Intelligent Analytics & Sensing (IAS) Research | UniSC | University of the Sunshine Coast, Queensland, Australia

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Intelligent Analytics & Sensing (IAS) Research

Intelligent Analytics & Sensing (IAS) at USC is a team of researchers with expertise in emerging technology areas including machine learning, visual information processing, big data, intelligent systems, satellite systems, Internet of Things, smart wireless sensor systems, visualization, robotics, electrical and mechatronics engineering, and advanced embedded hardware platforms (eg FPGA, GPU, SoC).

IAS serves as a one-stop technology link to leverage on the strengths in key emerging technologies such as intelligent & multimedia data analytics, intelligent sensor systems, intelligent modelling, and 3D structure sensing to realise practical integrated real-world solutions for technology value chains.

  • Target projects and collaborations in Digital Economy Research to investigate how digital technologies may enhance industries and the way people live.
  • Research focuses on developing new innovative technologies for Australian industries in areas such as manufacturing, defence, health, agriculture, aquaculture, smart transportation systems, smart grid, coastal monitoring, forestry, fisheries, farms and services for communities in urban and regional Australia.
  • Close collaboration with world class research centres.
  • Integrate research activities and outcomes into teaching.

For further information on the IAS group, please contact:

​Professor Li-minn Ang (Ken)

