Dr. Muawia A. Elsadig is an accomplished Assistant Professor at Imam Abdulrahman Bin Faisal University in Saudi Arabia, with extensive experience in computer science, particularly in cybersecurity, information security, AI, machine learning, and bioinformatics. He has held academic positions at renowned institutions across Sudan, the UAE, and Saudi Arabia. Dr. Elsadig has authored over 30 peer-reviewed publications, many of which appear in high-impact Q1 and Q2 journals such as IEEE Access. His recent research focuses on cyber threat detection, secure communications, AI applications, and ethical issues in emerging technologies. He also serves as a reviewer for several leading international journals and contributes actively to institutional research development through editing, reviewing, and ethical oversight roles. With a consistent research record, interdisciplinary expertise, and international teaching background, Dr. Elsadig demonstrates strong leadership and scholarly contributions, making him a highly deserving candidate for recognition through prestigious research awards.
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Dr. Muawia A. Elsadig holds a strong academic foundation in computer engineering and science. He earned his B.Sc. (Honors) in Computer Engineering from the University of Gezira, Sudan, in 2000, followed by an M.Sc. in Computer Engineering and Networks from the same institution in 2003, graduating with first-class honors. He later completed his Ph.D. in Computer Science, specializing in Information Security, at Sudan University of Science and Technology (SUST) in 2018. His academic progression reflects a focused commitment to cybersecurity and advanced computing disciplines. Each stage of his education laid a strong theoretical and technical groundwork, preparing him for a dynamic career in both academia and research. His doctoral studies, in particular, sharpened his expertise in network security and information assurance, providing a springboard for his subsequent contributions to the fields of cyber defense, machine learning, and secure systems. Dr. Elsadig’s educational background is both comprehensive and rigorously specialized.
Dr. Muawia A. Elsadig has over two decades of professional experience in academia and industry, reflecting his deep engagement with computing disciplines. He has served in teaching and research roles at prominent universities including the University of Gezira in Sudan, the University of Sharjah in the UAE, and King Khalid University in Saudi Arabia. Since 2018, he has held the position of Assistant Professor at Imam Abdulrahman Bin Faisal University (IAU) in Saudi Arabia, contributing to both the Computer Science Department and the university’s Deanship of Scientific Research. His responsibilities span teaching, curriculum development, research supervision, and participation in ethical review processes as a member of the Institutional Review Board (IRB). He has also been involved in the editorial review of internal research grants. His industry experience complements his academic roles, providing a practical dimension to his teaching and research. Dr. Elsadig’s professional journey is marked by dedication, cross-cultural competence, and research leadership.
Dr. Muawia A. Elsadig’s research interests are broad and interdisciplinary, encompassing cybersecurity, information security, network security, artificial intelligence, machine learning, deep learning, and bioinformatics. His work explores both theoretical foundations and practical applications, with a strong focus on developing lightweight, efficient models for detecting cyber threats such as denial-of-service (DoS) attacks and covert channels. He is also interested in the ethical implications of emerging technologies, having published insightful work on the societal impacts of AI tools like ChatGPT and machine translation systems. Dr. Elsadig has applied machine learning techniques to critical areas such as breast cancer detection and secure data encryption, demonstrating a commitment to using AI for social good. His research often bridges technical rigor with applied innovation, and he collaborates on projects that integrate computing with healthcare and secure communications. This interdisciplinary approach makes his research both relevant and impactful in today’s fast-evolving technological landscape.
Dr. Muawia A. Elsadig has received multiple awards and recognitions for his research excellence, particularly for publishing in high-impact, peer-reviewed international journals indexed in the Web of Science and Scopus (Q1 and Q2). These recognitions reflect the high quality and scholarly contribution of his research in fields such as cybersecurity, AI, and bioinformatics. He has also been acknowledged by his institutions for his active role in scientific research development, including grant proposal evaluations and ethical oversight. Beyond individual publications, his selection as a peer reviewer for top-tier journals like IEEE Access and Artificial Intelligence Review is an implicit honor, affirming his expertise and credibility in his research domains. While the profile does not list named external awards or grants, the consistent publication record, academic appointments, and responsibilities he holds at respected institutions are strong indicators of his professional esteem. These honors collectively highlight his value as a research leader and academic mentor.
In conclusion, Dr. Muawia A. Elsadig stands out as a highly accomplished academic and researcher in the domains of computer science and cybersecurity. With a solid educational background, extensive teaching experience, and a strong portfolio of international publications, he has made significant contributions to both theoretical advancements and practical solutions in his field. His work bridges artificial intelligence, secure systems, and bioinformatics, reflecting both depth and breadth in his research pursuits. Dr. Elsadig’s ongoing involvement in peer review, research ethics, and interdisciplinary collaboration highlights his commitment to advancing knowledge and ensuring research integrity. He is not only a prolific scholar but also an active academic citizen dedicated to mentoring, ethical governance, and the strategic development of research agendas. His achievements and leadership position him as a compelling candidate for prestigious honors such as the Best Researcher Award, and he continues to be a driving force in his academic community and beyond.
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Title: The Impact of Artificial Intelligence on Language Translation: A Review
Authors: YA Mohamed, A Khanan, M Bashir, AHHM Mohamed, MAE Adiel, MA Elsadig
Year: 2024
Citations: 124
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Title: Breast Cancer Detection Using Machine Learning Approaches: A Comparative Study
Authors: MA Elsadig, A Altigani, HT Elshoush
Year: 2023
Citations: 60
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Title: VANETs Security Issues and Challenges: A Survey
Authors: MA Elsadig, YA Fadlalla
Year: 2016
Citations: 60
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Title: Detection of Denial-of-Service Attack in Wireless Sensor Networks: A Lightweight Machine Learning Approach
Author: MA Elsadig
Year: 2023
Citations: 52
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Title: Covert Channel Detection: Machine Learning Approaches
Authors: MA Elsadig, A Gafar
Year: 2022
Citations: 49
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Title: A Polymorphic Advanced Encryption Standard – A Novel Approach
Authors: A Altigani, S Hasan, B Barry, S Naserelden, MA Elsadig, HT Elshoush
Year: 2021
Citations: 46
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Title: Survey on Covert Storage Channel in Computer Network Protocols: Detection and Mitigation Techniques
Authors: MA Elsadig, YA Fadlalla
Year: 2016
Citations: 37
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Title: Security Issues and Challenges on Wireless Sensor Networks
Authors: MA Elsadig, A Altigani, MA Baraka
Year: 2019
Citations: 26
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Title: Network Protocol Covert Channels: Countermeasures Techniques
Authors: MA Elsadig, YA Fadlalla
Year: 2017
Citations: 26
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Title: Information Extraction Methods and Techniques in Chemical Documents: Survey
Authors: M Abdelmagid, AA, Mubarak Himmat
Year: 2015
Citations: 24
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Title: Mobile Ad Hoc Network Routing Protocols: Performance Evaluation and Assessment
Authors: MA Elsadig, A Yahia
Year: 2018
Citations: 22
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Title: Packet Length Covert Channel: A Detection Scheme
Authors: MA Elsadig, YA Fadlalla
Year: 2018
Citations: 20
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Title: A Balanced Approach to Eliminate Packet Length-Based Covert Channels
Authors: MA Elsadig, YA Fadlalla
Year: 2017
Citations: 17
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Title: Analyzing the Performance of the AES Block Cipher Modes of Operation
Authors: A Altigani, M Abdelmagid, B Barry
Year: 2016
Citations: 13
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Title: ChatGPT and Cybersecurity: Risk Knocking the Door
Author: MA Elsadig
Year: 2024
Citations: 10