Dr Kimberly Tam

Dr Kimberly Tam

Research Fellow in Cyber Security

School of Engineering, Computing and Mathematics (Faculty of Science and Engineering)


Researcher in maritime cyber-security 


  • Ph.D. (2016) in Information Security, Royal Holloway University of London, UK 
  • B.S. (2012) in Computer and System Engineering, Rensselaer Polytechnic Institute, USA

Previous Positions:
  • 2015-2017.  Research Engineer, Security and Manageability Lab, Hewlett-Packard Enterprise, Bristol, UK
  • Summer 2014. Research Engineering Intern. Malware Lab, Hewlett-Packard Enterprise, Bristol, UK
  • Summer 2012. Cyber Security Intern.  MIT Lincoln Laboratory, Massachusetts, USA
  • Summer 2011. Cyber Security Researcher.  James A Clark, Univeristy of Maryland, Maryland, USA
  • Summer 2010. Engineering Intern.  Sandia National Laboratories, Livermore, CA, USA

Teaching interests

Interested in teaching cyber-security related areas as well as computer systems and engineering.

SEC204 Computer Architecture and Low Level Programming (Module Leader), also taught at HKU Space partners in Hong Kong 
CNET349SL  Incident Prevention, Detection & Response

Tam K, Jones K. MaCRA: A Model-Based Framework for Maritime Cyber-Risk Assessment, Technical Report, WMU Journal of Maritime Affairs, Jan 2019

Tam K, Jones K. Maritime cybersecurity policy: the scope and impact of evolving technology on international shipping.  Journal of Cyber Policy, Accepted 03 Aug 2018, Published online: 29 Aug 2018

Tam K, Jones K. Cyber-Risk Assessment for Autonomous Ships, Cyber Security, 2018

Kimberly Tam, Ali Feizollah, Nor Badrul Anuar, Rosli Salleh, and Lorenzo Cavallaro. The Evolution of Android Malware and Android Analysis Techniques. ACM Computing Surveys (CSUR), 49(4), 2017.

Kevin D Jones, Kimberly Tam, and Maria PapadakI. Threats and impacts in maritime cyber security. IET Engineering and Referene Technology, 2016

Kimberly Kim-Chi Tam. Analysis and Classication of Android Malware. PhD thesis, 2016.

Santanu Kumar Dash, Guillermo Suarez-Tangil, Salahuddin Khan, Kimberly Tam, Mansour Ahmadi, Johannes Kinder, and Lorenzo Cavallaro. Droidscribe: Classifying Android Malware Based on Runtime Behavior. In Security and Privacy Workshops (SPW), 2016 

Kimberly Tam, Salahuddin J Khan, Aristide Fattori, and Lorenzo Cavallaro. Copperdroid: Automatic reconstruction of android malware behaviors. In Network and Distributed System Security (NDSS), 2015.