Wayes Tushar

Electrical and Electronic Engineering · 2012–2020

A researcher in the Science corpus: 10 papers; trusts 18 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Wayes Tushar trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Thomas Morstyn
  2. Tamer Basar
  3. Dimitri P. Bertsekas
  4. Jiawen Kang
  5. C. Long
  6. Amrit Paudel
  7. L. Ye
  8. Niklas Rotering
  9. Yue Zhou
  10. Walid Saad

Who trusts Wayes Tushar overall

  1. Chau Yuen
  2. Joohyung Lee
  3. Tapan Kumar Saha
  4. Jun Guo
  5. Billy Pik Lik Lau
  6. Yue Zhou
  7. Jun Kyun Choi
  8. H. Vincent Poor
  9. David B. Smith
  10. Moshe Zukerman

Papers from Wayes Tushar's perspective

Ordered by how strongly the researchers Wayes Tushar trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Enabling Localized Peer-to-Peer Electricity Trading Among Plug-in Hybrid Electric Vehicles Using Consortium Blockchains (IEEE Transactions on Industrial Informatics)
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Energy-Sharing Model With Price-Based Demand Response for Microgrids of Peer-to-Peer Prosumers (IEEE Transactions on Power Systems)
  5. Bilateral Contract Networks for Peer-to-Peer Energy Trading (IEEE Transactions on Smart Grid)
  6. Security and Privacy in Decentralized Energy Trading Through Multi-Signatures, Blockchain and Anonymous Messaging Streams (IEEE Transactions on Dependable and Secure Computing)
  7. Transforming Energy Networks via Peer to Peer Energy Trading: Potential of Game Theoretic Approaches (IEEE Signal Processing Magazine)
  8. Peer-to-Peer Energy Trading in a Prosumer-Based Community Microgrid: A Game-Theoretic Model (IEEE transactions on industrial electronics (1982. Print))
  9. Consortium Blockchain for Secure Energy Trading in Industrial Internet of Things (IEEE Transactions on Industrial Informatics)
  10. Peer-to-peer energy sharing through a two-stage aggregated battery control in a community Microgrid (Applied Energy)

Their papers