Anjul Tyagi
Last updated in . Get the latest version at tyagi-iiitv.github.io/cv.
Ph.D. Candidate
Computer Science & Engineering
Stony Brook University, New York
Research Area
My research interest includes a) 3D Object Detection on LiDAR Point Clouds, b) Automated Infographics Generation, c) Deep Neural Network Hyperparameter Optimization, and d) High Dimensional Data Visualization and Analytics. My work has appeared in the top conferences including IEEE VIS, Usenix HotStorage, and ACM ETRA. Besides research, I like contributing to interesting Open Source Projects on Github and writing about the latest research trends on Medium.
Positions
Machine Learning Intern at Seagate Technologies
Longmont, COResearcher in Data Analytics at Stony Brook University
Stony Brook, NYData Analyst at Akai Kaeru
Stony Brook, NYOpen Source Developer at Mozilla
RemoteResearcher in Systems Biology at Indian Institute of Technology
Chennai, IndiaNNMCB fellow at Indian Institute of Technology
Chennai, IndiaEducation
Ph.D. in Computer Science, Stony Brook University
Stony Brook, NY
Advised by Prof. Klaus Mueller.
GPA 3.84/4.0
B.S. in Computer Science, Indian Institute of Information Technology
Gujarat, IndiaGPA 8.63/10.0, Highest Distinction, Rank 2/63
Notable Awards/News
Ph.D. Research fellowship
Fellowship from Stony Brook University for research in Storage Systems Performance Optimization.
Top Writer on Self Driving Cars
Medium's top writer in the category of self driving cars.
Selected for AT&T's graduate student symposium
Speaker at the annual AT&T's graduate student symposium.
Travel Award
Travel award to attend the IEEE VIS conference by IACS at Stony Brook University.
Young Writer Award
Award for the first paper (ICE paper) published at IEEE VIS granted by IACS at Stony Brook University.
Academic Excellence Award
Award for outstanding performance (Rank 2) in the undergraduate batch of 2013 at IIIT.
NNMCB fellowship
Awarded the NNMCB Fellowship for research in Systems Biology by Indian Institute of Science.
IIO All India Rank 22
Achieved All India Rank of 22 in highly competitive International Informatics Olympiad during High School.
Publications [Interactive Version]
Conference
Visual Steering for One-Shot Deep Neural Network Synthesis
ICE: Interactive Configuration Explorer for High Dimensional Categorical Parameter Spaces
Task Classification Model for Visual Fixation, Exploration, and Search
Workshop
Graphs Are Not Enough: Using Interactive Visual Analytics in Storage Research
Poster
Road Accidents in the UK (Analysis and Visualization)
Talks [Interactive Version]
Ph.D. Thesis Proposal (Prelim) talk on High Dimensional Parameter Space Exploration with Machine Learning and Data Visualization
Optimizing Storage Systems with Machine Learning and Visualization
ICE: An Interactive Configuration for High Dimensional Parameter Spaces
Combining Visualization and Optimization to improve Storage Systems
Task Classification Model for Visual Fixation, Exploration, and Search
Visualization of High Dimensional Categorical Parameters
Teaching Experience
Introduction to Data Science and Machine Learning
Stony Brook UniversityInstructed a full course on Data Science and ML to the sophomores.
Data Structures and Algorithms
Stony Brook University
Teaching Assistant for
Shebuti Rayana,
200 students
Instructed tutorial sessions, graded papers, designed assignments
Programming in C
Indian Institute of Information Technology
Teaching Assistant for
Naveen Kumar,
160 students
Instructed tutorial sessions, graded papers, designed assignments
Mentoring Experience
CSIRE
Stony Brook University
Causation Analysis of SAT scores across the United States at the CSIRE program.
Mentored:
- Rohan Setia,
- Amy Zhong
CSIRE
Stony Brook University
Prediction of Popularity of Images with Deep learning at the CSIRE program.
Mentored:
- Jessica Liao
Simons Fellowship
Stony Brook University
Nutrition Facts Visualization Methods at Simons Fellowship program.
Mentored:
- Helen He
Software Development Projects
Indian Institute of Information Technology
Mentored freshers for software development projects in C language
Mentored:
Service
Reviewer for CHI, IEEE VIS, Pacific VIS and The Computer Journal.
Student Volunteer at IEEE VIS and ACM ETRA.
Relevant Coursework
Stony Brook University
- Machine Learning (Minh Nguyen)
- Computer Vision (Dimitris Samaras)
- Data Science (Steve Skiena)
- Data Visualization (Klaus Mueller)
- Big Data Algorithms and Networks (Zhenhua Liu)
- Probability and Statistics (Anshul Gandhi)
- Discrete Mathematics (Anita Wasilewska)
References
Klaus Mueller
Professor of Computer Science
Stony Brook University
mueller@sbu.edu
Erez Zadok
Professor of Computer Science
Stony Brook University
ezk@sbu.edu