Love a lot and say it too.

Publications post M.Tech (2 Book chapter, 11 Journals, 8 Conference Papers) 

Scopus ID: 57215528190

Google scholar profile: https://scholar.google.com/citations?user=RThHv5UAAAAJ&hl=en

  Research gate profile: https://www.researchgate.net/profile/Gaurav-Verma-57

  i-10 index = 3, h-index = 6 with 168 citations 

  ORCID ID: 0000-0002-1393-1053

  Web of Science Researcher ID: ABB-2567-2021

 59 peer review records of 44 manuscripts

  IEEE membership : 96469635 R10 -Asia and Pacific Roorkee Subsection

  SPIE membership : 1968220

1.          V. Srivastava, R K Chauhan, A. Pandey, V L Mishra, C. Mitharwal, R S Bajpai, M Srivastava, G. Verma, R. Kumar, S. Singh, “Enhanced Sensitivity of Photodetectors with ZnSe as Electron Transport Layer and Cz-Pyr as Hole Transport Layer”, Journal of Physics and Chemistry of Solids, pp. 112712, 2025.

2.          N. V. Naga Aravind, G. Verma, S. Soni, and B. K. Kaushik, "Image Edge Extraction Using SOT-MRAM Based In-Memory Computing," 2024 IEEE Nanotech. Materials and Devices Conference (NMDC), Salt Lake City, UT, USA, 2024, pp. 197-202.

3.          G. Verma, S. Soni, A. Nisar, and B. K. Kaushik, “Multi-bit MRAM based High Performance Neuromorphic Accelerator for Image Classification” Neuromorphic Computing and Engineering, vol. 4, no. 014008, pp. 1-15, 2024. DOI 10.1088/2634-4386/ad2afa

4.          S. Shreya, G. Verma, S. N. Piramanayagam, and B. K. Kaushik, “Energy-efficient all-spin BNN using voltage-controlled spin-orbit torque device for digit recognition,” IEEE Trans. Electron Devices, vol. 68, no.1, pp. 385-392, Jan. 2021. doi: 10.1109/TED.2020.3038140

5.         G. Verma, S. Soni, A. Nisar, S. Dhull, and B. K. Kaushik, “Energy Efficient CNN Accelerator Using Voltage Gated DSHE-MRAM”, IEEE Trans. Electron Devices., vol. 72, no. 4, pp. 1715-1722, April 2025, doi: 10.1109/TED.2025.3537592.

6.          A. Nisar, H. Nehete, G. Verma, and B. K. Kaushik, “Hybrid multilevel STT/DSHE memory for efficient CNN training,” IEEE Trans. Electron Devices, vol. 70, no. 3, pp. 1006-1013, March 2023, doi: 10.1109/TED.2023.3236331.

7.         S. Soni, G. Verma, and B. K. Kaushik, “Energy efficient ternary computation unit using DSHE-MRAM,” IoP Semiconductor Science and Technology (SST), vol. 38, no. 2, pp. 025005, 2022, DOI 10.1088/1361-6641/acad95.

8.         S. Soni, G. Verma, H. Nehete, and B. K. Kaushik, “Energy-efficient spin-based implementation of neuromorphic functions in CNNs,” IEEE Open Journal of Nanotechnology, vol. 4, pp. 102-108, 2023, doi: 10.1109/OJNANO.2023.3261959.

9.         G. Verma, A. Nisar, S. Dhull, and B. K. Kaushik, “Neuromorphic accelerator for spiking neural networks using SOT-MRAM crossbars,” IEEE Trans. Electron Devices, vol. 70, no. 11, pp. 6012-6020, Nov. 2023, doi: 10.1109/TED.2023.3317357.

10.      G. Verma, S. Soni, and B. K. Kaushik, “Spin device-based image edge detection architecture for neuromorphic computing,” IoP Nanotechnology, vol. 35, no. 5, pp. 055201, 2023, DOI 10.1088/1361-6528/ad0056.

11.      G. Verma, N. Bindal, A. Nisar, S. Dhull, and B. K. Kaushik, “Advances in Neuromorphic Spin-Based Spiking Neural Networks: A Review,” IEEE Nanotechnology Magazine, vol. 15, no. 5, pp. 33-44, Oct. 2021, doi: 10.1109/MNANO.2021.3098219.

12.      S. Mittal, G. Verma, B. K. Kaushik, and F. Khanday, “A Survey of SRAM-based In-Memory Computing Techniques and Applications,” Journal of Systems Architecture, vol. 119, no. 4, pp. 1-54, 2021. https://doi.org/10.1016/j.sysarc.2021.102276

13.      G. Verma, A. Prajapati, N. Bindal, and B. K. Kaushik, “Comparative analysis of spin-based memories for neuromorphic computing,” in Proc. SPIE International Symposium on Nanoscience + Engineering, Spintronics XIII, San Diego, CA, USA, vol. 11470, 20 Aug 2020, https://doi.org/10.1117/12.2568378

14.      H. Nehete, G. Verma, A. Gupta, P. Kaushik, and B. K. Kaushik, “FPGA based CNN accelerator for high-speed biomedical application,” in Proc. High-speed biomedical imaging and spectroscopy VIII, San Francisco, California, United States, vol. 12390, pp.65-74, 16 March 2023, https://doi.org/10.1117/12.2650101

15.      A. Sehgal, G. Verma, S. Dhull, S. Roy, B. K. Kaushik, “Analysis of advanced STDP for neuromorphic computing using MRAM,” in Proc. IEEE Nanotechnology Materials and Devices Conf., Paestum, Italy, NMDC, 25 October 2023, pp. 842-847, doi: 10.1109/NMDC57951.2023.10343730.

