Md. Tarek Hassan- Doctor of Philosophy
- PhD Student at Queen's University Belfast
Md. Tarek Hassan
- Doctor of Philosophy
- PhD Student at Queen's University Belfast
Doctoral Researcher at Queen's University Belfast
About
16
Publications
524
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20
Citations
Introduction
Tarek Hassan is currently pursuing a Doctor of Philosophy (Ph.D.) in the School of Electronics, Electrical Engineering and Computer Science (EEECS) at Queen's University Belfast. Mr. Hassan has been actively engaged in areas of 5G, Beyond 5G (B5G), and 6G wireless communications, with a focus on mmWave communications, machine learning (ML), and edge computing. His research interests extend to Reconfigurable Intelligent Surfaces (RIS), Integrated Sensing and Communications (ISAC) for 6G systems.
Current institution
Additional affiliations
January 2016 - present
Position
- Lecturer
Description
- Md. Tarek Hassan is now working as a Lecturer in the Department of Electronics and Telecommunication Engineering (ETE) of Rajshahi University of Engineering and Technology (RUET), Rajshahi, Bangladesh. He has been working in the area of Machine Learning (ML), Edge Computing, Internet of things (IoT), 6G Wireless Communications, Radio resource management, and Millimeter Wave Communications for the last one and half years. He has published some research papers and posters in this field.
August 2019 - present
Position
- PhD Student
Description
- Doing the undergraduate thesis under the supervision of Dr. Md. Munjure Mowla
Education
January 2020 - November 2020
Field of study
- Electronics & Telecommunication Engineering
Publications
Publications (16)
The millimeter wave (mmWave) communication is now considered as a predominant technology for fifth generation (5G) systems to meet the surging needs of traffic by ensuring massive bandwidth with high dimensional antennas. However, transmission control protocol (TCP) analysis due to mobility is still complex in nature. In addition, packet trip lengt...
The objective of this research is to know the predictive capacity of three LUCC models in the Baja California peninsula, Mexico, generated in 2008. Through the cartographic update method, three maps of roofs and uses of the Soil since 2018. This was done with remote sensing tools, geographic information systems, use of statistical analysis (R) soft...
The millimeter wave (mmWave) communication is now considered as a predominant technology for fifth generation (5G) systems to meet the surging needs of traffic by ensuring massive bandwidth with high dimensional antennas. However, transmission control protocol (TCP) analysis due to mobility is still complex in nature. In addition, packet trip lengt...
A proposed MAC Scheduler is instituted for mmWave communication that will do better resource distribution by allocating resources according to users' priority and conditions. Following the existing Proportional Fair (PF), the proposed scheduler can be used for automatically selecting different reliable mobility models e.g., constant mobility model,...
Reconfigurable Intelligent Surfaces (RIS) have emerged as a transformative technology, revolutionizing wireless communication systems by enabling dynamic manipulation of radio waves. Integrating this capability, the End-to-End (E2E) learning approach amalgamates RIS into the wireless communication paradigm, offering adaptive and efficient communica...
Due to its broad (10-300 GHz) spectrum and potential for widespread use in 5G applications, millimeter wave (mmWave) technology is proposed as an alternative to optical fiber for backhaul. However, human blockage as well as rapid channel fluctuation caused by user movement are two of the biggest obstacles to mmWave communication implementation in t...
Questions
Questions (2)
Actually I was to trying to develop a scheduling algorithm i.e., Round Robin (RR) or Proportional Fair (PF) through reinforcement learning in python. I was looking for a source code from that I can go through. Anyone from the interests can help me in this will be appreciated.
Hi,
I was working for mac scheduling in 5G mmwave mobile networks. Actually I want to develop Round Robin (RR) and PR algorithm. Which base code is preferable with the relevant work? Any .cc or .py file that will be helpful for the relevant purpose.
Anyone who can can help in this matter will be appreciated.
Thank you.
