Mr. Liu Weicheng | Technology | Best Researcher Award

Mr. Liu Weicheng | Technology | Best Researcher Award

Mr. Liu Weicheng, Shandong University of Science and Technology, China

Mr. Liu Weicheng is an accomplished Web Front-end Development Engineer, currently pursuing a Master’s Degree in Ship and Ocean Engineering at Shandong University of Science and Technology. With a Bachelor’s Degree in Automation from the same institution, he brings a wealth of experience in web development, having worked at both Shandong University of Science and Technology. In addition to his professional endeavors, Liu is dedicated to advancing research in areas such as multi-sensor information fusion and communication rate control. His academic excellence, reflected in his impressive GPAs and receipt of the National First-Class Scholarship, underscores his commitment to excellence in both academia and industry. ๐ŸŒ๐Ÿš€

Professional Profile:

Orcid

๐ŸŽ“ Educational Background:

  • Master’s Degree: Ship and Ocean Engineering, Shandong University of Science and Technology (2022 – Present)
  • Bachelor’s Degree: Automation, School of Electrical and Automation Engineering, Shandong University of Science and Technology (2018 – 2022)

๐Ÿข Work Experience:

  • Web Front-end Development Engineer, Hangzhou XX Technology Co., Ltd. (2018.12 – Present)
    • Designed, developed, and maintained web and HTML5 products.
    • Developed mobile platform web front-end pages using HTML5 technologies.
    • Created reusable components based on HTML5.0 standards.
  • Web Front-end Development Engineer, Shanghai XX Technology Co., Ltd. (2016.08 – 2018.11)
    • Constructed front-end interfaces for apps and mini-programs.
    • Utilized React Native for front-end development, writing clean, efficient, and testable code.
    • Contributed to the design and technical discussions of core systems to enhance user experience and product usability.

๐Ÿ“š Research Direction:

  • Multi-sensor information fusion
  • Communication rate control based on event-triggered mechanisms
  • Deception and Control of Cyber Deception Attacks
  • Consensus filtering methods for distributed sensor networks

๐ŸŽ“ Academic Achievements:

  • Master’s GPA: 3.8/4
  • Bachelor’s GPA: 4.6/5
  • Coursework includes Signals and Systems, Integrated Navigation, Modern Signal Processing, Data Structure, Matrix Analysis and Applications, Automatic Control Theory, Digital Signals, Analog Signal, Fundamentals of Sensors, Probability and Statistics, Differential Game.

๐Ÿ… Honors and Awards:

  • Received National First-Class Scholarship for outstanding academic performance during the second year of undergraduate study (2013.09 – 2014.06).
  • Consistently ranked in the top 10 of the class based on academic performance.

Publication Top Notes:

  • Title: Event-triggered sequential fusion filter for nonlinear multi-sensor system with random packet dropout and composite correlated noise
  • Journal: Digital Signal Processing
  • Publication Date: July 2024

 

 

 

 

 

Dr. Ran Dubin | Cyber-Physical Systems

Dr. Ran Dubin : Leading Researcher in Cyber-Physical Systems

Dr. Ran Dubin, Ariel University, Israel

๐ŸŽ“ Dr. Ran Dubin, an accomplished academic and expert in Communication System Engineering, completed a Ph.D. in the field at Ben-Gurion University from 2012 to 2016, under the guidance of Prof. Ofer Hadar and Special Advisor Prof. Amit Dvir. His doctoral research delved into the intricacies of Adaptive Video Streaming. Prior to this, he earned an M.Sc. in Communication System Engineering from the same university, specializing in Video Streaming Optimization Over the Internet. His academic journey began with a B.Sc. in Communication System Engineering from Ben-Gurion University in 2010. ๐ŸŒŸ

๐ŸŒ Following his Ph.D., Dr. Ran Dubin engaged in Post-Doctoral Studies at Ariel University in Computer Science under the mentorship of Prof. Amit Dvir. During this period from 2019 to 2021, his focus was on enriching data from encrypted traffic, contributing significantly to the realm of cybersecurity. ๐ŸŒŸ

Professional Profiles : ๐ŸŒ

Scopus

Google Scholar

ORCID

๐Ÿง  Research Interests ๐Ÿ”ฌ๐ŸŒ :

๐Ÿฅ Video Streaming

๐Ÿ”ฌ Machine Learning

๐Ÿ”ย Malware Research

๐Ÿงช SNDBOX

๐ŸŒ Deep Packet Inspection

๐Ÿ“šย Publication Impact and Citations :ย 

Scopus Metrics:

  • ๐Ÿ“ย Publications: 22 documents indexed in Scopus.
  • ๐Ÿ“Šย Citations: A total of 224 citations for his publications, reflecting the widespread impact and recognition of Dr. Ran Dubinโ€™s research within the academic community.

Google Scholar Metrics:

  • All Time:
    • Citations: 487 ๐Ÿ“–
    • h-index: 11 ๐Ÿ“Š
    • i10-index: 13 ๐Ÿ”
  • Since 2018:
    • Citations: 406 ๐Ÿ“–
    • h-index: 11 ๐Ÿ“Š
    • i10-index: 11 ๐Ÿ”

๐Ÿ‘จโ€๐Ÿซ A prolific researcher with significant impact and contributions in the field, as evidenced by citation metrics. ๐ŸŒ๐Ÿ”ฌ

Publications ( Top Note ) :

“I know what you saw last minuteโ€”encrypted HTTP adaptive video streaming title classification”

Published: IEEE Transactions on Information Forensics and Security, 2017, Cited by 101

“Analyzing HTTPS encrypted traffic to identify user’s operating system, browser and application”

Published: 14th IEEE Annual Consumer Communications & Networking Conference (CCNC), 2017, Cited by 74

“Adaptation logic for HTTP dynamic adaptive streaming using geo-predictive crowdsourcing for mobile users”

Published: Multimedia Systems, 2018, Cited by 70

“The effect of client buffer and MBR consideration on DASH Adaptation Logic”

Published: 2013 IEEE Wireless Communications and Networking Conference (WCNC), 2013, Cited by 34

“Real-time video quality representation classification of encrypted HTTP adaptive video streamingโ€”the case of Safari”

Published: arXiv preprint, 2016, Cited by 22

“I know what you saw last minuteโ€”the Chrome browser case”

Published: Black Hat Europe, 2016, Cited by 17

“MalDIST: From encrypted traffic classification to malware traffic detection and classification”

Published: 2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC), 2022, Cited by 15

“Progressive download video rate traffic shaping using TCP window and deep packet inspection”

Published: WORLDCOMP, Nevada, USA, 2012, Cited by 15

“Video quality representation classification of Safari encrypted DASH streams”

Published: 2016 Digital Media Industry & Academic Forum (DMIAF), 2016, Cited by 14

“Encrypted video traffic clustering demystified”

Published: Computers & Security, 2020, Cited by 13

“Video QoE prediction based on user profile”

Published: 2018 International Conference on Computing, Networking and Communications, 2018, Cited by 12