I am an associate 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 a designated emphasis in computational and genomic biology in 2010 from the University of California, at Berkeley. I have received an NSF CAREER award through the Operations Engineering program for my work on personalized healthcare, a Hellman Fellowship for my research on food insecurity, and the Leon O. Chua award from Berkeley for outstanding achievement in an area of nonlinear science.

My research interests include data-driven decision making, with particular emphasis on addressing inefficiencies and inequities in health systems and physical infrastructure.

Address

4119 Etcheverry Hall
Berkeley, CA 94720
(510) 664-9114 (phone), (510) 642-1403 (fax)
aaswani [at] berkeley [dot] edu

Office Hours

Mon 10-11am
Wed 10-11am

Journal Papers

A. Aswani and P. Hespanhol (2020), Statistical consistency of set-membership estimator for linear systems, IEEE Control Systems Letters, vol. 4, no. 3: 668-673.

A. Aswani and M. Olfat (2019), Optimization hierarchy for fair statistical decision problems.

M. Porter, P. Hespanhol, A. Aswani, M. Johnson-Roberson, and R. Vasudevan (2019), Detecting generalized replay attacks via time-varying dynamic watermarking.

P. Hespanhol, M. Porter, R. Vasudevan, and A. Aswani (2019), Sensor switching control under attacks detectable by finite sample dynamic watermarking tests.

Y. Mintz, A. Aswani, P. Kaminsky, E. Flowers, and Y. Fukuoka (2019), Behavioral analytics for myopic agents.

Y. Mintz, A. Aswani, P. Kaminsky, E. Flowers, and Y. Fukuoka (2019), Non-stationary bandits with habituation and recovery dynamics, Operations Research. Accepted.

A. Aswani, Z.-J. Shen, and A. Siddiq (2019), Data-driven incentive design in the Medicare Shared Savings Program, Operations Research, vol. 67, no. 4: 1002-1026.

A. Aswani (2019), Statistics with set-valued functions: Applications to inverse approximate optimization, Mathematical Programming, vol. 174, no.1-2: 225-251.
Supplementary Code

A. Aswani, P. Kaminsky, Y. Mintz, E. Flowers, and Y. Fukuoka (2019), Behavioral modeling in weight loss interventions, European Journal of Operational Research, vol. 272, no. 3: 1058-1072.

M. Zhou, Y. Fukuoka, K. Goldberg, E. Vittinghoff, and A. Aswani (2019), Applying machine learning to predict future adherence to physical activity programs, BMC Medical Informatics and Decision Making, vol. 19: 169.

A. Miller, A. Aswani, M. Zhou, J. Slagle, M. Weinger, and D. France (2019), Using telephone call rates as an indicator of resilient performance during high nursing workload periods, Cognition, Technology & Work, vol. 21, no. 2: 225-236.

M. Chapman, T. Risom, A. Aswani, E. Langer, R. Sears, and C. Tomlin (2019), Modeling phenotypic-state transitions that are linked to therapeutic escape in triple-negative breast cancer, PLOS Computational Biology, vol. 15, no.3: e1006840.

A. Aswani, Z.-J. Shen, and A. Siddiq (2018), Inverse optimization with noisy measurements, Operations Research, vol. 66, no. 3: 870-892.

L. Na, C. Yang, C.-C. Lo, F. Zhao, Y. Fukuoka, and A. Aswani (2018), Feasibility of reidentifying individuals in large national physical activity data sets from which protected health information has been removed with use of machine learning, JAMA Network Open, vol. 1, no. 8: e186040.

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 & Uhealth, vol. 6, no. 1: e28.

Y. Fukuoka, T. Lindgren, Y. Mintz, J. Hooper, and A. Aswani (2018), Applying natural language processing to understand motivational profiles for maintaining physical activity after an application and accelerometer-based intervention: The mPED randomized controlled trial, JMIR Mhealth & Uhealth, vol. 6, no. 6: e10042.

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 & Surveillance, vol. 4, no. 1: e10.

T. Risom, E. Langer, C. Margaret, J. Rantala, A. Fields, C. Boniface, A. Mariano, C. Pelz, N. Kendsersky, K. Johnson-Comacho, L. Dobrolecki, K. Chin, A. Aswani, N. Wang, A. Califano, M. Lewis, P. Spellman, C. Tomlin, A. Adey, J. Gray, R. Sears (2018), Differentiation-state plasticity is a targetable resistance mechanism in basal-like breast cancer, Nature Communications, vol. 9, no. 1: 3815.

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 learning-based model predictive control, Proceedings of the IEEE, vol. 100, no. 1: 240-253.

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

Monotone piecewise affine systems, IEEE Transactions on Automatic Control, vol. 54, no. 8: 1913-1918.

Conference Publications

P. Hespanhol and A. Aswani (2020), Hypothesis testing approach to detecting collusion in competitive environments, In Proceedings of the International Conference on Performance Evaluation Methodologies and Tools (VALUETOOLS). Accepted.

