What is he best known for?
The fields of study he is best known for:
- Computer network
- Operating system
- The Internet
His primary areas of study are Computer network, Network packet, Distributed computing, Real-time computing and Wireless network.
The various areas that Ramachandran Ramjee examines in his Computer network study include Wireless and The Internet.
His Network packet study combines topics in areas such as Node, Subnet, Wireless ad hoc network and Base station.
His research in Distributed computing intersects with topics in Redundancy, Bidirectional Forwarding Detection, Throughput and Maximum throughput scheduling.
The Real-time computing study combines topics in areas such as Embedded system and Accelerometer.
His study in the field of Wireless WAN and Wi-Fi array also crosses realms of Energy consumption and Power management.
His most cited work include:
- Nericell: rich monitoring of road and traffic conditions using mobile smartphones (1047 citations)
- HAWAII: a domain-based approach for supporting mobility in wide-area wireless networks (646 citations)
- Adaptive playout mechanisms for packetized audio applications in wide-area networks (491 citations)
What are the main themes of his work throughout his whole career to date?
Computer network, Wireless, Distributed computing, Wireless network and Network packet are his primary areas of study.
The various areas that Ramachandran Ramjee examines in his Computer network study include Real-time computing and Throughput.
His work deals with themes such as TCP tuning, Scheduling, TCP global synchronization and TCP acceleration, which intersect with Real-time computing.
His biological study spans a wide range of topics, including Base station identity code, Communication channel and Routing protocol.
His Distributed computing research incorporates themes from Mobile ad hoc network and SIMPLE.
His Network packet research integrates issues from Wireless ad hoc network, Transmission, Subnet, Header and Node.
He most often published in these fields:
- Computer network (66.25%)
- Wireless (18.75%)
- Distributed computing (18.13%)
What were the highlights of his more recent work (between 2015-2021)?
- Artificial intelligence (3.75%)
- Deep learning (3.75%)
- Encryption (3.12%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Artificial intelligence, Deep learning, Encryption, Computer network and Scalability.
His Artificial intelligence research incorporates elements of Exploit, Iterated function and Distributed computing.
His Deep learning research includes themes of Leverage, Cluster analysis, Unsupervised learning, Host and Speedup.
The study incorporates disciplines such as Field, Cloud computing and Overhead in addition to Encryption.
His study in the fields of Server under the domain of Computer network overlaps with other disciplines such as Time quantum.
His Scalability research includes elements of TRIPS architecture, Process and Camera resectioning.
Between 2015 and 2021, his most popular works were:
- The SoftRouter Architecture (98 citations)
- Gandiva: introspective cluster scheduling for deep learning (95 citations)
- Big data analytics over encrypted datasets with seabed (48 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Operating system
- The Internet
Ramachandran Ramjee mainly focuses on Cloud computing, Distributed computing, Overhead, Field and Computer network.
His work carried out in the field of Cloud computing brings together such families of science as Homomorphic encryption, Encryption and Terabyte.
His studies in Encryption integrate themes in fields like Analytics, Data mining, Big data and Cryptography.
His Distributed computing study also includes fields such as
- Deep learning that intertwine with fields like Scheduling,
- Artificial intelligence that connect with fields like Temporal isolation among virtual machines and Latency.
His Overhead research is multidisciplinary, incorporating elements of Inference and Code.
Computer network connects with themes related to Applications architecture in his study.
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