Publications of Jiong Jin (J. Jin). Further details could be found at Jiong's Google Scholar and Research Gate.

Journal Papers:

[J53] T. Zhang, Z. Shen, J. Jin, X. Zheng, A. Tagami, and X. Cao, “Achieving democracy in edge intelligence: A fog-based collaborative learning scheme,” IEEE Internet of Things Journal, accepted on 20 August 2020, to appear.

[J52] G. Chen, X. Cao, and J. Jin, “Joint scheduling and channel allocation for Kalman filtering over multihop WirelessHART networks,” IEEE Transactions on Industrial Informatics, accepted on 26 March 2020, to appear.

[J51] J. Li, J. Jin, L. Lyu, D. Yuan, Y. Yang, L. Gao, and C. Shen, “A fast and scalable authentication scheme in IoT for smart living,” Future Generation Computer Systems, vol. 117, pp. 125-137, April 2021.

[J50] Z. Shen, T. Zhang, A. Tagami, and J. Jin, “When RSSI encounters deep learning: An area localization scheme for pervasive sensing systems,” Journal of Network and Computer Applications, vol. 173, Article number: 102852, 13 pages, January 2021.

[J49] J. Lu, X. Zheng, M. Q. Sheng, J. Jin, and S. Yu, “Efficient human activity recognition using a single wearable sensor,” IEEE Internet of Things Journal, vol. 7, no. 11, pp. 11137-11146, November 2020.

[J48] Y. Xia, L. Wu, Z. Wang, X. Zheng, and J. Jin, “Cluster-enabled cooperative scheduling based on reinforcement learning for high-mobility vehicular networks,” IEEE Transactions on Vehicular Technology, vol. 69, no. 11, pp. 12664-12678, November 2020.

[J47] L. Lyu, J. Yu, K. Nandakumar, Y. Li, X. Ma, J. Jin, H. Yu, and K. S. Ng, “Towards fair and privacy-preserving federated deep models,” IEEE Transactions on Parallel and Distributed Systems, vol. 31, no. 11, pp. 2524-2541, November 2020.

[J46] B. Gu, L. Gao, X. Wang, Y. Qu, J. Jin, and S. Yu, “Privacy on the edge: customizable privacy-preserving context sharing in hierarchical edge computing,” IEEE Transactions on Network Science and Engineering, vol. 7, no. 4, pp. 2298-2309, October-December 2020.

[J45] P. Tang, Y. Dong, J. Jin, and S. Mao, “Fine-grained classification of Internet video traffic from QoS perspective using fractal spectrum,” IEEE Transactions on Multimedia, vol. 22, no. 10, pp. 2579-2596, October 2020.

[J44] L. Lyu, J. C. Bezdek, J. Jin, and Y. Yang, “FORESEEN: Towards differentially private deep inference for intelligent Internet of Things,” IEEE Journal on Selected Areas in Communications, vol. 38, no. 10, pp. 2418-2429, October 2020.

[J43] S. Kumar, D. S. Vineeth, A. Franklin, and J. Jin, “RAN-aware adaptive video caching in multi-access edge computing networks,” Journal of Network and Computer Applications, vol. 168, Article number: 102737, October 2020.

[J42] S. Thudumu, P. Branch, J. Jin, and J. Singh, “A comprehensive survey of anomaly detection techniques for high dimensional big data,” Journal of Big Data, vol. 7, Article number: 42, 30 pages, July 2020.

[J41] Z. Wu, Y. Dong, W. Tian, and J. Jin, “Enhanced rough K-means based flow aggregation for QoS mapping in heterogeneous network environments,” IEEE Transactions on Network and Service Management, vol. 17, no. 2, pp. 1197-1210, June 2020.

[J40] S. Deep, X. Zheng, C. Karmakar, D. Yu, L. Hamey, and J. Jin, “A survey on anomalous behavior detection for elderly care using dense-sensing networks,” IEEE Communications Surveys & Tutorials, vol. 22, no. 1, pp. 352-370, First Quarter 2020.

