A5014893911- Advanced Control Systems Optimization
- Smart Grid Security and Resilience
- Smart Grid Energy Management
- Building Energy and Comfort Optimization
- Control Systems and Identification
- Fault Detection and Control Systems
- Sparse and Compressive Sensing Techniques
- Gene Regulatory Network Analysis
- Adversarial Robustness in Machine Learning
- Vehicular Ad Hoc Networks (VANETs)
- Advanced Bandit Algorithms Research
- Tensor decomposition and applications
- Statistical Methods and Inference
- Mobile Health and mHealth Applications
- Formal Methods in Verification
- Advanced Causal Inference Techniques
- Auction Theory and Applications
- Physical Activity and Health
- Energy Efficiency and Management
- Obesity, Physical Activity, Diet
- Transportation and Mobility Innovations
- Advanced Optimization Algorithms Research
- Advanced Malware Detection Techniques
- Risk and Portfolio Optimization
- Health Systems, Economic Evaluations, Quality of Life
University of California, Berkeley
2015-2024
University of California System
2018-2019
University of Michigan
2019
Energy Biosciences Institute
2013
Berkeley College
2012
Stanford University
2012
Heating, ventilation, and air conditioning (HVAC) systems are an important target for efficiency improvements through new equipment retrofitting because of their large energy footprint. One type that is common in homes some offices electrical, single-stage heat pump conditioner (AC). To study this setup, we have built the Berkeley Retrofitted Inexpensive HVAC Testbed Energy Efficiency (BRITE) platform. This platform allows us to actuate AC unit controls room temperature a computer laboratory...
Abstract Engineered metabolic pathways often suffer from flux imbalances that can overburden the cell and accumulate intermediate metabolites, resulting in reduced product titers. One way to alleviate such is adjust expression levels of constituent enzymes using a combinatorial library. Typically, this approach requires high-throughput assays, which are unfortunately unavailable for vast majority desirable target compounds. To address this, we applied regression modeling enable optimization...
In this paper, we present details of the real time implementation onboard a quadrotor helicopter learning-based model predictive control (LBMPC). LBMPC rigorously combines statistical learning with engineering, while providing levels guarantees about safety, robustness, and convergence. Experimental results show that can learn physically based updates to an initial model, how as result improves transient response performance. We demonstrate robustness mis-learning. Finally, use in integrated...
Abstract Intratumoral heterogeneity in cancers arises from genomic instability and epigenomic plasticity is associated with resistance to cytotoxic targeted therapies. We show here that cell-state heterogeneity, defined by differentiation-state marker expression, high triple-negative basal-like breast cancer subtypes, drug tolerant persister (DTP) cell populations altered expression emerge during treatment a wide range of pathway-targeted therapeutic compounds. MEK PI3K/mTOR inhibitor-driven...
Inverse optimization refers to the inference of unknown parameters an problem based on knowledge its optimal solutions. This paper considers inverse in setting where measurements solutions a convex are corrupted by noise. We first provide formulation for and prove it be NP-hard. In contrast existing methods, we show that parameter estimates produced our statistically consistent. Our approach involves combining new duality-based reformulation bilevel programs with regularization scheme...
<h3>Importance</h3> Despite data aggregation and removal of protected health information, there is concern that deidentified physical activity (PA) collected from wearable devices can be reidentified. Organizations collecting or distributing such suggest the aforementioned measures are sufficient to ensure privacy. However, no studies, our knowledge, have been published demonstrate possibility impossibility reidentifying data. <h3>Objective</h3> To evaluate feasibility accelerometer-measured...
Background: Growing evidence shows that fixed, nonpersonalized daily step goals can discourage individuals, resulting in unchanged or even reduced physical activity. Objective: The aim of this randomized controlled trial (RCT) was to evaluate the efficacy an automated mobile phone–based personalized and adaptive goal-setting intervention using machine learning as compared with active control steady 10,000. Methods: In 10-week RCT, 64 participants were recruited via email announcements...
