In this paper, we present our experience integrating Rust, a memory-safe systems programming language, into an introductory database systems course project. Our findings [...]

Concurrency bugs are difficult to detect, reproduce, and diagnose, as they manifest under rare timing conditions. Recently, active delay injection has proven efficient fo [...]

Quantum neural networks, parameterized quantum circuits optimized under a specific cost function, provide a paradigm for achieving near-term quantum advantage in quantum [...]

The computing continuum describes the convergence of global compute infrastructure as network bandwidths increase. To mobilize that infrastructure, we need to create a sy [...]

Today’s data practitioners operate in an open world of data—a setting where data is vast, messy, and constantly evolving. There is no complete catalog or consistent schem [...]

Generative modeling and representation learning are core pillars of modern machine learning and computer vision. In recent years, the field has progressed from analyzing [...]

Artificial Intelligence was once seen as a net good---an engine of progress, efficiency, and creativity. That view no longer holds. Today, the unchecked rise of generativ [...]

Modern software systems are designed for high availability, resilience, and performance. Their scale, however, makes them prone to latent, complex bugs that escape in-hou [...]

Scientific machine learning offers methods of building approximate but efficient solutions to challenging tasks in scientific computing, such as simulating a physical phe [...]

In every enterprise database, administrators must define an access control policy that specifies which users have access to which tables. Access control straddles two wor [...]

In computability theory, the classical definition of a Turing machine M solving a problem requires M to always halt and always give the right answer. If we relax the “alw [...]

Clinical notes should capture important information from a physician-patient encounter, but they may also contain signals indicative of physician fatigue. Using data from [...]

In higher-order languages, a function captures its free variables in a closure, often implemented as a flat record. While this simple structure is effective, more sophist [...]

Coaxing out desired behavior from pretrained models, while avoiding undesirable ones, has redefined Natural Language Processing (NLP) and is reshaping how we interact wit [...]

Exchange-only (EO) spin qubits in quantum dots offer an expansive design landscape for engineering scalable device layouts. The study of two-EO-qubit operations, which in [...]

Engaging consumers with e-waste rather than relegating it to manufacturers.

With the explosive progress of machine learning (ML), especially recent foundation models, these advanced systems are increasingly reshaping our daily workflows across do [...]

The development of explainable artificial intelligence (AI) has become a crucial step in enhancing model transparency, robustness, and usability. This thesis explores the [...]

The proliferation of Compound AI systems, which integrate multiple models and data streams for real-time decision-making, present significant challenges in achieving low [...]

Today, a wide range of machine learning applications, including video analytics and large language model (LLM) applications, are becoming distributed. Specifically, they [...]

Foundation models, such as large language models (LLMs), operate within vector spaces, whereas human perception of concepts does not naturally align with this framework. [...]

This dissertation investigates machine learning (ML) approaches for modeling complex physical systems across multiple domains. We examine three interconnected research ar [...]

Energy-harvesting sensors utilize local, ambient energy resources to operate and thus eliminate the need for batteries. A key challenge for such systems is avoiding power [...]

As artificial intelligence systems grow increasingly powerful and influential, their design often overlooks the critical incentive structures embedded within the environm [...]

Modern computer networks generate extensive amounts of data that can benefit network research, management, and security. This data is fast-evolving, increasingly encrypt [...]