[J39] T. Zhang, J. Jin, X. Zheng, and Y. Yang, “Rate adaptive fog service platform for heterogeneous IoT applications,” IEEE Internet of Things Journal, vol. 7, no. 1, pp. 176-188, January 2020.

[J38] Q. Zheng, J. Jin, T. Zhang, J. Li, L. Gao, and Y. Xiang, “Energy-sustainable fog system for mobile web services in infrastructure-less environments,” IEEE Access, vol. 7, pp. 161318-161328, November 2019.

[J37] A. Rahman, J. Jin, A. Rahman, A. Cricenti, M. Afrin, and Y. Dong, “Energy-efficient optimal task offloading in cloud networked multi-robot systems,” Computer Networks, vol. 160, pp. 11-32, September 2019.

[J36] M. Afrin, J. Jin, A. Rahman, Y.-C. Tian, and A. Kulkarni, “Multi-objective resource allocation for edge cloud based robotic workflow in smart factory,” Future Generation Computer Systems, vol. 97, pp. 119-130, August 2019.

[J35] J. Jiang, L. Gao, J. Jin, T. H. Luan, S. Yu, Y. Xiang, and S. Garg, “Sustainability analysis for fog nodes with renewable energy supplies,” IEEE Internet of Things Journal, vol. 6, no. 4, pp. 6725-6735, August 2019.

[J34] L. Lyu, J. C. Bezdek, X. He, and J. Jin, “Fog-embedded deep learning for the Internet of Things,” IEEE Transactions on Industrial Informatics, vol. 15, no. 7, pp. 4206-4215, July 2019.

[J33] S. R. Pokhrel, J. Jin, and H. L. Vu, “Mobility-aware multipath communication for unmanned aerial surveillance systems,” IEEE Transactions on Vehicular Technology, vol. 68, no. 6, pp. 6088-6098, June 2019.

[J32] A. Rahman, J. Jin, A. Rahman, A. Cricenti, and A. Kulkarni, “Communication-aware cloud robotic task offloading with on-demand mobility for smart factory maintenance,” IEEE Transactions on Industrial Informatics, vol. 15, no. 5, pp. 2500-2511, May 2019.

[J31] X. Zhou, X. Cai, Y. Bu, X. Zheng, J. Jin, T. H. Luan, and C. Li, “When road information meets data mining: precision detection for heading and width of roads,” IEEE Access, vol. 7, pp. 60399-60410, May 2019.

[J30] Z. Shen, T. Zhang, J. Jin, K. Yokota, A. Tagami, and T. Higashino, “ICCF: An information-centric collaborative fog platform for building energy management systems,” IEEE Access, vol. 7, pp. 40402-40415, April 2019.

[J29] A. S. Sani, D. Yuan, J. Jin, L. Gao, S. Yu, and Z.-Y. Dong, “Cyber security framework for Internet of Things-based Energy Internet,” Future Generation Computer Systems, vol. 93, pp. 849-859, April 2019.

[J28] B. V. Philip, T. Alpcan, J. Jin, and M. Palaniswami, “Distributed real-time IoT for autonomous vehicles,” IEEE Transactions on Industrial Informatics, vol. 15, no. 2, pp. 1131-1140, February 2019.

[J27] L. Lyu, K. Nandakumar, B. Rubinstein, J. Jin, J. Bedo, and M. Palaniswami, “PPFA: Privacy preserving fog-enabled aggregation in smart grid,” IEEE Transactions on Industrial Informatics, vol. 14, no. 8, pp. 3733-3744, August 2018.

[J26] B. Ning, J. Jin, J. Zheng, and Z. Man “Finite-time and fixed-time leader-following consensus for multi-agent systems with discontinuous inherent dynamics,” International Journal of Control, vol. 91, no. 6, pp. 1259-1270, June 2018.

[J25] T. Yu, X. Wang, J. Jin, and K. McIsaac, “Cloud-orchestrated physical topology discovery of large-scale IoT systems using UAVs,” IEEE Transactions on Industrial Informatics, vol. 14, no. 5, pp. 2261-2270, May 2018.