Email: lang@usc.edu.au

Phone: +61 7 5456 3551

Selected IAS Publications in 2020 – 2021

  1. Ang, L. M., & Seng, K. P. (2021). Meta-scalable discriminate analytics for Big hyperspectral data and applications. Expert Systems with Applications, 176, 114777. https://doi.org/10.1016/j.eswa.2021.114777
  2. Ang, K. L. M., & Seng, J. K. P. (2021). Big Data and machine learning with hyperspectral information in agriculture. IEEE Access. https://doi.org/10.1109/ACCESS.2021.3051196
  3. Ijemaru, G. K., Ang, K. L. M., & Seng, J. K. (2021). Mobile collectors for opportunistic Internet of Things in smart city environment with wireless power transfer. Electronics, 10(6), 697. https://doi.org/10.3390/electronics10060697
  4. Nwajana, A. O., Ijemaru, G. K., Ang, K. L. M., Seng, J. K., & Yeo, K. S. (2021). Unbalanced two-way filtering power splitter for wireless communication systems. Electronics, 10(5), 617. https://doi.org/10.3390/electronics10050617
  5. Rahman, M. A., Ang, L. M., & Seng, K. P. (2020). Clustering biomedical and gene expression datasets with kernel density and unique neighborhood set based vein detection. Information Systems, 91, 101490. https://doi.org/10.1016/j.is.2020.101490
  6. Ang, K. L. M., Ge, F. L., & Seng, K. P. (2020). Big educational data & analytics. IEEE Access, 8, 116392-116414. https://doi.org/10.1109/ACCESS.2020.2994561
  7. Rahman, M. A., Ang, L. M., & Seng, K. P. (2020). Data convexity and parameter independent clustering for biomedical datasets. IEEE/ACM transactions on computational biology and bioinformatics. https://doi.org/10.1109/TCBB.2020.2978188
  8. Shoumy, N. J., Ang, L. M., Seng, K. P., Rahaman, D. M., & Zia, T. (2020). Multimodal big data affective analytics: A comprehensive survey using text, audio, visual and physiological signals. Journal of Network and Computer Applications, 149, 102447. https://doi.org/10.1016/j.jnca.2019.102447
  9. Ang, L. M., Ge, F. L., Seng, K. P. Mathematical modeling and mining real-world Big education datasets with application to curriculum mapping. Mathematical Biosciences and Engineering (article in press).
  10. Ang, L. M., Seng, K. P. Biometrics-based Internet of Things and Big data design framework. Mathematical Biosciences and Engineering (article in press).
  11. Ang, L. M., & Seng, K. P. (2021). GPU-based embedded intelligence architectures and applications. Electronics, 10(8), 952. https://doi.org/10.3390/electronics10080952
  12. Seng, K. P., Lee, P. J., & Ang, L. M. (2021). Embedded intelligence on FPGA. Electronics, 10(8), 895. https://doi.org/10.3390/electronics10080895
  13. Rahman, S., Saha, S., Islam, S. N., Arif, M., Mosadeghy, M., Haque, E., & Oo, A. M. (2021). Analysis of power grid voltage stability with high penetration of solar PV systems. IEEE Transactions on Industry Applications. https://doi.org/10.1109/ias44978.2020.9334716
  14. Hassan, M. U., Saha, S., & Haque, M. E. (2021). PVAnalytX: A MATLAB toolkit for techno-economic analysis and performance evaluation of rooftop PV systems. Energy, 223, 120074. https://doi.org/10.1016/j.energy.2021.120074
  15. Hassan, M. U., Saha, S., & Haque, M. E. (2021). A framework for the performance evaluation of household rooftop solar battery systems. International Journal of Electrical Power & Energy Systems, 125, 106446. https://doi.org/1016/j.ijepes.2020.106446
  16. Hossain, M., Saha, S., Arif, M. T., Oo, A. M., Mendis, N., & Haque, M. E. (2020). A parameter extraction method for the Li-ion batteries with wide-range temperature compensation. IEEE Transactions on Industry Applications, 56(5), 5625-5636. https://doi.org/10.1109/TIA.2020.3011385
  17. Rahman, M. S., Orchi, T., Saha, S., & Haque, M. E. (2020). Cooperative multiagent based distributed power sharing strategy in low-voltage microgrids. IEEE Transactions on Industry Applications, 56(4), 3285-3296. https://doi.org/10.1109/TIA.2020.2986449
  18. Taghvaie, A., Haque, M. E., Saha, S., & Mahmud, M. A. (2020). A new step-up switched-capacitor voltage balancing converter for NPC multilevel inverter-based solar PV system. IEEE Access, 8, 83940-83952. https://doi.org/10.1109/ACCESS.2020.2992093
  19. Chua, W. S., Chan, J. C. L., Tan, C. P., Chong, E. K. P., & Saha, S. (2020). Robust fault reconstruction for a class of nonlinear systems. Automatica, 113, 108718. https://doi.org/10.1016/j.automatica.2019.108718
  20. Saha, S., Haque, M. E., Tan, C. P., Mahmud, M. A., Arif, M. T., Lyden, S., & Mendis, N. (2020). Diagnosis and mitigation of voltage and current sensors malfunctioning in a grid connected PV system. International Journal of Electrical Power & Energy Systems, 115, 105381. https://doi.org/10.1016/j.ijepes.2019.105381
  21. Ahmadi, A., Nezhad, A. E., Siano, P., Hredzak, B., & Saha, S. (2019). Information-gap decision theory for robust security-constrained unit commitment of joint renewable energy and gridable vehicles. IEEE Transactions on Industrial Informatics, 16(5), 3064-3075. https://doi.org/10.1109/TII.2019.2908834
  22. Srivastava, S. K., Scott, G., & Rosier, J. (2021). Use of geodesign tools for visualisation of scenarios for an ecologically sensitive area at a local scale. Environment and Planning B: Urban Analytics and City Science, 2399808321991538. https://doi.org/10.1177/2399808321991538
