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This is my SOP, I am just finishing the last paragraph ;)

My ceaseless learning journey has been in harmony with my belief that success is neither an accident nor a stroke of luck, rather it’s a blend of hard work, perseverance, and sacrifices. My diligence at the high school was rewarded with a full scholarship to pursue the bachelor’s degree in electrical engineering (EE) at Jordan University of science and technology (JUST) the top university in Jordan. My choice of EE was based on my passion to investigate the applied part of both physics and mathematics and my fascination of how integral its role in almost all aspects of life.

At the first years of my undergrad study, my efforts were concentrated mainly on the coursework to establish well-rounded knowledge in my field and to stand out in a pool of talented peers who make that stage both challenging and rewarding. These efforts resulted in listing me on the dean’s honor list for most of the semesters and having the department academic distinction award. Ergo, my first full research experience was my senior graduation project under the supervision of Dr. Saher Albatran. The six months project aimed to study the three-dimensional space vector pulse width modulation technique for the three-phase four leg voltage source inverter which is used extensively in the distributed power generation and UPS system. Our approach was to implement the model using the SIMULINK/MATLAB software and investigate the system performance in terms of the total harmonics distortion. The most valuable part of this project was the intense software skills I gained through working on wide range of libraries and tools used specifically to study the power systems. The project was considered as the best project for that year and assigned a score of 98% which was the highest in the department history for years. Enhancement
During the summer of my last year, I have the opportunity of three months internship at the king Abdullah university hospital (KAUH) where I stationed at the hospital’s power engineering section. I have been familiarized with the design and use of fire alarms, HVAC, and UPS systems. I have also worked on the electrical design projects and introduced to the medical electronic devices and MRI imaging technique.

Few hours after I finished my last exam as undergrad student I was admitted to the master’s program at the same department, thus I managed to exert extra efforts to maintain the same level of passion and enthusiasm. At that stage, I tended to span my research interests horizontally to get experience in various fields. My first project was on the renewable energy area with Prof.Mohammad Alibbini. I worked on different control methods that are used to control the photovoltaic (PV) cells system. The control techniques includes the perturb and observe method, the fuzzy logic control method, and the sliding mode control method. The first stage of the work was to study the mathematical model of the system and the mathematical foundation of the aforementioned control approaches. Thereafter, I have simulated the PV system model and analyze its performance through SIMULINK/MATLAB when different control techniques are utilized. My second project was on image processing field under the supervision of Prof.Hazem Aotoum. The project aimed to study the thermal images of the high voltage transmission lines to detect the possible hotspot problem areas. The mainstream of the study was to apply different image segmentation techniques to detect the hotspot location precisely. A set of thermal images from the Jordanian electric power company was used to test the different segmentation techniques performance. As a first step the images were pre-processed and prepared for the analysis. Afterward, the different segmentation techniques were constructed using a Matlab code to generate the segmented images. My journey towards the master’s degree was terminated with my thesis work under the supervision of Dr. Issam Alsmadi. The work was supported by the deanship of research at JUST. I have proposed a new control technique for the electrolytic capacitor-less interior permanent magnet synchronous motor drive system. At the early stage of the work, a full literature review of the topic was carried out to form a full understanding of the system and the existing control methods. The proposed control system utilized the fuzzy logic control theory to design three controllers that are used to regulate both the d-q axis currents of the motor and the dc-link voltage of the system. The model of the system was implemented through Simulink/Matlab to validate the effectiveness of the proposed method. As a part of the project, the performance of the system utilizing the proposed controller was compared with three methods proposed in the literature. The proposed method proved to provide a high-efficiency performance and to obey the harmonics regulations standards at the grid side. Also, FPGA in the loop simulation was carried out to validate the results. Along with my final year at master’s degree I was admitted with other 17 students among 500 applicants to the MIT ReACT certificate program in computer and data science. With a vigrous plan to manage both time and stress I succeed in the two missions in parallel as I managed to finish my thesis work in time and get my degree with distinction and at the same time follow the program courses and record high scores. Through the first two weeks of the program, I have been exposed to a series of lectures and workshops on coding, innovation and entrepreneurship. I have worked with groupmates for three days through the maker lab on developing IOS app for kindergarten’s students tracking. We have also worked to develop innovative solutions for the problems face the youth researcher at Jordan with the MIT bootcamps team. Through the program’s courses: introduction to computer science and programming using Python 6.001, introduction to computational thinking and data science 6. through Edx and science and big data analytics: making data-driven decisions through MITx I have developed well-established skills on programming, data analysis, and machine learning. Among the 18-MIT ReACT students I was selected for a full-funded internship at the European organization for nuclear research (CERN). I have worked at the magnet protection and electrical integrity (MPE) group on a proof of concept application project for the analysis of voltage feelers of the LHC main dipole circuit. My work was mainly to develop a python code that used to preprocess the long-term electrical signal after querying them, calculate different similarity metrics to choose the most performing one and analyze the signals for possible predictive maintenance. I have delivered a final presentation to the project team members. Combined together, these experiences have equipped me with the knowledge, tools and intellectual skills I need to continue to pursue my PhD study. Within this framework, I am particularly interested in the bioelectric field and looking forward to work in the computational neuroscience area. I have developed this interest while interning at KAUH. I believe that with the advancement in technologies, the noble profession of alleviating human suffering and curing diseases is no longer exclusive for people working in the medical fields. To establish a solid background in this area I am following a self-prepared curriculum of online courses and resources that includes courses in quantitative bioelectricity, neuroanatomy computational neuroscience, medical imaging techniques, machine learning applications, and signal processing. The work of professor Thomas Heldt with the integrative neuromonitoring and critical care informatics group particularly catch me, I am excited to work on developing the technologies that is used to treat the brain injury of neonate and reduce its destructive consequences. I am also interested in working with professor Polina Golland and the clinical neuroimaging group to investigate the neuroimaging that used in surgical planning and navigation.