[J24] B. Ning, Q.-L. Han, Z. Zuo, J. Jin, and J. Zheng, “Collective behaviours of mobile robots beyond the nearest neighbour rules with switching topology,” IEEE Transactions on Cybernetics, vol. 48, no. 5, pp. 1577-1590, May 2018.

[J23] B. Ning, Z. Zuo, J. Jin, and J. Zheng, “Distributed fixed-time coordinated tracking for nonlinear multi-agent systems under directed graphs,” Asian Journal of Control, vol. 20, no. 2, pp. 646-658, March 2018.

[J22] J. Li, J. Jin, D. Yuan, and H. Zhang, “Virtual Fog: A virtualization enabled fog computing framework for IoT,” IEEE Internet of Things Journal, vol. 5, no. 1, pp. 121-131, February 2018.

[J21] L. Lyu, J. Jin, S. Rajasegarar, X. He, and M. Palaniswami, “Fog-empowered anomaly detection in Internet of Things using hyperellipsoidal clustering,” IEEE Internet of Things Journal, vol. 4, no. 5, pp. 1174-1184, October 2017.

[J20] B. Ning, J. Jin, B. Krishnamachari, J. Zheng, and Z. Man, “Two-stage deployment strategy for wireless robotic networks via a class of interaction models,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 47, no. 7, pp. 1510-1521, July 2017.

[J19] Y. Dong, J. Zhao, and J. Jin, “Novel feature selection and classification of Internet video traffic based on a hierarchical scheme,” Computer Networks, vol. 119, pp. 102-111, June 2017.

[J18] B. Ning, J. Jin, and J. Zheng, “Fixed-time consensus for multi-agent systems with discontinuous inherent dynamics over switching topology,” International Journal of Systems Science, vol. 48, no. 10, pp. 2023-2032, May 2017.

[J17] J. Jin, M. Palaniswami, D. Yuan, Y. Dong, and K. Moessner, “Priority service provisioning and max-min fairness: a utility-based flow control approach,” Journal of Network and Systems Management, vol. 25, no. 2, pp. 397-415, April 2017.

[J16] H. Ko, J. Jin, and S. L. Keoh, “Secure service virtualization in IoT by dynamic service dependency verification,” IEEE Internet of Things Journal, vol. 3, no. 6, pp. 1006-1014, December 2016.

[J15] A. Rahman, J. Jin, A. Cricenti, A. Rahman, M. Palaniswami, and T. Luo, “Cloud-enhanced robotic system for smart city crowd control,” Journal of Sensor and Actuator Networks, vol. 5, no. 4, 26 pages, December 2016.

[J14] M. T. Do, J. Jin, H. Wang, and Z. Man, “Sliding mode learning based congestion control for DiffServ networks,” IET Control Theory & Applications, vol. 10, no. 11, pp. 1281-1287, July 2016.

[J13] M. T. Do, Z. Man, J. Jin, C. Zhang, J. Zheng, and H. Wang, “Sliding mode learning control of non-minimum phase nonlinear systems,” International Journal of Robust and Nonlinear Control, vol. 26, no. 11, pp. 2281-2298, July 2016.

[J12] X. Chen, W. Shen, M. Dai, Z. Cao, J. Jin, and A. Kapoor, “Robust adaptive sliding mode observer using RBF neural network for lithium-ion battery state of charge estimation in electrical vehicles,” IEEE Transactions on Vehicular Technology, vol. 65, no. 4, pp. 1936-1947, April 2016.

[J11] J. Zheng, H. Wang, Z. Man, J. Jin, and M. Fu, “Robust motion control of a linear motor positioner using fast nonsingular terminal sliding mode,” IEEE/ASME Transactions on Mechatronics, vol. 20, no. 4, pp. 1743-1752, August 2015.

[J10] H. Wang, Z. Man, W. Shen, Z. Cao, J. Zheng, J. Jin, and M. T. Do, “Robust control for steer-by-wire systems with partially known dynamics,” IEEE Transactions on Industrial Informatics, vol. 10, no. 4, pp. 2003-2015, November 2014.

