Research

List of Topics

Research Grants

Principal Investigator (PI): Hashim Ali

Co- Investigator (CoI): Muhammad Tahir Akhtar

Research Fund: Faculty Development Competitive Research Grants Program

Project Duration: 3 years (Jan 2024 - Dec 2026)

Budget Requested:  USD 150,000.00

Pure ID: xxxxxxxxx 

Grant No.:  xxxxxxxx

Result: UNSUCCESSFUL 

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

Research Fund: NU Collaborative Research-grants Program (CRP) (FY2021-CRP-1)

Project Duration: 3 years (Jan 2021 - Dec 2023)

Budget: USD 449, 474.00

Grant No.:  021220CRP0222

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. Design and Development of Photovoltaic Integrated Grid-Tied Converter for Power Quality Enhancements

   (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)

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)

1. Study and Implementation of Data-Driven Approaches for Signal Decomposition   (2023)

2. Deep Learning for Histopathological Cancer Classification and Localization   (2023)  

3. Application of Spectrogram-based Techniques in Brain Computer Interface (BCI) Applications    (2023)

4. Efficient Hardware Implementation of Adaptive Digital Filters   (2023)

5. Surface Electromyography Signal Processing for Myoelectric Prosthesis Design  (2023)

6. Computational Auditory Scene Analysis using Signal Processing and Machine Learning Techniques (2022)

7. Deep Learning-based Efficient Techniques for Machine Vision Applications (2022)

8. Study and Implementation of Sources Localization Techniques (2021)

9. Implementation of Advanced Adaptive Algorithms for Howling Cancellation (2021)

10. Machine Learning Algorithms for Modern Hearing Aids (2021)

11. Active Noise Control in a Duct: Prototype Design and Implementation (2019)