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 鈥淩ecognition for Bangla, Korean and other Alphabetic Scripts鈥,
International Journal on Document Analysis and Recognition (IJDAR), 2022.
Nishatul Majid, Owen Eicher, 鈥淒igitization of Handwritten Chess Scoresheets with a
BiLSTM Network鈥, MDPI Journal of Imaging, Special issue Mobile camera-based Image
and Video Processing, 2022.
Owen Eicher, Denzel Farmer, Yiyan Li, Nishatul Majid, 鈥滺andwritten Chess Scoresheet
Recognition Using a Convolutional BiLSTM Network鈥, 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鈥, 2021 IEEE 11th Annual Computing and Communication Workshop and Conference
(CCWC). IEEE, 2021.
N. Majid and E. H. Barney Smith, 鈥淪egmentation-free Bangla offline handwriting recognition
using sequential detection of characters and diacritics with a Faster R-CNN鈥, in International
Conference on Document Analysis and Recognition (ICDAR). IEEE, 2019.
N. Majid and E. H. Barney Smith, 鈥淧erformance comparison of scanner and camera-acquired
data for Bangla offline handwriting recognition鈥, in 8th International Workshop on
Camera-Based Document Analysis and Recognition (CBDAR), 2019.
N. Majid and E. H. Barney Smith, 鈥淚ntroducing the Boise State Bangla Handwriting dataset
and an efficient offline recognizer of isolated Bangla characters鈥, in 2018 16th International
Conference on Frontiers in Handwriting Recognition (ICFHR). IEEE, 2018, pp. 380鈥385.
N. Majid and E. H. Barney Smith, 鈥淏oise State Bangla Handwriting Dataset鈥, Signal
and Image Processing Lab, https://doi.org/10.18122/saipl/1/boisestate, 2018.
N. Majid and T. Bably, 鈥淧roposition of a Language Learning Procedure for Artificial
Intelligence to Enhance Basic Communication Skill鈥, 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, 鈥淟ayout Design of a 2-bit Binary Parallel Ripple
Carry Adder Using CMOS NAND Gates with Microwind鈥, A, January 2012, PP. 103-108.
N. Majid and S. K. Aditya, 鈥淧roposition of a Multipurpose Quantum Gate Capable of
Computing All Elementary 1-bit and 2-bit Logical Operations鈥, 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, 鈥淒esign of Shift Register Counter using Quantum
Principle鈥, Dhaka University Journal of Science (DUJS) (ISSN: 1022-2502), Vol. 58,
No. 2, July 2010, PP. 319-324.
Tasnubha Bably and Nishatul Majid, 鈥淯se of Realia and ICT makes a Language Class Dynamic
and Successful鈥, 16th NELTA International Conference, Kathmandu, Nepal, February 2011.
Nishatul Majid and Tasnubha Bably, 鈥淟anguage for the Artificial Intelligence鈥, First
Asian EFL/ESL Conference, Udaipur Vidyapeeth University, Udaipur, Rajasthan, India,
November 2009.
Tasnubha Bably and Nishatul Majid, 鈥淎n Integrated Subroutine can Complete the Existing
Foreign Language Learning Processes鈥, First Asian EFL/ESL Conference, Udaipur Vidyapeeth
University, Udaipur, Rajasthan, India, November 2009.