Dr Sankaran Iyer

Dr Sankaran Iyer

Senior Research Associate

PhD: Computer Science, UNSW 2023

MCompSc: UNSW 1994

BE (Hons): Electrical and Electronics Engineering from Birla Institute of Technology and Science Pilani (India)

 

 

Engineering
Computer Science and Engineering

I obtained my PhD degree in 2023 from UNSW. My research focused on ‘Vertebral Compression Fracture Detection with a Novel 3D Localization Algorithm.’ I combined deep reinforcement learning with imitation learning to achieve this. Initially, I used a fully supervised learning approach for predicting vertebral compression fractures within localized regions. Later, I explored weakly supervised multiple instance learning. Additionally, I adapted my localization algorithm to work in a semi-supervised setting.

My Master’s degree in Computer Science, which I earned from UNSW in 1994, centered around detecting Latin characters using artificial neural networks.

With over 30 years of industry experience, I’ve contributed to complex projects related to real-time embedded systems, intelligent networks, and operation support systems. I retired voluntarily in 2016 as a senior project manager at Nokia/Alcatel Lucent.

I’ve also collaborated with the Biological Earth and Environmental Sciences (BEES) group at UNSW. Together, we developed house dust mite and pest detection systems. Additionally, I contributed to an Android-based app for wildlife species detection as part of the Bushfire Recovery program.

Currently, I work as a senior research associate in collaboration with the Black Dog Institute, focusing on people behavior analysis for suicide detection and prevention which involves pedestrian detection and tracking in various settings, including GAP parks, railway stations, bridges, and shopping centers."

 

 

 

Mobile
+61431499867
  • Journal articles | 2023
    Iyer S; Blair A; White C; Dawes L; Moses D; Sowmya A, 2023, 'Vertebral compression fracture detection using imitation learning, patch based convolutional neural networks and majority voting', Informatics in Medicine Unlocked, 38, http://dx.doi.org/10.1016/j.imu.2023.101238
    Journal articles | 2022
    Iyer S; Blair A; Dawes L; Moses D; White C; Sowmya A, 2022, 'Supervised and semi-supervised 3D organ localisation in CT images combining reinforcement learning with imitation learning', Biomedical Physics and Engineering Express, 8, http://dx.doi.org/10.1088/2057-1976/ac64c5
    Journal articles | 2022
    Iyer SR; Ramchandani S, 2022, 'Increase in the Field of Vision in a Patient with Primary Open-angle Glaucoma and Obstructive Sleep Apnea with Usage of Continuous Positive Airway Pressure', Indian Journal of Sleep Medicine, 17, pp. 50 - 55, http://dx.doi.org/10.5005/jp-journals-10069-0098
    Journal articles | 2020
    Iyer SR; Iyer RR, 2020, 'Obstructive Sleep Apnea and Venous Thrombosis: Clinical Implications', Indian Journal of Sleep Medicine, 15, pp. 51 - 53, http://dx.doi.org/10.5005/jp-journals-10069-0057
    Journal articles | 2019
    Iyer SR; Iyer RR; Venkatraman B, 2019, 'Avoiding Type 2 Diabetes Express Highway from Infancy to Old Age - Focus on Newer Risk Factors.', J Assoc Physicians India, 67, pp. 68 - 72, https://www.ncbi.nlm.nih.gov/pubmed/30935178
    Journal articles | 2018
    Iyer SR; Iyer RR; Parikh V; Ramchandani S, 2018, 'Obstructive Sleep Apnea and Ophthalmic Disorders-Clinical Implications.', J Assoc Physicians India, 66, pp. 55 - 59, https://www.ncbi.nlm.nih.gov/pubmed/30347954
    Journal articles | 2012
    Iyer SR, 2012, 'Sleep and type 2 diabetes mellitus- clinical implications.', J Assoc Physicians India, 60, pp. 42 - 47, https://www.ncbi.nlm.nih.gov/pubmed/23777024
    Journal articles | 1997
    Amin A; Iyer SL; Wilson WH, 1997, 'Recognition of hand-printed Latin characters based on a structural approach with a neural network classifier', Journal of Electronic Imaging, pp. 303 - 310
    Journal articles | 1994
    Iyer S; Amin A, 1994, 'Neural network for the recognition of hand printed Latin characters', Artificial Neural Networks in Engineering - Proceedings (ANNIE'94), 4, pp. 477 - 482
  • Conference Papers | 2023
    Rahman MA; Singh S; Shanmugalingam K; Iyer S; Blair A; Ravindran P; Sowmya A, 2023, 'Attention and Pooling based Sigmoid Colon Segmentation in 3D CT images', in 2023 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2023, pp. 312 - 319, http://dx.doi.org/10.1109/DICTA60407.2023.00050
    Preprints | 2023
    Rahman MA; Singh S; Shanmugalingam K; Iyer S; Blair A; Ravindran P; Sowmya A, 2023, Attention and Pooling based Sigmoid Colon Segmentation in 3D CT images, http://arxiv.org/abs/2309.13872v1
    Conference Papers | 2022
    Iyer S; Blair A; White C; Dawes L; Moses D; Sowmya A, 2022, 'Vertebral Compression Fracture detection using Multiple Instance Learning and Majority Voting', in Proceedings - International Conference on Pattern Recognition, pp. 4630 - 4636, http://dx.doi.org/10.1109/ICPR56361.2022.9956309
    Preprints | 2021
    Iyer S; Blair A; Dawes L; Moses D; White C; Sowmya A, 2021, Organ localisation using supervised and semi supervised approaches combining reinforcement learning with imitation learning, http://dx.doi.org/10.48550/arxiv.2112.03276
    Conference Papers | 2020
    Iyer S; Sowmya A; Blair A; White C; Dawes L; Moses D, 2020, 'A Novel Approach to Vertebral Compression Fracture Detection Using Imitation Learning and Patch Based Convolutional Neural Network', in Proceedings - International Symposium on Biomedical Imaging, pp. 726 - 730, http://dx.doi.org/10.1109/ISBI45749.2020.9098714

Specialising using Deep Learning in the following areas of Computer Vision:

Object detection (especially Pedestrian detection) and tracking. People behaviour analysis using Anomaly detection, Security Surveillance, Defence Applications.

My Research Supervision

I am currently co-supervising 2 PhD students and guiding a Master of Information Science student. Additionally, I assist other students with coding and model building in PyTorch, TensorFlow, and other deep learning platforms.