  23. O’Connor, J. M., Srivastava, S. K., Brunton, E. A., & Burnett, S. E. (2021). Urban fringe dweller: the European red fox (Vulpes vulpes) in an urban coastal ecosystem. Australian Journal of Zoology. https://doi.org/10.1071/ZO20069
  24. Eliott, M., Lewis, T., Venn, T., & Srivastava, S. K. (2020). Planned and unplanned fire regimes on public land in south-east Queensland. International Journal of Wildland Fire, 29(5), 326-338. https://doi.org/10.1071/WF18213
  25. Olive, K., Lewis, T., Ghaffariyan, M. R., & Srivastava, S. K. (2020). Comparing canopy height estimates from satellite-based photogrammetry, airborne laser scanning and field measurements across Australian production and conservation eucalypt forests. Journal of Forest Research, 25(2), 108-112. https://doi.org/10.1080/13416979.2020.1735671
  26. Srivastava, S. K., Lewis, T., Behrendorff, L., & Phinn, S. (2021). Spatial databases and techniques to assist with prescribed fire management in the south-east Queensland bioregion. International Journal of Wildland Fire, 30(2), 90-111. https://doi.org/10.1071/WF19105
  27. Van Holsbeeck, S., Brown, M., Srivastava, S. K., & Ghaffariyan, M. R. (2020). A review on the potential of forest biomass for bioenergy in Australia. Energies, 13(5), 1147. https://doi.org/10.3390/en13051147
  28. Van Holsbeeck, S., & Srivastava, S. K. (2020). Feasibility of locating biomass-to-bioenergy conversion facilities using spatial information technologies: A case study on forest biomass in Queensland, Australia. Biomass and Bioenergy, 139, 105620. https://doi.org/10.1016/j.biombioe.2020.105620
  29. Tham, A., Waldron, R., McCallum, A., & Srivastava, S. K. (2021). Eclectic approaches to analyze recreational cruise sustainability. Journal of Park and Recreation Administration. https://doi.org/10.18666/JPRA-2020-10386
  30. Hong, H., Li, X., & Wang, M. (2019). Gane: A generative adversarial network embedding. IEEE transactions on neural networks and learning systems, 31(7), 2325-2335. https://doi.org/10.1109/TNNLS.2019.2921841
  31. Zhang, L., Li, X., Chen, S., Zang, H., Huang, J., & Wang, M. (2020, April). Universal value iteration networks: When spatially-invariant is not universal. In Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 34, No. 04, pp. 6778-6785.
  32. Wang, M., & Kerr, D. (2020). The integration of robots and wearables. Mobile Technologies for Delivering Healthcare in Remote, Rural or Developing Regions. pp. 291–304. https://doi.org 10.1049/PBHE024E_ch
  33. Tham, A., & Wang, M. (2021). Revisiting online tourism forums as vehicles for value co-destruction. Tourism Planning & Development, 18(2), 125-146. https://doi.org/10.1080/21568316.2021.1873832
  34. Wang, M., Pan, C., & Ray, P. K. (2021). Technology entrepreneurship in developing countries: Role of telepresence robots in healthcare. IEEE Engineering Management Review.
  35. Li, X., Zang, H., Yu, X., Wu, H., Zhang, Z., Liu, J., & Wang, M. (2021). On improving knowledge graph facilitated simple question answering system. Neural Computing and Applications, 1-10. https://doi.org/10.1007/s00521-021-05762-9
  36. Izhar, U., Albermani, F., Preethichandra, D. M. G., Sul, J., & van Rensburg, P. J. (2020). An electrothermally actuated MEMS braille dot. In ACMSM25 (pp. 985-993). Springer, Singapore. https://doi.org/10.1007/978-981-13-7603-0_93
  37. Bashir, A., Izhar, U., & Jones, C. (2020). IoT-based COVID-19 SOP compliance and monitoring system for businesses and public offices. In Engineering Proceedings (Vol. 2, No. 1, p. 14). Multidisciplinary Digital Publishing Institute. https://doi.org/10.3390/ecsa-7-08267
  38. Preethichandra, D. M. G., Piyathilaka, L., & Izhar, U. (2020). Experimental study on cabin carbon dioxide concentration in light passenger vehicles. In Engineering Proceedings (Vol. 2, No. 1, p. 88). Multidisciplinary Digital Publishing Institute. https://doi.org/10.3390/ecsa-7-08266
  39. Piyathilaka, L., Preethichandra, D. M. G., Izhar, U., & Kahandawa, G. (2020). Real-time concrete crack detection and instance segmentation using deep transfer learning. In Engineering Proceedings (Vol. 2, No. 1, p. 91). Multidisciplinary Digital Publishing Institute. https://doi.org/10.3390/ecsa-7-08260
  40. Wishaw, D., Leon, J. X., Barnes, M., & Fairweather, H. (2020). Tropical cyclone impacts on headland protected bay. Geosciences, 10(5), 190. https://doi.org/10.3390/geosciences10050190
  41. Mardani, N., Suara, K., Fairweather, H., Brown, R., McCallum, A., & Sidle, R. C. (2020). Improving the accuracy of hydrodynamic model predictions using Lagrangian calibration. Water, 12(2), 575. https://doi.org/10.3390/w12020575
  42. Olofinjana, A., Ashford, T., Kent, D., & Fairweather, H. (2020). Immersive visualisation-seeing the engineering problem in surround vision. In Annual Conference of the Australasian Association for Engineering Education. Australasian Association for Engineering Education.
  43. Liu, D. L., Mo, J., Fairweather, H., & Timbal, B. (2020, January). A GIS tool to evaluate climate change impact: functionality and case study. In 18th World IMACS Congress and International Congress on Modelling and Simulation MODSIM 2009 (pp. 1936-1942). Modelling and Simulation Society of Australia and New Zealand Inc. (MSSANZ).

