Ms. Ujunwa Madububa Mbachu | Cybersecurity | Best Researcher Award

Posted on by ScienceFather

Ms. Ujunwa Madububa Mbachu | Cybersecurity | Best Researcher Award

Ms. Ujunwa Madububa Mbachu, University of Southern Mississippi, United States

Ms. Ujunwa Madububa Mbachu is a Ph.D. candidate in Computer Science (Cybersecurity) at the University of Southern Mississippi, USA. She is a Visiting Instructor at the School of Computing Sciences and Computer Engineering and a Research Associate at the SPEN Lab, focusing on security and privacy in emerging networks. With extensive experience in teaching, research, and industry leadership, she is the President of the Cyberwatch Foundation, promoting inclusivity in cybersecurity education. Her expertise spans cybersecurity, machine learning, cloud computing, and privacy protection. She has received prestigious awards, including the Dissertation Completion Grant and Hall of Fame Induction at her university.

🌍 Professional Profile:

Google Scholar

🏆 Suitability for Best Researcher Award 

Ms. Mbachu is an exceptional candidate for the Best Researcher Award due to her groundbreaking contributions in cybersecurity, privacy, and emerging network security. Her Ph.D. research on Secure and Privacy-Aware Traffic Management Services in Autonomous Vehicles addresses critical global challenges in data protection and smart transportation. She has authored impactful research, led cybersecurity initiatives, and mentored students in computing sciences. As a leader in the Cyberwatch Foundation, she actively bridges academic research and real-world applications. Her dedication to advancing cybersecurity knowledge and fostering technological inclusivity makes her a highly deserving nominee for this prestigious recognition.

🎓 Education 

Ms. Mbachu is currently pursuing a Ph.D. in Computer Science (Cybersecurity) at the University of Southern Mississippi (2021–2025), with a dissertation on Secure and Privacy-Aware Traffic Management Services in Autonomous Vehicles, under the supervision of Dr. Ahmed Sherif. She earned an M.Sc. in Information Technology from the National Open University (NOUN), Nigeria (2017), focusing on the socioeconomic implications of national security and privacy systems. Her academic foundation includes a strong background in computer science, cybersecurity, and privacy research, preparing her for innovative contributions in data security, artificial intelligence, and cloud computing.

👩‍💻 Professional Experience

Ms. Mbachu is a Visiting Instructor at the University of Southern Mississippi, teaching computer science and IT courses across various modalities. She has also served as a Graduate Teaching Assistant, mentoring students and supporting research in cybersecurity. As a Research Associate at the SPEN Lab, she actively investigates security and privacy challenges in emerging networks. In the industry, she is the President of Cyberwatch Foundation, driving cybersecurity education initiatives. Her roles in academia and leadership demonstrate her commitment to advancing cybersecurity knowledge and empowering future researchers in the field.

🏅 Awards & Honors

Ms. Mbachu has received numerous accolades, including the 2025 Graduate School Dissertation Completion Grant and Hall of Fame Induction at the University of Southern Mississippi. She was also awarded the 2025 Student Travel Grant for her outstanding contributions to research. In 2021, she was honored with the College of Arts & Science Student Travel Award for her impactful academic work. These recognitions highlight her excellence in cybersecurity research, academic performance, and leadership in technology education. Her commitment to innovation and mentorship in cybersecurity has earned her prestigious acknowledgments from both academic and professional institutions.

🔬 Research Focus 

Ms. Mbachu’s research spans cybersecurity, privacy protection, machine learning, deep learning, and cloud computing. Her work focuses on securing emerging networks, with particular interest in privacy-aware traffic management in autonomous vehicles. She explores how artificial intelligence and cryptographic models enhance data security in smart infrastructures. Her studies also address cloud security, cyber-attack prevention, and AI-driven risk assessments. Through her leadership at the Cyberwatch Foundation, she advocates for inclusive cybersecurity education. Her multidisciplinary research contributes to both theoretical advancements and real-world cybersecurity applications, ensuring safer digital ecosystems in emerging technologies.

