Audience: Students
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Shen, G. (CSE) – Library-Level Choreographic Programming
Modern software increasingly relies on distributed systems to provide accessible, scalable, and reliable services. Choreographic programming brings a global perspective to distributed system development: programmers write a single program that describes the behavior of a whole system, and a compiler projects that global description into local programs run by each node. By making distributed control…
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Lietz, R. (CM) – Reflecting on Failure: Designing and Evaluating Archetype Profiles as a Tool for Self-Reflection
Self-reflection holds significant potential for learning, behavior change, and emotional processing, yet designing technologies that effectively support it remains challenging, particularly when reflection involves difficult experiences such as failure. Most current technologies avoid negative experiences altogether, leaving users without support at precisely the moments when reflection could be most valuable. This dissertation investigates how technology…
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AI Trends in Project Management
Build the skills organizations need most Skilled project and program managers remain in demand across many industries as organizations seek professionals who can plan strategically, manage risks, and deliver results on time and on budget. Learn what drives successful teams and projects During this interactive online session, you’ll learn about key roles in project and…
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Xie, Y. (CM) – Crop Circles of Play: Forces and Formation in the Dyadic Magic Circle
Cooperative two-player play produces distinctive social experiences between players: intimacy, trust, cooperation, communitas. Since Huizinga, the frame within which these experiences arise has been called the Magic Circle: a temporarily-set-apart space through which play does its social work. It has been a central organizing concept across game studies, performance theory, and HCI because it points…
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Ortiz Barbosa, D. (CSE) – HARDENING AUTONOMOUS CYBER-PHYSICAL SYSTEMS AGAINST ADVERSARIAL CONDITIONS
Autonomous systems, such as Autonomous Vehicles (AVs) and drones, are increasingly deployed across a wider array of contexts for both civilian and military use. As these systems become more common, they may be targeted by malicious actors seeking to exploit and abuse them, compromising safety-critical operations. Among the ways to protect these systems simulation based…
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Carrión, H. (CSE) – Deep Learning Algorithms for Medical Image Representation Learning and Understanding
AI-assisted clinical decisions in medicine, and particularly in dermatology, demand fine-grained understanding across diverse skin tones, body sites, and disease types, yet expert-annotated datasets are scarce, demographically imbalanced, and almost devoid of rare presentations. This dissertation develops four deep learning systems for this low-label, low-coverage regime. We introduce HealNet, which learns wound healing stages from…
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Sheaves, T. (CSE) – Timing Side-Channels in Commercial ReRAM: Toward ReRAM Pentimenti
Recently, a class of non-invasive hardware side-channel attacks has been discovered in field-programmable gate arrays (FPGAs). These attacks extract remnants of prior users’ activity that persist as transistor defect states within reconfigurable routing resources. These remnants are known as FPGA Pentimenti. Resistive random-access memory (ReRAM) is a compelling candidate for pentimenti-like attacks beyond FPGAs. However,…
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Kim, C. (CSE)- Toward Adaptive Graph Processing and Fault-Tolerant Agentic Inference on Heterogeneous Distributed Systems
Edge computing and distributed AI systems increasingly operate under heterogeneous resources, dynamic workloads, and frequent failures, requiring both adaptivity and fault tolerance for efficient execution. In heterogeneous edge clusters, nodes differ significantly in CPU throughput, memory capacity, and network bandwidth, while modern distributed GPU clusters supporting agentic LLM inference must recover large amounts of runtime…
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Social Services & Health Opportunities with Aspiranet
Get hired for a social services or health related job! Aspiranet, a Californian, public services nonprofit will answer questions, talk about career advancement in social services, and share how you can help move Hope Forward in your community. Aspiranet has become one of California’s largest and most successful social service organizations. Aspiranet is a 501…
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Oh, S. (CSE) – Efficient Instruction Supply for Datacenter Processors
Modern datacenter CPUs lose 25–66% of execution cycles to instruction-delivery stalls. This bottleneck persists, despite the recent trend towards accelerators and GPUs, as there is continuing demand by applications that only execute on CPUs. Two workload classes dominate today’s datacenter execution cycles: hyperscale server software (databases, build systems, and content stores), whose large instruction footprints…