Maroa Essam Baker
Research InterestsRenewable energy
specifically solar energy
various semiconductors
image sensors
optical filters.
Adaptive Control System
| Gender | FEMALE |
|---|---|
| Place of Work | Technical Engineering College/ Kirkuk |
| Department | Electronics and Control Engineering Techniques |
| Position | Lecturer |
| Qualification | MSc. |
| Speciality | Control engineering |
| maroa.baker@ntu.edu.iq | |
| Phone | 07701242956 |
| Address | kirkuk city -alwasity allay, Iraq, Kirkuk, Iraq |
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Maroa Essam Baker earned her Master’s Degree in Control Engineering from University Selangur Malaysia (Unisel) in 2015 and her Bachelor’s Degree in Electronic and control Engineering from Technical Engineering Colleg in 2008. Her academic background has equipped her with a strong foundation in both Electronics and Control engineering, enabling her to contribute to research in these fields. In March 2019, Maroa started her current role as an Assistant Lecturer at Northern Technical University in the Technical Engineering College, Kirkuk, within the Electronics and Control Engineering Department. Over the past Five years, she has taught several courses and contributed to the academic development of the department. Her research interests focus on advanced topics in Renewable energy, specifically solar energy, adaptive Controller , various semiconductors , image sensors, optical filters.
Skills
Circuit & Signal Processing: Multisim (Circuit Simulation), MATLAB (Signal Processing & Data Analysis) (80%)
Programming & Simulation Tools: MATLAB, OptiSystem, Multisim, (80%)
Office & Productivity Tools: Microsoft Office Suite (Word, Excel, PowerPoint) (90%)
Academic Qualification
Bachelor Degree in Electronic and Control Techniques Engineering
Sep 1, 2005 - Sep 1, 2008Master degree in Control Engineering
Jan 10, 2011 - Sep 15, 2015Working Experience
Assistant Lecturer [Assistant Lecturer]
Oct 1, 2016 - Jan 6, 2017Assistant Lecturer at Department of Electrical Engineering in Sulaymaniyah University
Assistant Lecturer [Assistant Lecturer]
Oct 1, 2019 - PresentControl Systems, Real-Time Control, Robustness in Dynamic Environments
[Control Systems Specialist, Northern Technical University, Kirkuk, Iraq]
October 1, 2019 - Present
• Worked with MATLAB/Simulink to model and simulate control systems.
• Focused on real-time system performance improvements and robustness in control system design.
Publications
Plasmonic Color Filters Coupled with CMOS Photodetectors Integrated Within the Device
Sep 9, 2025Journal International Journal of Multidisciplinary Research and Analysis
publisher Kaesar Sabah Khalaf, Maroa Essam Baker
DOI 10.47191/ijmra
Issue 2643-9875
Volume Volume 08
Modern, portable electronics employ CMOS image sensor arrays, which have tiny active pixels that are well-suited to the subwavelength mode volumes of plasmonic filters. Broad transmission bandwidths (> 100 nm) are characteristic of most plasmonic filters, making them ideal for CMYK or RBG color filtering. Achieving CMOS image sensors with multi- and hyperspectral imaging capabilities would be possible with a significant reduction in the peak width of filter transmission spectra. Single transmission bands as thin as 17 nm are produced by multi-mode interference phenomena, which are induced by the design of 4-layer metal-insulator-metal-insulator-metal structures. These phenomena reduce spurious transmission characteristics. The fundamental structure of these multilayer slot-mode plasmonic filters (MSPFs) may function across a wide range of wavelengths, allowing for systematic variation of the transmission peaks over the visible and near infrared spectra. This, in turn, produces a filter that can be integrated into complementary metal-oxide semiconductors (CMOS). We provide practical prototypes of MSPF filter designs that can attain a visible bandwidth of less than 30 nm and a full width at half maximum (FWHM) of 50 nm. We also detail how to make the experimental structure approach the limitations proposed by the model.
Assessment of PID and Fuzzy logic controllers for process LLC: A performance comparison
Aug 23, 2025Journal International Journal of Advances in Electrical Engineering
publisher Kaesar Sabah Khalaf, Maroa Essam Baker
DOI 10.47191/ijmra
Issue 2643-9875
There is a mechanism for controlling the level of tanks everywhere. Having a solid grasp of how tank control systems function and how level control issues are resolved is crucial knowledge for control systems engineers. Since the control action for level control in tanks holding various chemicals or mixes is crucial for further control connecting set points, the liquid level is bearing significant weight in industrial control systems. Since every real-world system is inherently non-linear, traditional controllers aren't always reliable. To get a better answer, we apply Fuzzy Logic Control. Whether you're making a linear or non-linear embedded control system, Fuzzy Logic is a great alternate design process to follow. Reduced development costs, improved final product performance, and enhanced features are all possible thanks to fuzzy logic. Tank LLC is one example of a successful use of fuzzy control. Here, we use MATLAB to create a Fuzzy Control based on the water tank's liquid level. We then compare the control effect to that of a PID controller and conduct an analysis based on our findings. When comparing the two, Fuzzy Control is clearly the better option. Time to reaction, steady-state error, and overshoot are a few of the factors that might get extra focus. When we compared the two systems' control responses, we found that the fuzzy logic controller drastically cut down on overshoot and steady-state error.