Ahmed E. Kamal - IEEE Xplore Author Profile

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Ahmed E. Kamal

Also published under: A. E. Kamal, Ahmed Kamal, Ahmad E. Kamal, Amed E. Kamal, A. Kamal

Publications
208
Citations
4,763
Publications by Year
19882025
Co-Authors:
Show All Co-Authors (125)
Image of author Ahmed E. Kamal

Ahmed E. Kamal

Also published under: A. E. Kamal, Ahmed Kamal, Ahmad E. Kamal, Amed E. Kamal, A. Kamal

Affiliation

Department of Electrical and Computer Engineering
Iowa State University
Ames, IA, USA

Publication Topics

Biography

Ahmed E. Kamal is a professor of electrical and computer engineering at Iowa State University. Contact him at ka-mal@iastate.edu.(Based on document published on 21 June 2013).
Publications
208
Citations
4,763
Publications by Year
19882025
Co-Authors:
Show All Co-Authors (125)
Author's Published Works

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Actor–Critic Reinforcement Learning for Throughput-Optimized Power Allocation in Energy Harvesting NOMA Relay-Assisted Networks

Faeik T. Al Rabee;Ala'Eddin Masadeh;Sharief Abdel-Razeq;Haythem Bany Salameh

IEEE Open Journal of the Communications Society
Year: 2024 | Volume: 5 | Journal Article |
In fifth-generation (5G) and beyond (B5G) communication systems, the growing number of connected devices and the increased traffic on the network lead to substantial energy consumption, which requires energy-efficient and high-speed communication solutions. Integrating non-orthogonal multiple access (NOMA), energy harvesting (EH), and millimeter wave (mmWave) technologies has emerged as a powerful...Show More

Actor–Critic Reinforcement Learning for Throughput-Optimized Power Allocation in Energy Harvesting NOMA Relay-Assisted Networks

Faeik T. Al Rabee;Ala'Eddin Masadeh;Sharief Abdel-Razeq;Haythem Bany Salameh

Year: 2024 | Volume: 5 | Journal Article |

Reinforcement Learning-Based Security/Safety UAV System for Intrusion Detection Under Dynamic and Uncertain Target Movement

Ala’eddin Masadeh;Mohannad Alhafnawi;Haythem A. Bany Salameh;Ahmed Musa;Yaser Jararweh

IEEE Transactions on Engineering Management
Year: 2024 | Volume: 71 | Journal Article |
Cited by: Papers (27)
Autonomous security unmanned aerial vehicles (UAVs) have recently gained popularity as an effective solution for accomplishing target/intrusion detection and tracking tasks with little or no human intervention. In this context, we aim at developing an autonomous UAV system for detecting a dynamic and uncertain intrusion within an area, in which the intruder/target moves from one location to anothe...Show More

Reinforcement Learning-Based Security/Safety UAV System for Intrusion Detection Under Dynamic and Uncertain Target Movement

Ala’eddin Masadeh;Mohannad Alhafnawi;Haythem A. Bany Salameh;Ahmed Musa;Yaser Jararweh

Year: 2024 | Volume: 71 | Journal Article |

Face Recognition Method for Online Exams

Ashraf A Abu-Ein;Ala’eddin Masadeh

2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)
Year: 2023 | Conference Paper |
Biometric systems have advanced greatly in this field of technology and can be used to many other uses. It is common practice to employ biometric systems for authentication, which involves identifying and analyzing unique human traits including fingerprints, retina, voice patterns, facial patterns, and more. Facial recognition technology is also being developed and used for a wide range of purpose...Show More

Face Recognition Method for Online Exams

Ashraf A Abu-Ein;Ala’eddin Masadeh

Year: 2023 | Conference Paper |

A Survey of Indoor and Outdoor UAV-Based Target Tracking Systems: Current Status, Challenges, Technologies, and Future Directions

Mohannad Alhafnawi;Haythem A. Bany Salameh;Ala’eddin Masadeh;Haitham Al-Obiedollah;Moussa Ayyash;Reyad El-Khazali;Hany Elgala

IEEE Access
Year: 2023 | Volume: 11 | Journal Article |
Cited by: Papers (37)
Due to their distinctive features, unmanned aerial vehicles (UAVs) have been recently exploited to support a wide range of applications. The features include low maintenance cost, compact size, and excellent capability of maneuvering. In particular, UAVs have the potential capabilities to support different technologies such as Internet-of-things (IoT) devices, sensors, cameras, and systems, thus, ...Show More

A Survey of Indoor and Outdoor UAV-Based Target Tracking Systems: Current Status, Challenges, Technologies, and Future Directions

Mohannad Alhafnawi;Haythem A. Bany Salameh;Ala’eddin Masadeh;Haitham Al-Obiedollah;Moussa Ayyash;Reyad El-Khazali;Hany Elgala

Year: 2023 | Volume: 11 | Journal Article |

Early Wildfire Detection using UAVs Integrated with Air Quality and LiDAR Sensors

