Working on

Revision as of 17:09, 27 April 2022 by Keshav (talk | contribs)

What I'm working on

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

Energy systems

  • Using Reinforcement Learning to control the operation of storage systems; specifically developing a tool that allows multiple RL algorithms to be tested on the same set of buildings (with Arduin Findeis and Fiodar Kazhamiaka)
  • Studying the impact of climate change on the transmission grid (with Petr Dolezal and Emily Shuckburgh)
  • Controlling EV charging to allow condominiums and commercial building to become 24/7 renewable-powered (with Harsimrat Bhundar and Lukasz Golab, with support from SWTCH Energy, Inc.)
  • Studying the impact of soiling on solar panels (with Abhinav Bora (Waterloo), Sharat Singh and Hugh Hunt (Quadrical))

Environment and conservation

  • Cambridge Centre for Carbon Credits (with Tom Swinfield, Anil Madhavapeddy, David Coomes, and Andrew Balmford)
  • Estimating the rate of carbon sequestration in tropical forests (with Amelia Holcomb, Simon Mathis and David Coomes)
  • Modelling the value of impermanent sequestration (with Tom Swinfield, Andrew Balmford, Ben Groom and Frank Venmans)
  • Using a blockchain to store semi-fungible carbon credit tokens (with Derek Sorensen and Anil Madhavapeddy)
  • Making forest plot measurements faster (with Amelia Holcomb and Sofia Stefanovic)
  • Identifying till/no-till agriculture from remote sensing (with Madeline Lisa's, Clement Atzberger, and Andrew Blake)

Misc.

  • Designing an index to measure researcher influence and also identify potential research fraud (with Ankai Jie)

Completed work

Sadly, most of my work (as with many other researchers) has led nowhere... As Lord Kelvin said, “One word characterises the most strenuous of the efforts for the advancement of science that I have made perseveringly during fifty-five years; that word is FAILURE.”

Summer 2021

  • Estimating the reduction in lighting levels of commercial buildings from Earth observation (with Abhinav Bora)
  • Using DNNs to extrapolate Earth observation data to cloudy regions (with Harsimrat Bhundar and Clement Atzberger)
  • Privacy-preserving crowdsensing (with Bihan Liu, Steven Chai, and Fiodar Kazhamiaka)

Lent 2021

  • Using Time-of-flight sensors on mobile phones for depth-assisted segmentation of tree images (with Bill Tong, Megan Penny, and Amelia Holcomb)
  • Linking Earth observation to carbon sequestration certificates (with Alan Marko, Tom Shan, and David Liu)
  • Computing the solar and storage system sizing for the British Antarctic Survey base in Rothera, Antarctica (with Brad Huang, Fiodar Kazhamiaka, and Nopi Exizidou)
    • B.G. Huang, F. Kazhamiaka, and S. Keshav, Sizing Solar Panels and Storage for Multiple Roofs, To Appear, Proc. ACM eEnergy, June 2021.
  • Speeding up Hyperledger Fabric with pre-validation (with Rishav Agarwal, Christian Gorenflo, and Lukasz Golab)
  • Implementing RCanopus (with Christian Gorenflo, Ashwin Sekhari, Qingnan Duan, Linguan Wang, Lukasz Golab, Bernard Wong, and (at UMass) Stephen Lee and Prashant Shenoy)
  • Creating a trusted marketplace for nature-based solutions (with Tom Shan, Hector Wei, Derek Sorensen, Anil Madhavapeddy)

Fall 2020

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," 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)

Winter/Spring 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
  • Using deep neural networks to compute optimal (MPC-computed) storage operation strategies
  • 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," 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)
  • 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 May 2021

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