Staff profile

Dr John Panneerselvam

Lecturer in Computing




College of Science and Engineering


School of Computing and Engineering

Research centre

Data Science Research Centre, University Professorial Council


Markeaton Street, Derby Campus



I am a lecturer in Computing within the Department of Electronics, Computing and Mathematics at the University of Derby. I received my PhD degree in the discipline of Computing and I have an MSc in Advanced Computer Networks from the University of Derby.

I am an active researcher and have collaborated with several research groups across the globe, Jiangsu University, Tongji University and Anhui University of China, Sathyabama Institute of Science and Technology, India, to name a few. I have generated various forms of research outputs in the fields of Cloud Computing, Peer-to-Peer Computing, Internet of Things, Big Data Analytics, Wireless Sensor Networks, Network Security and Opportunistic Networking.

Research Profiles

PhD Students

Teaching responsibilities

Programme Leader


Research interests

Membership of professional bodies






International experience

International Research Visits

Erasmus Visit

Additional interests and activities

Recent publications


  1. J. Panneerselvam, L. Liu and N. Antonopoulos, An Approach to Optimise Resource Provision with Energy-awareness in Datacentres by Combating Task Heterogeneity, IEEE Transactions on Emerging Topics in Computing, 2018, doi: 10.1109/TETC.2018.2794328 (Impact Factor: 4.989, Q1)
  2. B. Yuan, J. Panneerselvam, L. Liu, N. Antonopoulos, An Inductive Content-Augmented Network Embedding Model for Edge Artificial Intelligence, IEEE Transactions on Industrial Informatics, 2019. (Impact Factor: 7.377, Q1)
  3. Y. Lu, L. Liu, J. Panneerselvam, B. Yuan, J. Gu and N. Antonopoulos, A GRU-Based Prediction Framework for Intelligent Resource Management at Cloud Data Centres in the Age of 5G, IEEE Transactions on Cognitive Communications and Networking, inpress, 2019.
  4. Y. Lu, L. Liu, J. Panneerselvam, X. Zhai, X. Sun, N. Antonnopoulos, A Latency-based Analytic Approach to Forecast Cloud Workload Trend for Sustainable Datacentres, IEEE Transactions on Sustainable Computing, 2019. (Impact Factor: 2.45, Q1)
  5. U. Tariq, H. Ali, L. Liu, J. Panneerselvam and X. Zhai, Energy-efficient Static Scheduler on VFI based NoC-HMPSoCs for Intelligent Edge Devices in Cyber-Physical Systems, ACM Transactions on Intelligent Systems and Technology, 2019. (Impact Factor: 2.86, Q1)
  6. D. Miao, L. Liu, R. Xu, J. Panneerselvam, Y. Wu, W. Xu, An Efficient Indexing Model for the Fog Layer of Industrial Internet of Things, IEEE Transactions on Industrial Informatics, vol 14(10), pp. 4487-4496, January 2018. doi: 10.1109/TII.2018.2799598 (Impact Factor: 7.377, Q1)
  7. L. Shi, L. Liu, Y. Wu, L. Jiang, M. Kazim, H. Ali and J. Panneerselvam, Human-centric Cyber Social Computing Model for Hot Event Detection and Propagation, IEEE Transactions on Computational Social Systems, 2019.
  8. J. Panneerselvam, L. Liu, Y. Lu and N. Antonopoulos, An Investigation into the Impacts of Task-level Behavioural Heterogeneity upon Energy Efficiency in Cloud Datacentres, Future Generation Computer Systems, vol. 83, pp. 239-249, June 2018, doi: (Impact Factor: 5.670, Q1)
