Personal profile
Overview
From high school to PhD and after graduation, all his focus and work have revolved entirely around computer science and digital technology. This dedicated path has allowed him to acquire specialized knowledge and invaluable experience in various areas. These include proficient analysis, design, and utilization of Artificial Intelligence, a deep understanding of cybersecurity, particularly in the area of multimedia ownership authentication and privacy, and collaborative teamwork to develop cutting-edge algorithms in Machine Learning, NLP, and more. Consequently, Sajjad has made notable contributions and significant impacts in the fields of cybersecurity and AI through the creation and advancement of innovative algorithms. These accomplishments have been recognized through publications in top-tier blind peer-reviewed journals and conferences.
In the past, he has worked as a research assistant at Nanjing University of Science and Technology, as well as a lecturer at IAU University. Currently, he holds the position of lecturer in computing at the University of the West of Scotland.
In addition to his academic roles, Sajjad actively contributes to the digital community through teaching and conducting research. He organizes workshops, serves as an editor and reviewer for scholarly publications, and consistently strives to share his knowledge and assist others in enhancing their skills within related fields and industries. His research interests encompass a range of topics, including Multimedia forensics, Multimedia Security, Information Hiding, Image/Audio/Video Signal Processing, Pattern Recognition, and Machine Learning.
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Collaborations and top research areas from the last five years
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Security governance in UK telecoms: reverse salience, path dependency and the paradox of stability vs innovation
McPhee, L. J. & Bagheri Baba Ahmadi, S., 22 May 2026, (E-pub ahead of print) In: Telecommunications Policy. 50, 16 p., 103246.Research output: Contribution to journal › Article › peer-review
Open AccessFile2 Downloads (Pure) -
NADSA: a novel approach for detection of sinkhole attacks based on RPL protocol in 6LowPAN network
Shiranzaei, A., Alizadeh, E., Rabbani, M., Bagheri Baba Ahmadi, S. & Tajgardan, M., 30 Jul 2025, In: Computers, Materials & Continua. 84, 3, p. 5381-5402 22 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile13 Downloads (Pure) -
Work-in-progress—immersive learning: challenges and trends
Bagheri Baba Ahmadi, S. & Gilardi, M., 3 Jun 2024, 2024 10th International Conference of the Immersive Learning Research Network (iLRN) Proceedings - Selected Academic Contributions. Immersive Learning Research Network, p. 34-40 7 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open AccessFile43 Downloads (Pure) -
An approach for unsupervised contextual anomaly detection and characterization
Boukela, L., Zhang, G., Yacoub, M., Bouzefrane, S. & Ahmadi, S. B. B., 5 Sept 2022, In: Intelligent Data Analysis. 26, 5, p. 1185-1209 25 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile50 Downloads (Pure) -
A modified LOF-based approach for outlier characterization in IoT
Boukela, L., Zhang, G., Yacoub, M., Bouzefrane, S., Ahmadi, S. B. B. & Jelodar, H., 30 Apr 2021, In: Annals of Telecommunications. 76, p. 145-153 9 p.Research output: Contribution to journal › Article › peer-review
16 Link opens in a new tab Citations (Scopus)
Press/Media
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It's cheap and worryingly cheap easy to create a world of pure imagination
22/09/24
1 Media contribution
Press/Media: Expert Comment
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Deepfake technology is outpacing our ability to combat it
16/04/24
1 item of Media coverage
Press/Media: Expert Comment