Dr Indu Bala
Associate Lecturer
School of Computer and Mathematical Sciences
Faculty of Sciences, Engineering and Technology
Eligible to supervise Masters and PhD (as Co-Supervisor) - email supervisor to discuss availability.
I have a background in applied mathematics and computational science. My interest lies in optimization, Stochastic Modelling, Artificial Intelligence in Health, Natural Language Processing, and Data Mining techniques
As a researcher and educator, I specialize in designing stochastic algorithms for optimization and leveraging AI and ML tools to enhance healthcare outcomes. My expertise also includes biostatistics and data science, where I am dedicated to developing practical solutions that tackle real-world problems. I am committed to utilizing cutting-edge technologies to boost efficiency and effectiveness across various sectors, including power systems, renewable energy, climate change, water management, and healthcare. My work aims to bridge theoretical research with tangible improvements in these critical areas.
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Appointments
Date Position Institution name 2024 - ongoing Associate Lecturer University of Adelaide 2022 - 2024 Post-Doctoral Researcher The University of Adelaide 2021 - 2022 Assistant Professor Presidency University -
Language Competencies
Language Competency English Can read, write, speak, understand spoken and peer review Hindi Can read, write, speak and understand spoken -
Education
Date Institution name Country Title 2016 - 2021 The Northcap University India PhD -
Research Interests
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Journals
Year Citation 2024 Bala, I., Kelly, T. -L., Lim, R., Gillam, M. H., & Mitchell, L. (2024). An Effective Approach for Multiclass Classification of Adverse Events Using Machine Learning. Journal of Computational and Cognitive Engineering, 3(3), 226-239.
Scopus12024 Bala, I., Kelly, T., Stanford, T., Gillam, M. H., & Mitchell, L. (2024). Machine learning-based analysis of adverse events in mesh implant surgery reports. Social Network Analysis and Mining, 14(1), 63-1-63-15.
Scopus12024 Bala, I., Yadav, A., & Kim, J. H. (2024). Optimization for cost-effective design of water distribution networks: a comprehensive learning approach. Evolutionary Intelligence, 17(4), 2981-3013.
Scopus12024 Kaushal, S., Kumar, R., Lofty, K., & Bala, I. (2024). Response of frequency domain in generalized thermoelastic medium under modified Green-Lindsay with non-local and two temperature. ZAMM-ZEITSCHRIFT FUR ANGEWANDTE MATHEMATIK UND MECHANIK, 104(5), 21 pages.
2024 Bala, I., & Mitchell, L. (2024). Thematic exploration of educational research after the COVID pandemic through topic modelling. Journal of Applied Learning and Teaching, 7(1), 26-34.
2024 Le, T. N., Afshar Ali, M., Gadzhanova, S., Lim, R., Bala, I., Bogale, K. N., & Gillam, M. (2024). Hernia repair prevalence by age and gender among the Australian adult population from 2017 to 2021. Critical Public Health, 34(1), 1-11.
2023 Bala, I. (2023). Natural Language Processing in Medical Science and Healthcare. Medicon Medical Sciences, 4(1), 1-2.
2022 Bala, I., & Yadav, A. (2022). Niching comprehensive learning gravitational search algorithm for multimodal optimization problems. Evolutionary Intelligence, 15(1), 695-721.
Scopus5 WoS12020 Bala, I., & Yadav, A. (2020). Comprehensive learning gravitational search algorithm for global optimization of multimodal functions. Neural Computing and Applications, 32(11), 7347-7382.
Scopus16 WoS102019 Bala, I., & Malhotra, A. (2019). Fuzzy classification with comprehensive learning gravitational search algorithm in breast tumor detection. International Journal of Recent Technology and Engineering, 8(2), 2688-2694.
Scopus4 -
Conference Papers
Year Citation 2024 Bala, I., Chauhan, D., & Mitchell, L. (2024). Orthogonally Initiated Particle Swarm Optimization with Advanced Mutation for Real-Parameter Optimization. In Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO '24) Vol. 12 (pp. 735-738). New York, NY: Association for Computing Machinery.
DOI2023 Bala, I., & Yadav, A. (2023). Optimizing Reactive Power of IEEE-14 Bus System Using Artificial Electric Field Algorithm. In Lecture Notes in Networks and Systems Vol. 613 (pp. 651-665). Singapore: Springer, Singapore.
DOI2020 Bala, I., & Yadav, A. (2020). Optimal Reactive Power Dispatch Using Gravitational Search Algorithm to Solve IEEE-14 Bus System. In Communication and Intelligent Systems Vol. 120 (pp. 463-473). Singapore: Springer Singapore.
DOI Scopus22018 Bala, I., & Yadav, A. (2018). Gravitational search algorithm: A state-of-the-art review. In N. Yadav, A. Yadav, J. C. Bansal, K. Deep, & J. H. Kim (Eds.), Advances in Intelligent Systems and Computing Vol. 741 (pp. 27-37). Singapore: Springer Nature.
DOI Scopus13 WoS5 -
Theses
Year Citation 2022 Bala, I. (2022). A Comprehensive Learning Gravitational Search Algorithm and its Applications. -
Preprint
Year Citation 2024 Bala, I. (2024). Modified CMA-ES Algorithm for Multi-Modal Optimization: Incorporating Niching Strategies and Dynamic Adaptation Mechanism.
DOI
1. Cass Travel Award- The CASS Foundation ($ 4000)
MATHS 7097A Data Science Research Project
MATHS7097 B Data Science Research Project
DATA4800 Artificial Intelligence and Machine Learning
DATA6000 Capstone: Industry Case Studies
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Memberships
Date Role Membership Country 2024 - ongoing Member Australian Academy of Science Australia 2024 - ongoing Member Association for Computing Machinery United States 2024 - ongoing Member Institute for Systems and Technologies of Information, Control and Communication(INSTICC ) Portugal 2022 - ongoing Member MathTech Thinking Foundation India -
Review, Assessment, Editorial and Advice
Date Title Type Institution Country 2022 - ongoing MC Medical Sciences Editorial Journal -
Connect With Me
External Profiles
