Introduction

Dr. Sanasam Chanu Inunganbi has completed her Ph.D in Department of Computer Science and Engineering from NIT Manipur (2020) after completion of her Mtech from Indian Institute of Information Technology, Design and Manufacturing Jabalpur (2016). She is working in IIIT Manipur since August 2024, prior to which she has work for two and half years in KL University, Vijayawada and IIIT Agartala. Her research area includes, Computer Vision, pattern Recognition, AI/ML.

Qualification

  • Ph.D. in Computer Science & Engineering Department — NIT Manipur (2020)
  • M.Tech. in Computer Engineering & Engineering Department — IIIT DM Jabalpur (2016)
  • B.E. in Computer Science — College Name (Year)

Experience

  • Assisatnt Professor — IIIT Manipur (2024–Present). Academic, research and Administrative responsibility.
  • Assistant Professor — IIIT Agartala (2023–2024). Academic, research and Administrative responsibilities.
  • Assistant Professor — KL University(2020–2023). Academic, placement and research responsibilities

Publications

  1. Local texture descriptors and projection histogram based handwritten Meitei Mayek character recognition, S. Inunganbi, P Choudhary, Kh Manglem, Multimedia Tools and Applications 79.3 (2020): 2813-2836. DOI or link.
  2. Meitei Mayek handwritten dataset: compilation, segmentation, and character recognition, S. Inunganbi, P Choudhary, Kh Manglem, The Visual Computer 37.2 (2021): 291-305. DOI or link.
  3. Handwritten Meitei Mayek recognition using three-channel convolution neural network of gradients and gray, S. Inunganbi, P Choudhary, Kh Manglem, Computational Intelligence 37.1 (2021): 70-86 DOI or link.
  4. Line and word segmentation of handwritten text document by mid-point detection and gap trailing, S. Inunganbi, P Choudhary, Kh Manglem, Multimedia Tools and Applications 79.41 (2020): 30135-30150.
  5. Bangla-Meitei Mayek scripts handwritten character recognition using Convolutional Neural Network, A Hazra, P Choudhary, S Inunganbi, M Adhikari, Applied Intelligence 51.4 (2021): 2291-2311
  6. A Systematic Review on Handwritten Document Analysis and Recognition, Multimedia Tools and Applications 83.2 (2024): 5387-5413

Other

  1. Technical Program Chair Review Members - RTIP2R 2025
  2. Technical Program Chair Review Members - RTIP2R 2018