M. Porter, S. Dey, A. Joshi, P. Hespanhol, A. Aswani, M. Johnson-Roberson, and R. Vasudevan (2020), Detecting deception attacks on autonomous vehicles via linear time-varying dynamic watermarking, In Proceedings of the IEEE Conference on Control Technology and Applications. Accepted.

M. Olfat, S. Sloan, P. Hespanhol, M. Porter, R. Vasudevan, and A. Aswani (2020), Covariance-robust dynamic watermarking.

M. Olfat and A. Aswani (2020), Average margin regularization for classifiers.

P. Hespanhol and A. Aswani (2019), Surrogate optimal control for strategic multi-agent systems, In Proceedings of the IEEE Conference of Decision and Control: 2802-2807.

M. Olfat and A. Aswani (2019), Convex formulations for fair principal component analysis, In Proceedings of the AAAI Conference on Artificial Intelligence: 663-670.
Supplementary Code

M. Porter, A. Joshi, P. Hespanhol, A. Aswani, M. Johnson-Roberson, and R. Vasudevan (2019), Simulation and real-world evaluation of attack detection schemes, In Proceedings of the American Control Conference.

M. Olfat and A. Aswani (2018), Spectral algorithms for computing fair support vector machines, In Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS): 1933-1942.
Supplementary Code

J. Lee, M. Laskey, A.K. Tanwani, A. Aswani, and K. Goldberg (2018), A dynamic regret analysis and adaptive regularization algorithm for on-policy robot imitation learning, In Proceedings of the International Workshop on the Algorithmic Foundations of Robotics.

P. Hespanhol, M. Porter, R. Vasudevan, and A. Aswani (2018), Statistical watermarking for networked control systems, In Proceedings of the American Control Conference: 5467-5472.

A. Ouattara and A. Aswani (2018), Duality approach to bilevel programs with a convex lower level, In Proceedings of the American Control Conference: 1388-1395.

P. Hespanhol and A. Aswani (2018), Family-personalized dietary planning with temporal dynamics, In Proceedings of the American Control Conference: 2163-2169

Y. Mintz, J. Cabrera, J. Pedrasa, and A. Aswani (2018), Control synthesis for bilevel linear model predictive control, In Proceedings of the American Control Conference: 2338-2343.

J. Cabrera, Y. Mintz, J. Pedrasa, and A. Aswani (2018), Designing real-time prices to reduce load variability with HVAC, In Proceedings of the American Control Conference: 6170-6175.

C. Garaza, P. Hespanhol, Y. Mintz, J. Pedrasa, and A. Aswani (2018), Impact of occupancy modeling and horizon length on HVAC controller efficiency, In Proceedings of the European Control Conference: 1328-1334.

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 Proceedings of the ACM Workshop on Theory-Informed User Modeling for Tailoring and Personalizing Interfaces (HUMANIZE).

Y. Mintz, Z.-J. Shen, and A. Aswani (2017), Local water storage control for the developing world, In Proceedings of the IEEE Conference on Decision and Control: 5074-5079.

P. Hespanhol, M. Porter, R. Vasudevan, and A. Aswani (2017), Dynamic watermarking for general LTI systems, In Proceedings of the IEEE Conference on Decision and Control: 1834-1839.

Y. Mintz and A. Aswani (2017), Polynomial-time approximation for nonconvex optimization problems with an L1-constraint, In Proceedings of the IEEE Conference on Decision and Control: 682-687.

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 the IEEE Conference on Decision and Control: 2481-2487.

A. Aswani, N. Master, J. Taneja, A. Krioukov, D. Culler, and C. Tomlin (2012), Quantitative methods for comparing different HVAC control schemes, In Proceedings of the International Conference on Performance Evaluation Methodologies and Tools (VALUETOOLS): 326-332.
Supplementary Code

A. Aswani and C. Tomlin (2012), Incentive design for efficient building quality of service, In Proceedings of the Allerton Conference on Communication, Control, and Computing: 90-97.

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 the IFAC Conference on Nonlinear Model Predictive Control: 496-501.

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 Proceedings of the 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, 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 the 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 the IEEE Conference on Decision and Control: 781-786.

A. Aswani, and C. Tomlin (2007), Reachability algorithm for biological piecewise-affine hybrid systems, In Hybrid Systems: Computation and Control: 633-636.

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.

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).

FA 19 — IEOR 151: Service Operations Design and Analysis (Instructor)
SP 18 — IEOR 165: Engineering Statistics, Quality Control, and Forecasting (Instructor)
SP 18 — IEOR 265: Learning and Optimization (Instructor)

Caleb Bugg — PhD expected 2023
Ilgin Dogan — PhD expected 2023, Jointly advised with Max Shen
Yoon Lee — PhD expected 2023
Matt Olfat — PhD expected 2020
Pedro Hespanhol — PhD expected 2020
Yonatan Mintz — PhD 2018 (Postdoctoral Research Fellow at the Georgia Institute of Technology)
Auyon Siddiq — PhD 2018 (Assistant Professor at the University of California, at Los Angeles), Jointly advised with Max Shen
Mo Zhou — PhD 2018 (Uber), Jointly advised with Ken Goldberg