N
Nasir Saeed
Researcher at King Abdullah University of Science and Technology
Publications - 104
Citations - 2964
Nasir Saeed is an academic researcher from King Abdullah University of Science and Technology. The author has contributed to research in topics: Computer science & Wireless sensor network. The author has an hindex of 22, co-authored 84 publications receiving 1486 citations. Previous affiliations of Nasir Saeed include Iqra National University & Hanyang University.
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Underwater Optical Wireless Communications, Networking, and Localization: A Survey
TL;DR: This work provides a comprehensive survey on the challenges, advances, and prospects of underwater optical wireless networks (UOWNs) from a layer by layer perspective which includes physical layer issues including propagation characteristics, channel modeling, and modulation techniques.
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Next Generation Terahertz Communications: A Rendezvous of Sensing, Imaging, and Localization
TL;DR: It is posited that the breakthrough the THz band will introduce will not be solely driven by achievable high data rates, but more profoundly by the interaction between THz sensing, imaging, and localization applications.
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CubeSat Communications: Recent Advances and Future Challenges
Nasir Saeed,Ahmed Elzanaty,Heba Almorad,Hayssam Dahrouj,Tareq Y. Al-Naffouri,Mohamed-Slim Alouini +5 more
TL;DR: This paper presents a holistic overview of various aspects of CubeSat missions and provides a thorough review of the topic from both academic and industrial perspectives, and presents recent advances in the area of Cubesat communications.
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A Survey on Multidimensional Scaling
TL;DR: This survey presents multidimensional scaling (MDS) methods and their applications in real world by explaining the basic notions of classical MDS and how MDS can be helpful to analyze the multid dimensional data.
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Intelligent Surfaces for 6G Wireless Networks: A Survey of Optimization and Performance Analysis Techniques
Rawan Alghamdi,Reem Alhadrami,Dalia Alhothali,Heba Almorad,Alice Faisal,Sara Helal,Rahaf Shalabi,Rawan Asfour,Noofa Hammad,Asmaa Shams,Nasir Saeed,Hayssam Dahrouj,Tareq Y. Al-Naffouri,Mohamed-Slim Alouini +13 more
TL;DR: This paper provides a unique blend that surveys the principles of operation of LIS, together with their optimization and performance analysis frameworks, and presents various optimization frameworks that aim to optimize specific objectives, namely, maximizing energy efficiency, sum- rate, secrecy-rate, and coverage.