| 2023 | ICMLA | Fall Detection using Machine Learning Techniques and Frequency-Driven Riemannian Manifolds. | Shan Suthaharan |
| 2023 | IRI | Microsaccade Segmentation using Directional Variance Analysis and Artificial Neural Networks. | Shan Suthaharan, Lee Daniel M. W., Min Zhang, Ethan A. Rossi |
| 2020 | ICMLA | Pixel-Level Feature Space Modeling and Brain Tumor Detection Using Machine Learning. | Ritu Joshi, Shan Suthaharan |
| 2019 | SIGCSE | Towards Encapsulated Cyber Security Labs: A Container Based Approach. | Selvarajah Mohanarajah, Gregorry Ross, Shan Suthaharan |
| 2018 | ICMLA | Feature Extraction Using Apparent Power and Real Power for Smart Home Data Classification. | Vishali Vadakattu, Shan Suthaharan |
| 2014 | SIGITE | FLaSKU - a classroom experience with teaching computer networking: is it useful to others in the field? | Shan Suthaharan |
| 2013 | ISI | Lame' curve-based signature discovery learning technique for network traffic classification. | Shan Suthaharan, Laxmi Sunkara, Sweta Keshapagu |
| 2012 | ISI | A unit-circle classification algorithm to characterize back attack and normal traffic for intrusion detection. | Shan Suthaharan |
| 2010 | MASS | Sensor data boundary estimation for anomaly detection in wireless sensor networks. | Shan Suthaharan, Christopher Leckie, Masud Moshtaghi, Shanika Karunasekera, Sutharshan Rajasegarar |
| 2008 | ICIP | A no-reference Spatial Aliasing Measure for digital image resizing. | Amy R. Reibman, Shan Suthaharan |
| 2003 | ICASSP | A perceptually significant block-edge impairment metric for digital video coding. | Shan Suthaharan |
| 2000 | VCIP | Perceptually most significant edge detection algorithm for object-based coding. | Shan Suthaharan, Hong Ren Wu, K. R. Rao |
| 1997 | ICIP | SNR Optimization Using Genetic Algorithm. | Shan Suthaharan, Zhongwei Zhang |