What is she best known for?
The fields of study she is best known for:
- Computer network
- Statistics
- Artificial intelligence
Her scientific interests lie mostly in Distributed computing, Wireless sensor network, Computer network, Algorithm and Communication channel.
Her work deals with themes such as Electric power system, Load balancing, Telecommunications network, Network topology and Smart grid, which intersect with Distributed computing.
She has researched Wireless sensor network in several fields, including Broadcast communication network, Gossip, Communications system, Distributed algorithm and Topology.
Anna Scaglione interconnects Wireless network, Wireless ad hoc network and Synchronization in the investigation of issues within Computer network.
Her Algorithm research is multidisciplinary, relying on both Statistics, Signal processing, Control theory and Fading.
Her Communication channel study is related to the wider topic of Telecommunications.
Her most cited work include:
- For the Grid and Through the Grid: The Role of Power Line Communications in the Smart Grid (878 citations)
- Optimal designs for space-time linear precoders and decoders (803 citations)
- Gossip Algorithms for Distributed Signal Processing (657 citations)
What are the main themes of her work throughout her whole career to date?
The scientist’s investigation covers issues in Algorithm, Distributed computing, Computer network, Mathematical optimization and Communication channel.
She usually deals with Algorithm and limits it to topics linked to Theoretical computer science and Network topology.
Her research investigates the connection between Distributed computing and topics such as Scheduling that intersect with issues in Synchronization.
Anna Scaglione is studying Wireless sensor network, which is a component of Computer network.
Her study looks at the relationship between Mathematical optimization and fields such as Electric power system, as well as how they intersect with chemical problems.
The Communication channel study combines topics in areas such as Decoding methods, Electronic engineering and Control theory.
She most often published in these fields:
- Algorithm (20.00%)
- Distributed computing (16.88%)
- Computer network (16.46%)
What were the highlights of her more recent work (between 2016-2021)?
- Mathematical optimization (13.54%)
- Algorithm (20.00%)
- Graph (4.17%)
In recent papers she was focusing on the following fields of study:
Anna Scaglione mostly deals with Mathematical optimization, Algorithm, Graph, Electric power system and Distributed computing.
Her Mathematical optimization research is multidisciplinary, incorporating elements of Stochastic process and Power system simulation.
Anna Scaglione combines Algorithm and Gene regulatory network in her studies.
Her Graph research incorporates elements of Optimization problem, Theoretical computer science, Signal processing and Graph.
The concepts of her Electric power system study are interwoven with issues in Reliability engineering, Data mining and Pipeline.
Her Distributed computing study incorporates themes from Cyber-attack, Multi-agent system, Active networking, Point and Reinforcement learning.
Between 2016 and 2021, her most popular works were:
- Optimal Pricing to Manage Electric Vehicles in Coupled Power and Transportation Networks (75 citations)
- Anomaly Detection Using Optimally Placed $\mu ext{PMU}$ Sensors in Distribution Grids (58 citations)
- Decentralized Frank–Wolfe Algorithm for Convex and Nonconvex Problems (41 citations)
In her most recent research, the most cited papers focused on:
- Statistics
- Computer network
- Artificial intelligence
Anna Scaglione focuses on Mathematical optimization, Graph, Algorithm, Phasor and Shared resource.
Her Mathematical optimization research is multidisciplinary, incorporating perspectives in Stochastic process, Convergence and Power system simulation.
Her Covariance matrix study, which is part of a larger body of work in Algorithm, is frequently linked to Rank, bridging the gap between disciplines.
Her Phasor study also includes
- Real-time computing that intertwine with fields like Intrusion detection system and Anomaly detection,
- Electrical impedance which connect with Thévenin's theorem, Smart grid, Heuristics and Unobservable,
- Observability that intertwine with fields like Leverage.
Her Shared resource study is concerned with the field of Computer network as a whole.
Her studies deal with areas such as Wireless network and Scalability as well as Computer network.
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