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Latest News
2025 Nov
🎓 Anthony passed thesis proposal!
2025 Nov
🎓 Ben passed thesis proposal!
2025 Oct
🎓 Seongmin passed thesis proposal!
2025 Aug
2025 Aug
🎉 Ben's Epanechnikov Associative Memory paper accepted as 🎖️Spotlight to NeurIPS'25 main conference!
2025 May
2025 May
👏 Alec's ConceptAttention accepted as an oral paper by ICML'25 (top 1 %), and won Best Paper at CVPR'25 VisCon Workshop!
2025 Apr
👏 Matthew's RenderBender survey accepted by IJCAI'25!
2025 Apr
🎓 Dr. Austin Wright defended his ML PhD dissertation!
2025 Apr
👏 Ben will present a tutorial on Associative Memories at ICML'25!
Human-Centered AI
Safe, interpretable, trustworthy AI, through interactive intelligent visualization, with applications in adversarial machine learning (protecting AI from harm and doing harm), scalable discoveries of deep learning models, and advancing AI education for students and educators.
Dynamic Safety Shaping
Token-Level Guardrail Signals to Reliably Reduce Safety Risks During LLM Finetuning
Meta, IBM
Undream
Bridging Differentiable Rendering and Photorealistic Simulation for End-to-end Adversarial Attacks
TII
LitForager
Exploring Multimodal Literature Foraging Strategies in Immersive Sensemaking
TVCG Journal
Adobe
Epanechnikov Associative Memory
Epanechnikov kernels unlock an explosion of creativity in Dense Associative Memories
IBM, UC Davis, Harvard
Interpretation Meets Safety
First survey bridging AI interpretation and AI safety
Main Conference
3DGS Vulnerabilities
3D Gaussian splats easily attacked
TII
ConceptAttention
Visualize any concept in generated images
Oral, Top 1%
Best Paper, CVPR VisCon Workshop
IBM, Virginia Tech
RenderBender
A Survey on Adversarial Attacks Using Differentiable Rendering
TII
Semi-Truths
A Large-Scale Dataset of AI-Augmented Images for Evaluating Robustness of models
LLM Attributor
Attribute LLM's Generated Text to Training Data
Google
Nested Fusion
Learn High-Res Latent Structure of Multi-Scale Data on Mars
KDD Best Paper, Runner-Up
Deployed
NASA
CRAYON
Effective Guidance for Model Attention with Simple Yes-no Annotations
Cisco
DrDAM
Decouples parameter count and memory capacity in Dense Associative Memories
IBM
LLM Safety Landscape
A new "safety basin" phenomenon and a novel metric to measure LLM finetuning safety
IBM
UniTable
A unified table foundation model
Merged into Open-Parase, a popular RAG toolkit
ADP
Transformer Explainer
Learn How Transformer Models Work with Interactive Visualization
VIS Best Poster
Went Viral
ClickDiffusion
Precise image editing with LLMs!
Mobile Fitting Room
On-device virtual try-on with diffusion models.
MeMemo
Vector search in your browser!
ARCollab
Collaborative Cardiovascular Surgical Planning in Mobile AR
Wordflow
Social and customizable AI writing assistant!
Table Structure Recognition Transformer
High-Performance Transformers for TSR Need Early Convolutions.
Oral
ADP
Memory in Plain Sight
Diffusion Models and Associative Memories are strikingly similar.
IBM
Revamp
Automated Simulations of Adversarial Attacks on Arbitrary Objects in Realistic Scenes
Intel
LLM Self Defense
LLM's can filter out harmful content produced by themselves!
Deployed
Intel
VisGrader
Automatic Grading for D3.js Visualizations
Deployed
Energy Transformer
An energy-based Associative Memory that works like a Transformer with MUCH fewer and more interpretable parameters.
IBM
Robust Principles
A suite of generalizable robust architectural design principles
Best Poster
#1 on RobustBench CIFAR-10 leaderboard
Intel
ConceptEvo
A unified interpretation framework to reveal the evolution of concepts during DNN training
ManimML
Make animations of ML architectures using only Python code!
VIS Best Poster
Went Viral
Diffusion Explainer
Learn how Stable Diffusion transforms your text prompt into image!
Went Viral
WizMap
Explore and Interpret Large Embeddings!
Apple
SuperNOVA
Designing Visualizations for Computational Notebooks!
WebSHAP
Explain Any Machine Learning Models Anywhere!
GAM Coach
Personal Coach to Help You Obtain Desired AI Decisions!
