Audience: Prospective Students
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Nguyen, R. (BMEB) – Development of Computational Methods for Reliable Genetic Identification of Forensic Samples
Advances in sequencing technologies have enabled the recovery of genetic data from minimal, contaminated, and highly degraded samples, overcoming long-standing barriers in forensic analysis. Nevertheless, many evidentiary samples still yield poor-quality DNA that is unconducive to PCR amplification of short tandem repeats (STRs), microarray genotyping, or deep sequencing necessary for accurate, complete genotype calls. This…
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Alatawi, A. (ECE) – Learning-Based Channel Estimation for Next-Generation Wireless Communications
Accurate Channel State Information (CSI) is critical for coherent detection, equalization, and adaptive resource allocation in modern wireless systems. Traditional estimators rely on stationary statistical models, and many learning-based methods assume training and deployment conditions are matched. In practice, these assumptions break down under user mobility and environmental dynamics, leading to degraded performance. This proposal…
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Elevator Pitch Competition
Are you ready to showcase your communication and persuasion skills? We’re excited to invite you to our Elevator Pitch Competition! Snacks provided! Deliver a 60-second pitch that wows the judges to compete for amazing prizes! Prizes: $100 Amazon Gift Card and company swag!
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Barnstorm Presents: Musical Theater Showcase
Step into the spotlight with Barnstorm’s musical theater showcase—an intimate, cabaret-style evening featuring standout performances by our talented students. From beloved Broadway tunes to hidden gems, this lively celebration of song and story is not to be missed. More info about Barnstorm here. — ADMISSION – General admission $5–$20 “Pay What You Like” – Free…
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Torres, S. (ECE) – An Integrated Platform for Real-time Monitoring and Support of 3D Tissue Growth
Organoids are three-dimensional tissue cultures that model real organs and serve as valuable tools for studying development, disease, and treatment response. Traditional methods, which rely on manual handling and incubators, limit consistency and real-time monitoring. To address these issues, we developed a modular microfluidic platform that integrates automated feeding, live fluorescence imaging, and environmental control…
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Wang, S. (CSE) – Learned Hashing and Overlay Networks for AI-native Retrieval and Serving at Scale
Modern AI systems demand low-latency high-quality retrieval and serving over billion-scale keys and vectors. This proposal studies learned hashing and overlay networks to co-locate semantically related items and steer queries with minimal coordination. We first present LEAD, to our knowledge the first use of order-preserving learned hash functions in distributed key-value overlays, enabling efficient range…
