Giter Club home page Giter Club logo

GIF

Greetings 👋

  • 😄 I am a Ph.D. Candidate and a Research Assistant in the Innovatory for Cells and Neural Machines (ICAN) lab and Dependable Computing Systems Laboratory (DCSL) at Purdue University, advised by Prof. Somali Chaterji and Prof. Saurabh Bagchi. I also work closely with Prof. Yin Li from the University of Wisconsin-Madison on my projects. My research interests include optimizing performance and energy consumption for Machine Learning (ML) systems on small devices. Recently, I worked on several research projects that target optimizing the performance and energy efficiency of two technologies: computer vision on embedded/mobile GPUs and Low-power Internet of Things (IoT) networks. I love to use my knowledge to solve real-world problems. Specifically, I enjoy researching, developing, and deploying cutting-edge intelligent systems around us. I aim to optimize intelligent computer systems' latency/accuracy/energy performance and lead to a sustainable environment.
  • 🔭 I’m looking for an internship position to develop and deploy adaptive and innovative Machine Learning systems in real-world applications.

⚡ Interests

  • Intelligent Computer Vision System on Embedded/Mobile GPUs
  • Optimizing Performance and Energy Consumption for ML Applications on Embedded/Mobile Devices
  • Artificial Internet of Things (AIoT)

🎓 Education

  • Ph.D. Candidate @ Purdue University West Lafayette Aug 2019 ~
    • Major: Computer Engineering
  • M.S. @ Tongji University Shanghai Sept 2014 ~ Mar 2017
    • Excellent Graduate of Tongji University in 2017
    • Major: Electronic Science and Technology
    • Minor: Green Economy and Sustainable Development
  • B.E. @ Tongji University Shanghai Sept 2010 ~ June 2014
    • Excellent Graduate of Tongji University in 2014
    • Major: Electronic Science and Technology

🔭 Research

🏢 Work

  • Teaching Assistant at Purdue University West Lafayette Jan ~ May 2024
    • ABE591: Machine Learning for IoT and Computer Systems (Spring 2024)
  • Algorithm Engineer at ZTE Corp Shenzhen May 2017 ~ July 2019
    • Project: 5G New Radio (NR) Communication System
    • Job duties: Undertook wireless communication protocol and algorithm analysis, design, implementation, and verification in both the Physical and MAC layer
  • Teaching Assistant at Department of Electronic Science and Technology at Tongji University Shanghai Sept 2014 ~ Jan 2017
    • Semiconductor Physics (Fall 2016, 2015, and 2014)
    • Electromagnetic Fields and Waves (Spring 2016)
    • Electronics and Digital Technology (Spring 2015)

💻 Services

  • Artifact Evaluation Committee (AEC) of USENIX OSDI '22 and ATC '22

📫 Contact

Gmail Badge LinkedIn Badge LeetCode Badge Google Scholar Badge Twitter Badge

Visitor Count
🌱 Fun fact: I would like to spend one year living in Antarctica if there’s any opportunity. Cannot image how cool it is!

Pengcheng Wang's Projects

ab3dmot icon ab3dmot

(IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"

algorithms icon algorithms

Bug-tracking for Jeff's algorithms book, notes, etc.

chulanzhang.github.io icon chulanzhang.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

deeplearningbook icon deeplearningbook

This repository is used to publish source code of my deep learning book

kalman-and-bayesian-filters-in-python icon kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

leetcode-py icon leetcode-py

⛽️「算法通关手册」:超详细的「算法与数据结构」基础讲解教程,从零基础开始学习算法知识,800+ 道「LeetCode 题目」详细解析,200 道「大厂面试热门题目」。

lihang icon lihang

Statistical learning methods, 统计学习方法 [李航] 值得反复读. [笔记, 代码, notebook, 参考文献, Errata, lihang]

machine-learning icon machine-learning

:zap:机器学习实战(Python3):kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归

models icon models

Models and examples built with TensorFlow

openpcdet icon openpcdet

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.