Difference between revisions of "Working on"

 
(51 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==
* 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)
+
* Joint optimal placement, sizing, and operation of PV, storage, and bi-directional EVs (with Anais Berkes)
* Studying the impact of climate change on the transmission grid (with Petr Dolezal and Emily Shuckburgh)
+
* Policy recommendations to exploit the synergy of residential PV, bi-directional TVs, and working from home (with Anais Berkes and David Reiner)
* 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 system configuration on the energy usage of LLMs (with Grant Wilkins and Richard Mortier)
* Studying the impact of soiling on solar panels (with Abhinav Bora (Waterloo), Sharat Singh and Hugh Hunt (Quadrical))
+
 
 +
==Extreme weather impact and mitigation==
 +
* Studying how urban buildings can cope with extreme weather events (with Livia Capol, ETH and Zoltan Nagy, UT Austin)
 +
* Studying the impact of extreme weather on the transmission grid (with Enming Liang and Minghua Chen (both CityU HK))
  
 
==Environment and conservation==
 
==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)
 +
* 3D forest structure reconstruction using monocular vision and DNNs (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)
  
* [https://4c.cst.cam.ac.uk/ Cambridge Centre for Carbon Credits] (with Tom Swinfield, Anil Madhavapeddy, David Coomes, and Andrew Balmford)
+
===Monitoring and remote sensing===
* Estimating the rate of carbon sequestration in tropical forests (with Amelia Holcomb, Simon Mathis and David Coomes)
+
* Identifying land use from spatial-spectral-temporal  remote sensing using self-supervised learning (with Madeline Lisaius, Clement Atzberger, and Andrew Blake)
* Modelling the value of impermanent sequestration (with Tom Swinfield, Andrew Balmford, Ben Groom and Frank Venmans)
+
* Using CNNs and computer vision for low-cost and realtime insect biodiversity measurement (with Sachin Matthew, Matteo Redana, and Lynn Dicks)
* Using a blockchain to store semi-fungible carbon credit tokens (with Derek Sorensen and Anil Madhavapeddy)
+
* Low-cost sensing of soil moisture (with Ju Wang (Northwest U., China, and Omid Abari, UCLA)
* Making forest plot measurements faster (with Amelia Holcomb and Sofia Stefanovic)
+
* Developing algorithms for trunk diameter estimation in complex environments using game engine-based training (with Frank Feng and Yihang She)
* Identifying till/no-till agriculture from remote sensing (with Madeline Lisa's, Clement Atzberger, and Andrew Blake)
+
* Monitoring wild boar and lynx population in the Carpathians (with Tom Ratsakatika and Ruben Iosif (carpathian.org))
  
 
==Misc.==
 
==Misc.==
Line 24: Line 34:
 
[[Completed work]]
 
[[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.”
+
-----
 
+
Last updated March 2024
===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)
 
** A. Holcomb, B. Tong, M. Penny, and S. Keshav, [https://svr-sk818-web.cl.cam.ac.uk/keshav/wiki/images/0/01/Mobisys21postersdemos-final85_copy.pdf 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 [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)
 
* Creating a trusted marketplace for nature-based solutions (with Tom Shan, Hector Wei, Derek Sorensen, Anil Madhavapeddy)
 
 
 
===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, [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," ''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)
 
** [https://github.com/yerbolaussat/Analog-meter-reader Github link to source code]
 
* Better teleconferencing (with David Adeboye)
 
**[https://www.cl.cam.ac.uk/techreports/UCAM-CL-TR-952.pdf Master's report]
 
* 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.
 
 
 
===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," ''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 May 2021
 

Latest revision as of 16:03, 9 May 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...

Energy systems

  • Joint optimal placement, sizing, and operation of PV, storage, and bi-directional EVs (with Anais Berkes)
  • 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 system configuration on the energy usage of LLMs (with Grant Wilkins and Richard Mortier)

Extreme weather impact and mitigation

  • Studying how urban buildings can cope with extreme weather events (with Livia Capol, ETH and Zoltan Nagy, UT Austin)
  • Studying the impact of extreme weather on the transmission grid (with Enming Liang and Minghua Chen (both CityU HK))

Environment and conservation

Carbon estimation and credits

  • Cambridge Centre for Carbon Credits
  • Studying the impact of forest degradation on pan-tropical carbon stock and structure (with Amelia Holcombe and David Coomes)
  • 3D forest structure reconstruction using monocular vision and DNNs (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

  • Identifying land use from spatial-spectral-temporal remote sensing using self-supervised learning (with Madeline Lisaius, Clement Atzberger, and Andrew Blake)
  • Using CNNs and computer vision for low-cost and realtime insect biodiversity measurement (with Sachin Matthew, Matteo Redana, and Lynn Dicks)
  • Low-cost sensing of soil moisture (with Ju Wang (Northwest U., China, and Omid Abari, UCLA)
  • Developing algorithms for trunk diameter estimation in complex environments using game engine-based training (with Frank Feng and Yihang She)
  • Monitoring wild boar and lynx population in the Carpathians (with Tom Ratsakatika and Ruben Iosif (carpathian.org))

Misc.

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

Completed work


Last updated March 2024