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Dr Ekta Sharma

Dr Ekta Sharma
Name Ekta Sharma
Pronoun She/Her/Hers
Position Vice-Chancellor's Postdoctoral Research Fellow For Women In STEMM
Section School of Mathematics, Physics and Computing
Office B449
Location Springfield Campus
Phone +61 7 3470 4619
Extension 4619
Email
Qualifications BSc Delhi , MSc Delhi , MPhil Delhi , PhD USQ
Languages German (accredited translator)
Hindi (accredited translator)
Indo-Aryan (accredited translator)
Japanese (non accredited translator)

Dr. Ekta Sharma is a Researcher with the Australian Government’s National Intelligence Community. Her work develops next-generation data security technologies to help solve communication problems in the context of space satellite challenges. This project was one of only five coveted projects awarded Nationally for 2022. She is also working as the UniSQ's Vice Chancellors' Postdoctoral Fellow for Women in the STEMM discipline. This work supports UniSQ’s commitment to improving career pathways for women as part of the Science in Australia Gender Equity Athena Swan Action Plan. Her Ph.D. research with an excellence award designed novel methods in early warning systems to predict critical atmospheric pollutants. The work got featured in multiple newspapers and media outlets. Dr. Sharma has over a decade of strong technical experience across the broad spectrum of advanced artificial intelligence, statistics, and data science in Australia and Switzerland. She has also served as an academic consultant in India. The cross-disciplinary research projects are from Australian Defence, Algae Pharm (UQ), the bureau of meteorology, marketing, Swiss telecom, and others. Her other background in Operations Research and double Master's (Mathematical Sciences) assist her to accomplish key processes in a feasible, sustainable, and optimum manner. This has awarded her competitive grants including the Australian Mathematical Sciences Institute award and others reserved for top Australian females working on big data. She has co-authored 6 books and more than 20 peer-reviewed scientific publications. She is currently supervising research students. If you wish to discuss a suitable project/paper collaboration/ opportunity, please drop a message with your contact details and she will connect. She is based in Springfield at the School of Mathematics, Sciences, and Computing.

Fields of Research (FoR)

  • Statistics ( 490500 )
  • Pollution And Contamination ( 410500 )
  • Deep Learning ( 461103 )
  • Atmospheric Aerosols ( 370103 )
  • Artificial Intelligence ( 460200 )
  • Neural Networks ( 461104 )
  • Applied Statistics ( 490501 )
  • Air Pollution Processes And Air Quality Measurement ( 370102 )
  • Operations Research ( 490108 )
  • Pollution And Contamination not elsewhere classified ( 410599 )
  • Modelling And Simulation ( 460207 )
  • Meteorology ( 370108 )
  • Applied Mathematics ( 490100 )
  • Atmospheric Radiation ( 370106 )
  • Planning And Decision Making ( 460209 )
  • Reinforcement Learning ( 461105 )
  • Atmospheric Sciences ( 370100 )
  • Probability Theory ( 490506 )
  • Time Series And Spatial Modelling ( 490511 )
  • Artificial Intelligence not elsewhere classified ( 460299 )
  • Semi- And Unsupervised Learning ( 461106 )
  • Machine Learning ( 461100 )
  • Machine Learning not elsewhere classified ( 461199 )

Research interests
Cross-disciplinary Satellite Communications, Wireless Communications, Artificial Intelligence and Machine Learning
- Mathematical Sciences and Operations Research
- Deep Learning Methods for Decision Support Systems with AI & ML.
Specific Applications to: meteorology, electrical power systems, radio communications, renewable energy, climate science, environmental sciences and engineering domains

Fields of Research 2022 (FoR):
370108 - Meteorology
400602 - Data communications
400606 - Satellite communications
400608 - Wireless communication systems and technologies (incl. microwave and millimetrewave)
460207 - Modelling and simulation
460299 - Artificial intelligence not elsewhere classified
460308 - Pattern recognition
461103 - Deep learning
461104 - Neural networks
461105 - Reinforcement learning
461106 - Semi- and unsupervised learning
461199 - Machine learning not elsewhere classified

