Prabal Dutta

Computer Networks and Communications · 2004–2022

A researcher in the Science corpus: 12 papers; trusts 68 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

• Computer Networks and Communications — 104 citations into it; #5,145 of 9,886 by trust here, #1,617 by citations
• Electrical and Electronic Engineering — 45 citations into it; #6,400 of 16,539 by trust here, #6,854 by citations
• Computer Vision and Pattern Recognition — 40 citations into it
• Artificial Intelligence — 37 citations into it
• Efficiency & Compression — 23 citations into it
• Hardware and Architecture — 14 citations into it
• Optimization & Training — 12 citations into it
• Model Architectures — 5 citations into it

Whom Prabal Dutta trusts overall

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

1. David E. Culler
2. Joseph Polastre
3. Wei Ye
4. Jason L. Hill
5. Jonathan Hui
6. Gilman Tolle
7. Robert Szewczyk
8. John S. Heidemann
9. Alec Woo
10. Yu-Chee Tseng

Who trusts Prabal Dutta overall

1. Federico Ferrari
2. Sandeep S. Kulkarni
3. Sujesha Sudevalayam
4. Abdelmalik Bachir
5. Limin Wang
6. Pei Huang
7. Marco Zimmerling
8. Purushottam Kulkarni
9. Anish Arora
10. Adam Dunkels

Papers from Prabal Dutta's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
4. Long Short-Term Memory
5. ImageNet: A large-scale hierarchical image database
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Attention is All you Need (Neural Information Processing Systems)
10. Wireless sensor networks for habitat monitoring (ACM International Conference on Wireless Sensor Networks and Applications)

Their papers

• POET: Training Neural Networks on Tiny Devices with Integrated Rematerialization and Paging (2022) — 54 citations
• Design of a wireless sensor network platform for detecting rare, random, and ephemeral events (2005) — 390 citations
• ExScal: elements of an extreme scale wireless sensor network (2005) — 368 citations
• Demo: Luxapose: indoor positioning with mobile phones and visible light (2014) — 431 citations
• Trio: enabling sustainable and scalable outdoor wireless sensor network deployments (2006) — 326 citations
• Practical asynchronous neighbor discovery and rendezvous for mobile sensing applications (2008) — 403 citations
• Training Neural Networks on Tiny Devices with Integrated Rematerialization and Paging (2022)
• An empirical study of low-power wireless (2010) — 373 citations
• Design and evaluation of a versatile and efficient receiver-initiated link layer for low-power wireless (2010) — 297 citations
• Design and implementation of a high-fidelity AC metering network (2009) — 339 citations
• Common Sense: participatory urban sensing using a network of handheld air quality monitors (2009) — 429 citations
• A line in the sand: a wireless sensor network for target detection, classification, and tracking (2004) — 997 citations