Dr. Ahmed Khan | Cyber Security | Best Researcher Award 

Dr. Ahmed Khan | Cyber Security | Lecturer at Taylor’s University | Malaysia

Dr. Ahmed Khan is a highly accomplished computer scientist with an international academic and professional background spanning Australia, Malaysia, Pakistan, and Japan, recognized for his expertise in multimedia signal processing, privacy and security, machine learning, deep learning, and computer vision. He earned his Ph.D. in Computer Science from Monash University Malaysia, following an MS in Computer Science from Iqra University and a BS (Hons.) in Computer Science from Islamia University of Bahawalpur, Pakistan. His career includes progressive academic roles such as Lecturer at Taylor’s University Malaysia, Graduate Research and Teaching Assistant at Monash University Malaysia, Sessional Academic at the University of Canberra, and Lecturer at COMSATS University and Muslim Youth University in Pakistan, along with industry experience as a Java Developer at Cyan Business Solutions. Dr. Ahmed Khan’s research interests cover image watermarking, multimedia security, high dynamic range (HDR) image processing, encryption, forgery detection, saliency detection, and artificial intelligence applications in digital media. His research skills include algorithm design, structured matrix decomposition, chaotic cryptography, multi-transform watermarking, image enhancement, and robust information hiding techniques, which have enabled him to publish widely in indexed journals such as Multimedia Tools and Applications and in high-quality IEEE and Scopus-listed conferences including APSIPA ASC and ICEIC. He has contributed significant scholarly works addressing challenges in watermarking resilience, privacy-preserving technologies, and multimedia forensics, with growing citations reflecting the academic impact of his studies. Dr. Ahmed Khan has also been actively involved in collaborative research across multiple countries, strengthening his role as a global researcher and academic leader. His awards include recognition from Monash University Malaysia for research and teaching excellence, underscoring his commitment to advancing both scientific knowledge and higher education. As an educator, he has guided undergraduate and postgraduate students, integrating research-led teaching into his courses and preparing future professionals for careers in computing and information technology. Dr. Ahmed Khan’s career achievements demonstrate a balance of technical innovation, scholarly output, and community engagement, with his work continuing to push the boundaries of digital security, AI-driven multimedia systems, and applied computer science. In conclusion, Dr. Ahmed Khan is a forward-looking researcher and educator whose contributions to multimedia security, computer vision, and signal processing highlight his academic distinction and leadership potential, making him a deserving recipient of recognition in international academic and scientific platforms.

Profile: ORCID

Featured Publications 

1. Exploring information hiding in images – problems and measures: a survey – 2025 – Citations: 5

2. Trade-off independent image watermarking using enhanced structured matrix decomposition – 2025 – Citations: 4

3. Stabilization of sunflower oil by using potato peel extract as a natural antioxidant – 2024 – Citations: 11

4. Tone-Mapping Resilient HDR Image Watermarking based on Multi-Transforms and Saliency Detection – 2024 – Citations: 3

5. HDR Image Watermarking based on Saliency Detection and Quantization Index Modulation – 2023 – Citations: 6

6. High payload watermarking based on enhanced image saliency detection – 2023 – Citations: 15

7. Efficient image enhancement using improved RIQMC based ROHIM model – 2022 – Citations: 18