Dr Bo Song

NameDr Bo Song
Email Addressbo.song@unisq.edu.au
Job TitleLecturer (Industrial Automation)
QualificationsBEng Henan, MIT UNSW, PhD USQ
DepartmentSchool of Engineering
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Employment

PositionOrganisationFromTo
Lecturer (Industrial Automation)University of Southern Queensland2020
Industrial Research FellowUniversity of Southern Queensland20182019

Expertise

Multi-modal Realistic Human Head Modelling

Image and Signal Processing

Artificial Intelligence and Machine Learning

Teaching

MEC1501 - Introduction to Industrial Processes

ELE2101 - Control and Instrumentation

ELE2103 - Linear Systems and Control

ELE3105 - Computer Controlled Systems

ELE3305 - Computer Systems and Communications Protocols

ENG1002 - Introduction to Engineering and Built Environment Applications

ENG3909 - Work Experience - Technologist

ENG4909 - Work Experience - Professional

Fields of Research

  • 400304. Biomedical imaging
  • 400305. Biomedical instrumentation
  • 400310. Rehabilitation engineering
  • 400705. Control engineering
  • 400709. Medical robotics

Professional Membership

Professional MembershipYear
ACS
IEEE
BEng
Henan
2011
MIT
UNSW
2012
PhD
USQ
2017

Current Supervisions

Research TitleSupervisor TypeLevel of StudyCommenced
Depth of Anaesthesia Assessment and Prediction Based on ElectroencephalographAssociate SupervisorDoctoral2025
Real-time Diagnosis and Monitoring of Mental Health Conditions Using Bio-signals and AIAssociate SupervisorDoctoral2025
Advanced Multimodal Brain Network Modelling and ApplicationsAssociate SupervisorDoctoral2024
Developing Deep Learning Methods for Detection and Segmentation of Brain Tumor using 3D and 4D ImagesAssociate SupervisorDoctoral2022

Completed Supervisions

Research TitleSupervisor TypeLevel of StudyCompleted
MODELLING AND NUMERICAL INVESTIGATIONS OF TRANSCRANIAL FOCUSED ULTRASOUND STIMULATIONAssociate SupervisorDoctoral2023
Real-Time Epilepsy Seizure Detection and Brain Connectivity Analysis using ElectroencephalogramAssociate SupervisorDoctoral2023

Mental Health Diagnosis From Voice Data Using Convolutional Neural Networks and Vision Transformers

Islam, Rafiul, Ahad, Md. Taimur, Ahmed, Faruk, Song, Bo and Li, Yan. 2024. "Mental Health Diagnosis From Voice Data Using Convolutional Neural Networks and Vision Transformers." Journal of Voice. https://doi.org/10.1016/j.jvoice.2024.10.010

A customised vision transformer for accurate detection and classification of Java Plum leaf disease

Bhowmik, Auvick Chandra, Ahad, Md. Taimur, Emon, Yousuf Rayhan, Ahmed, Faruk, Song, Bo and Li, Yan. 2024. "A customised vision transformer for accurate detection and classification of Java Plum leaf disease ." Smart Agricultural Technology . 8. https://doi.org/10.1016/j.atech.2024.100500

A real-time epilepsy seizure detection approach based on EEG using short-time Fourier transform and Google-Net convolutional neural network

Shen, Mingkan, Yang, Fuwen, Wen, Peng, Song, Bo and Li, Yan. 2024. "A real-time epilepsy seizure detection approach based on EEG using short-time Fourier transform and Google-Net convolutional neural network." Heliyon. 10 (11). https://doi.org/10.1016/j.heliyon.2024.e31827

3D convolutional neural network for schizophrenia detection using as EEG-based functional brain network

Shen, Mingkan, Wen, Peng, Song, Bo and Li, Yan. 2024. "3D convolutional neural network for schizophrenia detection using as EEG-based functional brain network." Biomedical Signal Processing and Control. 89. https://doi.org/10.1016/j.bspc.2023.105815

Comparison of CNN-based deep learning architectures for rice diseases classification

Ahad, Md Taimur, Li, Yan, Song, Bo and Bhuiyan, Touhid. 2023. "Comparison of CNN-based deep learning architectures for rice diseases classification." Artificial Intelligence in Agriculture. 9, pp. 22-35. https://doi.org/10.1016/j.aiia.2023.07.001

Automatic identification of schizophrenia based on EEG signals using dynamic functional connectivity analysis and 3D convolutional neural network

Shen, Mingkan, Wen, Peng, Song, Bo and Li, Yan. 2023. "Automatic identification of schizophrenia based on EEG signals using dynamic functional connectivity analysis and 3D convolutional neural network." Computers in Biology and Medicine. 160. https://doi.org/10.1016/j.compbiomed.2023.107022

Numerical Evaluation of the Human Skull with Focused Ultrasound Stimulation

Huang, Yi, Wen, Peng, Song, Bo and Li, Yan. 2023. "Numerical Evaluation of the Human Skull with Focused Ultrasound Stimulation ." Acoustics Australia. 51 (2), p. 233–241. https://doi.org/10.1007/s40857-023-00289-6

Real-time epilepsy seizure detection based on EEG using tunable-Q wavelet transform and convolutional neural network

Shen, Mingkan, Wen, Peng, Song, Bo and Li, Yan. 2023. "Real-time epilepsy seizure detection based on EEG using tunable-Q wavelet transform and convolutional neural network." Biomedical Signal Processing and Control. 82. https://doi.org/10.1016/j.bspc.2022.104566

Aiming Sustainable Transportation Utilizing Social Capital: A Perspective of Mobile Car Park App

