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Assoc. Prof. Dr. Farman Ali | Optical Communication | Best Researcher Award

Associate Professor at Qurtuba University of Science and Information Technology, Pakistan

Dr. Farman Ali is a postdoctoral researcher at Nanjing University of Aeronautics and Astronautics, China. He specializes in UAV communication, optical fiber communication, nonlinear optics, free-space optics, and AI integration in wireless networks. He has extensive academic and research experience, with a strong publication record in top-tier journals and conferences. His work focuses on UAV-to-ground and UAV-to-ship communication, radio-over-fiber systems, and machine learning-based optimization in optical networks.

Publication Profileย 

Orcid

Google Scholar

Educational Background ๐ŸŽ“

  • Ph.D. in Electrical Engineering โ€“ Iqra National University (2019)
  • M.S. in Electrical Engineering โ€“ Sarhad University, Peshawar (2014)
  • B.E. in Electrical Engineering โ€“ Sarhad University, Peshawar (2011)
  • Diploma in Electrical Engineering (DAE) โ€“ Government College of Technology, Nowshera (2007)

Professional Experience ๐Ÿ’ผ

  • Postdoctoral Researcher โ€“ Nanjing University of Aeronautics and Astronautics, China (Apr 2023 โ€“ Mar 2025)
  • Associate Professor & ORIC In-Charge โ€“ Qurtuba University of Science and IT, Pakistan (Dec 2019 โ€“ Mar 2023)
  • Convener, Occupational Safety and Health (OSH) Committee โ€“ Qurtuba University of Science and IT, Pakistan (Since 2020)
  • HEC Approved Supervisor

Research Interests ๐Ÿ”ฌ

  • UAV Channel Modeling (UAV-to-ground, UAV-to-ship communication)
  • Optical Fiber and Free Space Optics
  • AI Integration in Wireless Communication
  • Nonlinear Optics and Machine Learning in Optical Networks
  • Radio-over-Fiber Systems
  • 5G+ Networks and Heterogeneous Communication

Awards and Honors๐Ÿ†โœจ

  • Multiple research projects funded by China National Key R&D Program, the Natural Science Foundation of China, Najran University (Saudi Arabia), European Unionโ€™s Horizon 2020, Taif University (Saudi Arabia), Silesian University of Technology (Poland), and Korea Ministry of SMEs and Startups.
  • Active involvement in cutting-edge research with over 594 citations, h-index of 14, and i10-index of 24.

Conclusion๐ŸŒŸ

Dr. Farman Ali is a distinguished researcher in UAV communication, optical networks, and AI-driven wireless systems. With a strong academic background, multiple funded research projects, and significant contributions to scientific literature, he continues to shape the future of intelligent wireless communication and optical networking.

Publications ๐Ÿ“š

1๏ธโƒฃ ๐Ÿ“ก Path Loss and Shadowing for UAV-to-Ground UWB Channels Incorporating the Effects of Built-Up Areas and Airframe
๐Ÿ› IEEE Transactions on Intelligent Transportation Systems (2024)
๐Ÿ”— DOI: 10.1109/TITS.2024.3418952
โœ๏ธ Haoran Ni, Qiuming Zhu, Boyu Hua, Kai Mao, Yinglan Pan, Farman Ali, Weizhi Zhong, Xiaomin Chen


2๏ธโƒฃ ๐Ÿ“ถ Heightโ€Dependent LoS Probability Model for A2G Channels Incorporating Airframe Shadowing Under Builtโ€Up Scenario
๐Ÿ› Electronics Letters (2024-09)
๐Ÿ”— DOI: 10.1049/ell2.70032
โœ๏ธ Farman Ali, Yinglan Pan, Qiuming Zhu, Naeem Ahmad, Kai Mao, Habib Ullah