📖 Publication Top Notes 

  1. Machine Learning Techniques to Predict Mental Health Diagnoses: A Systematic Literature Review
    • Year: 2024
    • Citations: 7
  2. Predictive Machine Learning Approaches for Mental Health Diagnoses in College Students
    • Year: 2024
  3. A Review of Machine Learning Techniques to Predict Mental Health Diagnoses
    • Year: 2024
  1. Secure and Privacy-Preserving Aggregation Scheme for Traffic Management Systems
    • Year: 2023
    • Citations: 2
  2. Hardware-Acceleration Based Privacy-Aware Authentication Scheme for Internet of Vehicles
    • Year: 2024
  3. Privacy-Aware and Hardware Acceleration-Based Aggregation Scheme for Smart Grid Networks
    • Year: 2023

 

 

Dr. Ling Li | Information Security | Best Researcher Award

Posted on by ScienceFather

Dr. Ling Li | Information Security | Best Researcher Award

Dr. Ling Li, University of Electronic Science and Technology of China, China

Dr. Ling Li is an accomplished researcher at the University of Electronic Science and Technology of China, specializing in cyberspace security and advanced AI techniques. With a Ph.D. in Cyberspace Security and a strong academic foundation, Dr. Li has made significant contributions to the fields of cloud-edge computing, federated learning, and 6G network security. Her research has garnered attention for its innovative approaches to privacy protection, data cleaning, and multi-task scheduling in heterogeneous edge networks. She has published extensively in top-tier journals and conferences and holds multiple patents in the field. Dr. Li’s work continues to shape the future of secure, intelligent network systems, and she is recognized for her leadership in advancing next-generation technologies. 🚀

Professional Profile:

Orcid

Suitability for the Award

Dr. Ling Li is highly suitable for the Best Researcher Award due to her pioneering contributions to cybersecurity, federated learning, and network security. Her innovative work on improving model accuracy and privacy in non-IID environments, as well as her advancements in 6G network security, position her as a leader in these cutting-edge fields. With several high-impact publications, multiple patents, and leadership roles in national projects, Dr. Li has demonstrated excellence in both research and practical applications. Her continuous efforts to push the boundaries of secure and intelligent network systems make her an ideal candidate for this prestigious award. 🏅

Education

🎓 Dr. Ling Li holds a Ph.D. in Cyberspace Security from the University of Electronic Science and Technology of China, where she specialized in cybersecurity and intelligent network systems. Before pursuing her Ph.D., she earned her Master’s degree from Southwest Jiaotong University, laying the groundwork for her research in network security and artificial intelligence. Her academic journey has been focused on blending theoretical knowledge with practical applications, particularly in the areas of privacy protection and federated learning. Dr. Li’s education has provided a strong foundation for her innovative contributions to the rapidly evolving field of cybersecurity and intelligent systems. 📘

Experience

Dr. Li has extensive academic and research experience, currently serving as a key researcher at the University of Electronic Science and Technology of China. She leads cutting-edge projects on cloud-edge computing, federated learning, and 6G network security. Her expertise has made her a pivotal figure in the development of innovative approaches for enhancing privacy protection in non-IID environments. Dr. Li has also been involved in key national projects, including a Central Universities Foundation initiative and a National Natural Science Foundation project, where she serves as a lead researcher. Her experience spans across cybersecurity, AI, and data analytics, making her a leading expert in these domains. 🌐

Awards and Honors

🏆 Dr. Ling Li’s exceptional research has earned her several honors, including recognition for her groundbreaking work in federated learning and network security. She has published multiple SCI/EI-indexed papers in prestigious journals such as MDPI Sensors and Frontiers of Computer Science, and presented at major conferences like IJCNN and ISNCC. Additionally, Dr. Li holds three Chinese invention patents, underscoring her innovation in the field. Her leadership in national and university-level projects has positioned her as a trailblazer in her field, contributing significantly to the advancement of cybersecurity and intelligent network systems. 🎖️

