2016 - ACM Distinguished Member
2011 - ACM Senior Member
Suman Nath mainly focuses on Wireless sensor network, The Internet, Distributed computing, Computer network and Real-time computing. His Wireless sensor network course of study focuses on Key distribution in wireless sensor networks and Multimedia, Focus and SIMPLE. His The Internet research includes themes of Graphical user interface, Decision support system and Directory.
Suman Nath interconnects Network packet, Correctness, Multipath routing, Network topology and Robustness in the investigation of issues within Distributed computing. In the subject of general Computer network, his work in Host is often linked to TRACE, thereby combining diverse domains of study. His Real-time computing research includes elements of Middleware, Scalability, Efficient energy use and Server.
The scientist’s investigation covers issues in Distributed computing, World Wide Web, Scalability, Data mining and Computer network. His research in Distributed computing intersects with topics in Network topology and Wireless sensor network. Wireless sensor network and The Internet are frequently intertwined in his study.
The Web page and Mobile apps research Suman Nath does as part of his general World Wide Web study is frequently linked to other disciplines of science, such as Mobile deep linking, therefore creating a link between diverse domains of science. In his research on the topic of Scalability, Service and Cloud computing is strongly related with Key. His research in Data mining tackles topics such as Search engine indexing which are related to areas like Microblogging and Social media.
His primary scientific interests are in World Wide Web, Scalability, Cloud computing, Data mining and Computer network. Suman Nath combines subjects such as Android and Use case with his study of World Wide Web. His Scalability study also includes fields such as
His Cloud computing study integrates concerns from other disciplines, such as Computer security and Web modeling. His Data mining research is multidisciplinary, relying on both Computational science, Memory management, Social media, Microblogging and Search engine indexing. His work in the fields of Computer network, such as PATH, intersects with other areas such as Stateful firewall.
World Wide Web, Computer security, Database, Operating system and Scalability are his primary areas of study. The various areas that Suman Nath examines in his World Wide Web study include Android and Use case. His studies deal with areas such as Mobile security, Bluetooth and Computer network as well as Computer security.
His work deals with themes such as Web application, Search engine and Web modeling, which intersect with Database. His Scalability research integrates issues from Social media, Microblogging, Event, Key and Search engine indexing. His work in Search engine indexing addresses subjects such as Data mining, which are connected to disciplines such as Function, Mobile computing, Machine learning and Artificial intelligence.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Energy-aware server provisioning and load dispatching for connection-intensive internet services
Gong Chen;Wenbo He;Jie Liu;Suman Nath.
networked systems design and implementation (2008)
Synopsis diffusion for robust aggregation in sensor networks
Suman Nath;Phillip B. Gibbons;Srinivasan Seshan;Zachary Anderson.
ACM Transactions on Sensor Networks (2008)
IrisNet: an architecture for a worldwide sensor Web
P.B. Gibbons;B. Karp;Y. Ke;S. Nath.
IEEE Pervasive Computing (2003)
Differentially private aggregation of distributed time-series with transformation and encryption
Vibhor Rastogi;Suman Nath.
international conference on management of data (2010)
SenseWeb: An Infrastructure for Shared Sensing
W.I. Grosky;A. Kansal;S. Nath;Jie Liu.
IEEE MultiMedia (2007)
PUMA: programmable UI-automation for large-scale dynamic analysis of mobile apps
Shuai Hao;Bin Liu;Suman Nath;William G.J. Halfond.
international conference on mobile systems, applications, and services (2014)
Tributaries and deltas: efficient and robust aggregation in sensor network streams
Amit Manjhi;Suman Nath;Phillip B. Gibbons.
international conference on management of data (2005)
Associating geographic-related information with objects
Suman K. Nath.
(2006)
FlashDB: dynamic self-tuning database for NAND flash
Suman Nath;Aman Kansal.
information processing in sensor networks (2007)
ACE: exploiting correlation for energy-efficient and continuous context sensing
S. Nath.
international conference on mobile systems, applications, and services (2012)
Harbin Institute of Technology
Carnegie Mellon University
University of Maryland, College Park
Carnegie Mellon University
Microsoft (United States)
University of Maryland, College Park
University College London
University of Illinois at Urbana-Champaign
University of Minnesota
Microsoft (United States)
Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: