Al-Nahrain University Academic Staff Profiles System

Academic staff profiles
Al-Nahrain University

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PERSONAL INFORMATION

Full Name: Dr. Hasnaa Imad Abdulsalam Al-Shaikhli Gender: Female Birthdate: 1984 Nationality: Iraq Degree: PhD Academic Title: Lecturer College\Center: College of Science Departement: Computer Science Major: Computer Science Specialty: Bioinformatics Occupation: Computer Science Department Mother Language: Arabic Other Languages: English Work email: hasna.imad@nahrainuniv.edu.iq Personal email: hasnaaimad@gmail.com

LINKS

https://scholar.google.com/citations?user=-_eREj0AAAAJ&hl=en

https://www.scopus.com/authid/detail.uri?authorId=57219384470

https://www.researchgate.net/profile/Hasnaa-Al-Shaikhli

https://publons.com/researcher/3875531/hasnaa-al-shaikhli/

https://orcid.org/0000-0002-1618-2449

https://www.linkedin.com/in/hasnaa-al-shaikhli-6755291bb/

Publications

SS-DBSCAN: Semi-Supervised Density-Based Spatial Clustering of Applications with Noise for Meaningful Clustering in Diverse Density Data
T Abdulhameed, S Yousif, V Samawi, H Al-Shaikhli, 2024
IEEE Access

Utilizing Machine Learning Models to Predict the Car Crash Injury Severity among Elderly Drivers
R Mamlook, T Abdulhameed, R Hasan, H Al-Shaikhli, I Mohammed, S Tabatabai, 2020
2020 IEEE International Conference on Electro Information Technology (EIT), 105-111

qSMF: an Approximate Algorithm for Quorum Planted Motif Search on ChIP-Seq Data
H Al-Shaikhli, E Doncker, 2019
2019 IEEE International Conference on Electro Information Technology (EIT), 434-440
Approximate Algorithms for Regulatory Motif Discovery in DNA
H Al-Shaikhli, 2019

SMF: Approximate Algorithm for the Planted (l, d) Motif Finding Problem in DNA Sequences
H Al-Shaikhli, E Doncker, 2018
Proceedings of the International Conference on Bioinformatics & Computational Biology (BIOCOMP), 123-129
SMF: Approximate Algorithm for the Planted (l, d) Motif Finding Problem in DNA Sequences
H Doncker, 2018
The 19th International Conference on Bioinformatics & Computational Biology

An Appromximation Algorithm for Motif Finding in DNA Sequences
H Al-Shaikhli, 2017

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