  9. J. Panneerselvam, L. Liu and N. Antonopoulos, InOt-RePCoN: Forecasting User Behavioural trend in Large-Scale Cloud Environments, Future Generation Computer Systems, vol 80, pp. 322-341, March 2018. doi: (Impact Factor: 5.670, Q1)
  10. X. Bai, Z. Zhang, L Liu, Z. Zhai, J. Panneerselvam, L. Ge, Enhancing Localization of Mobile Robots in Distributed Sensor Environments for Reliable Proximity Service Applications, IEEE Access, PP(99):1-1, February 2019. (Impact Factor: 4.098, Q1)
  11. X. Shen, Q. Chang, L. Liu, J. Panneerselvam, and Zheng-Jun Zha, CCLBR: Congestion Control-Based Load Balanced Routing in Unstructured P2P Systems, IEEE Systems Journal, 12(1), 2018, pp 802 - 813. DOI: 10.1109/JSYST.2016.2558515. (Impact Factor: 4.463, Q1)
  12. J. Chen, T. Li, J. Panneerselvam, TMEC: A Trust Management Based on Evidence Combination on Attack-Resistant and Collaborative Internet of Vehicles, in press, IEEE Access Journal, in press, 2018. DOI: 10.1109/ACCESS.2018.2876153 2725898 (Impact Factor: 4.098, Q1)
  13. M. Wang, L. Shi, L. Liu, M. Ahmed, J. Panneerselvam, Hybrid Recommendation based QoS Prediction for Sensor Services, International Journal of Distributed Sensor Networks, 14 (5), 2018, pp 1-10. DOI: 10.1177/1550147718774012 (Impact Factor: 1.614)
  14. J. Panneerselvam, L. Liu, N. Antonopoulos and J. Hardy, Analysis, Modelling and Characterisation of Zombie Servers in Large-Scale Cloud Datacentres, IEEE Access Journal, vol 5, pp. 15040-15054, July 2017. doi: 10.1109/ACCESS.2017.2725898 (Impact Factor: 4.098, Q1)
  15. X. Bai, L. Liu, M. Cao, J. Panneerselvam, Q. Sun, H. Wang, Collaborative Actuation of Wireless Sensor and Actuator Networks for the Agriculture Industry, IEEE Access, Vol 5, 2017, pp 13286 - 13296. DOI: 10.1109/ACCESS.2017.2725342 (Impact Factor: 4.098, Q1)
  16. J. Panneerselvam, J. Hardy, L. Liu, N. Antonopoulos, B. Yuan, Mobilouds: An Energy Efficient MCC Collaborative Framework with Extended Mobile Participation for Next Generation Networks, IEEE Access Journal, vol 4, pp. 9129 – 9144, September 2016. doi: 10.1109/ACCESS.2016.2602321 (Impact Factor: 4.098, Q1)
  17. Y. Lu, J. Panneerselvam, L. Liu, Y. Wu, RVLBPNN: A Workload Forecasting Model for Smart Cloud Computing, Journal of Scientific Programming, September 2016. doi: (Impact Factor: 1.289)
  18. J. Li, J. Zhao, Y. Li, L. Cui, B. Li, L. Liu, J. Panneerselvam, iMIG: Towards an Adaptive Live Migration Method for KVM Virtual Machines, The Computer Journal, Oxford University Press, Vol 58(6), 2015, pp 1227-1242. DOI: 10.1093/comjnl/bxu065 (Impact Factor: 0.787)
  19. X. Shen, L. Liu, P. Gu, Z. Jiang, J. Chen, J. Panneerselvam, Achieving Dynamic Load Balancing through Mobile Agents in Small World P2P Networks, Computer Networks, Elsevier, Vol 75, pp. 134-148, 2014. DOI: 10.1016/j.comnet.2014.05.003 (Impact Factor: 3.030)
  20. J. Panneerselvam, A. Atojoko, K. Smith, L. Liu, N. Antonopoulos, A Critical Review of the Routing Protocols in Opportunistic Networks, Industrial Networks and Intelligent Systems, Vol 14(1), December 2014. DOI: 10.4108/inis.1.1.e6

