Research
Publications (12)
Journal Papers (07)
Narendra Singh Dhakad, Eshika Chittora, Vishal Sharma, Santosh Kumar Vishvakarma, R-InMAC: 10T SRAM based Reconfigurable and Efficient In-Memory Advance Computation for Edge Devices, Analog Integrated Circuits and Signal Processing, Springer, Volume 116, pages 161-184, August 2023. Impact Factor: 1.337
Narendra Singh Dhakad, Eshika Chittora, Gopal Raut, Vishal Sharma, Santosh Kumar Vishvakarma, In-Memory Computing with 6T SRAM for Multi-Operator Logic Design, Circuits, Systems, and Signal Processing, Springer, Volume 43, pages 646-660, August 2023. Impact Factor: 2.311
Megha Nawaria, Sanjay Kumar, Mohit Kumar Gautam, Narendra Singh Dhakad, Rohit Singh, Sonal Singhal, Pawan Kumar, Santosh Kumar Vishvakarma and Shaibal Mukherjee, Memristor-inspired Digital Logic Circuits and Comparison with 90-/180-nm CMOS Technologies, IEEE Transactions on Electron Devices, June 2023. Impact Factor: 3.221
Shruti Sandip Ghodke, Sanjay Kumar, Saurabh Yadav, Narendra Singh Dhakad, Shaibal Mukherjee, Combinational Logic Circuits Based on Power and Area Efficient Memristor with Low Variability, Journal of Computational Electronics, Springer, December 2023. Impact Factor: 2.1
Harsh Chhajed, Gopal Raut, Narendra Singh Dhakad, Sudheer Vishwakarma and Santosh Kumar Vishvakarma, BitMAC: Bit-Serial Computation based Efficient Multiply ACcumulate unit for DNN Accelerator, Circuits, Systems, and Signal Processing, Springer, Volume 41, pages 2045-2060, April 2022. Impact Factor: 2.225
Gopal Raut, Anton Biasizzo, Narendra Singh Dhakad, Neha Gupta, Gregor Papa and Santosh Kumar Vishvakarma, Data Multiplexed and Hardware Reused Architecture for Deep Neural Network Accelerator, Neurocomputing, Elsevier, Volume 486, May 2022, pages 147-159. Impact Factor: 4.438
Neha Gupta, Ambika Prasad Shah, Rana Sagar Kumar, Gopal Raut, Narendra Singh Dhakad and Santosh Kumar Vishvakarma, Soft Error Hardened Voltage Bootstrapped Schmitt Trigger Design for Reliable Circuits, Microelectronics Reliability, Elsevier, Volume 117, February 2021. Impact Factor: 1.535
Conference Papers (05)
Radheshyam Sharma, Narendra Singh Dhakad, Govindu Sathvik Reddy, Vishal Sharma and Santosh Kumar Vishvakarma, ReCAM: Resistive RAM Digital Content Addressable Memory Using Novel 3T1R Bitcell, 8th IEEE Electron Devices Technology and Manufacturing, March 2024.
Sudheer Vishwakarma, Gopal Raut, Narendra Singh Dhakad, Santosh Kumar Vishvakarma, Dhruva Ghai, A Configurable Activation Function for Variable Bit-Precision in Hardware DNN Implementation, 6th IFIP International Internet of Things Conference, IFIP-IoT 2023, Texas, USA.
Neha Gupta, Nikhil Agrawal, Narendra Singh Dhakad, Ambika Prasad Shah, Santosh Kumar Vishvakarma and Patrick Girard, Voltage Bootstrapped Schmitt Trigger based Radiation Hardened Latch design for Reliable Circuits, GLSVLSI'21: Proceedings of 2021 on Great Lakes Symposium on VLSI, June 2021, pages 307–312.
Narendra Singh Dhakad and R. C. Gurjar, A Wide Tuning Range Voltage Controlled Ring Oscillator Using Injection Locking, International Conference on Recent Innovations in Signal processing and Embedded Systems (RISE), Bhopal, 2017, pp. 418-421.
Narendra Singh Dhakad and R. C. Gurjar, A Low Phase Noise VCO Using Injection Locking, International Conference on Information, Communication, Instrumentation and Control (ICICIC), Indore, 2017, pp. 1-4.
Under Review / Preprints (03)
Journal Papers (03)
Narendra Singh Dhakad and Santosh Kumar Vishvakarma, Configurable Multi-Port Memory Architecture for High Speed Data Communication, IEEE Embedded Systems Letters. Preprint
Narendra Singh Dhakad, Yuvnish Malhotra, Santosh Kumar Vishvakarma, Kaushik Roy, SHA-CNN: Scalable Hierarchical Aware Convolutional Neural Network for Edge AI, IEEE Transactions on Neural Networks and Learning Systems. Preprint
Radheshyam Sharma, Narendra Singh Dhakad, Akash Sankhe, Santosh Kumar Vishvakarma, HEART-CAM: Hybrid CMOS-RRAM Based Energy Efficient And Rapid Ternary Content Addressable Memory, Microelectronics Journal, Elsevier. Preprint
Poster
Narendra Singh Dhakad and Santosh Kumar Vishvakarma, Reconfigurable and Efficient In-Memory Computing Architecture for Edge AI: Circuit to Algorithm, 8th IEEE Electron Devices Technology and Manufacturing, March 2024. (Track: Student Research Forum) [Poster]