Dr Fanlin Meng

Department of Mathematical Sciences
Dr Fanlin Meng



I am a Lecturer in Data Science in the Department of Mathematical Sciences at the University of Essex. Prior to my current appointment, I held several research positions in Cardiff, Edinburgh, Durham and Loughborough. I received my PhD in Computer Science (Machine Learning and Optimisation) from the University of Manchester in 2015. My main research interests lie in the broad areas of Machine Learning, Game theory, Optimisation as well as their applications to real-world data science problems, intelligent systems learning and modelling (e.g., smart grids, intelligent transportation systems), and digital/ sustainable Infrastructure (e.g., smart buildings, transportation, energy systems, sustainability).


  • PhD University of Manchester, (2015)

  • MSc Xiamen University, (2011)

  • BSc China University of Mining and Technology, (2008)


University of Essex

  • Lecturer in Data Science, University of Essex (15/1/2019 - present)

Teaching and supervision

Current teaching responsibilities

  • Applied Statistics (MA321)


Journal articles (9)

Zhang, Y., Meng, F., Wang, R., Kazemtabrizi, B. and Shi, J., (2019). Uncertainty-resistant Stochastic MPC Approach for Optimal Operation of CHP Microgrid. Energy. 179, 1265-1278

Zhang, Y., Meng, F., Wang, R., Zhu, W. and Zeng, X-J., (2018). A stochastic MPC based approach to integrated energy management in microgrids. Sustainable Cities and Society. 41, 349-362

Meng, F., Zeng, X-J., Zhang, Y., Dent, CJ. and Gong, D., (2018). An integrated optimization + learning approach to optimal dynamic pricing for the retailer with multi-type customers in smart grids. Information Sciences. 448-449, 215-232

MA, Q., MENG, F. and ZENG, X-J., (2018). Optimal dynamic pricing for smart grid having mixed customers with and without smart meters. Journal of Modern Power Systems and Clean Energy. 6 (6), 1244-1254

Liu, Z., Zeng, X. and Meng, F., (2018). An Integration Mechanism between Demand and Supply Side Management of Electricity Markets. Energies. 11 (12), 3314-3314

Gong, D., Zhang, G., Yao, X. and Meng, F., (2017). Mutant reduction based on dominance relation for weak mutation testing. Information and Software Technology. 81, 82-96

Liu, K., Gong, D., Meng, F., Chen, H. and Wang, G-G., (2017). Gesture segmentation based on a two-phase estimation of distribution algorithm. Information Sciences. 394-395, 88-105

Meng, F-L. and Zeng, X-J., (2016). A Profit Maximization Approach to Demand Response Management with Customers Behavior Learning in Smart Grid. IEEE Transactions on Smart Grid. 7 (3), 1516-1529

Meng, F-L. and Zeng, X-J., (2013). A Stackelberg game-theoretic approach to optimal real-time pricing for the smart grid. Soft Computing. 17 (12), 2365-2380

Conferences (3)

Meng, F., Kazemtabrizi, B., Zeng, X-J. and Dent, C., (2017). An optimal differential pricing in smart grid based on customer segmentation

Meng, F., Su, J., Liu, C. and Chen, W-H., (2016). Dynamic decision making in lane change: Game theory with receding horizon

Meng, F-L. and Zeng, X-J., (2014). An optimal real-time pricing for demand-side management: A Stackelberg game and genetic algorithm approach

+44 (0) 1206 876510


STEM 5.35, Colchester Campus