Al-Nahrain University Academic Staff Profiles System

Academic staff profiles
Al-Nahrain University

عربي | English

PERSONAL INFORMATION

Full Name: Dr. Shaymaa Waleed Abdulatteef Al-Shammari Gender: Female Birthdate: 1984 Nationality: Iraq Degree: PhD Academic Title: Lecturer College\Center: College of Engineering Departement: Computer Engineering Major: Arabic Specialty: Computer Engineering Occupation: Lecturer Mother Language: Arabic Other Languages: English Work email: shaymaa.al-shammari@nahrainuniv.edu.iq

EDUCATION

(1) Ph.D. in Computer Engineering-Distributed Systems, College of Computing, Science, and Engineering, University of Salford, Manchester, UK. (2017)
(2) M.Sc. in Computer Engineering, Al-Nahrain University, Computer Engineering Department, Baghdad, Iraq. (2008)
(3) B.Sc. (the second in the graduation class) in Computer Engineering, Al-Nahrain University, Computer Engineering Department, Baghdad, Iraq. (2005)

APPOINTMENTS

(1) Lecturer (Staff Member) (since July 2017) Al-Nahrain University – Collage of Engineering –Computer Dept.
(2) Assist. Lect. (Staff Member) (2008 - 2017) Al-Nahrain University – Collage of Engineering –Computer Dept.
(3) Computer Engineer: College of Engineering/ Al-Nahrain University (2006 – 2008)

RESEARCH EXPERIENCE SUPERVISOR THESIS

Supervised the MSc Thesis
1- (Brain Tumor Classification Using Convolutional Neural Networks)
2- (Fire Detection Using Unmanned Aerial Vehicle)
3- (Performance Optimization in Edge Computing)
4- (prediction of electricity outage in Baghdad city based on artificial intelligence )
In addition to supervising many undergraduate projects (Since 2008).

TEACHINING EXPERINENCE

Have taught many subjects (since 2008) such as: Logic Circuits, Operating Systems, Computer System Design, Website Design, Cloud Computing, Soft Computing, and Computer Architecture (for BSc studies).
Advanced Computer Architecture, Advanced Soft Computing (for MSc studies)
In addition to supervising many undergraduate projects and MSc researches.

PROFESSIONAL ASSOCIATIONS

1- Member of the Institute of Electrical and Electronic Engineers (IEEE)
2- Member of the Iraqi Engineering Society.

LINKS

https://scholar.google.com/citations?user=6h6xEy0AAAAJ&hl=en&oi=ao

https://www.scopus.com/authid/detail.uri?authorId=57188675783

https://www.researchgate.net/profile/Shaymaa-Al-Shammari

https://publons.com/researcher/3394490/shaymaa-al-shammari/

https://orcid.org/0000-0003-1720-5486

https://www.linkedin.com/in/shaymaa-al-shammari-84bb6b73/

Publications

Convolutional Neural Networks for Predicting Power Outages in Baghdad
S Jawad, S Al-Shammari, 2025
Al-Nahrain Journal for Engineering Sciences, 28, (2), 212-223
Machine Learning Approaches for Improving Thermal Efficiency of Solar Hybrid Systems
S Al-Shammari, A Khudheyer, 2025
International Journal of Applied Mathematics, 38, (3s), 802-811
Machine Learning-Driven Enhancement of Concentrated Solar Power Systems: A Hybrid Ann and Ga Approach
S Al-Shammari, A Khudheyer, 2025
International Journal of Applied Mathematics, 38, (3s), 812-826

Predicting Power Outages in Baghdad City Using Deep Learning Techniques
S Jawad, S Al-Shammari, 2024
2024 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET), 294-299

Fire Detection Using Unmanned Aerial Vehicle
M Nabeel, S Al-Shammari, 2023
Al-IraqiaJournal for Scientific Engineering Research, 2, (1), 47-56

A Comparison Study for applying Different Deep Learning Models On Fire Detection method
M Nabeel, S Al-Shammari, 2022
2022 Iraqi International Conference on Communication and Information Technologies (IICCIT), 26-31
Performance Study of Mobile Edge Computing
R Mohammed, S Al-Shammari, 2022
2022 Iraqi International Conference on Communication and Information Technologies (IICCIT), 1-6

