Sheelvardhan, and A. Dasgupta, "Analysis of 1/f and G-R Noise in Phosphorene FETs", International Conference on Simulation of Semiconductor Processes and Devices (SISPAD), Granada, Spain, Sep. 2022.
- S. Guglani, J. Patel, A. Dasgupta, M.-Y. Kao, C. Hu, S. Roy, "Artificial Neural Network Surrogate Models for Efficient Design Space Exploration of 14-nm FinFETs", Device Research Conference (DRC), Ohio, USA, June 2022.
- A. Kar, S. Sarker, A. Dasgupta, and Y. S. Chauhan, "Impact of Corner Rounding on Quantum Confinement in GAA Nanosheet FETs for Advanced Technology Nodes", Device Research Conference (DRC), Ohio, USA, June 2022.
- N. Chauhan, C. Garg, K. Ni, A. K. Behera, S. Yadav, S. K. Banchhor, N. Bagga, A. Dasgupta, A. Dutta, S. Dasgupta, A. Bulusu, "Impact of Random Spatial Fluctuation in Non-Uniform Crystalline Phases on Multidomain MFIM Capacitor and Negative Capacitance FDSOI", IEEE International Reliability Physics Symposium (IRPS), Dallas, 2022.
- J. Patel, S. Banchor, S. Guglani, A. Dasgupta, S. Roy, A. Bulusu and S. Dasgupta, "Design Optimization Using Symmetric/Asymmetric Spacer for 14 nm Multi-FinFET for Mid-Band 5G Application", International Conference on VLSI Design, Feb. 2022.
Invited Talks:
- S. Roy, "Machine Learning Techniques as Alternative to Physics Based Parametric Device Model Development", IEEE Internationcal Conference on Emerging Electronics (ICEE), Bengaluru, India, 2022.
- T. Pramanik, "Uncovering stochastic write-error problems in STT-MRAM using micromagnetic modeling", IEEE Internationcal Conference on Emerging Electronics (ICEE), Bengaluru, India, 2022.
- A. Dasgupta, "BSIM: A family of Industry Standard Compact Models for Modern FETs", IEEE Internationcal Conference on Emerging Electronics (ICEE), Bengaluru, India, 2022.
- A. Dasgupta, "Machine Learning for Semiconductor Devices", Research Opportunities in Semiconductor Materials and Devices (ROSMD), Oct. 2022.
- A. Dasgupta, "Recent Developments in Compact Models for Multi-Gate FETs", IEEE EDS Workshop on Devices and Circuits (WDC), Goa, Mar. 2022.
- S. Roy, "Machine Learning and Its Opportunities in Device Modeling and Simulation", IEEE EDS Workshop on Devices and Circuits (WDC,) Goa, Mar. 2022.
- S. Sarker, "ML Augmented Compact Model of Subband Energy for GAAFETs", IEEE EDS Workshop on Devices and Circuits (WDC), Goa, Mar. 2022.
- S. Guglani, "Machine learning based Surrogate Models for Device Modeling", IEEE EDS Workshop on Devices and Circuits (WDC), Goa, Mar. 2022.
- J. Patel, "FinFET Technology for Mid-Band 5G Application", IEEE EDS Workshop on Devices and Circuits (WDC), Goa, Mar. 2022.
- A. Dasgupta, "Recent developments in compact models for modern and future technologies", Chandigarh University, Mar. 2022.
- A. Dasgupta, "BSIM compact models for present and future Multi-Gate FETs", Micron Technology, Inc., Mar. 2022.
2021:
Journal:
- G. Pahwa, P. Kushwaha, A. Dasgupta, S. Salahuddin and C. Hu, “Compact Modeling of Temperature Effects in Modern MOSFETs down to Cryogenic Temperatures”, IEEE Transactions on Electron Devices, Vol. 68, Issue 9, 2021.
- M.-Y. Kao, Y.-H. Liao, G. Pahwa, A. Dasgupta, S. Salahuddin and C. Hu, “Energy Storage and Reuse in Negative Capacitance", IEEE Transactions on Electron Devices, Vol. 68, Issue 4, 2021.
- U. Roy, T. Pramanik, S. Roy, A. Chatterjee, L. F. Register and S. K. Banerjee, “Machine Learning for Statistical Modeling: The Case of Perpendicular Spin-Transfer-Torque Random Access Memory”, ACM Transactions on Design Automation of Electronic Systems, Vol. 26, Issue 3, 2021.
- A. Jadhav, T. Ozawa, A. Baratov, J. T. Asubar, M. Kuzuhara, A. Wakejima, S. Yamashita, M. Deki, Y. Honda, S. Roy, H. Amano, B. Sarkar, “Generalized frequency dependent small signal model for high frequency analysis of AlGaN/GaN MOS-HEMTs”, IEEE Journal of Electron Devices Society, vol. 9, 2021
Conference:
