Chandan Kumar - Curriculum Vitae

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Contact Information

Education

Iowa State University, USA

  • Degree: Doctor of Philosophy (Ph.D.), Computer Science (Focus: Deep Learning, Computer Vision)
  • Advisor: Dr. Ali Jannesari and Dr. Matthew Darr
  • Graduation Year: 2017-Present

Iowa State University, USA

  • Degree: Master of Science, Computer Science
  • Advisor: Dr. Ali Jannesari
  • Graduation Year: 2017-2022

BIT Sindri, India

  • Degree: Bachelor of Technology in Computer Science (With Distinction)
  • Graduation Year: 2011-2015

Work Experience

Iowa State University

  • Position: Graduate Research Assistant
  • Dates: January 2023 - Present
  • Description:
    • Skills Used: Python, Pytorch, CUDA, bash scripts, slurm.
    • Unsupervised Learning approach to Object-Detection. Developed fully unsupervised leaning based object detection algorithm using contrastive learning.
    • Unsupervised Image retrieval. Developed algorithm to retrieve image using unsupervised learning.
    • Scaling Unsupervised Learning algorithm to HPC(High Performance Computing).

Hagie Manufacturing (John Deere)

  • Position: Data Scientist Coop
  • Dates: January 2022 - January 2023
  • Description:
    • President award winner for extraordinary performance.
    • Skills Used: Alteryx, Ignition SCADA, Databricks, PowerBI, Microsoft Excel,AWS, RabbitMQ, Python, OpenCV, Pytorch.
    • Using tools and techniques to perform Text Mining, ML models development for predictive analysis and automation and Computer Vision models.
    • Design and develop project pipeline(Data Exploration, Sampling, Feature Engineering, Model Building, Field Performance Evaluation).

Iowa State University

  • Position: Graduate Research Assistant
  • Dates: January 2019 - December 2021
  • Description:
    • Skills Used: CAN-Bus, Python, OpenCV, POE, Pytorch, ROS
    • Developed real-time driver assist system for large farm-vehicles. Involved a system of 16 cameras, edge computing and image stitching to utilize the CAN protocols and integrate the mechanism to existing system.
    • Real-time depth detection and analysis using stereo camera(s). Used stereo camera to develop algorithm that can perform real-time depth detection and calculate volume of objects from the drone.

Iowa State University

  • Position: Graduate Teaching Assistant
  • Dates: January 2017 - May 2019
  • Description:
    • COMS 106 (Introduction to programming using HTML5, CSS, PHP, SQL, JQuery, JavaScript). Responsible for helping students understanding concepts, clearing their doubts and grading assignments.

EXL(Inductis) Services India Pvt. Ltd.

  • Position: Business Analyst
  • Dates: February 2016 - December 2016
  • Description:
    • Awarded Rising Star Award (1 of 6 awardees out of 37,000+ employees)
    • Skills used: SAS, SQL, IBM-Netezza, DB2,Tableau, R, Python, Microsoft Excel.
    • Utilized applications like SAS to identify trends and relationships between different pieces of data, draw appropriate conclusions and translated analytical findings.
    • Created and worked on various reporting frameworks (Microsoft Excel, Tableau) that involved customer segmentation and clustering exercises for customers

Skills

  • Languages and Tools: Python, Java, OpenCV, Pytorch,CUDA, Databricks, Ignition, Alteryx, AWS, Jenkins, IoT, Git, Unix
  • Web Technologies: HTML, CSS, React, AngularJS, NodeJS.

Awards/Grants

ACCESS grant supported by NSF (CIS220069)

  • Description: Develop algorithm for Unsupervised Object Detection.
  • Position: Co-PI.
  • Grant Amount: USD 174,000.

Professional Service

Invited Speaker

  • Description: International 7-in-1 Symposium, CGC, Herning, Denmark.

Reviewer

  • Conference: ECCV 2024.
  • Conference: ICML 2024.
  • Conference: ICLR 2024.
  • Conference: NeurIPS 2023.
  • Journal: Journal of AI Research (JAIR).
  • Journal: River Publishers.

Professional Memberships

  • IEEE
  • IEEE Computer Society
  • Cohere for AI

Attachments

Resume

  • Description: Click here to view my resume.
  • embed: Resume_Chandan.pdf