Microsoft Research
SkeleVision
Towards Adversarial Resiliency of Person Tracking with Multi-Task Learning
DiffusionDB
A Large-scale Prompt Gallery Dataset for Text-to-Image Generative Models
ACL Best Paper, Honorable Mention
Went Viral
MisVis
Explaining Website Reliability by Visualizing Hyperlink Connectivity
AVAST Software
Visual Auditor
Interactive Visualization for Detection and Summarization of Model Biases
Fiddler AI
CardiacAR Evaluation
Evaluating Cardiovascular Surgical Planning in Mobile Augmented Reality
Children's Healthcare of Atlanta, Duke University
TimberTrek
Curating Decision Trees that Align with Human Knowledge
Duke University, University of British Columbia, Fujitsu Lab
NOVA
Easy Way to Create Notebook-ready Visual Analytics
GAM Changer
Edit ML Models to Reflect Human Knowledge and Values
Best Paper Award, NeurIPS'21 Workshop
Deployed
Microsoft Research
DetectorDetective
Visualize Adversarial Examples on Object Detectors
VisCUIT
Visual Auditor for Bias in CNN Image Classifier
StickyLand
Breaking the Linear Presentation of Computational Notebooks
Went Viral
MisVis
Explaining Web Misinformation Connections via Visual Summary
AVAST Software
TIGER
Python toolbox to study graph vulnerability and robustness
Featured in Nvidia Data Science Toolkit
MalNet-Graph
Largest graph representation learning database
Oral Presentation
Facebook AI, Microsoft
Autograde-Viz
Automatic Grading of D3.js Visualizations
VIS Best Poster
Deployed
Argo Scholar Tool and Evaluation
Interactive Visual Exploration of Literature in Browser
Deployed
Argo Scholar Evaluation
Evaluation of Argo Scholar with Observational Study
Deployed
Argo Scholar Preliminary Tool
Interactive Visual Exploration of Literature in Browser
VIS Best Poster, Honorable Mention
Deployed
TrafficVis
Fighting Human Trafficking through Visualization
VIS Best Paper, Honorable Mention
VIS Best Poster, Honorable Mention
NeuroCartography
Scalable Automatic Visual Summarization of Concepts in Deep Neural Networks
Top VIS paper invited to SIGGRAPH
Dodrio
Exploring Transformer Models with Interactive Visualization
Accent Pretraining
Robust Accented Speech Recognition with Adversarial Transfer Learning
Amazon AWS AI
CardiacAR
Cardiovascular Surgical Planning via Augmented Reality
Children's Healthcare of Atlanta
EnergyVis
Interactively Tracking and Exploring Energy Consumption for ML Models
Human-in-the-Loop NLP
Putting Humans in the Natural Language Processing Loop: A Survey
MalNet-Image
Largest binary image database to date
SkeletonVis
Understanding Adversarial Attacks on Human Action Recognition Models
Intel
AI Guidelines
Survey of Industry AI Design Guidleines
UnMask
Protecting deep learning through robust feature alignment
Communicating with Interactive Articles
Examining interactive article design by synthesizing theory from education, journalism, and visualization
CNN Explainer
Learning Convolutional Neural Networks with Interactive Visualization
Top VIS paper invited to SIGGRAPH
Went Viral
GOGGLES
Automatic Image Labeling with Affinity Coding
Bluff
Interactive Interpretation of Adversarial Attacks on Deep Learning
Chameleon
Understanding and Visualizing Data Iteration in Machine Learning
Apple
CNN 101
Interactive Visual Learning for Convolutional Neural Networks
RECAST
Interactive Auditing of Automatic Toxicity Detection Models
Massif
Interactive Interpretation of Adversarial Attacks on Deep Learning
Summit
Attribution Graph for Interpreting Deep Learning Models at Scale
FairVis
Visual Analytics for Discovering Intersectional Bias in Machine Learning
Gamut
Understanding How Data Scientists Understand Machine Learning Models
Microsoft Research
PeopleMap
Mapping Out Researchers using Natural Language Processing
VAST Best Poster Research, Honorable Mention
Magic Crop
Cropping Headshot Photo with AI
ActiVis
Visual Exploration of Facebook Deep Neural Network Models
Top VIS paper invited to SIGGRAPH
Went Viral
Deployed
Facebook
GAN Lab
Playing with Generative Adversarial Networks in Browser
Went Viral
Google
Visual Analytics in Deep Learning
An Interrogative Survey for the Next Frontiers
TeleGam
Combining Visualization and Verbalization for Interpretable Machine Learning
Microsoft Research
