Week of Events
Monday, May 25, 2026
No events on this day.
Tuesday, May 26, 2026
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Virtual EventMay 26, 2026Chou, Y. (CM) – Exploring Future AI-Mediated Health Creator–Audience Interactions on Social Media: Transparency, Care, and Accountability
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Hybrid EventMay 26, 2026Weber, Z. (ECE) – Sustainable Bioinspired Polymer–Mineral Composites for Adaptable Repair in Conservation Applications
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Hybrid EventMay 26, 2026Harsh, B. (CSE) – SUPERSCALAR, MULTIPLE TAKEN BRANCH PREDICTOR
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Hybrid EventMay 26, 2026Castro, S. (CSE) – Agentic AI for Security: Adversarial Foundations for Autonomous Cyber Operations
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Virtual EventMay 26, 2026Liu, P. (CM) – Reimagining Workplace Concern Reporting: From Emotional Harm to Co-Designed Futures
Chou, Y. (CM) – Exploring Future AI-Mediated Health Creator–Audience Interactions on Social Media: Transparency, Care, and Accountability
Health and wellness content creators play an important role in shaping how people receive and engage with health information on social media. Beyond delivering information, they also convey care, build trust, and sustain relationships with audiences. As generative AI (GenAI) becomes increasingly integrated into creator work, existing research has examined AI disclosure, AI-mediated communication, and […]
Weber, Z. (ECE) – Sustainable Bioinspired Polymer–Mineral Composites for Adaptable Repair in Conservation Applications
Every year, tens of thousands of tons of plaster-based materials are used in restoration and conservation applications, many of which are derived from non-renewable sources and discarded at the end of their service life. Here, we introduce a biodegradable, bio-derived composite based on chitosan and calcium carbonate that is composed of simple, widely available constituents […]
Harsh, B. (CSE) – SUPERSCALAR, MULTIPLE TAKEN BRANCH PREDICTOR
This work addresses improvements in branch prediction mechanism to support high perfor- mance processors. The state of the art aims to balance the prediction latency and prediction accuracy using multi level correcting predictors . Prior published work focusses on scalar designs and prediction accuracy improvement for hard to predict branches employing tailor made, non generic […]
Castro, S. (CSE) – Agentic AI for Security: Adversarial Foundations for Autonomous Cyber Operations
Autonomous Cyber Operations (ACO) agents promise effective security automation with minimal human intervention, yet their deployment raises three interconnected challenges: agents must be realistic (reproducing diverse attacker sophistication), secure (preventing autonomy from becoming an attack surface), and feasible (safely replicating human behavior at full autonomy). We argue that these three properties are requirements for ACO […]
Liu, P. (CM) – Reimagining Workplace Concern Reporting: From Emotional Harm to Co-Designed Futures
Workplace concern reporting infrastructure, including human resources (HR) portals, grievance procedures, and whistleblower hotlines, is the formal channel through which employees in most organizations raise concerns about harassment, discrimination, and retaliation. Yet existing research consistently finds that these systems fail the employees they are meant to protect: reports stall, concerns get filtered, retaliation occurs, and […]
Wednesday, May 27, 2026
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Virtual EventMay 27, 2026Baskaran, D. (CM) – More than Just Fun: Exploring Meaningful Play, Communities of Play, and Relatedness of Play
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Virtual EventMay 27, 2026Tu, H. (CSE) – From Evaluation to Adaptation: Building Reliable Multimodal Intelligence
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Virtual EventMay 27, 2026Zheng, Y. (CSE) – Extending eBPF Beyond Kernel Extensions: Verified Interfaces for Runtime System Extensibility
Baskaran, D. (CM) – More than Just Fun: Exploring Meaningful Play, Communities of Play, and Relatedness of Play
Play is often seen as a form of entertainment, leisure, or childhood development. However, it also acts as a meaningful experience that shapes how people connect with others and interact with the world around them throughout their lives. Prior work on meaningful play and communities of play has mainly focused on individual experiences and participation, […]
