Electrical Engineering and Computer Science

Sunnie S. Chung, Associate Professor of Practice

People at Electrical Engineering and Computer Science

Dr. Sunnie Chung

Sunnie S. Chung, Ph.D.

Associate Professor of Practice
Electrical Engineering and Computer Science

Contact Information:

Education:

  • Ph.D., Case Western Reserve University, 2006

Research Interests:

  • Big Data Analytics (Data Science) with Machine Learning
  • Text Analytics with Natural Language Processing (NLP)
  • Question Answering System (AI)
  • Deep Learning Based Intrusion Detection System
  • Cyber Security and Privacy of Cloud Based IoT Platform with Deep Learning Systems
  • Optimization of Massively Parallel Big Data Processing Systems

Classes Frequently Taught

  • CIS660/EEC525 Data Mining (Big Data Analytics with Machine Learning)
  • CIS 612 Big Data and Parallel Distributed Data Processing Systems
  • CIS 611 Enterprise Database Systems with Data Warehouse and OLAP
  • IST 734 Enterprise Database Systems for Business Intelligence
  • CIS 601 Graduate Research Seminar in Computer Science
  • CIS 492/593 Big Data
  • CIS 430/530 Database System and Processing
  • CIS 408 Internet Computing

Selective Recent Publications

Peer-Reviewed Journal Publications

  • Sun Sunnie Chung and Yixi Luo, “Practical Privacy-Preserving Approach of Cloud-based Deep Learning Systems Using Fully Homomorphic Encryption”, submitted to IEEE Journal of Computing in Science and Engineering, Oct 2022

  • Sun Sunnie Chung and Asanka Kavinda Mananayaka, “Semi-Supervised Network Intrusion Detection with Two Phased Hybrid Ensemble Method”, submitted to the he IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI), Sept 2022

  • Sun Sunnie Chung and Andrew Yu, “Empirical Study: Temporal and Spatial Feature Processing Methods for Prediction of NBA Basketball Plays for Sports Analytics”, Accepted to International Journal of Networked and Distributed Computing (IJNDC), Vol 7: Issue 3, ISSN Print: 2211-7938, ISSN Online: 2211-7946, July 2019

  • Sun Sunnie Chung and Danielle Aring, "Integrated Real-Time Big Data Stream Sentiment Analysis Service", in Journal of Data Analysis and Information Processing, Vol 6: No 2, ISSN Print: 2327-7211 ISSN Online: 2327-7203, May 2018

Peer-Reviewed IEEE Conference Proceedings

  • Mike D’Arcy and Sun Sunnie Chung, “Unsupervised Topic Model Based Text Network Construction for Learning Word Embeddings”, in the Proceedings of the 18th IEEE International Conference on Machine Learning and Applications (ICMLA), Boca Raton Florida, Dec 2019

  • Sunnie S. Chung and Andrew Yu, "Framework for Analysis and Prediction of NBA Basketball Plays", in the Proceedings of the 16th IEEE International Conference on Advanced and Trusted Computing, Leicester UK, August, 2019

  • Sun Sunnie Chung and Jinjie Liu, “Automatic Feature Extraction and Selection for Machine Learning Based Intrusion Detection”, in the Proceedings of the 16th IEEE International Conference on Advanced and Trusted Computing, Leicester UK, August, 2019

  • Andrew Yu and Sun Sunnie Chung, "Automatic Identification and Analysis of Basketball Plays: NBA On-Ball Screens", in the Proceedings of the 4th IEEE International Conference on Big Data, Cloud Computing and Data Science Engineering, Honolulu, May 2019

Peer-Reviewed Book Chapters

  • Andrew Yu and Sun Sunnie Chung, "Automatic Identification and Analysis of Basketball Plays: NBA On-Ball Screens", Invited to be published in Springer's Studies in Computational Intelligence, November 2019

  • Gultekin Ozsoyoglu, David Singer, Sun S. Chung, “Anti-Tamper Database: Querying Encrypted Databases: Extended Work”, In the Book Chapter of Research Directions in Data and Application Security XVIII, Sabrina De Capitani di Vimercati et al., (eds), Kluwer Academic Publisher, Prague, Boston, 2004.

Projects

  • Context Aware Medical Question Answering System with Knowledge Graph and Natural Language Processing
  • Deep Learning Based Intrusion Detection System in Wi-Fi Networks
  • Practical Privacy-Preserving Model for Cloud-based Deep Learning Systems Using Fully Homomorphic Encryption
  • Untargeted Metabolomics Analysis for Identification of Signatures of Schizophrenia Using Machine Learning Approach
  • Real Time Sentiment/Opinion Analysis of Social Network for Prediction of 2020 Presidential Election