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Dr James Jin Kang

Lecturer

Contact Information Telephone: +61 8 6304 5187, Email: james.kang@ecu.edu.au, Campus: Joondalup, Room: JO18416
Staff Member Details
Telephone: +61 8 6304 5187
Email: james.kang@ecu.edu.au
Campus: Joondalup  
Room: JO18416  

 

James (Jin) is a Lecturer in Computing and Security discipline at the School of Science.

Background

James (Jin) has worked in the areas including Health Informatics, IoT (Internet of Health Things), Cybersecurity and Disaster Recovery using smart sensors in low power wide area networks. He has worked in telecommunications industry for over 25 years with projects in Telecom NZ (Spark NZ), Nokia (Alcatel-Lucent), NBN Co, Telstra, Siemens and Vodafone Australia. He has specialised in Network Intelligence for wired and mobile networks during the earlier stages of his career, and later worked on career networks such as IP, IMS, NBN and VoIP technologies. He has recently went to Africa as a volunteer IT advisor sponsored by the Australian government (DFAT) to help NGOs and plans to teach in developing countries as a volunteer in the future.

Professional Memberships

  • 2019 – IEEE 11073 PHD cybersecurity WG, Member
  • 2018 – Australian Computer Society (ACS), Member

Research Areas and Interests

  • Health Informatics
  • Sensor Networks, Smart Sensors
  • IoT (Internet of Health Things)
  • Cybersecurity (Real-time monitoring and detection of threats)
  • Disaster Recovery

Qualifications

  • Doctor of Philosophy, Deakin University, 2017.

Recent Publications (within the last five years)

Journal Articles

  • Kang, J., Fahd, K., Venkatraman, S., (2019), An Enhanced Inference Algorithm for Data Sampling Efficiency and Accuracy Using Periodic Beacons and Optimization. Big data and cognitive computing , 3(1), 1, Basel, Switzerland , DOI: https://doi.org/10.3390/bdcc3010009.
  • Kang, J., Fahd, K., Venkatraman, S., Parvin, S., (2019), Vehicular Alarm System Using mHealth Data and Lightweight Security Algorithms. Technologies, 7(1), 1, Basel, Switzerland , DOI: 10.3390/technologies7010025.
  • Kang, J., Adibi, S., (2018), Systematic Predictive Analysis of Personalized Life Expectancy Using Smart Devices. Technologies, 6(3), article no.74, Basel, Switzerland , DOI: 10.3390/technologies6030074.
  • Kang, J., Fahd, K., Venkatraman, S., (2018), Trusted Time-Based Verification Model for Automatic Man-in-the-Middle Attack Detection in Cybersecurity. Cryptography, 2(4), article no.38, Basel, Switzerland , DOI: 10.3390/cryptography2040038.
  • Kang, J., Adibi, S., (2017), Bushfire disaster monitoring system using low power wide area networks (LPWAN). Technologies, 5(4), article no.65, Basel, Switzerland, DOI: 10.3390/technologies5040065.
  • Kang, J., Larkin, H., (2017), Application of an emergency alarm system for physiological sensors utilizing smart devices. Technologies, 5(2), Article no.26, Basel, Switzerland, DOI: 10.3390/technologies5020026.
  • Kang, J., Larkin, H., (2017), Intelligent personal health devices converged with internet of things networks. Journal of Mobile Multimedia, 12(3&4), 197-212, Denmark.
  • Kang, J., Larkin, H., (2016), Inference of personal sensors in the internet of things. The International Journal of Information, Communication Technology and Applications (IJICTA), 2(1), 1-23, DOI: 10.17972/ijicta20162125.
  • Kang, J., Luan, T., Larkin, H., (2016), Data processing of physiological sensor data and alarm determination utilising activity recognition. International journal of information, communication technology and applications, 2(1), 108-131, DOI: 10.17972/ijicta20162132.

Conference Publications

  • Kang, J., Venkatraman, S., (2018), An Integrated mHealth and Vehicular Sensor Based Alarm System: emergency alarm notification system for long distance drivers using smart devices and cloud networks. ITNAC 2018 : Proceedings of the 2018 28th International Telecommunication Networks and Applications Conference , Article no. 8615441, Piscataway, N.J. , Institute of Electrical and Electronics Engineers , DOI: 10.1109/ATNAC.2018.8615441.
  • Kang, J., (2018), Prediction of Personalised Life Expectancy using Personal Health Devices in mHealth Networks.  ITNAC 2018 : Proceedings of the 2018 28th International Telecommunication Networks and Applications Conference, 5 pages, Piscataway, N.J. , Institute of Electrical and Electronics Engineers , DOI: 10.1109/ATNAC.2018.8615428.
  • Kang, J., Khodasevych, I., Adibi, S., (2017), A disaster recovery system for location identification-based low power wide area networks (LPWAN). ITNAC 2017 : Proceedings of the 27th International Telecommunication Networks and Applications Conference, 1-6, Piscataway, N.J., IEEE, DOI: 10.1109/ATNAC.2017.8215359.
  • Kang, J., (2017), User Feedback System for Emergency Alarms in Mobile Health Networks. ICACS 2017 : Proceedings of the International Conference on Algorithms, Computing and Systems, 55-59, New York, N.Y, ACM, DOI: 10.1145/3127942.3127964.
  • Kang, J., Luan, T., Larkin, H., (2016), Enhancement of sensor data transmission by inference and efficient data processing. Applications and Techniques in Information Security, 81-92, Singapore, Springer, DOI: 10.1007/978-981-10-2741-3_7.
  • Kang, J., Luan, T., Larkin, H., (2016), Inference system of body sensors for health and internet of things networks. Proceedings of the 14th International Conference on Advances in Mobile Computing and Multi Media, 94-98, New York, N.Y., Association for Computing Machinery, DOI: 10.1145/3007120.3007145.
  • Kang, J., Luan, T., Larkin, H., (2016), Alarm notification of body sensors utilising activity recognition and smart device application. MoMM 2016: Proceedings of the 14th International Conference on Advances in Mobile Computing and Multimedi, 105-109, New York, N.Y., Association for Computing Machinery, DOI: 10.1145/3007120.3007153.
  • Kang, J., Adibi, S., (2015), A review of security protocols in mHealth Wireless Body Area Networks (WBAN). Future Network Systems and Security Proceedings, 61-83, Cham, Switzerland, Springer, DOI: 10.1007/978-3-319-19210-9_5.
  • Kang, J., Adibi, S., Larkin, H., Luan, T., (2015), Predictive data mining for converged internet of things: a mobile health perspective. 2015 International Telecommunication Networks and Applications Conference (ITNAC), 5 - 10, Piscataway, NJ, IEEE, DOI: 10.1109/ATNAC.2015.7366781.
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