Dharmendra Sharma AM PhD

PhD Computer Science (AI), GAICD, MCompSci, PGradDipMath, BSc (Maths/Chemistry)

Accepting PhD Students

PhD projects

Data science, distributed artificial intelligence, AI - constraint optimisation, AI planning, application of data mining/AI to real world problems incl health, sports, education, business, science.

20012022

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Personal profile

Biography

Professor Dharmendra Sharma is currently a Professor of Computer Science at the University of Canberra (UC). He is Chair of Faculty Board, Faculty of Science and Technology and had been the Chair of University Academic Board (2014-2019) and the Dean of the Faculty of Information Sciences and Engineering from 2007-2012 and as Head of School of the School of Information Sciences and Engineering from 2004-2007 at UC. He has assumed various senior leadership roles in universities for over twenty years and had been made a University Distinguished Professor by UC in 2012. Prof Sharma was bestowed Order of Australia (in AM division) in 2019 in recognition of his contribution to Higher Education and Computer Science.

Prof Sharma's research background is in the Artificial Intelligence areas of Planning, Data Analytics and Knowledge Discovery, Predictive Modeling, Constraint Processing, Fuzzy Reasoning, Brain-Computer Interaction, Hybrid Systems and their applications to health, education, security, digital forensics and sports. He has published over 320 research papers and has supervised to completion over 40 higher degrees research students. He has received several competitive research awards and grants, and recognition for his academic and research leadership initiatives. He has developed and led a strong industry and international university partnerships for courses, research and innovation.

Prof Sharma is a Fellow of the Australian Computer Society, a Fellow of the South Pacific Computer Society, and a Senior Member of IEEE. He is a graduate of the Australian Institute  of Company Directors (GAICD) and has been elected as a Companion of the Institution of Engineers Australia - CompIEAust. Prof Sharma has regularly served on several industry, academic, and research bodies including company boards, government advisory and policy committees. He had completed his PhD from the Australian National University and postgraduate qualifications in Computer Science from the University of New South Wales and postgraduate and undergraduate qualifications in Mathematics and Science from the University of the South Pacific. He has been an academic for over 40 years. He was the founding President of the South Pacific Computer Society and a Branch Executive Member of the ACS Canberra Chapter.

Key Research interests

  • Distributed artificial intelligence & multi-agents modeling
  • Machine learning (deep learning), pattern recognition
  • Constraint satisfaction models and planning
  • Applications of AI to human centered modelling and problem solving

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being

Education/Academic qualification

Australian National University

19881992

External positions

Council Member, Fiji National University

1 May 201930 Apr 2021

Adjunct Professor, University of the South Pacific

2012 → …

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  • Do religious values influence the decision of Saudi Arabian public sector employees to adopt Government Resource Planning systems?

    Talukder, M., Alsheddi, A., Sharma, D. & Islam, R., 22 Aug 2022, In: IEEE Access. p. 90271 - 90286 16 p.

    Research output: Contribution to journalArticlepeer-review

    Open Access
  • Forecast Extreme CPU Usages Under Peak Load Using Envelop EM Semi-supervised Learning

    Khosla, N. & Sharma, D., 2022, Advances in Deep Learning, Artificial Intelligence and Robotics - Proceedings of the 2nd International Conference on Deep Learning, Artificial Intelligence and Robotics, ICDLAIR 2020. Troiano, L., Vaccaro, A., Tagliaferri, R., Kesswani, N., Díaz Rodriguez, I., Brigui, I. & Parente, D. (eds.). Switzerland: Springer, p. 25-34 10 p. (Lecture Notes in Networks and Systems; vol. 249).

    Research output: A Conference proceeding or a Chapter in BookConference contributionpeer-review

  • Feature map upscaling to improve scale invariance in convolutional neural networks

    Kumar, D. & Sharma., D., Feb 2021, VISIGRAPP 2021 - Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. Farinella, G. M., Radeva, P., Braz, J. & Bouatouch, K. (eds.). Portugal: Scitepress, Vol. 5. p. 113-122 10 p. (VISIGRAPP 2021 - Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications; vol. 5).

    Research output: A Conference proceeding or a Chapter in BookConference contributionpeer-review

    Open Access
    File
    19 Downloads (Pure)
  • An analytics-based envelope neural net approach to forecasting memory leakage in an enterprise applications environment

    Khosla, N. & Sharma, D., 3 Mar 2020, International Conference on Innovation in Modern Science and Technology (ICIMSAT 2019): Intelligent Techniques and Applications in Science and Technology: Learning and Analytics in Intelligent Systems. Dawn, S., Balas, V., Esposito, A. & Gope, S. (eds.). Switzerland: Springer, Vol. 12. p. 66-74 9 p. (Intelligent Techniques and Applications in Science and Technology; vol. 12).

    Research output: A Conference proceeding or a Chapter in BookConference contributionpeer-review

    Open Access
  • Artificial Empathy - An Artificial Intelligence Challenge

    Sharma, D. & Bikshandi, B., 3 Dec 2020, (E-pub ahead of print) Artificial Intelligence Applications in Healthcare Delivery. Reddy, S. (ed.). 1 ed. Milton Park: Routledge, Vol. 55. p. 321-326 6 p.

    Research output: A Conference proceeding or a Chapter in BookChapterpeer-review