NeuralDivergence
Exploring and Understanding Neural Networks by Comparing Activation Distributions
Discovering Intersectional Bias
Discovery of Intersectional Bias in Machine Learning Using Automatic Subgroup Generation
SHIELD
Fast, practical defense for deep learning
Audience Appreciation Award, Runner-up
Intel
ShapeShifter
1st Targeted Physical Attack on Faster R-CNN Object Detector
DARPA Spotlight
Intel
ShapeShop
Understand Deep Learning via Interactive Experimentation
PNNL
The Beginner's Guide to Dimensionality Reduction
Best Paper, Honorable Mention
Protect AI with JPEG
Simple, powerful defense for deep learning
Intel
Interactive Classification
For Deep Learning Interpretation
ADAGIO
Interactive experimentation with adversarial attack and defense for audio
Intel
ML Cube
Visual Exploration of Machine Learning Results Using Data Cube Analysis
Facebook
Mixed Reality
MR for Learning Programming
Best Work-in-Progress, Honorable Mention
Augmenting Coding
AR for Learning Programming
Best Poster
Large Network Visualization
Argo Lite
Interactive Graph Visualization in Browser
Used by 6000+ students
Deployed
Atlas
Local Graph Exploration in a Global Context
VIGOR
Interactive Visual Exploration of Graph Query Results
Symantec
Graph Playground
Graph Decompositions in 3D
Carina
Million-scale Graph Visualization in Web Browsers
VISAGE (demo)
Interactive Visual Graph Querying
Best Demo, Runner-up
FACETS
Adaptive graph exploration
ETable
Interactive Browsing and Navigation in Relational Databases
VISAGE
Interactive Visual Graph Querying
Scalable Graph Exploration & Visualization
A survey
TourViz
Interactive Visualization of Connection Pathways in Large Graphs
Apolo
Explore million-node graphs in real time
GLO-STIX
Graph-Level Operations for Specifying Techniques and Interactive eXploration
BubbleNet
Multi-resolution Large Graph Exploration
NaturalMotion
Exploring Gesture Controls for Visualizing Time-Evolving Graphs
Scalable Graph Mining
AttriPart
Local Partition in Rich Graphs
Scalable K-Core Decomposition
For Static Graphs Using a Dynamic Graph Data Structure
M-Flash
Billion-Scale Graph Computation by Bimodal Block Processing
M3
billion-scale ML on a PC using virtual memory
MMap
Easy billion-scale graph computation on a PC using virtual memory
Mobile MMap
Scalable Algorithms on the Go
PEGASUS
Billion-Scale Graph Mining on Hadoop
Open Source Software World Challenge, Silver Award
MAGE
Matching Approximate Patterns in Richly-Attributed Graphs
Cyber Security & Fraud
D2M
Dynamic Defense and Modeling of Adversarial Movement in Networks
Microsoft Advanced Threat Protection
Cyber MoneyBall
Predicting Cyber Threats with Virtual Security Products
Symantec
FairPlay
Fraud and Malware Detection in Google Play
MARCO
Fake Review Detection
SDM'14 Best Student Paper
AESOP
99%-accurate Malware Detection
Patented
Deployed
Symantec
Polonium
Malware Detection over 37 Billion File Relationships
Patented
Deployed
Symantec
Latent Gesture
Mobile Protection with Touch Signatures
NetProbe
Auction Fraud Detection
Quasi Clique
Uncovering Suspicious Links
Insider Trading Pattern Discovery
Securities and Exchange Commission
Social Good & Health
DeepPop
Deep Learning on Satellite Imagery for Population Estimation
Microsoft AI for Earth
Chronodes
Multi-focus mHealth Visual Data Exploration
ACM TiiS 2018 Best Paper, Honorable Mention
mHealth Visual Discovery Dashboard
Making Sense of Mobile Health Data
Firebird
Predicting Fire Risk in Atlanta
KDD'16 Best Student Paper, runner-up
Deployed
Atlanta Fire Rescue Department
ElectroLens
Understanding Atomistic Simulations
Scalable Architecture in Power Generating Assets
For Anomaly Detection and Visualization
TimeStitch
Interactive Multi-focus Cohort Discovery and Comparison
Characterizing Smoking and Drinking Abstinence
Using Social Media Communities
Understanding Pediatric Asthma Care
Using Visual Analytics
Children's Healthcare of Atlanta
Club Members
Seongmin Lee
CS PhD
Ben Hoover
ML PhD
Urban Forager
ShengYun (Anthony) Peng
CS PhD
Matthew Hull
ML PhD
Alec Helbling
ML PhD
Mansi Phute
CS PhD
Aeree Cho
ML PhD
Haoyang (Alex) Yang
CS PhD
Mechanical Keyboard & F1 enthusiast
Alexander Greenhalgh
CSE PhD
Pratham Mehta
CS MS
Dancing!
