UTP Scholars: Dr Maged Mohammed Saeed Nasser

Dr Maged Mohammed Saeed Nasser
Office Address
02-03-014
Universiti Teknologi PETRONAS
Bandar Seri Iskandar, 32610 Perak
P:
Email: maged.nasser@utp.edu.my
Scopus
Author ID
57203982795
Document Count
31
Total Citations
187
h-Index
6
Co-authors
73
Google Scholar Citations
Author Profile URL
QogXGOEAAAAJ
Citations
315
h-Index
9
Research Gate
Author Profile URL
Maged-Nasser
Publications
40
Citations
267
Reads
15,284
Maged-Nasser

As at November 2023

Title:
Lecturer

Department:

Specialization:
  • Data Science
  • Information Retrieval
  • Cheminformatics

Qualifications:
  • 2022, PhD in PhD Computer Science by Universiti Teknologi Malaysia (UTM)
  • 2022, PhD in PhD Computer Science by Universiti Teknologi Malaysia (UTM)
  • 2022, PhD in PhD Computer Science by Universiti Teknologi Malaysia (UTM)

Other Information:

Short Biography:
Dr. Maged Nasser is a Lecturer with the Department of Computing at Universiti Teknologi PETRONAS since September 2023. His research focus on fake and spam news detection based on deep learning, Molecular similarity searching based on deep learning. He specializes in in computer science disciplines includes Arti?cial intelligence, machine learning, deep learning, data mining, Similarity Searching, Data clustering, Virtual screening and cheminformatics. He received the bachelors degree in mathematics and computer science from Ibb University, Yemen, in 2013, the Master of Computer Science degree from Banaras Hindu University (BHU), India, in 2017, and the Ph.D. degree majoring in molecular similarity searching based on deep learning from Universiti Teknologi Malaysia, in 2022. From September 2022 to August 2023, he was a Postdoctoral Researcher with Universiti Sains Malaysia..


Number of items: 6.

Ibrahim, M.K. and Yusof, U.K. and Eisa, T.A.E. and Nasser, M. (2024) Bioinspired Algorithms for Multiple Sequence Alignment: A Systematic Review and Roadmap. Applied Sciences (Switzerland), 14 (6).

Younis, H.A. and Eisa, T.A.E. and Nasser, M. and Sahib, T.M. and Noor, A.A. and Alyasiri, O.M. and Salisu, S. and Hayder, I.M. and Younis, H.A. (2024) A Systematic Review and Meta-Analysis of Artificial Intelligence Tools in Medicine and Healthcare: Applications, Considerations, Limitations, Motivation and Challenges. Diagnostics, 14 (1).

Ibrahim, M.K. and Yusof, U.K. and Eisa, T.A.E. and Nasser, M. (2023) Enhanced Genetic Method for Optimizing Multiple Sequence Alignment. Mathematics, 11 (22).

Salisu, S. and Ruhaiyem, N.I.R. and Eisa, T.A.E. and Nasser, M. and Saeed, F. and Younis, H.A. (2023) Motion Capture Technologies for Ergonomics: A Systematic Literature Review. Diagnostics, 13 (15).

Abdullah, T.A.A. and Zahid, M.S.B.M. and Tang, T.B. and Ali, W. and Nasser, M. (2022) Explainable Deep Learning Model for Cardiac Arrhythmia Classification. In: UNSPECIFIED.

Altowayti, W.A.H. and Shahir, S. and Eisa, T.A.E. and Nasser, M. and Babar, M.I. and Alshalif, A.F. and AL-Towayti, F.A.H. (2022) Smart Modelling of a Sustainable Biological Wastewater Treatment Technologies: A Critical Review. Sustainability (Switzerland), 14 (22). ISSN 20711050

This list was generated on Sat Jun 7 05:17:46 2025 +08.