Dr Indu Bala

Lecturer

Optimisation and Stabilisation

Integration Management Office


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.

Date Position Institution name
2025 - ongoing Lecturer University of Adelaide
2024 - 2024 Associate Lecturer University of Adelaide
2022 - 2024 Post-Doctoral Researcher The University of Adelaide
2021 - 2022 Assistant Professor Presidency University

Date Type Title Institution Name Country Amount
2025 Fellowship Australia India Women Researchers’ Exchange (AIWE) Fellowship Australian Researcher Cooperation Hub Australia 9000
2025 Award STEM Trailblazer Award Australia Today International Women's Day Awards Australia -
2024 Award Data Science Pioneer Award WOC in STEM Australia -

Language Competency
English Can read, write, speak, understand spoken and peer review
Hindi Can read, write, speak and understand spoken

Date Institution name Country Title
2016 - 2021 The Northcap University India PhD

Year Citation
2025 Aggarwal, A., Awasthi, E., Kukreja, D., Kedia, J., & Bala, I. (2025). Modified moth flame optimization and logistic chaotic map integration for image encryption. INTERNATIONAL JOURNAL OF SYSTEM ASSURANCE ENGINEERING AND MANAGEMENT, 16(2), 785-804.
DOI
2025 Bala, I., Singh, K., Kiran., Kataria, R., & Sindhu, J. (2025). AIE active Schiff base derived Pd(II) complex as a ratiometric sensor for fluoride ion. INORGANICA CHIMICA ACTA, 574, 10 pages.
DOI WoS5
2025 Bala, I., Karunarathne, W., & Mitchell, L. (2025). Optimizing Feature Selection by Enhancing Particle Swarm Optimization with Orthogonal Initialization and Crossover Operator. Computers, Materials & Continua, 84(1), 727-744.
DOI Scopus3 WoS3
2025 Bala, I., Sharma, E., & Mitchell, L. (2025). Clinical insight from mesh implant narratives using zero-shot Retrieval-Augmented Generation approach. ARTIFICIAL INTELLIGENCE SURGERY, 5(4), 476-489.
DOI
2024 Bala, I., Kumar, S., Sandhu, M., Chopra, S., & Kumar, D. (2024). Erratum to Estimation of Geometrical Spreading Factor and Coda-Wave Attenuation Characteristics for the Saurashtra Horst in Western Deccan Volcanic Province, Gujarat, India. BULLETIN OF THE SEISMOLOGICAL SOCIETY OF AMERICA, 114(5), 2789-2790.
DOI WoS2
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.
DOI Scopus2 WoS3
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.
DOI Scopus2
2024 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, article no. 63), 63-1-63-15.
DOI Scopus2 WoS2
2024 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.
DOI Scopus5 WoS1
2024 Bala, I., & Mitchell, L. (2024). Thematic exploration of educational research after the COVID pandemic through topic modelling. Journal of Applied Learning & Teaching, 7(1), 26-34.
DOI Scopus4
2023 Bala, I. (2023). Natural Language Processing in Medical Science and Healthcare. Medicon Medical Sciences, 4(1), 1-2.
DOI
2022 Bala, I., Singh, K., Kataria, R., & Sindhu, M. (2022). Exploration of structural, electrostatic and photophysical behaviour of novel Ni(II), Cu(II) and Zn(II) complexes and their utility as potent antimicrobial agents. APPLIED ORGANOMETALLIC CHEMISTRY, 36(6), 24 pages.
DOI WoS21
2022 Bala, I., & Yadav, A. (2022). Niching comprehensive learning gravitational search algorithm for multimodal optimization problems. Evolutionary Intelligence, 15(1), 695-721.
DOI Scopus8 WoS6
2020 Bala, I., & Yadav, A. (2020). Comprehensive learning gravitational search algorithm for global optimization of multimodal functions. Neural Computing and Applications, 32(11), 7347-7382.
DOI Scopus19 WoS15
2019 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.
DOI Scopus5

