Jinx Arcane

Projects

A showcase of my research, development, and engineering work.

AI Research

Contrastive Learning Transformer (CLT)

For Label Efficient Semantic Segmentation. Explored transformer architectures to improve segmentation with limited labeled data.

Deep LearningComputer Vision

Multimodal Graph Neural Network (MGNN)

For Automatic Generation of Coherent Image Descriptions. Leveraging graph structures to connect visual features with semantic text generation.

GNNNLP

CSE Master of Science (MSc) Dissertation

Thesis: "Leveraging Deep Unsupervised Models Towards Learning Robust Multimodal Representations". Developed and compared new Multimodal Deep Unsupervised Models.

Unsupervised LearningMultimodal

WSmart Route+

Reinforcement Learning agent for Waste Collection routing optimization, focusing on the Periodic Capacitated Vehicle Routing Problem.

Reinforcement LearningOptimization
Workshop Poster

Web Development

EBEC 2020 Website

Event website for BEST Engineering Competition, themed after The Mandalorian TV series.

GitHub Repository

Personal Website

The website you are looking at right now, showcasing my blog posts and projects. Built with Next.js, React, and Tailwind CSS for modern design.

GitHub Repository

Hardware & Software

Hacker Entertainment System (HES)

A custom game controller inspired by the classic NES, built during a FabLab workshop.

GitHub Repository

HackerSchool Robot (HS-Robot)

An incomplete robotics project for autonomous navigation and item retrieval.

GitHub Repository

Game Development

Project Emerald

A game development exploration.

Project Fishes

Aquatic simulation and gameplay mechanics.

Bibliography

WSmart Route+ References

  • An Introduction to Deep Reinforcement Learning - François-Lavet, V., et al. (2018).DOI
  • Reinforcement Learning for Combinatorial Optimization: A Survey - Mazyavkina, N., et al. (2020).arXiv
  • Solving capacitated vehicle routing problem with demands as fuzzy random variable - Singh, V. P., et al. (2023). Soft Comput.DOI
  • Deep Reinforcement Learning for Solving the Heterogeneous Capacitated Vehicle Routing Problem - Li, J., et al. (2022). IEEE Transactions on Cybernetics.DOI
  • The orienteering problem - Golden, B., et al. (1987). Nav Res Logist.DOI

CSE MSc Dissertation References

  • Autoencoders - Bank, D., et al. (2021).arXiv
  • Geometric Multimodal Contrastive Representation Learning - Poklukar, P., et al. (2022).arXiv
  • Self-Supervised Video Representation Learning With Odd-One-Out Networks - Fernando, B., et al. (2017).arXiv
  • Multimodal Generative Models for Scalable Weakly-Supervised Learning - Wu, M., & Goodman, N. (2018).arXiv