Nasmin Jiwani

Nasmin Jiwani is a Research Scholar with 56 publications, an h-index of 20, and 921 total citations. Her academic work spans interdisciplinary applications of machine learning and deep learning techniques across medical diagnostics, cybersecurity, and IoT systems.

Her research focuses on Medical Informatics where she develops AI-driven diagnostic tools for liver disease prediction, diabetic retinopathy classification, and acute lymphoblastic leukemia detection. In Cybersecurity, she pioneers image-based malware classification using deep learning architectures. Her IoT Systems research includes supply chain optimization and smart security applications. Recent work shows increasing emphasis on healthcare technology integration, particularly in cancer diagnostics and autism spectrum disorder analysis.

Collaboration patterns indicate strong partnerships with Ketan Gupta (30 co-authored papers), J. Logeshwaran, and Neda Afreen across IEEE conferences and journals. Her publication trajectory demonstrates consistent output with 10+ papers annually since 2022, showing particular strength in translating theoretical machine learning models to practical healthcare and security applications.