مواقع التدريسيينجامعة الكوفة
Eman Alkhyat Ali Alkhyat
Assistant Lecturer

Eman Alkhyat Ali Alkhyat

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About

Eman Ghafil Alkhyat
[email protected]
96 Windsor Street
Liverpool, L8 8EQ, UK
Mobile No. 07878550594
Tel. 01517080606

ACADEMIC HISTORY

MSc in Information & computing System, Liverpool John Moores University, UK. (2013)
BSc in Statistics, Almustansiriya, Baghdad, Iraq (1990)


WORK EXPERIENCE
Worked as a Mathematics teacher in the Arabic school (Libyan School)-Liverpool UK. The job involved teaching a large group of students with different stages of learning. (2016-2018)
Worked as an Arabic & ICT teacher at The Belvedere Academy, Liverpool, UK. It was a part-time job in which I taught students Arabic & ICT and helped prepare them for GCSE and A-level exams, I carried out speaking assessments. (2014-2016)
Worked as an Arabic teacher in the Arabic school -Liverpool, UK. The job involved teaching a large group of students and preparing the teaching materials for children at different ages and stages of learning. (2002-2003)
Worked as a Mathmatics teacher in Algwarsha College, Libya-Benghazi, (2000-2002)
Worked as a private tutor for Statistics & Mathematics, Libya-Benghazi, (1996-1997)
Worked as a statistician in The Faculty of Arts, The University of Kufa, Najaf, Iraq (1995-1996)
Worked as an Administrator at the Faculty of Arts (philosophy department), The University of Kufa, Najaf, Iraq (1993-1995)
Mathematics Teacher- Alnajaf schools, Najaf, Iraq (1990-1992)

COURSES & CERTIFICATES

Blackburn House Liverpool Access to Higher Education including:

· English, Maths
· Personal Development
· Research Skills
· Application
· Web Design
· Computer and Network
· Computer Programming and Computer Legislation

ECDL European Computer Driving license at Blackburn House Education, Liverpool (2009)

City & Guilds Access to Higher Education Diploma (ICT) Blackburn House Education, Liverpool (2009)

Cambridge ESOL level Certificate in ESOL Skills for life (Speaking and Listening) level 2, at Liverpool community college 2008

City & Guilds Advanced Diploma and Business ICT level 3 at Blackburn House Education, Liverpool, July 2007 Student of the year award for ICT (2007)

City & Guilds Business ICT level 2 Diploma Blackburn House Education, Liverpool (2006)

Short Courses including; OCR Level 2 in Adult Numeracy, Effective Project Management at Blackburn House Group, Liverpool (2005), ESOL level 1, Communication Skills and World of Work level 2 and PC Maintenance at level 2.

Level 2. Key Skills Excellent Communication skills both verbal and written developed through my studies at the University. Team Work: gained during my voluntary work and study and demonstrated excellent team working skills while I was doing a group assignment.
Teaching Skills curse at Kufa University 2019>

SKILLS

· Bilingual (speak both Arabic and English)
· Time management
· Organisational skills
· Teaching Fitting Test
· Arabic LanguageIntegrity

REFERENCES

References are available on request

Research Interests

2

Publications

1
2026

Performance Enhancement of Three-Phase PWM Rectifiers Using an Intelligent Fuzzy Direct Power Control Strategy

AuthorsEman Al-Khyat, Hisham Hassan Al-Uqby, Sinan Yousif Jumaah
Journal Machine Learning
Date2026-04-28
Abstract

Many companies use three-phase Pulse Width Modulation (PWM) rectifiers in modern power conversion systems. Some examples where they are used are new energy interfaces, charging stations for electric cars, and complex industrial drives. This is because it can control the flow of voltage on the DC link. Even more important, it can keep the power clean. Due to simple structure and fast dynamic, the conventional control strategy based on the Direct Power Control (DPC) principle is preferred. Due to the variable switch frequency, high power ripple, and power input, classical DPC has several drawbacks. The total harmonic distortion (THD) of the current is high, which limits the rectifier's ability to work in some applications. An intelligent Fuzzy Logic–Based Direct Power Control (FDPC) strategy is proposed to control the three-phase PWM rectifier as a solution to the aforementioned problems. The main goal is to keep the DC-link voltage steady, reduce the harmonic distortion of the current, and keep the power factor at unity under both steady-state and dynamic conditions. In the proposed FDPC strategy, the hysteresis comparators and switching table are replaced with a fuzzy inference system, which takes the active power error, reactive power error, and grid voltage vector position as inputs and produces an optimal voltage vector selection as an output. The FDPC scheme is implemented and investigated through MATLAB/Simulink and Fuzzy Logic Toolbox. Simulation results illustrate that the proposed controller shows significant improvement of system performance over conventional DPC. The DC-link voltage follows the reference value with fast dynamics response and smaller ripple. Moreover, the input current THD is reduced from 4.78% to 1.93% which meets IEEE 519 requirement, and the reactive power is also regulated to zero for near-unity power factor operation. The simulation results validate the robustness of the proposed FDPC strategy for high-performance PWM rectifier in applications with high power quality requirement.

Lectures

4
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