Teaching Experience

Teaching activity

I am an experienced lecturer with eight years of teaching experience across academic and professional settings. I have a strong background in supervising undergraduate and postgraduate students, supporting applied projects, and fostering students’ research and professional development.

  • Courses taught: Machine Learning & AI, Special Topic (Visual AI, Embedded Vision Systems), Mechatronics, Applied Project, Programming Fundamentals, Mathematics in Information Technology, Systems Analysis.
  • Inclusive teaching: Diploma in Organisational and Psychological-Pedagogical Foundations of Inclusive Higher Education, 2022.
  • Tertiary teaching: Compliance with the New Zealand Certificate in Adult and Tertiary Teaching confirmed, 2025.
  • Professional development: The Treaty of Waitangi, 2025.
  • Cultural capability: Te Reo Māori and Marae Protocol, 2024.

Recent News

Funding success supporting innovation in Tairāwhiti

Funding Success Supporting Innovation in Tairāwhiti.

I’m pleased to share that we have received funding from Trust Tairāwhiti to support the EIT Scholarship - Māori Economic Development.

This funding will give our students more opportunities to work on industry-relevant projects, supporting meaningful outcomes for the Tairāwhiti economy.

Applied project collaboration with Eastland Port

It’s great to see Eastern Institute of Technology Tairāwhiti students I supervise working on an Applied Project in collaboration with Eastland Port, tackling real-world challenges and applying their knowledge of embedded systems and AI in a practical industry environment.

A big thank you to our industry partners for helping create learning experiences connected with real operational needs in Tairāwhiti.

EIT and LeaderBrand meeting

I had the privilege of organising a meeting between the Eastern Institute of Technology and LeaderBrand, a leading agricultural company in New Zealand, to explore computing internships, new collaboration opportunities, and industry support for applied research.

Educational Materials

Introduction to Information Technology. Fundamentals of Intelligent Data Analysis. A. Mozhaeva, D. Egorov, 80 pages, 2021.

Introduction to Information Technology. Advanced Intelligent Data Analysis. A. Mozhaeva, A. Potashnikov, 67 pages, 2022.

Video Quality Assessment Considering the Features of the Human Visual System. A. Mozhaeva, V. Mazin, M. J. Cree, L. Streeter. Lecture Notes in Computer Science, pp. 288 – 300, 2022.

Course Design and Development

Designed and currently developing: Applied Aerospace Systems: Software, Mechatronics, and Regulation for Drones (Level 6), focused on embedded systems, drone technologies, AI, and aerospace applications for industry at the Eastern Institute of Technology, New Zealand, 2026.

Сurrently developing: Analytics for Decision Making (Level 8), integrating modern analytics, AI, and data-driven decision-making approaches for applied industry at the Eastern Institute of Technology, New Zealand, 2026.

Designed and developed: Introduction to Information Technology, implemented in the Bachelor of Infocommunication Technologies and Communication Systems at Moscow Technical University of Communications and Informatics, 2022.

Designed and developed: Advanced Intelligent Data Analysis, implemented in the Bachelor of Infocommunication Technologies and Communication Systems at Moscow Technical University of Communications and Informatics, 2022.

Reviewed and updated: Fundamental Programming, implemented in the Bachelor of Computing Systems at Eastern Institute of Technology, 2024.

Reviewed and updated: Mathematics in IT, implemented in the Bachelor of Computing Systems at Eastern Institute of Technology, 2024.

Online Courses / Tutorials

Online lecture course: Introduction to Information Technology - Data Mining. Moscow Technical University of Communications and Informatics, 2022. A 21-lecture online course introducing students to core concepts in data mining, data analysis, and applied information technology.

Machine Learning in Television, Moscow Technical University of Communications and Informatics, 2022. A tutorial for high school students in Moscow introducing machine learning applications in television technologies and future educational and career pathways.

Psychophysiological Bases of Perception of Multimedia Content, Moscow Technical University of Communications and Informatics, 2023. A tutorial introducing human perception principles relevant to telecommunications, multimedia systems, computer vision, and visual content analysis.

Computer Vision in Aerospace, Eastern Institute of Technology, presented at TŌNUI Collab, 2024. A tutorial for Tairāwhiti high school students introducing computer science, computer vision, and AI applications in aerospace technologies.

A Measurement Method and a Mathematical Model of the Human Vision System, invited plenary tutorial with Dr I. Vlasuyk, Systems of Signals Generating and Processing in the Field of On-Board Communications, 2024. An invited plenary tutorial presenting methods for measuring human visual perception and developing mathematical models for multimedia and communication systems.

STEM workshops for Gisborne Girls’ High School, Eastern Institute of Technology, 2025. Hands-on STEM workshops introducing school students to computing, electronics, engineering thinking, and applied technology pathways.

Invited guest lecture: Machine Learning for Real Industry Needs, EIT postgraduate Quantitative Methods and Analysis course, 2025. An invited postgraduate lecture presenting practical machine learning approaches and demonstrating how data-driven methods can address real industry problems.

Eastern Institute of Technology Information Days, Eastern Institute of Technology, 2024-2026. Created and presented hands-on workshops for prospective students, introducing computing, artificial intelligence, engineering, and real-world technology applications, while promoting study pathways at EIT.

STEM workshops during Gisborne Ag Hort Day Out, Ministry for Primary Industries, 2026. Delivered eight practical STEM workshops connecting computing, AI, engineering, and digital technologies with agriculture, horticulture, and regional industry needs.