Academic Profile

Academic Profile

Assoc Prof Zhang Jie

Associate Professor, School of Computer Science and Engineering

Email: zhangj@ntu.edu.sg
Assoc Prof Zhang Jie

Biography
Jie Zhang is an Associate Professor of the School of Computer Engineering, Academic Fellow of the Institute of Asian Consumer Insight at NTU, and Associate of the Singapore Institute of Manufacturing Technology (SIMTech). He obtained Ph.D. in Cheriton School of Computer Science from University of Waterloo, Canada, in 2009. During PhD study, he held the prestigious NSERC Alexander Graham Bell Canada Graduate Scholarship rewarded for top PhD students across Canada. He was also the recipient of the Alumni Gold Medal at the 2009 Convocation Ceremony. The Gold Medal is awarded once a year to honour the top PhD graduate from the University of Waterloo. His papers have been published by top journals and conferences and won several best paper awards. Jie Zhang is also active in serving research communities.
Research Interests
Jie Zhang's research is in the general area of Artificial Intelligence and Multi-Agent Systems, and has been focused on trust management in open, large, dynamic and uncertain environments where users represented by software agents may be deceptive. In particular, he has been addressing the challenging robustness issue in trust management where trust systems become the target of attacks. He has also focused on designing tailored trust systems for emerging application domains (e.g. e-commerce, recommender systems, networking, etc.) to meet specific requirements imposed by the special characteristics of those different application domains. Another major direction of his research is in the design of multi-agent systems and mechanisms that create incentives for agents to behave honestly.

+ Artificial Intelligence
+ Multi-Agent Systems
+ Trust Management
+ Incentive Mechanism
Current Projects
  • A Cultural Study on Trust in Online Social Networks
  • Agent-based Simulation for Engine Development Programme (EDP)
  • BMW Tech Office Singapore - Personal Assist I
  • Cyber-Physical Production System (CPPS) - Towards Contextual and Intelligent Response
  • Detecting frauds in publicly traded Chinese firms
  • Distributed Trust Modeling for Real-time Environments and in Scenarios of System Security
  • Formal Modeling and Analysis of Collaborative Security
  • Link Prediction in Signed Social Networks
  • Mistletoe Research Fellowship: Multi-robot System Architecture (Ewa Andrejczuk)
  • Multi-agent evolutionary framework for multi-objective vehicle routing - RG 16/14
  • ROSE (Reputable Opinion Social Environment) via Connectors, Mavens, and Salesmen
  • Research Programme 3: Mobility Patterns And Concepts
  • Research Programme 3: Mobility Patterns And Concepts
  • Security, Privacy and Trust Framework (SPARK) Platform For Large-scale Heterogenous Wireless Sensor and Actuator Networks
  • Sourcing Robotics: Intelligent sourcing agent
  • Stochastic Vehicle Routing
  • Towards Effective Trust Management with Desired Properties for Vehicular Ad-hoc Networks to Improve Road Safety and Reduce Congestion
  • User and Domain-Driven Analytics as a Service Framework
  • Whom-To-Follow Recommender Systems in Interest-Social Networks: A Fashion Case Study
Selected Publications
  • Xiaoming Li, Hui Fang, Jie Zhang. (2019, February). Supervised User Ranking in Signed Social Networks. Paper presented at The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), Honolulu,Hawaii.
  • Guozhu Meng, Matthew Patrick, Yinxing Xue, Yang Liu, and Jie Zhang. (2018). Securing Android App Markets via Modelling and Predicting Malware Spread between Markets. IEEE Transactions on Information Forensics and Security, .
  • Xiaoming Li, Hui Fang, Qing Yang, Jie Zhang. (2018). Who is Your Best Friend?: Ranking Social Network Friends According to Trust Relationship. the 26th Conference on User Modeling, Adaptation and Personalization.
  • Xiaoming Li, Hui Fang, Jie Zhang. (2018, February). FILE: A Novel Framework for Predicting Social Status in Signed Networks. Paper presented at 32nd AAAI Conference on Artificial Intelligence (AAAI), New Orleans, US.
  • Xiaoming Li, Hui Fang, Jie Zhang. (2017). ADMA 2017: A Feature-based Approach for the Redefined Link Prediction Problem in Signed Networks. The 13th International Conference on Advanced Data Mining and Applications (ADMA) (pp. 165-179).

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