Research Focus

🔍 Dr. Li’s research focus lies at the intersection of cybersecurity, artificial intelligence, and intelligent network systems. She has pioneered new methods in cloud-edge-end federated learning to improve model accuracy and privacy protection, particularly in non-IID environments. Her work extends to the development of statistical relational learning techniques for automatic data cleaning and repair. Furthermore, Dr. Li is at the forefront of 6G network security research, with a focus on privacy protection and multi-task scheduling optimization in heterogeneous edge networks. Her contributions have significant implications for the future of secure, intelligent networks. 🌟

Publication Top Note:

Title: Cloud–Edge–End Collaborative Federated Learning: Enhancing Model Accuracy and Privacy in Non-IID Environments
Year: 2024

 

 

 

Prof. Daehee Jang | Software Security Awards | Best Researcher Award

Posted on by ScienceFather

Prof. Daehee Jang | Software Security Awards | Best Researcher Award

Prof. Daehee Jang, Kyung Hee University, South Korea

Prof. Daehee Jang is an accomplished academic currently serving as Assistant Professor at Kyunghee University’s Computer Engineering Department in South Korea. He holds a Ph.D. and M.S. in Information Security from the Korea Advanced Institute of Science and Technology (KAIST), where he studied under Prof. Brent Byunghoon Kang, and a B.S. in Computer Engineering from Hanyang University. Dr. Jang’s professional journey includes roles as a Postdoctoral Researcher at Georgia Tech and Assistant Professor at Sungshin Women’s University. He has received prestigious honors such as the Grand Prize in the Information Security Paper Competition and the NAVER Ph.D. Fellowship Award, showcasing his significant contributions to the field of information security.

Professional Profile:

Google Scholar

🎓 Educational Background:

Dr. Daehee Jang earned his Ph.D. and M.S. degrees from the Korea Advanced Institute of Science and Technology (KAIST), specializing in Information Security under the guidance of Prof. Brent Byunghoon Kang. He also holds a B.S. in Computer Engineering from Hanyang University, graduating with honors after completing military service.

💼 Professional Journey:

Currently serving as Assistant Professor at Kyunghee University in the Computer Engineering Department, Dr. Jang previously held a similar role at Sungshin Women’s University. He also gained international research experience as a Postdoctoral Researcher at Georgia Tech under the mentorship of Prof. Taesoo Kim.

🏆 Academic Achievements:

Dr. Jang has received numerous accolades, including the Grand Prize in the 2017 Information Security Paper Competition and the Excellence Award in multiple editions of the Korea Information Security Paper Competition. His contributions to the field have been recognized with awards such as the NAVER Ph.D. Fellowship Award in 2016.

Publication Top Notes:

 

 

Ms. Kritika | Cybersecurity Awards | Best Researcher Award

Posted on by ScienceFather

Ms. Kritika | Cybersecurity Awards | Best Researcher Award

Ms. Kritika, India

🎓 Ms. Kritika, a dynamic Computer Science postgraduate 🖥️, holds both a Master’s and Bachelor’s degree from GGSIP University in New Delhi, India 🇮🇳. As an Independent Researcher based in Delhi, her expertise in cybersecurity is evident through her extensive contributions, including peer-reviewed articles and book chapters 📚. Kritika’s research interests span interdisciplinary cybersecurity domains, code smell detection in software 🧾, and vulnerability analysis and mitigation strategies 🛡️. Her ambition and dedication drive her to uncover new insights and best practices in the ever-evolving landscape of cybersecurity.

