Anusha Achuthan, Ts. Dr.

  • tiada 


  • Senior Lecturer

    Email :  This email address is being protected from spambots. You need JavaScript enabled to view it.

    Tel : +604 653 4755
    Fax : +604 653 3335
    Room : 606

    School of Computer Sciences, Universiti Sains Malaysia, 11800 USM, Pulau Pinang

    Research Cluster

    Data to Knowledge



  • Research Interest

    Computer Vision, Image Processing, Artificial Intelligence, Machine Learning, Deep Learning, Computational Intelligence

    Specialization

    Computer Vision, Medical Image Analysis, Brain Imaging, Computational Intelligence, Machine Learning


Qualifications

B.Comp Sci (USM), M.Sc (USM), Ph.D (USM) 

 

Interests

Computer Vision, Image Processing, Artificial Intelligence, Machine Learning, Deep Learning, Computational Intelligence

 

Projects

Principal Investigator

  • FRGS - Atlas-guided Interval Type-2 Fuzzy Model for Clinically Relevant Tractography Selection from Diffusion Tensor Imaging
  • RM78,969
  • 2019 - 2022
  • USM Short Term - Knowledge Guided Segmentation of Hippocampus in Brain Magnetic Resonance Images from Public Repositories
  • RM33,000
  • 2017 - 2020 (Completed)

 

Co Investigator

  • CREST - Image Data Analytics For Industry 4.0 
  • RM 206,500
  • 2021 - 2022
  • FRGS- Elucidating The Role of Brain-Derived Neurotrophic Factor (BDNF) Val66Met Gene Polymorphism As a Predictor for the Cognitive Performance of Aging Brain in Response to an 8-week of Wii-Exergames Training
  • RM 186,248
  • 2019 - 2022
  • USM RUI- Enhanced Nature Inspired Based Classification Algorithm for Medical Data Analysis
  • RM 63,770
  • 2018 - 2020
  • Industry Estek Automation-Image Stitching Algorithm For Machine Vision Inspection
  • RM 12. 000
  • 2020 - 2021

 

Publications

[Latest publications: Google Scholar]

Anusha A. and Mandava R. (In Press). Segmentation of hippocampus guided by assembled and weighted coherent point drift registration. Journal of King Saud University-Computer and Information Sciences.

Anusha A., Goh X. Y. and Hazwani A. Y. (2019). USM ExerHunt: A Building Image Recognition-Based Exergame, Malaysian Journal of Medicine and Health Sciences, 15(SUPP9).

Anusha A. and Mandava R. (2018). Prior Integrated Segmentation for Brain Structures: A Review, Malaysian Journal of Medicine and Health Sciences, 14(SUPP1), pp. 190-200.

Noor Diyana O., Nurul Fathin M. S., Anusha A., Halimatul Asma S., Abdul Aziz M. Z. and Ibrahim L. S. (2018). Evaluation of Two Sinogram Interpolation Methods for Metal Artefacts Reduction in Computed Tomography, 2018 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES), Sarawak, pp. 137-139.

Chung S. H., Gan K.H., Mandava R. and Anusha A. (2018). Liver Tumor Segmentation using Triplanar Convolutional Neural Network: A Pilot Study, Lecture Notes in Electrical Engineering, 10th International Conference on Robotics, Vision, Signal Processing and Power Applications.

Anusha A. and Mandava R. (2015). Hippocampus segmentation using locally weighted prior based level set, Proc. of SPIE 9817, Seventh International Conference on Graphic and Image Processing (ICGIP 2015), Singapore, December 9.

Anusha A. Mandava R. and Win Mar S. J. (2013). Hippocampus Localization Guided by Coherent Point Drift Registration Using Assembled Point Set, Hybrid Artificial Intelligent Systems, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8073 LNAI, pp. 92-102.

Anusha A. Mandava R., Ramachandram D., Aziz M. E. and Shuaib I. L. (2010). Wavelet energy-guided level set-based active contour: A segmentation method to segment highly similar regions, Computers in biology and medicine, 40 (7), 608-620.

Anusha A. Mandava R., Ramachandram D., Aziz M. E. and Shuaib I. L. (2009). Wavelet Energy Guided Level Set for Segmenting Highly Similar Regions in Medical Images, 2nd International Conference on Biomedical Engineering and Informatics (BMEI'09), Tianjin, 17-19 October 2009.

Anusha A. Mandava R. and Ramachandram D. (2006). Detection of Secondary Structure in Medical Images using Wavelet and Watershed, The 2nd Distributed Frameworks for Multimedia Applications, Pulau Pinang, May 2006.

 

Supervision

Main Supervisor

Zhang Chaohui, Doctor of Philosophy. 2021. Processing Hospital Data Imbalance and Label Noise Based on Transfer Learning and Federated Learning Theory 

Idrees Fazili. Doctor of Philosophy. 2018. Extraction of Fiber Tract of Interest using Machine Learning Approach 

 

Co Supervisor

Ali Fawzi Mohammed Ali Alkhafaji. Doctor of Philosophy. 2020. Intrusion detection system using hybrid machine learning and deep learning approaches

Muhammad Kabir Abdulkadir. Doctor of Philosophy. 2018. Development of automatic calculation method for estimating CT dose based on size-specific pediatric population 

Nurul Fathin Binti Mohamad Sobri. Master by Research. 2017. Enhancement of Sonogram Interpolation to Improvise the Correction Method for Metal Artefact Reduction in CT Imaging

 

Teaching

  • CCS 513 Computer Vision & Image Processing (Computer Science, USM - Postgraduate)

  • CMT 322 Web Engineering & Technologies (Computer Science, USM - Undergraduate)

  • CPC 151 Fundamentals to Logic and Artificial Intelligence

  • MNucMed Medical Image Analysis (AMDI, USM - Postgraduate)

  • TCC 236/05 Data Structures and Algorithms (Wawasan Open University - Undergraduate)

 

Recognition & Leadership

  • MOOC on Scientific Writing & Communication, 2018 USM Teaching & Learning Symposium, USM, Penang (Silver Award)
  • A Locally Integrated Shape-based Level Set Model for Segmenting Small Subcortical Brain Structures, The 9th International Conference on Digital Image Processing (ICDIP 2017), Hong Kong (Best Oral Presenter)