Modern More, R. K. Road, Rangpur-5404 +880 1894 40 22 22

Profile of the

Teaching Assistant

Nishat Tabassum Nishe

Teaching Assistant

Teesta University, Rangpur-5404, Bangladesh.

Phone+8801521552219

Emailnishe@teestauniversity.ac.bd

Nishat Tabassum Nishe
Teaching Assistant

I am an M.Sc. student in Electrical and Electronic Engineering at Begum Rokeya University, Rangpur
with a primary focus on wireless communications and network optimization. My research integrates
hybrid deep learning frameworks to develop high-precision predictive models for indoor WLAN
performance. By advancing beyond conventional empirical methods, my work aims to enhance the
reliability and design of modern telecommunication systems. I have also shared my findings at
academic symposiums, presenting on the use of deep learning for high-precision throughput prediction.
With the ultimate goal of pursuing a career in academic teaching.

2025 – Ongoing
(Expected completion:
June 2026)
M.Sc. in Electrical and Electronic Engineering (EEE)
Begum Rokeya University, Rangpur
SGPA: 3.81 out of 4
Mar 2018 - Mar 2025 B.Sc. in Electrical and Electronic Engineering (EEE)
Begum Rokeya University, Rangpur
CGPA: 3.82 out of 4 (Secured 2nd position on Department)
Apr 2016 – Feb 2017 Higher Secondary Certificate: Science
Cantonment Public School & College - Rangpur
GPA: 5.0
Jan 2008 – Feb 2015 Secondary School Certificate: Science
Natore Govt. Girls' High School - Natore
GPA: 5.0

Experience information will be published soon.

Research experience information will be published soon.

1. Tanmoy Datta; Nishat Tabassum Nishe; Sumon Kumar Debnath; Iffat Ara Badhan; Dr. Prodip
Kumar Sarker, " Data-Driven RSS and Throughput Prediction Modeling for Indoor IEEE
802.11ac WLANs Using Hybrid Deep Learning Frameworks," Digital Signal Processing,
Elsevier, (Under Review).
2. Iffat Ara Badhan; Tanmoy Datta; Assaduzzaman .; Nur-A-Alam Asif; Nishat Tabassum
Nishe; Omar Faruk; Prodip Kumar Sarker; Marjia Sultana; Dr. Sumon Kumar Debnath “Real-
Time Recognition of Bangla Sign Language Words Using Deep Learning: A Comparative
Analysis of Object Detection Models", International Journal of Systems Assurance Engineering
and Management (IJSA), (Under Review)

Conference
“Beyond Empirical Models: Leveraging Deep Learning for High-Precision Throughput Prediction in
IEEE 802.11ac WLANs”, IEEE CS BDC Summer Symposium 2025.

 National Science and Technology (NST) Fellowship, 2025
 Merit Scholarship 2022 from University Grants Commission of Bangladesh (UGC)
 Awarded Bronze Medal in 6th Bangabandhu President Cup Fencing Championship_2020
(22nd to 24th Dec,2020)
 Participated in Bangabandhu 9th Bangladesh Games 2020 (01-10th, April 2021)
 Bangabandhu Merit Scholarship [2019,2020,2021] from University Grants Commission
of Bangladesh (UGC)

Teaching and supervision information will be published soon.

Research interest information will be published soon.