SHiDM: Skiplist-Based Efficient Disaggregated Memory with Hybrid Delegation (April 31)
Published: | 10:36 am | Posted in: Events
Speaker: Joydhriti Choudhury Date: March 31, 11:45 – 12:45 pm Abstract: Disaggregated memory (DM) architectures separate compute from memory resources and enable flexible scaling and improving memory utilization. DM indexing techniques have been developed with hash-based, B+/radix-tree-based, LSM-tree- based, and learned/hybrid indexes. Skiplists offer an appealing alternative that is highly concurrent and scalable for building […]
Mobile Computing Demo Showcase (April 9)
Published: | 2:11 pm | Posted in: Events
Mobile Computing Demo Showcase Hosted by the Mobile Computing Group at FSU Date April 9, 2025 Time 1:00 PM – 4:00 PM Location Innovation Hub We are excited to invite you to the Mobile Computing Demo Showcase! This event features a series of interactive demos exploring emerging technologies in: AI & Intelligent Systems Wearable Sensing […]
FSU CS Expo 2026 (April 10)
Published: | 3:23 pm | Posted in: Events
Friday, April 10, 2026 · 8:30 AM – 5:30 PM · Love 353 FSU CS Expo 2026 is a department-wide event that brings together students, faculty, alumni, and guests to celebrate research, share ideas, and build connections across the computer science community. The expo features poster presentations, invited talks, graduate research presentations, and opportunities to […]
iCR: Intent-Driven Checkpoint/Restart (Mar 10)
Published: | 9:50 am | Posted in: Events
Speaker: Olga Kogiou Date: March 10, 11:45 – 12:45 pm Abstract: High Performance Computing applications have evolved from monolithic simulations to interdependent tasks that form heterogeneous workflows. These workflows rely on Checkpoint/Restart (C/R) mechanisms to enable continuity in their execution. However, the workflow heterogeneity demands adaptability from the underlying C/R solution. Our examination reveals that, […]
ATOMIC: Attention Reallocation to Mitigate Irrelevant Context in Small Language Models (Mar 3)
Published: | 12:28 pm | Posted in: Events
Speaker: Bolin Shen Date: March 3, 11:45 – 12:45 pm Abstract: Small language models have recently gained increasing attention due to their strong cost efficiency, computational efficiency, and competitive performance across a wide range of reasoning tasks. However, when reasoning inputs contain irrelevant context, SLMS are substantially more vulnerable to distraction than large language models, […]
Robust Machine Learning on the Edge (Feb 27)
Published: | 9:09 am | Posted in: Events
Speaker: Stratis Ioannidis Date: Feb 27, 11:15 – 12:15 pm Abstract: Adversarial robustness, i.e., the ability of a machine learning (ML) algorithm to maintain its predictive power under input perturbations, is an important property for many safety-critical applications. It is even more important in edge deployments of ML algorithms, where inference is performed in a […]
ReAD: Reinforcement-Guided Capability Distillation (Feb 24)
Published: | 10:58 am | Posted in: Events
Speaker: Xueqi Cheng Date: Feb 24, 11:45 – 12:45 pm Abstract: Knowledge distillation (KD) compresses a large model into a smaller one that preserves the capabilities needed for a downstream task, yet existing methods assume that capabilities can be optimized independently…
Deep Learning for 3D Scene Modeling & AI-Enhanced Healthcare (Feb 20)
Published: | 9:53 am | Posted in: Events
Speaker: Andy Duan Date: Feb 20, 11:45 – 12:45 pm Abstract: 3D scene modeling is fundamental in many applications including Virtual Reality, Augmented Reality, Autonomous Driving, Robotics, Telehealth, etc. In this talk, I will first discuss some of our recent works in 3D scene modeling including: 1) PanoDepth: a deep learning based omnidirectional depth estimation […]
Mine of the Future: Machine Learning and Cybersecurity for Situation-awareness and Safety (Feb 16)
Published: | 10:44 am | Posted in: Events
Speaker: Sanjay K Madria Date: Feb 16, 11:15 – 12:15 pm Abstract: Mining industry is rapidly transforming into an AI driven cyber-physical ecosystem where safety and operational reliability depend on robust perception and trustworthy distributed intelligence and continuous monitoring of miners and the environment.
Silhouette: Leveraging Consistency Mechanisms to Detect Bugs in Persistent Memory-Based File Systems (Dec 5)
Published: | 1:30 pm | Posted in: Events
Speaker: An-I Andy Wang Date: Dec 5, 2:15 – 3:05 pm Abstract: The emergence of persistent memory (PM), with its non-volatile and byte-addressable characteristics, has led to a novel storage programming paradigm. However, PM programs need to flush stores from CPU caches and correctly order them to avoid inconsistencies after a crash. As a result, […]