Research
Ongoing
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Reinforcement Learning Hyperparameter Rigor — Paired-Offset Reevaluation
RL | HPO | Selection Bias | Diagnostics
Investigating selection-induced optimism in RL hyperparameter search and proposing a
paired-offset reevaluation diagnostic. Two manuscripts under review.
2025 - Present -
Wildfire Spread Prediction with Spatio-Temporal Deep Learning
Spatio-Temporal | Deep Learning | Remote Sensing
Leveraging spatial and temporal data for enhanced wildfire spread prediction. Manuscript
under review.
2024 - Present
Completed
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On Privacy-Preserved Machine Learning Using Secure Multi-Party Computing: Techniques and
Trends
ML | SMPC | Privacy
Comprehensive survey on privacy-preserving machine learning that employs secure multi-party
computing.
Apr. 2022 - 2025
[Paper] -
Detecting Water In Visual Image Streams Captured From Unmanned Aerial Vehicles
CV | UNet | Tensorflow | OpenCV | Python
Our work attempts at detecting water surfaces using Unmanned Aerial Vehicles (UAV) footage.
Oct. 2022 - 2023
[Paper] -
Modeling and Prediction of Municipal Solid Waste Generation in Sri Lanka using Machine
Learning Techniques
ML | Time series | Darts | Python
We aimed to model and forecast solid waste generation patterns in cities using machine
learning techniques.
May 2021 - Jul. 2022
[Paper] -
Machine Learning based Internet Domain Entity Matching and its Applications
ML | Scikit-learn | Tensorflow | Python
We tried to predict malicious domain URLs by using machine learning techniques.
Aug. 2020 - Dec. 2021 -
Realtime Property Evaluation of Large Streaming Graphs
Graphs | Graph Summarization | Python
We investigated massive graph stream summarization techniques and proposed an improved graph
sketch; kMatrix.
Jan. 2019 - Jan. 2020
[Presentation] [Source] [Paper] -
Machine Learning over Encrypted Data
ML | Encryption | SMPC | Tensorflow | Python | Google Cloud Platform
We added a layer over Tensorflow to facilitate machine learning on encrypted data over a
distributed network of machines.
Jul. 2018 - Jan. 2019
[Poster]