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

 

 

 

 

Qian Lu | Device Identification | Best Researcher Award

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Dr. Qian Lu, Device Identification, Best Researcher Award

Doctorate at Qingdao University,China

Dr. Qian Lu is an Assistant Professor in the School of Computer Science and Technology at Qingdao University. She obtained her Ph.D. degree from Ocean University of China in 2020. With a specialization in network security, wireless communication, and cyber security, Dr. Lu’s research interests encompass a wide range of topics within the realm of information security. She has a particular focus on Wi-Fi device identification, aiming to develop innovative solutions to enhance network security protocols. Through her research and academic endeavors, Dr. Lu is dedicated to advancing knowledge in the field of computer science while fostering the next generation of researchers and professionals in the domain.

Education:

Ph.D. in Computer Science

  • Ocean University of China
  • Year: 2020

Profile:

Professional  Experience:

Dr. Qian Lu completed her Ph.D. at Ocean University of China in 2020 and now holds the position of Assistant Professor within the School of Computer Science and Technology at Qingdao University. Her professional trajectory underscores a dedication to advancing knowledge in network security, wireless communication, and cyber security domains. Dr. Lu’s specialized focus lies in Wi-Fi device identification, where she pioneers research to fortify network security protocols. Through her tenure, she strives to integrate cutting-edge research with practical applications, shaping the future of computer science education and industry practices.

Research Interests:

Dr. Qian Lu’s research interests encompass a multidisciplinary exploration at the intersection of network security, wireless communication, and cyber security, with a specialized focus on Wi-Fi device identification. Within this dynamic field, she delves into understanding vulnerabilities within computer networks and devising robust strategies for intrusion detection and prevention. Additionally, Dr. Lu is deeply engaged in optimizing wireless communication protocols to enhance efficiency, reliability, and security. She also investigates emerging cyber threats, aiming to develop proactive defense mechanisms to safeguard digital infrastructures. Her particular emphasis on Wi-Fi device identification underscores a commitment to advancing access control and security measures in network environments. Through her research pursuits, Dr. Qian Lu contributes to the broader landscape of information security, aiming to address contemporary challenges and foster resilience in digital communication systems.

Publications:

Bot-DM: A dual-modal botnet detection method based on the combination of implicit semantic expression and graphical expression

  • Authors: Wu, G., Wang, X., Lu, Q., Zhang, H.
  • Journal: Expert Systems with Applications
  • Year: 2024
  • Volume: 248
  • Page: 123384
  • [Link to the article](This link is disabled.)

Eliminating Rogue Access Point Attacks in IoT: A Deep Learning Approach With Physical-Layer Feature Purification and Device Identification

  • Authors: Yang, Z., Lu, Q., Zhang, H., Chen, F., Xian, H.
  • Journal: IEEE Internet of Things Journal
  • Year: 2023
  • Status: Article in Press
  • [Link to the article](This link is disabled.)

Privacy-preserving deep learning for electricity consumer characteristics identification

  • Authors: Zhang, Z., Lu, Q., Xu, H., Kong, F., Yu, Y.
  • Journal: Frontiers in Energy Research
  • Year: 2022
  • Volume: 10
  • Page: 992117
  • [Link to the article](This link is disabled.)

Edge-Assisted Intelligent Video Compression for Live Aerial Streaming

  • Authors: Liu, Z., Wang, M., Chen, F., Lu, Q.
  • Journal: IEEE Transactions on Green Communications and Networking
  • Year: 2022
  • Volume: 6
  • Issue: 3
  • Pages: 1613–1623
  • [Link to the article](This link is disabled.)

PEDR: Exploiting phase error drift range to detect full-model rogue access point attacks

  • Authors: Lu, Q., Li, S., Zhang, J., Jiang, R.
  • Journal: Computers and Security
  • Year: 2022
  • Volume: 114
  • Page: 102581
  • [Link to the article](This link is disabled.)