Sri Ranganathan Palaniappan
CS Undergrad
Aishwarya Chakravarthy
CS Undergrad
Rahul Narayanan
CS Undergrad
Grace Kim
CS Undergrad
Kunal Mohindra
CS MS
Elliott Faa
CS Undergrad
Duen Horng (Polo) Chau
Prof
Covert designer, photographer. Rusty cellist & pianist.
Alumni
Dr. Acar Tamersoy
CS PhD
Principal Applied Scientist, Microsoft
Dr. Robert Pienta
CSE PhD
Data Science Manager, Intuit
Dr. Chad Stolper
CS PhD
Software Engineer, Google
Dr. Minsuk Kahng
CS PhD
Research Scientist, Google People+AI Research (PAIR)
Human-Centered AI, Data Visualization
Dr. Shang-Tse Chen
CS PhD
Asst Prof, National Taiwan Univ
AI-infused Security: theory + applications for deep learning attack and defense.
Dr. Fred Hohman
CSE PhD
Research Scientist, Apple
Interactive Scalable Interfaces for Machine Learning Interpretability
Nilaksh Das
CSE PhD
Applied Scientist, Amazon AWS AI
Haekyu Park
CS PhD
Machine Learning Engineer, Stripe
Scott Freitas
ML PhD
Senior Applied Scientist, Microsoft
Rahul Duggal
CS PhD
Applied Scientist, AWS AI Computer Vision
Zijie (Jay) Wang
ML PhD
Member of Technical Staff, OpenAI
Pokémon trainer.
Austin Wright
ML PhD
Prof, Cal Poly
football fan and film nut
Jaegul Choo
CSE PhD
Associate Professor, KAIST
Elias Khalil
CSE Master
Asst Prof. Univ of Toronto
Srishti Gupta
CS Master
Data Engineer, Hike Messenger
Aakash Goel
CS Master
Apple
Peter Polack
MS Digital Media
PhD Information Studies, UCLA
Shan Li
HCI Master
User Experience Designer, Fortinet
Meera Kamath
CS Master
Software Engineer, Microsoft
Florian Foerster
HCI Master
Research Manager, Facebook
Hugo Armando Gualdron Colmenares
CS Master, University of São Paulo
Changhyun Lee
CS Master
Software Enginner, Google
Anmol Chhabria
MS CSE
Senior Data Scientist, Shopify
Madhuri Shanbhogue
CS Master
Software Engineer ML, Google
Varun Bezzam
CS Master
Software Engineer, Heroku
Prasenjeet Biswal
CS Master
Software Engineer, Yahoo
Jonathan Leo
CS CS/MS
Sivapriya Vellaichamy
Analytics MS
AI Research, JPMorgan Chase
Chakravarthy RVK
Analytics MS
Nemath Ahmed
CS Master
Harsha Karanth
CS Masters
Deep Learning Engineer, Toyon Research Corporation
Zhiyuan "Jerry" Lin
CS Undergrad
CS PhD, Stanford
Ramen lover and hackathon hacker.
Paras Jain
CS Undergrad
CS PhD, UC Berkeley
Samuel Clarke
CS Undergrad
CS Master, Carnegie Mellon
Dezhi “Andy” Fang
CS Undergrad
Software Engineer, Citadel
Siwei "Bob" Li
CS Undergrad
Software Engineer, Google
Kristina Marotta
CS PhD, Univ of North Carolina
Matthew Keezer
CS Master
Software Engineer, IBM
Nathan Dass
CS Undergrad
Software Engineer, Google
Sam Ford
CS Undergrad
Software Engineer, Square
Joon Kim
CS Undergrad
Site Reliability Engineer, Mailchimp
Ángel (Alex) Cabrera
CS Undergrad
HCI PhD, Carnegie Mellon
Will Epperson
CS Undergrad
HCI PhD, Carnegie Mellon
Robert Firstman
CS Undergrad
Guitar player. Music and NBA enthusiast.