Tu, H. (CSE) – From Evaluation to Adaptation: Building Reliable Multimodal Intelligence
Multimodal large language models (MLLMs) are rapidly becoming general-purpose AI systems, yet their capabilities are advancing faster than our ability to evaluate, improve, and validate their reliability in realistic use. Standard benchmarks mainly measure in-distribution final-answer accuracy, leaving critical gaps in safety, robustness, fine-grained reasoning evaluation, and reliability in real-world agentic settings. My research proposes […]
Zheng, Y. (CSE) – Extending eBPF Beyond Kernel Extensions: Verified Interfaces for Runtime System Extensibility
Modern system software increasingly needs runtime extensibility: userspace applications need safe ways to expose domain-specific extension points, GPU resource management needs workload-specific memory and scheduling policies, and kernel eBPF JIT compilers need different runtime optimizations as workloads and hardware vary. However, built-in policies are safe but difficult to specialize across rapidly changing workloads and hardware […]
Thursday, May 28, 2026
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Hybrid EventMay 28, 2026Oh, S. (CSE) – Efficient Instruction Supply for Datacenter Processors
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May 28, 2026Ortiz Barbosa, D. (CSE) – HARDENING AUTONOMOUS CYBER-PHYSICAL SYSTEMS AGAINST ADVERSARIAL CONDITIONS
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Hybrid EventMay 28, 2026Yang, D. (CSE) – Inner Monologue: a Pathway to Human-Like Reasoning for Complex Tasks
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 […]
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 […]
Yang, D. (CSE) – Inner Monologue: a Pathway to Human-Like Reasoning for Complex Tasks
A central goal on the path toward general AI is to build systems capable of deliberative reasoning before action. Such systems should inspect what they know, identify what they need, seek or construct useful information, and revise their reasoning through intermediate cognitive states. This dissertation studies this goal through the lens of Inner Monologue (IM), […]
Friday, May 29, 2026
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Virtual EventMay 29, 2026Zhou, K. (CSE) – Toward Safer Frontier AI: From Evaluation and Red-Teaming to Alignment and Oversight
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Virtual EventMay 29, 2026Qureshi, A. (ECE) – ISoC: A Universal Impedance Spectroscopy Instrument-on-Chip in SKY130 130 nm CMOS
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Hybrid EventMay 29, 2026Zhu, R. (ECE) – From Neuromorphic Principles to Efficient Neural Language Architectures
Zhou, K. (CSE) – Toward Safer Frontier AI: From Evaluation and Red-Teaming to Alignment and Oversight
This dissertation investigates how to make modern AI systems safer as they grow more capable. It addresses two central sources of risk: malicious misuse, in which adversarial users coerce models into harmful behavior, and internal misalignment, in which models themselves pursue goals that diverge from human intent through deception, sandbagging, or other covert behaviors. The […]
Qureshi, A. (ECE) – ISoC: A Universal Impedance Spectroscopy Instrument-on-Chip in SKY130 130 nm CMOS
Electrochemical impedance spectroscopy (EIS) is the workhorse measurement behind lithium-ion battery diagnostics, biosensing, and corrosion science — yet no integrated circuit has ever delivered the complete capability of a benchtop analyzer on a single die. This dissertation presents ISoC, the first universal Impedance Spectroscopy instrument-on-chip. Designed in SkyWater 130 nm CMOS process, ISoC supports all […]
Zhu, R. (ECE) – From Neuromorphic Principles to Efficient Neural Language Architectures
This dissertation investigates how neuromorphic and brain-inspired principles can guide the design of efficient neural language architectures. It addresses two central limitations of modern Transformer-based language models: memory growth with context length and high computational cost from dense matrix multiplication. Through studies of spiking neural networks, linear-recurrent language models, hybrid attention architectures, MatMul-free models, and […]
Saturday, May 30, 2026
No events on this day.
Sunday, May 31, 2026
No events on this day.