السيرة الذاتية للمدرس المساعد زهراء ناصر شاه ولي

PERSONAL INFORMATION

Full Name: Zahraa Naser Shah weli

Gender: Female  

Birthdate: 1982  

Nationality: Iraq

Degree: MSc  

Academic Title: Assistant Lecturer

College\Center: College of Law  Departement: Private Law

Major: computer science  Specialty: artificial intelligence

Occupation: Director of the Quality Assurance and University Performance DivisionMother Language: Arabic  Other Languages: englishWork email: zahra.n@nahrainuniv.edu.iq Personal email: zah2005muh@gmail.com

EDUCATION

• master of computer science/ college of science/ Al nahrain university/ 2018
• Bachelor of computer science/ college of science/ Baghdad university/2004

SKILLS and QUALIFICATIONS

• Teaching artificial intelligence and other subjects related to computer science
• Follow-up matters related to the quality of performance in Iraqi colleges and universities

POSITIONS and CAREER PROGRESSION

• Demonstrator in the laboratory
• officer
• Assistant Lecturer
• Head of the Department of Quality Assurance and University Performance for 4 years

RESEARCH EXPERIENCE and SKILLS

Many researches in the field of prediction and early detection of some types of cancers through the use of artificial intelligence algorithms

AWARDS and THANK You BOOKS

Many thanks from the Ministry of Higher Education and Scientific Research, the Presidency of the University and the Deanship

LINKS

• https://scholar.google.com/citations?no=4tRluz8AAAAJ&hl=ro&authuser=1
• https://researchid.co/zahraanaser
• https://www.researchgate.net/profile/Zahraa-Shah-Weli
• https://publons.com/dashboard/settings/profile/
• https://orcid.org/my-orcid
• https://www.linkedin.com/in/zahra-n-nasser-6957881b9

Publications

·       ReliefF and Association Rule Mining to Determine Cervical Cancer Causes

·       Data Mining in Cancer Diagnosis and Prediction: Review about Latest Ten Years

·       Deep Belief Network for Predicting the Predisposition to Lung Cancer in TP53 Gene

·       Bio Mining Method for Classifying Cancer

·       In Silico Model for Lung Cancer Prediction Based on TP53 mutations Using Neural Network

·       NEURAL NETWORK WITH NEW RELIEF FEATURE SELECTION FOR PREDICTING BREAST CANCER BASED ON TP53 MUTATION

·       In Silico Molecular Classification of Breast and Prostate Cancers using Back Propagation Neural Network