Dr Malka Halgamuge
- Biological Effects of Radio Frequency and Extremely Low-Frequency Electromagnetic Fields (Public Health)
- Data Science / Big Data / Internet of Things (IoT) / Machine Learning
- Prediction of Natural Disasters (Flood and Bushfire)
Dr Malka N. Halgamuge is a Research Fellow / Scientist in the Department of Electrical and Electronic Engineering of University of Melbourne and Adjunct Professor at the Vellore Institute of Technology (VIT), India. She obtained her PhD from the same department. She also a member of the Electromagnetic Radiation Safety Committee, The University of Melbourne, since Sep 2013.
She has published more than 80 articles attracting over 850 Citations. Her Research Gate: RG Score = 32.41. One of her papers has been selected as a highly cited paper by ISI's Essential Science Indicators (May 2014). She currently co-supervises a group of 2 PhD students and she has co-supervised 3 PhD student to completion (2013 & 2015) at the University of Melbourne as the main supervisor.
Awarded the CAS President's International Fellowship Initiative (PIFI) from Chinese Academy of Sciences (CAS), Bejing, China (2017), Incoming Leaders Fellowship from Australia India Institute @ Delhi (2016), Next Step Initiative Fellowship (2015), Australia-China Young Scientist Fellowship (2014), Dyason Fellowship to undertake research at Department of Epidemiology, University of California (UCLA), Los Angeles, USA (2013). Early Career Researcher (ECR) Award (2013) from Alexander von Humboldt Foundation. Two of the papers she has co-authored with her PhD students received the Best Paper Award (2012) and Best Student Paper Award (2011). Awarded the Vice-Chancellor's Engagement Award (2010) and Vice-Chancellor's Knowledge Transfer Award (2008) for her research at the University of Melbourne. She also was awarded the Solander Fellowship (2007 and 2008) for research collaboration with the Departments of Neurosurgery and Radiation Physics, Lund University. She was among the short listed applicants for both 2009 and 2010 LOreal Australia for Women in Science Fellowship, out of over 200 female scientists applied in Australia.
She was the Keynote Speaker Kerala, India, Feb'18, Plenary Speaker for ICBET'18, Bali, Associate Editor for 2 International Journals, Editorial Board Member for 6 International Journals, an IEEE Senior Member and was the Program Co-Chair, Track Co-Chair, Publication Chair, Advisory Chair, Publicity Co-Chair, Track Chair, Track Co-chair, Session Chair and a Member of the Technical Program Committee (TPC) for 116 international conferences, Guest Editor for 3 Special Issues. She has presented 43 invited/guest lectures including Oxford University, Ohio State University and 7 IEEE talks and has conducted 15 journalists/media interviews and articles (Science Alert, Melbourne Voice, Moreland Leader and GradNews etc.) as well as two video interviews (ABC News, Australia-TV interview, 2014).
Malka's research has few themes: modelling and exploring of
- Big Data / Data Science / IoT / Sensor Network
- Public Health - Bioelectromagnetics
- Prediction of Natural Disasters (Flood and Bushfires)
- Ekanayake BNB, Halgamuge M, Syed A. Review: Security and Privacy Issues of Fog Computing for the Internet of Things (IoT). Cognitive Computing for Big Data Systems Over IoT. Springer International Publishing. 2018. DOI: 10.1007/978-3-319-70688-7_7
- Delgoda D, Malano H, Saleem SK, Halgamuge M. A novel generic optimization method for irrigation scheduling under multiple objectives and multiple hierarchical layers in a canal network. ADVANCES IN WATER RESOURCES. Pergamon. 2017, Vol. 105. DOI: 10.1016/j.advwatres.2017.04.025
- Halgamuge M, Nirmalathas A. Analysis of large flood events: Based on flood data during 1985-2016 in Australia and India. INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION. Elsevier BV. 2017, Vol. 24. DOI: 10.1016/j.ijdrr.2017.05.011
- Kalid S, Syed A, Mohammad A, Halgamuge M. Big-data NoSQL databases: A comparison and analysis of 'Big-Table', 'DynamoDB', and 'Cassandra'. 2017 IEEE 2nd International Conference on Big Data Analysis, ICBDA 2017. 2017. DOI: 10.1109/ICBDA.2017.8078782
- Jeewantha RA, Halgamuge M, Mohammad A, Ekici G. Classification performance analysis in medical science: Using kidney disease data. ACM International Conference Proceeding Series. 2017, Vol. Part F132530. DOI: 10.1145/3152723.3152724
- Khan HA, Syed A, Mohammad A, Halgamuge M. Computer virus and protection methods using lab analysis. 2017 IEEE 2nd International Conference on Big Data Analysis, ICBDA 2017. 2017. DOI: 10.1109/ICBDA.2017.8078765
- Halgamuge M. Machine Learning for Bioelectromagnetics: Prediction Model using Data of Weak Radiofrequency Radiation Effect on Plants. INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS. 2017, Vol. 8, Issue 11. DOI: 10.14569/IJACSA.2017.081130
- Kaur K, Syed A, Mohammad A, Halgamuge M. Review: An evaluation of major threats in cloud computing associated with big data. 2017 IEEE 2nd International Conference on Big Data Analysis, ICBDA 2017. 2017. DOI: 10.1109/ICBDA.2017.8078842
- Halgamuge M. Review: Weak radiofrequency radiation exposure from mobile phone radiation on plants. ELECTROMAGNETIC BIOLOGY AND MEDICINE. Taylor & Francis Ltd. 2017, Vol. 36, Issue 2. DOI: 10.1080/15368378.2016.1220389
- Halgamuge M. The use and analysis of anti-plagiarism software: Turnitin tool for formative assessment and feedback. COMPUTER APPLICATIONS IN ENGINEERING EDUCATION. 2017, Vol. 25, Issue 6. DOI: 10.1002/cae.21842
- Delgoda D, Malano H, Saleem SK, Halgamuge M. Irrigation control based on model predictive control (MPC): Formulation of theory and validation using weather forecast data and AQUACROP model. ENVIRONMENTAL MODELLING & SOFTWARE. Elsevier Science. 2016, Vol. 78. DOI: 10.1016/j.envsoft.2015.12.012
- Wijesundera I, Halgamuge M, Nirmalathas A, Nanayakkara T. MFPT calculation for random walks in inhomogeneous networks. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS. Elsevier BV. 2016, Vol. 462. DOI: 10.1016/j.physa.2016.06.015
- Wijesundera I, Halgamuge M, Nanayakkara T, Nirmalathas A. Natural Disasters, When Will They Reach Me?. . Springer. 2016.
- Delgoda D, Saleem SK, Malano H, Halgamuge M. Root zone soil moisture prediction models based on system identification: Formulation of the theory and validation using field and AQUACROP data. AGRICULTURAL WATER MANAGEMENT. Elsevier. 2016, Vol. 163. DOI: 10.1016/j.agwat.2015.08.011
- Hareuveny R, Sudan M, Halgamuge M, Yaffe Y, Tzabari Y, Namir D, Kheifets L. Characterization of Extremely Low Frequency Magnetic Fields from Diesel, Gasoline and Hybrid Cars under Controlled Conditions. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH. Molecular Diversity Preservation International. 2015, Vol. 12, Issue 2. DOI: 10.3390/ijerph120201651
View a full list of publications on the University of Melbourne’s ‘Find An Expert’ profile