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Editor in Chief’s Profile

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Dr. Brajesh Kumar Kaushik

Designation : Professor

Affiliation : Indian Institute of Technology, Roorkee Uttarakhand, India,

Expertise: High-speed interconnects; Emerging materials based device circuit co-design; Optics & photonics based devices and sensors; Image processing hardware; Spintronics-based devices and circuits; Quantum and Neuromorphic computing; Artificial Intelligence

Institution Profile Link : http://ece.iitr.ac.in/brajesh_kumar_kaushik

Offical Email :

Role: Editor in Chief

Journal: Journal of VLSI Design Tools and Technology

About Me

Professor in Department of Electronics and Communication Engineering at
Indian Institute of Technology, Roorkee, Uttarakhand, India
My expertise are High-speed interconnects; Emerging materials based device circuit co-design; Optics & photonics based devices and sensors; Image processing hardware; Spintronics-based devices and circuits; Quantum and Neuromorphic computing; Artificial Intelligence

Recent Publications

  1. Hemkant Nehete, Gaurav Verma, Shailendra Yadav, Brajesh Kumar Kaushik. Accelerating sparse convolutional neural networks with systolic arrays on FPGA. Proceedings Volume 12675, Applications of Machine Learning 2023; 126750Y (2023). SPIE Optical Engineering + Applications, 2023, San Diego, California, United States.SPIE Digital Library. https://doi.org/10.1117/12.2676783
  2. M. Sankush Krishna, Sangeeta Singh, Brajesh Kumar Kaushik. Edge tailored MgO nanoribbon for negative differential resistance/nanointerconnect applications. Computational Materials Science. Volume 231, 5 January 2024, 112570. https://doi.org/10.1016/j.commatsci.2023.112570
  3. Alok Kumar Shukla, Sandeep Soni and Brajesh Kumar Kaushik. High radiation tolerant SOT-MRAM read peripheral circuit with fast data recovery. 1 November 2023. Physica Scripta, Volume 98, Number 12. https://iopscience.iop.org/article/10.1088/1402-4896/ad032d/meta
  4. Sreevatsan Rangaprasad, Vinod Kumar Joshi, Brajesh Kumar Kaushik. A fully non-volatile reconfigurable magnetic decoder. Microelectronics Journal. Volume 141, November 2023, 105956. https://doi.org/10.1016/j.mejo.2023.105956
  5. G. Verma, A. Nisar, S. Dhull and B. K. Kaushik, Neuromorphic Accelerator for Spiking Neural Network Using SOT-MRAM Crossbar Array in IEEE Transactions on Electron Devices, vol. 70, no. 11, pp. 6012-6020, Nov. 2023. https://ieeexplore.ieee.org/document/10272308