[J9] M. T. Do, Z. Man, C. Zhang, J. Jin, and H. Wang, “Robust sliding mode learning control for uncertain discrete-time MIMO systems,” IET Control Theory & Applications, vol. 8, no. 12, pp. 1045-1053, August 2014.

[J8] A. Tjiam, J. Jin, Z. Man, and Z. Cao, “System dynamics analysis of adaptive modulation problem for Rayleigh flat-fading channel,” IEEE Wireless Communications Letters, vol. 3, no. 3, pp. 325-328, June 2014.

[J7] J. Jin, J. Gubbi, S. Marusic, and M. Palaniswami, “An information framework of creating a smart city through Internet of Things,” IEEE Internet of Things Journal, vol. 1, no. 2, pp. 112-121, April 2014.

[J6] J. Jin, M. Palaniswami, and B. Krishnamachari, “Rate control for heterogeneous wireless sensor networks: characterization, algorithms and performance,” Computer Networks, vol. 56, no. 17, pp. 3783-3794, November 2012.

[J5] Y. Jin, J. Jin, A. Gluhak, K. Moessner, and M. Palaniswami, “An intelligent task allocation scheme for multihop wireless networks,” IEEE Transactions on Parallel and Distributed Systems, vol. 23, no. 3, pp. 444-451, March 2012.

[J4] Y. W. Law, Y. Zhang, J. Jin, M. Palaniswami, and P. Havinga, “Secure rateless deluge: pollution-resistant reprogramming and data dissemination for wireless sensor networks,” EURASIP Journal on Wireless Communications and Networking, vol. 2011, article ID 685219, 22 pages, 2011.

[J3] J. Jin, A. Sridharan, B. Krishnamachari, and M. Palaniswami, “Handling inelastic traffic in wireless sensor networks,” IEEE Journal on Selected Areas in Communications, vol. 28, no. 7, pp. 1105-1115, September 2010.

[J2] J. Jin, W. H. Wang, and M. Palaniswami, “Utility max-min fair resource allocation for communication networks with multipath routing,” Computer Communications, vol. 32, no. 17, pp. 1802-1809, November 2009.

[J1] J. Jin, W. H. Wang, and M. Palaniswami, “A simple framework of utility max-min flow control using sliding mode approach,” IEEE Communications Letters, vol. 13, no. 5, pp. 360-362, May 2009.

Book Chapters:

[B6] P. Ghosh, A. Gasparri, J. Jin, and B. Krishnamachari, “Robotic wireless sensor networks,” Mission-Oriented Sensor Networks and Systems: Art and Science, vol. 2: Advances, Springer, pp. 545-595, 2019. (Invited Chapter)

[B5] J. Li, J. Jin, D. Yuan, M. Palaniswami, and K. Moessner, “A data-centered fog platform for smart living,” From Internet of Things to Smart Cities: Enabling Technologies, CRC Press, Taylor & Francis Group, pp. 357-377, 2018.

[B4] H. Ko, S. L. Keoh, and J. Jin, “Privacy protection for cloud-based robotic networks,” Security and Privacy in Cyber-Physical Systems: Foundations and Applications, Wiley, pp. 195-222, 2017.

[B3] L. Liu, X. Li, J. Jin, Z. Huang, M. Liu, and M. Palaniswami, “Graph-based routing, broadcasting and organizing algorithms for ad-hoc networks,” Wireless Ad-Hoc Networks, Intech, pp. 55-73, 2012.

[B2] Z. Man, S. Khoo, X. Yu, C. Miao, J. Jin, and F. Tay, “A new design of sliding mode control systems,” Sliding Modes after the first Decade of the 21st Century, Springer, pp. 151-167, 2011.

[B1] Y. Zhang, W. T. Ang, J. Jin, S. Zhang, and Z. Man, “Nonlinear adaptive sliding mode control for a rotary inverted pendulum,” Advances in Industrial Engineering and Operations Research, Springer, vol. 5, pp. 345-360, 2008.

