Sanjay K. Jha is a Professor, head of the Network Reseach Group and director of CySPri Laboratory at the School of Computer Science and Engineering at the University of New South Wales. Prof. Jha holds a Ph.D. degree from the University of Technology, Sydney, Australia. Sanjay has published over 180 articles in high quality journals and conferences. He is the principal author of the book Engineering Internet QoS and a co-editor of the book Wireless Sensor Networks: A Systems Perspective. He has been very active in attracting research grants from ARC, industry and other funding agencies. Visit my google-scholar home page.
|Affiliation||Professor at the School of Computer Science and Engineering, the University of New South Wales.|
Room-611, Level 6 , Building K-17, UNSW, NSW 2052, Australia
|sanjay AT cse.unsw.edu.au|
|Phone||+ 61 2 9385 6471|
Sanjay founded the Network Research Laboratory in July 1999. His research work primarily focuses on higher layers of communication protocols in the areas of Adhoc/Wireless Sensor networks (Project Sensar) as well as Efficient Distribution of Content in Multi-Rate Multi-channel Wireless Mesh Networks (Project Aiolos) as well as the Secure Wireless Mesh Network (Project Swimnet). He has been the recipient of a number of competitive grants from ARC, Industry and other funding bodies, with a total value of over A$3M (jointly).
[May 2014] Invited to the TPC of prestigious security conferences ACM Wisec 2014 and ACM CCS 2014.
[April 2014] Our paper entitled Secure Data Aggregation Technique for Wireless Sensor Networks in the Presence of Collusion Attacks has been accepted as a Regular Paper in an upcoming issue of the Transactions on Dependable and Secure Computing.
[November 2013] Our paper entitled Provenance-Aware Security Risk Analysis for Hosts and Network Flows has been accepted to the regular Technical track of the IFIP/IEEE Network Operations and Management Symposium (NOMS 2014).
[August 2013] Our paper entitled A Robust Iterative Filtering Technique for Wireless Sensor Networks in the Presence of Malicious Attacks was accepted at ACM SenSys 2013.
[August 2013] Our paper entitled DEMO Abstract: Securing Data Provenance in Body Area Networks using Lightweight Wireless Link Fingerprints was accepted at ACM SenSys 2013.