DEPARTMENT.FACULTY

photo
Dr. Mohd Tausif
  • DEPARTMENT_STAFF.QUALIFICATION

    PhD, M. Tech, B. Tech

  • DEPARTMENT_STAFF.DESIGNATION

    Assistant Professor

  • DEPARTMENT_STAFF.THRUST_AREA

    Image Processing for IoT/ Wearable sensors, Artificial Intelligence, Holographic image coding

  • DEPARTMENT_STAFF.ADDRESS

    114, Mirzahadipura, Mau Nath Bhanjan, Mau, UP, India-275101

  • DEPARTMENT_STAFF.MOBILE

  • DEPARTMENT_STAFF.EMAIL

    mohdtausif@zhcet.ac.in

  • DEPARTMENT_STAFF.TIME_TABLE

    Time Table

DEPARTMENT_STAFF.COMPLETE_CV

 

Mohd Tausif holds a Postdoctoral research experience from the Cloud Computing Competence Center, University of Beira Interior, Covilha, Portugal in the field of Holography. He received his PhD degree from the Department of Electronics Engineering, Aligarh Muslim University, Aligarh, India in 2019. The PhD research work was focused on developing low-memory and low-complexity image coders (algorithms and architectures) for low-cost visual sensor nodes used in Wireless Multimedia Sensor Networks/ Internet of Things/ Wearable devices. He has published twelve papers in referred journals and conferences. His research area includes Signal processing, Image processing for resource-constrained platforms, Holography, Identification codes, and wearable devices. 


 

  1. M. Tausif, E. Khan, and A. Pinheiro, “Computationally efficient wavelet-based low memory image coder for WMSNs/IoT”, Multidimensional Systems and Signal Processing, May 2023.
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  2. M. Tausif, A. Jain, E. Khan, and M. Hasan, “Memory-efficient architecture for FrWF-based DWT of high-resolution images for IoMT applications,” Multimedia Tools and Applications, 80, pp. 11177–11199, Mar. 2021.
  3. M. Tausif, E. Khan, M. Hasan, and M. Reisslein, “Lifting-Based Fractional Wavelet Filter: Energy-Efficient DWT Architecture for Low-Cost Wearable Sensors,” Advances in Multimedia, Vol. 2020, pp. 1-13, Dec. 2020.
  4. M. Tausif, A. Jain, E. Khan, and M. Hasan, “Low Memory Architectures of Fractional Wavelet Filter for Low-Cost Visual Sensors and Wearable Devices,” IEEE Sensors Journal, vol. 20, no. 13, pp. 6863-6871, Jul., 2020.
  5. M. Tausif, N. R. Kidwai, E. Khan, and M. Reisslein, “FrWF-based LMBTC: Memory Efficient Image Coding for Visual Sensors,” IEEE Sensors Journal, Vol. 15, No. 11, pp. 6218-6228, Nov. 2015.
  6. M. Tausif, E. Khan, M. Hasan, and M. Reisslein, “SMFrWF: Segmented Modified Fractional Wavelet Filter: Fast Low-Memory Discrete Wavelet Transform (DWT),” IEEE Access, vol. 7, issue 1, pp. 84448-84467, Dec. 2019.
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