ROAA I. MUBARAK received the B.Sc., M.S., and Ph.D. degrees in electronics and communications engineering from the Faculty of Engineering, Helwan University, in 2001, 2004, and 2011, respectively. She is currently an Assistant Professor in the Department of Electronics and Communications Engineering, Faculty of Engineering, Helwan University. Her current research interests include the areas of medical electronics, microelectronics, power conversion, energy harvesting and Signal Processing.
EDUCATION
PHD in Electronics and Communication department, faculty of engineering, Helwan university
RESEARCH, TEACHING, or OTHER INTERESTS
Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment, Signal Processing, Hardware and Architecture
An improved algorithm for prediction of vehicle trajectories using short-term goal-driven network Abdalla Tawfik, Zaki Nossair, Roaa Mubarak Beni Suef University Journal of Basic and Applied Sciences, 2025 Background Prediction of vehicle trajectories is a crucial task for automated driving systems to accurately take movement actions according to the dynamic traffic environment, especially the future positions of the surrounding vehicles. Predicting how road users will behave in the future is one of the most critical and complex challenges in autonomous driving. Different data types must be combined to accomplish this task using deep learning, such as sensor readings and maps. After that, this data is used to predict a range of possible future outcomes. Existing goal-driven approaches predict the final goal and use it to complete the trajectory; this requires accurate goal prediction, which is challenging. Short-Term Goal Network (STG) addresses this challenge using multiple short-term goals instead of a single final goal. Results The proposed STG network is evaluated on the Argoverse motion forecasting dataset, and the results show significantly better performance than other goal-driven approaches. STG demonstrated a substantial improvement of over 6% in average displacement error and more than 8% in final displacement error. Conclusion This article presents an improved algorithm for predicting vehicle trajectories using short-term goals. The proposed STG algorithm is based on long short-term memory (LSTM) and attention mechanism for predicting trajectories. This work verifies that predicting more than one goal along the trajectory improves the accuracy of the predicted goal and the whole trajectory accordingly.
State of Charge (SoC) Accurate Estimation Using Different Models of LSTM Fehr Hassan, Mohamed El-Bably, Roaa I. Mubarak World Electric Vehicle Journal, 2025 Accurately estimating the State of Charge (SoC) is essential for optimal battery charge control and predicting the operational range of electric vehicles. The precision of SoC estimation directly influences these vehicles’ range and safety. However, achieving accurate SoC estimation is challenging due to environmental variations, temperature changes, and electromagnetic interference. Numerous technologies rely on Machine Learning (ML) and Artificial Neural Networks (ANN). The proposed model employs two or more cascaded Long Short-Term Memory (LSTM) networks, which have effectively reduced the Mean Square Error (MSE). Additionally, other models such as Nonlinear Auto Regressive models with exogenous input neural networks (NARX) combined with LSTM, and standard LSTM models have been simulated. In this research a model has been presented with reduced Root Mean Square Error (RMSE) compared to a LSTM by 78% and has reduced the RMSE compared to NARX with LSTM by 47%.
Circuit modeling and hybrid optimization of a lithography-free visible metamaterial absorber Shimaa I. Sayed, K. R. Mahmoud, Roaa I. Mubarak Discover Applied Sciences, 2025 This paper presents a lithography-free broadband metamaterial absorber designed to cover the visible wavelength spectrum. Two equivalent circuit models based on Transmission Line theory (TL) and Transfer Matrix Method (TMM) are introduced to accurately characterize the absorber's performance. The proposed models are validated by numerical simulations and compared with existing experimental data, showing a strong agreement with the results. To maximize absorption capability, the structure is further optimized using a hybrid Gravitational Search Particle Swarm Optimization (GSPSO) algorithm. The optimized tungsten structure, with a thin thickness of approximately 160 nm, can achieve absorption over 90% across the visible range from 400 to 785 nm and an average absorption of 96%. Moreover, the absorber exhibits a peak absorbance of over 95% within the range from 435 to 665 nm. In addition, the proposed absorber demonstrates high absorption characteristics, maintaining over 80% absorptivity for incident angles up to 60°, for both TE and TM modes. Therefore, the superior performance characteristics of this absorber, as well as the absence of the need for lithography in the fabrication process, make it a highly promising choice for large-scale manufacturing of devices that operate in the visible light region.
