Kandeepan Sithamparanathan

Professor Kandeepan Sithamparanathan

Associate Dean, Electronic & Telecommunications Engineering

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Professor Kandeepan Sithamparanathan is an enthusiastic scientist and engineer who is passionate about research and development in next generation communication systems for making a better world for everyone to communicate from anywhere at any time.

Overview

Professor Sithamparanathan is currently the Associate Dean of Electronic and Telecommunications Engineering at the RMIT University. As part of his role, he assists the School of Engineering with strategic directions and development opportunities in the areas of teaching, research, and engagement. He also leads and manages a team of academics and researchers in his Discipline.

Professor Sithamparanathan is an award-winning researcher who is very devout about his research and development activities, he has attained significant recognition in his field of research both nationally and internationally. He is recognised for many of his research works specifically in the areas of cognitive radio communications bringing intelligence to next generation telecommunication systems and in UAV communications. He has published a scholarly book and over 160 scientific papers on top journals and conferences. He supervises many PhD students and constantly takes on vibrant and enthusiastic candidates to train and supervise towards their PhD. Moreover, Professor Sithamparanathan has acquired several millions in research funding grants from various sources further and through such research project he trains and mentors early and mid-career researchers.

He cherishes teaching engineering to the final year undergraduate and postgraduate students in his specialised areas such as wireless and mobile communications, satellite communications and advanced statistical signal processing methods. He consistently receives high teaching ratings from the student surveys because of his commitment and dedication in generating highly skilled next generation engineers in Australia.

Professor Sithamparanathan has an extensive track record of collaborating with many stakeholder in his field such as small to medium sized companies, large companies, government departments, Defence Australia, national and international standardization bodies and regulators, and top universities and research organisations around the world. He uses his extended professional network connect students and providing them with highly valuable opportunities for their career.

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Industry experience

Professor Kandeepan collaborated with the following industry partners during their research career:

  • Thales (France)
  • Thales Alenia Space (France)
  • Eutelsat ( France)
  • Orange Labs (France Telecom)
  • Telefonica (Spain)
  • Portugal Telecom (Portugal)
  • Intel Mobile (Germany)
  • Ericsson Australia
  • Telstra (Australia)
  • Challenge Networks (Australia)
  • Bosch (Australia)

They have collaborated with the following research organisations during their research career:

  • Joint Research Centre (JRC) for the European Commission (EC- Italy)
  • German Aerospace Center (Germany)
  • NICTA (Australia)
  • CREATE-NET (Italy)
  • Fraunhofer (Germany)
  • CWC (Finland)
  • Australian Institute of Sports (ACT)
  • Western Australian Telecommunications Research Institute (WATRI)
  • CTTC (Spain)
  • CEALETI (France)
  • CSIRO (Australia)
  • Defence Science Technology (Australia)
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Research

Their current research focus is on 5G/6G communications & networks, satellite communications, security & vulnerabilities of next generation communications technologies, and developing machine learning and statistical signal processing techniques.

Research keywords

Communications Engineering, Wireless Communication, Satellite Communication, Wireless Networks, Signal Processing for Communication and Radars, Machine Learning and AI, Internet of Things (IoT), Security in Communication Technologies, Optical Wireless Communication.

Research output summary

150

Publications

15

Projects

9

Awards

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Supervisor interest areas

  • Next generation communication systems and networks (5G/6G)
  • Signal processing and machine learning techniques for communication and radars
  • Security issues in communication systems

Supervisor projects

  • Non-orthogonal multiple access systems
  • Spectrum occupancy prediction using machine learning
  • Security issues in SDN networks
  • RF signal modelling through structures
  • Applications of random matrix theory for radar signal processing
  • Source localisation in vehicular networks

Feature publications

Cognitive radio techniques: spectrum sensing, interference mitigation, and localization

Artech House - New York

S. Kandeepan, A Giorgetti (2012)

Optimal LAP Altitude for Maximum Coverage

IEEE WIRELESS COMMUNICATIONS LETTERS, 3 (6), pp.569-572.

A. Al-Hourani, S. Kandeepan, S. Lardner

Power-trading in wireless communications: A cooperative networking business model

IEEE Transactions on Wireless Communications, Volume 11, Issue, 5, Pages 1872-1880

S. Kandeepan, S. K Jayaweera, R. Fedrizzi (2012)

Key publications by year

  • Performance Analysis of Long Short-Term Memory-Based Markovian Spectrum Prediction, N. Radhakrishnan, S. Kandeepan, X. Yu, G. Baldini, IEEE Access, Volume 9, Pages 149582-149595, Nov 2021
  • Z Li, A Giorgetti, K Sithamparanathan, Multiple Radio Transmitter Localization via UAV-based Mapping, IEEE Transactions on Vehicular Technology, 2021
  • AH B Al Homssi, K Dakic, S Maselli, H Wolf, S Kandeepan, IoT Network Design using Open-Source LoRa Coverage Emulator, IEEE Access, 2021
  • K Wang, T Song, S Kandeepan, H Li, K Alameh, Indoor optical wireless communication system with continuous and simultaneous positioning, Optics Express 29 (3), 4582-4595, 2021

