Principal Investigator (PI): Muhammad Tahir Akhtar
Co- Investigator (CoI): Felix Albu
Research Fund: Faculty Development Competitive Research Grants Program
Project Duration: 3 years (Jan 2019 - Dec 2021) (Extension till 31-March-2022)
Budget Requested: USD 108,700.00
Pure ID: 15876152
Grant No.: 110119FD4525
Graduation Thesis
1.AI-based EEG Signal Processing for Emotion Recognition and Mind State Analysis (2025)
2.Design and Development of Photovoltaic Integrated Grid-Tied Converter for Power Quality Enhancements
(As a co-supervisor with Prof. Mehdi Shafiee) (2023)
3.Design of Germanium P-type point contact detector ASIC preamplifier (As a co-supervisor with Prof. Mehdi Shafiee)
4.Meta-Classification of Brain Signals in P300 Speller (2021)
5.Performance Analysis of Multichannel Noise Reduction Algorithms in Digital Hearing Aids (2021)
6.Employing Deep Learning Techniques for Classification and Detection of Pediatric Lung Disease Using X-Ray Images (As a co-supervisor with Prof. Adnan YAZICI ) (2021)
CAPSTONE (Undergraduate Final Year Projects)
2025
1.Exploring Advanced Machine Learning Techniques for Efficient Prediction of Preterm Birth
2.Investigating Expressive Power Capabilities of Graph Neural Networks
3.Application of Convolutional Neural Networks and Vision Transformers in Cancer Grading in Pathology Images
2024
1.Blind Source Separation (BSS) for the Automatic Music Transcription (AMT)
2.Study and Implementation of Active Noise Control Systems for Magnetic Resonance Imaging
3.Study and Implementation of Advanced Algorithms for Speech Enhancement
2023
1.Study and Implementation of Data-Driven Approaches for Signal Decomposition
2.Deep Learning for Histopathological Cancer Classification and Localization
3.Application of Spectrogram-based Techniques in Brain Computer Interface (BCI) Applications
4.Efficient Hardware Implementation of Adaptive Digital Filters
5.Surface Electromyography Signal Processing for Myoelectric Prosthesis Design
2022
1.Computational Auditory Scene Analysis using Signal Processing and Machine Learning Techniques
2.Deep Learning-based Efficient Techniques for Machine Vision Applications
2021
1.Study and Implementation of Sources Localization Techniques
2.Implementation of Advanced Adaptive Algorithms for Howling Cancellation
3.Machine Learning Algorithms for Modern Hearing Aids
2019
1.Active Noise Control in a Duct: Prototype Design and Implementation