Working on

What I'm working on

This page is my attempt to keep track of all the things I'm working on...

Energy systems

• Designing tariff schemes for resilient home customers with storage systems (with Nastaran Nasteri, Yashar Ghiassi-Farrokhfal,Wolf Ketter, and John Collins)
• Studying the impact of climate change on the transmission grid (with Petr Dolezal and Emily Shuckburgh)
• Estimating the reduction in lighting levels of commercial buildings from Earth observation (with Shivam Saraf and Abhinav Bora)
• Computing the solar and storage system sizing for the British Antarctic Survey base in Rothera, Antarctica (with Brad Huang, Fiodar Kazhamiaka, and Nopi Exizidou)
• Curating datasets collected from ISS4E over the past decade (with Siqing Huo)

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)
• 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)
• Speeding up Hyperledger Fabric with pre-validation (with Rishav Agarwal, Christian Gorenflo, and Lukasz Golab)
• Supporting time-based smart contracts in Hyperledger Fabric (with Aritra Mitra, Christian Gorenflo, and Lukasz Golab)

Misc.

• Crowdsensing data (with Bihan Liu and Fiodar Kazhamiaka)
• Using DNNs to extrapolate Earth observation data to cloudy regions (with Harsimrat Bhundar and Clement Atzberger)
• 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)
  • D. Karakashev, S. Gorbunov, and S. Keshav, "Making Renewable Energy Certificates Efficient, Trustworthy, and Anonymous," To Appear Proc. IEEE SmartGridComm, November 2020.
• 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)
• 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)
• Enhancing Hyperledger Fabric with quantum-safe cryptographic algorithms (with Bhargav Das, Amelia Holcombe, Geovandro Pereira, and Michele Mosca)

Winter/Spring 2020

• Raspberry-Pi system to read analog meters (with Ivy Liu, Yerbol Aussat, and Costin Ograda-Bratu)
  • Github link to source code
• Better teleconferencing (with David Adeboye)
  • Master's thesis
• Determining when to resize home energy storage systems
  • Bachelor's thesis
  • J. Deller and S. Keshav, "The Benefits of Dynamically Resizing Storage," Proc. 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," 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," 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," 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)

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Last updated September 29, 2020