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Md. Abdur Rouf

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Md. Abdur Rouf
Lecturer & Head


  • shohagars77@gmail.com
  • 01751194974
  • Main Building
Qualification
B.Sc. in Electrical & Electronic Engineering (EEE), North South University
M.Sc. in Electrical & Electronic Engineering (EEE), , Rajshahi University of Engineering & Technology (RUET)
Experience
Lecturer
Pundra University of Science & Technology (2022-Till now)
Hardware Engineer (R&D)
Hellotask
Teacher Assistant (TA)
North South University
Publications
1. S. S. Islam, M. S. Hossain, M. F. Shahriar, M. A. Rouf and M. M. Sakib, “Performance Investigation of Phased Array Scan Radar System for Multi-Target Detection,” 2023 26th International Conference on Computer and Information Technology (ICCIT), Cox's Bazar, Bangladesh, Dec. 2023, pp. 1-6, doi: 10.1109/ICCIT60459.2023.10441142.
2. S. S. Islam, M. S. Hossain, M. F. Shahriar, M. A. Rouf, S. N. Kakoli and M. S. Jafor, “Assessment of Phased Array Radar Performance in Multi-Object Detection for Enhanced Surveillance,” 2024 3rd International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE), Gazipur, Bangladesh, Apr. 2024, pp. 1-6, doi: 10.1109/ICAEEE62219.2024.10561858.
3. M. A. Rouf, S. S. Islam, M. S. Hossain and M. A. Khanam, “Machine Learning Approach for Efficient Radar Target Classification,” 2nd International Conference on Next-Generation Computing, IoT and Machine Learning (NCIM-2025), Gazipur, Bangladesh, Jun. 2025. (Under Review)
4. M. A. Rouf, Md. Abu Sayed, M. S. Hossain "Simulation-Based Warhead Target Screening Using Machine Learning and Deep Learning Techniques in MATLAB "International Conference on Emerging Technologies for Sustainable Development (ICETSD 2025), Jessore, Bangladesh, February 2025.
Research
Field of Interest: Antenna Design, Radar System, Wireless Communication, Signal Processing, Embedded System, Machine learning
Undergraduate (B.Sc.) Research: A Single-Stage Single-Switch LED Driver Based on the Integrated SEPIC Circuit and Class- E Converter.
Postgraduate (M.Sc.) Research: Warhead-type target classification using machine learning and Radar signal processing techniques (on-going)
Others