What is he best known for?
The fields of study he is best known for:
- Computer network
- Statistics
- Algorithm
Suhas Diggavi mainly investigates Communication channel, Topology, Computer network, Wireless network and Upper and lower bounds.
The study incorporates disciplines such as Transmission, Electronic engineering and Data transmission in addition to Communication channel.
His Topology research is multidisciplinary, incorporating elements of Theoretical computer science, Telecommunications, Decoding methods, Network topology and Channel capacity.
The study incorporates disciplines such as Wireless ad hoc network and Constant in addition to Computer network.
His Wireless network study is concerned with the larger field of Wireless.
His Upper and lower bounds research includes elements of Relay channel and Combinatorics.
His most cited work include:
- Wireless Network Information Flow: A Deterministic Approach (812 citations)
- Secure Estimation and Control for Cyber-Physical Systems Under Adversarial Attacks (747 citations)
- Wireless Network Information Flow: A Deterministic Approach (598 citations)
What are the main themes of his work throughout his whole career to date?
Suhas Diggavi mainly focuses on Communication channel, Computer network, Algorithm, Theoretical computer science and Topology.
Suhas Diggavi combines subjects such as Upper and lower bounds, Decoding methods and Electronic engineering with his study of Communication channel.
His work deals with themes such as Relay channel, Random variable and Combinatorics, which intersect with Upper and lower bounds.
His Computer network research integrates issues from Wireless, Wireless network and Distributed computing.
His work in the fields of Algorithm, such as Computation, overlaps with other areas such as Source code.
His Topology study integrates concerns from other disciplines, such as Telecommunications and Interference.
He most often published in these fields:
- Communication channel (28.92%)
- Computer network (27.23%)
- Algorithm (22.17%)
What were the highlights of his more recent work (between 2016-2021)?
- Algorithm (22.17%)
- Theoretical computer science (17.11%)
- Communication channel (28.92%)
In recent papers he was focusing on the following fields of study:
Suhas Diggavi focuses on Algorithm, Theoretical computer science, Communication channel, Computer network and Topology.
The various areas that Suhas Diggavi examines in his Algorithm study include Gradient descent and Asynchronous communication.
His research in Communication channel intersects with topics in Optimization problem and Interference.
His Computer network study combines topics in areas such as Transmission and Key.
Suhas Diggavi focuses mostly in the field of Topology, narrowing it down to matters related to Independent and identically distributed random variables and, in some cases, Degrees of freedom.
In his research, Wireless is intimately related to Base station, which falls under the overarching field of CPU cache.
Between 2016 and 2021, his most popular works were:
- Straggler Mitigation in Distributed Optimization Through Data Encoding (91 citations)
- Qsparse-local-SGD: Distributed SGD with Quantization, Sparsification and Local Computations (78 citations)
- Secure State Estimation Against Sensor Attacks in the Presence of Noise (70 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Statistics
- Algorithm
His primary areas of investigation include Algorithm, Gradient descent, Computation, Rate of convergence and Theoretical computer science.
His work on Decoding methods as part of general Algorithm study is frequently linked to DNA sequencing, bridging the gap between disciplines.
In his study, which falls under the umbrella issue of Gradient descent, Computational complexity theory and Node is strongly linked to Error detection and correction.
His Theoretical computer science research is multidisciplinary, incorporating perspectives in Randomness, Server, Support vector machine and Heuristic.
Optimization problem and Communication channel are frequently intertwined in his study.
His Information theory research is multidisciplinary, incorporating elements of MIMO and Topology.
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