Conference Papers:

[C55] Y. Xia, L. Wu, J. Jin, T. Zhang, and X. Zheng, “Privacy-aware key task scheduling in vehicular networks based on incentive mechanism,” in Proceedings of the 22nd IEEE International Conference on High Performance Computing and Communications (HPCC 2020), Fiji, December 2020.

[C54] B. Gu, X. Wang, Y. Qu, J. Jin, Y. Xiang, and L. Gao, “Location-aware privacy preserving scheme in SDN-enabled fog computing,” in Proceedings of the International Conference on Security and Privacy in Digital Economy (SPDE 2020), Quzhou, China, October 2020.

[C53] H. Qin and J. Jin, “Intelligent maintenance of shield tunelling machine based on knowledge graph,” in Proceedings of the 18th IEEE International Conference on Industrial Informatics (INDIN 2020), Coventry, UK, July 2020.

[C52] M. Rana, A. Rahman, and J. Jin, “A data-driven approach for forecasting state level aggregated solar photovoltaic power production,” in Proceedings of the 2020 International Joint Conference on Neural Networks (IJCNN 2020), Glasgow, UK, July 2020.

[C51] C. Zhang, F. Shen, J. Jin, and Y. Yang, “Fog network task scheduling for IoT applications,” in Proceedings of the 2nd Workshop on Fog Computing and the IoT (Fog-IoT 2020) within CPS-IoT Week’20, Sydney, Australia, April 2020.

[C50] Q. Zheng, J. Jin, T. Zhang, L. Gao, and Y. Xiang, “Realizing video analytic service in the fog-based infrastructure-less environments,” in Proceedings of the 2nd Workshop on Fog Computing and the IoT (Fog-IoT 2020) within CPS-IoT Week’20, Sydney, Australia, April 2020.

[C49] T. Zhang, Z. Shen, J. Jin, and X. Zheng, “A democratically collaborative learning scheme for fog-enabled pervasive environments,” in Proceedings of the 18th Annual IEEE International Conference on Pervasive Computing and Communications (PerCom 2020), Austin, Texas, USA, March 2020.

[C48] S. Thudumu, P. Branch, J. Jin, and J. Singh, “Estimation of locally relevant subspace in high-dimensional data,” in Proceedings of the 18th Australasian Symposium on Parallel and Distributed Computing (AusPDC 2020), Melbourne, Australia, February 2020.

[C47] S. Thudumu, P. Branch, J. Jin, and J. Singh, “Adaptive clustering for outlier identification in high-dimensional data,” in Proceedings of the 19th International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP 2019), Melbourne, Australia, December 2019.

[C46] H. Qin, J. Jin, Y. Zhang, and S. Hu, “Intelligent design based on knowledge capture and reuse,” in Proceedings of the 2nd International Conference on Progress in Mechanical and Aerospace Engineering (PMAE 2019), Melbourne, Australia, December 2019.

[C45] T. Zhang, Z. Shen, J. Jin, A. Tagami, X. Zheng, and Y. Yang, “ESDA: An energy-saving data analytics fog service platform,” in Proceedings of the 17th International Conference on Service-Oriented Computing (ICSOC 2019), Toulouse, France, October 2019.

[C44] S. Thudumu, P. Branch, J. Jin, and J. Singh, “Elicitation of candidate subspaces in high-dimensional data,” in Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications (HPCC 2019), Zhangjiajie, China, August 2019.

[C43] B. Gu, X. Wang, Y. Qu, J. Jin, Y. Xiang, and L. Gao, “Context-aware privacy preservation in a hierarchical Fog computing system,” in Proceedings of IEEE International Conference on Communications (ICC 2019), Shanghai, China, May 2019.

[C42] M. Afrin, J. Jin, and A. Rahman, “Energy-delay co-optimization of resource allocation for robotic services in cloudlet infrastructure,” in Proceedings of the 16th International Conference on Service Oriented Computing (ICSOC 2018), Hangzhou, China, November 2018.