Strong and Broadband Visible Absorption Based on Titanium Patterned Resonator Shimaa I. Sayed, K. R. Mahmoud, Roaa I. Mubarak Plasmonics, 2024 The visible band is characterized by a high concentration of solar energy, making it highly desirable to achieve perfect absorption within this spectral range. This paper presents a novel design of a broadband metamaterial absorber (BMA) based on titanium (Ti), which exhibits a superior level of high absorption in the visible regime. The absorber is composed of three layers arranged from top to bottom: a newly shaped Ti top layer resonator, a SiO2 dielectric spacer, and a Ti bottom reflector. With a thickness of 195 nm, the BMA structure demonstrates an average absorption of 98.11% across the wavelength range of 400–800 nm, ensuring absorption levels greater than 90% through the entire visible band. The influence of different geometrical parameters and structures on absorption was studied, and the physical mechanism behind the high absorption was explored. Additionally, the proposed structure offers the benefit of maintaining 90% absorption stability for large incident angles up to 60° for TE and up to 70° for TM mode oblique incidence. Therefore, our proposed absorber emerges as an optimal candidate for a variety of solar energy harvesting applications.
An improved CFAR algorithm for multiple environmental conditions Mostafa Y. Rihan, Zaki B. Nossair, Roaa I. Mubarak Signal Image and Video Processing, 2024 The primary objective of radar digital signal processing is to detect and identify targets in complicated situations, such as those involving clutter or several closely positioned targets. The constant false alarm rate (CFAR) method is more effective for target recognition and has better control over the false alarm rate. Many studies have been conducted on the design of CFAR, but previous CFAR algorithms have not been effective in all or most environmental fields and target scenarios. In this study, an algorithm called Censored Mean Clutter Map CFAR (CM-CM CFAR) has been developed and tested for various environmental conditions. When compared to a fixed false alarm rate, the suggested CFAR algorithm’s Monte Carlo simulation results demonstrated a high detection probability in a variety of environments. This work designs a real-time CM-CM CFAR processor using field-programmable gate array (FPGA) technologies. Xilinx ARTIX 7 FPGA technology is used to develop and map a scalable parallel framework. Consequently, the implementation required 23,741 LUTs and 1825 FF. It is verified that the complexity and operating speed of the suggested CFAR processor are extremely appropriate for real-time implementation when compared to the results of the previously proposed FPGA implementation.
High Efficiency Tandem Perovskite/CIGS Solar Cell Mohamed Mousa, Mostafa M. Salah, Fathy Z. Amer, Ahmed Saeed, Roaa I. Mubarak 2020 2nd International Conference on Smart Power and Internet Energy Systems Spies 2020, 2020
Design and optimization of CIGS-based solar cell with surface dielectric nanostructures arrangement FM Abdel Hamied, RI Mubarak, KR Mahmoud, MFO Hameed, ... Scientific Reports 16 (1), 3730 , 2026 2026
Machine learning–driven stress detection in biomedical engineering applications I Sadek, MA Al-Alim, N Salem, R Mubarak Emerging Technologies in the Healthcare System for Sustainable Development … , 2026 2026
State of Charge (SoC) Accurate Estimation Using Different Models of LSTM F Hassan, M El-Bably, RI Mubarak World Electric Vehicle Journal 16 (10), 572 , 2025 2025 Citations: 2
Circuit modeling and hybrid optimization of a lithography-free visible metamaterial absorber SI Sayed, KR Mahmoud, RI Mubarak Discover Applied Sciences 7 (8), 790 , 2025 2025 Citations: 5
