Research
List of Topics
List of Topics
- Adaptive Digital Filters
- Active Noise Control
- Digital Hearing Aids
- ICA & Blind Source Separation
- Biomedical Signal Processing
- Audio Signal Processing
- BCI Methods & Applications
- Computer Vision & Applications
Research Grants
Research Grants
- On Multi-objective Optimization Algorithms for Sustainable and Energy-Efficient Transportation (in submission)
Principal Investigator (PI): Hashim Ali
Principal Investigator (PI): Hashim Ali
Co- Investigator (CoI): Muhammad Tahir Akhtar
Co- Investigator (CoI): Muhammad Tahir Akhtar
Research Fund: Faculty Development Competitive Research Grants Program
Research Fund: Faculty Development Competitive Research Grants Program
Project Duration: 3 years (Jan 2024 - Dec 2026)
Project Duration: 3 years (Jan 2024 - Dec 2026)
Budget Requested: USD 150,000.00
Budget Requested: USD 150,000.00
Pure ID: xxxxxxxxx
Pure ID: xxxxxxxxx
Grant No.: xxxxxxxx
Grant No.: xxxxxxxx
Result: UNSUCCESSFUL
Result: UNSUCCESSFUL
Principal Investigator (PI): Mohammad Shabi HASHMI
Principal Investigator (PI): Mohammad Shabi HASHMI
Co-Principal Investigators (Co-PIs): Prashant Kumar JAMWAL, Subramanian Venkat, Galymzhan Nauryzbayev, Muhammad Tahir Akhtar, Balbayev Gani Kudaibergenovich, Christos Spitas, Sultangali Arzykulov, Alipbayev Kuanysh Aringozhaevich
Co-Principal Investigators (Co-PIs): Prashant Kumar JAMWAL, Subramanian Venkat, Galymzhan Nauryzbayev, Muhammad Tahir Akhtar, Balbayev Gani Kudaibergenovich, Christos Spitas, Sultangali Arzykulov, Alipbayev Kuanysh Aringozhaevich
Research Fund: NU Collaborative Research-grants Program (CRP) (FY2021-CRP-1)
Research Fund: NU Collaborative Research-grants Program (CRP) (FY2021-CRP-1)
Project Duration: 3 years (Jan 2021 - Dec 2023)
Project Duration: 3 years (Jan 2021 - Dec 2023)
Budget: USD 449, 474.00
Budget: USD 449, 474.00
Grant No.: 021220CRP0222
Grant No.: 021220CRP0222
Principal Investigator (PI): Muhammad Tahir Akhtar
Principal Investigator (PI): Muhammad Tahir Akhtar
Co- Investigator (CoI): Felix Albu
Co- Investigator (CoI): Felix Albu
Research Fund: Faculty Development Competitive Research Grants Program
Research Fund: Faculty Development Competitive Research Grants Program
Project Duration: 3 years (Jan 2019 - Dec 2021) (Extension till 31-March-2022)
Project Duration: 3 years (Jan 2019 - Dec 2021) (Extension till 31-March-2022)
Budget Requested: USD 108,700.00
Budget Requested: USD 108,700.00
Pure ID: 15876152
Pure ID: 15876152
Grant No.: 110119FD4525
Grant No.: 110119FD4525
Graduation Thesis
Graduation Thesis
1. Design and Development of Photovoltaic Integrated Grid-Tied Converter for Power Quality Enhancements
1. Design and Development of Photovoltaic Integrated Grid-Tied Converter for Power Quality Enhancements
(As a co-supervisor with Prof. Mehdi Shafiee) (2023)
(As a co-supervisor with Prof. Mehdi Shafiee) (2023)
2. Performance Analysis of Intelligent and Surface-Enabled Wireless Networks (As a co-supervisor with Prof. Galymzhan)
2. Performance Analysis of Intelligent and Surface-Enabled Wireless Networks (As a co-supervisor with Prof. Galymzhan)
3. Design of Germanium P-type point contact detector ASIC preamplifier (As a co-supervisor with Prof. Mehdi Shafiee)
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)
4. Meta-Classification of Brain Signals in P300 Speller (2021)
5. Performance Analysis of Multichannel Noise Reduction Algorithms in Digital Hearing Aids (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
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)
(As a co-supervisor with Prof. Adnan YAZICI ) (2021)
CAPSTONE (Undergraduate Final Year Projects)
CAPSTONE (Undergraduate Final Year Projects)
1. Study and Implementation of Data-Driven Approaches for Signal Decomposition (2023)
1. Study and Implementation of Data-Driven Approaches for Signal Decomposition (2023)
2. Deep Learning for Histopathological Cancer Classification and Localization (2023)
2. Deep Learning for Histopathological Cancer Classification and Localization (2023)
3. Application of Spectrogram-based Techniques in Brain Computer Interface (BCI) Applications (2023)
3. Application of Spectrogram-based Techniques in Brain Computer Interface (BCI) Applications (2023)
4. Efficient Hardware Implementation of Adaptive Digital Filters (2023)
4. Efficient Hardware Implementation of Adaptive Digital Filters (2023)
5. Surface Electromyography Signal Processing for Myoelectric Prosthesis Design (2023)
5. Surface Electromyography Signal Processing for Myoelectric Prosthesis Design (2023)
6. Computational Auditory Scene Analysis using Signal Processing and Machine Learning Techniques (2022)
6. Computational Auditory Scene Analysis using Signal Processing and Machine Learning Techniques (2022)
7. Deep Learning-based Efficient Techniques for Machine Vision Applications (2022)
7. Deep Learning-based Efficient Techniques for Machine Vision Applications (2022)
8. Study and Implementation of Sources Localization Techniques (2021)
8. Study and Implementation of Sources Localization Techniques (2021)
9. Implementation of Advanced Adaptive Algorithms for Howling Cancellation (2021)
9. Implementation of Advanced Adaptive Algorithms for Howling Cancellation (2021)
10. Machine Learning Algorithms for Modern Hearing Aids (2021)
10. Machine Learning Algorithms for Modern Hearing Aids (2021)
11. Active Noise Control in a Duct: Prototype Design and Implementation (2019)
11. Active Noise Control in a Duct: Prototype Design and Implementation (2019)