Difference between revisions of "Working on"

 
(102 intermediate revisions by the same user not shown)
Line 1: Line 1:
 
=What I'm working on=
 
=What I'm working on=
  
This page is my attempt to keep track of all the things I'm working on...
+
This page is my (not always current) attempt to keep track of all the things I'm working on...
  
==Energy systems==
+
#Energy systems
* Designing tariff schemes for resilient home customers with storage systems (with Nastaran Nasteri, Yashar Ghiassi-Farrokhfal,Wolf Ketter, and John Collins)
+
## Policy recommendations to exploit the synergy of residential PV, bi-directional TVs, and working from home (with Anais Berkes and David Reiner)
* Studying the impact of climate change on the transmission grid (with Petr Dolezal and Emily Shuckburgh)
+
#Extreme weather impact and mitigation
* Estimating the reduction in lighting levels of commercial buildings from Earth observation (with Shivam Saraf and Abhinav Bora)
+
##Studying the impact of extreme weather on the transmission grid (with Enming Liang and Minghua Chen (both CityU HK))
* Computing the solar and storage system sizing for the British Antarctic Survey base in Rothera, Antarctica (with Brad Huang, Fiodar Kazhamiaka, and Nopi Exizidou)
+
#Environment and conservation
 +
##Carbon estimation and credits
 +
###[https://4c.cst.cam.ac.uk Cambridge Centre for Carbon Credits]
 +
###Studying the impact of forest degradation on pan-tropical carbon stock and structure (with Amelia Holcombe and David Coomes)
 +
###Estimating forest structure parameters using UAV-based monocular vision (with Yihang She, David Coomes, and Andrew Blake)
 +
###Studying the impact of wildfires on forest carbon stock (with Jovana Knezevic, David Coomes, and Adam Pellegrini)
 +
###Quantifying carbon sequestration in regrowing forests in the Brazilian Atlantic (with Felipe Begliomini and David Coomes)
 +
###Ex-ante quantification of carbon credits from avoided deforestation (with E-Ping Rau, Tom Swinfield, and Abby Williams)
 +
##Monitoring and remote sensing
 +
###Estimating the impact of small field size on Barlow Twin land use representations (with Madeleine Lisaius, Clement Atzberger (Mantle Labs) and Andrew Blake (Mantle Labs))
 +
###Low-cost sensing of soil moisture (with Ju Wang (Northwest U., China))
 +
###Developing algorithms for trunk diameter estimation in complex environments using game engine-based training (with Frank Feng and Yihang She)
 +
##Barlow Twin project (with Frank Feng, Madeleine Lisaius, Sadiq Jaffer, Clement Atzberger, David Coomes, and Anil Madhavapeddy)
 +
###Improving Barlow-Twin representations derived from Sentinel 2 observations
 +
###Creating a system for rapid creation of the model
  
==Forest conservation and restoration==
+
[[Completed work]]
  
* Improving the performance of Individual-Based Models for forests (with Siyi Ji)
+
-----
* Linking Earth observation to carbon sequestration certificates (with Tom Shan)
+
Last updated September 2024
* Using Time-of-flight sensors on mobile phones for geometric modelling of forest inventory (with Amelia Holcomb)
 
* Developing an app for depth-assisted segmentation of tree images (with Megan Penny and Amelia Holcomb)
 
 
 
==Blockchains==
 
 
 
* Implementing [https://arxiv.org/abs/1810.09300 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=
 
===Fall 2020===
 
* Curating datasets collected from ISS4E over the past decade (with Siqing Huo)
 
** O. Ardakanian, S. Huo, and S. Keshav, 2020, [https://doi.org/10.5683/SP2/R4SVBF 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, [https://doi.org/10.5683/SP2/ITQPHZ 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, [https://doi.org/10.5683/SP2/X30EPQ 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, "[https://doi.org/10.5683/SP2/3BCADM 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, "[https://doi.org/10.5683/SP2/2NWMDY 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,  "[https://doi.org/10.5683/SP2/7OAETS 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," 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)
 
** [https://github.com/yerbolaussat/Analog-meter-reader 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, "[https://svr-sk818-web.cl.cam.ac.uk/keshav/wiki/images/b/b7/Resizing_storage-camera.pdf 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===
 
* [https://arxiv.org/pdf/1906.11229 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, [https://dl.acm.org/citation.cfm?id=3328283 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, [https://dl.acm.org/citation.cfm?id=3331032 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, [https://dl.acm.org/citation.cfm?id=3326084 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 September 29, 2020
 

Latest revision as of 14:47, 15 November 2024

What I'm working on

This page is my (not always current) attempt to keep track of all the things I'm working on...

  1. Energy systems
    1. Policy recommendations to exploit the synergy of residential PV, bi-directional TVs, and working from home (with Anais Berkes and David Reiner)
  2. Extreme weather impact and mitigation
    1. Studying the impact of extreme weather on the transmission grid (with Enming Liang and Minghua Chen (both CityU HK))
  3. Environment and conservation
    1. Carbon estimation and credits
      1. Cambridge Centre for Carbon Credits
      2. Studying the impact of forest degradation on pan-tropical carbon stock and structure (with Amelia Holcombe and David Coomes)
      3. Estimating forest structure parameters using UAV-based monocular vision (with Yihang She, David Coomes, and Andrew Blake)
      4. Studying the impact of wildfires on forest carbon stock (with Jovana Knezevic, David Coomes, and Adam Pellegrini)
      5. Quantifying carbon sequestration in regrowing forests in the Brazilian Atlantic (with Felipe Begliomini and David Coomes)
      6. Ex-ante quantification of carbon credits from avoided deforestation (with E-Ping Rau, Tom Swinfield, and Abby Williams)
    2. Monitoring and remote sensing
      1. Estimating the impact of small field size on Barlow Twin land use representations (with Madeleine Lisaius, Clement Atzberger (Mantle Labs) and Andrew Blake (Mantle Labs))
      2. Low-cost sensing of soil moisture (with Ju Wang (Northwest U., China))
      3. Developing algorithms for trunk diameter estimation in complex environments using game engine-based training (with Frank Feng and Yihang She)
    3. Barlow Twin project (with Frank Feng, Madeleine Lisaius, Sadiq Jaffer, Clement Atzberger, David Coomes, and Anil Madhavapeddy)
      1. Improving Barlow-Twin representations derived from Sentinel 2 observations
      2. Creating a system for rapid creation of the model

Completed work


Last updated September 2024