The Unwritten Curriculum: Lessons from a 25-Year Journey in Tech, Research, and AI (Oct 10th)
Published: | 10:27 am | Posted in: Events
Speaker: Dr. Sanjay Agravat Date: Oct 10, 1:00pm – 2:00 pm Bio: Originally from Tallahassee, Florida, Dr. Sanjay Agravat is a Staff Software Engineer at Google with a 25-year career spanning academic research, teaching, and software engineering, residing in Atlanta, Georgia…
Model Extraction Attack and Defense for Large Language Models (Oct 7th)
Published: | 12:41 pm | Posted in: Events
Speaker: Lican (Kelsey) Li Date: Oct 7, 11:45am – 12:45 pm Abstract: Model extraction attacks pose significant security threats to deployed language models, potentially compromising intellectual property and user privacy…
A Distributed and Scalable Approach for Global Representation Learning with EHR Applications
Published: | 11:54 am | Posted in: Events
Speaker: Zebin Wang Date: Sept 30, 11:45 am – 12:45 pm Abstract: Classical probabilistic graphical models face fundamental challenges in modern data environments, which are characterized by high dimensionality, source heterogeneity, and stringent data-sharing constraints.
Societally-Aware Autonomy: Games, Control, and Infrastructure for the Next Generation of Mobility Systems
Published: | 11:03 am | Posted in: Events
Speaker: Ruolin Li Date: Sept 26, 2:15 – 3:05 pm Abstract: Autonomous vehicles (AVs) offer unprecedented opportunities to reshape transportation systems by enabling fine-grained control, real-time adaptability, and proactive system-wide coordination…
Dr. Grigory Fedyukovich has a paper accepted at OOPSLA
Published: | 7:42 am | Posted in: News
Dr. Grigory Fedyukovich has a paper accepted at OOPSLA Dr. Grigory Fedyukovich has a paper accepted at the 2025 ACM SIGPLAN Conference on Object-Oriented Programming, Systems, Languages & Applications (OOPSLA). The paper, titled “A Flow-Sensitive Refinement Type System for Verifying eBPF Programs”, is co-authored by PhD students Ameer Hamza and Lucas Zavalia. The paper presents […]
Dr. Shayok Chakraborty has a paper accepted at EMNLP 2025
Published: | 12:01 pm | Posted in: News
Dr. Shayok Chakraborty has a paper accepted at EMNLP 2025 Dr. Shayok Chakraborty has a paper accepted at the Empirical Methods in Natural Language Processing (EMNLP) Findings 2025, a top tier conference in NLP. The paper is titled “MediVLM: A Vision Language Model for Radiology Report Generation from Medical Images”. All the authors of this […]
Unleashing the Power of Graph-Based Machine Learning as a Service
Published: | 8:01 am | Posted in: Events
Speaker: Yushun Dong
Date: Sep 5, 2:15 – 3:05 pm
Abstract: The exponential growth of graph-structured data has created an unprecedented demand for graph learning capabilities across industries, yet domain experts face formidable barriers: massive computational requirements, prohibitive model costs, and complex infrastructure management.
LoRa and Low Earth Orbit (LEO) Satellite Networks
Published: | 8:15 am | Posted in: Events
Speaker: Zhenghao Zhang
Date: Aug 29, 2:15 – 3:05 pm
Abstract: LoRa has emerged as one of the main candidates for connecting low-power wireless IoT devices. Low Earth Orbit (LEO) satellite networks have also been growing very rapidly in recent years.
FSU students from Dr. Gubanov’s lab presented at the IEEE International Conference on Data Engineering (ICDE)
Published: | 11:11 am | Posted in: News, Student Recognition
A paper led by FSU students from Dr. Gubanov’s lab was presented at the IEEE International Conference on Data Engineering (ICDE), one of the leading venues in Data Science. The paper titled “Scalable Tabular Hierarchical Metadata Classification in Heterogeneous Structured Large-scale Datasets using Contrastive Learning,” led by FSU graduate students Bhim Kandibedala and Gyanendra Shrestha, along […]
Dr. Guang Wang has a paper accepted by KDD 2025
Published: | 7:29 pm | Posted in: News
Dr. Guang Wang has a paper accepted by KDD 2025 Dr. Guang Wang, an Assistant Professor in the Computer Science Department, and his recent research has been published by The 2025 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2025) Applied Data Science track. The acceptance rate is 22%. This research paper […]