Christopher Chadwick
Lecturer
Faculty Researcher
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Biography and Research Information
OverviewAI-generated summary
Christopher Chadwick's research has focused on field surveys of natural disasters, specifically examining storm surge impacts from Typhoon Rai in the Philippines in December 2021. His work in this area includes detailed field surveys to document the event's effects. Chadwick also investigates advancements in mobile computing and cybersecurity, with publications exploring enhanced Android malware detection through fine-grained opcode analysis, data augmentation, and zero-day evaluation. Additionally, his research extends to deep learning approaches for context-aware event sequence prediction in sustainable mobile computing, utilizing Long Short-Term Memory (LSTM) networks. His scholarship metrics include an h-index of 5, with 24 total publications and 209 total citations. He has collaborated with Kyungtae Kim and Caiden Chadwick at Arkansas State University.
Metrics
- h-index: 5
- Publications: 24
- Citations: 213
Selected Publications
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Enhanced Android Malware Detection: Fine-Grained Opcode analysis, Data Augmentation and Zero-Day Evaluation (2025)
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Context-Aware Event Sequence Prediction for Sustainable Mobile Computing Using LSTM: A Deep Learning Approach (2025)
Collaboration Network
Top Collaborators
- Context-Aware Event Sequence Prediction for Sustainable Mobile Computing Using LSTM: A Deep Learning Approach
- Context-Aware Event Sequence Prediction for Sustainable Mobile Computing Using LSTM: A Deep Learning Approach
- Context-Aware Event Sequence Prediction for Sustainable Mobile Computing Using LSTM: A Deep Learning Approach
- Context-Aware Event Sequence Prediction for Sustainable Mobile Computing Using LSTM: A Deep Learning Approach
- Enhanced Android Malware Detection: Fine-Grained Opcode analysis, Data Augmentation and Zero-Day Evaluation
- Enhanced Android Malware Detection: Fine-Grained Opcode analysis, Data Augmentation and Zero-Day Evaluation
- Enhanced Android Malware Detection: Fine-Grained Opcode analysis, Data Augmentation and Zero-Day Evaluation
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