Professional memberships
Australian Mathematical Sciences Institute (AMSI)
ARC Centre of Excellence for Mathematical and Statistical Frontiers (ACEMS)
The Australian and New Zealand Association of Mathematical Physics (ANZAMP)
Australian Data Science Network (ADSN)
Australian Mathematical Society (MAustMS), Australia

Industry affiliations
Defence Science & Technology Group (DSTG), Australian Department of Defence

Office of National Intelligence

Teaching experience(Tertiary)
12 Years



Publications in ePrints

Jamei, Mehdi and Ali, MumtazORCID: https://orcid.org/0000-0002-6975-5159 and Malik, Anurag and Karbasi, Masoud and Sharma, EktaORCID: https://orcid.org/0000-0003-3692-382X and Yaseen, Zaher Mundher (2022) Air quality monitoring based on chemical and meteorological drivers: Application of a novel data filtering-based hybridized deep learning model. Journal of Cleaner Production, 374:134011. pp. 1-17. ISSN 0959-6526

Sharma, Ekta ORCID: https://orcid.org/0000-0003-3692-382X (2022) Artificial Intelligence and Clean Air: Development of Novel Algorithms with Machine Learning and Deep Learning. [Thesis (PhD/Research)]

Pickstone, Leigh and Sharma, EktaORCID: https://orcid.org/0000-0003-3692-382X and King, RachelORCID: https://orcid.org/0000-0002-3302-0919 and Galligan, LindaORCID: https://orcid.org/0000-0001-8156-8690 and Langlands, TrevorORCID: https://orcid.org/0000-0001-7679-6891 (2022) Connecting community online and through partnership: A reflective piece. International Journal for Students as Partners, 6 (2). pp. 114-120.

Ghimire, Sujan and Deo, Ravinesh C.ORCID: https://orcid.org/0000-0002-2290-6749 and Casillas-Perez, David and Salcedo-Sanz, Sancho and Sharma, EktaORCID: https://orcid.org/0000-0003-3692-382X and Ali, MumtazORCID: https://orcid.org/0000-0002-6975-5159 (2022) Deep learning CNN-LSTM-MLP hybrid fusion model for feature optimizations and daily solar radiation prediction. Measurement, 202:111759. pp. 1-22. ISSN 0263-2241

Ahmed, A. A. Masrur and Sharma, EktaORCID: https://orcid.org/0000-0003-3692-382X and Jui, S. Janifer Jabin and Deo, Ravinesh C.ORCID: https://orcid.org/0000-0002-2290-6749 and Nguyen-Huy, ThongORCID: https://orcid.org/0000-0002-2201-6666 and Ali, MumtazORCID: https://orcid.org/0000-0002-6975-5159 (2022) Kernel Ridge Regression Hybrid Method for Wheat Yield Prediction with Satellite-Derived Predictors. Remote Sensing, 45 (5):1136. pp. 1-24.

View full listing in ePrints

Research supervisor in the area of:

  • Statistics ( 490500 )
  • Pollution And Contamination ( 410500 )
  • Deep Learning ( 461103 )
  • Atmospheric Aerosols ( 370103 )
  • Artificial Intelligence ( 460200 )
  • Neural Networks ( 461104 )
  • Applied Statistics ( 490501 )
  • Air Pollution Processes And Air Quality Measurement ( 370102 )
  • Operations Research ( 490108 )
  • Pollution And Contamination not elsewhere classified ( 410599 )
  • Modelling And Simulation ( 460207 )
  • Meteorology ( 370108 )
  • Applied Mathematics ( 490100 )
  • Atmospheric Radiation ( 370106 )
  • Planning And Decision Making ( 460209 )
  • Reinforcement Learning ( 461105 )
  • Atmospheric Sciences ( 370100 )
  • Probability Theory ( 490506 )
  • Time Series And Spatial Modelling ( 490511 )
  • Artificial Intelligence not elsewhere classified ( 460299 )
  • Semi- And Unsupervised Learning ( 461106 )
  • Machine Learning ( 461100 )
  • Machine Learning not elsewhere classified ( 461199 )