Audience: Students
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Resume and Cover Letter Workshop
Having a fantastic resume and cover letter are the first steps towards securing a great job or internship. Join us for this informative workshop to learn current best practices for creating or updating your resume and cover letter. Topics include: Tailoring your resume to the job description Formatting tips Creating impactful bullet points Writing a…
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Interview Preparation Workshop
Join Career Success for an interactive workshop on Interview Best Practices, followed by Mock Interview Practice! Note: You must Register via Zoom for this event. Once registered, make sure to add the event to your calendar. We will provide captions for the presentation. If you have disability-related needs, please contact the Career Success office at [email protected] as…
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Networking Strategies and Building Your Professional Brand
Networking and personal branding go hand-in-hand, and in today’s highly competitive job market, these things are more critical than ever! Join us for an interactive workshop that provides actionable, real-world strategies to help you get started on building a powerful personal brand, optimizing your digital presence, and potentially converting networking into career opportunities, both in-person…
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Essential and Effective Job Search Skills
Join us for the first workshop in a 4-part series this summer! This relevant and informative workshop will cover a broad overview of many essential skills and tools to set you up for success in your job search – everything from “What do I want to look for?” to “What are the best tools to…
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Levine, R. (CSE) – Validating GPU Memory Consistency and Safety at Scale
Graphics Processing Units (GPUs) have become essential platforms for parallel computing, supporting applications far beyond graphics. Central to GPU programming models is its memory consistency specification (MCS), which defines the semantics of concurrent shared-memory operations and interacts with other language features to determine security guarantees such as memory safety. Understanding whether implementations conform to an…
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Burbano, L. (CS) – Security of autonomous decision-making agents: From control systems to embodied AI
Due to their increasing complexity, autonomous decision-making agents rely on increasingly advanced algorithms, from classical control theory to reinforcement learning (RL) and, more recently, large vision-language models. While these algorithms help automate the decision-making in complex systems, they bring newer attack vulnerabilities that an adversary can exploit. In this dissertation, we study the security of…
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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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Tang, M. (STAT) – Bayesian Modeling and Scalable Inference for Count Time Series in Infectious Disease Surveillance
Real-time monitoring of infectious disease outbreaks calls for statistical models that recover interpretable quantities such as the time-varying reproduction number from noisy count data, track posterior uncertainty, and run on time scales compatible with daily updates. Existing methods address these aims through separate model classes. Discretized Hawkes processes, Poisson autoregressions, and distributed lag models each…
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Wang, Z. (CSE) – From Static Alignment to Adaptive Safety: Toward Reliable and Capable AI Systems
Modern AI systems are rapidly moving beyond static text generation toward capable models and agents that reason, use tools, store memories, and update persistent state, yet safety methods still often assume a fixed model whose behavior can be controlled by output-level refusal. This leaves critical gaps in understanding why aligned models fail under adversarial pressure,…
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Designing for Today’s Digital World
Design digital experiences people love to use. In today’s rapidly evolving tech landscape, organizations need professionals who can combine empathy, usability, and aesthetics to create interfaces that engage and delight users. Learn how UX and web design specialists use research‑driven methods, prototyping tools, and inclusive design principles to build seamless digital experiences across platforms. Speaker…