Mihaela van der Schaar

Man Professorship of Quantitative Finance

Mihaela van der Schaar is the Man Professor of Quantitative Finance, Oxford-Man Institute, Department of Engineering Science, University of Oxford.  Her research interests include  1) Machine learning for medicine; 2) Machine learning for a better Planet (including education etc.); 3) Quantitative Finance; 4) Data science and decisions; 5) Game Theory; 6) Social, economic and biological networks

She was Chancellor's Professor of Electrical Engineering at University of California, Los Angeles, IEEE Fellow (elected 2009) and was a Distinguished Lecturer of the Communications Society, the Editor in Chief of IEEE Transactions on Multimedia, a member of the Editorial Board of the IEEE Journal on Selected Topics in Signal Processing (JSTSP) and a Senior Editorial Board member of IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS). She received an NSF CAREER Award (2004), the Best Paper Award from IEEE Transactions on Circuits and Systems for Video Technology (2005), the Okawa Foundation Award (2006), the IBM Faculty Award (2005, 2007, 2008), the Most Cited Paper Award from EURASIP: Image Communications Journal (2006), the Gamenets Conference Best Paper Award (2011) and the 2011 IEEE Circuits and Systems Society Darlington Award Best Paper Award. She received three ISO awards for her contributions to the MPEG video compression and streaming international standardization activities, and holds 33 granted US patents. She is also the founding director of the UCLA Center for Engineering Economics, Learning, and Networks (see netecon.ee.ucla.edu).


Personal webpage click here 


Working Paper

Alaa, M. Yoon, J. Hu, S. and van der Scaar, M. (2016). "A semi-Markov switching linear gaussian model for censored physiological data" NIPS - Workshop on Machine Learning for Health.
Yoon, J Alaa, A. M. Cadeiras, M. and van der Schaar, M. (2017). Personalized donor-recipient matching for organ transplantation.
Xu, J. Han, Y. Marcu, D. and van der Schaar, M. (2017). Progressive prediction of student performance in college programs - AAAI.

Published Research

van der Schaar, M. and Zhang, S. (2017). From acquaintances to friends homophily and learning in networks. IEEE JSAC - Game Theory for Networks Special Issue. 35(3). 680 - 690.
Tekin, C. Yoon, J. and van der Schaar, M. (2017). Adaptive ensemble learning with confdence bounds. IEEE - Trassactions on Signal Processing. 65(4). 888 - 903.
Xu, J., Moon, K.H. and van der Schaar, M (2017). A machine learning approach for tracking and predicting student performance in degree programs. IEEE Journal of Selected Topics in Signal Processing. PP(99). 1-1.
Akbarzadeh, N Tekin, C and van der Schaar, M (2017). Online Learning in Limit Order Book Trade Execution. IEEE GlobalSIP Symposium on Signal and Information Processing for Finance and Business. 2017. ..
Yoon, J Jordon, J and van der Schaar, M (2018). GANITE: Estimation of Individualized Treatment Effects using Generative Adversarial Nets. ICLR. 2018. ..
Yoon, J Zame, W.R. and van der Schaar, M (2018). Deep Sensing: Active Sensing using Multi-directional Recurrent Neural Networks. ICLR. 2018. ..
Zhou, Y Shen, C Luo, X and van der Schaar, M (2018). A Non-Stationary Online Learning Approach to Mobility Management. IEEE ICC 2018 Wireless Networking Symposium. 2018. ..
Bellot, A and van der Schaar, M (2018). Tree-based Bayesian Mixture Model for Competing Risks. AISTATS. 2018. ..
Shen, C Tekin, C and van der Schaar, M (2018). Generalized Global Bandit and its Application in Cellular Coverage Optimization. IEEE Journal of Selected Topics in Signal Processing. 2018. ..