Pilsung Choe | Mobile Commerce Security | Best Researcher Award

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Dr. Pilsung Choe | Mobile Commerce Security | Best Researcher Award

Associate Professor, Qatar University, Qatar

Dr. Pilsung Choe, a distinguished Associate Professor at Qatar University in Qatar, has been honored with the prestigious Best Researcher Award for his groundbreaking work in Mobile Commerce Security. 🏆 His dedication and expertise have significantly contributed to advancing the field, ensuring the safety and integrity of mobile transactions in an increasingly digital world. Dr. Choe’s innovative research stands as a beacon of excellence, inspiring fellow academics and industry professionals alike. With his ongoing commitment to excellence, he continues to pave the way for enhanced security measures in mobile commerce, shaping the future of digital transactions.

Profile

Orcid

Education

Dr. Pilsung Choe’s illustrious academic journey is marked by a Ph.D. in Industrial Engineering from Purdue University, IN, USA (2007), where he laid the foundation for his exemplary career. 🎓 Prior to this, he earned an M.S. from the Department of Industrial Engineering at POSTECH (Pohang University of Science and Technology), S. Korea (1995), and a B.S. from Hanyang University, Seoul, South Korea (1992). His commitment to education dates back to his formative years at Haeundae High School in Busan, S. Korea (1988). This diverse educational background has equipped Dr. Choe with a breadth of knowledge and expertise that he brings to his role as an Associate Professor at Qatar University.

Employment

Dr. Pilsung Choe’s distinguished career spans academia and industry, reflecting his multifaceted expertise and dedication to advancing the field of Industrial Engineering. As an Associate Professor, he currently holds a prominent position at Qatar University, Doha, Qatar (since 2014), where he enriches the Industrial and Systems Engineering Program. 🎓 Prior to this, he served as an Associate Professor at Northeastern University, Shenyang, China, and Tsinghua University, Beijing, China. His academic journey includes impactful roles at Purdue University, IN, USA, where he contributed as a Visiting Assistant Professor and engaged in post-doctoral research. Dr. Choe’s industry experience at Samsung Electronics, Seoul, South Korea, further enriches his perspective, having held managerial and research positions.

Research Areas

Dr. Pilsung Choe’s expertise spans a diverse range of fields, encompassing user interactions, human factors and ergonomics, and engineering management. With a focus on user-centered design, he excels in areas such as user experience, human-computer interactions, and information design, ensuring products and systems are optimized for usability and effectiveness. 🖥️ In human factors and ergonomics, Dr. Choe delves into aspects of safety, human information processing, and understanding human behavior, crucial for designing environments conducive to human well-being and productivity. Additionally, his proficiency in engineering management is evident through his adeptness in decision-making methodologies, Bayesian statistics, and techniques like AHP and statistical quality management, essential for efficient and effective project management and optimization

Publications Top Notes

Independent User Circular Behaviors and Their Motivators and Barriers: A Review 🔄 (2022) – Sustainability DOI: 10.3390/su142013319

COVID-19 Vaccine Willingness and Hesitancy Among Residents in Qatar: A Quantitative Analysis Based on Machine Learning 💉 (2022) – Journal of Human Behavior in the Social Environment DOI: 10.1080/10911359.2021.1973642

Increasing Customer Trust Towards Mobile Commerce in a Multicultural Society: A Case of Qatar 📱 (2020) – Journal of Internet Commerce DOI: 10.1080/15332861.2019.1695179

 

 

 

 

Qussai Yaseen | Android Malware Detection | Outstanding Scientist Award

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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.

Education:

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.

Profile:

Experience:

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.

Publications:

  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