PROFILE INFO

Musarrat Nipun

Ai Expert


Education

Masters of Business Administration – 2020-2022

Global MBA – York St. John University

  • Key Modules: Accounting & Finance for Decision Making, Digital Marketing & Data Analytics, Global Business Studies, Business Development & Value Creation, Dynamic Perspective on Sustainable Business, Leading Innovation and Cultural Change

MSc in Computer Science – 2018-2019

University of Bedfordshire

  • Completed MSc in Computer Science with a keen interest in cyber-security, AI, ML, and Data Mining. [with Distinction]

 

BSc in Computer Science – 2010-2015

North South University

  • Key Modules: Operating System, Data Structure, Algorithm, Networking, Programming Language: C, C++, Java
  • Dissertation- A Complete Health Care Solution for Child & Adult
  • Award- Journal Best Paper award in 11th Global Engineering, Science and Technology Conference, 18-19 December, 2015, Dhaka-Bangladesh

 

  • Islam, S. A. Shuvo, M. S. Nipun, R. Bin Sulaiman, M. M. Shaikh, J. Nayeem, Z. Haque, M. S. Sourav, and A. Kareem, “Efficient approach to using CNN-based pre-trained models in Bangla handwritten digit recognition,” Computational Vision and Bio-Inspired Computing, pp. 697–716, 2023.
  • Kareem and R. B. Sulaiman, “Applications of Blockchain Technology and Related Security Threats,” Security Engineering for Embedded and Cyber-Physical Systems, pp. 99–110, Jun. 2022, doi: 10.1201/9781003278207-7.
  • Bin Sulaiman, A. Kareem, and M. U. Farooq, “Algorithms and Security Concern in Blockchain Technology,” Security Engineering for Embedded and Cyber-Physical Systems, pp. 3–24, Jun. 2022, doi: 10.1201/9781003278207-2.
  • S. Nipun, R. B. Sulaiman, and A. Kareem, “Efficiency Comparison of AI classification algorithms for Image Detection and Recognition in Real-time,” arXiv:2206.05842 [cs], Jun. 2022, Accessed: Sep. 18, 2022. [Online]. Available: https://arxiv.org/abs/2206.05842
  • Yousuf, R. B. Sulaiman, and M. S. Nipun, “A novel approach to increase scalability while training machine learning algorithms using Bfloat 16 in credit card fraud detection,” arXiv:2206.12415 [cs], Jun. 2022, Accessed: Sep. 18, 2022. [Online]. Available: https://arxiv.org/abs/2206.12415
  • Artificial Intelligence (AI)
  • Computer Vision (CV)
  • Machine Learning (ML)
  • Deep Learning (DL)
  • System Security
  • Access Control

RESEARCH ACTIVITIES

  • Researher at “STEMresearch.ai”

Lecturer – Brunel University London                                                             September 2022 – Present

  • Teaching Computing Modules: Information Assurance and Risk Management, Information Governance & Cyber Security, Database and Analytics Principles and Leadership in the Digital Age, AI for IoT, Big Data, Mobile and web application security and Ethical Hacking.
  • Leading modules: Ai for IoT, Mobile and web application security, Information Assurance and Risk Management.
  • Assessing students’ assessments for multiple modules, coursework, assignments, examinations, and project work.
  • Improving and Developing modules: AI for IoT, Big Data, Mobile and web application security.
  • Nominee of Student Led Teaching Award 2023 – Northumbria University 

Lecturer – Arden University                                                          June 2022 – May 2023

  • Teaching Computing Modules like Data Analytics, Digital Skills and Knowledge and Information Management
  • Assessing students’ assessments for multiple modules, coursework, assignments, examinations, and project work.
  • Supervising 20+ Masters level students and grading assignments.