(Energy systems)
 
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==Blockchain Research==
 
==Blockchain Research==
  
* Improving the performance of Hyperledger Fabric. We've already got it to [20,000 tps (see [https://arxiv.org/abs/1901.00910 FastFabric]), and our goal is to get to 100,000 tps while adding support for Byzantine fault tolerance. Our approach is based on [https://arxiv.org/abs/1810.09300 RCanopus] and further parallelizing the committer peer (with Christian Gorenflo, Qingnan Duan, Linguan Wang, Bernard Wong, and (at UMass) Stephen Lee and Prashant Shenoy)
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* Improving the performance of Hyperledger Fabric. We've already got it to [20,000 tps (see [https://arxiv.org/abs/1901.00910 FastFabric]), and our goal is to get to 100,000 tps by and further parallelizing the committer peer (with Christian Gorenflo and Lukasz Golab)
  
* Designing a trusted smart meter to ensure that data that enters a blockchain can be relied upon. (with Dimcho Karakashev)
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* Implementing [https://arxiv.org/abs/1810.09300 RCanopus] and further parallelizing the committer peer (with Christian Gorenflo, Ashwin Sekhari, Qingnan Duan, Linguan Wang, Lukasz Golab, Bernard Wong, and (at UMass) Stephen Lee and Prashant Shenoy)
  
* Managing patient data consent on Fabric (with Rishav Agarwal, Dhruv Kumar, Pedro Velmovitsky, Plinio Morita, and Lukasz Golab)
+
* Designing a trusted smart meter to ensure that data that enters a blockchain can be relied upon. (with Dimcho Karakashev)
  
 
* Using Fabric to provide an audit trail for electric vehicle charging (with Christian Gorenflo, Lukasz Golab, and SWTCH EV Inc.)
 
* Using Fabric to provide an audit trail for electric vehicle charging (with Christian Gorenflo, Lukasz Golab, and SWTCH EV Inc.)
  
* Conflict resolution for hot keys in Fabric (with Christian Gorenflo and Lukasz Golab)
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* [https://arxiv.org/pdf/1906.11229 Conflict resolution] for hot keys in Fabric (with Christian Gorenflo and Lukasz Golab)
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* Enhancing Fabric with quantum-safe cryptographic algorithms (with Bhargav Das, Geovandro Pereira, and Michele Mosca)
  
 
==Energy systems==
 
==Energy systems==
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* Using deep neural networks to compute optimal (MPC-computed) storage operation strategies (with Fiodar Kazhamiaka and Catherine Rosenberg)
 
* Using deep neural networks to compute optimal (MPC-computed) storage operation strategies (with Fiodar Kazhamiaka and Catherine Rosenberg)
  
* Using computer vision algorithms to estimate the degree of snow cover on solar panels (with Jia Ying Lin)
+
* Using cloud cover and solar panel images to detect panel soiling and shadowing (with Yingjie Chen)
  
* Using IoT to reduce energy costs of lighting (with Yerbol Aussat)
+
* Instrumenting UW campus buildings to measure electricity, chilled water, and steam heat consumption
  
* Reducing the cost of personal thermal comfort systems (with Costin Ograda-Bratu)
 
  
 
* Creating a website for homeowners and businesses to determine how many solar panels and how big a storage battery to buy to achieve a certain level of grid independence (with Fiodar Kazhamiaka)
 
* Creating a website for homeowners and businesses to determine how many solar panels and how big a storage battery to buy to achieve a certain level of grid independence (with Fiodar Kazhamiaka)
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==RFID==
 
==RFID==
  
* Improving the accuracy of RFID-based sensors (with Ju Wang and Omid Abari)
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* Using RFID-based sensors for determining soil moisture level (with Ju Wang and Omid Abari)
  
 
==Misc.==
 
==Misc.==
 
* 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)
 
  
 
* 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)
 +
  
 
=Upcoming=
 
=Upcoming=
  
 
* Comparing permissioned blockchains to distributed databases (with Lukaz Golab and (at UCSB) Divy Agarwal)
 
* Comparing permissioned blockchains to distributed databases (with Lukaz Golab and (at UCSB) Divy Agarwal)
 
* Enhancing Fabric with quantum-safe cryptographic algorithms
 
  
 
* Using blockchains for energy systems
 
* Using blockchains for energy systems
  
 +
 +
 +
=Completed=
 +
===Spring 2019===
 +
 +
* Using IoT to reduce energy costs of lighting (with Yerbol Aussat)
 +
 +
* Managing data consent on Fabric (with Rishav Agarwal, Dhruv Kumar, Pedro Velmovitsky, Plinio Morita, and Lukasz Golab)
 +
 +
* 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)
 +
 +
* 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 March 25, 2019
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Last updated June 4, 2019

Latest revision as of 08:45, 9 September 2019

What I'm Working On

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

Blockchain Research

  • Improving the performance of Hyperledger Fabric. We've already got it to [20,000 tps (see FastFabric), and our goal is to get to 100,000 tps by and further parallelizing the committer peer (with Christian Gorenflo and Lukasz Golab)
  • Implementing RCanopus and further parallelizing the committer peer (with Christian Gorenflo, Ashwin Sekhari, Qingnan Duan, Linguan Wang, Lukasz Golab, Bernard Wong, and (at UMass) Stephen Lee and Prashant Shenoy)
  • Designing a trusted smart meter to ensure that data that enters a blockchain can be relied upon. (with Dimcho Karakashev)
  • Using Fabric to provide an audit trail for electric vehicle charging (with Christian Gorenflo, Lukasz Golab, and SWTCH EV Inc.)
  • Enhancing Fabric with quantum-safe cryptographic algorithms (with Bhargav Das, Geovandro Pereira, and Michele Mosca)

Energy systems

  • Using deep neural networks to compute optimal (MPC-computed) storage operation strategies (with Fiodar Kazhamiaka and Catherine Rosenberg)
  • Using cloud cover and solar panel images to detect panel soiling and shadowing (with Yingjie Chen)
  • Instrumenting UW campus buildings to measure electricity, chilled water, and steam heat consumption


  • Creating a website for homeowners and businesses to determine how many solar panels and how big a storage battery to buy to achieve a certain level of grid independence (with Fiodar Kazhamiaka)

RFID

  • Using RFID-based sensors for determining soil moisture level (with Ju Wang and Omid Abari)

Misc.

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


Upcoming

  • Comparing permissioned blockchains to distributed databases (with Lukaz Golab and (at UCSB) Divy Agarwal)
  • Using blockchains for energy systems


Completed

Spring 2019

  • Using IoT to reduce energy costs of lighting (with Yerbol Aussat)
  • Managing data consent on Fabric (with Rishav Agarwal, Dhruv Kumar, Pedro Velmovitsky, Plinio Morita, and Lukasz Golab)
  • 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)
  • 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 June 4, 2019