[C41] T. Zhang, J. Jin, and Y. Yang, “RA-FSD: A rate-adaptive Fog service delivery platform,” in Proceedings of the 16th International Conference on Service Oriented Computing (ICSOC 2018), Hangzhou, China, November 2018.

[C40] Y. W. Wong, Z. Man, J. Zheng, Q.-L. Han, J. Jin, “A new approach to sliding observer design and stability for linear system,” in Proceedings of the 15th International Workshop on Variable Structure Systems and Sliding Mode Control (VSS 2018), Graz, Austria, July 2018.

[C39] Z. Shen, K. Yokota, J. Jin, A. Tagami, and T. Higashino, “In-network self-learning algorithms for BEMS through a collaborative fog platform,” in Proceedings of the 32nd IEEE International Conference on Advanced Information Networking and Applications (AINA 2018), Cracow, Poland, May 2018.

[C38] Y. W. Wong, P. Wang, Z. Man, Q.-L. Han, J. Jin, and J. Zheng, “On supervised learning of sliding observer,” in Proceedings of Asian Control Conference (ASCC 2017), Gold Coast, Australia, December 2017.

[C37] B. V. Philip, T. Alpcan, J. Jin, and M. Palaniswami, “Information constrained and finite-time distributed optimisation algorithms,” in Proceedings of the 56th IEEE Conference on Decision and Control (CDC 2017), Melbourne, Australia, December 2017.

[C36] D. Nguyen, Z. Shen, J. Jin, and A. Tagami, “ICN-Fog: An information-centric Fog-to-Fog architecture for data communications,” in Proceedings of IEEE Global Communications Conference (Globecom 2017), Singapore, December 2017.

[C35] A. Rahman, J. Jin, A. Cricenti, A. Rahman, and M. Panda, “Motion and connectivity aware offloading in cloud robotics via genetic algorithm,” in Proceedings of IEEE Global Communications Conference (Globecom 2017), Singapore, December 2017.

[C34] J. Li, T. Zhang, J. Jin, Y. Yang, D. Yuan, and L. Gao, “Latency estimation for Fog-based Internet of things,” in Proceedings of International Telecommunication Networks and Applications Conference (ITNAC 2017), Melbourne, Australia, November 2017.

[C33] J. Jiang, L. Gao, J. Jin, T. H. Luan, S. Yu, D. Yuan, Y. Xiang, and D. Yuan, “Towards an analysis of traffic shaping and policing in fog networks using stochastic fluid models,” in Proceedings of the 14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (Mobiquitous 2017), Melbourne, Australia, November 2017.

[C32] J. Jiang, L. Gao, S. Yu, J. Jin, and D. Yuan, “Preferential attachment and the spreading influence of users in online social networks,” in Proceedings of IEEE/CIC International Conference on Communications in China (ICCC 2017), Qingdao, China, October 2017.

[C31] L. Lyu, Y. W. Law, J. Jin, and M. Palaniswami, “Privacy-preserving aggregation of smart metering via transformation and encryption,” to appear in Proceedings of the 16th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (IEEE TrustCom-17), Sydney, Australia, August 2017.

[C30] B. Ning, J. Jin, Z. Zuo, J. Zheng, and Q.-L. Han, “Distributed fixed-time cooperative tracking control for multi-robot systems,” in Proceedings of IEEE International Conference on Robotics and Automation 2017 (ICRA 2017), Singapore, May 2017.

[C29] H. Ko, J. Jin, and S. L. Keoh, “ViotSOC: Controlling access to dynamically virtualized IoT services using service object capability,” in Proceedings of 3rd ACM Cyber-Physical System Security Workshop (CPSS 2017) within ACM AsiaCCS’17, Abu Dhabi, UAE, April 2017.

[C28] A. Rahman, J. Jin, A. Cricenti, A. Rahman, and D. Yuan, “A cloud robotics framework of optimal task offloading for smart city applications,” in Proceedings of IEEE Global Communications Conference (Globecom 2016), Washington DC, USA, December 2016.

