Afroza Rahman

Gold Medalist || Researcher

ABOUT ME

I am Afroza Rahman, a PhD student specializing in Artificial Intelligence with extensive experience in Machine Learning, Computer Vision, and Image Processing. Holding a Bachelor's degree in Computer Science and Engineering, I bring a solid foundation and a strong skill set to my research and professional endeavours.


Skills:


AI & Machine Learning: Algorithm development, deep learning (TensorFlow, PyTorch), NLP.

Computer Vision: Image processing, object detection, Python, MATLAB.

Data Analysis: Excel, statistical analysis (R, SPSS), data visualization (Tableau, Power BI).

Programming: Python, MATLAB, Java, C++, SQL.

Scientific Communication: LaTeX, academic writing.



Strengths:


Research & Development: Conducting research, publishing, presenting.

Collaboration: Teamwork, interdisciplinary projects.

Project Management: Independent project execution, time management.

Continuous Learning: Staying current with technological advancements.

EDUCATION

  • Ph.D. via MPhil Architecture, Computing & Engineering Jan 2024 - Present

        University of East London (UEL), University Way, London, E16 2RD, United Kingdom.

  • B.Sc. in Computer Science and Engineering Mar 2016 - Jun 2020

        Thesis: AutiLife: A Healthcare Monitoring System for Autism Center in 5G Cellular Network using Machine Learning Approach.

        CGPA: 3.99 out of 4.00

        Merit Position 1st in the Department of Computer Science and Engineering.

        University of Asia Pacific (UAP), Dhaka, Bangladesh.

Experience

Lecturer(hpl), University of East London (UEL)                                                     Aug 2024-Continue


  • Course CN7041 - The Fundamental of Artificial Intelligence
  • Course CN7039 - Software Engineering 
  • Course cn6000 - Final year project(UG)


Conference Secretary, (ICIEV)2023 Conference                                                                             Jul 2024 - Aug 2024


  • Collect and organise submissions from authors.
  • Review and edit submissions for publication.


Conference Coordinator, (ICIEV)2023 & (IVPR)2023 Conference                       Jul 2024 - Aug 2024


  • Collect and organise submissions from authors.
  • Review and edit submissions for publication.

Research Assistant (RA), University of East London (UEL)                                  Apr 2024 - Jun 2024


  • UKRI Innovate UK funded project
  • CyberASAP 2024: MetaverseGuardian


Teaching Assistant (TA), University of East London (UEL)                                   Jan 2024 - Continue


  • Course CN7041 - The Fundamental of Artificial Intelligence
  • Course CN7023 - Artificial Intelligence & Machine Vision
  • LAB - Artificial Intelligence Lab
  • Assistant Supervisor of Postgraduate (MSc) students, Dept. of ACE, UEL


Researcher, Ahad Vision Lab, UEL                                                                            Sep 2023 - Dec 2023


  • Participated and volunteered at 11th International Conference on Informatics, Electronics & Vision (ICIEV) 2023,
  • Participated and volunteered at 6th International Conference on Imaging, Vision & Pattern Recognition (IVPR) 2023


Research Assistant (RA), Dept. of CSE, University of Asia Pacific (UAP)           Sep 2019 – Dec 2020


  • Machine Learning applications for Healthcare Monitoring Systems
  • 5G Vertical Applications on Smart Car, Autism Center and Factory Automation

RESEARCH PUBLICATIONS


  • Deep Learning-Based Segmentation and Feature Extraction for Bacterial Behaviour Analysis in Antimicrobial Resistance (AMR) Studies, ACE Research, Impact & Innovation Conference, University of East London 2024


  • AI-based Bacterial Behaviour Analysis Focusing Antimicrobial Resistance (AMR), Catalysing Connection: Innovation and Impactful Research for a More Equitable, healthier, Greener and Safer World, University of East London, London, UK 2024 [Abstract]





Awards

  • Presented My Full paper as Poster in Swansea University.
  • VC Gold Medal for Academic Excellence, Dept. of CSE, UAP 2024
  • Prestigious 3-Minute Thesis Winner, University of East London 2024
  • Participated in CyberASAP 2024 - UKRI Funded project.
  • IEEE Industrial Electronic Society(IES) Student & YP Paper Assistance (Finland).
  • CGPA of B.Sc. Ranked 1st in entire (39)batch
  • Total 7 times winner of the Vice-Chancellor merit awards.

VC Award - 8th semester

VC Award - 7th semester

VC Award - 6th semester

VC Award - 5th semester

VC Award - 4th semester

VC Award - 3rd semester

VC Award - 2nd semester

  • Vice-chancellor research allowance.
  • Named in the Dean’s award list.

Dean Award - 1st semester

  • 1st Runner Up at 3rd UAP Software & Hardware Carnival 2020
  • Outstanding Leadership Award, ICIEV, IVPR 2023 [Certificate]
  • Mastering Image Generation with GANs using Python and Keras [Certificate]
  • Master Academic Typesetting with LaTex [Certificate]
  • Python Best Parts: Standard Library (Beginner to Advanced) [Certificate]
  • IEEE Student Member (#ID: 97050586)
  • Catalysing Connection: Innovation and Impactful Research for a More Equitable, healthier, Greener and Safer World, University of East London, London, UK 2024
  • Training of Trainers, Data Science, Women in Engineering, HerWill 2024
  • Received Travel Grant for International Conference, ACE, UEL 2024 
  • Poster Presentation on Heatstroke Detection in  ACE, UEL
  • Abstract Presentation in ACE Conference, 2024, UEL.
  • Attended IEEE Engineering in Medicine and Biology Society SAC Summer Camp 2024
  • Abstract Presentation in PGR Conference, 2024, UEL.
  • Member of the Postgraduate Research Society, supporting women's research activities
  • Crest Award for getting GPA-5 in Secondary School Certificate
  • Inter-school debate championship
  • Merit Medal Achiever
  • Topper - Class 10 Scholarship study 
  • Asadullah Memorial Talent Pool Scholarship
  • Merit position 2nd - Class 9
  • Afzal Hossain Memorial Scholarship
  • Merit position 3rd - class 8
  • Achieved 2nd position for Eassy Writing