Year Citation
2025 Gupta, N., Bala, I., Dutta, B., Martínez, L., & Yadav, A. (2025). Enhancing Explainability and Reliable Decision-Making in Particle Swarm Optimization through Communication Topologies. In G. Ochoa (Ed.), Gecco 2025 Companion Proceedings of the 2025 Genetic and Evolutionary Computation Conference Companion (pp. 955-958). SPAIN, Malaga: ASSOC COMPUTING MACHINERY.
DOI
2024 Bala, I., Chauhan, D., & Mitchell, L. (2024). Orthogonally Initiated Particle Swarm Optimization with Advanced Mutation for Real -Parameter Optimization. In PROCEEDINGS OF THE 2024 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE COMPANION, GECCO 2024 COMPANION (pp. 735-738). AUSTRALIA, Melbourne: ASSOC COMPUTING MACHINERY.
DOI WoS3
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) (pp. 735-738). New York, NY: Association for Computing Machinery.
DOI Scopus3
2023 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.
DOI
2020 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 Scopus3
2018 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 Scopus14 WoS7

Year Citation
2022 Bala, I. (2022). A Comprehensive Learning Gravitational Search Algorithm and its Applications.

Year Citation
2025 Bala, I. (2025). Enhancing Explainability and Reliable Decision-Making in Particle Swarm Optimization through Communication Topologies.
DOI
2025 Bala, I., Mitchell, L., & Gillam, M. (2025). Analysis of Voluntarily Reported Data Post Mesh Implantation for Detecting Public Emotion and Identifying Concern Reports.
DOI
2025 Chauhan, D., Dutta, B., Bala, I., Stein, N., Bäck, T., & Yadav, A. (2025). Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications.
DOI
2025 Liu, S., Zhang, S., & Bala, I. (2025). Robust or Suggestible? Exploring Non-Clinical Induction in LLM Drug-Safety Decisions.
DOI
2024 Bala, I. (2024). Modified CMA-ES Algorithm for Multi-Modal Optimization: Incorporating Niching Strategies and Dynamic Adaptation Mechanism.
DOI
  • SET Early mid-career researcher (EMCR) grant (2025)
  • Australia-India Women Researchers’ Exchange Fellowship (2024)
  • WIMSNG Conference travel grant (2024)
  • Cass Travel grant- The CASS Foundation (2023)
  • UN-Datathon travel grant (2023)

MATHS 7097A  Master of Data Science Research Projects

MATHS7097 B  Master of Data Science Research Projects

DATA4800 Artificial Intelligence and Machine Learning

DATA6000 Capstone: Industry Case Studies 

COMP SCI 7100 Research project Master of Computer Science

COMP SCI 3317 - Using Machine Learning Tools

Date Role Research Topic Location Program Supervision Type Student Load Student Name
2025 - ongoing Principal Supervisor Al-Driven Text Analytics for Early Detection of Mental Health Risks University of Adelaide Internship Master - Yu-Chieh Liao
2025 - ongoing External Supervisor Advancing Physics-Informed Neural Networks for Efficient and Generalizable Solutions of Partial and Ordinary Differential Equations in Complex Physical Systems SLIET - Doctorate Full Time Subarna Khanra
2025 - ongoing Principal Supervisor Exploring Dynamic Knowledge Structures through Transformer-Based Embedding Techniques University of Adelaide - Master Full Time Paul Andrew Lucena
2024 - 2024 Principal Supervisor Developing of a multi-objective AutoML system to optimise neural network architecture University of Adelaide Adelaide Summer Research Scholarship 2024-25 Other - Henry James Philip
2024 - ongoing Principal Supervisor Adverse Events Detection and Advisory Systems of FDA Database Based on Machine Learning and RAG Model University of Adelaide - Master Full Time Yige Wang

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

Date Topic Presented at Institution Country
2025 - 2025 Toward transparent evolution: explainability in stochastic and Machine Learning algorithm Invited talk at National Conference on mathematical and statistical modelling, Simulation and optimization of Energy University of Bengkulu Indonesia
2025 - 2025 A Synergistic Framework of Evolutionary Algorithms and Explainable Machine Learning Expert talk at Summer School on Evolutionary Algorithms and Machine Learning, National Institute of Technology India

Date Title Type Institution Country
2025 - ongoing International Advisory Committee Member Advice International Conference on Recent Trends in Intelligent Computing, Manufacturing, and Electronics (rTIME-2025) -
2022 - ongoing MC Medical Sciences Editorial Journal -

Connect With Me

External Profiles