Book Chapters

  1. J. Panneerselvam, L. Liu and Yao Lu, Datacentre Event Analysis for Knowledge Discovery in Large-Scale Cloud Environments, Cloud Computing, Computer Communications and Networks, 2017. doi: 10.1007/978-3-319-54645-2_14
  2. J. Panneerselvam, L. Liu, R. Hill, An Introduction to Big Data, Application of Big Data for National Security, Butterworth-Heinemann, pp 113-139. ISBN: 9780128019672, February 2015.
  3. J. Panneerselvam, L. Liu, R. Hill, Requirements and Challenges for Big Data Architectures, Application of Big Data for National Security, Butterworth-Heinemann, pp 113-139. ISBN: 9780128019672, February 2015.
  4. T. Holding, J. Panneerselvam, L. Liu, Migrating to Public Cloud: From a Security Perspective, Guide to Security Assurance for Cloud Computing, Springer, pp. 31-50, March 2016.

Conference Papers

  1. O. Alofe, K. Fatema, J. Panneerselvam and F. Kurugollu, IoT Based Safety Solution for Victims Attacked in Moving Vehicle, 2nd IEEE Middle East and North Africa COMMunications Conference (MENACOM), inpress, November 2019, IEEE Press.
  2. M. Shahzad, J. Panneerselvam, L. Liu and X. Zhai, Data Aggregation Challenges in Fog Computing, Proceedings of the 5th IEEE Smart World Congress, August 2019, in press, IEEE Press.
  3. H. Ali, U. Tariq, L. Liu, J. Panneerselvam, X. Zhai, Energy Optimization of Streaming Applications in IoT on NoC based Heterogeneous MPSoCs using Re-timing and DVFS, The 16th IEEE International Conference on Advanced and Trusted Computing, Leicester, 2019, in press. IEEE Press.
  4. H. Wang, J. Panneerselvam, L. Liu, Y. Lu, Xiaojun Zhai, Haider Ali, Cloud Workload Analytics for Real-Time Prediction of User Request Patterns, Proceeding of 4th IEEE International Conference on Data Science and Systems, Exeter UK, 28-30 June 2018, in press. IEEE Press. (Best Paper Award)
  5. J. Panneerselvam, L. Liu and N. Antonopoulos, Characterisation of Hidden Periodicity in Large Scale Datacentre Environments, IEEE Int. Conf. Green Computing and Communications, Exeter, June 2017. IEEE Press. pp 496-503, DOI: 10.1109/iThings-GreenCom-CPSCom-SmartData.2017.79
  6. R. Xu, D. Miao, L. Liu and J. Panneerselvam, An Optimal Travel Route Plan for Yangzhou Based on the Improved Floyd Algorithm, Proceedings of 10th IEEE International Conference on Cyber, Physical and Social Computing, 2017. pp 168 – 177. IEEE Press DOI: 10.1109/iThings-GreenCom-CPSCom-SmartData.2017.30
  7. Y. Fan, J. Panneerselvam and L. Liu, The Cost Function and Improvement Strategies of Service Quality of University Library under New Information Environments, Proceedings of 10th IEEE International Conference on Cyber, Physical and Social Computing, 2017. pp 208-215. IEEE Press DOI: 10.1109/iThings-GreenCom-CPSCom-SmartData.2017.36.
  8. X. Bai, M. Cao, L. Liu, J. Panneerselvam, Qiao Sun, Efficient Estimation and Control of WSANs for the Greenhouse Environment, Proceedings of 9th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2016), Shanghai, China, Decemer 2016, pp. 369 – 374. IEEE Press. DOI: 10.1145/2996890.3007853
  9. J. Panneerselvam, L. Liu, N. Antonopoulos, M. Trovati, Latency-Aware Empirical Analysis of the Workloads for Reducing Excess Energy Consumptions at Cloud Datacentres, 2016 IEEE Symposium on Service-Oriented System Engineering (SOSE), Oxford, March 2016. pp. 119 - 125. IEEE Press. DOI: 10.1109/SOSE.2016.60
  10. X. Sun, Y. Wu, L Liu, J. Panneerselvam, Efficient Event Detection in Social Media Data Streams, Proceedings of 13th IEEE International Conference on Dependable, Autonomic and Secure Computing (IEEE DASC 2015). pp 1711 – 1717. IEEE Press. DOI: 10.1109/CIT/IUCC/DASC/PICOM.2015.258
  11. K. Vilius, L. Liu, J. Panneerselvam, T. Stimpson, A Critical Analysis of the Efficiencies of Emerging Wireless Security Standards Against Network Attacks, Proceeding of International Conference on Intelligent Networking and Collaborative Systems, Taipei, 2-4 Sept. 2015. DOI: 10.1109/INCoS.2015.56
  12. F. Tao, J. Panneerselvam, T. Holding, L. Liu, A Cloud-based Sustainable Business Model for Effective ICT Provision in Higher Education, 7TH IEEE Int. Sym. Service Oriented System Engineering, San Francisco, pp. 222-228, March 2015. IEEE Press. DOI: 10.1109/SOSE.2015.9
  13. J. Panneerselvam, L. Liu, N. Antonopoulos, Y. Bo, Workload Analysis for the Scope of User Demand Prediction Model Evaluation in Cloud Environments, Proc of IEEE/ACM Int. Conf. Utility and Cloud Computing, pp 883-889, December 2014. IEEE Press. DOI: 10.1109/UCC.2014.144
  14. F. Hou, X. Mao, W. Wu, L. Liu and J. Panneerselvam, A Cloud-Oriented Services Self-Management Approach Based on Multi-Agent System Technique, Proceeding of 7th IEEE International Conference on Utility and Cloud Computing (UCC 2014), London, December 2014, pp. 261-268. IEEE Press. DOI: 10.1109/UCC.2014.35
  15. R. Xu, L. Liu, J. Panneerselvam, User Experience Evaluation of Chinese Travel App Software, Proceedings of The 14th IEEE International Conference on Computer and Information Technology (CIT 2014), Xi’an, China, September 2014, pp. 610-615. IEEE Press. DOI: 10.1109/CIT.2014.109
  16. H. Al Jabry, L. Liu, Y. Zhu, J. Panneerselvam, A Critical Evaluation of the Performance of Virtualization Technologies, Proceedings of CHINACOM, Maoming, China, August 2014, pp. 606-611. IEEE Press. DOI: 10.1109/CHINACOM.2014.7054367
  17. J. Panneerselvam, L. Liu, R. Hill, Y. Zhan, W. Liu, An Investigation of the Effect of Cloud Computing on Network Management, Proceedings of 9th IEEE International Conference on Embedded Software and Systems (ICESS), Liverpool, UK, June 2012. pp. 1794-1799. IEEE Press. DOI: 10.1109/HPCC.2012.270
  18. J. Panneerselvam, S. Sotiriadis, N. Bessis and N. Antonopoulos, Securing authentication and trusted migration of weblets in the cloud with reduced traffic, IEEE 3rd International Conference on Emerging Intellifgent Data and Web Technologies, September 2012, pp. 316- 319, IEEE Press, DOI: 10.1109/EIDWT.2012.20