معرفی
Farhan Amin is a prolific researcher in computer science with a focus on Internet of Things (IoT) technologies, data security, and smart systems. He has published extensively in high-impact journals like IEEE Access and PeerJ Comput. Sci., collaborating with international experts such as Rashid Abbasi and Gyu Sang Choi. His work spans domains including smart city analytics, medical data protection, and next-generation IoT frameworks.
- Key Contributions: Dynamic trust management in IoT, 3D arthritis detection models, and hybrid data watermarking techniques.
- Collaborators: Rashid Abbasi, Salabat Khan, Abdul Mateen, Isabel de la Torre Díez.
His research bridges theoretical innovation and practical applications, particularly in cybersecurity for IoT, network navigation, and healthcare analytics. Recent publications highlight advancements in zero-knowledge proofs, deep learning for medical imaging, and 6G-enabled healthcare systems.
Farhan’s work on anticancer peptide prediction and child custody decision modeling demonstrates interdisciplinary reach. While not explicitly stated, his output suggests a faculty or senior research role at an institution engaged in cutting-edge computational science.
