Muzakker

Perfection is Created through Imperfect Actions

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Hi, I’m Muzakker, a Ph.D. student in Computer Science at Iowa State University, specializing in Artificial Intelligence and Multi-Level Intermediate Representation (MLIR). My research focuses on developing optimization techniques for graph-based program representation by leveraging control flow graphs (CFGs) and data flow graphs (DFGs).

Previously, I worked remotely as an IT Consultant at Titan ICT, developing deep learning models for audio analytics and AI-driven workflow solutions. I also served as a Research Assistant under the supervision of Prof. Md. Kishor Morol, where I worked on dataset imbalance handling and medical image analysis using CNN models.

I’m an avid day-dreamer, and when not day-dreaming, I usually do my coursework, TA duties, or research and sometimes fifa. Lastly I’ll quote Dumbledore,

“Happiness can be found, even in the darkest of times, if one only remembers to turn on the light.” (And if you don’t have a light, seek out someone who does and share their brightness.)

news

Mar 19, 2023 Received The Vice Chancellor Award and Summa Cum Laude
Jun 9, 2022 Made it to the Final of Blockchain Olympiad Bangladesh 2022
Apr 20, 2022 Birthday of this digital space.
Dec 13, 2021 Received Certification of Participation for presenting a paper in the International Conference on 4IR and Beyond (IC4IR, 2021) as a first author.
Jun 30, 2021 Received the Gold award for the Duke of Edinburgh's International Award.
Dec 19, 2019 Awarded Dean’s List Honors again for the academic performance of Spring-19 semester.
May 23, 2019 Awarded Dean’s List Honors of CS Department in recognition of outstanding academic performance for the Fall-18 semester.
Nov 28, 2018 Awarded Undergraduate Entrance Scholarship (ranked 4th), see full list

selected publications

  1. Springer
    Approaches for Improving the Performance of Fake News Detection in Bangla: Imbalance Handling and Model Stacking
    In Proceedings of International Conference on Fourth Industrial Revolution and Beyond 2021. 2022
  2. IEEE
    A Study on Future Lockdown Predictions using ANN
    In International Conference on Next-Generation Computing, IoT and Machine Learning (NCIM) 2023
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