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Expand Up @@ -8,6 +8,11 @@ description: Information regarding student seminar

Student-led seminars are a critical component of the course, with attendance and active participation serving as key metrics for course evaluation. They require students to present a recent research paper (published within the last ten years) from prominent conferences in the field of embedded systems, such as ACM MobiSys, SenSys, MobiCom, Sigcomm, IMWUT, and NSDI.

## Selected Papers

Zhang Chen| Tianxing Li and Xia Zhou. 2018. Battery-Free Eye Tracker on Glasses. In Proceedings of the 24th Annual International Conference on Mobile Computing and Networking (MobiCom ‘18)

Maulana Insan Kamil | CardioCam: Leveraging Camera on Mobile Devices to Verify Users While Their Heart is Pumping - MobiSys 2019 (https://dl.acm.org/doi/10.1145/3307334.3326093)

## Suggested List of Papers

Expand All @@ -34,6 +39,7 @@ You are welcome to also select papers outside the mentioned list.

[Wenli Jiao, Yanlin Li, Xiangdong Xi, Ju Wang, Dingyi Fang, and Xiaojiang Chen. 2023. BioScatter: Low-Power Sweat Sensing with Backscatter. In Proceedings of the 21st Annual International Conference on Mobile Systems, Applications and Services (MobiSys '23)](https://dl.acm.org/doi/abs/10.1145/3581791.3596834)|

[Mohamad Katanbaf, Ali Saffari, and Joshua R. Smith. 2021. MultiScatter: Multistatic Backscatter Networking for Battery-Free Sensors. In Proceedings of the 19th ACM Conference on Embedded Networked Sensor Systems (SenSys '21)](https://dl.acm.org/doi/10.1145/3485730.3485939)

### Emerging Networks

Expand All @@ -43,17 +49,21 @@ You are welcome to also select papers outside the mentioned list.

### Embedded Applications and Security

TBA

### Language and Image Models


[Huatao Xu, Liying Han, Qirui Yang, Mo Li, and Mani Srivastava. 2024. Penetrative AI: Making LLMs Comprehend the Physical World. In Proceedings of the 25th International Workshop on Mobile Computing Systems and Applications (HOTMOBILE '24)](https://dl.acm.org/doi/abs/10.1145/3638550.3641130)

### Language and Image Models

[Zachary Englhardt, Richard Li, Dilini Nissanka, Zhihan Zhang, Girish Narayanswamy, Joseph Breda, Xin Liu, Shwetak Patel, Vikram Iyer. Exploring and Characterizing Large Language Models For Embedded System Development and Debugging. Arxiv](https://arxiv.org/abs/2307.03817)

### TinyML and Machine Learning at the Edge

[Abu Bakar, Tousif Rahman, Rishad Shafik, Fahim Kawsar, and Alessandro Montanari. 2023. Adaptive Intelligence for Batteryless Sensors Using Software-Accelerated Tsetlin Machines. In Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems (SenSys '22)](https://dl.acm.org/doi/10.1145/3560905.3568512)

[Robert David, Jared Duke, Advait Jain, Vijay Janapa Reddi, Nat Jeffries, Jian Li, Nick Kreeger, Ian Nappier, Meghna Natraj, Shlomi Regev, Rocky Rhodes, Tiezhen Wang, Pete Warden: TensorFlow Lite Micro: Embedded Machine Learning on TinyML Systems](https://arxiv.org/abs/2010.08678)

### Augmented and Virtual Reality



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