Welcome!

I am Noseong Park, an assistant professor at the University of North Carolina, Charlotte.

  • Computer Science Ph.D, University of Maryland, College Park, USA, 2016
    • Thesis topic: Graph/SPARQL Query Processing
    • Other topics: Data Mining, Machine Learning, Constrained Optimization and Logic Programming
  • Researcher, Electronics and Telecommunications Research Institute (ETRI), Daejeon, Korea, 2005~2011
    • Research topics: Sensor Network and Internet of Things (IoT)
    • Wireless Sensor Network, ZigBee Low-Power Router (LPR) Working Group, and IEEE 802.15.4
  • Master of Science, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea, 2005
    • Thesis topic: Low-power Wireless Sensor Network Protocols
    • Research topics: Sensor Network and Internet of Things (IoT)
  • Bachelor of Engineering, Soongsil University, Seoul, Korea, 2003
 Phone: 704-687-8666, Email: npark2@uncc.edu, Office: 305C Woodward Hall, UNC Charlotte

Notice

I am looking for PhD students (2 RAs and 2 TAs are available). I will provide very detailed guidance to research for currently pending topics (listed below). Please join if you think you can follow me. Eventually, I want you to show independent research ability around the last phase of PhD. Please send me your CV. (Already occupied)

  1. Knowledge Graph Embedding Reading Material, Reading Material, Reading Material
  2. Cybersecurity Data Mining from Texts and System Vulnerability Inference (Text Mining, Markov Random Field) Reading Material, Reading Material, Reading Material
  3. Knowledge Graph Approach to Cybersecurity (Text Mining, Relation Extraction, Ontology, Semantic Web, SPARQL Query Processing) Reading Material, Reading Material
  4. Privacy Preserving Data Mining and Data Watermark
  5. Incremental and Local Community Detection (Data Mining, Social Network) Reading Material, Reading Material
  6. General Machine Learning and Predictive Analytics (Section 1, 2, 3, 4, 8, and 11 of the popular Bishop textbook)
  7. Optimization Reading Material, Reading Material, Reading Material

News

  • <PAPER> 10/4/2017: "Top-k User-Defined Vertex Scoring Queries in Edge-Labeled Graph Databases " accepted by ACM Transactions on the Web
  • <PAPER> 8/26/2017: "SHARE: A Stackelberg Honey-Based Adversarial Reasoning Engine" accepted by ACM Transactions on Internet Technology
  • <PAPER> 7/26/2017: "MMGAN: Manifold Matching Generative Adversarial Network for Generating Images" uploaded in arXiv
  • <PAPER> 5/23/2017: "A Probabilistic Logic of Cyber Deception" accepted by IEEE Transactions on Information Forensics & Security
  • <PAPER> 3/31/2017: "SENA: Preserving Social Structure for Network Embedding" accepted by the 28th ACM Conference on Hypertext and Social Media (ACM HT) 2017
  • <FUNDING> 1/3/2017: Lead PI, $150K, "Data De-identification and Knowledge Graph Embedding" approved by Electronics and Telecommunications Research Institute (ETRI)
  • <PAPER> 12/2/2016: "We used Neural Networks to Detect Clickbaits: You won't believe what happened Next!" accepted by the 39th European Conference on Information Retrieval (ECIR) 2017
  • <PAPER> 11/23/2016: "Data-Driven Frequency-Based Airline Profit Maximization" accepted by ACM Transactions on Information Systems and Technology
  • <SERVICE> 8/19/2016: PC Member at the 21st Pacific Asia Conference on Knowledge Discovery and Data Mining (PAKDD) 2017
  • <PAPER> 8/16/2016: Presented "MAP: Maximizing Airline Profits using an Ensemble Game-Theoretic Forecasting Approach" in the 22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2016
  • <PAPER> 7/15/2016: "Ensemble-Based Algorithms to Detect Disjoint and Overlapping Communities in Networks" has won the best-paper runner up in IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) 2016
  • <PAPER> 7/1/2016: "Using Temporal Probabilistic Logic for Optimal Monitoring of Security Events with Limited Resources" accepted by Journal of Computer Security