Dr. Banhi Sanyal

Designation:    Assistant Professor
Department:    Computer Engg
Qualification:    M.Tech (NIT Agartala, 2017), Ph.D (NIT Rourkela, 2022)
Email:    banhi.sanyal@nitkkr.ac.in
Phone No:    
Area of Interest:    

Research Areas: Computer Vision, Machine Learning, Artificial Intelligence, Image Processing, NLP, Surplus Food Distribution, Smart City

Teaching Experience: Assistant Professor, KIIT University, Bhubaneswar, Odisha (January ’22 to Aug ’23)


Journals (SCI): 5, International Conferences: 5, Book Chapters: 2

Google Scholar Profile:

  1. Sanyal, B., Mohapatra, R. and Dash, R., 2023. Indian TSR for partial occlusion using GDNN. Multimedia Tools and Applications, pp.1-16.
  2.  Sanyal, B., Kumar Mohapatra, R. and Dash, R., 2022. Traffic sign recognition on Indian database using wavelet descriptors and convolutional neural network ensemble. Concurrency and Computation: Practice and Experience, 34(10), p.e6827.
  3.  Sanyal, B., Mohapatra, R.K. and Dash, R., 2021. Real-time embedded TSR using MDEffNet: An efficient compact DNN on varied multi-resolution images across multiple databases. International Journal of Wavelets, Multiresolution and Information Processing, 19(03), p.2050082.
  4.  Sanyal, S., Kumar Singh, V., Xhafa, F., Sanyal, B. and Mukhopadhyay, S., 2021. A game theoretic framework for surplus food distribution in smart cities and beyond. Applied Sciences, 11(11), p.5058.
  5.  Sanyal, S., Mukhopadhyay, S., Xhafa, F., Singh, V.K. and Sanyal, B., 2022, August. An incentive framework for surplus food distribution in the context of smart cities. In International Conference on Network-Based Information Systems (pp. 35-47). Cham: Springer International Publishing.