IoT Framework for Brain Tumor Classification Using Optimized CNN-MRFO Model
O Kamil, S Al-Shammari, 2021
American Journal of Bioinformatics Research, 11, (1), 32-37

Performance Evaluation of Wireless Sensor Networks Using LEACH Protocol
A Hussien, S Al-Shammari, M Marie, 2020
Indonesian Journal of Electrical Engineering and Computer Science, 19, (1), 395-402
Performance evaluation of wireless sensor networks using LEACH protocol
A Hussien, S Al-Shammari, M Marie, 2020
Indonesian Journal of Electrical Engineering and Computer Science, 19, (1), 395-402
Manta Ray Foraging Optimization for Hyper-Parameter Selection in Convolutional Neural Network
O Kamil, S Al-Shammari, 2020
IOP Conference Series: Materials Science and Engineering, 978, (1), 012051
Response Time Study of Cloud Web Application-Based Smart Monitoring System
S Al-Shammari, A Husein, 2020
2020 International Conference on Computer Science and Software Engineering (CSASE), 138-141

Cloud computing for disaster response management stemming from terrorism in Iraq
H Al-Dahash, S Al-Shammari, U Kulatunga, M Hardman, 2017
13th IPGRC 2017 Full Conference Proceedings, 295-306
SPARC 2017 retrospect & prospects: Salford postgraduate annual research conference book of abstracts
M Abubaker, S Somali, R Broadley, O Lawal, J Obeng, I Khan, L Dinu, P Ohaeresaba, R Langford, R Al-Turki, A Qaisi, A Chadwell, E Costamagna, K Alkarawi, N Gill, A Aletaiby, A Al-Jazaairry, K Alogla, H Hammood, J Tang, N Al-Mukaram, A Hussein, F Mansour, K Scaletta, S Adwick, E Rufasha, K Chuku, M Willcock, N Tyler, P Oseki, A Al-Wasity, A Fakhrudeen, N Al-Falahy, Q Al-doori, S Iredale, A Khalil, M Stein, S Robertson, U Iliyasu, A Adeleke, A Okudolor, M Abuzukhar, M Muhammad, A Danjuma, O Ogunoye, L Ward, N Bozzi, O Oni, A Owoeye, C Ayadurai, C Chang, S Temile, V Mtonga, A Fajemidagba, A Almojahed, A Khan, V Harvey, A Al-Aaloosi, B Dang, M Abba, R Fawkes, R Mohammed, A Hart, L Jones, S Hornby, D Xu, K Stoddart, M Gabr, P Frigenti, R Higgins, A Al-ani, A Ali, A Pace, D Stan, S Al-Murshedi, A Akarem, A Monk, A Hudson, A Almania, A Alhamaidah, A Alshaeri, A Qasim, A Eshenshani, A Zaeim, A Alshammari, B Alawfi, B Allarakia, C Nimoh, C Jones, D Butler, D T, 2017
Developing a user-centric distributed middleware for SLA monitoring in SaaS cloud computing using RESTful services
S Al-Shammari, 2017
University of Salford

Proceedings of the CSE 2016 Annual PGR Symposium (CSE-PGSym 16)
M Kassim, M Kausar, S Al-Shammari, N Khan, A Alsahlani, R Mohammed, L Carter, P Barrow, N Sharma, A Elmuntser, H Silva, A Majeed, A Lahham, A Sudarsono, K Alkarawi, D Mohammed, A Al-Noori, A Fakhrudeen, H Alshaheen, O Egena, A Mahmood, R Odum, A Hussein, H Karpinski, A Al-Ani, Z Nassrullah, 2016

MonSLAR: A middleware for monitoring SLA for RESTFUL services in cloud computing
S Al-Shammari, A Al-Yasiri, 2015
2015 IEEE 9th International Symposium on the Maintenance and Evolution of Service-Oriented and Cloud-Based Environments (MESOCA), 46-50

Defining a Metric for Measuring QoE of SaaS Cloud Computing
S Al-Shammari, A Al-Yasiri, 2014
PGNET2014, 251-256

Monitoring SLA’s QoE of SaaS
S Al-Shammari, unspecified
Poster abstract research showcase College of Science and, 39

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