Dr Shonali Krishnaswamy

Associate Professor (from January 2010),, Faculty of Information Technology

Deputy Director, Centre for Distributed Systems and Software Engineering (DSSE)

Monash University
900 Dandenong Road
Caulfield East
VIC 3165
Australia

Location and Contacts:
Room: H.7.25 -Caulfield Campus

Tel: +613 99031967
Fax: +613 99031077

Email: shonali.krishnaswamyAT
infotech.monash.edu.au

Research

Research Affiliation:

I belong to the Centre for Distributed Systems and Software Engineering, which is one of the five research centres in the Faculty of Information Technology, Monash University.

Research Areas:

  • Mobile and Ubiquitous Data Stream Mining
  • Web Services and Service Oriented Computing
  • Mobile Software Agents

In the area of Mobile and Ubiquitous Stream Data Mining, my key contributions include the development of optimisation strategies for distributed data mining systems, lightweight data stream mining algorithms, and adaptive situation-, context- and resource- aware techniques for analysis and visualisation of data in real-time in both mobile devices and wireless sensor devices such as Berkely MOTES. .The range of applications that benefit from such analysis include: continuous monitoring of patients using bio-sensors and mobile phones, Intelligent Transportation Systems (ITS) applications such as real-time detection of crashes using vehicle/infrastucture sensor data, environmental habitat monitoring using wireless sensor networks, supporting the mobile workforce, real-time business intelligence, intrusion detection, and spam filtering.

In the area of Service Oriented Computing, my focus is on Quality of Service Metrics, Reputation Management in Web Services, and Optimised Semantic Reasoning for Mobile/Pervasive Services.

In the area of Mobile Software Agents, my focus is on developing context-aware adaptive mobile software agents, conceptual modelling for mobile agent applications and leveraging mobile agents as a key technology for a range of distributed applications such as e-learning, distributed data mining, and network management.