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Start Over Degree PHD Committee Member Sencun Zhu Keyword Machine Learning

1. Making Sense of Conflict in Distributed Teams: A Design Science Approach

open_access
Open Access
Author:
Zhang, Guangxuan
Title:
Making Sense of Conflict in Distributed Teams: A Design Science Approach
Graduate Program:
Information Sciences and Technology
Keywords:
Conflict
Design Science
CM2
Conflict Management System
Argument Detection
Text Mining
Machine Learning
Distributed Team
Open-source Software Development
File:
Download Dissertation_20161127.pdf
Committee Members:
Heng Xu, Dissertation Advisor/Co-Advisor
Heng Xu, Committee Chair/Co-Chair
Sencun Zhu, Committee Member
Zhenhui Li, Committee Member
Daniel Cardoso Llach, Outside Member

2. Towards Secure Solutions for Cloud Applications

open_access
Open Access
Author:
Liao, Cong
Title:
Towards Secure Solutions for Cloud Applications
Graduate Program:
Information Sciences and Technology
Keywords:
Cloud Computing
MapReduce
Provenance Logging
Invariant Violation Detection
Hadoop File System
Distributed Storage
Location-Awareness
Machine Learning
Adversarial Machine Learning
Security
Convolutional Neural Networks
File:
Download Dissertation-Cong.pdf
Committee Members:
Anna Cinzia Squicciarini, Dissertation Advisor/Co-Advisor
Anna Cinzia Squicciarini, Committee Chair/Co-Chair
Peng Liu, Committee Member
Sencun Zhu, Committee Member
David Jonathan Miller, Outside Member

3. User Protection in Social Networks using Machine Learning Techniques

open_access
Open Access
Author:
Zhong, Haoti
Title:
User Protection in Social Networks using Machine Learning Techniques
Graduate Program:
Electrical Engineering
Keywords:
Machine Learning
Privacy
Cyberbully
Social Networks
File:
Download User_protection_in_social_networks_using_machine_learning_techniques.pdf
Committee Members:
David Jonathan Miller, Dissertation Advisor/Co-Advisor
Anna Cinzia Squicciarini, Committee Chair/Co-Chair
George Kesidis, Committee Member
Sencun Zhu, Committee Member
Dongwon Lee, Outside Member

4. Towards Designing Accurate Detection Methods for Emerging Cyber Threats

open_access
Open Access
Author:
Yuan, Lun Pin
Title:
Towards Designing Accurate Detection Methods for Emerging Cyber Threats
Graduate Program:
Computer Science and Engineering (PHD)
Keywords:
Anomaly Detection
Cybersecurity
Machine Learning
Deep Learning
Cyberthreats
Malware
File:
Download lunpin_dissertation.pdf
Committee Members:
Peng Liu, Co-Chair of Committee
G. Tan, Major Field Member
Sencun Zhu, Chair & Dissertation Advisor
Anna Squicciarini, Outside Unit & Field Member
Guohong Cao, Major Field Member
Chitaranjan Das, Program Head/Chair