Doaa Rjoub;Ahmad Alsharoa;Ala’Eddin Masadeh

2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall)
Year: 2022 | Conference Paper |
Cited by: Papers (8)
Every year, wildfires burn out countless hectares of lands, resulting in ecological, environmental, and economic damage. This paper presents an energy management system that consists of an unmanned aerial vehicle (UAV) equipped with air quality and light detection and ranging (LiDAR) sensors for monitoring forests and recognizing flames early. We develop a novel approach for autonomous patrolling ...Show More

Early Wildfire Detection using UAVs Integrated with Air Quality and LiDAR Sensors

Doaa Rjoub;Ahmad Alsharoa;Ala’Eddin Masadeh

Year: 2022 | Conference Paper |

A Review of Indoor UAV-based Tracking Systems: Classification, Status, and Challenges

Mohannad Alhafnawi;Ala'eddin Masadeh;Haythem Bany Salameh;Moussa Ayyash;Reyad El-Khazali;Hany Elgala

2022 International Arab Conference on Information Technology (ACIT)
Year: 2022 | Conference Paper |
Cited by: Papers (3)
The recent development of Unmanned aerial vehicle (UAV) technology and the UAVs' unique features offered the impetus for new UAV-based applications and services. The UAV's low maintenance cost, small size, outstanding maneuvering capability, and the possibility to be equipped with various technologies(e.g., sensors, cameras, and artificial intelligence (AI) systems) made the UAV-based systems suit...Show More

A Review of Indoor UAV-based Tracking Systems: Classification, Status, and Challenges

Mohannad Alhafnawi;Ala'eddin Masadeh;Haythem Bany Salameh;Moussa Ayyash;Reyad El-Khazali;Hany Elgala

Year: 2022 | Conference Paper |

Intelligent Drone-Base-Station Placement for Improved Revenue in B5G/6G Systems Under Uncertain Fluctuated Demands

Haythem Bany Salameh;Ala’eddin Masadeh;Ghaleb El Refae

IEEE Access
Year: 2022 | Volume: 10 | Journal Article |
Cited by: Papers (10)
In this paper, the drone base-station (DBS) dispatching problem in a multi-cell B5G/6G network is investigated. The main objective is to achieve the highest system profit by serving the largest possible number of users with the least possible cost while considering the uncertain time-dependent fluctuated user’s (service) demand in the different cells, the cost of dispatched drones, and the possibl...Show More

Intelligent Drone-Base-Station Placement for Improved Revenue in B5G/6G Systems Under Uncertain Fluctuated Demands

Haythem Bany Salameh;Ala’eddin Masadeh;Ghaleb El Refae

Year: 2022 | Volume: 10 | Journal Article |

Reinforcement Learning Method for Autonomous UAVs Monitoring an Uncertain Target

Mohannad Al-Hefnawi;Ala'eddin Masadeh;Haythem Bany Salameh;Ahmed Musa

2021 Eighth International Conference on Social Network Analysis, Management and Security (SNAMS)
Year: 2021 | Conference Paper |
Cited by: Papers (4)
Autonomous unmanned aerial vehicles are able to sense their surrounding environments, and fly safely with little or no human intervention. Autonomous unmanned aerial vehicles are characterized by their ability to make decisions based on predicting future possible situations and learning from previous experiences. In this paper, we aim at developing algorithms that enable unmanned aerial vehicles t...Show More

Reinforcement Learning Method for Autonomous UAVs Monitoring an Uncertain Target

Mohannad Al-Hefnawi;Ala'eddin Masadeh;Haythem Bany Salameh;Ahmed Musa

Year: 2021 | Conference Paper |

Look-Ahead and Learning Approaches for Energy Harvesting Communications Systems

Ala’eddin Masadeh;Zhengdao Wang;Ahmed E. Kamal

IEEE Transactions on Green Communications and Networking
Year: 2020 | Volume: 4, Issue: 1 | Journal Article |
Cited by: Papers (7)
This work investigates the performance of an energy harvesting communications system. This system consists of a transmitter and a receiver. The transmitter is equipped with an infinite buffer to store data, and energy harvesting capability to harvest renewable energy and store it in a finite battery. The goal is to maximize the expected cumulative throughput of such systems. The problem of finding...Show More

Look-Ahead and Learning Approaches for Energy Harvesting Communications Systems

Ala’eddin Masadeh;Zhengdao Wang;Ahmed E. Kamal

Year: 2020 | Volume: 4, Issue: 1 | Journal Article |

Power Controlled Medium Access Control Design For Cognitive Radio Ad-Hoc Network

Ala’eddin A. Masadeh;Haythem Bany Salameh;Ahmad Abu-El-Haija

2019 International Arab Conference on Information Technology (ACIT)
Year: 2019 | Conference Paper |
In this work, we propose efficient channel assignment as well as transmission power control (TPC) algorithm to improve the performance of multi-channel single-radio cognitive radio ad-hoc networks (CRAHNs). The channel assignment algorithm aims to assign channels among users in a way that reduces the probability of collision. The TPC aims to tune the transmit power used by nodes. By this mechanism...Show More