An improved algorithm for prediction of vehicle trajectories using short-term goal-driven network A Tawfik, Z Nossair, R Mubarak Beni-Suef University Journal of Basic and Applied Sciences 14 (1), 50 , 2025 2025 Citations: 1
A deep learning approach using wesad data for multi-class classification with wearable sensors M Abd Al Aleem, R Mubarak, NM Salem, I Sadek 2024 6th Novel Intelligent and Leading Emerging Sciences Conference (NILES … , 2024 2024 Citations: 10
A machine-learning approach for stress detection using wearable sensors in free-living environments M Abd Al-Alim, R Mubarak, NM Salem, I Sadek Computers in Biology and Medicine 179, 108918 , 2024 2024 Citations: 108
Efficient Perovskite Multi-Junction Cell with Twin-Layered Absorber A Saeed, M Mousa, MM Salah, A Zekry, M Abouelatta, A Shaker, FZ Amer, ... 2024 IEEE 52nd Photovoltaic Specialist Conference (PVSC), 0018-0020 , 2024 2024
An improved CFAR algorithm for multiple environmental conditions MY Rihan, ZB Nossair, RI Mubarak Signal, Image and Video Processing 18 (4), 3383-3393 , 2024 2024 Citations: 30
Strong and broadband visible absorption based on titanium patterned resonator SI Sayed, KR Mahmoud, RI Mubarak Plasmonics 19 (3), 1145-1152 , 2024 2024 Citations: 15
Memristors Modelling and Simulation for Digital to Analog Converter Circuit S Mostafa, FZ Amer, MM ElKhatib, RI Mubarak Russian Microelectronics 53 (2), 188-195 , 2024 2024 Citations: 3
Acoustic energy harvesting using an array of piezoelectric cantilever plates for railways and highways environmental noise E Hassan, SA Kouritem, FZ Amer, RI Mubarak Ain Shams Engineering Journal 15 (3), 102461 , 2024 2024 Citations: 34
Accurate Estimation for State of Charge (SoC) using different topologies of LSTM F Hassan, M El-Bably, RI Mubarak 2024
Deep neural network based for stress detection M Abd Al-Alim, R Mubarak, NM Salem, I Sadek Procedia Computer Science 246, 3178-3187 , 2024 2024 Citations: 6
Numerical analysis of carbon-based perovskite tandem solar cells: Pathways towards high efficiency and stability MM Salah, A Saeed, M Mousa, M Abouelatta, A Zekry, A Shaker, FZ Amer, ... Renewable and Sustainable Energy Reviews 189, 114041 , 2024 2024 Citations: 14
Design and optimization of broadband metamaterial absorber based on manganese for visible applications SI Sayed, KR Mahmoud, RI Mubarak Scientific Reports 13 (1), 11937 , 2023 2023 Citations: 66
Fpga implementation for multiple CFAR algorithms MY Rihan, ZB Nossair, RI Mubarak 2023 international telecommunications conference (ITC-Egypt), 189-193 , 2023 2023 Citations: 3
New hybrid MPPT technique including artificial intelligence and traditional techniques for extracting the global maximum power from partially shaded PV systems MZE Masry, A Mohammed, F Amer, R Mubarak Sustainability 15 (14), 10884 , 2023 2023 Citations: 45
Investigation of high-efficiency and stable carbon-perovskite/silicon and carbon-perovskite/CIGS-GeTe tandem solar cells A Saeed, MM Salah, A Zekry, M Mousa, A Shaker, M Abouelatta, FZ Amer, ... Energies 16 (4), 1676 , 2023 2023 Citations: 26
New Hybrid MPPT Technique Including Artificial Intelligence and Traditional Techniques for Extracting the Global Maximum Power from Partially Shaded PV Systems M Zaghloul-El Masry, A Mohammed, F Amer, R Mubarak Sustainability 15 (14), 1-30 , 2023 2023 Citations: 3
MOST CITED SCHOLAR PUBLICATIONS
Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2021) AE Hassanien, A Haqiq, PJ Tonellato, L Bellatreche, S Goundar, AT Azar, ... Springer Nature , 2021 2021 Citations: 171
A machine-learning approach for stress detection using wearable sensors in free-living environments M Abd Al-Alim, R Mubarak, NM Salem, I Sadek Computers in Biology and Medicine 179, 108918 , 2024 2024 Citations: 108
Simulation of optimized high-current tandem solar-cells with efficiency beyond 41% M Mousa, FZ Amer, RI Mubarak, A Saeed IEEe Access 9, 49724-49737 , 2021 2021 Citations: 80
