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Software Intern

NatureHelm (Wildlife Drones)

Responsibilities include developing and implementing data integration strategies, evaluating global biodiversity datasets (including geospatial data), optimizing ELT processes, and creating visualizations to enhance user experience.

• Techologies used: AWS, Python, SQL, TypeScript, React, Docker...
• Implemented multiple ELT processes.
• Optimised runtime of one of the ELT process from several hours to couple of minutes.

Research Intern

Active Intelligence

I assisted Dr. Wang in developing a market-ready model, collaborating with a team to integrate AI solutions, conducting research, testing AI models, and providing technical support. I also focused on optimizing AI models to meet performance goals.

• Technologies included: Python, PyTorch, Tensorflow, Computer Vision, Machine Learning...

Bachelor of Advanced Computing (R&D) (Honours)

The Australian National University

Machine Learning Major

• Researcher at the TIME Lab.
• Former President of the Formula Racing Student Club.
• Research Portfolio Officer at the Research Society.

Active Intelligence Research Challenge

Active Intelligence

I was selected as the recipient of the Active Intelligence Research Challenge Award, as nominated by Dr Lei Wang, for my outstanding research and achievements in the field of Artificial Intelligence and Machine Learning.

Chancellor’s International Scholarship

The Australian National University

I was awarded this prestigious scholarship from the Australian National University in recognition of my academic excellence. It provides a partial tuition fee waiver and this competitive scholarship is offered to outstanding international students globally.

Advancing Video Anomaly Detection: A Concise Review and a New Dataset

To Appear in NeurIPS 2024 Datasets and Benchmarks Track

This paper reviews Video Anomaly Detection (VAD), focusing on its applications and the need for concise resources for researchers. It highlights the importance of dataset quality in model performance and introduces the Multi-Scenario Anomaly Detection (MSAD) dataset, featuring 14 diverse scenarios. This dataset aims to improve anomaly detection across varying conditions and supports recent model analyses to address VAD challenges effectively.

TrackNetV4: Enhancing Fast Sports Object Tracking with Motion Attention Maps

Submitted to ICASSP

This paper introduces TrackNetV4, an enhancement of the TrackNet series for tracking high-speed objects like tennis balls and shuttlecocks. It addresses challenges in partial occlusion and low visibility by combining visual features with learnable motion attention maps through a motion-aware fusion mechanism. This method emphasizes key motion areas, improving tracking accuracy significantly. Experimental results confirm that TrackNetV4 enhances the performance of TrackNetV2 and V3 on relevant datasets.

Comparing Computer Resource Usage Through Interpolating Global Ecosystem Dynamics Investigation Light Detection and Ranging Waveform Data

International Conference for Advancement in Technology (ICONAT)

This study compares the computational resources used by cubic and linear splines for modeling waveforms with NASA's GEDI LiDAR data. It evaluates the efficiency and applicability of these interpolation methods for GEDI and similar datasets, aiming to guide researchers in model creation and efficiency for large-scale artificial intelligence applications.

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Delegated Client

TechLauncher Course

I am the delegated ANU client on behalf of Dr. Lei Wang. Here, I guide six students on a machine learning project focused on developing an advanced computer vision system that analyzes the dynamics of tennis swings.

Digital Operations Lead

TIME Lab

I oversee the overall digital operations of the TIME Lab, ensuring everything runs smoothly across various platforms. From website development and management to social media postings, I handle the lab’s online presence and communications. I also manage day-to-day operations, email correspondence, and external communications, making sure the lab’s activities are effectively conveyed and its digital presence remains cohesive and engaging.

Research Portfolio Officer

Undergraduate Research Society

In this role, I organise talks about research opportunities, skills, and topics. Additionally, I organise laboratory/facility tours to expose members to how research is conducted in different disciplines.

Project Lead <- IT Lead <- IT/Business Member

Formula Racing Student Club

Led an interdisciplinary team of ANU students in one of the university's largest clubs, progressing through various roles from IT/Business Member to IT Lead to Project Lead

• Project Lead: I led a 40+ member team towards their first race, managing a budget of 30K+ AUD, handling risks, tasks, conflicts, and securing sponsorships like Bosch.
• IT Lead: I set up the Autonomous Racing Car project, handled IT operations, and implemented automation processes.
• IT/Business Member: I designed automation systems, maintained the website, and secured sponsorships to support the team.