Hello, I am Anjul Tyagi

I’m currently looking for full-time roles for AI/ML research engineer starting January 2023.

PhD candidate in the Visual Analytics and Imaging Lab at Stony Brook University advised by Prof. Klaus Mueller. Get in touch, connect me on LinkedIn!

My research interest includes:

  • 3D Object Detection on Point Clouds (#Self Driving Cars, #Computer Vision, #Deep Learning)
  • Automated Infographics Generation (#Data Visualization, #Computer Vision, #Deep Learing)
  • Deep Neural Network Architecture Search (#Deep Learning, #Optimization)
  • High Dimensional Data Visualization (#Data Visualization)

Besides research, I like contributing to interesting Open Source Projects on Github, and writing about latest research trends on Medium. Previously, I have worked at Facebook (Meta), and Seagate as a Data Science and Machine Learning Intern. During my undergrad, I worked at Mozilla as a Software Developer Intern. I completed my undergraduate in Computer Science from Indian Institute of Information Technology where I was the Salutatorian of my class. My Ph.D. research is funded from the NSF grant for promoting Visualization Research in Storage Systems written by me, Prof. Klaus Mueller and Prof. Erez Zadok. I have also worked with Prof. Jian Zhao on several Human Computer Interaction projects.

Socially, I love meeting new people and enjoy part time Fitness, Athletics and Music. Connect me on Instagram!

Fun Fact! My academic lineage traces back to Isaac Newton and Galileo Galilei. Checkout how!

Anjul Tyagi

Explainable Neural Network Architecture Search

Fully explainable and human controllable Neural Network Architecture Search. This helps in finding the best NN architecture for your problem without manual fiddling.

Paper
3D Object Detection for Autonomous Vehicles

Creating object detection deep neural networks for Lidar (3D) point clouds. Used in self driving cars.

Post Code
Automated Infographics Generation

Checkout our paper on how to automatically generate infographic (poster) designs by simply proving some cues to the system.

Post Website Code Paper
User Task Classification with Eye Tracking

This is the study of classifying user tasks from the eye movements. Presented at ACM ETRA 2019.

Paper

Show More Projects

Visual Steering for One-Shot Deep Neural Network Synthesis Anjul Tyagi, Cong Xie, Klaus Mueller. arxiv, 2020. ICE: Interactive Configuration Explorer for High Dimensional Categorical Parameter Spaces Anjul Tyagi, Zhen Cao, Tyler Estro, Erez Zadok, Klaus Mueller. VIS, 2019. Graphs Are Not Enough: Using Interactive Visual Analytics in Storage Research Zhen Cao, Geoff Kuenning, Klaus Mueller, Anjul Tyagi, Erez Zadok. USENIX HotStorage, 2019.

Show All Publications

News

  • I passed my thesis proposal exam. Slides and Talk video are available under the talks section.
  • Our paper on automatic generation of infographics is accepted at EURO VIS 22.
  • My thesis proposal presentation is coming soon! April 27th, 11:30 a.m. - 1 p.m. (EST).
  • I’ll be starting my second Facebook (Meta) internship as an ML engineer this May with Reality Labs.
  • I am on the top writers list on Medium for the topic of Self-Driving Cars. Thanks to my team at Seagate.
  • Started working with Seagate Technologies as a Data Analyst and Machine Learning Intern.
  • I’ll be giving a talk at At&t Labs Graduate Student Symposium this year in NYC.
  • Presented ICE at VIS 2019.
  • Travel Award from IACS to attend IEEE VIS.
  • Young writer award for the ICE paper.
  • Successfully defended my qualifier RPE (Research Proficiency Exam) exam.
  • Attended a social event at Google’s NYC office.
  • Date of my Research Profeciency Exam decided (Aug 28th). I’ll be completing my second year of Ph.D.
  • NSF Grant for my research in Storage Systems Optimization is approved.
  • ICE accepted for VAST Conference Track at IEEE VIS.
  • I’ll be serving as a Student Volunteer at ETRA 2019.
  • User Task Classification paper accepted at ACM ETRA 2019.
  • Storage Systems Research paper accepted at USENIX HotStorage workshop.