Biography
I’m a 4th year Ph.D. student at the University of Arizona. My advisor is Dr. Carlos Scheidegger. My current research interests are interactive data visualization, big data analysis and machine learning. I also have research experience in HDFS and data mining during my master’s program.
I received my M.S. in Computer Science from University of Illinois Springfield in Springfield, IL and my B.E. in Computer Science&Engineering from Huazhong University of Science and Technology in Wuhan, China.
Research Projects
- Using Visualization to Understand Deep Learning(2018.5 – Present)
- Visualizing Earthquake Simulation Data(2016.9 – 2018.5)
- ANTARES: The Arizona-NOAO Temporal Analysis and Response to Events System (2017.5 – 2017.8)
- A Markov Chain Collaborative Filtering Model for Course Enrollment Recommendations(2015.11 – 2016.7)
- Implementation of scalable fuzzy relational operations in MapReduce (2014.12 – 2015.6)
Posters & Blogs
- Mingwei Li, Zhenge Zhao, Carlos Scheidegger.”Visualizing neuron activations of neural networks with the grand tour” [HTML] .Accepted to VISxAi Workshop at IEEE VIS 2018.
- Zhenge Zhao, Danilo Motta, Youhao Wei, Matthew Berger, Joshua Levine, Carlos Scheidegger, Ismail Bahadir and Robert Fleischman. “Visualizing Earthquake Simulation Data”.[PDF][POSTER] IEEEVIS 2017
Papers
- The ANTARES Collaboration. “Machine-learning-based Brokers for Real-time Classification of the LSST Alert Stream“. The Astrophysical Journal Supplement Series
- Elham S. Khorasani, Zhenge Zhao and John Champaign. “A Markov Chain Collaborative Filtering Model for Course Enrollment Recommendations“. 2016 IEEE International Conference on Big Data
- Elham S. Khorasani, Matthew Cremeens, Zhenge Zhao.”Implementation of scalable fuzzy relational operations in MapReduce.” Soft Computing(2017) pp 1-15
Competitions
- My team Goodnuts(with Pan Ju, Yaomiao Yang, Zheng Li) won two categories (Data Science and Visualization, Best Use of AWS) in Hack Arizona 2018.