Song Bo, Ahad, Md Taimur, Li, Yan and Rahman, F.M. Nafis. 2022. "Aiming Sustainable Transportation Utilizing Social Capital: A Perspective of Mobile Car Park App ." Mobile Information Systems. 2022. https://doi.org/10.1155/2022/5606833

Detection of alcoholic EEG signals based on whole brain connectivity and convolution neural networks

Shen, Mingkan, Wen, Peng, Song, Bo and Li, Yan. 2023. "Detection of alcoholic EEG signals based on whole brain connectivity and convolution neural networks." Biomedical Signal Processing and Control. 79 (Part 2). https://doi.org/10.1016/j.bspc.2022.104242

Real-Time Depth of Anaesthesia Assessment Based on Hybrid Statistical Features of EEG

Huang, Yi, Wen, Peng, Song, Bo and Li, Yan. 2022. "Real-Time Depth of Anaesthesia Assessment Based on Hybrid Statistical Features of EEG." Sensors. 22 (16). https://doi.org/10.3390/s22166099

An EEG based real-time epilepsy seizure detection approach using discrete wavelet transform and machine learning methods

Shen, Mingkan, Wen, Peng, Song, Bo and Li, Yan. 2022. "An EEG based real-time epilepsy seizure detection approach using discrete wavelet transform and machine learning methods." Biomedical Signal Processing and Control. 77, pp. 1-8. https://doi.org/10.1016/j.bspc.2022.103820

Novel large scale brain network models for EEG epileptic pattern generations

Al-Hossenat, Auhood, Song, Bo, Wen, Peng and Li, Yan. 2022. "Novel large scale brain network models for EEG epileptic pattern generations." Expert Systems with Applications. 194. https://doi.org/10.1016/j.eswa.2021.116477

Numerical investigation of the energy distribution of Low-intensity transcranial focused ultrasound neuromodulation for hippocampus

Huang, Yi, Wen, Peng, Song, Bo and Li, Yan. 2022. "Numerical investigation of the energy distribution of Low-intensity transcranial focused ultrasound neuromodulation for hippocampus." Ultrasonics. 124. https://doi.org/10.1016/j.ultras.2022.106724

ADHD Children Identification Based on EEG Using Effective Connectivity Techniques

Shen, M., Wen, Peng, Song, Bo and Li, Yan. 2021. "ADHD Children Identification Based on EEG Using Effective Connectivity Techniques ." Siuly, Siuly, Wang, Hua, Chen, Lu, Guo, Yanhui and Xing, Chunxiao (ed.) 10th International Conference on Health Information Science (HIS 2021). Melbourne, Australia 25 - 28 Oct 2021 Switzerland. https://doi.org/10.1007/978-3-030-90885-0_7

A preliminary study of the impact of lateral head orientations on the current distributions during tDCS

Song, Bo, Menezes de Oliveira, Marilia, Wang, Shuaifang, Li, Yan, Wen, Peng and Ahfock, Tony. 2019. "A preliminary study of the impact of lateral head orientations on the current distributions during tDCS." Liang, Peipeng, Goel, Vinod and Shan, Chunlei (ed.) 12th International Conference on Brain Informatics (BI 2019). Haikou, China 13 - 15 Dec 2019 Cham, Switzerland. https://doi.org/10.1007/978-3-030-37078-7_25

An auto TCD probe design and visualization

Huang, Yi, Wen, Peng, Song, Bo and Li, Yan. 2018. "An auto TCD probe design and visualization." Wang, Shouyi, Yamamoto, Vicky, Su, Jianzhong, Yang, Yang, Jones, Erick, Iasemidis, Leon and Mitchell, Tom (ed.) 11th International Conference on Brain Informatics (BI 2018). Arlington, United States 07 - 09 Dec 2018 Sham, Switzerland. https://doi.org/10.1007/978-3-030-05587-5_46

Human Head Modelling Simulation Applied to Electroconvulsive Therapy

Menezes de Oliveira, Marilia, Song, Bo, Ahfock, Tony, Li, Yan and Wen, Paul. 2018. "Human Head Modelling Simulation Applied to Electroconvulsive Therapy." Abreu de Souza, Mauren, Remigio Gamba, Humberto and Pedrini, Helio (ed.) Multi-Modality Imaging: Applications and Computational Techniques. Cham, Switzerland. Springer. pp. 103-133

Numeric investigation of brain tumor influence on the current distributions during transcranial direct current stimulation

Song, Bo, Wen, Peng, Ahfock, Tony and Li, Yan. 2016. "Numeric investigation of brain tumor influence on the current distributions during transcranial direct current stimulation." IEEE Transactions on Biomedical Engineering. 63 (1), pp. 176-187. https://doi.org/10.1109/TBME.2015.2468672

Numerical human head modelling and investigation for precise tDCS applications

Song, Bo. 2016. Numerical human head modelling and investigation for precise tDCS applications. PhD Thesis Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/5bf4f42ab17a4

Use of electric field orientation as an index for estimating the contribution of model complexity in transcranial direct current stimulation forward head model development

Shahid, Syed Salman, Song Bo, Salman, Humaira, de Oliveira, Marilia Menezes and Wen, Peng. 2015. "Use of electric field orientation as an index for estimating the contribution of model complexity in transcranial direct current stimulation forward head model development ." IET Science, Measurement and Technology. 9 (5), pp. 596-605. https://doi.org/10.1049/iet-smt.2014.0220

Analysis of epileptic EEG signals with simple random sampling J48 algorithm

Wang, Shuaifang, Zhu, Guohun, Li, Yan, Wen, Peng and Song, Bo. 2014. "Analysis of epileptic EEG signals with simple random sampling J48 algorithm." International Journal of Bioscience, Biochemistry and Bioinformatics (IJBBB). 4 (2), pp. 78-81. https://doi.org/10.7763/IJBBB.2014.V4.314