PhD in Electronics (Research in Signal Processing and Visual AI)
Senior Lecturer / Researcher
School of Computing
Faculty of Commerce and Technology
Eastern Institute of Technology
Office: PD104
290 Palmerston Road, Gisborne 4010
Email: amozhaeva@eit.ac.nz
I am a Senior Lecturer specialising in signal processing, embedded vision systems, video processing, and visual AI. With over 10 years in the tech industry and more than 8 years in academia, I bridge applied innovation with research excellence.
My work focuses on developing efficient vision systems for resource-constrained environments by integrating human visual perception, signal processing, and embedded system design, particularly for aerospace applications where real-time performance and bandwidth efficiency are critical. I work closely with industry partners to translate research into practical engineering solutions.
PhD in Electronics (Signal Processing & Visual AI)
The University of Waikato, New Zealand, 2020 - 2023
MEng, Information and Communication Technology
Moscow Technical University of Communications and Informatics, Russia, 2007 - 2009
BEng(Hons), Information and Communication Technology
Moscow Technical University of Communications and Informatics, Russia, 2003 - 2007
During her visit, Hon Penny Simmonds learned about our research on embedded vision technologies for drones, which I lead in the EIT Drone Research Lab with support from Trust Tairāwhiti. The Minister highlighted the importance of strong industry connections and encouraged us to think broadly about future applications of this emerging technology.
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In November 2025, I had the pleasure of presenting my research at the Image and Vision Computing New Zealand Conference (IVCNZ), co-hosted with PRICAI.
My presentation, “Visual Artificial Intelligence: Unlocking Efficiency with Psychovisual Models,” explored how human visual perception can improve AI efficiency.
In 2025, I had the privilege of speaking at the Mātai Medical Research Institute Symposium alongside an inspiring group of scientists and innovators advancing research in Aotearoa.
In December 2024, EIT lecturers Dr Anastasia Mozhaeva and Ian Allan took part in three STEM events, engaging more than 150 Tairāwhiti schoolchildren. One highlight was the Kōhine Robotics Expo, where young learners explored robotics and technology.
Member of the Association of Artificial Intelligence Researchers, New Zealand.
Editorial Board Member/ Computer Vision, Synchroinfo journal, Feb 2024 - Present.
Research Committee Member, Eastern Institute of Technology, June 2024 - Present.
2025 Executive Leadership Team’s Outstanding Community Engagement Award, Eastern Institute of Technology, 2025.
The Best BEing Supervisor, competition of innovative projects in digital transformation, International Public Academy of Telecommunications, 2023.
The best startup, Artificial Intelligence Startuphouse Universities, 10000 NZD, 2022.
The best paper, “Technology advancements in IoT devices & Artificial Intelligence”, EMCTECH International Conference, Austria, 2021.
The best paper, international scientific conference “2021 Systems of signals generating and processing in the field of onboard communications”, 2021.
Techweek 2026 Tairāwhiti, Panel: A VISION OF THE FUTURE, Topic: Using AI to understand what’s happening in our rohe, New Zealand.
Techweek 2026 Tairāwhiti, Panel: SEEDING THE FUTURE, Topic: Farming, soil science and feeding the world from Tairāwhiti, New Zealand.
2025 Mātai Medical Research Institute Symposium, Presented "Visual Artificial Intelligence: Unlocking Efficiency with Psychovisual Models", highlighting how human visual perception can be used to improve the efficiency of AI and visual data processing systems, New Zealand.
2025 Trans-Pacific Symposium on Advanced Science and Engineering, Presented "Enhancing Wide-Angle VR Video Transmission Using Human Perception", showcasing how human visual system models can improve real-time wide-angle video transmission for drone and UAV applications, New Zealand.
The 4th Annual Artificial Intelligence Researchers Association Conference, Presented "AI-Driven Forensic Application for Detecting Students’ Mental Health Risks in New Zealand Institutions", exploring AI-based approaches for supporting early identification of student wellbeing risks in education environments, New Zealand.
2025 Te Kai a te Rangatira Research Session, Presented research on applied AI, computer vision, and industry-connected innovation at EIT, New Zealand.
2024 Kohine Robotics Expo, Delivered an outreach presentation introducing robotics, computing, and engineering pathways to young learners, New Zealand.
EIT Nga Hau e Wha Teaching and Learning Conference, Presented "My Students Are Afraid of AI", discussing student concerns about artificial intelligence and strategies for supporting responsible, confident, and constructive AI use in education, New Zealand.
Funding Award: “Māori Economic Development - supports outcomes in drone and embedded vision technology”, 35000 NZD, Trust Tairāwhiti, Principal Investigator, 2026.
Feasibility funding: “Real-time 180° video processing drone project”, 25000 NZD, Trust Tairāwhiti, Principal Investigator, 2025.
Research grant: “Exploring the Role of Conversational AI in Mental Health Support: Evaluating ChatGPT's”, 6804 NZD, Eastern Institute of Technology, Key Researcher, 2024.
Research grant: “Human vision-based technology for real-time processing of wide-angle video signals”, 9200 NZD, Eastern Institute of Technology, Principal Investigator, 2024.
Research grant: “Research the spatio-temporal parameters of the human visual system”, 95000 NZD Science Foundation, Key Researcher, 2023.
Research grant: “Research and development of methods for the integrated control of the parameters and characteristics of video cameras with built-in adaptive processing and compression of the generated signals”, 30000 NZD Science Foundation, Key Researcher, 2022.
Research grant: “Development and application of a psycho-visual model of the effect of masking distortions during the movement of objects in video sequences based on laboratory-subjective-statistical tests”, 95000 NZD Moscow Technical University of Communications and Informatics, Key Researcher, 2022.
Research grant: “Development of a method for objectively assessing the quality of video sequences, considering the results of subjective-static examinations and using psycho-visual models”, 25000 NZD, Ministry of Digital Development, Communications and Mass Communications, Key Researcher, 2021.
Research grant: “Development of methods for monitoring the parameters and characteristics of adaptive light-signal converters for applied television systems”, 25000 NZD, Moscow Technical University of Communications and Informatics, Key Researcher, 2020.
The University of Waikato Doctoral Scholarship.
Moscow Technical University of Communications and Informatics Master Scholarship.
Moscow Technical University of Communications and Informatics Bachelor Scholarship.
Displays, Elsevier Publisher, United Kingdom 2025 - 2026.
Patterns, Cell Press Publisher, United States 2025.
Synchroinfo, Media- Publisher, Austria 2024 - 2026.