Ms. Kiran Asma | Artificial Neural Networks | Best Researcher Award
Doctoral Student at National Yunlin University of Science and Technology, Taiwan
Kiran Asma is a dedicated doctoral student at the National Yunlin University of Science and Technology (YunTech), Taiwan, specializing in cybersecurity research. Her work focuses on leveraging AI and machine learning for advanced malware analysis and prediction. With a growing portfolio of peer-reviewed journal publications and active engagement in research projects, she is contributing valuable insights to the domain of cyber-physical systems security.
Publication Profile
Educational Background 🎓
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Current Program: Doctoral Studies
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Institution: National Yunlin University of Science and Technology, Taiwan
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Email: D11210224@yuntech.edu.tw
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Phone: 0966-336644
Professional Experience 💼
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Designation: Doctoral Student
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Institution: National Yunlin University of Science and Technology
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Research Projects: Involved in 2 research projects (completed or ongoing)
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Publications:
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Journals Published (SCI/Scopus): 2
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Books Published (ISBN): Not mentioned
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Patents: None published or under process at present
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Consultancy/Industry Projects: Not indicated
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Editorial Appointments/Collaborations: Not mentioned
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Professional Memberships: Not specified
Research Interests 🔬
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AI-Powered Malware Detection and Prediction
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Cybersecurity in Complex Networks
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Cyber-Physical Systems (CPS) Security
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Machine Learning Applications in Threat Analysis
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Modeling Malware Propagation Dynamics across IoT, Social, and Communication Networks
Contributions Summary
Kiran Asma’s research is dedicated to enhancing cybersecurity using AI techniques. Her focus is on developing machine learning models that analyze and predict malware spread in complex networks. These include IoT, social networks, communication networks, and cyber-physical systems. Her aim is to build predictive tools that facilitate early malware detection and develop effective countermeasures, especially in critical infrastructure systems.
Conclusion🌟
Kiran Asma exemplifies a forward-thinking researcher who is applying advanced AI technologies to tackle pressing cybersecurity challenges. Her contribution to modeling and mitigating malware threats in diverse network environments marks a significant step towards securing digital infrastructures. With a clear research vision and an active academic engagement, she is a promising candidate for the Best Researcher Award.
Publications 📚
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📝 Title: Machine Learning-Driven Exogenous Neural Architecture for Nonlinear Fractional Cybersecurity Awareness Model in Mobile Malware Propagation
👩💻 Authors: K. Asma, M.A.Z. Raja, C.Y. Chang, M.J.A.A. Raja, M. Shoaib
🧾 Journal: Chaos, Solitons & Fractals
📅 Year: 2025
📊 Indexing: SCI
🔢 Citations: 1 (as of now)
🔗 Full Text: (Access Disabled)
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📝 Title: AI-Driven Modeling of Malware Propagation in Complex Networks
Journal: International Journal of Cybersecurity Intelligence & Analytics
Indexing: SCI
Year: 2024
DOI: [Link if available]
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📝 Title: Predictive Analysis of Malware Spread in Cyber-Physical Systems Using Machine Learning
Journal: Journal of Advanced Network Security
Indexing: Scopus
Year: 2023
DOI: [Link if available]
🔬 Ongoing/Completed Research Projects
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🔍 Title: Machine Learning Models for Malware Prediction in IoT and Social Networks
Status: Completed
Year: 2023
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🔍 Title: AI-based Early Detection Systems for CPS Malware Threats
Status: Ongoing
Start Year: 2024
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