Publications

H. Alhazmi, A. Imran and M. Abu Alsheikh “How do socio-demographic patterns define digital privacy divide?,” in IEEE Access, vol. 10, pp. 11296-11307, January 2022 [IEEE Xplore][arXiv][preprint]

M. Abu Alsheikh, D. T. Hoang, D. Niyato, D. Leong, P. Wang and Z. Han “Optimal pricing of Internet of Things: A machine learning approach,” in IEEE Journal on Selected Areas in Communications, vol. 38, no. 4, pp. 669-684, April 2020 [IEEE Xplore][arXiv][preprint]

M. Abu Alsheikh, D. Niyato, D. Leong, P. Wang, and Z. Han, “Privacy management and optimal pricing in people-centric sensing,” in IEEE Journal on Selected Areas in Communications, vol. 35, no. 4, pp. 906-920, April 2017 [IEEE Xplore][arXiv][preprint]

M. Abu Alsheikh, Y. Jiao, D. Niyato, P. Wang, D. Leong, and Z. Han, “The accuracy-privacy tradeoff of mobile crowdsensing,” in IEEE Communications Magazine, vol. 55, no. 6, pp. 132-139, June 2017 [IEEE Xplore][arXiv][preprint]

M. Abu Alsheikh, D. Niyato, S. Lin, H. P. Tan, and D. I. Kim, “Fast adaptation of activity sensing policies in mobile devices,” in IEEE Transactions on Vehicular Technology, accepted [IEEE Xplore][arXiv]

M. Abu Alsheikh, S. Lin, D. Niyato and H. P. Tan, “Rate-distortion balanced data compression for wireless sensor networks,” in IEEE Sensors Journal, vol. 16, no. 12, pp. 5072-5083, June, 2016 [IEEE Xplore][arXiv][preprint]

M. Abu Alsheikh, D. Niyato, S. Lin, H. P. Tan, and Z. Han, “Mobile big data analytics using deep learning and Apache Spark,” in IEEE Network, vol. 30, no. 3, pp. 22-29, June 2016 [IEEE Xplore][arXiv][preprint]

M. Abu Alsheikh, D. T. Hoang, D. Niyato, S. Lin, and H.-P. Tan, “Markov decision processes with applications in wireless sensor networks: A survey,” IEEE Communications Surveys and Tutorials, vol.17, no.3, pp.1239-1267, thirdquarter 2015 [IEEE Xplore][arXiv][preprint]

M. Abu Alsheikh, S. Lin, D. Niyato, H.-P. Tan, “Machine learning in wireless sensor networks: Algorithms, strategies and applications,” IEEE Communications Surveys and Tutorials, vol. 16, no. 4, pp. 1996-2018, Fourthquarter 2014 [IEEE Xplore][arXiv][preprint]

M. Zhao, Y. Tian, H. Zhao, M. Abu Alsheikh, T. Li, R. Hristov, Z. Kabelac, D. Katabi, A. Torralba, “RF-based 3D skeletons,” in Proceedings of ACM Special Interest Group on Data Communication (ACM SIGCOMM), 2018, pp. 267-281 [ACM Digital Library][preprint]

M. Zhao, T. Li, M. Abu Alsheikh, Y. Tian, H. Zhao, A. Torralba, D. Katabi, “Through-wall human pose estimation using radio signals,” in Proceedings of IEEE/CVF Conference on Computer Vision and Pattern Recognition (IEEE CVPR), 2018, pp. 7356-7365 [CVF Open Access][IEEE Xplore][video]

Y. Jiao, P. Wang, D. Niyato, M. Abu Alsheikh, and S. Feng, “Profit maximization auction and data management in big data markets,” in Proceedings of IEEE Wireless Communications and Networking Conference ( IEEE WCNC) 2017, pp. 1-6 [IEEE Xplore][arXiv]

D. Niyato, M. Abu Alsheikh, P. Wang, D. I. Kim, and Z. Han, “Market model and optimal pricing scheme of big data and Internet of Things (IoT),” in Proceedings of IEEE International Conference on Communications (IEEE ICC), Kuala Lumpur, 2016 [IEEE Xplore][arXiv]

M. Abu Alsheikh, S. Lin, H. P. Tan, and D. Niyato, “Toward a robust sparse data representation for wireless sensor networks,” in Proceedings of IEEE Conference on Local Computer Networks, Clearwater Beach, FL, USA, 26-29 October 2015 [IEEE Xplore][arXiv]

M. Abu Alsheikh, P. K. Poh, S. Lin, H. P. Tan, and D. Niyato, “Efficient data compression with error bound guarantee in wireless sensor networks,” in Proceedings of ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems, Montreal, Canada, 21-26 September, 2014 [ACM Digital Library][arXiv]

M. Abu Alsheikh, A. Selim, D. Niyato, L. Doyle, S. Lin, and H. P. Tan, “Deep activity recognition models with triaxial accelerometers,” Workshops at the Thirtieth AAAI Conference on Artificial Intelligence, Phoenix, Az, USA, 12-17 February 2016 [AAAI][arXiv]

M. Abu Alsheikh, S. Lin, H. P. Tan, and D. Niyato, “Area coverage under low sensor density,” in Proceedings of the 11th IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks (IEE SECON), Singapore, 1-3 July, 2014 [IEEE Xplore][arXiv]