Team Details

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Md. Shakil Hossain

B.Sc. Graduate | Computer Science & Engineering

Research Assistant

Contact:

Advanced Machine Intelligence Research Lab
(AMIRL), Block-B, Banani. Dhaka-1213, Bangladesh

E-mail:
shakilhosen3.1416@gmail.com
Telephone:

Office:
Cell:

Publication Profile:
Google Scholar Research Gate
Web Page & Social Link:
Web Page Github LinkedIn Kaggle

Bangladesh University of Business & Technology
B.Sc. in Computer Science
Feb 2018 – Sept 2022
GPA: 2.86/4.0
Relevant Coursework: Data Structures & Algorithms, Database Management, Linear Algebra, Calculus, Artificial Intelligence, Internet of Things, Machine Learning, Neural Networks, Pattern Recognition, Statistics

A results-driven professional with expertise in humanoid robotics, AI solutions, and data analytics, supported by over five years of experience in developing innovative technologies. Proficient in designing educational robots, IoT-based precision systems, and implementing advanced language processing capabilities. Recognized for im pactful contributions through high-impact publications, global certifications, and accomplishments in innovation competitions. Committed to leveraging advanced technical skills and research expertise to deliver transformative solutions in dynamic environments.

 

  1. TransNet: Deep Attentional Hybrid Transformer for Arabic Posts Classification
    DOI: 10.1109/ACCESS.2024.3441323

  2. Bengali Cyberbullying: Detection, Categorization, and Gender Bias Analysis
    Status: Accepted

  3. Detecting Bengali Fake News: A Comparative Study of CNN, BiLSTM, BiGRU, and Transformer Models
    Status: Accepted

  4. A Hybrid Attention-Based Transformer Model for Arabic News Classification Using Text Embedding and Deep Learning
    DOI: 10.1109/ACCESS.2024.3522061

  5. Multi-Task Opinion-Enhanced Hybrid BERT Model for Mental Health Analysis
    Status: Accepted

Certifications and Training

  • Share Data Through the Art of Visualization (Google)
  • Google Data Analytics Capstone: Complete a Case Study
  • Process Data from Dirty to Clean
  • Identifying, Attracting, and Growing Your Digital Audience
  • Computer Vision: Object Detection with OpenCV and Python
  • MATLAB Onramp (MathWorks) — Completed 90% of the self-paced training course
  • Attention Mechanism (Google)
  • Responsible AI: Applying AI Principles with Google Cloud (Google)
  • Building a Generative AI-Ready Organization (Simplilearn — SkillUp)

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