Prof Joarder Kamruzzaman

Name Prof Joarder Kamruzzaman  
Position Title Professor
Campus Gippsland
Room 4N232
Phone +613 51226665

Research interests

  • Internet of Things
  • Machine learning
  • Data analytics
  • Cybersecurity

Short biography

Joarder Kamruzzaman received the BSc and MSc degrees in Electrical and Electronic Engineering from Bangladesh University of Engineering and Technology, Dhaka, and the PhD degree in Information Systems Engineering from Muroran Institute of Technology, Hokkaido, Japan in 1993. He has over 30 years of tertiary level teaching experience in Australia and Bangladesh. Currently, he is the Director of the Centre for Smart Analytics and a Professor of Information Technology at the Institute of Innovation, Science and Sustainability at Federation University Australia. Previously, he served Monash University Australia (2004-13) as an Associate Professor and Bangladesh University of Engineering and Technology as a full professor (1999-2003). His research interests include sensor networks, Internet of Things, machine learning and cybersecurity. He is the founding leader of the sensor networks research group at Monash University in 2007 which now continues at Federation University. During 2008-2014, he served as the Director of the Centre for Multimedia Computing, Communications and Artificial Intelligence Research hosted first by Monash University and later by Federation University, and as the co-Director of Research, Monash University, Gippsland campus (2009-10).

Kamruzzaman has served as the Peer Reviewer of ERA 2015, and 2018, and has been serving as an Assessor of ARC DP, LP, LIEF & DECRA since 2012. He has published over 300 peer-reviewed publications which include 98 journal papers, 188 fully peer-viewed conferences, 15 book chapters and three edited reference books. Most of his publications are in the top-ranked journals (above 50% in ranked JCR-Q1) and conferences in his field, including in the highest ranked journal in the whole computer science and electrical engineering domain. Kamruzzaman has been listed on the world’s top 2% Scientists, 2021 by Stanford University. He is the recipient of the Best Paper award in four international conferences: ICICS’15, Singapore; APCC’14, Thailand; IEEE WCNC’10, Sydney, Australia and in the IEEE-ICNNSP’03, Nanjing, China. He was also awarded the Best Researcher award twice in the Faculty of Science & Technology (2021 & 2016) and Graduate Research School Award for Excellence in Graduate Research Supervision (2019) at Federation University, and was nominated for ‘Teaching Excellence’ award and ‘Postgraduate Supervisor of the Year’ award in Monash University in 2008. His publications are cited over 5480 times and have h-index 33, g-index 66 and i-10 index 99. He has received over A$3.0m in competitive research funding, including highly prestigious ARC grant and large CRC (Collaborative Research Centre) grant, and successfully supervised 29 PhDs and 9 Masters to completion. He was the founding Program co-Chair of the First International Symposium on Dependability in Sensor, Cloud, and Big Data Systems and Applications (DependSys), China in 2015. He has served 32 international conferences in leadership capacities including Program co-Chair, Publicity Chair, Track Chair and Session Chairs, and since 2012 as an Editor of the Elsevier Journal of Network and Computer Applications (Q1 ranked), and had served as the lead guest editor of Elsevier Journal Future Generation Computer Systems (Q1 ranked).


  • Graduate Certificate in Higher Education - Monash University 2005
  • PhD (Information Systems) - Muroran Institute of Technology, Japan 1993
  • Master of Science (Electrical Engineering) - Bangladesh University of Eng. & Technology 1988
  • Bachelor of Science (Electrical Engineering) - Bangladesh University of Eng. & Technology 1986

Teaching areas

  • Data Communication and Networks
  • Mobile Networks and wireless Communications
  • Network Protocol and Services
  • Information and Network Security
  • Infrastructure for e-Commerce
  • Professional Development
  • Artificial Neural Systems

Extended research profile