Artificial Intelligence.
Deep Learning.
Healthcare Data Science.
Machine Learning.
Edge Computing and Intelligence
Internet of Things.
Cyber-Physical Systems.
Signal Processing.
Research Experience:
Apart from my academic course works and projects, I have been involved in two multidisciplinary research works that have been published in the Applied Science journal, January 2023 and 2022 25th International Conference on Computer and Information Technology (ICCIT). The journal paper includes research on cyber physical systems, AI and machine learning. Specifically, designed an AI-enabled cyber-physical safety analyzer framework for the safety of civilian UAM from jamming and spoofing that includes AI algorithms such as decision trees, random forests, logistic regression, K-nearest neighbors (KNN), and long short-term memory (LSTM). In the case of the conference paper, the research includes federated learning, computer vision, deep learning and healthcare systems. We have developed a federated learning environment where multiple medical institutes can collaborate in detection of Parkinson’s disease without sharing their patient’s data by maintaining privacy. The deep learning models that have been used in this research are VGG19, VGG16 and Inception V3.