Dr Neda Ahmadi

Contact

Neda Ahmadi
About
Teaching and learning
Research

About

I am a dedicated researcher with a Ph.D. in Wireless Communication, driven by a passion for advancing this dynamic field. My academic journey commenced with a Bachelor's degree in Software Engineering, providing me with a strong foundation. I furthered my studies with a Master's degree in Computer Science, during which I conducted innovative research in iris image recognition and image processing. My research interests are diverse and include Wireless Communication, Biometrics, Machine Learning, Deep Learning, Image Processing, Disease Diagnosis, Neuromarketing, Fuzzy Logics, and EEG Signal Processing. These interests reflect my commitment to exploring the intersections of technology, biology, and marketing to drive innovation. Throughout my career, I've actively contributed to influential research projects across diverse locations, including Iran, Malaysia, and the United Kingdom.

I am open to supervising highly motivated self-funded Ph.D. students having interests in the areas of Wireless Communication, Biometrics, Machine Learning, Deep Learning, Image Processing, Disease Diagnosis, Neuromarketing, and EEG Signal Processing.

Academic responsibilities

Lecturer in Data Science (Mathematics & Computer Science)

Qualifications

  • PhD, (Hons) Computer Science (Wireless Communication with AI)
  • MSc (Hons) Computer Science (Artificial Intelligence)
  • BSc (Hons) Computer Science (Software Engineering)

Teaching and learning

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 and expertise

  • Data Science
  • Artificial intelligence
  • IoT
  • Big Data Analytics
  • Digital technology
  • Machine Learning
  • Wireless Communications
  • Digital Signal Processing
  • Computer Vision
  • Image Processing

Undergraduate courses taught

Postgraduate courses taught

Research

My research interests span a broad spectrum of cutting-edge domains, reflecting my passion for innovation and multidisciplinary exploration. I have a primary focus on Wireless Communication Networks, where my expertise has led to significant advancements in this dynamic field. Complementing this, I delve deep into Data Science, where I explore the vast potential of data-driven insights. Additionally, I'm committed to Image Processing, investigating advanced techniques for image analysis and enhancement. These research areas, along with my dedication to advancing Machine Learning, and harnessing the potential of Big Data Management and the Internet of Things (IoT), underscore my commitment to transformative research. These diverse pursuits converge to shape a dynamic research portfolio, embodying my relentless quest for novel insights and solutions in the ever-evolving landscape of technology and science.

Qualifications and expertise

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

Areas of specialism

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

Publications

Jump to: Article | Conference or Workshop Item
Number of items: 13.

Article

Ahmadi, Neda, Nilashi, Mehrbakhsh, Minaei-Bidgoli, Behrouz, Farooque, Murtaza, Samad, Sarminah, Aljehane, Nojood O., Zogaan, Waleed Abdu and Ahmadi, Hossein (2022) Eye state identification utilizing EEG signals : a combined method using Self-Organizing Map and Deep Belief Network. Scientific Programming, 2022, p. 4439189. ISSN (print) 1058-9244

Ahmadi, Neda (2020) Review of terrestrial and satellite networks based on machine learning techniques. Journal of Soft Computing and Decision Support Systems, 7(3), pp. 13-22. ISSN (online) 2289-8603

Ahmadi, Neda (2020) A hybrid intelligent approach for image segmentation and feature extraction using fuzzy clustering, lattice Boltzmann and GLDM techniques. Journal of Soft Computing and Decision Support Systems, 7(3), pp. 1-5. ISSN (online) 2289-8603

Ahmadi, Neda and Akbarizadeh, Gholamreza (2020) Iris tissue recognition based on GLDM feature extraction and hybrid MLPNN-ICA classifier. Neural Computing and Applications, 32(7), pp. 2267-2281. ISSN (print) 0941-0643

Nilashi, Mehrbakhsh, Samad, Sarminah, Ahmadi, Neda, Ahani, Ali, Abumalloh, Rabab Ali, Asadi, Shahla, Abdullah, Rusli, Ibrahim, Othman and Yadegaridehkordi, Elaheh (2020) Neuromarketing : a review of research and implications for marketing. Journal of Soft Computing and Decision Support Systems, 7(2), pp. 23-31. ISSN (online) 2289-8603

Nilashi, Mehrbakhsh, Ahmadi, Neda, Samad, Sarminah, Shahmoradi, Leila, Ahmadi, Hossein, Ibrahim, Othman, Asadi, Shahla, Abdullah, Rusli, Abumalloh, Rabab Ali and Yadegari, Elaheh (2020) Disease diagnosis using machine learning techniques : a review and classification. Journal of Soft Computing and Decision Support Systems, 7(1), pp. 19-30. ISSN (online) 2289-8603

Ahmadi, Neda (2019) Intelligent approaches towards fuzzy segmentation and fuzzy edge detection. Journal of Soft Computing and Decision Support Systems, 6(6), pp. 9-13. ISSN (online) 2289-8603

Ahmadi, Neda (2019) Morphological-edge detection approach for the human iris segmentation. Journal of Soft Computing and Decision Support Systems, 6(4), pp. 15-19. ISSN (online) 2289-8603

Ahmadi, Neda (2018) Iris texture recognition based on multilevel 2-D Haar wavelet decomposition and hamming distance approach. Journal of Soft Computing and Decision Support Systems, 5(3), pp. 16-20. ISSN (online) 2289-8603

Ahmadi, Neda and Akbarizadeh, Gholamreza (2018) Hybrid robust iris recognition approach using iris image pre-processing, two-dimensional gabor features and multi-layer perceptron neural network/PSO. IET Biometrics, 7(2), pp. 153-162. ISSN (print) 2047-4938

Ahmadi, Neda and Akbarizadeh, Gholamreza (2015) Iris recognition system based on canny and LoG edge detection methods. Journal of Soft Computing and Decision Support Systems, 2(4), pp. 26-30. ISSN (online) 2289-8603

Conference or Workshop Item

Ahmadi, Neda, Mporas, Iosif, Papathanasopoulos, Anastasios, Kourtessis, Pandelis and Senior, John (2022) Power control in massive MIMO networks using transfer learning with deep neural networks. In: IEEE 27th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD); 02-03 Nov 2022, Paris, France.

Ahmadi, Neda, Mporas, Iosif, Kourtessis, Pandelis and Senior, John (2022) Evaluation of machine learning algorithms on power control of massive MIMO systems. In: 13th IEEE/IET International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP 2022); 20-22 Jul 2022, Porto, Portugal..

This list was generated on Fri Jul 26 20:51:30 2024 BST.