Dr. Rui Meng | Security Assessment Awards | Best Researcher Award

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Dr. Rui Meng | Security Assessment Awards | Best Researcher AwardΒ 

Dr. Rui Meng, Beijing University of Posts and Telecommunications, China

Dr. Meng Rui is a dedicated researcher in the fields of sensor authentication, wireless security, and physical layer authentication. He earned his Bachelor’s degree in Information Engineering from Beijing University of Posts and Telecommunications from 2014 to 2018, followed by a Ph.D. in Information and Communication Engineering from the same institution, which he completed in 2024. Currently, Dr. Meng serves as a Postdoctoral Researcher at the School of Cyberspace Security at Beijing University of Posts and Telecommunications. He has published nearly 20 papers in prestigious international journals and conferences, including Sensors, IEEE Transactions on Industrial Informatics, and the IEEE Internet of Things Journal. Dr. Meng has also contributed to five national-level projects, such as the National Key Research and Development Program and the National Natural Science Foundation of China, showcasing his commitment to advancing knowledge in his field.

Professional Profile:

GOOGLE SCHOLAR

ORCID

Suitability of Dr. Meng Rui for the Research for Best Researcher Award

Dr. Meng Rui is an exemplary candidate for the Research for Best Researcher Award due to his significant contributions to the fields of Sensor Authentication, Wireless Security, and Physical Layer Authentication. Below is a detailed summary of his qualifications and achievements that support his suitability for this prestigious recognition.

πŸŽ“ Education Background

  • Bachelor’s Degree in Information Engineering (2014–2018)
    Beijing University of Posts and Telecommunications πŸŽ“
  • Ph.D. in Information and Communication Engineering (2018–2024)
    Beijing University of Posts and Telecommunications πŸŽ“

πŸ’Ό Work Experience

  • Postdoctoral Researcher (2024–Present)
    School of Cyberspace Security, Beijing University of Posts and Telecommunications πŸ§‘β€πŸ”¬

πŸ† Achievements

  • Published nearly 20 international journal and conference papers in renowned publications, including:
    • Sensors
    • IEEE Transactions on Industrial Informatics (TII)
    • IEEE Internet of Things Journal (IoTJ)
    • IEEE Transactions on Cognitive Communications and Networking (TCCN)
    • IEEE GlobeCom πŸ“š
  • Key contributions include innovations in Physical Layer Authentication, Sensor Authentication, and Wireless Security for Industrial IoT and 6G Systems.
  • Author of impactful works such as:
    • Channel Code-Book (CCB): Semantic Image-Adaptive Transmission in Satellite–Ground Scenarios 🌌
    • Physical-layer authentication using hierarchical variational autoencoder 🌐
    • Multiuser physical-layer authentication via latent perturbed neural networks πŸ€–
  • Active participant in five national-level projects, including:
    • The National Key Research and Development Program πŸ”‘
    • The National Natural Science Foundation of China 🌏

✨ Awards and Honors

  • Recognition for contributions to secure wireless communications in next-gen technologies. πŸ…
  • Active collaborator in cutting-edge cybersecurity research at the national level. 🌟

PublicationΒ Top Notes:

A survey of Machine Learning-based Physical-Layer Authentication in wireless communications

Channel Code-Book (CCB): Semantic Image-Adaptive Transmission in Satellite–Ground Scenario

Feature Importance-Aware Task-Oriented Semantic Transmission and Optimization

Multiobservation-Multichannel-Attribute-Based Multiuser Authentication for Industrial Wireless Edge Networks

Multidimensional Fingerprints-Based Multiattacker Detection for 6G Systems

Task-Oriented and Semantic-Aware Heterogeneous Networks for Artificial Intelligence of Things: Performance Analysis and Optimization

Dr. Bahar AydΔ±n Can | Security Awards | Women Researcher Award

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Dr. Bahar AydΔ±n Can | Security Awards | Women Researcher AwardΒ 