Power Controlled Medium Access Control Design For Cognitive Radio Ad-Hoc Network

Ala’eddin A. Masadeh;Haythem Bany Salameh;Ahmad Abu-El-Haija

Year: 2019 | Conference Paper |

Selector-Actor-Critic and Tuner-Actor-Critic Algorithms for Reinforcement Learning

Ala'eddin Masadeh;Zhengdao Wang;Ahmed E. Kamal

2019 11th International Conference on Wireless Communications and Signal Processing (WCSP)
Year: 2019 | Conference Paper |
Cited by: Papers (3)
This work presents two reinforcement learning (RL) architectures, which mimic rational humans in the way of analyzing the available information and making decisions. The proposed algorithms are called selector-actor-critic (SAC) and tuner-actor-critic (TAC). They are obtained by modifying the well known actor-critic (AC) algorithm. SAC is equipped with an actor, a critic, and a selector. The role ...Show More

Selector-Actor-Critic and Tuner-Actor-Critic Algorithms for Reinforcement Learning

Ala'eddin Masadeh;Zhengdao Wang;Ahmed E. Kamal

Year: 2019 | Conference Paper |

An Actor-Critic Reinforcement Learning Approach for Energy Harvesting Communications Systems

Ala'eddin Masadeh;Zhengdao Wang;Ahmed E. Kamal

2019 28th International Conference on Computer Communication and Networks (ICCCN)
Year: 2019 | Conference Paper |
Cited by: Papers (3)
Energy harvesting communications systems are able to provide high quality communications services using green energy sources. This paper presents an autonomous energy harvesting communications system that is able to adapt to any environment, and optimize its behavior with experience to maximize the valuable received data. The considered system is a point-to-point energy harvesting communications s...Show More

An Actor-Critic Reinforcement Learning Approach for Energy Harvesting Communications Systems

Ala'eddin Masadeh;Zhengdao Wang;Ahmed E. Kamal

Year: 2019 | Conference Paper |

Energy Efficient Data Forwarding in Disconnected Networks Using Cooperative UAVs

Abdullah M. Almasoud;Mohamed Y. Selim;Abdullah Alqasir;Tanzilah Shabnam;Alaeddin Masadeh;Ahmed E. Kamal

2018 IEEE Global Communications Conference (GLOBECOM)
Year: 2018 | Conference Paper |
Cited by: Papers (11)
Data forwarding from a source to a sink node when they are not within the communication range is a challenging problem in wireless networking. With the increasing demand of wireless networks, several applications have emerged where a group of users are disconnected from their targeted destinations. Therefore, we consider in this paper a multi-Unmanned Aerial Vehicles (UAVs) system to convey collec...Show More

Energy Efficient Data Forwarding in Disconnected Networks Using Cooperative UAVs

Abdullah M. Almasoud;Mohamed Y. Selim;Abdullah Alqasir;Tanzilah Shabnam;Alaeddin Masadeh;Ahmed E. Kamal

Year: 2018 | Conference Paper |

Reinforcement Learning Exploration Algorithms for Energy Harvesting Communications Systems

Alaeddin Masadeh;Zhengdao Wang;Ahmed E. Kamal

2018 IEEE International Conference on Communications (ICC)
Year: 2018 | Conference Paper |
Cited by: Papers (26)
Prolonging the lifetime, and maximizing the throughput are important factors in designing an efficient communications system, especially for energy harvesting-based systems. In this work, the problem of maximizing the throughput of point-to- point energy harvesting communications system, while prolonging its lifetime is investigated. This work considers more real communications system, where this ...Show More

Reinforcement Learning Exploration Algorithms for Energy Harvesting Communications Systems

Alaeddin Masadeh;Zhengdao Wang;Ahmed E. Kamal

Year: 2018 | Conference Paper |

Cognitive Radio Networking with Cooperative Relaying and Energy Harvesting

Ala'eddin Masadeh;Ahmed E. Kamal;Zhengdao Wang

2017 IEEE 86th Vehicular Technology Conference (VTC-Fall)
Year: 2017 | Conference Paper |
Cited by: Papers (4)
Cognitive radio networks with energy harvesting result in efficient use of both energy and spectrum. By using cooperative relaying, another feature can be achieved, which is the high diversity gain. In this paper, an energy harvesting underlay cognitive radio relaying network is investigated. In this underlay cognitive radio scheme, secondary users are allowed to access the spectrum, respecting a ...Show More

Cognitive Radio Networking with Cooperative Relaying and Energy Harvesting

Ala'eddin Masadeh;Ahmed E. Kamal;Zhengdao Wang

Year: 2017 | Conference Paper |

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