Improved Contamination Monitoring via Sensor Fusion and Machine Learning for Nuclear Threat Reduction (NTR). Supervisors. Dr Charles Kind, Dr Loren Picco. Read more
The mission of the Computer Vision (CV) Department at MBZUAI is to develop and maintain high-quality graduate programs in CV and conduct research that yields tangible projects and patents that we can introduce to the market. Read more
This project aims to design new computational algorithms at the interface of statistical modelling, optimization and deep learning to solve multimodal inverse problems for 3D imaging. Deadline first round. Read more
With the development of deep learning approaches and convolutional neural networks (CNN) in particular, the task of recognising objects from an image has become associated with the ability to train a network using a large number of labelled images for each class of interest [He2016]. Read more
Project description. Applications are invited for a fully funded PhD studentship to study early word learning in the Department of Psychology, Lancaster University. Read more
These days it is difficult to tell whether a piece of text has been written by a human being or generated by a Large Language Model (LLM) such as ChatGPT. Read more
This PhD project will investigate how humans perceive object properties and their environment through sound, focusing on single impact sounds. The… Read more
Facial recognition is one of the most academically studied and industrially developed areas within computer vision where we readily find associated applications deployed globally. Read more
Smart CCTV systems have been subject on an increased interest during the last decades. There are many reasons for this interest, such as the need of processing quickly, in an automatic way huge amounts of video data. Read more
Defect detection is an important research topic in areas such as industrial manufacturing and equipment maintenance. In an industrial production line, an effective defect detection system can identify defects in raw materials early, thereby improving the yield rate and enhancing economic benefits. Read more
Computer vision has revolutionised the way machines perceive and interact with the world, enabling advancements in autonomy, scene understanding, anomaly detection, and multimodal AI. Read more
Recent advances in bio-inspired neuromorphic hardware and neuromorphic sensors enable more efficient methodologies for computer vision tasks, aiming to minimise the cost, latency and energy consumption of real-time vision systems. Read more
Human data is centric to many computer science, machine learning and biomedical engineering research. Such data includes human images/videos, motions and trajectories, medical images (X-ray, MRI, CT), faces, gestures, medical records, etc. Read more
I am currently welcoming PhD application in two main areas, although I'm happy to consider applications in any of my areas of expertise (memory, perception, and attention). Read more
I am currently welcoming MSc R application in two main areas, although I'm happy to consider applications in any of my areas of expertise (memory, perception, and attention). Read more
*Offer only available for the duration of your active subscription, and subject to change. You MUST claim your prize within 72 hours, if not we will redraw.
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