2021 ASME-CIE Hackathon: Explore the Power of Data and Cybersecurity for Mechanical Engineering
Virtually August 14-15, 2021
In conjunction with IDETC/CIE 2021
Sponsored by
ASME Computers & Information in Engineering Division (CIE)
Registration Details Here
- Limited capacity
- $25 for Hackathon event (can be done as a conference add on or stand-alone)
- The italic Hackathon workshop option on the Orchid registration site is to add this on to a full conference registration
Important Dates:
- Sign up Deadline August 11th 11:59pm EDT
- August 14, 2021: Hackathon Kick-off
- August 15, afternoon: Due for Hackathon deliverables
- August 15, evening: Awarding ceremony
*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.
Introduction and Agenda
This 2021 ASME-CIE Hackathon is co-located with the International Design Engineering Technical Conferences & Computers and Information in Engineering Conference. The Hackathon is sponsored by the ASME Technical Events and Content (TEC) Sector Council and the ASME Computers & Information in Engineering Division (CIE) with the goal to build multi-stakeholder (society-university-industry) relations and impact the quality and quantity of data-skilled mechanical engineers. The ASME-CIE 2021 Hackathon is an emerging event held by ASME and is expected to become one of the signature events of the American Society of Mechanical Engineering (ASME).
| Date |
Time (EDT) |
Agenda (Times are subject to changes and will be finalized closer to the event) |
| DAY 1, August 14 |
1:00 – 2:00 pm |
Online check-in and virtual platform testing |
| 2:00 – 3:15 pm |
Hackathon kick-off and introduction of topic areas |
| 3:15 – 4:15 pm |
Team formation and meeting with your mentors |
| 4:15 – 6:30 pm |
Problem formulation and proposal submission (Tutorial and Q&A session will run in parallel from 5:30 to 6:30 pm) |
| 6:30 – 8:30 pm |
Hackathon continues; pitching ideas based on the preliminary proposal/project plan (Tutorial and Q&A session will run in parallel from 7:30 to 8:30 pm) |
| DAY 2, August 15 |
10:00 – 10:15 am |
Day 2 kick-off and judging criteria recap |
| 10:15 – 1:00 pm |
Hackathon pitch time (Q&A session will be available from 11:30 am to 12:30 pm) |
| 1:30 – 4:30 pm |
Hackathon pitch time (Q&A session will be available from 2:30 to 3:30 pm) |
| 4:30 – 5:00 pm |
Project submission |
| 5:15 – 7:15 pm |
Project presentations |
| 7:15 – 7:45 pm |
Judge discussion and deliberation |
| 8:00 - 8:30 pm |
Awards and closing ceremony |
Award Information
The winners from each of three topic areas will share the award of $7,500.
- First Place: $1,300
- Second Place: $800 and
- Third place: $400
Note: Teams will be judged in each problem tropic area, and awardees will be selected separately.
Eligibility
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.
2020 Theme
Big Data is defined as "large volumes of high velocity, complex and variable data that require advanced techniques and technologies to enable the capture, storage, distribution, management, and analysis of the information." However, it is reported that majority of the data collected (more than 80%) is unstructured data in the form of image, video, audio, undefined text and numbers. This is true in many mechanical engineering subfields where sensors are ubiquitous and digitization is pervasive, for example, when analyzing Amazon reviews to elicit customer preferences in support of engineering design, and using images of 3D printing in support of manufacturing prognosis. While the value of unstructured data is evident by the vigor and velocity with which new tools are being created in the private sector to extract this hidden value, in mechanical engineering, the question of how to leverage the power of unstructured data to benefit product design and development, manufacturing and complex systems engineering is still yet fully answer.
The ASME-CIE Hackathon attempts to provide an open mechanism for researchers to explore new statistical and machine-learning techniques appropriate for the use of unstructured text, images, audio etc. in design, manufacturing and systems engineering, and on the other hand, to develop new educational pathways to train the next generation of data-skilled mechanical engineers. The participants will have the opportunity to learn and experience various data visualization, data mining, and machine learning methods to develop automated processes for:
- Identification of patterns within the unstructured data that are predictive of valuable or negative attributes.
- Use of valuable extracted content to improve predictive models.
- Removal or correction of negative content associated with errors, bias, or privacy.
HACKATHON PROBLEMS STATEMENT
Hackathon problems proposed by:
- Department of Mechanical and Aerospace Engineering, New York University
- System Integration Division, National Institute of Standards and Technology
- Future of Automation at Corporate Technology, Siemens Corporation
Teamwork
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:
- Creative or innovative ideas
- Business or marketing talents
- Data science or statistics concepts
- Domain knowledge and critical thinking
- Computational linguistics skills
- Programming skills
Hackathon Team and Presentation
- All participants must be registered by August 6th. Everyone will be placed in a team up to three members. You may form your own. All implementation must be based on the original work.
- Each Hackathon team will continue their own meetings via their own chosen platform of choice and hacking exercises during the two days between 08/14/21 and 08/15/21.
- Each team needs to present their teamwork including the technical approach and the results.
*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 Organizers
Yan Lu, yan.lu@nist.gov
Zhenghui Sha, zsha@austin.utexas.edu