Mahmuda Khatun

Faculty Member image

Mahmuda Khatun

Assistant Professor

Comilla University
Comilla University
Cumilla-3506, Bangladesh

nishucse03@gmail.com
01686006797

Mahmuda Khatun, a faculty member of the Faculty of Engineering, Comilla University, Bangladesh, is currently working as a Lecturer at the department of Computer Science and Engineering. She has completed her B.Sc.(Hons) in Computer Science and Engineering from Jahangirnagar University, Savar, Dhaka in 2016 and M.Sc. from the same university in 2018. Her teaching experience includes different graduate(M.Sc.) and under graduate courses. She worked as an Assistant Programmer in National Board of Revenue (NBR) under the Internal Resources Division (IRD) of the Ministry of Finance (MoF) from Nov'17 to March'19. Her current research interest includes Wireless Communication, Machine Learning, Computer Vision, Network Security, Data Mining, Artificial Intelligence and Image Processing.

M.Sc. Jahangirnagar University, Savar, Dhaka-1342 Computer Science and Engineering -2018
B.Sc. Jahangirnagar University, Savar, Dhaka-1342 Computer Science and Engineering -2016
Higher Secondary Certificate (HSC) Holy Cross College, Tejgaon, Dhaka-1000 Science -2010
School Secondary Certificate (SSC) Mirpur Bangla High School, Pallabi Thana, Dhaka-1216 Science -2008

Department of Computer Science & Engineering, Comilla University, Bangladesh
Lecturer
March 2019 - Present


National Board of Revenue (NBR), Internal Resources Division (IRD), Ministry of Finance (MoF)
Assistant Programmer
November 2017 - March 2017


1. Object Detection using Template and HOG Feature Matching

July 2020
11(7):233-238, July-2020. ISSN:2156-5570


2. Improvised Technique for Analyzing Data and Detecting Terrorist Attack Using Machine Learning Approach based on Twitter Data


8(7):50-62


3. A Procedure to Prevent Confidential Information Leakage of Government Organizations in Bangladesh using ISAKMP Cryptographic Technique

January 2020
Volume-9 Issue-4,


4. Automatic Student Attendance System using Face Recognition


9(3):3264-3269, February-2020. ISSN:2249-8958


Performance Analysis of OFDM System on Multipath Fading and Inter Symbol Interference (ISI) Using AWGN


Abu Sayed, Mahmuda Khatun, Tasniya Ahmed, Antara Anika Piya, Partha Chakraborty and Tanupriya Choudhury. "Performance Analysis of OFDM System on Multipath Fading and Inter Symbol Interference (ISI) Using AWGN". In: Das A.K., Nayak J., Naik B., Dutta S., Pelusi D. (eds) Computational Intelligence in Pattern Recognition. Advances in Intelligent Systems and Computing, vol 1349. Springer, Singapore. https://doi.org/10.1007/978-981-16-2543-5_3, Print ISBN: 978-981-16-2542-8, Online ISBN: 978-981-16-2543-5.


Reliable Identity Management System Using Raspberry PI


Md. Rakib Hasan, Partha Chakraborty, Mahmuda Khatun, Aditi Sarker, Kawshik Banerjee, Tanupriya Choudhury, Mohammad Abu Yousuf and Mohammad Zahidur Rahman. "Reliable Identity Management System Using Raspberry PI". Publisher IEEE, IEEE Copyright Code: 978-1-7281-9576-6/20/$31.00 ©2020 IEEE, Electronic ISBN:978-0-7381-4246-3, USB ISBN:978-0-7381-4245-6 Print on Demand(PoD) ISBN:978-0-7381-4247-0, DOI: 10.1109/STI50764.2020.9350462


Image Classification of Face Mask and Face Shield Using CNN In the Era of COVID-19


Mahmuda Khatun, Md. Rakib Mia, Sabikun Nahar Tafhim, Partha Chakraborty, Md. Rakib Hasan, Tasniya Ahmed, Marjia Sultana and Aditi Sarker. "Image Classification of Face Mask and Face Shield Using CNN In the Era of COVID-19". IEEE CSBDC Winter Symposium 2020, IEEE Computer Society Bangladesh Chapter, 13-14 Nov 2020


Secrecy Capacity via Cooperative Transmitting under Rayleigh and Nakagami-m Fading Channel


Mahmuda Khatun, Md. Imdadul Islam, Partha Chakraborty, Tasniya Ahmed, Aditi Sarker, Md. Shamim -Ul-Islam. "Secrecy Capacity via Cooperative Transmitting under Rayleigh and Nakagami-m Fading Channel". IEEE Region 10 Symposium (TENSYMP). Date of Conference: 5-7 June 2020, DOI: 10.1109/TENSYMP50017.2020.9230615, Date Added to IEEE Xplore: 02 November 2020, Publisher: IEEE, Electronic ISBN:978-1-7281-7366-5, Print on Demand(PoD) ISBN:978-1-7281-7367-2, Electronic ISSN: 2642-6102 Print on Demand(PoD) ISSN: 2640-821X, Conference Location: Dhaka, Bangladesh


Analysis of Texture Feature Extraction Technique in Image Processing


https://cou.ac.bd/cse/mk#:~:text=Indexed%20by%20SCOPUS)-,Partha%20Chakraborty%2C%20Mohammad%20Abu%20Yousuf%2C%20Saidul%20Islam%2C%20Mahmuda%20Khatun%2C%20Aditi,3%2D030%2D64257%2D0%20Series%2C%20ISSN%3A%202662%2D3706%2C%20Edition%20Number%3A%201,-.%20Details


Wireless Communication   Machine Learning   Computer Vision   Network Security   Data Mining   Artificial Intelligence   Image Processing