T2C2: Timely and Trusted Curation and Coordination

The NSF DIBBs T2-C2 project is a collaboration between:

• Coordinated Science Laboratory
• Frederick Seitz Materials Research Laboratory
• Micro and Nano Technology Laboratory
• Computational Science and Engineering
• Information Trust Institute
• National Center for Supercomputing Applications

• 2024 – paper “GaugeTracker: AI-Powered Cost-Effective Analog Gauge Monitoring System”, was published in 7th IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR 2024).
• 2023 – paper “WeldMon: A Cost-effective Ultrasonic Welding Machine Condition Monitoring System”,  was published in 14th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON 2023).
• 2021 – paper “DeepRT: A Soft Real Time Scheduler for Computer Vision Applications on the Edge” was published in ACM/IEEE Symposium on Edge Computing, December 2021.
• 2021 – paper “SENSELET++: A Low-cost Internet of Things Sensing Platform for Academic Cleanrooms” was published in IEEE MASS 2021
• 2021 – Best Student Poster Award in ACM PEARC 2021
• 2021 – Media Coverage: Open Access Government “Data-centric cyberinfrastructures for academic ultra-clean scientific laboratories”
• 2021 – Media Coverage: Futurum Careers “Using computer science to assist in creating an ultra-clean scientific lab environment.” 
• 2020 – paper on SENSELET was published in ACM SIGMOBILE GetMobile Magazine, June 2020
• 2020 – 4CeeD Mobile Beta on Android
• 2020 – Senselet launched at MNTL cleanroom.
• 2020 – Bracelet Instance launched at MRL.
• 2019 – 4CeeD presented as successful Clowder Fork at 1st Clowder All Paws Conference, Pearc 2019.

• 2019 – 4Ceed launched as pilot program in Summer Undergrad ECE 447

• 2019 – 4CeeD presented at  ChiMad/NIST Materials Microscopy Conference
• 2019 – NSF Backs Clowder, 4CeeD Successful Partnership.
• 2017 – Final Report: 1st NSF Data Infrastructure Building Blocks PI Workshop
• 2016 CyberFab Workshop
• Schwartz-Duval earns AHA award for research on detecting heart disease