Currently, I am part of the SVR Lab @ SUNY Binghamton under the supervision of Professor Ping Yang and co-supervision of Professor Guanhua Yan where my current research focuses is in Real-time Machine Learning. I primarily develop machine learning models for real-time anomaly detection. Additionally, I also collaborate 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.

Publications

  1. 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).

  2. 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]

  3. 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]

  4. 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]

  5. 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