Shanxi University, China
Profile
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Early Academic Pursuits
Haotian Chi embarked on his academic journey with a strong passion for computer science and information security. He earned his Ph.D. degree in Computer and Information Sciences from Temple University, U.S., in 2022. During his doctoral studies, he demonstrated remarkable proficiency in areas such as conflict detection, anomaly detection, data privacy, and wireless security, laying a solid foundation for his future research contributions.
Professional Endeavors
Currently serving as an Assistant Professor at Shanxi University, Dr. Chi has rapidly established himself as a leading young scholar. He is recognized as a Principal Investigator (PI) for multiple prestigious projects funded by the National Natural Science Foundation of China (NSFC) and Shanxi Provincial programs. His research projects primarily focus on intelligent anomaly detection, smart home security, heterogeneous IoT platforms, and data privacy mechanisms. His work has been instrumental in advancing the understanding and development of secure, efficient IoT environments.
Contributions and Research Focus
Dr. Chi's research contributions span smart home security, multi-source heterogeneous data analysis, privacy-preserving mechanisms, and wireless security solutions. Notably, his work has been published in premier venues such as IEEE Symposium on Security and Privacy (S&P), USENIX Security, and the Network and Distributed Systems Security (NDSS) Symposium. His patented innovations—ten granted and several under review—demonstrate real-world applications of his research, especially in areas such as location privacy protection, anomaly detection, and smart home monitoring.
Impact and Influence
Dr. Chi has published over 30 papers in high-impact international journals and conferences, substantially contributing to fields like IoT security and data privacy. His paper contributions to IEEE TDSC, USENIX Security, and GLOBECOM have been widely cited, reflecting the practical relevance and academic rigor of his work. Moreover, his role as a participant in significant U.S. NSF-funded projects highlights his international collaboration and influence in shaping global IoT security research trends.
Academic Citations and Recognitions
As an emerging scholar, Dr. Chi's academic influence continues to grow, with a steady increase in citation metrics. His recognition as one of the first batch recipients of the prestigious "Wenying Young Scholar" Talent Program at Shanxi University exemplifies his outstanding achievements and future potential. His innovative approaches, such as non-intrusive dual-channel smart home monitoring frameworks, have positioned him as a thought leader in cybersecurity research.
Technical Skills
Dr. Chi has deep expertise in cybersecurity, federated learning, anomaly detection, data privacy, wireless and IoT security, software development for smart home systems, and network traffic analysis. His technical proficiency encompasses building secure, intelligent systems that not only detect but also proactively mitigate cyber threats in complex, heterogeneous environments.
Teaching Experience
At Shanxi University, Dr. Chi has embraced a dual role of educator and mentor. His courses integrate cutting-edge research topics with practical applications, preparing students for careers in cybersecurity, AI, and IoT engineering. He is also actively engaged in mentoring undergraduate and graduate students, fostering the next generation of cybersecurity researchers.
Legacy and Future Contributions
Looking ahead, Dr. Haotian Chi envisions developing more robust and interpretable security systems for the rapidly evolving smart environments. His future work aims to bridge the gap between academic innovation and industrial application, with a focus on enhancing the security, efficiency, and privacy of next-generation IoT systems. Through sustained research, impactful teaching, and international collaboration, Dr. Chi is set to leave a lasting legacy in the fields of data privacy, cybersecurity, and smart technology innovation.
Notable Publications
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Publication: IoTBystander: A Non-Intrusive Dual-Channel-Based Smart Home Security Monitoring Framework
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Authors: Haotian Chi, Qi Ma, Yuwei Wang, Jing Yang, Haijun Geng
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Journal/Conference: Applied Sciences
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Year: 2025
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Publication: Hybrid Makes Better: Hybrid Differential Privacy Medical Image Classification Based on Federated Learning
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Authors: Shunrong Jiang, Yingjie Liu, Zhi Wang, Yonggang Li, Haotian Chi*, Xiaojiang Du
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Journal/Conference: IEEE Transactions on Dependable and Secure Computing (TDSC)
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Year: 2025 (Accepted)
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Publication: Detecting and Handling IoT Interaction Threats in Multi-Platform Multi-Control-Channel Smart Homes
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Authors: Haotian Chi, Qiang Zeng, Xiaojiang Du
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Journal/Conference: 32nd USENIX Security Symposium
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Year: 2023
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Publication: Delay Wreaks Havoc on Your Smart Home: Delay-based Automation Interference Attacks
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Authors: Haotian Chi, Chenglong Fu, Qiang Zeng, Xiaojiang Du
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Journal/Conference: IEEE Symposium on Security and Privacy (SP)
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Year: 2022
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Publication: PFirewall: Semantics-Aware Customizable Data Flow Control for Smart Home Privacy Protection
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Authors: Haotian Chi, Qiang Zeng, Xiaojiang Du, Lannan Luo
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Journal/Conference: Network and Distributed Systems Security (NDSS) Symposium
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Year: 2021