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

• Using Reinforcement Learning to control the operation of storage systems (with Arduin Findeis and Fiodar Kazhamiaka)
• 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)
• Controlling EV charging to allow condominiums and commercial building to become 100% renewable-powered (with Harsimrat Bhundar and Lukasz Golab)

Forest conservation and restoration

• Creating a trusted marketplace for nature-based solutions (with Tom Shan, Hector Wei, Derek Sorensen, 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)

Misc.

• Privacy-preserving crowdsensing (with Bihan Liu, Steven Chai, 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 2021

• Estimating the reduction in lighting levels of commercial buildings from Earth observation (with Abhinav Bora)

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)
  • A. Holcomb, B. Tong, M. Penny, and S. Keshav, Measuring Forest Carbon with Mobile Phones, Poster Proc. ACM Mobisys, Winner of the Best Poster Award, June 2021.

• 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)

Fall 2020

• Improving the performance of Individual-Based Models for forests (with Siyi Ji)
• Supporting time-based smart contracts in Hyperledger Fabric (with Aritra Mitra, Christian Gorenflo, and Lukasz Golab)
  • A. Mitra, C. Gorenflo, L. Golab, and S. Keshav, TimeFabric: Trusted Time for Hyperledger Fabric, To Appear, Proc. FAB, May 2021.
• Curating datasets collected from ISS4E over the past decade (with Siqing Huo)
  • O. Ardakanian, S. Huo, and S. Keshav, 2020, 6-second load measurement dataset,https://doi.org/10.5683/SP2/R4SVBF, University of Waterloo Dataverse, December 2020.
  • J.Y. Lin, C. Ograda-Bratu, S. Huo, and S. Keshav, 2020, Detecting Snow Covered Solar Panels Dataset, https://doi.org/10.5683/SP2/ITQPHZ, University of Waterloo Dataverse, December 2020.
  • S. Doubov, C. Ograda-Bratu, S. Huo, S. Keshav, 2020, Camera-based Occupancy Detection Dataset, https://doi.org/10.5683/SP2/X30EPQ, University of Waterloo Dataverse, December 2020.
  • Y. Aussat, C. Ograda-Bratu, S. Huo, S. Keshav, "Office Light Level dataset", https://doi.org/10.5683/SP2/3BCADM, University of Waterloo Dataverse, November 2020.
  • A. Rabbani, C. Ograda-Bratu, S. Huo, S. Keshav, "Personal thermal comfort and occupancy dataset", https://doi.org/10.5683/SP2/2NWMDY, University of Waterloo Dataverse, November 2020.
  • C. Gorenflo, I.Rio, L. Golab, C. Ograda-Bratu, S. Huo, S. Keshav, "Webike dataset", https://doi.org/10.5683/SP2/7OAETS, University of Waterloo Dataverse, November 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

• 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 report
• 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.

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," 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 May 2021