Academic Experience:
1. B.Sc. in Computer Science and Engineering (CSE)
Military Institute of Science & Technology
Date of Graduation: March 2024
Awards/ Honor’s:
1.Women In Digital’s Digital Innovation Challenge for Women 2023 (2nd Runners-Up)
Our Team: MIST_Grande
2.National Collegiate Programming Contest - NCPC 2023 (145th position)
Our Team: MIST_Tatakae
3.National Girls’ Programming Contest 2022 (6th position)
Our Team: MIST_Object_Grind
4.MIST Intra Department Girls’ Programming Contest 2022 (Champion)
5. 1st Runners up in Poster Presentation Contest in Environment Mega Fest arranged by MIST Environment Club in celebration of World Environment Day 2023
Academic Projects:
1. AutoML Tool for Flood Assessment Machine Learning Project An AutoML tool for flood assessment with the features of flood prediction and flood mapping using image segmentation. Technology: Python, Scikit-Learn classifiers, Tabular GAN, Transfer Learning, CNN architectures, UNet, and Panel. (B.Sc. Thesis)
2. BiteSaver An App for selling excess food to remove food waste. Technologies used: Figma. also build a Business model. (May 2023)
3.An IoT-based Farmer Assistive System An app will help the farmers predict required NPK values and water requirements based on soil information from different sensors built for the Integrated Design Project (IDP). Technologies used: Dart, Framework- Flutter, UI Design, Documentation, Figma (Sep 2022 – June 2023)
4.MCC Virtual Assistant An efficient club management and ranking system for the MIST Computer Club for the students. Technologies used: HTML, CSS, Javascript, PHP, SQL and XAMPP.(Mar 2022)
5. Train Up Developed a comprehensive management system for trainees during an internship at Trust Bank. Technologies used: SQL, HTML, CSS, JavaScript, Bootstrap, and PHP
6.Parking Management System An intelligent parking system for automobiles to avoid collision in garages based on a microcontroller. Technologies used: Arduino.(Mar 2022 - Jul 2022)
7.Algo Rhytm An offline problem-solving judge for judging the solutions of programming problems, will benefit students who don’t always have access to the internet. Technologies used: Java and Swing. (Sep 2021 - Dec 2021)
8.Ello Hotel A fully responsive website for booking rooms online. Technologies used: HTML, CSS, JavaScript, Firebase(Sep 2021 – Dec 2021)
Research:
Research Domain: Deep learning, Neural Networks, Generative Models, Computer Vision
Conference Publications:
1. Yasi, E., Shakib, T.U., Sharmin, N. et al. Flood and Non-Flood Image Classification using Deep Ensemble Learning. Water Resour Manage 38, 5161–5178 (2024). https://doi.org/10.1007/s11269-024-03906-9
2.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
3.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
Professional Experience:
1. Research Assistant, Department of CSE, Military Institute of Science & Technology (MIST)
Duration: October 2024 – Present
2. Software Engineer Intern, IT Division, Trust Bank Limited
Duration: January 2023 – February 2023
Technical Skills:
1. Programming Language C/C++, Python, Java, JavaScript, Assembly
2.Database Oracle, Firebase, MySQL
3.Tools CodeBlocks, Google Colab, Visual Studio,Eclipse,Git, Blender, Kaggle
4.Simulator Cisco Packet Tracer, Circuit Maker
5.Scripting & Modelling HTML, Shell Script, LATEX
6.Graphics OpenGL, Blender
