I am currently a doctoral student in Computer Science at George Mason University, working with Dr. Robert Simon in Systems Lab. My current research focuses on the area of performance modeling and evaluation of the Wireless Sensor Networks (WSNs). I explore new energy-integrated models based on Stochastic Network Calculus theories to probabilistically bound the worst-case performances of WSNs.
In 2013, I obtained my Master degree in Electronic and Computer Engineering at the University of Rochester, where I worked with Dr. Tolga Soyata and Dr. Wendi Heinzelman on the area of mobile-cloud computing acceleration using a cloudlet. As a member of the MOCHA group, we prototyped Cloud Vision, a real-time face recognition system based on the mobile-cloudlet-cloud architecture. In 2012, I received my B.S. in Applied Physics at Dalian University of Technology in Dalian, China.
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• Analyzed and identified the performance bottlenecks of an network risk analysis system
• DImplemented various optimization techniques which provided more than 73% reduction of end-to-end latency
• Optimized the performance of Adobe Primetime Cloud Content Compression (PC3) system - result in 8x speedup in terms of response latency
• Designed and implemented a control-loop-based autonomic system to enable self-optimization of PC3 system at cluster level to satisfy QoS requirements with dynamic workload
• Responsible for production data monitoring, analysis and visualization using shell scripts, Python and VBA
• Assisted in various troubleshooting of the automation systems including root cause investigations and maintenance policy development
• Involved in implementing and deploying the level 8 fab automation systems at Intel Fab 68
Accelerating Adobe PC3 (Primetime Cloud Content Compression) 2016-2016
Dimensioning Energy Harvesting WSNs using Stochastic Network Calculus 2015-2016
Real-time Consensus in Wireless Sensor Networks 2015-2015
Controlled Chaos: Two-tier Clustered All-to-all Communication in WSNs 2014-2015
On-demand Virtual Machine Synthesis 2014-2015
MOCHA (MObile Cloud-based Hybrid Architecture) Project 2012-2013
• Designed and implemented the Cloud Vision 2 system - a cloudlet-based real-time face recognition system for Android devices using OpenCV and nVidia CUDA
• Analyzed the algorithmic structure of the face detection and recognition algorithms and determined their best execution strategy on the mobile-cloudlet-cloud architecture
Implementaion of a MIPS R10000-like Microprocessor in Verilog 2012-2012
Computational Simulation of Low-dimentional Nanoclusters 2010-2012
• Applied ab initio method to investigate the structual properties of the low-dimensional MgO and Au-Ag nanoclusters
Modelling Wireless Sensor Networks with Energy Harvesting: A Stochastic Calculus ApproachHaoliang Wang and Robert Simon
The Cloudlet Accelerator: Bringing Mobile-Cloud Face Recognition into Real-TimeNathaniel Powers, Alexander Alling, Kiara Osolinsky, Tolga Soyata, Meng Zhu, Haoliang Wang, He Ba, Wendi Heinzelman, Jiye Shi, and Minseok Kwon
Hardware and software aspects of vm-based mobile-cloud offloadingYang Song, Haoliang Wang, and Tolga Soyata
Accessing big data in the cloud using mobile devicesHaoliang Wang, Wei Liu, and Tolga Soyata
Accelerating Mobile-Cloud Computing Using a CloudletHaoliang Wang
Atomic structures and electronic properties of small Au–Ag binary clusters: Effects of size and compositionLiang Hong, Haoliang Wang, Jingxin Cheng, Xiaoming Huang, Linwei Sai and Jijun Zhao.
Lowest-energy structures of (MgO) n (n= 2–7) clusters from a topological method and first-principles calculationsLiang Hong, Haoliang Wang, Jingxin Cheng, Lingli Tang, and Jijun Zhao