Bio
Madhuri Siddula is an Assistant Professor in the Department of Computer Science at North Carolina A&T State University. Dr. Siddula obtained her doctorate from the Department of Computer Science at Georgia State University in 2020. Her Ph.D. thesis focuses on privacy-preserving user data publication in online social networks. Her research focuses on privacy-preserving machine learning algorithms for Large Language Models (LLMs) and the Internet of Things (IoT).
She is a recipient of the NSF EiR award for her work on Smart health technologies. She is currently collaborating with Collins Aerospace to develop machine-learning models for interiors. She is part of the NSF Expand AI team focusing on Interdisciplinary Research, Education, and Workforce Development.
She is the coordinator for the undergraduate Cybersecurity certificate at NCAT.
Research Interests
Dr. Siddula is currently working in Privacy-Aware Computing, Large Language Models (LLMs), Smart Health, Smart City, the Internet of Things (IoT), social networks, big data, and data mining.
External URL
https://maddy-siddula.github.io/profile/
Recent Publications
- Lakshmi Rachakonda, Madhuri Siddula, Vanlin Sathya (2024). (A comprehensive study on IoT privacy and security challenges with focus on spectrum sharing in Next-Generation networks (5G/6G/beyond)). (2) 4, pp. 100220. High-Confidence Computing.
- Pal Dave, Xiaohong Yuan, Madhuri Siddula, Kaushik Roy (2024). (Detection of Cyberbullying in GIF Using AI). (Lecture Notes in Networks and Systems) pp. 305-316. Springer Nature Switzerland.
- Dagmawit Aga, Rakesh Chintanippu, Rawshan Mowri, Madhuri Siddula (2024). (Exploring secure and private data aggregation techniques for the internet of things: a comprehensive review). (1) 4, Discover Internet of Things.
- Karen Schnell, Kaushik Roy, Madhuri Siddula (2023). (A Descriptive Study of Webpage Designs for Posting Privacy Policies for Different-Sized US Hospitals to Create an Assessment Framework). (3) 15, pp. 112. Future Internet.
- Rawshan Mowri, Madhuri Siddula, Kaushik Roy (2023). (Is iterative feature selection technique efficient enough? A comparative performance analysis of RFECV feature selection technique in ransomware classification using SHAP). (1) 3, Discover Internet of Things.
- Yourong Chen, Hao Chen, Yang Zhang, Meng Han, Madhuri Siddula, Zhipeng Cai (2022). (A survey on blockchain systems: Attacks, defenses, and privacy preservation). (2) 2, pp. 100048. High-Confidence Computing.
- Chuanxiu Chi, Yingjie Wang, Xiangrong Tong, Madhuri Siddula, Zhipeng Cai (2022). (Game Theory in Internet of Things: A Survey). (14) 9, pp. 12125-12146. IEEE Internet of Things Journal.
- Zhipeng Liu, Niraj Thapa, Addison Shaver, Kaushik Roy, Madhuri Siddula, Xiaohong Yuan, Anna Yu (2021). (Using Embedded Feature Selection and CNN for Classification on CCD-INID-V1—A New IoT Dataset). (14) 21, pp. 4834. Sensors.
- Ji Li, Madhuri Siddula, Xiuzhen Cheng, Wei Cheng, Zhi Tian, Yingshu Li (2020). (Approximate data aggregation in sensor equipped IoT networks). (1) 25, pp. 44-55. Tsinghua Science and Technology.
- Madhuri Siddula, Yingshu Li, Xiuzhen Cheng, Zhi Tian, Zhipeng Cai (2020). (Privacy-Enhancing Preferential LBS Query for Mobile Social Network Users). 2020, pp. 1-13. Wireless Communications and Mobile Computing.
- Madhuri Siddula, Yingshu Li, Xiuzhen Cheng, Zhi Tian, Zhipeng Cai (2019). (Anonymization in Online Social Networks Based on Enhanced Equi-Cardinal Clustering). (4) 6, pp. 809-820. IEEE Transactions on Computational Social Systems.
- Madhuri Siddula, Lijie Li, Yingshu Li (2018). (An Empirical Study on the Privacy Preservation of Online Social Networks). 6, pp. 19912-19922. IEEE Access.
- Gesu Li, Zhipeng Cai, Guisheng Yin, Zaobo He, Madhuri Siddula (2018). (Differentially Private Recommendation System Based on Community Detection in Social Network Applications). 2018, pp. 1-18. Security and Communication Networks.
- Ji Li, Madhuri Siddula, Xiuzhen Cheng, Wei Cheng, Zhi Tian, Yingshu Li (2018). (Sampling Based δ-Approximate Data Aggregation in Sensor Equipped IoT Networks). (Lecture Notes in Computer Science) pp. 249-260. Springer International Publishing.
- Madhuri Siddula, Fei Dai, Yanfang Ye, Jianping Fan (2016). (Classifying construction site photos for roof detection). (3) 16, pp. 368-389. Construction Innovation.
- Madhuri Siddula, Fei Dai, Yanfang Ye, Jianping Fan (2016). (Unsupervised Feature Learning for Objects of Interest Detection in Cluttered Construction Roof Site Images). 145, pp. 428-435. Procedia Engineering.
