About Me

I am an assistant professor in Industrial Engineering and Operations Research (IEOR) at the University of California, at Berkeley. I received a BS in Electrical Engineering in 2005 from the University of Michigan, in Ann Arbor, and a PhD in Electrical Engineering and Computer Sciences with Designated Emphasis in Computational and Genomic Biology in 2010 from the University of California, at Berkeley.

My research focuses on designing new statistical and optimization methods that utilize big data in order to generate empirical models of human-behavior within complex systems, which can then be used for better understanding, optimization, configuration, and design of these systems. I am currently interested in:

Contact

Address
4119 Etcheverry Hall
Berkeley, CA 94720
(510) 641-1403 (fax)
aaswani [at] berkeley [dot] edu
Office Hours

Publications

Journal Papers
M. Zhou, Y. Fukuoka, Y. Mintz, K. Goldberg, P. Kaminsky, E. Flowers, and A. Aswani (2018), Evaluating machine learning-based automated personalized daily step goals delivered through a mobile phone app: Randomized controlled trial, JMIR mHealth and uHealth, vol. 6, no. 1: e28.
A. Aswani (2018), Statistics with set-valued functions: Applications to inverse approximate optimization, Mathematical Programming.
Supplementary Code
A. Aswani, Z.-J. Shen, and A. Siddiq (2018), Inverse Optimization with Noisy Data, Operations Research. To appear.
Y. Fukuoka, M. Zhou, E. Vittinghoff, W. Haskell, K. Goldberg, and A. Aswani (2018), Objectively measured baseline physical activity patterns in women in the mPED trial: Cluster analysis, JMIR Public Health and Surveillance, vol. 4, no. 1: e10.
Y. Mintz, A. Aswani, P. Kaminsky, E. Flowers, and Y. Fukuoka (2017), Non-stationary bandits with habituation and recovery dynamics.
Y. Mintz, A. Aswani, P. Kaminsky, E. Flowers, and Y. Fukuoka (2017), Behavioral analytics for myopic agents.
A. Aswani, P. Kaminsky, Y. Mintz, E. Flowers, and Y. Fukuoka (2017), Behavioral modeling in weight loss interventions.
A. Aswani, Z.-J. Shen, and A. Siddiq (2017), Data-driven incentive design in the Medicare Shared Savings Program.
A. Aswani (2016), Low-rank approximation and completion of positive tensors, SIAM Journal on Matrix Analysis and Applications, vol. 37, no. 3: 1337-1364.
Supplementary Code
M. Lee, A. Aswani, A. Han, C. Tomlin, and J. Dueber (2013), Expression-level optimization of a multi-enzyme pathway in the absence of a high-throughput assay, Nucleic Acids Research, vol. 41, no. 22: 10668-10678.
A. Aswani, H. Gonzalez, S. Sastry, and C. Tomlin (2013), Provably safe and robust learning-based model predictive control, Automatica, vol. 49, no. 5: 1216-1226.
Technical Appendix — Statistical results on filtering and epi-convergence for learning-based model predictive control
A. Aswani, N. Master, J. Taneja, D. Culler, and C. Tomlin (2012), Reducing transient and steady state electricity consumption in HVAC using learning-based model predictive control, Proceedings of the IEEE, vol. 100, no. 1: 240-253.
Open Access E-print
A. Aswani, P. Bickel, and C. Tomlin (2011), Regression on manifolds: Estimation of the exterior derivative, Annals of Statistics, vol. 39, no. 1: 48-81.
Supplementary Code
A. Aswani, S. Keränen, J. Brown, C. Fowlkes, D. Knowles, M. Biggin, P. Bickel, and C. Tomlin (2010), Nonparametric identification of regulatory interactions from spatial and temporal gene expression data, BMC Bioinformatics, vol. 11, no. 413.
Supplementary Code and Data
A. Aswani and C. Tomlin (2009), Monotone piecewise affine systems, IEEE Transactions on Automatic Control, vol. 54, no. 8: 1913-1918.
Book Chapters
A. Aswani, M. Biggin, P. Bickel, and C. Tomlin (2012), Nonparametric variable selection and modeling for spatial and temporal regulatory networks, In Methods in Cell Biology, vol. 110: 243-261.
A. Aswani and C. Tomlin (2007), Reachability algorithm for biological piecewise-affine hybrid systems, In Hybrid Systems: Computation and Control 2007: 633-636.
Conference Publications
M. Zhou, Y. Mintz, Y. Fukuoka, K. Goldberg, E. Flowers, P. Kaminsky, A. Castillejo, and A. Aswani (2018), Personalizing mobile fitness apps using reinforcement learning, In ACM Workshop on Theory-Informed User Modeling for Tailoring and Personalizing Interfaces (HUMANIZE).
M. Olfat and A. Aswani (2018), Convex formulations for fair principal component analysis.
Supplementary Code
M. Olfat and A. Aswani (2018), Spectral algorithms for computing fair support vector machines, In International Conference on Artificial Intelligence and Statistics (AISTATS). To appear.
Supplementary Code
