Sotabase

Career

· Adjunct Professor, IIIT Delhi2022–2023
· Visiting Professor, KAUST2022–2023
· Adjunct Professor, Plaksha University2022–2023
· VAJRA Adjunct Faculty, Indian Institute of Science (IISc) Bangalore2018–2019
· Reilly Professor and University Faculty Scholar, Purdue University2015–2014
· Adjunct Assistant Professor, Columbia University2013–2014
· Senior Member of Technical Staff-Research, AT&T Labs Research2010–2014
· PhD Student, Princeton University2010–
· MA, Princeton University2007–
· Bachelor of Technology, Indian Institute of Technology, Kanpur2005–

Publications (782)

Design and Characterization of a Full-Duplex Multiantenna System for WiFi Networks
IEEE Transactions on Vehicular Technology · 2012
538
cited
Efficient Low Rank Tensor Ring Completion
IEEE International Conference on Computer Vision · 2017
193
cited
Wide Compression: Tensor Ring Nets
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition · 2018
183
cited
DeepPool: Distributed Model-Free Algorithm for Ride-Sharing Using Deep Reinforcement Learning
IEEE transactions on intelligent transportation systems (Print) · 2019
174
cited
From Federated to Fog Learning: Distributed Machine Learning over Heterogeneous Wireless Networks
IEEE Communications Magazine · 2020
155
cited
Prometheus: toward quality-of-experience estimation for mobile apps from passive network measurements
Workshop on Mobile Computing Systems and Applications · 2014
151
cited
Low-Tubal-Rank Tensor Completion Using Alternating Minimization
IEEE Transactions on Information Theory · 2016
133
cited
Iterative Dynamic Water-Filling for Fading Multiple-Access Channels With Energy Harvesting
IEEE Journal on Selected Areas in Communications · 2014
127
cited
Modeling web quality-of-experience on cellular networks
ACM/IEEE International Conference on Mobile Computing and Networking · 2014
119
cited
Exploiting Mobility in Proportional Fair Cellular Scheduling: Measurements and Algorithms
IEEE/ACM Transactions on Networking · 2016
117
cited
Multi-Stage Hybrid Federated Learning Over Large-Scale D2D-Enabled Fog Networks
IEEE/ACM Transactions on Networking · 2020
111
cited
Heat-assisted detection and ranging
Nature · 2023
106
cited
Adaptive Sampling of RF Fingerprints for Fine-Grained Indoor Localization
IEEE Transactions on Mobile Computing · 2015
99
cited
GADMM: Fast and Communication Efficient Framework for Distributed Machine Learning
Journal of machine learning research · 2019
89
cited
Joint Latency and Cost Optimization for Erasure-Coded Data Center Storage
IEEE/ACM Transactions on Networking · 2014
89
cited
Secrecy Capacity of a Class of Orthogonal Relay Eavesdropper Channels
Information Theory and Applications Workshop · 2008
87
cited
A Distributed Model-Free Ride-Sharing Approach for Joint Matching, Pricing, and Dispatching Using Deep Reinforcement Learning
IEEE transactions on intelligent transportation systems (Print) · 2020
81
cited
Q-GADMM: Quantized Group ADMM for Communication Efficient Decentralized Machine Learning
IEEE Transactions on Communications · 2019
73
cited
Diazinon-chemistry and environmental fate: a California perspective.
Reviews of environmental contamination and toxicology · 2013
71
cited
FlexPool: A Distributed Model-Free Deep Reinforcement Learning Algorithm for Joint Passengers and Goods Transportation
IEEE transactions on intelligent transportation systems (Print) · 2020
71
cited
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