3๏ธโƒฃ ๐Ÿค– Generative Network-Based Channel Modeling and Generation for Air-to-Ground Communication Scenarios
๐Ÿ› IEEE Communications Letters (2024-04)
๐Ÿ”— DOI: 10.1109/LCOMM.2024.3363621
โœ๏ธ Yue Tian, Hanpeng Li, Qiuming Zhu, Kai Mao, Farman Ali, Xiaomin Chen, Weizhi Zhong


4๏ธโƒฃ ๐ŸŽฏ Low-Complexity 2D-DOD and 2D-DOA Estimation in Bistatic MIMO Radar Systems: A Reduced-Dimension MUSIC Algorithm Approach
๐Ÿ› Sensors (2024-04-27)
๐Ÿ”— DOI: 10.3390/s24092801
โœ๏ธ Mushtaq Ahmad, Xiaofei Zhang, Xin Lai, Farman Ali, Xinlei Shi


5๏ธโƒฃ ๐Ÿ“ก Height-Dependent LoS Probability Model for A2G Channels Incorporating Airframe Shadowing Under Built-up Scenario
๐Ÿ› Preprint (2024-03-12)
๐Ÿ”— DOI: 10.22541/au.171024427.76113032/v1
โœ๏ธ Farman Ali, Yinglan Pan, Qiuming Zhu, Naeem Ahmed, Kai Mao, Habib Ullah


6๏ธโƒฃ ๐Ÿ’ก Probing of Nonlinear Impairments in Long Range Optical Transmission Systems
๐Ÿ› Journal of Optical Communications (2024-02-13)
๐Ÿ”— DOI: 10.1515/joc-2020-0018
โœ๏ธ Farman Ali, Muhammad Shakeel, Asar Ali, Wajid Shah, Muhammad Salman Qamar, Shabbir Ahmad, Usman Ali, Muhammad Waqas


7๏ธโƒฃ ๐Ÿ”— Integrated Free-Space Optics and Fiber Optic Network Performance Enhancement for Sustaining 5G High Capacity Communications
๐Ÿ› International Journal of Optics (2023-01-13)
๐Ÿ”— DOI: 10.1155/2023/8685686
โœ๏ธ Meshari Alsharari, Khaled Aliqab, Farman Ali, Ammar Armghan, Rujiang Li


8๏ธโƒฃ ๐Ÿ“ก Architecture Optimization for Filtered Multicarrier Waveforms in 5G
๐Ÿ› Wireless Personal Communications (2022-06)
๐Ÿ”— DOI: 10.1007/s11277-022-09537-w
โœ๏ธ Muhammad Abid, Farman Ali, Ammar Armghan, Fayadh Alenezi, Sharoz Khan, Fazal Muhammad, Maqsood Ahmad Khan, Muhammad Salman Qamar


9๏ธโƒฃ ๐ŸŒŠ High-Resolution Direction of Arrival Estimation of Underwater Multitargets Using Swarming Intelligence of Flower Pollination Heuristics
๐Ÿ› Shock and Vibration (2022-06-30)
๐Ÿ”— DOI: 10.1155/2022/5876874
โœ๏ธ Nauman Ahmed, Huigang Wang, Shanshan Tu, Norah A.M. Alsaif, Muhammad Asif Zahoor Raja, Muhammad Kashif, Ammar Armghan, Yasser S. Abdalla, Wasiq Ali, Farman Ali et al.


๐Ÿ”Ÿ ๐Ÿ”„ Alleviation of Nonlinear Channel Effects in Longโ€Haul and Highโ€Capacity Optical Transmission Networks
๐Ÿ› International Journal of Communication Systems (2022-03-10)
๐Ÿ”— DOI: 10.1002/dac.5050
โœ๏ธ Farman Ali, Usman Habib, Fazal Muhammad, Yousaf Khan, Ammar Armghan, Fayadh Alenezi, Ziaul Haq Abbas, Asar Ali, Muhammad Salman Qamar


Farman Ali | Optical Communication | Best Researcher Award

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