Profile image of Sasan Adibi

Dr Sasan Adibi



Honorary Fellow


Faculty of Sci Eng & Built Env


School of Info Technology


Melbourne Burwood Campus


Doctor of Philosophy, University of Waterloo, 2015
Master of Science, Brunel University, 2015
Bachelor of Science, , 2015

Biography summary

Sasan Adibi (BS'95, MS'99, MS'05, PhD'10, SMIEEE'11) has a PhD degree in Communication and Information Systems from University of Waterloo, Canada. He is the recipient of the best PhD thesis award from the IEEE Society.

Sasan is the first author of 75+ journal/conference/book chapter/white paper publications and is a co-editor of four books, two of which are in the areas of mHealth and the other two books are in the areas of 4th Generation Mobile Networks and QoS.

Sasan holds 5 US patents in the areas of Health Informatics and has 12+ years of strong industry experiences, having worked in a number of high-tech companies, including: Nortel Networks, Siemens Canada, BlackBerry Corp., WiMAX Forum, Huawei Technologies, and Hyundai KIA America Technical Center, Inc. (HATCI), in leadership roles.

Career highlights

  • The recipient of the best PhD thesis award from the IEEE Society, 2010
  • Elevated to Senior Member of IEEE, 2011
  • Recipient of RMIT’s Vice Chancellor Fellowship (competitively selected from 300+ national and international applicants)

Research interests

Health Informatics (mHealth, eHealth)

Teaching interests

  • Health Informatics
  • Research Methods in IT

Units taught

  • Database and Information Retrieval (SIT 772)
  • Services Management (SIT 794)
  • Research and Development in IT (SIT 340/750)
  • Research Methods for IT (SIT 705)
  • Internet Core and Enterprise Routing (SIT 272/701)
  • Advanced Network Design and Engineering (SIT 702)
  • Computer Networks (SIT 202)

Knowledge areas

Sasan is currently involved in the research, design, implementation, and application Electronic Health (eHealth) and Mobile Health (mHealth). Sasan’s research publication background is mostly in the areas of Quality of Service (QoS), Security, and eHealth/mHealth.

Professional activities

Sasan has been invited as the TPC/Associate Editor for numerous conference/journal venues, including:
- IEEE Communication Magazine
- International Journal of Computing and Digital Systems (IJCDS)
- International Journal of Medical Informatics (Elsevier)
- Journal of e-Healthcare Information Systems (IJeHIS).
- MDPI Journal in Sensors
- International Conference on Advances in Computing, Communications and Informatics

Research groups

Internet of Things (IoT), School of IT, Deakin University


Best PhD Thesis Award (2010)


While with Deakin, Sasan has been involved in a number of projects:

  • Technology assisted diabetes system using Terahertz technology - in collaboration with TeTechS Inc., Canada, Stanford University, AT&T, USA, and Navy Inc, Australia.
  • Vehicular Informatics (VmHealth) - in collaboration with Hyundai KIA America Technical Center, Inc. (HATCI), USA.

As a Mobile Health (mHealth) project leader, Sasan led a number of projects within the eHealth/mHealth domains, such as:

  • Alzheimer and Dementia
  • Biofeedback/Neurofeedback Analysis
  • Sleep Technology: technology assisted sleep disorder tracking
  • Biomedical traffic/data classification/characterization
  • Super Hospitals: An interconnected all digital hopital concept.
  • Artificial Pancreas Project (APP): With JDRF.


Filter by


Smartphone Apps for Diabetes Medication Adherence: Systematic Review

S Shariful Islam, V Mishra, M Siddiqui, J Moses, S Adibi, L Nguyen, N Wickramasinghe

(2022), Vol. 7, JMIR Diabetes, C1

journal article

Smartphone as a Disease Screening Tool: A Systematic Review

Jeban Moses, Sasan Adibi, Nilmini Wickramasinghe, Lemai Nguyen, Maia Angelova, Sheikh Islam

(2022), Vol. 22, pp. 1-16, Sensors, Basel, Switzerland, C1

journal article

Supervised Contrastive Learning for Product Classification

S Azizi, U Fang, S Adibi, J Li

(2022), Vol. 13088, pp. 341-355, ADMA 2022 : Proceedings of the 17th Advanced Data Mining and Applications International Conference 2022, Sydney, N.S.W., E1


Application of smartphone technologies in disease monitoring: A systematic review

J Moses, S Adibi, S Shariful Islam, N Wickramasinghe, L Nguyen

(2021), Vol. 9, pp. 1-19, Healthcare, Basel, Switzerland, C1

journal article

Towards a better life for diabetic patients: developing and integrating a non-invasive self-management support tool within a smart digital companion

Lemai Nguyen, Sasan Adibi, Nilmini Wickramasinghe

(2020), pp. 207-222, Delivering superior health and wellness management with IoT and analytics, Cham, Switzerland, B1

book chapter

Addressing Data Accuracy and Information Integrity in mHealth Solutions Using Machine Learning Algorithms

Zaid Sako, Sasan Adibi, Nilmini Wickramasinghe

(2020), pp. 345-359, Delivering Superior Health and Wellness Management with IoT and Analytics, Cham, Switzerland, B1

book chapter

No soldiers left behind: an IoT-based low-power military mobile health system design

J Kang, W Yang, G Dermody, M Ghasemian, S Adibi, P Haskell-Dowland

(2020), Vol. 8, pp. 201498-201515, IEEE access, Piscataway, N.J., C1

journal article

Systematic predictive analysis of personalized life expectancy using smart devices

