Difference between revisions of "Working on"
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==Forest conservation and restoration== | ==Forest conservation and restoration== | ||
| − | * Improving the performance of Individual-Based Models for forests (with | + | * Improving the performance of Individual-Based Models for forests (with Siyi Ji) |
| − | * Linking Earth observation to carbon sequestration certificates (with | + | * Linking Earth observation to carbon sequestration certificates (with Tom Shan) |
* Estimating IUCN Red List status of birds from Earth observation (with David Wesby, David Coomes, BirdLife International, and the Royal Society for the Protection of Birds) | * Estimating IUCN Red List status of birds from Earth observation (with David Wesby, David Coomes, BirdLife International, and the Royal Society for the Protection of Birds) | ||
| − | * Using Time-of-flight sensors on mobile phones for geometric modelling of forest inventory (with Amelia Holcomb | + | * Using Time-of-flight sensors on mobile phones for geometric modelling of forest inventory (with Amelia Holcomb) |
==Blockchains== | ==Blockchains== | ||
Revision as of 15:56, 28 September 2020
Contents
What I'm Working On
This page is my attempt to keep track of all the things I'm working on...
Forest conservation and restoration
- Improving the performance of Individual-Based Models for forests (with Siyi Ji)
- Linking Earth observation to carbon sequestration certificates (with Tom Shan)
- Estimating IUCN Red List status of birds from Earth observation (with David Wesby, David Coomes, BirdLife International, and the Royal Society for the Protection of Birds)
- Using Time-of-flight sensors on mobile phones for geometric modelling of forest inventory (with Amelia Holcomb)
Blockchains
- Implementing RCanopus (with Christian Gorenflo, Ashwin Sekhari, Qingnan Duan, Linguan Wang, Lukasz Golab, Bernard Wong, and (at UMass) Stephen Lee and Prashant Shenoy)
- Enhancing Hyperledger Fabric with quantum-safe cryptographic algorithms (with Bhargav Das, Amelia Holcombe, Geovandro Pereira, and Michele Mosca)
Energy systems
- Creating a website for homeowners and businesses to determine how many solar panels and how large a storage battery to buy to achieve a certain level of grid independence (with Brad Huang and Fiodar Kazhamiaka)
- Estimating the solar and storage system sizing for the British Antarctic Survey base in Rothera, Antarctica (with Brad Huang, Fiodar Kazhamiaka, and Nopi Exizidou)
Misc.
- Designing an index to measure researcher influence and also identify potential research fraud (with Ankai Jie)
Completed work and outcomes
Summer 2020
- Designing a trusted smart meter to ensure that data that enters a blockchain can be relied upon. (with Dimcho Karakashev and Sergey Gorbunov)
Winter/Spring 2020
- Raspberry-Pi system to read analog meters (with Ivy Liu, Yerbol Aussat, and Costin Ograda-Bratu)
- Better teleconferencing (with David Adeboye)
- Master's thesis in preparation
- Determining when to resize home energy storage systems
- Bachelor's thesis
- J. Deller and S. Keshav, "The Benefits of Dynamically Resizing Storage," To Appear, Energy Storage Workshop at ACM eEnergy 2020,, June 2020.
- Low-cost humidity sensing for greenhouses
- J. Wang, L. Chang, S. Aggarwal, O. Abari, and S. Keshav, "Soil Moisture Sensing with Commodity RFID Systems," To Appear, Proc. ACM Mobisys, 2020.
Fall 2019
- Conflict resolution for hot keys in Fabric
- C. Gorenflo, L. Golab, S. Keshav, "XOX Fabric: A hybrid approach to blockchain transaction execution," To Appear, Proc. IEEE ICBC, 2020.
- Using RFID-based sensors for determining soil moisture level
- J. Wang, L. Chang, S. Aggarwal, O. Abari, and S. Keshav, "Soil Moisture Sensing with Commodity RFID Systems," To Appear, Proc. ACM Mobisys, 2020.
Summer 2019
- Improving the performance of Hyperledger Fabric
- Gorenflo, S. Lee, L. Golab, S. Keshav. FastFabric: Scaling Hyperledger Fabric to 20,000 Transactions per Second, Proc. IEEE ICBC, May 2019.
- Using Fabric to provide an audit trail for electric vehicle charging
- C. Gorenflo, L. Golab, and S. Keshav, Mitigating Trust Issues in Electric Vehicle Charging using a Blockchain, Proc. ACM eEnergy 2019, June 2019.
- Using deep neural networks to compute optimal (MPC-computed) storage operation strategies
- F. Kazhamiaka, S. Keshav, and C. Rosenberg, Adaptive Battery Control with Neural Networks, Proc. AMLIES Workshop at ACM eEnergy 2019, June 2019.
- 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
- * R. Agarwal, D. Kumar , L. Golab, S. Keshav, "Consentio: Managing Consent to Data Access using Permissioned Blockchains," To Appear, Proc. IEEE ICBC, 2020.
- 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)
- J. Wang, O. Abari, L. Chang, and S. Keshav, Are RFID Sensing Systems Ready for the Real World?, Proc. Mobisys 2019, June 2019
- 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 June 10, 2020