Ms. Annette Nayana Nellyet

Ms. Annette Nayana Nellyet is an experienced academician, researcher, and certified AI and Data Science professional with over 10 years of academic, research, curriculum development, and industry-linked experience in Computer Science, Artificial Intelligence, Data Science, Machine Learning, and Emerging Technologies.

Annette Nellyet currently serves as an Assistant Professor in Data Science and Artificial Intelligence at the University of Stirling, Ras Al Khaimah, UAE, delivering advanced, industry-aligned modules in Data Science, Natural Language Processing, and related computing disciplines, and is actively engaged in curriculum enhancement, faculty development, research supervision, industry-academia collaboration, and AI-enabled teaching practices.

Annette Nellyet is a Ph.D. Scholar in Computer Science at Manav Rachna University, India. Core academic and research interests include Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, Generative AI, Large Language Models, Computer Vision, Data Science, Big Data Analytics, Image Processing, and Decentralized Systems. MOHESR Equivalency in the UAE has also been obtained.

A Master of Technology (M.Tech) in VLSI and Embedded Systems was completed at NMAM Institute of Technology, NITTE University, India, graduating with First Class with Distinction, with postgraduate research focused on Target Detection in Satellite Images, applied to computer vision and image processing. A Bachelor of Engineering in Electrical, Electronics and Communications Engineering was also completed at Srinivas Institute of Technology, Visvesvaraya Technological University, India, with First Class with Distinction.

Academic teaching experience spans the UAE and India, including the current role as Assistant Professor in Data Science and Artificial Intelligence at the University of Stirling, Ras Al Khaimah, UAE, held since 2024. Prior to this, Annette Nellyet served as Assistant Professor in Data Science and AI at Britts Imperial University College, alongside earlier faculty and coordination roles in India.

Throughout Annette Nellyet’s academic career, teaching has contributed to a wide range of computing and technology-related subjects, including:

• Data Science
• Artificial Intelligence
• Machine Learning
• Natural Language Processing
• Generative AI
• Data Analytics
• Programming and Software Development
• Python, Java, SQL, R, and MATLAB
• Deep Learning
• Computer Vision
• Image Processing
• Database Systems
• Statistical Analysis
• Data Mining
• Hardware and Cloud Architecture
• VLSI and Embedded Systems

In addition to academia, applied research and technical experience was gained through work as a Research Project Trainee at Bharat Electronics Limited, Bengaluru, contributing to research in signal processing, machine learning, image segmentation, voice recognition, artificial neural networks, hardware integration, and real-time circuit design using MATLAB, Altera FPGA, and Quartus II.

Annette Nellyet has actively contributed to research and academic development, with publications in areas including Artificial Intelligence, Machine Learning, Data Science, Deep Learning, Natural Language Processing, Environmental Analytics, Biomedical Data Analysis, Brain Tumour Detection, Chronic Disease Risk Prediction, AI in Banking, and ICT Ethics and Privacy.

Annette Nellyet is a Fellow of the Higher Education Academy (FHEA), UK, holding several professional certifications including AWS Academy Educator, Red Hat Academy Program Educator, Google Data Analytics Professional Certificate, and IBM Data Science Professional Certificate. Professional focus centres on bridging academic excellence with industry relevance by integrating modern AI tools, applied research, emerging technologies, and outcome-based pedagogy into higher education.

Educational Qualification

Ph.D. in Computer Science, Manav Rachna University, India (in progress)
M.Tech in VLSI and Embedded Systems, NMAM Institute of Technology, NITTE University, India (First Class with Distinction)
B.E. in Electrical, Electronics and Communications Engineering, Srinivas Institute of Technology, Visvesvaraya Technological University, India (First Class with Distinction)
MOHESR Equivalency, UAE

Certifications

Fellow of the Higher Education Academy (FHEA), UK
AWS Academy Educator
Red Hat Academy Program Educator
Google Data Analytics Professional Certificate
IBM Data Science Professional Certificate

Research Interests

Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, Generative AI, Large Language Models, Computer Vision, Data Science, Big Data Analytics, Image Processing, Decentralized Systems

Contact

[email protected]