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Chang Liu Department of Computer Science University of Massachusetts, Lowell 198 Riverside St. Lowell, Massachusetts 01854, USA Email: chang_liu AT student DOT uml DOT edu

Biography(Github)(Linkedin)(CV)

I am currently a fifth-year Ph.D student in Department of Computer Science from University of Massachusetts Lowell. Before pursuing PhD, I worked three years as a software engineer for TP-LINK in China. Prior that, I received my B. Eng degree from the computer science and technology department from Huazhong University of Science and Technology in 2011.

My research interest includes computer vision, machine learning, medical imaging and edge computing. I'm interested in applying various deep learning techniques to different platforms and systems.

I'm actively looking for a full-time position starting from May 2019, please email me if you have potential opportunities.

Technical Skills

• Platforms: Unix, Ubuntu, CentOS, Windows 10, MacOS, Google Cloud, Amazon AWS, Microsoft Azure
• Languages: Java, C/C++, Python, Shell, CMake/Make, LaTeX
• Development Tools: QT, OpenCV, MySQL, Android Studio, Eclipse, PyCharm, MATLAB
• Research Tools: Caffe, Tensorflow, Scikit-learn
• Project Management & Version Control: Git, SVN, Agile ZenHub
• Research Experience: deep learning, computer vision, machine learning, medical imaging, edge computing

Professional Experience

• May 2017 - Sep.2017:   Software Engineer Intern,   Intellifai Technologies Co., Ltd
• Jun.2011 - Jun.2014:   Software Engineer,   TP-LINK Technologies Co., Ltd

Publications (Google Scholar)

• TX-CNN: Detecting Tuberculosis in Chest X-Ray Images using Convolutional Neural Network,
  Chang Liu, Yu Cao, Marlon F. Alcantara, Benyuan Liu, Maria J. Brunette, Jesus Peinado, Walter H. Curioso.
  International Conference on Image Processing (ICIP), 2017
  
• Improving Tuberculosis Diagnostics using Deep Learning and Mobile Health Technologies among Resource-poor Communities in Perú,
  Marlon F. Alcantara, Yu Cao, Chang Liu, Benyuan Liu, Maria Brunette, Ning Zhang, Tong Sun, Peifeng Zhang, Qilei Chen, Ying Li, Cesar Morocho Albarracin, Jesus Peinado, Epifanio Sanchez Garavito, Leonid Lecca Garcia, Walter H. Curioso.
  Smart Health, Elsevier (SMHL), 2017
  
• A New Deep Learning-based Food Recognition System for Dietary Assessment on An Edge Computing Service Infrastructure,
  Chang Liu, Yu Cao, Yan Luo, Guanling Chen, Vinod Vokkarane, Yunsheng Ma, Songqing Chen, Peng Hou.
  IEEE Transactions on Services Computing (TSC), 2017
  
• DeepFood: Deep Learning-Based Food Image Recognition for Computer-Aided Dietary Assessment, [Code]
  Chang Liu, Yu Cao, Yan Luo, Guanling Chen, Vinod Vokkarane, Yunsheng Ma.
  International Conference on Smart Homes and Health Telematics, Springer International Publishing (ICOST), 2016
  
• Improving Tuberculosis Diagnostics using Deep Learning and Mobile Health Technologies among Resource-poor and Marginalized Communities, [Slides]
  Yu Cao, Chang Liu, Benyuan Liu, Maria J Brunette, Ning Zhang, Tong Sun, Peifeng Zhang, Jesus Peinado, Epifanio Sanchez Garavito, Leonid Lecca Garcia, Walter H Curioso.
  Proceedings of the First IEEE International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE), 2016
  

Awards and Honor

• Outstanding Reviewer,   Elsevier Neurocomputing,  2018
• NSF Student Travel Scholarship,   IEEE CHASE,  2016
  

Professional Activities

• Teaching Assistant: Software Engineering, Computing III, IV
  
• Research Assistant: Object Detection/Classification, Medical Image Analysis, Edge Computing
• Reviewer: IEEE WCNC, IEEE TPAMI, IEEE Access, IET Electronic Letters, IET Image Processing, Neurocomputing