IAS Grants and Research Activities in 2020 – 2021

A Smartphone-based Decision Support Tool to Inform on Fruit Volume and Optimal Harvest Time, AGWA, Funding amount: $347K [CIs from IAS: L.M. Ang] (2018-2021)

A Diagnostic Tool for the Assessment of Grapevine Nutrition, AGWA, Funding amount: $650K [CIs from IAS: L.M. Ang] (2018-2021)

AI and Machine Learning for Smart Sensing Environments, Funding amount: $40K [CIs from IAS: L.M. Ang] (2020-2022)

A.I. Camera Crawler and Hopper to Detect Defects in the Moreton Bay Stormwater Network, Moreton Bay Regional Council, Funding amount: $36K [CIs from IAS: H. Fairweather, L.M. Ang, U. Izhar] (2020-2021)

Intelligent Network Control Device to Capture Real-Time Data on Energy Networks, Australia Renewable Energy Agency (ARENA), Funding amount: $100K [CIs from IAS: S. Saha] (2018-2021)

Gap Analysis and Development of a Performance standard for Battery Storage, Australia Renewable Energy Agency (ARENA) and Victoria Government, Funding amount: $24K [CIs from IAS: S. Saha] (2018-2020)

Improving Native Forest Inventory with the Integration of Remote Sensing Datasets, Department of Agriculture and Fisheries QLD, Funding amount: $68K [CIs from IAS: S. Srivastava] (2020 completed)

Valuing the Sunshine Coast's Natural Assets, Sunshine Coast Regional Council, Funding amount: $360K [CIs from IAS: S. Srivastava] (2020-2022)

Protecting Ecosystems and Livelihoods of the Sundarbans, a World Heritage Site: Assessing the Impact of Natural Hazards on Forest-Based Ecosystem Services, Asia-Pacific Network Global Change Research, Funding amount: $131K [CIs from IAS: S. Srivastava] (2020-2021)

Developing a Web-Based Tool to Merge SWOT Analysis Results from International Bio Hub Case Studies, International Energy Association, Funding amount: $42K [CIs from IAS: S. Srivastava] (2020-2021)

Drone-Based Inventory to Assist in Resource Estimates of Private Native Forest, Department of Agriculture and Fisheries QLD, Funding amount: $4K [CIs from IAS: S. Srivastava] (2020-2021)

Recovery Response of Koala Habitat after Fire, PhD project funded by Australian Koala Foundation, Funding amount: $121K [CIs from IAS: S. Srivastava] (2020-2022)

An Empirical and Dynamic Tool for Prediction of Forest Fire Spread Using Remote Sensing and Machine Learning Technique, PhD project funded by SmartSat CRC, Funding amount: $119K [CIs from IAS: S. Srivastava] (2021-2023)

IAS PhD Student Projects

Gerald Ijemaru – Large Scale Multimedia Internet of Things for Smart Cities

Lee – Deep Learning Algorithms and Architectures for High Performance Systems (joining USC in 2021)

Muhammad Ismail Saleem – Stability and Security of Power Grids with High Penetration of Renewable Energy Resources (joining USC in 2021)

Derek Johnson – Recovery Response of Koala Habitat After Fire

Harikesh – An Empirical and Dynamic Tool for Prediction of Forest Fire Spread Using Remote Sensing and Machine Learning Technique (joining USC in 2021)

Sam Van Holsbeeck – Determining the Potential Contribution of Utilising Forest Biomass Resources for Bioenergy Production and Climate Mitigation (completed 2020)

Martyn Eliott – Economic Evaluation of Prescribed Fire as a Bushfire Risk Mitigation Tool in Southeast Queensland

Marion Howard – Assessing the Diversity and Conservation of Central Queensland Rainforest using DNA Barcoding

Leon Cavalli – An Artificial Intelligence Approach to Pre-operative Anaemia Management in On-Pump Cardiac Surgery

Cheryl White – What is the Impact of Mindset on the Acquisition of Digital Skill Sets Required to Build General Workforce ICT Capability

Leader of IAS

Li-minn Ang (Ken) – Professor of Electrical and Computer Engineering

Members of IAS

Dr Helen Fairweather – Senior Lecturer in Environmental Engineering

Dr Umer Izhar – Lecturer in Mechatronic Engineering

Dr Sajeeb Saha – Senior Lecturer in Electrical Engineering

Dr Sanjeev Srivastava – Senior Lecturer in Geospatial Analysis, SmartSat CRC Lead

Dr Mingzhong Wang – Lecturer in Computer Science

Honorary Members of IAS

Christian Jones – Professor in Interactive Digital Media, Director of Engage Lab, USC

Prof. K. P. Seng – UNSW (ADFA)

​Dr Robyn Stokes – CEO Bionics Queensland​

Aerial Aeromatrix

Airborne Logic

Australian Renewable Energy Agency (ARENA)

Asia Pacific Network Global Change Research (APN GCR)

Australian Koala Foundation

Beijing Institute of Technology

Bionics Queensland

CSIRO

Department of Agriculture and Fisheries (DAF), Queensland

Department of Transport and Main Roads, Queensland

Elexon Electronics

Energex

Energy Queensland

Fireball International

HQ Plantations

ICAR-Central Research Institute for Jute & Allied Fibres, India

Institute of Integrated and Intelligent Systems, Griffith University

International Energy Association

MAXAR

MDA

Moreton Bay Regional Council

Noja Power

NSW Department of Primary Industries

NSW Health

Oceania Cyber Security Centre (OCSC)

Office of Planetary Observations

Queensland Defence Science Alliance

Queensland Fire and Emergency Services

Queensland Parks and Wildlife Services and Partnership

NSW Health

Sunshine Coast Regional Council

SmartSat CRC

University of Michigan Joint Institute in Shanghai Jiao Tong University