AI/ML Resource Fair

Labs in SEAS
UVA SEAS

Time: 2025-10-10, 12:00 - 13:00 ET
Location: Link Lab Arena and Zoom

Overview Continuing the success from the first AI/ML resource last year (see photos and previous posters), we will have our second 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.

Please RSVP here by Sep 24: RSVP link

Posters

• Biomedical Engineering

  PI	Presenter / Poster Title
  Gustavo Rohde	- Naqib Pathan: Modeling and classifying high dimensional point cloud distributions
  Tom Barker	- Tom Barker

• Civil and Environmental Engineering

  PI	Presenter / Poster Title
  Lisa Colosi Peterson	- Mehran Akrami
  	- Anika Rekulapelli

• Computer Science

  PI	Presenter / Poster Title
  Chen-Yu Wei	- Braham Snyder: HANQ: Hypergradients, Asymmetry, and Normalization for Fast and Stable Deep -Learning
  	- Chen-Yu Wei: Understanding the Collusion of Independent Q-Learners in Repeated Prisoner’s Dilemma
  	- Chen-Yu Wei: On The Complexity of Interactive Decision Making
  Yen-Ling Kuo	- Xuhui Kang: Building Interactive Robots that Understand Physical Constraint
  	- Sean Sung-Wook Lee: Robot Learning from Humans
  	- Rui Shen & Yufeng Gao: Learning to Drive with Human-AI Communication
  Yue Cheng	- Yue Cheng
  	- Zirui Wang
  	- Tingfeng Lan
  Zhe Zeng	- Zhe Zeng: Trustworthy AI through Knowledge and Optimization (TAKO🐙) Lab Overview

• Electrical and Computer Engineering

  PI	Presenter / Poster Title
  Homa Alemzadeh	- Keshara Weerasinghe: CognitiveEMS: Real-Time Multimodal Cognitive Assistant for Emergency Medical Services
  Miaomiao Zhang	- Swakshar Deb: Unsupervised Cardiac Video Translation via Motion Feature Guided Diffusion Model
  	- Nian Wui: IGG: Image Generation Informed by Geodesic Dynamics in Deformation Spaces
  Mircea Stan	- Mircea Stan
  	- Yimin Gao: MixPosit: Unified Precision-Scalable Bit-Serial Acceleration with Posit Quantization Co-Design for LLM Inference
  	- Melika Morsali: Towards Efficient AI Hardware
  Scott Acton	- Soumee Guha
  	- Jonathan McGee
  	- Nitya Khamar
  Tom Fletcher	- Yinzhu Jin: Feature Attribution for Deep Learning Models through Total Variance Decomposition
  	- Shen Zhu: RealDeal: Enhancing Realism and Details in Brain Image Generation via Image-to-Image Diffusion Models
  	- Tyler Spears

• Material Science and Engineering

  PI	Presenter / Poster Title
  Prasanna V. Balachandran	- Shunshun Liu: Expert-Grounded Automatic Prompt Engineering for Information Extraction from Scientific Publication
  	- Ankita Biswas

• Systems and Information Engineering

  PI	Presenter / Poster Title
  Hongru Du	- Hongru Du: Du’s Lab Overview
  Laura Barnes	- Arafat Rahman: Skeleton and Ultrasound-Based Multimodal Modeling for Predicting Upper Limb Disease Severity Progression in Neuromuscular Disorders
  	- Fangxu Yuan: Multimodal Sensing and AI Modeling of Endocrine Therapy Adherence in Breast Cancer Survivors
  Robert Riggs	- Constanza Lorca