16.      S. Soni, G. Verma, A. Kumar Shukla and B. K. Kaushik, "Energy Efficient DSHE based Analogue Multiply Accumulate Computing Crossbar Architecture," 2023 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS), Hyderabad, India, 22 Nov. 2023, pp. 21-25.

17.      A. Sharma, G. Verma and P. Kumar, "Drowsiness Detection and Classification System Design: Towards Better Road Safety," 2021 Asian Conference on Innovation in Technology (ASIANCON), Pune, India, 29 Aug. 2021, pp. 1-5, doi: 10.1109/ASIANCON51346.2021.9544641.

18.      G. Verma, C. Taluja, A K Saxena, “Vision Based Detection and Classification of Disease on Rice Crops Using Convolutional Neural Network,” 2019 International Conference on Cutting-edge Technologies in Engineering (ICon-CuTE), 15 Nov 2019, Sri Ramswaroop University, Lucknow, Uttar Pradesh, India, 10.1109/ICon-CuTE47290.2019.8991476

19.      H. Negi and G. Verma, “Design and Simulation of FinFET based Temperature Sensor” 2019 International Conference on Cutting-edge Technologies in Engineering (ICon-CuTE), 15 Nov 2019, Sri Ramswaroop University, Lucknow, Uttar Pradesh, India, 10.1109/ICon-CuTE47290.2019.8991440

20.      G. Mongia, Yashraj, S. Kumar, and G. Verma, “Mathematical modelling for high performance communication using next generation Light-Fidelity (Li-Fi) Technology,” IOSR Journal of electronics and communication engineering (IOSR-JECE), vol. 19, no. 3, pp. 33-36, 31 May 2024,IF 3.26, DOI: 10.9790/2834-1903013336

21.      G. Mongia, Himanshu, G. Verma, “Design and analysis of Li-Fi system,” International Journal of Innovative research in technology, IJIRT, vol 7, no. 6, ISSN: 2349-6002, pp. 94-100, Nov. 2020. IF 8.017.

22.      D. Jain, G. Verma, S. Dahiya, “Modeling for Improved Performance of Ultra-Fast Non-Volatile Toggle Spin Torque MRAM Cell,” SPIN, vol. 12, no. 3, pp. 1-16, 2022, IF 1.3, https://doi.org/10.1142/S2010324722500138

23.      V. Rajput and G. Verma, “Detailed Analysis of Low Power Bulk Driven Current Mirror,” 2nd Intl. Conf. on “The Smart City” Convergence, Poornima Institute of Engineering and Technology, Juni Khyat Journal, vol. 10, no. 5, 9 May 2020.

24.      A. Kumar and G. Verma, “Real-Time Text Transmission Implemented For Underwater Wireless Communication Using a LED Array”, IOSR Journal of Engineering (IOSRJEN), Vol.8, Issue 10, 26 October 2018, IF 6.6

25.      G. Verma et al. “Review on Total Variation De-Noising Algorithm for Image Processing Applications in Smart Agri-Electronics”, Conference on Agri-Smart 2018 using IoT for Driving Smart Agriculture, 19-20 November, 2018

26.      G. Verma et al. “VHDL implementation of UART Module using FSM”, IJATES, Volume No. 06, Issue No. 06, June 2018

27.      G. Verma et al. “A Practical Approach to Light Fidelity”, Paper ID-201706059, IJIRMF, Vol-3, Issue 6, June 2017

28.      G. Verma et al. “Li-Fi : A Helping Hand in Digital India Initiative”, Symposium to celebrate International year of Light, October 28, 2015

29.      G. Verma et al. “A short review on Microbial fuel cell technology and a proposed approach for generation of electricity using waste-water treatment”, IJSRD, 2nd National Conference on Student-driven Research for Inspired Learning in Science and Technology, 16-17 October, 2015.

30.      G. Verma et al. Poster presentation on Microbial Fuel Cell Technology at Innovation Conclave 2016 under the aegis of ANDC Silver Jubilee celebrations Rajatotsav, 25-26 October, 2016

31.      G. Verma et al., “An Approach for Electricity Generation using Microbial Fuel Cell Technology: A Green Energy Initiative,” Journal of Energy Research and Environmental Technology (JERET) Volume 3, Issue 2; April-June, 2016; pp. 127-130, Krishi Sanskriti Publications

32.      Paper presentation titled “Art of uplifting the scope of Microbial Fuel Cell: A Green Energy Initiative” at India International Science Festival (IISF), held at National Physics Laboratory (NPL) CSIR-NPL, HALL Abstract ID: ENER_42 (Green Energy), New Delhi, from 7 -11 December, 2016

Book Chapters

·       H. Nehete, G. Verma, A. Monga, A. K. Shukla, S. Yadav, B. K. Kaushik, “Hardware Architectures and Optimization Techniques for Convolutional Neural Network Accelerators,” in Machine Learning in Nanoelectronics: Devices, Circuits and Systems, Ed. A. Maurya, M. Singh, B. Raj, Wiley, 2024.

·       S. Soni, G. Verma, A. Nisar, S. Saini, R. S. Verma, A. K. Shukla, S. Yadav, and B. K. Kaushik, “Recent Advances in Spintronics-based Neurons for Neuromorphic Computing: Device Principles and Applications,” in Machine Learning in Nanoelectronics: Devices, Circuits and Systems, Ed. A. Maurya, M. Singh, B. Raj, Wiley, 2024.