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Qussai Yaseen | Android Malware Detection | Outstanding Scientist Award

Assoc Prof Dr Qussai Yaseen Ajman University, United Arab Emirates

He is a cybersecurity expert with a focus on malware detection, network security, and insider threats. With numerous publications in areas such as network security, insider threat mitigation, IoT security, machine learning applied to cybersecurity (security analytics), and spam filtering, he has established himself as a thought leader in the field. Additionally, he actively contributes to the academic community as a chair, TPC (Technical Program Committee) member, and reviewer for various events, conferences, and journals in cybersecurity and other information technology domains. His expertise and contributions play a vital role in advancing knowledge and practices in cybersecurity, making him a respected figure in both academia and industry.


He pursued his academic journey with dedication, earning his BSc. in Computer Science from Yarmouk University in Irbid, Jordan, from September 1998 to June 2002. Continuing his education, he completed his MSc. in Computer Science at Jordan University of Science and Technology in Irbid, Jordan, from September 2003 to June 2006. Building on his master’s degree, he went on to achieve a Ph.D. in Cybersecurity from the University of Arkansas in Fayetteville, AR, USA, between August 2008 and May 2012. His doctoral dissertation, titled “Mitigating Insider Threat in Relational Database Systems,” was conducted under the guidance of Prof. Brajendra Panda.



He has played a prominent role in curriculum development within the field of cybersecurity, serving as the Head of the Cybersecurity Program Committee at both Ajman University, UAE, in 2023, and Jordan University of Science and Technology, Jordan, in 2020. Additionally, he has contributed as a cybersecurity expert, serving as a member of the HEAC Committee for the Cybersecurity Accreditation Program at Petra University, Jordan, in 2020, and at Yarmouk University, Jordan, in 2019. Furthermore, he has showcased his expertise as a guest editor for the Special Issue on Big Data and Applications in the Cloud for the International Journal of Cloud Applications and Computing (IJCAC) in Volume 7: 4 Issues (2017). Through these leadership and editorial roles, he has demonstrated his commitment to advancing cybersecurity education and research on a global scale.

Awards and Honors:

He has a rich history of academic engagements, including serving as a Visiting Professor at the University of West Attica in Greece through the Erasmus+ Program in September 2018 and at the University of Piraeus, also in Greece, under the Erasmus+ Program in September 2017. Additionally, he contributed as a Visiting Researcher at the University of Minho in Portugal through the ERASMUS MUNDUS program from May to June 2017. Earlier in his career, he held a Graduate Assistantship at the University of Arkansas, USA, from August 2008 to May 2012, where he furthered his studies in cybersecurity. His academic achievements have been recognized with prestigious awards, including the Earl Beling Doctoral Fellowship from the College of Engineering at the University of Arkansas in 2011 and a Bachelor Education Fellowship at Yarmouk University in Jordan from 1998 to 2002.


  1. An Android Malware Detection Approach Based on Static Feature Analysis Using Machine Learning Algorithms Cited By : 16, Published By : 2022
  2. A Novel Machine Learning Approach for Android Malware Detection Based on the Co-Existence of Features Cited By : 9, Published By : 2024
  3. A Comparative Analysis of Machine Learning Algorithms for Android Malware Detection Cited By : 8, Published By : 2023
  4. The Effect of the Ransomware Dataset Age on the Detection Accuracy of Machine Learning Models Cited By : 3, Published By : 2023
  5. A Context-Aware Android Malware Detection Approach Using Machine Learning  Cited By : 6, Published By : 2022
  6. A CNN and Image-Based Approach for Malware Analysis Cited By : 2, Published By : 2022
  7. Spam Email Detection Using Deep Learning Techniques Cited By : 93, Published By : 2021
  8. ReDroidDet: Android Malware Detection Based on Recurrent Neural Network Cited By : 28, Published By : 2021
  9. Machine learning for traffic analysis: a review Cited By : 50, Published By : 2020
  10. Detecting Spam Email with Machine Learning Optimized with Harris Hawks optimizer (HHO) Algorithm Cited By : 20, Published By : 2022
Qussai Yaseen | Android Malware Detection | Outstanding Scientist Award

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