Chengde Wu
- Courses2
- Reviews3
- School: Texas A&M University
- Campus: College Station
- Department: Architecture
- Email address: Join to see
- Phone: Join to see
-
Location:
College Station, TX - Dates at Texas A&M University: November 2017 - May 2018
- Office Hours: Join to see
N/A
Would take again: Yes
For Credit: Yes
0
0
Not Mandatory
Good
Grade is based on assignments. There are no quizzes, exams or final. There are 3 - 4 assignments a week of varying difficulty. Dr. Wu's primary means of teaching is online video tutorials and lectures. He will expect you to figure out some things on your own. If you show enough effort he will help you.
Biography
Texas A&M University College Station - Architecture
Resume
2016
$10
000 research grant from Texas A&M University
Ahmed Ali
Chengde
University of North Carolina at Charlotte
Kaywon School of Art & Design (Architecture)
YEZU Architects Planners and Associates
DAUL Urban Architects
Myongji University
Texas A&M University
Texas A&M University
Texas A&M University
EST Design & Exhibition Ltd.
Korea
Researcher
Myongji University
Seoul
Korea
Designer
YEZU Architects Planners and Associates
College Station
Teach ENDS115/116
ARCH610
Instructor
Texas A&M University
Beijing
China
Assistant designer
Designer
EST Design & Exhibition Ltd.
College Station
Assistant Lecturer
Architecture Department
Texas A&M University
Korea
Adjunct Professor
Kaywon School of Art & Design (Architecture)
College Station
Texas
Visiting Lecturer
Visualization Department
Texas A&M University
Charlotte
NC
Lecturer/ Research Fellow
University of North Carolina at Charlotte
Seoul
Korea
Project Manager
Designer
DAUL Urban Architects
TA
Bryan/College Station
Texas Area
Texas A&M University
English
Chinese
Korean
Jonathan King Memorial Student Research Endowed Scholarship
College of Architecture
Texas A&M University
Dissertation Fellowship
Texas A&M University awards 15 Ph.D. candidates from all majors each year to support their doctoral research.
Texas A&M University
Jonathan King Memorial Student Research Endowed Scholarship
College of Architecture
Texas A&M University
Jonathan King Memorial Student Research Endowed Scholarship
College of Architecture
Texas A&M University
IEFS Graduate ISS Scholarship
Texas A&M University
The Complete Ruby on Rails
UC-X867HW6Q
Udemy
Data Science
2HLX7J6HXVY6
The Johns Hopkins University
2015
Master’s Degree
Computer Science
Texas A&M University
Machine Learning Specialization
9BUL7RF6P39P
University of Washington
Tackling the Challenges of Big Data
fc27a8312b4c443b8552dcf609f4a126
Massachusetts Institute of Technology (MIT)
Building Performance Analysis
Autodesk
Machine Learning
SYQZFHW3H6AP
Stanford University
2014
$40
000 research grant from National Science Foundation of China
Yiqian Yuan
Qiang Sheng
Jianwei Yan
Henan Li
2012
$10
000 grant from Texas A&M University
Doctor of Philosophy (PhD)
Architecture
Texas A&M University
2004
Master of Science (MS)
Architecture
Myongji University
1997
Bachelor of Science (BS)
Architecture
Yanbian University of Science and Technology
Chengde Wu's website
http://chdwu22.wix.com/designcomputation
This website presents professional work in architecture design
experiments on topics of generative design
Building Information Modeling (BIM)
etc.
Architectural Design
Design Research
Architecture
Computer Programming
Sustainable Design
Fatal Fire Risk Checking for Residential Building Design
Henan Li
Fatal Fire Risk Checking for Residential Building Design
Michael Bunch
Challenges with 3D Modeling and Printing Golden Star System
Distance Auto-checking System in Housing Planning Based on 2D AutoCAD
Kai Xing
Fire Propagation Simulation for Large Buildings in CFAST: Using BIM to facilitate simulation process
CFAST is a two-zone model which simulates fire growth and smoke transport. Manually modeling a building using CFAST user interface is a time consuming and error-prone process. In addition
the limitations in CFAST structure impede data transfer between CFAST and BIM (Building Information Modeling). In this research
we identified major limitations of CFAST
proposed solutions to the limitations
and developed a system for data interchange between BIM and CFAST. This greatly facilitated fire and smoke simulation. We further developed a visualization module to visualize the simulation results to overcome the problems when using SmokeView
an application developed by NIST (National Institute of Standards and Technology). A pilot test is conducted using this system. The simulation process was done in just a few minutes. This is expected to help architects to design buildings safer from building fires
and help students in learning building safety and fire related building codes.
Facilitating Fire and Smoke Simulation Using Building Information Modeling
BIM-based acoustic simulation Framework
Henan Li
A Review of Fire Growth and Smoke Transport Simulation Models
Sanghyun Lee
A Study on the function of the loess
Youngjun Lee
Sanghyun Lee
Automation-based stress distribution recognition in Korean traditional architecture
Implementing Behaviors for Generative Pattern Design
Gil Rosenthal
Chelsea Hash
Jon Simpson
Ji Zhang
Wen Li
Mahmoud Gadelhak
Rongfeng Cui
Spencer Ingley
AnyFish 2.0: an open-source software platform to generate and share animated fish models to study behavior
Gil Rosenthal
A New Implementation of Head-Coupled Perspective for Virtual Architecture
An Attempt to Automate the Creation of Building Information Model and Physical Model from GIS Data
Ergun Akleman
Constructing Deltahedra from Recycled Plastic Bottles
Visualizing Climate Data as a 3d Climate Torus
Research Grant from National Foundation of Science.
et al.
Gil Rosenthal
