Research
Peer-reviewed applied machine learning, network measurement and security, co-authored with collaborators at NUS, UNSW, RIT, VIT and Deakin. The through line is the same one in my engineering work: systems that behave predictably when the inputs do not.
173citations
11publications
Journal articles
- SYN-GAN: A robust intrusion detection system using GAN-based synthetic data for IoT security
- MobileNet-GRU fusion for optimizing diagnosis of yellow vein mosaic virus
- A secure and light-weight patient survival prediction in Internet of Medical Things framework
Conference and workshop papers
- ESPRESSO: Advanced End-to-End Flow Correlation Attacks on Tor
- InceptionResNetV2 and KNN-based detection of yellow vein mosaic virus in okra
- You must be a Trump supporter: Political identity projections on the social web
- A robust feature integration for multiclass metamorphic malware detection in IoT networks
- Performance comparison of recurrent neural networks for metamorphic malware detection
- IncepForest: A novel approach for sign language recognition with transfer and ensemble learning
- Hyperparameter optimization of machine learning models for monitoring menstrual mental health
- A multipronged approach for modeling menopausal health using ensemble learning