Syeda Fouzia

To leverage extensive expertise as applied machine learning scientist, backed by a Doctor of Philosophy in Computer Science from Auckland University of Technology, New Zealand.

• Charity Platform for unprivileged kids
• IEEE Computer Society New Zealand
• Women in AI, STEM

• Machine Learning, Stanford University (Coursera)
• Neural Networks and Deep learning, (Coursera)
• Python 3 Specialization, (Coursera)
• SQL Server and Programming

• Higher Education Commission Pakistan Certified Master Trainer attended an extensive training workshop with 30 different modules for faculty professional development in higher education.
• Faculty Training Program by CMA Education (UK). It covered course design, teaching plan and class management, Teaching methodology and access techniques, search methodology and design, dissertation supervision, plagiarism and professional practice issues.
• Training on ensuring quality in higher education conducted by QEC Higher Education Commission Pakistan.
• Training at Huawei University, namely 'Project Management'. The major skills on which this training focus was Incident Management and Crisis Management. Activities covered Art of Project Management, Team Building & Pressure Handling Skills Presentation & Communication Skill, Crises / Conflict Management.

• 2015 Akram, M. Usman, Daniyal Usmani,Tanveer Ahmad, Sarmad Abbas, and Syeda Fouzia Noor. "Seamless Fundus image stitching using WLD to improve field of view."2015 Fifth International Conference on Digital Information and Communication Technology and its
  Applications (DICTAP), Beirut, Lebanon, 2015, pp. 106-110
• 2015 Jameel, Amina, and Fouzia Noor. "Improved multi-focus image fusion." 2015 18th International Conference on Information Fusion (Fusion), Washington, DC, USA, 2015, pp. 1346-1352
• 2018 Fouzia, S., Bell, M. and Klette, R.:Tracking of Load Handling Forklift Trucks and Pedestrians in Warehouses.New Trends in Computer Technologies and Applications. ICS 2018. Communications in Computer and Information Science, vol 1013. Springer, Singapore.
• 2019 Fouzia, S., Bell, M. and Klette, R.:Saliency Guided Data Association Measure for Multiple-Object Tracking.Esposito, C., Hong, J., Choo, KK. (eds) Pervasive Systems, Algorithms and Networks. I-SPAN 2019. Communications in Computer and Information Science, vol 1080.
  Springer, Cham.
• 2017 Fouzia, S., Bell, M. and Klette, R.:Deep Learning-Based Improved Object Recognition in Warehouses.In: Paul, M., Hitoshi, C., Huang, Q. (eds) Image and Video Technology. PSIVT2017. Lecture Notes in Computer Science(), vol 10749. Springer, Cham
• 2019 Fouzia, S., Bell, M. and Klette, R.:Improved Saliency-enhanced Multi-cue Correlation- filter-based Visual Tracking.Image and Video Technology. PSIVT 2019.Lecture Notes in Computer Science(), vol 11854.
• 2019 Fouzia, S., Bell, M. and Klette, R.: Comparing Trackers for Multiple Targets in Warehouses International Journal of Fuzzy Logic and Intelligent Systems 19(3): 147–157
• 2023 Fouzia, S., Alani, N. Enhancing Orchard Management: Automated Fruit Identification and 3-D Localization Using Machine-Readable Codes (Submitted)

• Mark Bell

    Group lead, perception and Navigation

    Crown Equipment New Zealand

     Email: mark.bell.nzl@gmail.com

• Professor Ian Yule
  Founder and CEO Stoneleigh Consulting New Zealand, Co-founder, Director
  MI8 Optics
  Email: ian@stoneleighconsulting.co.nz
  Cell no: +64226461193

• Dr Mark Begbie

     Senior Executive, Agritech New Zealand, 

    mark@theaccelerationfoundry.com

     Cell no: +64276212614.