- A. Dasgupta, "BSIM-CMG: Compact Model for Gate-All-Around FETs", International Workshop on Physics of Semiconductor Devices (IWPSD), Dec. 2021. (Invited)
- R. Kumar, S. Sarker, S. Dasgupta, A. Dasgupta, S. Roy, "Fast extraction of quantum confinement effect on threshold voltage of Gate-All-Around FETs using machine learning methods", International Workshop on Physics of Semiconductor Devices (IWPSD), Dec. 2021.
- S. Banchhor, N. Bagga, N. Chauhan, S. Manikandan, A. Dasgupta, S. Dasgupta, A. Bulusu, "Analysis of Self-Heating in 5nm Stacked Nanosheet Transistor", International Workshop on Physics of Semiconductor Devices (IWPSD), Dec. 2021.
- A. Dasgupta, "Compact Modeling for Gate-All-Around FET Technology", MOS-AK (Asia Pacific) Workshop, 2021.(Invited)
- Y-F Chang, I. Karpov, R. Hopkins, D. Janosky, J. Medeiros, B. Sherrill, J. Zhang, Y. Huang, T. Pramanik, A. Chen, T. Acosta, A. Guler, J. A. O'Donnell, P. A. Quintero, N. Strutt, O. Golonzka, C. Connor, J. C. Lee and J. Hicks, “Embedded emerging memory technologies for neuromorphic computing: temperature instability and reliability”, IEEE International Reliability Physics Symposium (IRPS), 2021.
Invited Talks:
- A. Dasgupta, "BSIM-CMG: Compact Model for Gate-All-Around FETs", International Workshop on Physics of Semiconductor Devices (IWPSD), IIT Delhi, Dec. 2021.
- A. Dasgupta, "Semiconductor devices: Recent advances and open problems", IEEE EDS Technical Talk, MSIT Kolkata, Oct. 2021.
- A. Dasgupta, "Design Considerations and Compact Modeling of GAAFETs for Upcoming Technology Nodes", Short Term Course on "Frontier Areas of Electronics and Communication Engineering: An Industry-Academia Convergence”, NIT-UK, Sep. 2021.
- A. Dasgupta, "Compact Modeling for Gate-All-Around FET Technology", MOS-AK (Asia Pacific) Workshop, Feb. 2021.
- A. Dasgupta, "Design and Modeling of Nanosheet FETs", IITK Short Course, Feb. 2021.
- A. Dasgupta, "Design Considerations and Compact Modeling of GAAFETs for Upcoming Technology Nodes", AICTE Workshop, NIT Meghalaya, Feb. 2021. (Keynote)
- S. Roy and R. Sharma, “Implications of Thermal Aspects on Interconnect and Packaging Technology - An Electro-Thermal Co-Design Perspective”, IEEE Electrical Design of Advanced Packaging and Systems Conference, December 14th, 2020
- S. Roy, “Recent Advances in Statistical Machine Learning for Uncertainty Quantification of High-Speed Circuits”, Workshop on Next Generation Electronic Systems: Heterogeneous Integration, Thermal and Power Management, Related Machine Learning organized by Binghamton University, SUNY, New York, October 8th, 2020
- S. Roy and R. Sharma, “Graphene-Based Emerging Interconnects - From Physics-Based Deterministic SPICE Models to Uncertainty Quantification”, IEEE 27th Conference on Electrical Performance of Electronic Packaging and Systems, San Jose, October 7th, 2020
- R. Sharma and S. Roy, “Understanding the Impact of Surface Roughness on the Performance of Next Generation Cu Interconnects”, IEEE Electrical Design of Advanced Packaging and Systems Conference, Kaohsiung, Taiwan, December 14th, 2019
Gallery
IEEE WDC 2023, Jan. 2023

Khajuraho, IEEE WDC 2023, Jan. 2023

Khajuraho, IEEE WDC 2023, Jan. 2023

MLED'22 participants and organizers, 2022

Group Dinner, 2022

Breakfast at Dehradun, 2022

DiRac Lab trip to Mussoorie, 2022

WDC Goa, 2022

Group photo, Annual Review Meeting, Mar. 2022

Group photo, Annual Review Meeting, Mar. 2022

Group photo, Feb 2022

Group outing for coffee

Q4 CMC Metting, 2021

News coverage of EDS Early Career Award

News coverage of EDS Early Career Award

IIT Kanpur's coverage of EDS Early Career Award

IIT Roorkee's coverage of EDS Early Career Award

Q3 CMC meeting, virtual, 2021.

Press release for BSIM-BULK 107.0.0, 2020.

BDMC annual meeting, San Francisco CA, 2019.

Q2 CMC meeting, Santa Clara CA, 2019.

BDMC annual meeting, UC Berkeley, 2018.

Q4 CMC meeting, Fremont CA, 2018.

BSIM group, UC Berkeley, 2017.

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