Hongjun Wu (吴泓骏) Updated on: April 25, 2022.
I combine the power of technology with the beauty of art to create products that are both technically impressive and aesthetically pleasing.
My primary fields of interest lies in artificial intelligence, computer animation, game development, and printmaking. I am also fond of traditional art-making techniques, photography, art history, and architecture.
Cornell University - Cornell Tech 2021 - 2023
Master of Science in Information Systems (Concentration: Connective Media).
Technion - Israel Institute of Technology 2021 - 2023
Master of Science in Applied Information Science.
University of Washington - Seattle 2017 - 2021
Bachelor of Arts in Interdisciplinary Visual Art.
Valley Christian High School 2013 - 2017
High School Diploma with Honor, Varsity Athlete in Robotics.
Cornell University - CS 6785: Advanced Topics in ML - Deep Probabilistic and Generative Models
Professor: Dr. Volodymyr Kuleshov Spring 2022
Cornell University - CS 5787 - Applied Machine Learning
Professor: Dr. Volodymyr Kuleshov Spring 2022
Cornell University - Circular Construction Lab (College of Architecture, Art, and Planning)
Supervisor: Prof. Felix Heisel Fall 2021 & Spring 2022
University of Washington - CSE/STAT 416: Introduction to Machine Learning
Dreamhaven - Moonshot Games 2022 - Present
Technical Artist Intern
TrackAir 2021 - 2022
Carter Burden Network 2021
Data Science Consultant
Cornell Tech Startup Award
Finalist - TrackAir 2022
Zumtobel Group Awards
Special Prize for Innovation (EUR €20,000) 2021
Jacobs Technion-Cornell Institute
Connective Media Fellowship (USD $30,000) 2021 - 2023
University of Washington
Dean's List 2018 - 2020
FIRST Robotics Competition - Central Valley Regional
Team Spirit Award 2017
SuperFly VR @ University of Washington Reality Lab 2020 - 2021
"Dazzle!" @ University of Washington Animation Research Labs 2019 - 2021
Lead Animator, Lead Modeler, Technical Artist
. Felix Heisel¹, Vesela Petrova¹, Hongjun Wu¹, RhinoCircular: Integrated Material and Construction Circularity Evaluation Tool for Early-design Phases, SBE22 Berlin Sustainable Built Environment D-A-CH Conference, 2022.
AbstractAccording to the European Commission, “up to 80% of [a] product’s environmental impacts are determined at the design phase.“ (European Commission, 2015) Yet, current building or construction circularity evaluation tools are calibrated for employment at a much later stage in the planning process, often only utilized to analyse design decisions retroactively.
RhinoCircular (RC) is an early-design circularity evaluation tool for the popular CAD software Rhinoceros3D and its Grasshopper environment. (Heisel and Nelson, 2020) Specifically designed to provide immediate feedback on design decisions pertaining to material selection and construction systems within the uncertainties of the early-design phase, the tool also allows for the creation of material passports (MP) with increasing accuracy in later planning stages. To accommodate varying input requirements, RC relies on two sets of material databases. A generic database provided by RC containing common materials and material families is well suited for early-design evaluations. Through industry collaborations, RC is additionally compatible with product/producer-based databases and their set of materials and products. Based on these complementary inputs, RC then dynamically visualizes the adaptable computation of pertinent circularity values within the design environment, and allows their export into building passport platforms (BP) or in the form of industry standard MPs. RC’s material attribution and calculation outputs are further compatible with other common CAD / BIM software platforms for data and model exchange.
This paper specifically addresses the challenges of early-design evaluations through the development and implementation of a set of (adaptable) construction archetypes applicable to modelling inputs with a lower degree of specificity. This library of visual construction details connected to both data input sets allows for a design- and user-driven, intuitive and scalable feedback process in times of low-resolution modelling inputs. Through case study examples, the paper aims to evaluate the feasibility and validity of this approach with respect to circularity evaluation, data input and MP export.
 European Commission. 2015. “Closing the Loop - An EU Action Plan for the Circular Economy.” Communication from the Commission to the European Parliament, the Council, The European Economic and Social Committee and the Committee of the Regions 614 final. COM(2015). Brussels, Belgium: European Commission.
 Heisel, Felix, and Cameron Nelson. 2020. “RhinoCircular: Development and Testing of a Circularity Indicator Tool for Application in Early Design Phases and Architectural Education.” In AIA/ACSA Intersections Research Conference: CARBON. Pennsylvania.
. Taso G. Lagos¹, Yash Singh², Andrew Pace², Erik Levi Stone², Hongjun Wu², Hongyi Yan², Shayla Forbes-Luong², Decolonization Meets Marginalization: Roma of Greece, Autoethnography and Academic Journalism as 'Social Justice' (Under Review), Journal of Charisma Studies, University of Washington, 2022.
AbstractThe Roma as a minority group in Greece have always lived on the margins of mainstream society. While Greece has historically hosted many minority groups in various relational statuses with the majority, the Roma uniquely embody practical, psychological and metaphorical spaces that sets them apart from other excluded groups. This study regards the historical space that separates the Roma and contextualizes recent developments, such as the economic crisis of the 2010s and Covid-19, that further marginalizes them. We argue that the transactional space that defines relations between Roma and non-Roma encompass a ‘gaze’ (Greek, Roma or tourist gaze) also disenfranchises hope for greater acceptance and respect between majority and minority. The authors, using auto-ethnography, explore their own evolving perceptions of the Roma within the Greek social hierarchy, while suggesting that study abroad programming, as part of academic tourism, can play a positive role in altering perceptions towards minority groups.
AbstractWhile in real life everyone behaves themselves at least to some extent, it is much more difficult to expect people to behave themselves on the internet, because there are few checks or consequences for posting something toxic to others. Yet, for people on the other side, toxic texts often lead to serious psychological consequences. Detecting such toxic texts is challenging. In this paper, we attempt to build a toxicity detector using machine learning methods including CNN, Naive Bayes model, as well as LSTM. While there has been numerous groundwork laid by others, we aim to build models that provide higher accuracy than the predecessors. We produced very high accuracy models using LSTM and CNN, and compared them to the go-to solutions in language processing, the Naive Bayes model. A word embedding approach is also applied to empower the accuracy of our models.
AbstractJust how big of a difference will deliberated thinking make in the digital age when judging whether the headline of a digital article is true or fake? Misinformation plagued the Chinese internet space, and fake news, especially related to health tips, often went viral on the internet with rapid speed. A previous study 1 was previously conducted on political articles measuring the influence of partisanship on thinking deliberately. In this paper, we conducted a study on how deliberation influenced the accuracy of Chinese netizens distinguishing real and fake news headlines, using a similar experiment procedure from the above mentioned study. We found that deliberation reduces the possibility of these readers being misguided by fake health-related headlines. A similar trend of accuracy was observed when participants thought deliberately compared to the original study, despite using different topics on a different population of participants.
Mixed Reality Heavy Machinery Prototyping 2022
RhinoCircular - Evaluating Architecture Re-usability 2021 - 2022
"RefuTree" - A Study on the Roma Refugees in Greece 2019 - 2021
Wind Tunnel Equipment Calibration and Data Acquisition Software 2017 - 2020
Deep CNN Long-live Particle & Dark Matter Detection 2019
Roosevelt Island Seniors Association Web Literacy Course 2021
University of Washington Printmaking Association 2018 - 2021
University of Washington School of Art LINK Space Studio 2019 - 2020
Monitoring Specialist & Technician
FIRST Robotics Competition Team 4415 - EPIC RobotZ 2014 - 2017
Co-Founder, CEO, CNC Lead