Dr. Bahar AydΔ±n Can, Izmit Vocational School, Turkey

Bahar AydΔ±n Can is a Lecturer at Kocaeli University, located in Izmit, Turkey, where she has been teaching since 2005. She holds a Doctoral Degree in the socio-economic impacts of the Kocaeli-KandΔ±ra Food Specialization Organized Industrial Zone, which she completed in 2018 under the supervision of Dr. Sait Engindeniz. Her academic journey also includes a Master’s Degree in the production and marketing of mandarins, completed in 2004, and a Bachelor’s Degree in 1998. Throughout her career, Bahar has contributed to several scientific research projects, focusing on agricultural economics, livestock support, milk marketing efficiency, and environmental impact in the agricultural-food sector. In addition to her teaching role, she has held several administrative positions, including Co-head of the Department of Plant and Animal Production and Vice Director at Kocaeli University’s Arslanbey Vocational School. Bahar is also a dedicated project leader and thesis advisor, mentoring students and researchers in fields related to agriculture and sustainability. Her academic work, along with her leadership in various projects, has made her a prominent figure in agricultural research in Turkey.

Professional Profile:

SCOPUS

Suitability of Bahar AydΔ±n Can for the Research for Women Researcher Award

Bahar AydΔ±n Can is highly suitable for the Research for Women Researcher Award based on her extensive academic background, research involvement, leadership roles, and contributions to the fields of agricultural economics and sustainable agriculture.

Education:

  1. Doctoral Degree (March 26, 2018)
    • Thesis: A Study on the Socio-economic Impacts of the Kocaeli-KandΔ±ra Food Specialization Organized Industrial Zone
    • Thesis Advisor: Dr. Sait Engindeniz
  2. Master’s Degree (June 14, 2004)
    • Thesis: A Study on Mandarin Production and Marketing in Selected Enterprises in Seferihisar District, Izmir
    • Thesis Advisor: Murad Yercan
  3. Bachelor’s Degree (June 15, 1998)

Β Professional Experience:

  • Lecturer at Kocaeli University, Izmit Vocational School, Department of Plant and Animal Production, Medical and Aromatic Plants Program (since June 10, 2005)

Positions in Projects:

  1. Cooperative Partner Analysis of Utilization of Livestock Support and Milk Marketing Efficiency in Dairy Cattle Enterprises
    • Researcher: Bahar AydΔ±n Can
    • Collaborators: Sait Engindeniz, Onur Can
    • Project Duration: March 7, 2021 – April 10, 2023
    • Supported by: Higher Education Institutions
  2. Environmental Emission Level Determinants of Firms in the Agricultural-Food Sector
    • Researcher: Bahar AydΔ±n Can
    • Collaborators: Δ°lhan Γ‡am, ÜmmΓΌhan Mutlu
    • Project Duration: December 8, 2024 – In Progress
    • Supported by: Higher Education Institutions
  3. Determining the Harvest Maturity and Storage Properties of Miski Pepino Solanum muricatum Ait Cultivar Grown in Kocaeli Conditions
    • Researcher: Rezzan KasΔ±m
    • Collaborators: Mehmet Ufuk KasΔ±m, Bahar AydΔ±n Can, Mehmet ÜnlΓΌ, Cengiz Ay
    • Project Duration: January 1, 2006 – January 1, 2008
    • Supported by: Higher Education Institutions

Administrative Positions:

  1. Co-head of Department at Kocaeli University, Izmit Vocational School, Department of Plant and Animal Production (2021 – present)
  2. Co-head of Department at Kocaeli University, Arslanbey Vocational School, Marketing and Advertising Department (2013-2015)
  3. Vice Director at Kocaeli University, Arslanbey Vocational School (2015-2019)
  4. Co-head of Department at Kocaeli University, Arslanbey Vocational School, Marketing and Advertising Department (2005-2013)

Publication top Notes:

Turkish Consumers’ Perceptions of Organic Milk and the Factors Affecting Consumption: The Case of Kocaeli, TΓΌrkiye

A research on the opinions and suggestions of the youth who study agriculture in turkey on the young farmer grant project

