Research

Computer Vision, Signal Processing,  and Natural Language Processing (NLP):

1. Optimal feature extraction from image/video, textual documents, and signals

2. Feature aggregation and selection

3. Use of traditional machine learning (e.g., SVM, XGBoost, etc) and deep learning (e.g., CNN, LSTM, etc.) for the analysis.

Applications:

1. Biomedical image analysis (e.g., Chest X-ray, CT, Tumour, etc.)

2. Biomedical signal processing (e.g., EEG, audio, ECG, etc.)

3. Social computing (e.g., news, tweets, reviews, etc.)

4. Robotics and cyber security (e.g., indoor/outdoor, privacy images, etc.)

5. Remote sensing  (e.g., Sentinel-2A, Landsat-8, etc.)

6. Internet of Things (IoT) image analysis (e.g., person identification-related images, object detection-related images, etc. )

Collaborators and Projects:

1. Dr Jagannath Aryal, Assoc. Professor, The University of Melbourne, Australia (Remote Sensing Image Analysis)

2. Dr Faezeh Marzbanrad, Senior Lecturer, Monash University, Australia (Biomedical research, neonatal health monitoring)

3. Dr Atul Malhotra, Assoc. Professor, Monash University, Australia (Biomedical research, neonatal health monitoring)

4. Dr Herbert Jelinek, Assoc. Professor, University of Khalifa, UAE (Biomedical research, mental disorder monitoring)

5. Dr Guy Dumont, Professor, University of British Colombia, Canada (Biomedical research, neonatal health monitoring)

6. Mr Tej Bahadur Shahi, HDR Scholar, Central Queensland University, Australia (Natural Language Processing)

7. Mr Anish Basnet, Ambition College, Nepal (Natural Language Processing and Computer Vision)