Completed project
Title: Non-invasive EEG based Cognitive Load Estimation during the Interaction with Electronic Devices
Funded by: Research and Publication Cell, University of Chittagong, Bangladesh
Period: 2024-03-10 ~ 2024-12-09
Role: leader
Project Summary:
· Cognitive load and mental fatigue computation.
· Different statistical and ML techniques can be investigated for the best outcome.
Title: Speech Recognition using Non-invasive Brain-Computer Interface Technique and Machine Learning for Speech Impaired Patients
Funded by: Research and Publication Cell, University of Chittagong, Bangladesh
Period: 2021-09-09 ~ 2022-06-09
Role: leader
Project Summary:
· Envisioned speech recognition of speech impaired people by using EEG signals captured by EEG sensors.
· Different ML techniques can be investigated for the best outcome.
Title: Energy and Spectral Efficient Protocol for SWIPT-aided IoT Networks Towards 5G and Beyond
Funded by: Research and Publication Cell, University of Chittagong, Bangladesh
Period: 2019-09-04 ~ 2020-06-04
Role: leader
Project Summary:
Fulfilling the capacity and energy demands simultaneously is a challenging problem to be solved for IoT networks towards 5G and beyond (5G-B). Among the various challenging requirements of 5G-B, spectral efficiency and energy efficiency are the two key requirements. Therefore, it is time demand to design new protocols which are both energy and spectral efficient. By considering this issue, a novel protocol is proposed for wireless powered IoT networks by exploiting NOMA and interference-aided simultaneous wireless information and power transfer (SWIPT) which is expected to be both spectral and energy efficient.