MIST Applications

Department of Computer Science & Engineering (CSE)

Fairooz Tasnia

Lecturer, Department of Computer Science & Engineering (CSE)

CONTACT INFORMATION

Name: Fairooz Tasnia

Email:  fairooz@cse.mist.ac.bd

Room No: 323, 3rd Floor, Faculty of Electrical & Computer Engineering (FECE) Tower – 3, MIST.

Mirpur Cantonment, Dhaka-1216, Bangladesh.

 

PROFESSIONAL EXPERIENCE

  • Industrial Attachment Trainee, Bangladesh Research and Education Network (BdREN)

                        Duration: October 2023 – November 2023

  • Lecturer, Bangladesh University of Business & Technology (BUBT)

Duration: August 2023 – December 2023

  • Faculty Member, Department of CSE, Military Institute of Science & Technology (MIST), Mirpur Cantonment, Dhaka -1216, Bangladesh

 

ACADEMIC EXPERIENCE

  • M.Sc. in Computer Science and Engineering  (JANUARY 2024 - Present)
    • Chittagong University of Engineering and Technology
  • B.Sc. in Computer Science and Engineering  (JANUARY 2018 - July, 2023)
    • Chittagong University of Engineering and Technology

 

RESEARCH EXPERIENCE

  • Member, NLP LAB, CUET (Jun 2021 - Present )

Supervisor : DR. MOHAMMED MOSHIUL HOQUE, Professor, Dept. of CSE, CUET

  • Graduate Researcher (JAN 2023 - Present )

Topic: BioNLP

  • Undergraduate Researcher (JAN 2022 - JUN 2023)

Topic: Bengali Medical Question-Answer classification

 

PROJECTS

    • MeQANet: Deep Learning-based Framework for Classifying Medical Query Answering in Bengali

Undergraduate Thesis (Jun 2022 - Jul 2023)

    • Identification of Violence-inciting Text In Bangla YouTube Comments Using Transformers

Shared Task-1, BLP Workshop@EMNLP 2023 (Aug 2023 - Sep 2023)

    • Human Resource Management System

A python project using the Django framework as academic coursework. This project is designed for the automation of the human resource management system of any company to reduce the pressure on HR. It includes a face Recognition attendance system as a feature also.

    • Educo

An online learning platform. This project includes both PHP and node.js work. This project is designed as an online learning platform that includes video lectures, a question uploads section and live video class option as its key features. This project was completed as a part of the academic work.

 

CO-CURRICULAR ACTIVITIES AND LEADERSHIP

  • Publication Secretary at CUET Computer Club (2021- 2022)
  • CUET Computer Club Member (2018-2023)
  • IEEE International Student Member (2018-2023)
  • RMA (Robo Mechatronics Association) Student Member (2018-2020)
  • 1st runner up at Poster Presentation, CSE-244: Algorithms Design and Analysis (Sessional) – (2019)
  • Volunteer at National Children Science Congress, 2018

 

CERTIFICATION

  • Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization (Coursera)
  • Neural Networks and Deep Learning (Coursera)
  • Convolutional Neural Networks (Coursera)

 

RESEARCH INTERESTS

Research Domain: Artificial Intelligence, Machine Learning, Data Science, Computer Vision, NLP, BioNLP

 

TECHNICAL SKILLS

Programming Language                        C/C++, Python

Database                                                  Oracle, MySQL

Tools                                                         Google Collab, Visual Studio, CodeBlocks, MATLAB,

                                                                  Eclipse, Git                                                    

Scripting & Modelling                           HTML, CSS, LATEX

Natural Language Processing               Preprocessing, Feature Extraction, Text Classification,                                                                                                                                                 Keras, Tensorflow, NLTK, Gensim, spaCy

 

PUBLICATIONS

      1. Classifying Textual Sentiment Using Bidirectional Encoder Representations from Transformers

International Conference on Computer and Information Technology (ICCIT 2023)

 

TEACHING EXPERIENCE

                        Theory Courses:

  1. CSE 405: Computer Interfacing

Sessional Courses:

  1. CSE 406: Computer Interfacing Sessional