P. Hespanhol, M. Porter, R. Vasudevan, and A. Aswani (2018), Statistical watermarking for networked control systems, In Proceedings of the American Control Conference. To appear.
A. Ouattara and A. Aswani (2018), Duality approach to bilevel programs with a convex lower level, In Proceedings of the American Control Conference. To appear.
P. Hespanhol and A. Aswani (2018), Family-personalized dietary planning with temporal dynamics, In Proceedings of the American Control Conference. To appear.
Y. Mintz, J.A. Cabrera, J.R. Pedrasa, and A. Aswani (2018), Control synthesis for bilevel linear model predictive control, In Proceedings of the American Control Conference. To appear.
J.A. Cabrera, Y. Mintz, J.R. Pedrasa, and A. Aswani (2018), Designing real-time prices to reduce load variability with HVAC, In Proceedings of the American Control Conference. To appear.
Y. Mintz, Z.-J. Shen, and A. Aswani (2017), Local water storage control for the developing world, In Proceedings of IEEE Conference on Decision and Control.
P. Hespanhol, M. Porter, R. Vasudevan, and A. Aswani (2017), Dynamic watermarking for general LTI systems, In Proceedings of IEEE Conference on Decision and Control.
Y. Mintz and A. Aswani (2017), Polynomial-time approximation for nonconvex optimization problems with an L1-constraint, In Proceedings of IEEE Conference on Decision and Control.
M. Chapman, T. Risom, A. Aswani, R. Dobbe, R. Sears, and C. Tomlin (2016), A model of phenotypic state dynamics initiates a promising approach to control heterogeneous malignant cell populations, In Proceedings of IEEE Conference on Decision and Control.
A. Aswani and C. Tomlin (2012), Incentive design for efficient building quality of service, In Allerton Conference on Communication, Control, and Computing.
A. Aswani, N. Master, J. Taneja, A. Krioukov, D. Culler, and C. Tomlin (2012), Quantitative methods for comparing different HVAC control schemes, In International Conference on Performance Evaluation Methodologies and Tools.
Supplementary Code
A. Aswani, N. Master, J. Taneja, A. Krioukov, D. Culler, and C. Tomlin (2012), Energy-efficient building HVAC control using hybrid system LBMPC, In Proceedings of IFAC Conference on Nonlinear Model Predictive Control.
A. Aswani, N. Master, J. Taneja, V. Smith, A. Krioukov, D. Culler, and C. Tomlin (2012), Identifying models of HVAC systems using semi-parametric regression, In Proceedings of the American Control Conference: 3675-3680.
A. Aswani, P. Bouffard, and C. Tomlin (2012), Extensions of learning-based model predictive control for real-time application to a quadrotor helicopter, In Proceedings of the American Control Conference: 4661-4666.
P. Bouffard, A. Aswani, and C. Tomlin (2012), Learning-based model predictive control on a quadrotor: Onboard implementation and experimental results, In Proccedings of IEEE International Conference on Robotics and Automation: 279-284.
A. Aswani and C. Tomlin (2011), Game-theoretic routing of GPS-assisted vehicles for energy efficiency, In Proceedings of the American Control Conference: 3375-3380.
A. Aswani and C. Tomlin (2010), Computer-aided drug discovery for pathway and genetic diseases, In Proceedings of IEEE Conference on Decision and Control: 4709-4714.
A. Aswani, H. Guturu, and C. Tomlin (2009), System identification of hunchback protein patterning in early Drosophila embryogenesis, In Proceedings of IEEE Conference on Decision and Control: 7723-7728.
A. Aswani, N. Boyd, and C. Tomlin (2009), Graph-theoretic topological control of biological genetic networks, In Proceedings of the American Control Conference: 1700-1705.
A. Aswani, P. Bickel, and C. Tomlin (2009), Statistics for sparse, high-dimensional, and nonparametric system identification, In Proceedings of IEEE International Conference on Robotics and Automation: 2133-2138.
A. Aswani and C. Tomlin (2008), Topology based control of biological genetic networks, In Proceedings of IEEE Conference on Decision and Control: 781-786.
Technical Reports and Software
X. Zhang, P. Bouffard, A. Aswani, and C. Tomlin (2013), Numerical solvers for LBMPC that are implemented in C++ source code.
X. Zhang, P. Bouffard, A. Aswani, and C. Tomlin (2013), Practical comparison of optimization algorithms for learning-based MPC with linear models. arXiv preprint arXiv:1404.2843.
A. Aswani (2010), Systems Theory for Pharmaceutical Drug Discovery. (Doctoral dissertation).

Teaching

Students

Yonatan Mintz — PhD expected 2018
Auyon Siddiq — PhD expected 2018 (Jointly advised with Max Shen)
Mo Zhou — PhD expected 2018 (Jointly advised with Ken Goldberg)
Matt Olfat — PhD expected 2020
Pedro Hespanhol — PhD expected 2020