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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 currently working as a Teaching Assistant at Teesta University, Rangpur. 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.

  1. Mar 2025 - July 2025 M.Sc. in Electrical and Electronic Engineering (EEE) Begum Rokeya University, Rangpur CGPA: 3.77 out of 4 (Secured 2nd position on Department)
  2. 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)
  3. Apr 2016 – Feb 2017 Higher Secondary Certificate: Science Cantonment Public School & College - Rangpur GPA: 5.0
  4. 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.

  1. National Science and Technology (NST) Fellowship, 2025
  2. Merit Scholarship 2022 from University Grants Commission of Bangladesh (UGC)
  3. Awarded Bronze Medal in 6th Bangabandhu President Cup Fencing Championship_2020(22nd to 24th Dec,2020)
  4. Participated in Bangabandhu 9th Bangladesh Games 2020 (01-10th, April 2021)
  5. Bangabandhu Merit Scholarship [2019,2020,2021] from University Grants Commissionof Bangladesh (UGC)
  • Communication Theory
  • Electronic Circuit
  • Structured Programming Language
  • Microprocessor
  • Mechanical Engineering
  • Physics
  • Wireless Communication
  • Deep Learning
  • Machine Learning