Dr. Nishatul Majid specializes in machine learning, image processing, with a particular
emphasis on offline handwriting recognition and document processing. With over 14
years of academic experience, he has worked at various institutions, including Fort
Lewis College and the University of Dhaka. Dr. Majid is actively involved in collaborative
research, curriculum development and mentoring students. He also has expertise in
mobile app development, including iOS applications for educational and training purposes.
Nishatul Majid, Elisa H. Barney Smith, Character Spotting and Autonomous Tagging:
Offline Handwriting “Recognition for Bangla, Korean and other Alphabetic Scripts”,
International Journal on Document Analysis and Recognition (IJDAR), 2022.
Nishatul Majid, Owen Eicher, “Digitization of Handwritten Chess Scoresheets with a
BiLSTM Network”, MDPI Journal of Imaging, Special issue Mobile camera-based Image
and Video Processing, 2022.
Owen Eicher, Denzel Farmer, Yiyan Li, Nishatul Majid, ”Handwritten Chess Scoresheet
Recognition Using a Convolutional BiLSTM Network”, in 9th International Workshop on
Camera-Based Document Analysis and Recognition (CBDAR), 2021
Kukula, Kaitlyn, Denzel Farmer, Jesse Duran, Nishatul Majid, Christie Chatterley,
Jeff Jessing, Yiyan Li, "Rapid Detection of Bacteria Using Raman Spectroscopy and
Deep Learning”, 2021 IEEE 11th Annual Computing and Communication Workshop and Conference
(CCWC). IEEE, 2021.
N. Majid and E. H. Barney Smith, “Segmentation-free Bangla offline handwriting recognition
using sequential detection of characters and diacritics with a Faster R-CNN”, in International
Conference on Document Analysis and Recognition (ICDAR). IEEE, 2019.
N. Majid and E. H. Barney Smith, “Performance comparison of scanner and camera-acquired
data for Bangla offline handwriting recognition”, in 8th International Workshop on
Camera-Based Document Analysis and Recognition (CBDAR), 2019.
N. Majid and E. H. Barney Smith, “Introducing the Boise State Bangla Handwriting dataset
and an efficient offline recognizer of isolated Bangla characters”, in 2018 16th International
Conference on Frontiers in Handwriting Recognition (ICFHR). IEEE, 2018, pp. 380–385.
N. Majid and E. H. Barney Smith, “Boise State Bangla Handwriting Dataset”, Signal
and Image Processing Lab, https://doi.org/10.18122/saipl/1/boisestate, 2018.
N. Majid and T. Bably, “Proposition of a Language Learning Procedure for Artificial
Intelligence to Enhance Basic Communication Skill”, ULAB Journal of Science and Engineering
(UJSE) (ISSN: 2079-4398), Vol. 3, No. 1, November 2012, PP. 7-11.
A. U. Alam, N. Majid and S. K. Aditya, “Layout Design of a 2-bit Binary Parallel Ripple
Carry Adder Using CMOS NAND Gates with Microwind”, A, January 2012, PP. 103-108.
N. Majid and S. K. Aditya, “Proposition of a Multipurpose Quantum Gate Capable of
Computing All Elementary 1-bit and 2-bit Logical Operations”, Dhaka University Journal
of Applied Science and Engineering (DUJASE) (ISSN: 2218-7413), Vol. 1, No. 2, January
2011, PP. 115-120.
N. Majid, S. Saha and S. K. Aditya, “Design of Shift Register Counter using Quantum
Principle”, Dhaka University Journal of Science (DUJS) (ISSN: 1022-2502), Vol. 58,
No. 2, July 2010, PP. 319-324.
Tasnubha Bably and Nishatul Majid, “Use of Realia and ICT makes a Language Class Dynamic
and Successful”, 16th NELTA International Conference, Kathmandu, Nepal, February 2011.
Nishatul Majid and Tasnubha Bably, “Language for the Artificial Intelligence”, First
Asian EFL/ESL Conference, Udaipur Vidyapeeth University, Udaipur, Rajasthan, India,
November 2009.
Tasnubha Bably and Nishatul Majid, “An Integrated Subroutine can Complete the Existing
Foreign Language Learning Processes”, First Asian EFL/ESL Conference, Udaipur Vidyapeeth
University, Udaipur, Rajasthan, India, November 2009.