  • N Radhakrishnan, S Kandeepan, An Improved Initialization Method for Fast Learning in Long Short-Term Memory based Markovian Spectrum Prediction, IEEE Transactions on Cognitive Communications and Networking, 2020
  • KMG Bassel Al Homssi, Akram Al-Hourani, Kagiso Magowe, James Delaney, Neil T, A Framework for the Design and Deployment of Large-Scale IoT Networkfor Smart Cities Applications, IEEE Internet of Things Magazine, 2020

  • Z Li, S Kandeepan, A Giorgetti, A Al-Hourani, K Magowe, , Directional antenna channel modelling in urban area using ray tracing, ITU Journal: ICT Discoveries 2 (1)
  • K Magowe, A Giorgetti, K Sithamparanathan, Closed-form approximation of weighted centroid localization performance, IEEE Sensors Letters 3 (12), 2019
  • MT Islam, S Kandeepan, RJ Evans, Statistical distribution analysis of sender-jump receiver-wait rendezvous incognitive radio, IEEE Communications Letters 23 (8), 1310-1313, 201927.

  • A. Hourani, R. Evans, S. Kandeepan, B. Moran and H. Eltom, Stochastic Geometry Methods for Modelling Automotive Radar Interference, IEEE Transactions on Intelligent Transport Systems,, January, 2017

  • Machine Learning in Network Anomaly Detection: A Survey, S. Wang, J. Balarezo, S. Kandeepan, A. Al-Hourani, K. Gomez, B. Rubinstein, IEEE Access, Page(s): 152379 - 152396, Nov 2011
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Feature projects

Hybrid Terrestrial-Satellite Access System for IoT Applications

Funding - SmartSat CRC $100,000

2021 - 2021

Researchers: Dr P. Conder, Prof S. Kandeepan, Dr A. Hourani, Dr. K Wang, A/Prof W. Rowe

Distributed Autonomous Spectrum Management (DUST)

Funding - Defence CRC in Trusted Autonomous Systems $1,000,000

2019 - 2023

Researchers: Prof. S. Kandeepan and Dr Ke Wang

User terminal cooperation for regional area networks (TC-RAN)

Funding - Orange Labs (France Telecom), Paris $140,000

2014 - 2016

Researchers: Prof. S. Kandeepan

Key projects by year

  • V-band channel modelling, with One Web as the industry partner, SS-CRC, Aus-UK partnership grant,2021/22

  • HFC Project, funded by an Australian Telecom Infrastructure Provider (subject to NDA), 2020-2021
  • Northern Melbourne Smart Cities Network, Smart Cities & Sub grant, Dept of Prime Minister, 2020

  • Wireless Systems for Vehicular Access, Security and Safety, AEGP grant with Bosch Australia, 2019/21

  • Interactive City Management in Melbourne, Smart Cities grant, Dept of Prime Min., 2018

  • Wireless Communication for Next Generation Water Meters, Yarra Valley Water and City West Water, 2017
  • Aerial Terrestrial Communication, CSIRO/Data61, 2017-2020

  • Cognitive Radars for Automobiles, ARC DP, 2015-2017

  • Aerial Base Stations for Opportunistic Access (ABSOLUTE), European Commission (EU-FP7), 2012/15
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Awards

IoT Alliance Australia, Best IoT Project award ‘Northern Melbourne Smart Cities Project’

Award date: 2020

Recipients: Kandeepan Sithamparnathan

RMIT Vice Chancellor’s Research Excellence Award (HDR)

Award date: 2019

Recipients: Kandeepan Sithamparnathan

IEEE Exemplary Reviewer Award, IEEE Communications Society

Award date: 2010

Recipients: Kandeepan Sithamparnathan

Key awards by year

  • Best Paper Award, IEEE Conference on Wireless for Space and Extreme, 2019

  • IEEE Communication Society Certificate of Appreciation for 10 years of Dedication, 2015

  • Best Paper Award, International Conference on Personal Satellite Services Springer, 2012
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Acknowledgement of Country

RMIT University acknowledges the people of the Woi wurrung and Boon wurrung language groups of the eastern Kulin Nation on whose unceded lands we conduct the business of the University. RMIT University respectfully acknowledges their Ancestors and Elders, past and present. RMIT also acknowledges the Traditional Custodians and their Ancestors of the lands and waters across Australia where we conduct our business - Artwork 'Sentient' by Hollie Johnson, Gunaikurnai and Monero Ngarigo.

aboriginal flag
torres strait flag

Acknowledgement of Country

RMIT University acknowledges the people of the Woi wurrung and Boon wurrung language groups of the eastern Kulin Nation on whose unceded lands we conduct the business of the University. RMIT University respectfully acknowledges their Ancestors and Elders, past and present. RMIT also acknowledges the Traditional Custodians and their Ancestors of the lands and waters across Australia where we conduct our business.