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Dr. Moses Ashawa | Cybersecurity | Best Researcher Award

Lecturer at Glasgow Caledonian University, United Kingdom

Dr. Moses Ashawa is an accomplished academic and researcher specializing in Cyber Defence and Security. He earned his Ph.D. from Cranfield University in the UK, where he focused on advanced cybersecurity topics. He also holds an MSc in Computer Security and Digital Forensics with distinction from the University of Bedfordshire, alongside a Post Graduate Diploma in Education and a BSc in Computer Science from Benue State University, Nigeria. Dr. Ashawa has extensive teaching experience, having developed innovative course modules and provided individualized support to students. His research interests encompass penetration testing, malware analysis, digital forensics, and the integration of artificial intelligence in cybersecurity. He has secured significant research grants and has published numerous peer-reviewed articles, reflecting his commitment to advancing knowledge in his field. As a Fellow of the Higher Education Academy, Dr. Ashawa is dedicated to fostering academic excellence and preparing students for careers in technology and cybersecurity.

Education:

Dr. Moses Ashawa holds a Ph.D. in Cyber Defence and Security from Cranfield University, United Kingdom, which he completed in 2022. He earned his Master of Science in Computer Security and Digital Forensics with distinction from the University of Bedfordshire in 2017. Dr. Ashawa also holds a Post Graduate Diploma in Education (PGDE) from the National Open University of Nigeria, obtained in 2015, and a Bachelor of Science with Honours in Computer Science from Benue State University, Makurdi, Nigeria, completed in 2013. Additionally, he completed his secondary education with the West African Education Certificate (WAEC) at Calvin Foundation College, Nigeria, in 2006. This diverse educational background provides him with a strong foundation in both technical and pedagogical aspects of computer science and cybersecurity.

Professional Experience:

Dr. Moses Ashawa has a diverse professional background that spans teaching, research, and curriculum development. Currently, he plays a pivotal role in shaping the academic experience at his institution by developing lecture notes and course modules that align with university curricula and setting clear learning objectives. His commitment to student success is evident in his approach to assessment, where he marks student work and provides impactful feedback to enhance their understanding and confidence. Dr. Ashawa actively collaborates with unit heads and course coordinators to innovate curriculum developments, ensuring that academic standards are met and that emerging technologies are integrated into the learning experience. Additionally, he contributes to research projects in Cyber Security and Digital Forensics, collaborating with industry partners such as Cisco to strengthen student internships and employability prospects. His previous experience includes serving as a Maths and ICT Supply Teacher in the UK, where he prepared lesson plans and established positive relationships with students, parents, and colleagues. As a Graduate Assistant at the American University of Nigeria, he delivered undergraduate lectures on topics such as artificial intelligence and ethical hacking, while also supporting students in their practical sessions and projects. Dr. Ashawa’s multifaceted experience highlights his dedication to education and research in the field of cybersecurity.

Research Interests:

Dr. Moses Ashawa’s research interests lie at the intersection of cybersecurity and advanced technology. He specializes in penetration testing and ethical hacking, focusing on developing methods to assess and enhance the security of systems against potential threats. His work in malware analysis involves investigating malicious software to understand its behavior and develop effective detection techniques. Additionally, Dr. Ashawa is passionate about digital forensics, exploring ways to recover and analyze data from digital devices to support investigations and legal proceedings. He is also keenly interested in the applications of artificial intelligence and machine learning in cybersecurity, particularly how these technologies can be leveraged to improve threat detection and response strategies. Furthermore, his research extends to the Internet of Things (IoT), where he examines the unique security challenges posed by interconnected devices and seeks innovative solutions to safeguard them. Through his research, Dr. Ashawa aims to contribute significantly to the advancement of cybersecurity practices and knowledge.

Skills:

Dr. Moses Ashawa possesses a robust skill set that spans various domains within cybersecurity and education. His technical expertise includes penetration testing, ethical hacking, and malware analysis, allowing him to identify vulnerabilities in systems and develop effective security measures. He is proficient in digital forensics, utilizing advanced methodologies to recover and analyze data from electronic devices for investigative purposes. Dr. Ashawa has a strong foundation in artificial intelligence and machine learning, which he applies to enhance cybersecurity measures and improve threat detection capabilities. In addition to his technical skills, he excels in curriculum development and instructional design, having created innovative course materials that engage students and facilitate effective learning. His ability to provide individualized support reflects his strong interpersonal skills and commitment to student success. Furthermore, Dr. Ashawa is adept at collaborating with industry partners, demonstrating his capacity to bridge the gap between academia and the professional world. His diverse skill set not only enhances his research capabilities but also enriches the educational experiences of his students.

Publication Top Noted:

“Enhancing credit card fraud detection: an ensemble machine learning approach”

  • Authors: AR Khalid, N Owoh, O Uthmani, M Ashawa, J Osamor, J Adejoh
  • Journal: Big Data and Cognitive Computing, 2024
  • Citations: 40

“RETRACTED ARTICLE: Improving cloud efficiency through optimized resource allocation technique for load balancing using LSTM machine learning algorithm”

  • Authors: M Ashawa, O Douglas, J Osamor, R Jackie
  • Journal: Journal of Cloud Computing, 2022
  • Citations: 39

“Analysis of android malware detection techniques: a systematic review”

  • Authors: MA Ashawa, S Morris
  • Publisher: Society of Digital Information and Wireless Communications, 2019
  • Citations: 35

“Effective methods to detect metamorphic malware: a systematic review”

  • Authors: M Irshad, HM Al-Khateeb, A Mansour, M Ashawa, M Hamisu
  • Journal: International Journal of Electronic Security and Digital Forensics, 2018
  • Citations: 23

“Analysis of mobile malware: a systematic review of evolution and infection strategies”

  • Authors: M Ashawa, S Morris
  • Publisher: جامعة نايف العربية للعلوم الأمنية‎, 2021
  • Citations: 20

“Forensic data extraction and analysis of left artifacts on emulated android phones: a case study of instant messaging applications”

  • Authors: M Ashawa, I Ogwuche
  • Journal: Seizure, 2017
  • Citations: 11

Conclusion:

Dr. Moses Ashawa exemplifies the qualities sought in the Research for Best Researcher Award. His robust academic credentials, extensive teaching experience, significant research contributions, and active engagement in professional development all position him as a leading figure in the field of Cyber Security and Digital Forensics. His ability to bridge the gap between academia and industry, alongside his dedication to fostering student success, makes him a commendable candidate for this prestigious award.

Moses Ashawa | Cybersecurity | Best Researcher Award

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