Prof Amir Hussain's Projects (10)

Stretchable Piezoionic/Piezoelectric gel membrane with controlled data analysis using machine learning for electromechanical sensing Jul 1, 2024 - Jun 30, 2025
In this project the team will develop a next generation of ionic gel-based piezoelectric membrane-based hearing sensors that have a potential response to mHz to MHz frequency range and low power requirement or could be self-powered due to the format... Read More about Stretchable Piezoionic/Piezoelectric gel membrane with controlled data analysis using machine learning for electromechanical sensing.

Using Artificial Intelligence (AI) to enhance pharmacovigilance and side-effect reporting of new drugs Oct 1, 2024 - Sep 30, 2027
The proposed PhD research will be conducted as part of the esteemed UK EPSRC funded COG-MHEAR research program, which aims to revolutionize the field of hearing assistive technology through the development of personalized multimodal solutions. This r... Read More about Using Artificial Intelligence (AI) to enhance pharmacovigilance and side-effect reporting of new drugs.

Evaluation of Federated Machine Unlearning using Membership Inference Attacks Oct 1, 2023 - Sep 30, 2026
Federated Learning (FL) is a type of distributed Machine Learning (ML) training technique that allows for accurate predictions without sharing sensitive data. This is possible, as FL allows everyone to train their own localised model and only share t... Read More about Evaluation of Federated Machine Unlearning using Membership Inference Attacks.

Cross-lingual Audio-visual Speech Enhancement based on Deep Multimodal Learning Jun 1, 2023 - May 31, 2025
Speech enhancement and separation techniques are often used to improve the quality and intelligibility of speech degraded by background distractions, including speech and non-speech noises. We aim to change the current landscape of research and innov... Read More about Cross-lingual Audio-visual Speech Enhancement based on Deep Multimodal Learning.

Towards multilingual audio-visual speech enhancement in real noisy environments Feb 17, 2023 - Feb 16, 2025
Speech enhancement aims to improve the overall quality and intelligibility of speech degraded by noise sources in real-world noisy environments. In recent years, researchers have proposed audio-visual speech enhancement models that go beyond traditio... Read More about Towards multilingual audio-visual speech enhancement in real noisy environments.

Security and Privacy in Vehicular Ad-hoc Networks Mar 1, 2022 - Sep 30, 2024
The great leap forward in wireless communications technology drives the recent advancements of Vehicular Ad hoc NETworks (VANETs). As a key part of the Intelligent Transportation Systems (ITS) framework, VANETs offer active road safety, and traffic e... Read More about Security and Privacy in Vehicular Ad-hoc Networks.

KTP Ace Aquatec Jun 1, 2021 - Nov 30, 2023
To develop, test and incorporate Innovative AI based approaches to improve accuracy of Individual fish identification and sea lice detection.

Artificial Intelligence (AI)-powered dashboard for COVID-19 related public sentiment and opinion mining in social media platforms May 1, 2020 - Nov 17, 2020
: The project will aid in understanding and mitigating the direct and indirect impacts of the COVID-19 pandemic, by creating an AI-driven dashboard for policymakers, public health and clinical practitioners. This will enable continuous monitoring, pr... Read More about Artificial Intelligence (AI)-powered dashboard for COVID-19 related public sentiment and opinion mining in social media platforms.

COG-MHEAR: Towards cognitively-inspired, 5G-IoT enabled multi-modal hearing aids Mar 1, 2021 - Feb 28, 2026
Embracing the multimodal nature of speech presents both opportunities and challenges for hearing assistive technology:
on the one hand there are opportunities for the design of new multimodal audio-visual (AV) algorithms; on the other hand,
multimo... Read More about COG-MHEAR: Towards cognitively-inspired, 5G-IoT enabled multi-modal hearing aids.

Natural Language Generation for Low-resource Domains Mar 1, 2021 - Dec 31, 2024
In the UK, around one in four people suffer from a mental health problem every year [1]. Mental well-being can affect all aspects of our lives, including our work, relationships, and family lives. A lack of personalised information along with the men... Read More about Natural Language Generation for Low-resource Domains.