Currently, I am part of the SVR Lab @ SUNY Binghamton under the supervision of Professor Ping Yang and Professor Guanhua Yan where my current research focuses on improving the intersection between Machine Learning (ML) and Anomaly Detection (AD). From a ML perspective I work on adversarial machine learning where we ask the questions “are ML models used for anomaly detection robust? can they be fooled?”, I also work on interpretable machine learning where we ask the questions “Why/How do ML models for anomaly detection really work?”

In my PhD, so far I have worked on developing a model with real-time anomaly detection capability, followed by testing its ability to provide anomaly root-causes. Additionally, I have also worked on research projects which utilize Ethereum-Blockchain for building secure, distributed systems.

In terms of past research experience, before my PhD-I have worked on research projects spanning the areas of wireless communications and robotics. During which, I gained experience in Markovian modeling, Optimizations, Deep Learning and Robotic simulations. As of August 2020 I am also a member of the International Research Council (IRC) in Sri Lanka.

Publications

  1. RAMP: Real-Time Anomaly Detection in Scientific Workflows. By J. Dinal Herath, Changxin Bai, Guanhua Yan, Ping Yang, Shiyong Lu. In: IEEE International Conference on Big Data (2019). [extended version] [code][slides]

  2. SciBlock: A Blockchain-Based Tamper-Proof Non-Repudiable Storage for Scientific Workflow Provenance. By Dinuni Fernando, Siddharth Kulshrestha, J. Dinal Herath, Nitin Mahadik, Yanzhe Ma, Changxin Bai, Ping Yang, Guanhua Yan, Shiyong Lu. In: IEEE International Conference on Collaboration and Internet Computing (2019). [slides]

  3. DeepChannel: Wireless Channel Quality Prediction using Deep Learning. By Adita Kulkarni, Anand Seetharam, Arti Ramesh, J. Dinal Herath. In: IEEE Transactions in Vehicular Technology (TVT) (2019).

  4. A Deep Learning Model for Wireless Channel Quality Prediction by J. Dinal Herath, Anand Seetharam and Arti Ramesh. In: IEEE International Conference on Communications (ICC) (2019).

  5. A Markovian Model for Analyzing Opportunistic Request Routing in Wireless Cache Networks by J. Dinal Herath and Anand Seetharam. In: IEEE Transactions in Vehicular Technology (TVT) (2018). [code] [project] [slides]

  6. Analyzing Opportunistic Request Routing in Wireless Cache Networks by J. Dinal Herath and Anand Seetharam. In: IEEE International Conference on Communications (ICC) (2018). [code] [project]

  7. Simulation of Symmetric and Asymmetric movement gaits for Lateral Undulation in Serial Snake Robots by J. Dinal Herath and K. Jayananda. In: International Conference on Computational Modeling & Simulation (ICCMS) (2017). [project]

  8. Comparison of Serial and Parallel Snake Robots for Lateral Undulation Motion Using Gazebo by J. Dinal Herath and K. Jayananda. In: IEEE International Conference on Information and Automation for Sustainability (ICIAfS) (2016). (DOI - 10.1109/ICIAFS.2016.7946540) [code] [project]

Thesis