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increase in data volume, it is necessary to adopt parallelism techniques to achieve reasonable query response time. The main focus will be on parallel query processing, which is the main driver for Big Data
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Primary supervisor Mohammad Goudarzi Research area Databases and Distributed Systems In EdgeVLMOpt (EVO): Optimizing Vision-Language Models for Resource-Constrained Edge Devices , we aim to develop
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, computer vision, artificial intelligence, and robotics venues. Depending on the contribution and maturity of the work, relevant conferences include NeurIPS, CVPR, etc, while extended studies may be
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Primary supervisor Mohammad Goudarzi Research area Databases and Distributed Systems In EdgeVLMOpt (EVO): Optimizing Vision-Language Models for Resource-Constrained Edge Devices , we aim to develop
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estimation, gaze estimation, speech/audio processing, temporal modelling, or human-robot interaction would also be beneficial. Candidates with a strong machine-learning or computer-vision background
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Primary supervisor Sarvnaz Karimi Co-supervisors Wray Buntine Research area Vision and Language Large language models increasingly adapt using external feedback to alter inference-time behaviour
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original frameworks for future applications of Machine Learning and Computer Vision techniques to interpret and filter ecologically relevant information from social network site data. The applications and
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Selection. In M. Palanaswami, C. Chandra Sekhar, G. Kumar Venayagamoorthy, S. Mohan and M. K. Ghantasala (eds.), International Conference on Intelligent Sensing and Information Processing (ICISIP), Chennai
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Selection. In M. Palanaswami, C. Chandra Sekhar, G. Kumar Venayagamoorthy, S. Mohan and M. K. Ghantasala (eds.), International Conference on Intelligent Sensing and Information Processing (ICISIP), Chennai
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also able to supervise any machine-learning or decision-making processes. This is an ambitious goal involving many sub-problems concerning: activity capture (incorporating computer vision and sensor