[C27] A. Rahman, J. Jin, Y. W. Wong, and K. S. Lam, “Development of a cloud-enhanced investigative mobile robot,” in Proceedings of the 2016 International Conference on Advanced Mechatronic Systems (ICAMechS 2016), Melbourne, Australia, November 2016.

[C26] P. Smith, M. Simons, J. Jin, and B. Ning, “Robot-assisted wireless relay deployment strategy for unknown environments,” in Proceedings of the 2016 International Conference on Advanced Mechatronic Systems (ICAMechS 2016), Melbourne, Australia, November 2016.

[C25] M. T. Do, J. Jin, Z. Man, and H. Wang, “Discrete-time sliding mode learning based congestion control for connection-oriented communication networks,” in Proceedings of the 2016 International Conference on Advanced Mechatronic Systems (ICAMechS 2016), Melbourne, Australia, November 2016.

[C24] D. Nguyen, J. Jin, and A. Tagami, “Cache-friendly streaming bitrate adaptation by congestion feedback in ICN,” in Proceedings of 3rd ACM Conference on Information-Centric Networking (ICN 2016), Kyoto, Japan, September 2016.

[C23] J. Li, J. Jin, D. Yuan, M. Palaniswami, and K. Moessner, “EHOPES: Data-centered fog platform for smart living,” in Proceedings of International Telecommunication Networks and Applications Conference (ITNAC 2015), Sydney, Australia, November 2015.

[C22] J. Jin, D. Yuan, J. Zheng, and Y. Dong, “Sliding mode-like congestion control for communication networks with heterogeneous applications,” in Proceedings of IEEE International Conference on Communications (ICC 2015), London, UK, June 2015.

[C21] D. Yuan, J. Jin, J. Grundy and Y. Yang, “A framework for convergence of cloud services and Internet of Things”, in Proceedings of 19th IEEE International Conference on Computer Supported Cooperative Work in Design (CSCWD2015), Calabria, Italy, May 2015.

[C20] B. Ning, J. Jin, H. Zhang, and J. Zheng, “Minimizing network interference through mobility control in wireless robotic networks,” in Proceedings of the 13th International Conference on Control, Automation, Robotics and Vision (ICARCV 2014), Singapore, December 2014.

[C19] B. Ning, J. Jin, Y. W. Law, and J. Zheng, “Connectivity control and performance optimization in wireless robotic networks: issues, approaches and a new framework,” in Proceedings of the 6th International Conference on Modelling, Identification and Control (ICMIC 2014), Melbourne, Australia, December 2014.

[C18] Y. W. Law, H. Pota, J. Jin, Z. Man, and M. Palaniswami, “Control and communication techniques for the smart grid: an energy efficiency perspective,” in Proceedings of the 19th World Congress of the International Federation of Automatic Control, Cape Town, South Africa, August 2014. (Invited Survey Paper)

[C17] W. Wang, Y. Sun, Y. Guo, M. Kaafar, J. Jin, J. Li, and Z. Li, “CRCache: Exploiting the correlation between content popularity and network topology information for ICN caching,” in Proceedings of IEEE International Conference on Communications (ICC 2014), Australia, June 2014.

[C16] Z. Sun, J. Zheng, Z. Man, and J. Jin, “Discrete-time iterative learning control for vehicle steer-by-wire systems,” in Proceedings of the 9th IEEE Conference on Industrial Electronics and Applications (ICIEA 2014), Hangzhou, China, June 2014.

[C15] F. Tay, Z. Man, J. Jin, S. Khoo, and J. Zheng, “Sliding mode based learning control for interconnected systems,” in Proceedings of the 8th IEEE Conference on Industrial Electronics and Applications (ICIEA 2013), Melbourne, Australia, June 2013.

[C14] M. T. Do, Z. Man, C. Zhang, and J. Jin, “A new sliding mode-based learning control for uncertain discrete-time systems,” in Proceedings of the 12th International Conference on Control, Automation, Robotics and Vision (ICARCV 2012), Guangzhou, China, December 2012.

