Farman Ali | Optical Communication | Best Researcher Award

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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

Yuncai Feng | Optical Engineering | Best Researcher Award

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Assoc. Prof. Dr. Yuncai Feng | Optical Engineering | Best Researcher Award

Associate Professor at Qingdao University of Technology, China

Dr. Yuncai Feng is an Associate Professor at Qingdao University of Technology, specializing in surface plasmon, metasurfaces, 2D materials, and perfect absorbers. He earned his Ph.D. from Nanjing University of Aeronautics and Astronautics in 2019 and has published over 20 papers in prestigious journals like Optics Express and Solar Energy. His research focuses on enhancing light-matter interactions for applications in optical sensing, energy harvesting, and photonic devices. With a strong background in nanophotonics and materials science, Dr. Fengโ€™s innovative contributions are shaping next-generation optical technologies.

Publication Profile :ย 

Scopus

Education ๐ŸŽ“

๐ŸŽ“ Dr. Yuncai Feng earned a Ph.D. in 2019 from Nanjing University of Aeronautics and Astronautics, focusing on advanced topics in optical materials and nanophotonics.

Professional Experience๐Ÿ’ผ

๐Ÿ‘จโ€๐Ÿซ Dr. Feng is an associate professor at Qingdao University of Technology, where they continue to explore cutting-edge research in the fields of surface plasmon, metasurfaces, 2D materials, and perfect absorbers. Over the years, Dr. Feng has published more than 20 papers in top-tier journals like Optics Express, Solar Energy, and Optics Communications, contributing significantly to the advancement of optical technologies. With their interdisciplinary approach, Dr. Feng’s work spans across both fundamental research and practical applications in nanophotonics and materials science.

Research Interests ๐Ÿ”ฌ

๐Ÿ”ฌ Dr. Feng’s research delves into nanostructures, light-matter interactions, and photonic devices. Their innovative designs have led to groundbreaking advancements in optical sensing, energy harvesting, and solar technologies. Notably, their work on atomically thin MoS2 integrated with gradient unit cell structures for antireflection (AR) in solar cells is paving the way for next-generation photovoltaic technologies. Their ongoing research continues to explore spin wave coupling and microwave interactions.

Publications Top Notes ๐Ÿ“š

  1. Feng, Y., Huang, Z., Zhang, X., Qiu, T. Broadband and wide-angle antireflection in silicon solar cells using atomically thin MoS2 with a gradient unit cell structure. Solar Energy, 2024, 284, 113088.
  2. Huang, Z., Feng, Y. Tunable Plasmonic Filter Based on Improved Quasiperiodic Structure. Plasmonics, 2024, 19(3), 1649โ€“1657.
  3. Feng, Y., Huang, Z., Zhang, X., Qiu, T. Tunable ultra-wideband graphene-based filter with a staggered structure. Optics Express, 2023, 31(26), 42785โ€“42794. (Open Access)
  4. Feng, Y., Zhao, Y., Liu, Y., Qiu, T. Reconfigurable ultra-compact graphene-based plasmonic devices. Results in Physics, 2022, 34, 105331. (Open Access)
  5. Qiu, T., Ma, H., Xin, P., Feng, Y., Yu, Z. Image adder and subtractor based on light storage. European Physical Journal Plus, 2022, 137(1), 126.
  6. Meng, D., Liu, M., Liu, Y., Feng, Y., Qiu, T. Electromagnetically Induced Polarization Grating in a Quasi-M-Type Atomic System. International Journal of Theoretical Physics, 2021, 60(9), 3387โ€“3395.
  7. Qiu, T., Li, H., Xie, M., Xin, P., Zhao, X. Efficient polarization beam splitter based on the optimized stationary light pulse. Quantum Information Processing, 2021, 20(3), 115.
  8. Feng, Y., Wu, Q.Y.S., Wang, B., Liu, Y., Teng, J. Design of narrowband perfect absorber for enhancing photoluminescence in atomically thin WSe2. Optics Communications, 2020, 454, 124443.
  9. Dong, D., Liu, Y., Fei, Y., Feng, Y., Fu, Y. Designing a nearly perfect infrared absorber in monolayer black phosphorus. Applied Optics, 2019, 58(14), 3862โ€“3869.
  10. Feng, Y., Liu, Y., Teng, J. Design of an ultrasensitive SPR biosensor based on a graphene-MoS2 hybrid structure with a MgF2 prism. Applied Optics, 2018, 57(14), 3639โ€“3644.