Upcoming Events
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SHiDM: Skiplist-Based Efficient Disaggregated Memory with Hybrid Delegation (April 31)
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…
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Mobile Computing Demo Showcase (April 9)
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…
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FSU CS Expo 2026 (April 10)
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…
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Computer Science Student Seminars (Feb 3rd – Semester End)
Dear Colleagues and CS Graduate Students, We are excited to announce that our computer science Student Seminars at Florida State University are starting again this spring semester! This weekly seminar series provides a great opportunity for students to share their…
Past Events
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iCR: Intent-Driven Checkpoint/Restart (Mar 10)
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.…
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ATOMIC: Attention Reallocation to Mitigate Irrelevant Context in Small Language Models (Mar 3)
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…
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Robust Machine Learning on the Edge (Feb 27)
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…
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ReAD: Reinforcement-Guided Capability Distillation (Feb 24)
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…
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Deep Learning for 3D Scene Modeling & AI-Enhanced Healthcare (Feb 20)
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…
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Mine of the Future: Machine Learning and Cybersecurity for Situation-awareness and Safety (Feb 16)
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…
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Silhouette: Leveraging Consistency Mechanisms to Detect Bugs in Persistent Memory-Based File Systems (Dec 5)
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…
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Routing in Modern AI Systems: A Multi-Level Perspective Across Language and Vision Models (Nov 21)
Speaker: Shangqian Gao | Date: Nov 21, 2:15 PM – 3:05 PM | Abstract: Routing has emerged as a fundamental mechanism for enabling efficiency, specialization, and adaptive computation in modern AI systems…
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From Signals to Graphs: Recent Advances in EEG Representation Learning (Nov 18)
Speaker: Yuyang Dai | Date: Nov 18, 11:45 AM – 12:45 PM | Abstract: Electroencephalography (EEG) has long served as a powerful tool for understanding human brain activity, yet traditional signal-based analysis struggles to capture the complex, dynamic, and non-Euclidean…
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Reinforcement Learning for Micro-architectural Attack and Defense (Nov 14)
Speaker: Mulong Luo | Date: Nov 14, 2:15 PM – 3:05 PM | Abstract: Securing modern computer systems against an ever-evolving threat like micro-architectural attacks is a significant challenge that requires innovative approaches…