James Kang, Sasan Adibi

(2018), Vol. 6, pp. 1-18, Technologies, Basel, Switzerland, C1

journal article

Mobile health personal-to-wide area network disaster management paradigm

S Adibi

(2018), Vol. 18, pp. 9874-9881, IEEE sensors journal, Piscataway, N.J., C1

journal article

A novel energy-efficient cross-application-layer platform with QoS-security support

S Adibi

(2017), Vol. 30, pp. 1-16, International journal of communication systems, London, Eng., C1

journal article

Bushfire disaster monitoring system using low power wide area networks (LPWAN)

J Kang, S adibi

(2017), Vol. 5, pp. 1-14, MDPI technologies, Basel, Switzerland, C1

journal article

Understanding new emerging technologies through Hermeneutics: an example from mHealth

Z Sako, S Adibi, N Wickramasinghe

(2017), pp. 1-13, Digital Transformation - From Connecting Things to Transforming Our Lives : Proceedings of the 30th Bled eConference, Bled, Slovenia, E1


A systematic approach to terahertz-based glucose monitoring

S Adibi, L Nguyen, A Hamper, F Bodendorf, N Wickramasinghe

(2017), pp. 1-14, Digital Transformation – From Connecting Things to Transforming Our Lives : Proceedings of the 30th Bled eConference, Bled, Slovenia, E1


A disaster recovery system for location identification-based low power wide area networks (LPWAN)

J Kang, I Khodasevych, S Adibi

(2017), pp. 149-154, ITNAC 2017 : Proceedings of the 27th International Telecommunication Networks and Applications Conference, Melbourne, Australia, E1


Data accuracy considerations with mHealth

Z Sako, V Karpathiou, S Adibi, N Wickramasinghe

(2016), pp. 1-15, Handbook of research on healthcare administration and management, Hershey, Pa., B1

book chapter

Using machine learning to address data accuracy and information integrity in digital health delivery

Z Sako, V Karpathiou, S Adibi, N Wickramasinghe

(2016), pp. 301-318, Bled 2016 : Digital Economy Proceedings of the 29th Bled eConference, Bled, Slovenia, E1


A review of security protocols in mHealth Wireless Body Area Networks (WBAN)

J Kang, S Adibi

(2015), Vol. 523, pp. 61-83, Future Network Systems and Security 2015 (FNSS 2015), Paris, France, B1

book chapter

Novel approach to big data collaboration with network operators network function virtualisation (NFV)

T Tofigh, S Adibi, A Mobasher, M Mortazavi

(2015), Vol. 30, pp. 65-78, International journal of parallel, emergent and distributed systems, London, Eng, C1

journal article

A multilayer non-repudiation system: a Suite-B approach

S Adibi

(2015), Vol. 8, pp. 1698-1706, Security and communication networks, London, Eng., C1

journal article

mHealth Multidisciplinary Verticals

S Adibi

(2015), Boca Raton, Fla., A7-1

edited book

Mobile health: a technology road map

S Adibi

(2015), Berlin, Germany, A7-1

edited book

A mobile health network disaster management system

S Adibi

(2015), pp. 424-428, ICUFN 2015 : International Conference on Ubiquitous and Future Networks, Sapporo, Japan, E1


Predictive data mining for converged internet of things: a mobile health perspective

J Kang, S Adibi, H Larkin, H Luan

(2015), pp. 5-10, ITNAC 2015: Proceedings of the 25th International Telecommunication Networks and Applications Conference, Sydney, New South Wales, E1


LTE networking : extending the reach for sensors in mHealth applications

S Adibi, A Mobasher, T Tofigh

(2014), Vol. 25, pp. 692-706, Transactions on emerging telecommunications technologies, Hoboken, N.J., C1-1

journal article

Biomedical sensing analyzer (BSA) for mobile-health (mHealth)-LTE

S Adibi

(2014), Vol. 18, pp. 345-351, IEEE journal of biomedical and health informatics, Piscataway, NJ, C1-1

journal article

A low overhead scaled equalized harmonic-based voice authentication system

S Adibi

(2014), Vol. 31, pp. 137-152, Telematics and informatics, Amsterdam, The Netherlands, C1-1

journal article

Comparative mobile platforms security solutions

S Adibi

(2014), pp. 1-6, Proceedings of the 27th Canadian Conference on Electrical and Computer Engineering; IEEE 2014, Toronto, Canada, E1


Privacy-enabled mobile-health (mhealth)-based diabetic solution

S Adibi, R Dara, N Wickramasinghe, C Chan, S Varadarajan

(2013), pp. 197-211, SmartData: privacy meets evolutionary robotics, Berlin, Germany, B1-1

book chapter

Mobile health (mHealth) biomedical imaging paradigm

S Adibi

(2013), pp. 6453-6457, EMBC 2013: Proceedings of the 35th IEEE Engineering in Medicine and Biology Society Annual International Conference, Osaka, Japan, E1-1


Link technologies and BlackBerry mobile health (mHealth) solutions: a review

S Adibi

(2012), Vol. 16, pp. 586-597, IEEE transactions on information technology in biomedicine, Piscataway, N.J., C1-1

journal article

Funded Projects at Deakin

No Funded Projects at Deakin found


Associate Supervisor

Gurdeep Singh

Thesis entitled: Wearable IoT Framework for Patient Emergencies in Smart Healthcare

Master of Science (Information Technology), School of Information Technology


Zaid Sako

Thesis entitled: Addressing Data Accuracy and Information Integrity in mHealth using ML

Master of Applied Science (Health & Social Development), School of Health and Social Development


Mohammad Rezazadeh Niavarani

Thesis entitled: Developing a Neural Network Model to Monitor and Predict Waiting Times in the Emergency Department

Doctor of Philosophy (Nursing), School of Nursing & Midwifery