I joined the Elmore Family School of Electrical and Computer Engineering at Purdue University West Lafayette as a Ph.D. student in Fall 2021. Prior to that, I obtained my MS degree in the Department of Electrical and Computer Engineering at PNW in 2021. Before that I received my BS degree in Telecommunication Engineering from Beijing Institute of Technology in 2019. My research interests include machine learning, computer vision and image processing.

Download my résumé.

  • Machine Learning
  • Statistical Learning
  • Deep Learning
  • Computer Vision
  • Image Processing
  • Ph.D. student in Electrical and Computer Engineering (Present)

    Purdue University West Lafayette

  • Ms in Electrical and Computer Engineering, 2021

    Purdue University Northwest

  • BSc in Telecommunication Engineering, 2019

    Beijing Institute of Technology



Teaching Assitant
May 2022 – Present West Lafayette, IN

TA for ECE69500 Optimization for Deep Learning (Fall 2024, Fall 2022)

  • Hold office hours and help sessions, grade homeworks and exams
  • The course discusses the optimization algorithms that have been the engine that powered the recent rise of machine learning (ML) and deep learning (DL)

TA for ECE20002 Electrical Engineering Fundamentals II (Summer 2024, Spring 2024, Fall 2023, Summer 2023, Spring 2023)

  • Hold office hours, grade quizzes and coordinate TA group activities
  • The course addresses mathematical and computational foundations of circuit analysis (differential equations, Laplace Transform techniques) with a focus on application to linear circuits having variable behavior as a function of frequency, with emphasis on filtering

TA for ECE20001 Electrical Engineering Fundamentals I (Summer 2022)

  • Hold office hours, grade exams and compose Collection of Practice Problems of homeworks
  • The course covers the basic concepts of current and voltage, devices, theorems, and applications of direct-current (DC), 1st order, alternating-current (AC) and basic electronic components including diodes and transistors
Research Assistant
August 2021 – May 2022 West Lafayette, IN

Worked on the project Image Based Plant Phenotyping: The PhenoSorg Project

  • Generated 1 thousand synthetic high-resolution UAV RGB images with panicle labels by using image-to-image translation GANs with a ground truth dataset of 400 real UAV RGB images
  • Improved mean average precision with Intersection over Union from 0.5 to 0.95 (mAP[.5, .95]) for panicle detection task from 72% to 79%, and reduced Mean Absolute Percent Error (MAPE) for panicle counting task from 11.6% to 7.2%
  • Created labels for panicles in PhenoRover RGB images to test our approach on PhenoRover data

Worked on the project Technology Assisted Dietary Assessment (TADA)

  • Investigated reliable and effective methods for Fine-Grained Visual Classification (FGVC)
  • Re-implemented a hierarchy-based embedding method for encoding of categories to decrease average hierarchical distance at top 1 by 3%, and that at top 5 by 10% on our VIPER-FoodNet dataset with 82 food categories, 15 thousand images
  • Corrected the incorrect labels and bounding boxes of our VIPER-FoodNet dataset
Research Assistant
February 2020 – May 2021 Hammond, IN

Worked on the project Smart Ladle: Al-Based Tool for Optimizing Casting Temperature