Department of Computer Science & Engineering (CSE)

CONTACT INFORMATION

Name: Tasnim Ullah Shakib

Email:  tasnim@cse.mist.ac.bd

  Room No:

  314, 3^rd Floor, Faculty of Electrical & Computer Engineering (FECE) Tower – 3, MIST.

  Mirpur Cantonment, Dhaka-1216, Bangladesh.

 

PROFESSIONAL EXPERIENCE

• Lecturer, Department of CSE, Military Institute of Science & Technology (MIST)
  • Duration: April 2024 – Present
• Industrial Attachment Trainee, Brain Station 23 PLC.
  • Duration: January 2023 – February 2023

 

ACADEMIC EXPERIENCE

• B.Sc. in Computer Science and Engineering (CSE)
  • Military Institute of Science & Technology
  • Date of Graduation: March 2024

 

AWARDS/ HONORS

• 2^nd Runners up in Anatolian Rover Challenge (ARC) 2022, Istanbul, Turkiye
• 19^th Position in the Fundamental IT Engineer Examination (FE) of Information Technology Engineers Examination (ITEE) conducted by Bangladesh Computer Council (BCC) in October 2023
• 1^st Runners up in Poster Presentation Contest in Environment Mega Fest arranged by MIST Environment Club in celebration of World Environment Day 2023
• 2^nd Runners up in Calculus Bee arranged by MIST Math Olympiad Club
• Band 7.5 on IELTS (appeared in 2019)
• MIST Dean’s List of honor – 2023
• MIST Dean’s List of honor – 2022
• MIST Dean’s List of honor – 2021
• MIST Dean’s List of honor – 2020

ACADEMIC PROJECTS

• • Flood Detection and Flooded Area Segmentation using Ensemble Machine Learning and Deep Learning Approaches (B.Sc. Thesis)
    • Technologies used: Scikit Learn classifiers, Tabular GAN, Transfer learning CNN architectures, Ensemble classifier, UNET segmentation model, Streamlit
  • Hydroferma: A ML-based Hydroponic Vertical Farm Monitoring System (Capstone Project)
    • Technologies used: ANN, MobileNetV2, Arduino, NodeMCU, Firebase, Flutter
  • Unlocking Voices: Evaluation of the Usability & Accessibility of Mobile Applications for Stutter Reduction and Communication Enhancement in Children
  • Unraveling the Threads: A Comparative Research of Jamdani and Non-Jamdani Fabric Classification using Deep Learning
  • PPDHero: A Platform to Empower New Mothers & Raise Awareness about Postpartum Depression
  • The Last of Us: Post-apocalyptic World Simulation using Blender
  • Real-Estate Management using Oracle
  • AlgoRhythm: An offline judge using JAVA GUI
  • Explora: A space exploration based front end website
  • Conveyor Belt Infrared Counter using Arduino
  • 4-bit ALU Design
  • Simple 4-bit Microprocessor Design

 

NON-ACADEMIC PROJECTS

Subscriptia: An e-commerce-based web application using Django framework

 

RESEARCH INTERESTS

Research Domain: Machine Learning, Computer Vision, Human-Computer Interaction

 

TECHNICAL SKILLS

Programming Language                        C/C++, Python, Java, MATLAB, Assembly

Database and Backend                           Oracle, PHP

Tools                                                                     Google Colab, Visual Studio, CodeBlocks, Eclipse,Git

Simulator                                                 Cisco Packet Tracer, Proteus

Scripting & Modelling                            HTML, CSS, Shell Script, LATEX

Graphics                                                             OpenGL, Blender

 

PUBLICATIONS

• • • T. U. Shakib, E. Yasi, T. H. Rizu and N. Sharmin, "Tabular Generative Adversarial Networks (TabGANs) for Flood Forecasting from Meteorological data," 2023 26th International Conference on Computer and Information Technology (ICCIT), Cox's Bazar, Bangladesh, 2023, pp. 1-6, doi: 10.1109/ICCIT60459.2023.10441391
• • • T. U. Shakib, E. Yasi, T. H. Rizu and N. Sharmin, "An interactive flood forecasting tool with ensemble-based machine learning model: A Bangladesh Perspective," 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), Delhi, India, 2023, pp. 1-7, doi: 10.1109/ICCCNT56998.2023.10306471
• • • Sara, T.A., Nazifa, S.N., Tasneem, S., Shakib, T.U., Islam, M.N., "PPDHero: Requirements Elicitation and Development of a System to Empower new Mothers on Postpartum Depression," 23rd ISDA, Springer, Olten, Switzerland. (In press)

 

TEACHING EXPERIENCE

                        Theory Courses:

1. CSE 275: Computer Programming Language

Sessional Courses:

1. CSE 276: Computer Programming Language Sessional