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.)

Jin Zhang | Big Data and Research Methods

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Prof Dr. Jin Zhang : Leading Researcher in Big Data and Research Methods

University of Wisconsin-Milwaukee, United States.

Congratulations, Prof Dr. Jin Zhang, on winning the esteemed Best Researcher Award from ResearchW! Your dedication, innovative research, and scholarly contributions have truly made a significant impact in your field. Your commitment to advancing knowledge and pushing the boundaries of research is commendable. Here’s to your continued success in shaping the future of academia and making invaluable contributions to your field. Well done!

Profile: Scopus

Education:
  • University of Pittsburgh, School of Information Sciences  Ph.D.
  • Wuhan University, Department of Information Science M.S.
  • Wuhan University, Department of Information Science B.S.
Employment and Working Experience:
  • University of Wisconsin-Milwaukee, School of Information Studies Professor, 2010-
  • University of Wisconsin-Milwaukee, School of Information Studies Associate Professor, 2004-2010
Honors and Awards:
  • ASIS&T Distinguished Member (2021)
  •  Outstanding Paper Award The Utah Academy of Sciences, Arts & Letters  (2015)
  • Emerald Outstanding Reviewer Award (2013)
Computer Experience:
  • Programming languages: SQL, Visual Basic, SPSS, Visual C++ (MFC) and Java.
Professional Societies:
  • American Society for Information Science and technology- 1999 ACM member
  • The ASIS&T Awards & Honors Committee, 2001
  • The ASIST Research Award Committee, 2002
  • ASIST Wisconsin Chapter treasure, 2000-2003
  • ASIST Wisconsin Chapter Chair, 2004-2005
Publications:

Journal papers:

  • Zhao, Y.M., Wu, M. R., and Zhang, J. (2023). Identifying the Driving Factors of Word Co-occurrence: A Perspective of Semantic Relations. Scientometrics, 128, pp. 6471–6494.
  • Zhang, J. and Chen, J.Y. (202X). Investigation of Library Job Demands and Requirements through the Lens of the Job Market.  The Journal of Library Administration, XX(X), XX-XX. Accepted.
  • Zhang, J. and Chen, J.Y. (202X). Skill Analysis of Library and Information Science Professionals. The Journal of Librarianship & Information Science, XX(X), XX-XX. Accepted.
  • Zhang, J., Le, T.W., and Chen, J.Y. (2023). Investigation of Essential Skills for Data Analysts: An Analysis Based on LinkedIn. The Journal of Global Information Management, 31(1), 1-21.
  • Zhu, Y.F.  and Zhang, J. (20XX). An optimization analysis of the subject directory system on the MedlinePlus portal – an investigation of children related health topics. Knowledge Organization, X(X), pp XX-XX. Accepted.
  • Wang, Y.Y. and Zhang, J. (2023). A Study on User-Oriented Subjects of Child Abuse on Wikipedia: A Temporal Analysis of Wikipedia History Versions and Traffic Data”, Journal of Medical Internet Research, 25, e43901.
  • Zhang, J., Wolfram, D., and Ma, F.C. (2023). The Impact of Big Data on Research Methods in Information Science.  Data and Information Management, 7(2), pp. 100038.
  • Chen, Y., Lin, H., Zhang, J., and Zhao, Y. (XXXX). Online Health Information Consumers’ Learning across Health-Related Search Tasks from the Perspective of Retrieval Platform Switching. Journal of Information Science, Accepted.
  • Zhao, Y. & Zhang, J. (2023). Social Networks and Analytics. In J. Wang (Ed.), Encyclopedia of Data Science and Machine Learning (pp. 2528-2538). IGI Global. https://doi.org/10.4018/978-1-7998-9220-5.ch152.
  • Zhao, Y.M., Wu, L.R., Zhang, J., Le, T.W. (2021). How Questions’ Characteristics Affect Their Answer Outcome in Social Question and Answer Websites. The Journal of Global Information Management, 29(6), pp 1-21.
  • Omwando B., and Zhang, J. (2021). Analysis of Malaria Information on a Social Media Platform, HCI International 2021, Lecture Notes in Computer Science, 12796, 298-316.

Selected conference papers:

  • Wang, Y.Y, and Zhang, J. (2024) A Study on Health Consumers’ Emotional Responses to Asthma-Related Videos on YouTube, iConference 2024 – Wisdom, Well-being, Win-win Virtual Academic Program: 15-18 April, 2024. Onsite Academic Program in Changchun, China: 22-26 April, 2024.
  • Bozkurt, S., Hong, Y., Goddard, M., Kahn, E. C., and Zhang, J. (2024). Advancing Patient-Centered Radiology Reporting Through AI: Best practices for Utilizing Natural Language Processing with Patient Friendly Terminologies, ISKO 2024 Conference,  March 20-22, 2024, Wuhan, China.
  • Omwando B., and Zhang, J. (2021). Analysis of Malaria Information on a Social Media Platform, HCI International 2021, Lecture Notes in Computer Science, volume 35, 12796.
  • Zhao, Y., Chen, Y., Zhang, J., Dong, Q., Cao, G., & Zhang, Z. (2019). How did people feel during the Zika virus breakout? A sentiment analysis of Zika virus related posts on Yahoo! Answers. Proceedings of the Association for Information Science and Technology, 56(1), 849–851.

Books / Book Chapters:

  • Zhang, J. (2009). Chapter “The challenges, opportunities, and futures of information retrieval visualization”, in the book Information Resources Plan and Knowledge Science Advances, (pp. 219-240).  Wuhan University Press.
  • Zhang, J. (2008). Visualization for Information Retrieval, Springer.
  • Zhang, J. (2005). Chapter “Information Retrieval for Visualization” in the book Knowledge Technique and Application,  Science and Technology Documentation Publisher, pp. 431-460.

May your efforts cultivate a future where the skies are not only filled with innovation but are also fortified against the challenges that technological progress may bring.

Wishing you continued success in your endeavors to secure the future of Big Data and Research Methods.

Award Manager,
Cybersecurity Awards,
International Research Awards on Cybersecurity and Cryptography,
cybersecurity@researchw.com