Artificial Intelligence Research Topics and Ideas

Developing AI system, emphasising physiological, text and speech data to assess and detect mental health issues

Aim:

The aim is to develop the AI system, emphasising physiological, text and speech data to assess and detect mental health issues, providing potential early support and intervention.

Objectives:

• To generate AI model to emphasis on speech patterns for early discovery of mood disorders
• To build text analysis in identifying signs of depression and anxiety in written communication
• To use physiological data to make predictive AI tool for intervention in mental health issues.

Improvement, efficiency and safety of autonomous cars in urban environment

Aim:

The aim is to enhance the efficiency and safety of autonomous cars in urban environments.

Objectives:

• To identify the process of safety and efficiency of autonomous cars
• To adopt predictive algorithms to deal with the behaviour of other users
• To explore the challenges and barriers faced in managing safety and efficiency of autonomous cars in urban environment

Enhancement of trust and transparency in AI-driven decisions in healthcare sector

Aim:

The aim is to increase the trust and transparency in AI-driven healthcare decisions.

Objectives:

• To identify the transparency and trust issues in AI-driven environment
• To explore the challenges and barriers faced in managing AI-drive environment in healthcare decisions
• To investigate the strategies to overcome those issues to tackle the decisions in healthcare sector

Enabling Drone to navigate complicated in urban environment autonomously

Aim:

The aim is to assess the drones to navigate the complex environment autonomously, such as Uneven Terrain, limited GPS and low light conditions

Objectives:

• To train a reinforcement learning agent to manage wind conditions and dynamic obstacles
• To build a collision avoidance mechanism that combines traditional control and deep RL methods
• To discuss the issues associated urban environment such as Uneven Terrain, limited GPS and low light conditions

Accelerating Procedures of drug discovery using Artificial Intelligence

Aim:

The aim of this study is to accelerate the process of drug discovery by using Artificial Intelligence

Objectives:

• To make deep learning frameworks to predict drug-target associations with high accuracy
• To form a generative framework for making novel drug related molecules
• To enhance virtual screening method to overcome experimental drug test

Enhancing the efficiency of personalised learning experiences

Aim:

The aim is to improve the effectiveness of personalised learning

Objectives:

• To build an AI-Powered learning based adaptive platform to individual needs of student
• To adopt natural language process to offer automated response on written tasks
• To emphasis on the influence of personalised education on academic performance and student involvement

Leveraging Artificial Intelligence to deal with the challenges and barriers in climate change

Aim:

The purpose is to leverage the artificial intelligence to address the challenges and barriers associated with climate change

Objectives:

• To develop predictive framework to improve the consumption and production of renewable energy
• To form Artificial Intelligence based strategies for the reduction of carbon footprint in industries
• To generate a system to combat and monitor deforestation by using Artificial Intelligence and satellite imagery.

Improving the speed and accuracy of medical diagnostics in healthcare sector of the UK

Aim:

The aim is to enhance and improve the speed and accuracy of medical diagnostics in the UK healthcare sectors

Objectives:

• To educate deep learning framework to inspect rare diseases from medical imaging information
• To adopt real-time diagnostic assistance for healthcare professionals
• To explore the challenges and barriers experience in improving the speed and accuracy of medical diagnostic
• To identify federated learning to make sure the privacy of patient data while enhancing diagnostic frameworks

Improving mitigation strategies and risk assessment of AI in financial institutions

Aim:

The aim is to improve the mitigation strategies and risk assessment of AI in financial institutions.

Objectives:

• To build the predictive framework to explore potential financial issues and market anomalies
• To develop the explainable Artificial intelligence systems for fraud detection and regulatory compliance
• To examine the incorporation of block chain and Artificial intelligence to transparent and secure financial transactions.

Promoting ethical Artificial intelligence development and Mitigating Bias

Aim:

The aim is to promote the ethical AI development and alleviate bias.

Objectives:

• To generate the ethical framework and guidelines for Artificial intelligence deployment and development
• To identify the challenges face in promoting ethical AI development and mitigating bias
• To build the mitigation strategies and bias detection for Artificial intelligence systems
• To educate the AI practitioners and public and raise the awareness and assure bias issues