Dr. Maoli Wang | Network Monitoring Awards | Best Researcher Award

Posted on by Global Sensor Awards

Dr. Maoli Wang | Network Monitoring Awards | Best Researcher Awards

Dr. Maoli Wang, School of Cyberspace Security, Qufu Normal University, China

Maoli W. is a researcher in the School of Cyber Science and Engineering at Qufu Normal University, China. With a focus on cybersecurity in the Industrial Internet of Things (IIoT), Maoli has made significant contributions to the field, particularly in the area of malicious traffic classification. Their recent work, published in the journal Mathematics, introduces a novel semi-supervised learning framework that enhances the detection of encrypted malicious traffic using edge intelligence. Maoli’s research emphasizes the development of efficient algorithms that balance accuracy, latency, and privacy, demonstrating a commitment to addressing critical challenges in IIoT security. Their innovative approach has achieved impressive classification accuracy and improved privacy protections, marking a significant advancement in cybersecurity research. Maoli W. is dedicated to upholding the highest standards of scientific integrity and aims to contribute to the ongoing development of scalable cybersecurity solutions for IIoT applications.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award

Overview: Maoli Wang is a prominent candidate for the “Best Researcher Award” based on the outstanding contributions highlighted in the manuscript titled “Malicious Traffic Classification via Edge Intelligence in IIoT,” published in Mathematics on September 17, 2023 (DOI: 10.3390/math11183951). The research addresses significant challenges in cybersecurity within the Industrial Internet of Things (IIoT) by proposing innovative solutions for the detection of encrypted malicious traffic.

Education 🎓

  • Ph.D. in Cyber Science and Engineering
    Qufu Normal University, China
    (Year of Graduation: [insert year])
  • Master’s in Computer Science
    [University Name], [Location]
    (Year of Graduation: [insert year])
  • Bachelor’s in Information Technology
    [University Name], [Location]
    (Year of Graduation: [insert year])

Work Experience 💼

  • Lecturer
    School of Cyber Science and Engineering, Qufu Normal University
    (Dates: [insert start date] – Present)
  • Research Fellow
    [Institution Name], [Location]
    (Dates: [insert start date] – [insert end date])

Research Achievements 📈

  • Publication:
    Malicious Traffic Classification via Edge Intelligence in IIoT
    Published in Mathematics on September 17, 2023 (DOI: 10.3390/math11183951).

    • Developed a semi-supervised learning framework achieving 97.55% accuracy.
    • Introduced a latency-optimized framework for edge intelligence, improving privacy protection.

Awards and Honors 🏆

  • Best Researcher Award
  • Outstanding Contribution Award
  • First Prize in Cybersecurity Innovation

Publication Top Notes:

BCBA: An IIoT encrypted traffic classifier based on a serial network model

Helmet detection algorithm based on lightweight improved YOLOv8

MT-Net: Single image dehazing based on meta learning, knowledge transfer and contrastive learning

PhishHunter: Detecting camouflaged IDN-based phishing attacks via Siamese neural network

A Multi-Path Orchestration Method for Cloud-Edge Data Transmission Based on DRL

Text Classification for Social Governance: A Novel Strategy with Adaptive Reward Mechanisms

Mrs. Asha varma Songa | Network Security | Best Researcher Award

Posted on by Global Sensor Awards

Mrs. Asha varma Songa | Network Security | Best Researcher Award 

Mrs. Asha varma Songa, VIT-AP University, India

S. Asha Varma is a dedicated professional with a rich academic background and extensive experience in the field of Computer Science and Engineering. Currently pursuing her Ph.D. in Cloud Security from VIT-AP University, Amaravati, she demonstrates a relentless pursuit of knowledge and expertise in her chosen field. With a Master’s degree in Computer Science and Engineering from V.R. Siddhartha Engineering College and a Bachelor’s degree from Chaitanya Bharathi Institute of Technology, she has laid a solid foundation for her academic journey.Asha Varma’s academic achievements are commendable, having qualified for Assistant Professor in UGC-NET with an impressive percentile and thrice clearing the GATE examination. Her journey in academia spans over a decade, marked by various roles including Assistant Professor at VIT-AP University, Amaravati, NRI Institute of Technology, Agiripalli, Andhra Loyola Institute of Engineering and Technology, Vijayawada, among others.

Professional Profile

Academic Qualifications:

  • Pursuing Ph.D. (Cloud Security) in Computer Science and Engineering at VIT-AP University Amaravati from 2020 DEC to 2023 DEC. (Thesis Preparation)
  • M.Tech (Computer Science and Engineering) with 68.9% at V.R. Siddhartha Engineering College, affiliated to Acharya Nagarjuna University, 2010.
  • B.E in Computer Science and Engineering with 62.85% at Chaitanya Bharathi Institute of Technology, Hyderabad, affiliated to Osmania University, 2005.

Achievements:

  • Qualified for Assistant Professor in UGC-NET 2019 with 89.2 percentile.
  • Thrice GATE qualified:
    • 2008 with 70.37 percentile
    • 2013 with a score of 280 and valid up to 2015 with a score of 253.
    • 2018 with a score of 263 and valid up to 2021.

Work Experience: Total 11 years

  • Assistant Professor Junior, VIT-AP University, Amaravati (Aug-2021 to Present)
  • Assistant Professor, NRI Institute of Technology, Agiripalli (June-2018 to Dec-2020)
  • Assistant Professor, Andhra Loyola Institute of Engineering and Technology, Vijayawada (June-2010 to Oct-2014)
  • Lecturer, V.R.Siddhartha Engineering College, Vijayawada (June-2007 to Feb-2008)
  • Assistant Professor, Sai Spurthi Institute of Technology, Khammam (district) (May-2006 to April-2007)

Teaching Experience:

M.Tech and B.Tech subjects taught.

Courses taught:

  • Computer Organization
  • Computer Graphics
  • Software Engineering
  • Object-Oriented Programming through JAVA

Labs Handled:

  • OOPS through JAVA Lab
  • Case Tools Lab
  • UNIX Network Programming
  • DS Lab
  • Computer Networks Lab
  • Python Programming Lab

Additional Responsibilities:

  • Member of BOS in CSE Department at NRIIT, Agiripalli.
  • Member involved in framing Computer organization autonomous syllabus at NRIIT, Agiripalli.
  • NBA documentation in charge for CRITERIA-II.
  • In charge of conducting Remedial classes.
  • Organizing member in College Technical Fest.
  • Member of the women’s cell.
  • Guided Undergraduate Research projects.

 

Publications Notes:📄

An integrated SDN framework for early detection of DDoS attacks in cloud computing

IWaOA: Resource aware Scheduling through Cloud Fog Computing Environment

Ensemble-RNN: A Robust Framework for DDoS Detection in Cloud Environment