What is he best known for?
The fields of study he is best known for:
- The Internet
- Computer network
- Artificial intelligence
Computer network, Distributed computing, Computer security, The Internet and Routing protocol are his primary areas of study.
His Computer network study frequently involves adjacent topics like Domain Name System.
Many of his research projects under Distributed computing are closely connected to Information processing with Information processing, tying the diverse disciplines of science together.
His Computer security study integrates concerns from other disciplines, such as Trust network and Sybil attack.
His work deals with themes such as Quality of service and Bandwidth, which intersect with The Internet.
The Routing protocol study combines topics in areas such as Forwarding plane and Router.
His most cited work include:
- Characterizing the Internet hierarchy from multiple vantage points (540 citations)
- An investigation of geographic mapping techniques for internet hosts (469 citations)
- WiLdnet: design and implementation of high performancewifi based long distance networks (262 citations)
What are the main themes of his work throughout his whole career to date?
Lakshminarayanan Subramanian mainly investigates Computer network, Computer security, Artificial intelligence, World Wide Web and Software deployment.
His work on Computer network is being expanded to include thematically relevant topics such as Distributed computing.
The study incorporates disciplines such as Leverage, Root cause and Mesh networking in addition to Distributed computing.
His Computer security research incorporates themes from Payment and Internet privacy.
In his work, Graph is strongly intertwined with Natural language processing, which is a subfield of Artificial intelligence.
His World Wide Web research focuses on subjects like Multimedia, which are linked to Mobile phone.
He most often published in these fields:
- Computer network (24.84%)
- Computer security (15.53%)
- Artificial intelligence (13.04%)
What were the highlights of his more recent work (between 2016-2021)?
- Artificial intelligence (13.04%)
- Software deployment (11.18%)
- Machine learning (4.97%)
In recent papers he was focusing on the following fields of study:
Lakshminarayanan Subramanian spends much of his time researching Artificial intelligence, Software deployment, Machine learning, Natural language processing and Privacy policy.
His work on Deep learning and Cluster analysis as part of general Artificial intelligence research is often related to Market segmentation and Domain, thus linking different fields of science.
His Machine learning research incorporates elements of Object and Bag-of-words model.
His studies in Natural language processing integrate themes in fields like Graph and Causal graph.
His Network congestion research is included under the broader classification of Computer network.
The concepts of his Computer network study are interwoven with issues in Emulation and Mobile device.
Between 2016 and 2021, his most popular works were:
- The Importance of Long-term Care Populations in Models of COVID-19. (19 citations)
- Identifying unreliable and adversarial workers in crowdsourced labeling tasks (14 citations)
- A model-based embedding technique for segmenting customers (10 citations)
In his most recent research, the most cited papers focused on:
- The Internet
- Computer network
- Artificial intelligence
His main research concerns Artificial intelligence, Natural language processing, Machine learning, Task and Virology.
The study incorporates disciplines such as Big data and Pattern recognition in addition to Artificial intelligence.
His study in Natural language processing is interdisciplinary in nature, drawing from both Graph and Causal graph.
His Machine learning research is multidisciplinary, incorporating elements of Object and Bag-of-words model.
His Task study combines topics from a wide range of disciplines, such as Question answering, Parsing, F1 score and Privacy policy.
His work on 2019-20 coronavirus outbreak as part of general Virology study is frequently linked to Long-term care, Severe acute respiratory syndrome coronavirus 2 and Betacoronavirus, bridging the gap between disciplines.
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