Difference between revisions of "Working on"
Line 10: | Line 10: | ||
* Enhancing Fabric with quantum-safe cryptographic algorithms (with Bhargav Das, Amelia Holcombe, Geovandro Pereira, and Michele Mosca) | * Enhancing Fabric with quantum-safe cryptographic algorithms (with Bhargav Das, Amelia Holcombe, Geovandro Pereira, and Michele Mosca) | ||
− | |||
==Energy systems== | ==Energy systems== |
Revision as of 11:08, 9 January 2020
Contents
What I'm Working On
This page is my attempt to keep track of all the things I'm working on...
Blockchain Research
- Implementing RCanopus and further parallelizing the committer peer (with Christian Gorenflo, Ashwin Sekhari, Qingnan Duan, Linguan Wang, Lukasz Golab, Bernard Wong, and (at UMass) Stephen Lee and Prashant Shenoy)
- Designing a trusted smart meter to ensure that data that enters a blockchain can be relied upon. (with Dimcho Karakashev)
- Enhancing Fabric with quantum-safe cryptographic algorithms (with Bhargav Das, Amelia Holcombe, Geovandro Pereira, and Michele Mosca)
Energy systems
- Instrumenting campus buildings to measure electricity, chilled water, and steam heat consumption (with Yerbol Aussat and Costin Ograda-Bratu)
- Creating a website for homeowners and businesses to determine how many solar panels and how big a storage battery to buy to achieve a certain level of grid independence (with Fiodar Kazhamiaka)
- Determining when to resize home energy storage systems (with Jan Deller)
Misc.
- Designing an index to measure researcher influence and also identify potential research fraud (with Ankai Jie)
- Better teleconferncing (with David Adeboye and Anil Madhavpeddy)
Completed
Fall 2019
- Conflict resolution for hot keys in Fabric (with Christian Gorenflo and Lukasz Golab)
- Using RFID-based sensors for determining soil moisture level (with Ju Wang and Omid Abari)
Summer 2019
- Improving the performance of Hyperledger Fabric. We've already got it to [20,000 tps (see FastFabric), and our goal is to get to 100,000 tps by and further parallelizing the committer peer (with Christian Gorenflo and Lukasz Golab)
- Using Fabric to provide an audit trail for electric vehicle charging (with Christian Gorenflo, Lukasz Golab, and SWTCH EV Inc.)
- Using deep neural networks to compute optimal (MPC-computed) storage operation strategies (with Fiodar Kazhamiaka and Catherine Rosenberg)
- Using cloud cover and solar panel images to detect panel soiling and shadowing (with Yingjie Chen)
Spring 2019
- Using IoT to reduce energy costs of lighting (with Yerbol Aussat)
- Managing data consent on Fabric (with Rishav Agarwal, Dhruv Kumar, Pedro Velmovitsky, Plinio Morita, and Lukasz Golab)
- Reducing the cost of personal thermal comfort systems (with Costin Ograda-Bratu)
Winter 2019
- Using computer vision algorithms to estimate the degree of snow cover on solar panels (with Jia Ying Lin)
- Improving the accuracy of RFID-based sensors (with Ju Wang and Omid Abari)
- Designing and building an off-grid system to capture e-scooter activity and accidents (with Tingyun Liu and Lime Inc.)
- Improving the description of research outcomes from my energy systems research (with Shela Qiu)
Last updated Jan 9, 2020