Hello, I'm Gnanavel Nishaanthini

A passionate researcher, developer and innovator with expertise in technology and science and creating innovative solutions that bridge science and technology..

About Me

Profile

Nishaanthini Gnanavel

PhD student at CCDS, NTU |Machine Learning Engineer at H2O.ai | Computer Science and Engineering Graduate at University of Moratuwa.

I am passionate about Large Language Models (LLMs) ,Data Visualization, Explaianable AI and data-driven problem solving. With experience at H2O.ai as a Machine Learning Engineer, I have worked on real-world AI applications. I enjoy exploring new challenges, building scalable AI solutions, and constantly learning emerging technologies.

Top Skills

Large Language Models (LLM)
Data Visualization
Explainable AI
Machine Learning

Education

  • PhD CCDS, NTU (2025 – present)
  • B.Sc. in Computer Science and Engineering University of Moratuwa (2020 – 2024)

Experience

  • Machine Learning Engineer H2O.ai | Jun 2024 – Jun 2025
  • Machine Learning Engineer Intern H2O.ai | Jan 2023 – May 2024

Projects

Explore some of my recent research and development projects that showcase my expertise and interests.

AI-Powered Analytics Platform

SegXperts - Segmentations from Explanations

A web application which uses explainable artificial intelligence (XAI) to perform detailed segmentation of cervical cell images to help in cervical cancer cell detection. It aims to provide transparency into its AI-driven analysis by offering segmentation masks, XAI heatmaps, and key cellular descriptors such as nucleus-to-cytoplasm (N:C) ratio.

Deeplearning XAI Python React

Publications

Research papers and academic publications from my Final Year Project on Explainable AI for Cervical Cancer Screening.

Interpretable Cervical Cell Classification: A Comparative Analysis

Authors: N. Gnanavel, P. Inparaj, N. Sritharan, D. Meedeniya, P. Yogarajah

Conference: 2024 4th International Conference on Advanced Research in Computing (ICARC), Belihuloya, Sri Lanka

Year: 2024

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EnsembleCAM: Unified Visualization for Explainable Cervical Cancer Identification

Authors: N. Sritharan, N. Gnanavel, P. Inparaj, D. Meedeniya, P. Yogarajah

Conference: 2024 International Research Conference on Smart Computing and Systems Engineering (SCSE), Colombo, Sri Lanka

Year: 2024

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Explainable Artificial Intelligence Driven Segmentation for Cervical Cancer Screening

Authors: N. Sritharan, N. Gnanavel, P. Inparaj, D. Meedeniya, P. Yogarajah

Journal: IEEE Access

Year: 2025

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Achievements

Recognitions and milestones that highlight my professional journey.

2024

Best Paper Award in the Smart Computing Track

International Research Conference on Smart Computing and Systems Engineering (SCSE), 2024

Awarded for the paper titled "EnsembleCAM: Unified Visualization for Explainable Cervical Cancer Identification".

2023

ChallengerX Champion

IFS x Hatch, 2023

SriLanka’s 1st AI/ML Incubator programme and competition organized by IFS x Hatch to build a solution to model any disaster event and determine the best response strategy.

2023

APAN56 Datathon - 2nd runnerup

Organized by APAN and 4 state universities

24 hr Datathon organized by APAN and 4 state universities to build a location recommendation solution for solar and wind projects based on meteorological data.

2022

Datastorm 3.0 - 1st runnerup

Data Analytics Competition organized by Octave and Rotaract clubs of University of Moratuwa and Faculty of science, University of Colombo.

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