Cyber-physical systems (CPS) often rely on external communication for supervisory control or sensing. Unfortunately, these communications render the system vulnerable to cyber attacks. Attacks that alter messages, such as replay attacks record measurement signals, and then play them back can cause devastating effects. Dynamic Watermarking methods, which inject a private excitation into inputs secure resulting have begun addressing challenges of detecting attacks, but been restricted linear...
A new technique called learning-based model predictive control (LBMPC) rigorously combines statistics and learning with engineering, while providing levels of guarantees about safety, robustness, convergence. This paper describes modifications LBMPC that enable its realtime implementation on an ultra-low-voltage processor is onboard a quadrotor helicopter testbed, it also discusses the numerical algorithms used to implement scheme quadrotor. Experimental results are provided demonstrate...
Collinearity and near-collinearity of predictors cause difficulties when doing regression. In these cases, variable selection becomes untenable because mathematical issues concerning the existence numerical stability regression coefficients, interpretation coefficients is ambiguous gradients are not defined. Using a differential geometric interpretation, in which interpreted as estimates exterior derivative function, we develop new method to do presence collinearities. Our regularization...
Heating, ventilation, and air-conditioning (HVAC) systems use a large amount of energy, so they are an interesting area for efficiency improvements. The focus here is on the semiparametric regression to identify models, which amenable analysis control system design, HVAC systems. This paper briefly describes two testbeds that we have built Berkeley campus modeling efficient systems, these as case studies identification. main contribution this work allows estimation heating load from...
Identifying individuals who are unlikely to adhere a physical exercise regime has potential improve activity interventions. The aim of this paper is develop and test adherence prediction models using objectively measured data in the Mobile Phone-Based Physical Activity Education program (mPED) trial. To best our knowledge, first apply Machine Learning methods predict relapse accelerometer-recorded data. We use logistic regression support vector machine design two versions Discontinuation...
Though there is a growing literature on fairness for supervised learning, incorporating into unsupervised learning has been less well-studied. This paper studies in the context of principal component analysis (PCA). We first define dimensionality reduction, and our definition can be interpreted as saying reduction fair if information about protected class (e.g., race or gender) cannot inferred from dimensionality-reduced data points. Next, we develop convex optimization formulations that...
Determining patterns of physical activity throughout the day could assist in developing more personalized interventions or guidelines general and, particular, for women who are less likely to be physically active than men.The aims this report identify clusters based on accelerometer-measured baseline raw metabolic equivalent task (MET) values and a normalized version METs ≥3 data, compare sociodemographic cardiometabolic risks among these identified clusters.A total 215 were enrolled Mobile...
The Medicare Shared Savings Program (MSSP) was created under the Patient Protection and Affordable Care Act to incentive providers reduce costs while maintaining quality of care. In this paper, ...
In many sequential decision-making settings where there is uncertainty about the reward of each action, frequent selection specific actions may reduce expected while choosing less frequently selected could lead to an increase. These effects are commonly observed in ranging from personalized healthcare interventions and targeted online advertising. To address this problem, authors propose a new class models called ROGUE (reducing or gaining unknown efficacy) multiarmed bandits. paper, present...
Detecting attacks in control systems is an important aspect of designing secure and resilient systems. Recently, a dynamic watermarking approach was proposed for detecting malicious sensor SISO LTI with partial state observations MIMO full rank input matrix observations; however, these previous approaches cannot be applied to general that are have observations. This paper designs systems, we provide new set asymptotic statistical tests. We prove tests can detect follow specified attack model...
Regular physical activity is associated with reduced risk of chronic illnesses. Despite various types successful interventions, maintenance over the long term extremely challenging.The aims this original paper are to 1) describe engagement post intervention, 2) identify motivational profiles using natural language processing (NLP) and clustering techniques in a sample women who completed 3) compare sociodemographic clinical data among these identified cluster groups.In cross-sectional...
Watermarking can detect sensor attacks in control systems by injecting a private signal into the control, whereby are identified checking statistics of measurements and signal. However, past approaches assume full state or centralized controller, which is not found networked LTI with subcontrollers. Since generally entire system neither controllable nor observable single subcontroller, communication required to ensure closed-loop stability. The possibility attacking channel has been...