[C13] F. Tay, Z. Man, Z. Cao, J. Jin, and S. Khoo, “A robust learning control for SISO nonlinear systems with T-S fuzzy model,” in Proceedings of the 12th International Conference on Control, Automation, Robotics and Vision (ICARCV 2012), Guangzhou, China, December 2012.

[C12] T. Luo, H.-P. Tan, P. C. Quan, Y. W. Law, and J. Jin, “Enhancing responsiveness and scalability for OpenFlow networks via control-message quenching,” in Proceedings of International Conference on ICT Convergence (ICTC 2012), Jeju Island, Korea, October 2012. (Best Paper Award)

[C11] J. Jin, J. Gubbi, T. Luo, and M. Palaniswami, “Network architecture and QoS issues in the Internet of Things for a smart city,” in Proceedings of the 12th International Symposium on Communications and Information Technologies (ISCIT 2012), Gold Coast, Australia, October 2012.

[C10] Z. Man, S. Khoo, X. Yu, and J. Jin, “A new sliding mode-based learning control scheme,” in Proceedings of the 6th IEEE Conference on Industrial Electronics and Applications (ICIEA 2011), Beijing, China, June 2011.

[C9] J. Jin, Y. W. Law, M. Palaniswami, and Z. Man, “A unified flow control approach for QoS balance in differentiated services,” in Proceedings of IEEE International Conference on Communications (ICC 2010), Cape Town, South Africa, May 2010.

[C8] Y. W. Law, S. Chatterjea, J. Jin, T. Hanselmann, and M. Palaniswami, “Energy-efficient data acquisition by adaptive sampling for wireless sensor networks,” in Proceedings of ACM the 5th International Wireless Communications and Mobile Computing Conference (IWCMC 2009), Leipzig, Germany, June 2009, pp. 1146-1151.

[C7] J. Jin, Y. W. Law, W. H. Wang, and M. Palaniswami, “A hierarchical transport architecture for wireless sensor networks,” in Proceedings of IEEE the 4th International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP 2008), Sydney, Australia, December 2008.

[C6] J. Jin, W. H. Wang, and M. Palaniswami, “Wireless sensor networks in the perspective of systems and controls: Quality of Service issues,” in Proceedings of the 2nd Victorian Chinese PhD Students and Young Scholars Research Workshop, Melbourne, Australia, October 2008. (Best Paper Award)

[C5] J. Jin, W. H. Wang, and M. Palaniswami, “Smooth and optimal TCP flow control for future Internet,” in Proceedings of ICT-MobileSummit 2008 Conference, P. Cunningham and M. Cunningham, Eds., June 2008.

[C4] Y. Zhang, W. T. Ang, J. Jin, and Z. Man, “Non-linear sliding mode control for a rotary inverted pendulum,” in Proceedings of International MultiConference of Engineers and Computer Scientists (IMECS 2007), Hong Kong, 2007, pp. 1433-1438. (Certificate of Merit)

[C3] J. Jin, W. H. Wang, and M. Palaniswami, “Utility max-min fair flow control for heterogeneous sensor networks,” in Proceedings of IEEE the 3rd International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP 2007), Melbourne, Australia, December 2007.

[C2] J. Jin, W. H. Wang, and M. Palaniswami, “Utility max-min fair flow control for multipath communication networks,” in Proceedings of International Conference on Signal Processing and Communication Systems (ICSPCS 2007), Gold Coast, Australia, December 2007.

[C1] J. Jin, W. H. Wang, and M. Palaniswami, “Application-oriented flow control for wireless sensor networks,” in Proceedings of the 3rd International Conference on Networking and Services (ICNS 2007), Athens, Greece, June 2007.

Theses:

[T2] J. Jin, “Flow control and performance optimization for multi-service networks,” PhD Thesis, The University of Melbourne, 2010.

[T1] J. Jin, “A novel sliding mode control of nonlinear inverted pendulum systems,” Bachelor Final Year Project Thesis, Nanyang Technological University, 2005.