AI/ML Resource Fair

Labs in SEAS
UVA SEAS

Time: 2026-10-08, 12:00 - 13:00 ET
Location: Link Lab Arena and Zoom

Overview Continuing the success from the AI/ML resource in the past two years (see photos and posters in 2024 and 2025, we will have our third UVA AI/ML resource fair at Link Lab again this year!

The goal of the resource fair is to encourage collaboration between labs and graduate students, and for motivating undergrads to look for research opportunities. This resource fair includes posters from various labs across departments in SEAS.

Posters

• Biomedical Engineering

  PI	Presenter / Poster Title
  Merry Mani	- Mahsa Rajabi: Fast Differentiable CRLB Optimization for QTI: Gradient-Based Design of Robust Microstructural Encodings
  	- Reza Ghorbani: Regularized Joint Reconstruction and Slab Combination for AcceleratedThree-Dimensional Multi-Slab Diffusion-Weighted Imaging Using Multi-Scale Energy Models

• Civil and Environmental Engineering

  PI	Presenter / Poster Title
  Brian Park	- Austin Beigi
  Brian Smith	- Gabriela Belsol: Machine Learning Approaches for Holiday Traffic Congestion Forecasting Across Virginia’s Interstate Network
  Jon Goodall	- Savannah Lynn: Building Trustworthy AI-Assisted Stormwater Modeling Through Transparent Human-AI Collaboration

• Computer Science

  PI	Presenter / Poster Title
  Ferdinando Fioretto	- Jinhao Liang
  	- Yusuf Guven
  Hadi Daneshmand	- Alireza Jafari: Position: Temporal Measurement Interval Determines Computational and Model Complexity in Single-Cell Perturbation Analysis
  Wajih Ul Hassan	- Kelly Farran: Residue: Investigating Code Poisoning in ML Training Pipelines from Runtime Evidence
  	- Tyler Qiu and Saleha Muzammil: Hiding Copied AI Models from Fingerprint Tools
  Xi Peng	- Xi Peng
  	- Mengmeng Ma
  	- Yanlin Chen
  Yen-Ling Kuo	- Xuhui Kang: Physically Grounded Robot Learning & Human-AI Collaboration
  	- Sean Sung-Wook Lee: TBD-VLA: Temporal Block Diffusion Vision Language Action Model
  	- Rui Shen: VectorLLM: Language-Controllable Autonomous Driving via Vectorized Scene Grounding
  Yue Cheng	- Yusen Wu and Yue Cheng: LooseLeaf: Enabling Serverless GPUs for Computational Notebooks
  Zhe Zeng	- Heng Zhao
  	- Zhizhen Chen
  	- Xinpeng Wang

• Electrical and Computer Engineering

  PI	Presenter / Poster Title
  Jundong Li	- Zhenyu Lei: MolEdit: Knowledge Editing for Multimodal Molecule Language Models
  	- Zaiyi Zheng: SAPO: Step-Aligned Policy Optimization for Reasoning-Based Generative Recommendation
  	- Mingjia Shi: Saliency-Aware Multi-Route Thinking: Grounding and Reasoning on Vision-Language Agents
  Scott Acton	- Matthew Korban: Kalmanized Recursive Least Squares Attention for Streaming Video Understanding
  Tom Fletcher	- Shen Zhu, Anannya Barua, Junhao Chen: Enhancing Realism via Image-to-Image Diffusion Models,Probabilistic Riemannian CCA,Geometric Interpretability of Learned Representations
  Mathews Jacob	- Nima Yaghoobi: Low-Resolution-Conditioned Patch Diffusion for Accelerated Cardiac Cine MRI
  	- Yan Chen: Unified Motion Correction and Reconstruction for Accelerated Zero Echo Time MRI
  	- Kawsar Ahmed: D-MOD: Diffusion Mode Estimationfor Accelerated MRI
  Miaomiao Zhang	- Rishov Paul: Generative Brownian Bridge Diffusion in MotionSpace for Enhanced Myocardial Strain Analysis
  	- Nivetha Jayakumar: CalcSeg: Confidence-aware 3D Latent Context Curriculum Learning ForMyocardial Scar Segmentation From Single-Stack LGE-CMRs
  Mircea Stan	- Yimin Gao, Liangtao Dai, Junting Huo: FlexPosit: Tunable Fractional Precision for LLM Inference Accelerators

• Systems and Information Engineering

  PI	Presenter / Poster Title
  Afsaneh Doryab	- Maria Cardei
  	- Matt Clark: Human-AI Technology Lab
  	- Michelle Min-Shu Hu: Smartphone-Based Hyperspectral Reconstruction for Biochemical Compound Analysis
  Laura Barnes	- Atharv Gupta
  	- Zachary King and Indrajeet Ghosh: AdhereGraph: Theory-Guided Domain Analysis of Longitudinal Endocrine Therapy Adherence in Breast Cancer Survivors
  	- Md Sabbir Ahmed and Alejandro Alexei Vistorte Salgado