Difference between revisions of "Working on"

 
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=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...
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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 (with Arduin Findeis and Fiodar Kazhamiaka)
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* Joint optimal placement, sizing, and operation of PV, storage, and bi-directional EVs (with Anais Berkes)
* Designing tariff schemes for resilient home customers with storage systems (with Nastaran Nasteri, Yashar Ghiassi-Farrokhfal,Wolf Ketter, and John Collins)
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* 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)
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* Studying the impact of system configuration on the energy usage of LLMs (with Grant Wilkins and Richard Mortier)
* Controlling EV charging to allow condominiums and commercial building to become 100% renewable-powered (with Harsimrat Bhundar and Lukasz Golab)
 
  
==Forest conservation and restoration==
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==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))
  
* Creating a trusted marketplace for nature-based solutions (with Tom Shan, Hector Wei, Tom Swinfield, Anil Madhavapeddy, and Andrew Balmford)
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==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 Andrew Pellegrini)
 +
* Quantifying carbon sequestration in regrowing forests in the Brazilian Atlantic (with Felipe Begliomini and David Coomes)
 +
 
 +
===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.==
 
==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)
 
* Designing an index to measure researcher influence and also identify potential research fraud (with Ankai Jie)
  
=Completed work and outcomes=
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[[Completed work]]
 
 
===Summer 2021===
 
* Estimating the reduction in lighting levels of commercial buildings from Earth observation (with Abhinav Bora)
 
* Estimating the rate of carbon sequestration in tropical forests (with Simon Mathis and David Coomes)
 
 
 
===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)
 
 
 
===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)
 
  
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Last updated May 2021
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Last updated March 2024

Latest revision as of 10:49, 18 March 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 Andrew Pellegrini)
  • Quantifying carbon sequestration in regrowing forests in the Brazilian Atlantic (with Felipe Begliomini and David Coomes)

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