Determining the opinions and expectations of the local farmers about the potential impacts of kocaeli kandira food specialized organized industrial zone, Turkey

A research on the characteristics and activities of producers in organic markets: A case study of Izmit and Sişli district

The Effect of Bat Guano Applied to the Soil in Different Forms and Doses on Some Plant Nutrient Contents

Ms. MIRACLE UDURUME | Intrusion Detection | Best Researcher Award

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Ms. MIRACLE UDURUME | Intrusion Detection | Best Researcher Award

Ms. MIRACLE UDURUME, Ulsan University, South Korea

Uduru Miracle is a researcher and graduate student at Kumoh National Institute of Technology in Gumi, Gyeongbuk, South Korea. With a strong academic background, he holds an MSc in Microbiology from Kumoh Institute of Technology, where he completed a thesis on real-time multimodal emotion recognition under the supervision of Professor Wansu Lim. He earned his BSc in Mathematics from Delta State University, Abraka, Nigeria, graduating with second-class upper division honors. His research interests span data generation, emotion recognition, and machine learning. During his time at Kumoh Institute of Technology, Miracle contributed to various lab projects, including the generation of synthetic data for supercapacitors, voice and face emotion recognition using machine learning models, and real-time multimodal emotion recognition. He also played a pivotal role in developing hybrid lithium-ion and ultra-capacitors for electric vehicles. His academic excellence and research contributions have been recognized through awards, including the Korean Government Scholarship Award (2021-2023) and the Christ High School Scholarships.

Professional Profile:

SCOPUS

 

Summary of Suitability for Best Researcher Award

Udurume Miracle is a highly promising candidate for the Best Researcher Award, showcasing an impressive academic background and research expertise in advanced areas such as data generation, emotion recognition, and machine learning. His work primarily focuses on real-time multimodal emotion recognition, utilizing sophisticated techniques like multithreaded weighted average fusion, which highlights his innovative approach to solving complex problems.

πŸŽ“ Education

  • MSc in Microbiology
    Kumoh National Institute of Technology, South Korea
    πŸ“… February 2023

    • Thesis: Real-time Multimodal Emotion Recognition Based on Multithreaded Weighted Average Fusion
    • Advisor: Professor Wansu Lim
  • BSc in Mathematics
    Delta State University, Abraka, Nigeria
    πŸ“… October 2019

    • Second Class Upper Division
    • Thesis: Counting Techniques in Discrete Mathematics
    • Advisor: Dr. J.S. Apanapudor

πŸ”¬ Research Interests

  • Data Generation
  • Emotion Recognition
  • Machine Learning

πŸ”¬ Research Experience

Kumoh National Institute of Technology, South Korea
πŸ“… June 2021 – November 2022

  • Worked on lab projects under the supervision of Professor Wansu Lim
  • Generated synthetic data for predicting the remaining useful life of supercapacitors using methods like GANs, Auto-encoders, and statistical approaches πŸ“Š
  • Conducted voice emotion recognition using machine learning models such as LSTM and CNNs πŸŽ™οΈ
  • Performed face emotion recognition on embedded hardware systems like Jetson Nano and Jetson TX2 πŸ“Έ
  • Developed real-time multimodal emotion recognition using multithreaded weighted average fusion πŸ”„
  • Researched hybrid lithium-ion and ultra-capacitors for electric vehicles πŸš—
  • Applied data fusion techniques for face and speech emotion recognition πŸ€–
  • Generated artificial data for ultra-capacitor projects πŸ”‹

πŸ… Honors and Awards

  • Christ High School Scholarships
    πŸ“… September 2012

    • Part-time scholarship for secondary school education πŸŽ“
  • Korean Government Scholarship Award
    πŸ“… 2021 – 2023

    • Full funding for Master’s program in South Korea πŸ‡°πŸ‡·

Publication top Notes:

 

Synthetic Data Generation Using GAN for RUL Prediction of Supercapacitors

Emotion Recognition Implementation with Multimodalities of Face, Voice and EEG