Dr Neda Ahmadi

I have extensive experience in teaching and facilitating learning across a broad spectrum of subjects at both undergraduate and postgraduate levels. My teaching methodologies encompass various formats, including lectures, tutorials, seminars, practical sessions, and project supervision. I am dedicated to providing comprehensive instruction and guidance to students, fostering their growth and understanding in the ever-evolving landscape of technology and computer science.

Some of the units I have been involved in teaching include Mobile Network Planning and Design, Mobile Applications, Cloud deployment models, Data Science, Object-Oriented Programming, AI, Machine Learning, Big Data Analytics, Web Design, Project Management, and many more. My proficiency extends from the technical aspects of software engineering and programming languages like Java, C#, Python, and MATLAB to the creative domains of animation, game design, and visual effects. This diverse teaching experience allows me to mentor and guide students across a wide range of disciplines, enabling them to excel in their academic pursuits.

Furthermore, I have actively engaged in professional development and training activities, including Advanced HE Fellowship, research integrity, technical writing, public speaking, and various topics related to research methodologies and academic leadership. These experiences have enriched my ability to effectively impart knowledge and skills to students while staying at the forefront of educational best practices. My commitment to teaching and learning is a testament to my dedication to academic excellence.

Qualifications

• Data Science
• Artificial intelligence
• Wireless Communications
• Iris Recognition
• Digital Technology
• Machine Learning
• Image Processing
• Digital Signal Processing
• Computer Vision
• Quantum Communication
• TN/NTN Communication

Course director

• Foundation Year in Computing
• Computer Science and Artificial Intelligence BSc (Hons)
• AI for Business and Innovation MSc/PgDip/PgCert

Courses taught

• Information Systems MSc
• Game Development (Design) MA
• Game Development BSc (Hons)
• Computer Science BSc (Hons)
• Digital Media Technology BSc (Hons)
• Data Science MSc

My research interests span several interconnected areas at the forefront of artificial intelligence, data science, and next-generation communication technologies. My primary research focus is on Wireless Communication Networks, particularly intelligent and data-driven approaches for 5G/6G, Massive MIMO, and Cell-Free Massive MIMO systems, with an emphasis on resource allocation, power control, network optimisation, and energy-efficient communications.

Alongside wireless communications, my research encompasses Data Science and Machine Learning, where I develop intelligent computational models and optimisation techniques to address complex real-world problems. I am also actively interested in Terrestrial and Non-Terrestrial Networks (TN/NTN), exploring their role in future integrated communication infrastructures, as well as Quantum Communication, particularly emerging approaches for secure and next-generation information transmission.

Another important strand of my research is Image Processing and Iris Recognition, where I investigate advanced feature extraction, pattern recognition, and machine learning techniques for robust and accurate biometric identification. My work in this area combines image-processing methods with intelligent computational models to develop reliable recognition frameworks.

I also have research interests in the Internet of Things (IoT) and intelligent connected systems, particularly where IoT, AI, and next-generation networks converge. Collectively, these research directions reflect a multidisciplinary research portfolio centred on Artificial Intelligence, intelligent communications, secure connectivity, computer vision, and emerging technologies, with the overarching aim of developing innovative, efficient, and practically relevant solutions to complex technological challenges.

Qualifications

• Wireless Communication
• Data Science
• Biometrics
• Machine Learning
• Deep Learning
• Disease Diagnosis
• Neuromarketing
• EEG Signal Processing
• Fuzzy Logics
• Image Processing

Specialisms

• Wireless Communication
• Image Processing
• Neuromarketing
• Fuzzy Logics
• Machine Learning