Anju Johnson

Senior Lecturer in Electronic Engineering and Embedded Systems, Department of Engineering and Technology
School of Computing and Engineering
Centre for Planning, Autonomy and Representation of Knowledge

Phone01484 471031
EmailA.Johnson@hud.ac.uk
Websitehttps://research.hud.ac.uk

University of Huddersfield Queensgate Huddersfield HD1 3DH
United Kingdom

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1 Similar Profiles

Field programmable gate arrays (FPGA) Engineering & Materials Science

Neurons Engineering & Materials Science

Hardware Engineering & Materials Science

Neural networks Engineering & Materials Science

Repair Engineering & Materials Science

Plasticity Engineering & Materials Science

Fault tolerance Engineering & Materials Science

Authentication Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2014 2019

15 Conference contribution
6 Article

A Multi-layer Security Model for 5G-enabled Industrial Internet of Things

Al-Aqrabi, H., Pulikkakudi Johnson, A., Hill, G., Lane, P. & Liu, L., 17 Aug 2019, (Accepted/In press) 7th International Conference on Smart City and Informatization (iSCI 2019), Guangzhou, China, November 12-15, 2019. Springer International Publishing AG, (Lecture Notes in Computer Science).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Hardware

Cloud computing

Authentication

Field programmable gate arrays (FPGA)

Throughput

Autonomous Learning Paradigm for Spiking Neural Networks

Liu, J., McDaid, L. J., Harkin, J., Karim, S., Johnson, A. P., Halliday, D. M., Tyrrell, A. M., Timmis, J., Millard, A. G. & Hilder, J., 9 Sep 2019, Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation - 28th International Conference on Artificial Neural Networks, 2019, Proceedings. Tetko, I. V., Karpov, P., Theis, F. & Kurková, V. (eds.). Springer Verlag, p. 737-744 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11727 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Spiking Neural Networks

Plasticity

Paradigm

Collision avoidance

Neural networks

Bio-inspired Anomaly Detection for Low-cost Gas Sensors

Liu, J., Harkin, J., McDaid, L., Karim, S., Millard, A. G., Hilder, J., Hickinbotham, S., Johnson, A. P., Timmis, J., Halliday, D. M. & Tyrrel, A. M., 28 Jan 2019, 18th International Conference on Nanotechnology, NANO 2018. IEEE Computer Society, Vol. 2018-July. 8626301

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Chemical sensors

anomalies

sensors

Sensors

gases

Dynamic Multiparty Authentication using Cryptographic Hardware for the Internet of Things

Al-Aqrabi, H., Johnson, A. & Hill, R., 29 May 2019, (Accepted/In press) IEEE Smartworld Congress 2019. IEEE Computer Society, 8 p.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Authentication

Hardware

Network protocols

Cloud computing

Access control

4 Citations (Scopus)

Exploring Self-Repair in a Coupled Spiking Astrocyte Neural Network

Liu, J., McDaid, L., Harkin, J., Karim, S., Johnson, A., Millard, A., Hilder, J., Halliday, D., Tyrrell, A. & Timmis, J., 1 Mar 2019, In : IEEE Transactions on Neural Networks and Learning Systems. 30, 3, p. 865-875 11 p., 8423789.

Research output: Contribution to journal › Article

Repair

Neural networks

Neurons

Plasticity

Astrocytes