Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
- Computer Science
- Medical Sciences
- Economics
- Engineering
- Business
- Arts and Literature
- Linguistics
- Science
- Law
- Humanities
- Materials Science
- Biology
- Education
- Mathematics
- Psychology
- Philosophy
- Design
- Sports and Recreation
- Chemistry
- Earth Sciences
- Environment
- Social Sciences
- Electrical Engineering
- 13 more »
- « less
-
This project investigates 3Vs of Big Data (e.g Volume, Variety, and Velocity). Volume: Due to the exponential increase in data volume, it is necessary to adopt parallelism techniques to achieve
-
the research, development, deployment ,and use of AI systems in law enforcement (LE). A major focus is expected to concern the acquisition, use, sharing and governance of data for AI in this context. The Faculty
-
, criminal capability, and involvement. The Faculty of Information Technology has a mission to advance social good through its research. Key to this mission is the AiLECS (Artificial Intelligence for Law
-
of the following would be useful: stakeholder engagement, (IT) system design, basic web programming, and technology evaluation. Experience in Indigenous and qualitative research methods is desirable, and Indigenous
-
Generative AI NLP skills System security Software testing To be eligible you must have: A first-class honours (H1) Bachelor’s degree or equivalent in the relevant research area (completed or near
-
Synthetic data generation has drawn growing attention due to the lack of training data in many application domains. It is useful for privacy-concerned applications, e.g. digital health applications
-
Monash Graduate Research Equity Supplement This top-up scholarship supplement is intended to assist with extra expenses a Graduate Research student with a disability or long-term medical condition
-
I supervise a wide range of projects in stellar astrophysics, with a focus on low and intermediate-mass stars, which have masses similar to or slightly larger than our Sun. This work is carried out
-
Testing self-driving cars is extremely difficult, as one has to account for a very large space of possible scenarios. In this project, we will explore the application of automated testing techniques
-
approximation algorithms for deriving dual bound within a branch-and-bound algorithms. Other directions could use Machine Learning or new decompositions. This subject is generally quite open so it is important to