UTP Scholars: Ts. Dr Ashraf Osman Ibrahim Elsayed
Office Address
Universiti Teknologi PETRONAS
Bandar Seri Iskandar, 32610 Perak
P:+60 5368 7428
Email: ashraf@utp.edu.my
Universiti Teknologi PETRONAS
Bandar Seri Iskandar, 32610 Perak
P:+60 5368 7428
Email: ashraf@utp.edu.my
Note: Updated as of Quarter 2, 2025 (May)
Working Experience:
- Senior Lecturer/Associate Professor (2013-Present)
- Professional Technologist (Ts.) (2018-Present): He was recognized as a Professional Technologist by the Malaysia Board of Technologists (MBOT), a title he has held for several years, signifying his certified industry and academic expertise.
- Researcher at Positive Computing Research Center (PCRC) (2013-Present): Throughout his tenure at UTP, he has been a core member of the PCRC, focusing on AI-driven solutions and optimization algorithms.
Certification Provider:
- HRDC
Awards-National Recognition:
- N/A
Awards-International Recognition:
- N/A
Title:
Senior Lecturer
Department:
Specialization:
- Artificial Intelligence & Machine Learning
- Data Science & Analytics
- Optimization Algorithms
- Cybersecurity
Qualifications:
- 2013, PhD in Electrical Engineering by Stanford University
- 2007, Master in Electrical Engineering by Stanford University
- 2004, Degree in Electrical & Electronics Engineering by University Teknologi PETRONAS
Other Information:
Short Biography:
Ts. Dr. Ashraf Osman Ibrahim Elsayed is a Senior Lecturer at the Department of Computer and Information Sciences, Universiti Teknologi PETRONAS (UTP). He is a recognized Professional Technologist (Ts.) by the Malaysia Board of Technologists (MBOT) and serves as a key researcher within the Positive Computing Research Center. With a strong academic background, he is dedicated to advancing higher education and fostering innovation through his teaching and mentorship at UTP.
His research expertise lies at the intersection of Artificial Intelligence (AI), Machine Learning, and Cybersecurity, with a particular focus on optimization algorithms and data science. Dr. Ashraf is a prolific researcher with over 1,700 citations, having published extensively in high-impact journals and international conferences. His work consistently aims to solve complex real-world problems using intelligent computational models and data-driven strategies.
Number of items: 3.
Ndukwe, S.C. and Kannan, R. and Wei, H.T. (2023) A Single-Switch Bidirectional AC Chopper-Based Electronic Load Controller for Pico Hydropower System. In: UNSPECIFIED.
Wei, H.T. and Jeoti, V. (2005) Compression and enhancement of digital mammograms with wavelet footprints. In: UNSPECIFIED.
Wei, H.T. and Jeoti, V. (2004) A wavelet footprints-based compression scheme for È©cg signals. In: UNSPECIFIED.