The Computer & Information in Engineering (CIE) Division of the American Society of Mechanical Engineers (ASME) held two hackathon events at the IDETC/CIE 2020 and 2021 Conferences. These 24-hour hackathon events provide students and engineering practitioners with a unique opportunity to learn how data science and machine learning techniques can be leveraged to solve real-world engineering problems.

Given the previous resounding successes, the CIE Division will hold the ASME-CIE Hackathon again at the IDETC/CIE 2022 Conference, for the first time in-person, as a pre-conference event from Aug. 13-14, 2022. With the goal of creating a platform for crowd innovation and, more importantly, exploring new educational pathways to train the next generation of data-literate mechanical engineers, the hackathon leadership team is now soliciting new topic ideas.

Click to Register for the Hackathon

Important Dates:

*By registering for the Student Hackathon, you agree to allow your information to be shared with other registrants and volunteer leaders for the purpose of communicating event information and intra team communication.

Hackathon Problems

Download the problem statement here!

Date and Time (Central Daylight Time) Agenda
DAY 1, August 13 1:00 – 2:00 pm In-person registration, online check-in and virtual platform testing
2:00 – 3:15 pm Hackathon kick-off, introduction of topic areas and opening refreshment
3:15 – 4:15 pm Team formation and meeting with your mentors
4:15 – 6:30 pm Problem formulation and proposal submission (Q&A session will run in parallel from 5:30 to 6:30 pm)
6:30 – 7:30 pm Dinner
7:30 – 9:30 pm Hackathon continues; pitching ideas based on the preliminary proposal/project plan (Q&A session will run in parallel from 7:30 to 8:30 pm)
DAY 2, August 14 07:00 – 8:00 am Breakfast
8:00 – 8:15 am Day 2 kick-off and judging criteria recap
9:45 – 12:00 pm Hackathon pitch time (Q&A session will be available from 11:00 am to 12:00 pm; Morning break with refreshment from 9:45 to 10:15 pm)
12:00 – 1:00 pm Lunch
1:00 – 4:30 pm Hackathon pitch time (Q&A session will be available from 2:30 pm to 3:30 pm; Afternoon break with refreshment from 3:00 to 3:30 pm)
4:30 – 5:00 pm Project submission
5:00 – 5:15 pm Break
5:15 – 6:30 pm Project presentations
6:30 – 7:00 pm Judge discussion and deliberation
7:00 – 9:00 pm Dinner & Awards and closing ceremony

Award Information

For each problem:

Note: Teams will be judged in each problem tropic area, and awardees will be selected separately.


Both students and non-students (e.g., researchers from national labs, professionals from industry, etc.) are welcome to attend the Hackathon and experience the exciting competitions. Participants can register for the event as (1) a student or (2) a non-student. Note: non-student groups include any group with a non-student member, even in the case when several members of the group are students. Per the funding objective, non-student participants are not eligible for travel awards and prizes. Each group category will be independently assessed and will receive their own rankings within the group category.


Hackathon is a teamwork. You do not need to have all the skills – that’s what TEAMWORK is for! Please join us if you have:

Hackathon Team and Presentation


Segmenting Medical Images toward Digital Twin in Healthcare

Link to training data
Alternative link to training data
Reference data
Test data
Download the introduction slide for problem 1 here
Dataset description: X-ray CT images from various image acquisition conditions changed depending on manufacturers, enhanced contrast, slice thickness, and so on. The data types include dicom, nifti, and mip files.

Digital Manufacturing Cybersecurity Strategies for Protecting Valuable Information in Design Files

Download the full dataset here
Download the introduction slide for problem 2 here
Dataset description:The STL file shows a 3D model of an object and there are five hints that are hidden throughout the files. Each hint that you can decode will get you closer to the location of the lost passport. Teams will receive points based on how many puzzles they can decode correctly and their method of solving the challenges.

Characterizing Similarity from Computer-Aided Design (CAD) Assemblies

Training data
Test data
Scoreboard for Autodesk problem
Download the introduction slide for problem 3 here
Dataset description: The dataset used in this hackathon is based on the Fusion 360 Gallery Assembly Dataset, which contains 8,251 assemblies and a total of 154,468 separate parts (i.e., bodies). To simplify the search space, we have provided a smaller subset of this dataset to be used as the official dataset of this hackathon, which you can download following the link below towards the end of this section. Specifically, each of the assemblies contains the following information: assembly-level information (e.g. semantic name, physical properties, assembly tree hierarchy, etc.), as well as the individual bodies along with their connection information that make up the assemblies. Each body that belongs to the assembly also has its body-level information (e.g. semantic name, material category, etc.).


We've compiled a list of resources, including tutorials, ML tools, libraries, and ideas just for you.

Machine Learning Developement Tools
1. PyTorch 2. TensorFlow
3. scikit-learn 4. R
5. MATLAB 6. Keras
7. Theano 8. Caffe
File Sharing & Cloud Stores
1. Dropbox 2. Google Drive
3. Box 4. Amazon S3
5. FileZilla
Project Management
1. Github 2. Trello
3. ASANA 4. Slack
Virtual Communication
1. Skype 2. Cisco WebEx
3. BlueJeans 4. Zoom
Text Editors
1. Sublime Text 2. Atom
3. Notepad++ 4. TextWrangler


International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (IDETC-CIE 2022)

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