Omar Shaikh
CS Undergrad
CS PhD, Stanford
Anish Upadhayay
CS Undergrad
Zhiyan "Frank" Zhou
CS Undergrad
Software Engineer, Google
Jon Saad-Falcon
CS BS/MS
Predoc investigator, AI2
Robert Turko
CS Undergrad
Software Engineer, Google
Sasha Richardson
CS Undergrad
CS Undergrad, Fayetteville State University
Megan Dass
CS Undergrad
CS MS, Stanford
Alexander Karpekov
CS MS
CS PhD
Xoogler, Back to School
Kevin Li
CS Undergrad
ML PhD, CMU
Yiqi (Victor) Chen
CS Undergrad
Software Engineer, Facebook
Jake Williams
CS Undergrad
Machine Learning Engineer, Square
Kshitij Kulkarni
ECE Undergrad
EECS PhD, UC Berkeley
Sudeep Agarwal
CS Undergrad
Software Engineer, Apple
David Munechika
CS Undergrad
Machine Learning Engineer, Apple
Justin Blalock
CS Masters
Software Engineer, Meta
Kaeser Sabrin
CS PhD
Software Engineer, LinkedIn
Dong-Kyu Chae
Postdoc
Asst Prof, Hanyang Univ
Data and Visual Analytics (DVA)
At Georgia Tech, we teach the world's biggest semester-long Data and Visual Analytics university course (CSE6242), educating about 1,200 students each recent semester. This data science course is offered to both graduate (as CSE6242) and undergraduate students (as CX4242). CSE 6242 is a required core course of the Master of Science in Analytics (MSA). In Spring 2018, the campus version of the course was "mirrored" and offered as a core course of the Online Master of Science in Analytics (OMS Analytics) program. In Fall 2018, the online offering was further expanded to the Online Master of Science in Computer Science (OMS CS) program. Instructors: Dr. Mahdi Roozbahani (since Fall 2019) and Prof. Polo Chau (since Spring 2013).
| Year | Semester | Course Websites | Students | Enrollment bar |
|---|---|---|---|---|
| 2026 | Spring | Campus 6242 & 4242 Online 6242 | ||
| 2025 | Fall | Campus 6242 & 4242 Online 6242 | 1380 | |
| 2025 | Spring | Campus 6242 & 4242 Online 6242 | 1284 | |
| 2024 | Fall | Campus 6242 & 4242 Online 6242 | 1260 | |
| 2024 | Spring | Campus 6242 & 4242 Online 6242 | 1201 | |
| 2023 | Fall | Campus 6242 & 4242 Online 6242 | 1070 | |
| 2023 | Spring | Campus 6242 & 4242 Online 6242 | 1124 | |
| 2022 | Fall | Campus 6242 & 4242 Online 6242 | 1146 | |
| 2022 | Spring | Campus 6242 & 4242 Online 6242 | 1099 | |
| 2021 | Fall | Campus 6242 & 4242 Online 6242 | 1181 | |
| 2021 | Spring | Campus 6242 & 4242 Online 6242 | 1085 | |
| 2020 | Fall | Campus 6242 & 4242 Online 6242 | 1072 | |
| 2020 | Spring | Campus 6242 Campus 4242 Online 6242 | 966 | |
| 2019 | Fall | Campus 6242 Campus 4242 Online 6242 | 877 | |
| 2019 | Spring | Campus 6242 & 4242 Online 6242 | 1000 | |
| 2018 | Fall | Campus 6242 & 4242 Online 6242 | 677 | |
| 2018 | Spring | Campus 6242 & 4242 Online 6242 | 287 | |
| 2017 | Fall | Campus 6242 & 4242 | 273 | |
| 2017 | Spring | Campus 6242 & 4242 | 214 | |
| 2016 | Fall | Campus 6242 & 4242 | 215 | |
| 2016 | Spring | Campus 6242 & 4242 | 187 | |
| 2015 | Fall | Campus 6242 & 4242 | 146 | |
| 2015 | Spring | Campus 6242 & 4242 | 113 | |
| 2014 | Fall | Campus 6242 & 4242 | 118 | |
| 2014 | Spring | Campus 6242 & 4242 | 95 | |
| 2013 | Spring | Campus 6242 & 4242 | 35 |
KDD IDEA Workshop
Interactive Data Exploration and Analytics. Great IDEAs, 6 years in a row!
Sponsors
Our research has been made possible by support and funding from: NSF (CNS1704701, IIS1563816, IIS1551614, TWC1526254, IIS1217559, CMMI1935548), NIH (1-U54EB020404-01), DARPA (HR00112030001), NASA, Children's Healthcare of Atlanta, Google, Intel, NVIDIA, Amazon, Facebook, Microsoft, Bosch, JPMorgan Chase, Cisco, Symantec, Yahoo, eBay, LogicBlox, LexisNexis Dean's Award, James C. Edenfield Faculty Fellowship, Raytheon Faculty Fellowship.
