Research Projects

Research projects focus on theoretical exploration and generate new knowledge through original research, supported by an academic supervisor.

Students begin by identifying a research problem, followed by a literature review, the development of hypotheses, and the undertaking of experimentation or analysis, with the aim of advancing understanding within a specific field or domain.

Research projects often involve developing new algorithms, models, or techniques to address complex problems or challenges.

What industry partners can expect:

Outcomes for industry partners typically include a research paper and/or a prototype that demonstrates the findings and contributions of the work.

Computer Science Subject

  • Subject Coordinator: Cezary Kaliszyk, cezary.kaliszyk@unimelb.edu.au

    Length of project: Year-Long, full time (i.e. students work on the project 100% without taking any other subjects during the 2 semester)

    Subject details:

    These year-long projects offer an opportunity to engage with emerging talent on complex problems that require a deep investigation in computer science research, which involves identification of an appropriate research question, planning and execution of experimental or theoretical research, synthesis of research findings and potentially develop software prototypes. Although software implementation will be involved and a prototype may be part of the deliverables, the primary outcome of the collaboration is to offer industry partner with valuable insights and knowledge derived from the research findings, which can help address intricate challenges within their operations.

    Examples of Projects:

    • Vision Language Models for Coastal Monitoring
    • Automated Evaluation for LLM-based software development and code review
    • Breath Tracking using a Depth Camera for XV Scanner
    • AI-Driven Text Communication in Clinical VR
    • Using robot dogs for remote space exploration and fetching objects

Computing Subjects

  • Subject Coordinators:


    Length of project: 1 Semester – Only available in Semesters 1 & 2

    Subject details:

    This subject offers industry partner an excellent opportunity to collaborate with high-achieving students who have scored highly in their studies. These top-tier students will conduct detailed research on significant issues within the field of Computing, AI, Distributed Computing, and Cybersecurity that require in-depth investigation. Students will potentially develop software and prototypes, with a primary focus on delivering valuable insights and innovative solutions to industry partner's challenges. This collaboration offers industry partners  with high-quality research and analysis tailored to their specific needs, benefiting from the involvement of high-performing students.

    Examples of Projects:

    • AI-driven models of human visual cognition
    • Enhancing immersion in VR with human-robot collaboration
    • Distributed algorithms for knowledge graph alignment
    • Multi-GPU, High-Performance Computational Algorithms for Quantum Molecular Simulations
    • Cloud-Device Collaborative Learning via small and large language models for mobile health
    • LLM Natural Language Processing for Digital Forensics

  • Subject Coordinators:


    Length of project: 1 Semester – Only available in Semesters 1 & 2

    Subject details:

    Students will carry out complex real-world challenges through research, analysis, and potentially create software and prototypes. This collaboration offers industry partners with valuable insights and innovative solutions to their specific problems, leveraging the students' research and analytical skills.

    Examples of Projects:

    • Advancing Spatial Queries: From Keyword-Based to Vector Search
    • Interpretable Deep Learning Model for Multi-Label Review Classification
    • Anomaly detection on Satelite telemetry data
    • A Trustworthy LLVM Backend of the Cogent Compiler

What's next?

Submit a project proposal describing your challenge and intended collaboration with students. Our team will review your submission and will be in touch shortly.

Subject a Project Proposal

Student working by herself

Questions about the program? We’re here to help.

Contact Professor Leon Sterling
Email:
leonss@unimelb.edu.au
Phone:
+61 3 9214 8491