- الرئيسية
- عن الجامعة
- سعيد علي محمد الزهراني
سعيد علي محمد الزهراني
السيرة الذاتية
جدول الدراسة
الابحاث والمؤلفات
المشاريع البحثية
الجوائز
الخبرات والمناصب الإدارية
- Vice Dean of Graduate Studies & Development
- Associate Professor, College of Engineering
المؤهلات العلمية
- PhD degree in Electrical and Computer Engineering, The Ohio State University, USA
- Master of Science in Electrical and Computer Engineering, The Ohio State University, USA
- Master of Science, in Electrical Engineering, University of Colorado, USA
- Bachelor of Science in Electrical and Computer Engineering King Abdul Aziz University
الاهتمامات البحثية
My research broadly addresses design and technological challenges related to RF/millimeter-wave and mixed-signal integrated circuits and systems for emerging applications
Integrated Transceiver Design for 5G Communication Systems
Integrated Radio Frequency Energy Harvesting Systems for Self-powered Wireless Sensors and Internet of Things (IoT)
Active Circuit Implementation of Passive MMW/RF Components
Wideband Technology for Communication, Automotive and Biomedical Applications
A Novel Four-Port UWB MIMO Metasurface Antenna for mmWave Applications
Engineering Technology & Applied Science Research
DOI
10.48084/etasr.14036
Analysis and Design of the Tank Feedline in Millimeter-Wave VCOs
IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES
DOI
10.1109/tmtt.2022.3151668
Bandwidth allocation of URLLC for real-time packet traffic in B5G: A Deep-RL framework
ICT Express
DOI
10.1016/j.icte.2023.11.008
Deep Reinforcement Learning-Driven Hybrid Precoding for Efficient Mm-Wave Multi-User MIMO Systems
Journal of Sensor and Actuator Networks
DOI
10.3390/jsan14010020
Detection of sleep apnea from ECG signals using sliding singular spectrum based Subpattern principal component analysis
DOI
10.1109/tai.2023.3329455
Empowering energy-sustainable IoT devices with harvest energy-optimized deep neural networks
IEEE Access
DOI
10.1109/access.2024.3399563
Enhancing Energy-Efficient Power Allocation for IoT URLLC Through Action Space Reduction in Energy Harvesting Devices
IEEE Access
DOI
10.1109/access.2024.3437670
Enhancing sustainable edge computing offloading via renewable prediction for energy harvesting
IEEE Access
DOI
10.1109/access.2024.3404222
FSO mathematical modelling and optimization base track to train communication under the atmospheric weather forecast conditions
Scientific Reports
DOI
10.1038/s41598-025-97655-3
Low-area and low-power VLSI architectures for long short-term memory networks
IEEE Journal on Emerging and Selected Topics in Circuits and Systems
DOI
10.1109/jetcas.2023.3330428
Memory-Efficient Iterative Signal Detection for 6G Massive MIMO via Hybrid Quasi-Newton and Deep Q-Networks
Electronics
DOI
10.3390/electronics14244832
Modelling, optimisation and evaluation of multi-transmitters FSO link for ground to train communication
Vehicular Communications
DOI
10.1016/j.vehcom.2025.100914
Optimal performance of photovoltaic-powered water pumping system
Mathematics
DOI
10.3390/math11030731
Performance Analysis of Curved Track G2T-FSO (Ground-to-Train Free Space Optical) Model under Various Weather Conditions.
CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES
DOI
10.32604/cmes.2024.055679
Sustainable resource allocation and reduce latency based on federated-learning-enabled digital twin in IoT devices
SENSORS
DOI
10.3390/s23167262
Two distributed arithmetic based high throughput architectures of non-pipelined LMS adaptive filters
IEEE Access
DOI
10.1109/access.2022.3192619
Wearable and flexible sensor devices: Recent advances in designs, fabrication methods, and applications
SENSORS
DOI
10.3390/s25051377
Adaptive CPU frequency scaling for energy-efficient and sustainable edge computing under renewable energy uncertainty
Engineering Science and Technology-An International Journal-JESTECH
DOI
10.1016/j.jestch.2026.102357
Mathematical Model and Implementation of a Scalable Four-Port Filter
Electronics
DOI
10.3390/electronics15081600
-
Principal Investigator: “Dimensionality Reduction for Automatic Detection of Sleep Apnea from ECG signals using Convolutional Autoencoders and Dynamical Component Analysis (DyCA)
-
• Principal Investigator: “Maximizing the usage of Renewable Energy sources
-
• Principal Investigator: “Deep Learning in Mobile Edge Computing Services for 6G UltraReliable and Low-Latency Communication Applications”
-
• Co-Principal Investigator: “Modelling and Performance Evaluation of Free Space Optical Link for Ground-To-Train Communications in Smart Cities Environment”
-
• Co-Principal Investigator: “On the ASIC implementation tradeoff Recurrent neural networks using Distributed Arithmetic”
الكلية
كلية الهندسة
التخصص العام
الهندسة الكهربائية
التخصص الدقيق
هندسة الإلكترونيات و الاتصالات
الجنسية
السعودية
المسمى الوظيفي
استاذ مشارك