Welcome to the Networked & Embedded Systems Laboratory (NESL) at the University of California at Los Angeles (UCLA). Our lab is a part of the Electrical & Computer Engineering Department, and the Computer Science Department. NESL is physically located in 1762 Boelter Hall on UCLA's campus in Westwood, Los Angeles. Our research is in the broad area of embedded and cyber-physical systems for applications in IoT, ubiquitous and mobile computing, and pervasive sensing and control. Our interests are in problems related to making these systems learning-enabled, secure, privacy-aware, human-coupled, wirelessly-networked, and energy-efficient. We take a full-stack approach in our research, working across all layers of systems including algorithms, applications, software, and hardware.
Feel free to explore this web site, and in case of any questions about NESL, please contact Prof. Mani Srivastava. To get a good sense of our current research activity, please look at Prof. Mani Srivastava's publication list on Google Scholar.
NESL is also a part of several exciting center-scale multi-institutional collaborations, whose websites provide further details and the broader context of our research.
• Moustafa F. Alzantot successfully defended his thesis (2019-08-23) [Details]
• Bo-Jhang Ho successfully defends his thesis (2018-11-01) [Details]
• NESL research recognized with 10-year Impact Award at the 2018 International Symposium on Wearable Computers (2018-09-28) [Details]
• Bo-Jhang Ho, Mehmet Koseoglu, Bharathan Balaji, and Mani B. Srivastava. "Nurture: Notifying Users at the Right Time Using Reinforcement Learning", UbiTtention'18, October 2018. [ Details ]
• Moustafa Alzantot, Yash Sharma, Ahmed Elgohary, Bo-Jhang Ho, Mani B. Srivastava, and Kai-Wei Chang. "Generating Natural Language Adversarial Examples", EMNLP 2018 (Conference on Empirical Methods in Natural Language Processing), October 2018. [ Details ]
• Richard Tomsett, Amy Widdicombe, Tianwei Xing, Supriyo Chakraborty, Simon Julier, Prudhvi Gurram, Raghuveer Rao, and Mani B. Srivastava. "Why the Failure? How Adversarial Examples Can Provide Insights for Interpretable Machine Learning", 21st International Conference on Information Fusion (FUSION 2018), October 2018. [ Details ]
• Jeya Vikranth Jeyakumar, Eun Sun Lee, Zhengxu Xia, Sandeep Singh Sandha, and Mani B. Srivastava. "Deep Convolutional Bidirectional LSTM based Transportation Mode Recognition", Proceedings of the 6th International Workshop on Human Activity Sensing Corpus and Applications (HASCA2018), October 2018. [ Details ]