I currently work as a Security Data Scientist at Obsidian Security, USA. I like working on applied machine learning problems spanning the areas of anomaly detection, time series and graph-based tasks.

I completed my PhD in Computer Science under the supervision of Professor Ping Yang and Professor Guanhua Yan at the State University of New York (SUNY)-Binghamton, USA. My research there focused on improving the intersection between Applied Machine Learning (AML) and Cybersecurity, with a focus on adversarial and interpretable machine learning. Before that I completed my Bachelors Degree in Science (BS) specializing in Computational Physics from the University of Colombo, Sri Lanka.

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

Publications

Please refer my Google scholar profile for the most up to date version.

  1. Exploring Machine Learning and Deep Learning Approaches for Multi-Step Forecasting in Municipal Solid Waste Generation. By Oshan Mudannayake*, Disni Rathnayake*, Jerome Dinal Herath, Dinuni K. Fernando and Mgnas Fernando. In: IEEE Access (2022). [code] (*authors contributed equally to work)

  2. CFGExplainer: Explaining Graph Neural Network-Based Malware Classification from Control Flow Graphs. By Jerome Dinal Herath, Priti Prabhakar Wakodikar, Ping Yang and Guanhua Yan. In: IEEE/IFIP International Conference on Dependable Systems and Networks (DSN) (2022). [code]

  3. Real-Time Evasion Attacks against Deep Learning-Based Anomaly Detection from Distributed System Logs. By J. Dinal Herath, Ping Yang and Guanhua Yan. In: Proceedings of The 11th ACM Conference on Data and Application Security and Privacy (CODASPY) (2021). [presentation-video][code]

  4. 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]

  5. 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]

  6. 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). [code]

  7. 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). [code]

  8. 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]

  9. 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]

  10. 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]

  11. 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]

Dissertations

Mentoring

  • Pratheek Senevirathne (University of Colombo, Sri Lanka, 2023-present)
  • Maheeka Solangaarachchige (University of Colombo, Sri Lanka, 2023)
  • Achini Wijayathunge (University of Colombo, Sri Lanka, 2023)
  • Oshan Ivantha (University of Colombo, Sri Lanka, 2021-2023)
  • Disni Rathnayake (University of Colombo, Sri Lanka, 2021-2023)
  • Austin Barr (State University of New York at Brockport, USA, 2022-2023)

Certifications