Valderrama, S. (CSE) – Closing Data Gaps for Cybersecurity AI Training and Evaluation
Engineering 2 Engineering 2 1156 High Street, Santa CruzWeek of Events
Graduate Preparation Program
The Graduate Preparation Program (GPP) is a four-week intensive non-credit course offered in person on the main campus prior to the fall quarter, which is open to all current and newly admitted international graduate students. It focuses on English for Academic Purposes (EAP), academic skills, and cultural orientation. The program also provides a foundation for […]
Monday, September 7, 2026
No events on this day.
Tuesday, September 8, 2026
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Virtual EventSeptember 8, 2026Zhang, X. (STAT) – Predictive Generalized Variational Inference for Spatial Gaussian Process Model
Zhang, X. (STAT) – Predictive Generalized Variational Inference for Spatial Gaussian Process Model
Spatially dependent data are common in environmental and climate studies, where Gaussian process models are used for prediction and uncertainty quantification. Learning their covariance structure involves both statistical and computational challenges. Likelihood-based inference may be sensitive to covariance misspecification, while repeated evaluation of prediction-oriented criteria can be computationally demanding. To study these issues, we develop […]
Wednesday, September 9, 2026
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Virtual EventSeptember 9, 2026Chen, Y. (STAT) – Flexible Bayesian Models for High-Dimensional and Longitudinal Discrete Data in Microbiome Studies
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Hybrid EventSeptember 9, 2026Abdulaziz, A. (ECE) – Learning-Based Channel Estimation for Next-Generation Wireless Communications
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September 9, 2026Devarajan, K. (ECE) – Towards Multimodal Detection of Neuronal Signaling using Graphene Heterostructures
Chen, Y. (STAT) – Flexible Bayesian Models for High-Dimensional and Longitudinal Discrete Data in Microbiome Studies
Multivariate dependent discrete data routinely arise in microbiome studies. Analyzing these data presents interesting statistical challenges, such as high dimensionality, excess zeros, large heterogeneity across samples, and temporal dependence in longitudinal studies. Drawing inferences about objects of primary scientific interest—such as temporal trajectories of microbial abundance, microbial interactions, clusters of microbes similarly associated with environmental […]
Abdulaziz, A. (ECE) – Learning-Based Channel Estimation for Next-Generation Wireless Communications
Coherent wireless reception depends on accurate channel state information (CSI), yet acquiring CSI through pilot transmission consumes time–frequency resources that could otherwise carry data. This tradeoff becomes more pronounced in time-varying and frequency-selective channels and in short-packet communications, where accurate channel estimation is challenging and pilot overhead can be significant. This dissertation investigates how CSI […]
Devarajan, K. (ECE) – Towards Multimodal Detection of Neuronal Signaling using Graphene Heterostructures
Understanding neuronal function requires measurements that capture both the rapid dynamics and spatial organization of neural activity. Conventional neural interfaces often prioritize either high temporal resolution through electrophysiological recording or high spatial resolution through optical imaging, while integrating these modalities within a single interface remains challenging. This work seeks to develop a transparent, flexible, and […]
Thursday, September 10, 2026
No events on this day.
Friday, September 11, 2026
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Hybrid EventSeptember 11, 2026Valderrama, S. (CSE) – Closing Data Gaps for Cybersecurity AI Training and Evaluation
Valderrama, S. (CSE) – Closing Data Gaps for Cybersecurity AI Training and Evaluation
Artificial intelligence and machine learning models depend on large and diverse datasets to learn patterns across different situations and generalize to cases they have not seen before. In cybersecurity, suitable […]
Saturday, September 12, 2026
No events on this day.
Sunday, September 13, 2026
No events on this day.