Design and optimization of broadband metamaterial absorber based on manganese for visible applications SI Sayed, KR Mahmoud, RI Mubarak Scientific Reports 13 (1), 11937 , 2023 2023 Citations: 66
New hybrid MPPT technique including artificial intelligence and traditional techniques for extracting the global maximum power from partially shaded PV systems MZE Masry, A Mohammed, F Amer, R Mubarak Sustainability 15 (14), 10884 , 2023 2023 Citations: 45
Conical structures for highly efficient solar cell applications FMH Korany, MFO Hameed, M Hussein, R Mubarak, MI Eladawy, ... Journal of Nanophotonics 12 (1), 016019-016019 , 2018 2018 Citations: 35
Acoustic energy harvesting using an array of piezoelectric cantilever plates for railways and highways environmental noise E Hassan, SA Kouritem, FZ Amer, RI Mubarak Ain Shams Engineering Journal 15 (3), 102461 , 2024 2024 Citations: 34
An improved CFAR algorithm for multiple environmental conditions MY Rihan, ZB Nossair, RI Mubarak Signal, Image and Video Processing 18 (4), 3383-3393 , 2024 2024 Citations: 30
Investigation of high-efficiency and stable carbon-perovskite/silicon and carbon-perovskite/CIGS-GeTe tandem solar cells A Saeed, MM Salah, A Zekry, M Mousa, A Shaker, M Abouelatta, FZ Amer, ... Energies 16 (4), 1676 , 2023 2023 Citations: 26
High efficiency tandem perovskite/CIGS solar cell M Mousa, MM Salah, FZ Amer, A Saeed, RI Mubarak 2020 2nd International Conference on Smart Power & Internet Energy Systems … , 2020 2020 Citations: 23
High-efficiency electron transport layer-free perovskite/GeTe tandem solar cell: numerical simulation MM Salah, A Zekry, M Abouelatta, A Shaker, M Mousa, FZ Amer, ... Crystals 12 (7), 878 , 2022 2022 Citations: 22
Quantitative mathematical objective evaluation of contrast-enhanced spectral mammogram in the assessment of response to neoadjuvant chemotherapy and prediction of residual … AFI Moustafa, RM Kamal, MMM Gomaa, S Mostafa, R Mubarak, ... Egyptian Journal of Radiology and Nuclear Medicine 50 (1), 44 , 2019 2019 Citations: 17
Strong and broadband visible absorption based on titanium patterned resonator SI Sayed, KR Mahmoud, RI Mubarak Plasmonics 19 (3), 1145-1152 , 2024 2024 Citations: 15
Numerical analysis of carbon-based perovskite tandem solar cells: Pathways towards high efficiency and stability MM Salah, A Saeed, M Mousa, M Abouelatta, A Zekry, A Shaker, FZ Amer, ... Renewable and Sustainable Energy Reviews 189, 114041 , 2024 2024 Citations: 14
A deep learning approach using wesad data for multi-class classification with wearable sensors M Abd Al Aleem, R Mubarak, NM Salem, I Sadek 2024 6th Novel Intelligent and Leading Emerging Sciences Conference (NILES … , 2024 2024 Citations: 10
Improving maximum power point tracking of partially shaded photovoltaic system by using IPSO-BELBIC MAAA El-Garhy, RI Mubarak, M El-Bably Journal of Instrumentation 12 (08), P08012-P08012 , 2017 2017 Citations: 10
High-efficiency modified tandem solar cell: Simulation of two-absorbers bottom subcell M Mousa, FZ Amer, RI Mubarak, A Saeed Optik 251, 168458 , 2022 2022 Citations: 8
Breast cancer detection using polynomial fitting applied on contrast enhanced spectral mammography S Mostafa, R Mubarak, M El-Adawy, AF Ibrahim, MM Gomaa, RM Kamal 2019 International Conference on Innovative Trends in Computer Engineering … , 2019 2019 Citations: 8
Deep neural network based for stress detection M Abd Al-Alim, R Mubarak, NM Salem, I Sadek Procedia Computer Science 246, 3178-3187 , 2024 2024 Citations: 6
Simulation of High open-circuit voltage Perovskite/CIGS-GeTe tandem cell M Mousa, MM Salah, A Zekry, M Abouelatta, A Shaker, FZ Amer, ... 2022 IEEE 49th Photovoltaics Specialists Conference (PVSC), 1230-1234 , 2022 2022 Citations: 6