🌐 Professional Profile:

Orcid

🎓 Educational Background

  • Master of Technology in Computer Science and Engineering (2022) – GGSIP University, New Delhi, India
  • Bachelor of Technology in Information Technology (2019) – GGSIP University, New Delhi, India

🏢 Professional Experience

  • Independent Researcher – Delhi, India

📝 Research Interests

  • Interdisciplinary cybersecurity domains
  • Code smell detection in software
  • Vulnerability analysis and mitigation strategies

Publication Top Notes:

1.  Cyber Security and its cognitive ramifications on E-Governance
2.  Correlating propensity between code smell and vulnerability in java applications
3.  A Deep Dive into Code Smell and Vulnerability Using Machine Learning and Deep Learning Techniques
4.  A review on harmonizing psychological factors into cyber space
5.  Corollary of digital forensics in e governance

 

 

 

 

 

Dr. Negalign Wake Hundera | Network Security and Cryptography | Best Researcher Award

Posted on by ScienceFather

Dr. Negalign Wake Hundera | Network Security and Cryptography | Best Researcher Award

Dr. Negalign Wake Hundera, Zhejiang Normal University, China

Dr. Negalign Wake Hundera is an accomplished academician and researcher with expertise in network security, cryptography, and cloud computing. Holding a Ph.D. in Software Engineering from the University of Electronic Science and Technology of China, and prior degrees from esteemed institutions in both China and Ethiopia, he has a strong foundation in academia. Currently serving as a Postdoctoral Research Fellow at Zhejiang Normal University, his contributions extend beyond research to mentoring students and securing funding for projects. With a passion for exploring the intersection of technology and real-world applications, he seeks to leverage his skills in innovative environments. Outside academia, he enjoys reading, cooking, and sports like football and table tennis. 🌐🔒🖥️

Professional Profile:

Google Scholar

Orcid

🎓 Education:

Negalign holds a Ph.D. in Software Engineering from the University of Electronic Science and Technology of China, along with an M.Sc. in Computer Science and Technology from the same institution. He earned his Bachelor’s degree in Information Technology from Jimma University, Ethiopia. His research interests span various areas including network security, public key cryptography, IoT, cloud computing, and deep learning.

💼 Employment History:

Currently serving as a Postdoctoral Research Fellow at Zhejiang Normal University, Negalign has been actively engaged in research and academic activities. Prior to this, he worked as an Assistance Professor for Computer Science at Wolkite University, Ethiopia, and as a Lecturer for Computer Science Department at the same university. He also served as an Information Communication and Network Infrastructure Team Leader at Wolkite University.

🔧 Skills:

Negalign possesses expertise in academic writing, teaching, programming languages such as Python, C, and Java, network administration and designing, LANs/WANs, and Internet/Intranet management. He is proficient in troubleshooting network connectivity issues and is well-versed in various protocols and security measures.

📚 Publications:

Negalign has numerous publications in esteemed journals and conferences, covering topics like network security, cloud computing, IoT, and cryptography. His research contributions have been recognized in various academic circles.

🏆 Awards & Certifications:

He has received several academic achievement certificates and awards from the University of Electronic Science and Technology of China. Additionally, he holds certifications in Cisco instruction, maintenance and networking training, and SPSS.

Publication Top Notes:

  1. Title: Permission-based separation of duty in dynamic role-based access control model
    • Journal: Symmetry
    • Year: 2019
    • Citations: 24
  2. Title: A Secure and Efficient Identity-Based Proxy Signcryption in Cloud Data Sharing
    • Journal: KSII Transactions on Internet and Information Systems (TIIS)
    • Year: 2020
    • Citations: 18
  3. Title: A hybrid cnn-lstm model for virtual machine workload forecasting in cloud data center
    • Conference: 2021 18th International Computer Conference on Wavelet Active Media
    • Year: 2021
    • Citations: 11
  4. Title: The Internet of vehicles and smart cities
    • Journal: Annals of Telecommunications
    • Year: 2021
    • Citations: 10
  5. Title: DNACDS: Cloud IoE big data security and accessing scheme based on DNA cryptography
    • Journal: Frontiers of Computer Science
    • Year: 2024