Dr. Ahmed H. Y. Al-Noori
Ph.D. in Information Security and Audio Eng.
Lecturer in Al-Nahrain University - Computer Engineering DepartmentIraq-Baghdad
About Me
Born in Iraq-Baghdad 1979, complete B.Sc. in Computer Science, M.Sc. in Computer Science, from the Al-Nahrain University, Baghdad- Iraq, in 2000 and 2003 respectively, and received the Ph.D. in Information Security and Acoustics Engineering from The University of Salford-Manchester, UK, in 2017. worked in different companies that related to IT and telecommunication services such as ZTE, Iraqna (Orascom), Zain. Currently, I am a lecturer in the Computer Engineering Department, Al-Nahrain University, teaching Computer Programming (C++, Java), Operating System, Software Engineering, Information Security, Artificial Intelligence for the first, third and fourth year. My research interests include Information and Cyber Security, Biometric SecutArtificial Intelligence and Machine learning, Web design and developing, Internet of Things (IoT) and Audio and Acoustic engineering.
Success is a lousy teacher. It seduces smart people into thinking they can’t lose.
Bill Gates
Education
University of Salford-Manchester
Ph.D. in Information Security and Acoustics Engineering (2014-2017)
School of Computing, Science, and Engineering
Thesis title:
ROBUST SPEAKER RECOGNITION IN PRESENCE OF NON-TRIVIAL ENVIRONMENTAL NOISE
Al-Nahrain University
M.Sc. in Computer Science and Artificial Intelligence (2000-2003)
Computer Science Department
Thesis title:
Al-Nahrain University
Ph.D. in Information Security and Acoustics Engineering (2014-2017)
School of Computing, Science, and Engineering
Thesis title:
ROBUST SPEAKER RECOGNITION IN PRESENCE OF NON-TRIVIAL ENVIRONMENTAL NOISE
Al-Nahrain University
B.Sc. in Computer Science (1997-2000)
Computer Science Department
Academic Experiences
Lecturer
Computer Engineering Department, Al-Nahrain University (Dec 2017-Present)
Academic Lecturer and Staff member taught the below undergraduate courses:
- Information Security
- Operating Systems
- Artificial Intelligence
- Software Engineering
- Computer Programming (C++, Java)
- Web Design and Developer ( HTML5, CSS, Javascript,PHP)
Assist. Lecturer
Computer Engineering Department, Al-Nahrain University (Jul 2003-May 2013)
Academic Assistant Lecturer and Staff member taught the below undergraduate courses:
- Information Security
- Artificial Intelligence
- Software Engineering
- Website Design
- Computer Programming (C++)
Part Time Teaching Assistant (Programmer)
Mechanical Department, The University of Technology (Feb 2002-Jan 2003)
Part-time Teaching Assitant taught the below undergraduate courses:
- Operating System
Technical Experiences
IRAQNA Telecom
June 2006- Feb 2008
Activation Specialist in Customer Care Desk.
ZTE for Telecommunication
Oct 2004- Feb 2005
- Member of Iraqi teamwork for installing Public Switching Telecom Network (PSTN) switches in Oil Ministry.
Installing and Setup of ZXMVC4050 Videoconference terminal.
Research Interest and Published Articles
Research Interest
- Biometric Security
- Information and Cyber Security
- Artificial Intelligence (AI) and Machine Learning (ML)
- Web and Mobile Technologies.
- Internet of Thing (IoT)
- Audio and Acoustics Engineering
Published Articles
- Al-Karawi, K.A., Al-Noori, A.H., Li, F.F. and Ritchings, T., 2015. Automatic Speaker Recognition System in Adverse Conditions--Implication of Noise and Reverberation on System Performance. International Journal of Information and Electronics Engineering, 5(6), p.423.
- Al-Noori, A.H, Li, F.F., 2015 Speaker Recognition of non-Trivial Noise. Salford Postgraduate Annual Research Conference (SPARC), University of Salford.
- Al-Noori, A.H., Al-Karawi, K.A. and Li, F.F., 2015, September. Improving robustness of speaker recognition in noisy and reverberant conditions via training. In Intelligence and Security Informatics Conference (EISIC), 2015 European (pp. 180-180). IEEE.
- Al-Noori, A.H, Li, F.F. and Duncan P.J., 2016. A Comparative Study of Speech Enhancement Approaches for Speaker Recognition in Realistic Noisy Conditions. The CSE 2016 Annual PGR Symposium (CSE-PGR16).
- Al-Noori, A., Li, F.F. and Duncan, P.J., 2016, May. Robustness of speaker recognition from noisy speech samples and mismatched languages. In Audio Engineering Society Convention 140. Audio Engineering Society.
- Al-Noori, A., Li, F.F. and Duncan, P.J., 2017, Training ‘on the fly’ to improve the performance of Speaker Recognition in Noisy Environments. 2017 AES International Conference on Audio Forensics-Finding Signal in the Noise. Audio Engineering Society.
- Al-Noori,A.H. , Duncan,P.J., 2019, Robust Speaker Recognition in Noisy Conditions by Means of online Training with Noise Profiles. Journal of the Audio Engineering Society.
Journal Reviewer
- Iraqi Journal of Information and Communications Technology (IJICT)
- Journal of the Audio Engineering Society (AES)
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Skills
Web Design and Development
HTML, CSS, PHP
Computer programming Languages
C++ , Java , Python
Artificial Intelligence & Machine Learning
Neural Networks , Deep Learning , Genetic Algorithms, SVM
Information and Cyber Security
Cryptography , Maleware , Ethical Hacking
Software Engineering and Projects Management
LET'S CHAT
Iraq-Baghdad
+964(0)7724971707
+964(0)7724971707
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Copyright 2017