Don't miss our weekly PhD newsletter | Sign up now Don't miss our weekly PhD newsletter | Sign up now

We have 11 Artificial Intelligence (radar) PhD Projects, Programmes & Scholarships for Self-funded Students

Discipline

Discipline

Computer Science

Location

Location

All locations

Institution

Institution

All Institutions

PhD Type

PhD Type

All PhD Types

Funding

Funding

I am a self funded student


Artificial Intelligence (radar) PhD Projects, Programmes & Scholarships for Self-funded Students

We have 11 Artificial Intelligence (radar) PhD Projects, Programmes & Scholarships for Self-funded Students

Gesture-Agnostic Radar-Based Hand Tracking for VR/AR Systems

Supervisory Team:  Dr Shelly Vishwakarma. Project description. Virtual reality (VR) and augmented reality (AR) are rapidly becoming integral to our digital experiences, necessitating the need for interfaces that are both non-intrusive and safeguard user privacy. Read more

Neuromorphic photonic-electronic integrated circuits for fast and efficient SPIKE-based information PROcessing (SPIKEPRO)

The human brain is exceptional at performing highly complex tasks fast and efficiently. Hence, neuromorphic (brain-like) information processing is receiving increasing research interest for use in novel computing and Artificial Intelligence (AI) hardware. Read more

Remote patient monitoring using wearable devices and AI

Artificial intelligence (AI) has permeated various aspects of modern life, significantly influencing the healthcare sector. Fuelled by this momentum, remote patient monitoring facilitated by mobile sensing technology is on the way to changing how patients are monitored and treated. Read more

Searching for Anomalies on Mars [SELF-FUNDED STUDENTS ONLY]

  Research Group: Visual Computing
In recent years, space agencies such as NASA and the European Space Agency (ESA) have conducted extensive planetary surveys, amassing a colossal volume of data from various celestial bodies, including Mars, the Moon, and through radar surveys of Venus and smaller celestial objects. Read more

Searching for Anomalies on Mars

  Research Group: Visual Computing
In recent years, space agencies such as NASA and the European Space Agency (ESA) have conducted extensive planetary surveys, amassing a colossal volume of data from various celestial bodies, including Mars, the Moon, and through radar surveys of Venus and smaller celestial objects. Read more

Data-Centric Solutions for Earth Observation Challenges: Developing Cutting-Edge Techniques for Remote Sensing Analysis [SELF-FUNDED STUDENTS ONLY]

In today's data-driven landscape, the importance of data-centric machine learning methodologies cannot be overstated where they prioritize the quality, diversity, and accessibility of data, recognizing that the performance and reliability of machine learning models heavily depend on the data they are trained on. Read more

Data-Centric Solutions for Earth Observation Challenges: Developing Cutting-Edge Techniques for Remote Sensing Analysis

In today's data-driven landscape, the importance of data-centric machine learning methodologies cannot be overstated where they prioritize the quality, diversity, and accessibility of data, recognizing that the performance and reliability of machine learning models heavily depend on the data they are trained on. Read more
  • 1

Filtering Results