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 | B453 |
Location | Springfield Campus |
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.
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Deep Learning
( 461103)
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Atmospheric Aerosols
( 370103)
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Air Pollution Processes And Air Quality Measurement
( 370102)
-
Meteorology
( 370108)
-
Atmospheric Radiation
( 370106)
-
Reinforcement Learning
( 461105)
-
Atmospheric Sciences
( 370100)
-
Machine Learning
( 461100)
-
Communications Engineering
( 400600)
-
Signal Processing
( 400607)
-
Satellite Communications
( 400606)
-
Wireless Communication Systems And Technologies (incl. Microwave And Millimetrewave)
( 400608)
Cross-disciplinary Satellite Communications, Wireless Communications, Artificial Intelligence and Machine Learning
- Deep Learning Methods for Decision Support Systems with AI & ML.
- Mathematical Sciences and Operations Research.
Specific Applications to: meteorology, electrical power systems, radio communications, renewable energy, climate science, environmental sciences and engineering domains.
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
Defence Science & Technology Group (DSTG), Australian Department of Defence
Office of National Intelligence
10 Years
-
Deep Learning
( 461103)
-
Atmospheric Aerosols
( 370103)
-
Air Pollution Processes And Air Quality Measurement
( 370102)
-
Meteorology
( 370108)
-
Atmospheric Radiation
( 370106)
-
Reinforcement Learning
( 461105)
-
Atmospheric Sciences
( 370100)
-
Machine Learning
( 461100)
-
Communications Engineering
( 400600)
-
Signal Processing
( 400607)
-
Satellite Communications
( 400606)
-
Wireless Communication Systems And Technologies (incl. Microwave And Millimetrewave)
( 400608)