Distributed computing
Distributed network, consensus problem, decentralized algorithm.
Distributed network, consensus problem, decentralized algorithm.
Time-series data analysis, Data visulization, Data storage and management.
Apply machine learning techniques to solve real-world problems.
In-situ sencing, processing, computing inside sensor network. Communicational optimization.
We design a system which uses cameras and geophones to detect and recognize human activity. The data is video data and vibration data. We use representation learning method to extract feature and trying different model to make classification. This system can help the older people live better if they are living alone in a single house.
This project creates a real-time Ambient Noise Seismic Imaging system, to study and monitor the subsurface sustainability and potential hazards of geological structures. Understanding and addressing the subsurface sustainability has significant impact on the natural, social, and economic issues of the region and across the globe. The system is comprised of a self-sustainable sensor network of geophones that can autonomously perform in-network computing of the 3D shallow earth structure images based on ambient noise alone.
We Developed a fog computing based system to monitoring the cough events with smartphone. A smartphone-based app which including segmentation function and MFCC-HMM method is developed to gathering data. A CNN based classification method is running on cloud to get high specificity.
A contactless and privacy-preserving sensor device, attached to frame underneath a bed, monitors sleep activities, including time-to-bed, timeout-of-bed, number and duration of bed exits, bed restlessness, posture change and urgent events, and estimates heart rate and respiration rate.
A framework of multi-object tracking in videos was proposed and implemented from base models, the RetinaNet and the MemTrack network.
Designed a real-time IoT system including monitoring, self-control, network transmission, data visualization and data processing. Implemented the software and hardware parts including Raspberry Pi, various sensors, mesh networks, Python and Linux.
Indoor Human Activity Monitoring with Smart Floor Seismic Sensor Network.Sili Wang, Shengjie Min, Wenzhan Song. Submit to Percom(2021).
Quality-preserved Ambient Noise Imaging in Distributed Sensor Networks with Limited Bandwidth. Sili Wang, Saikiran Tharimena, Mark Panning, Steve Vance, and WenZhan Song. AGU annual meeting 2020.
Tomography with Common Receiver Clusters in Distributed Sensor Networks.Sili Wang, Fangyu Li, Mark Panning, Saikiran Tharimena, Steve Vance, and WenZhan Song. IEEE Transactions on Signal and Information Processing over Network.
Tracking Underground Moving Targets with Wireless Seismic Networks.Sili Wang, Fangyu Li, Maria Valero, Wenzhan Song. IEEE Smartcomp 2019.
Toward Creating a Subsurface Camera. Sili Wang, Fangyu Li, Maria Valero, Wenzhan Song. 2019 SAGE/GAGE Workshop.
Real-time Cooperative Analytics for Ambient Noise Tomography in Sensor Networks. M Valero, F Li, S Wang, FC Lin, W Song. IEEE Transactions on Signal and Information Processing over Network.
W Huang, R Wang, S Wang, L Cao, B Yu, G Shang. F–xy domain morphological filtering for three-dimensional seismic erratic noise suppression. Geophysical Journal International
Multiple Attenuation Based on Mathematical Morphology Filtering Method. Wang S, Hu T. 77th EAGE Conference and Exhibition 2015.
A multiple regression model for predicting micro loudspeaker perceptual quality using objective measurement data. Liu Zi-Yun, Shen Yong, Wang Si-Li, Shen Jian. Journal of Nanjing University (Natural Sciences) 2012
University of Georgia, GA, US Research Assistant, Spring, 2017 - Current
LinkedSee , Beijing, China Algorithm Engineer Intern, Summer,2019
China Earthquake Networks Center , Beijing, China Assistant Engineer , Fall, 2016 - Spring,2017
Compagnie Generale deGeophsique (CGG) , Beijing, China Engineer Intern, Summer,2015
Peking University, Beijing, China Research Assistant, Fall, 2013 - Spring,2016
I love my family!
Be an Optimist.