I’m looking for PhD topic to get started. lm interested in integrating between healthcare domain ( Biometric analysis or disease prediction ) and Machine learning/ deep learning or Natural language processing ( NLP), any suggestion topics or papers are highly appreciated.
Dear Huda da and Haseeb Shinwari
I recommend:
1. Large Bayesian networks for learning and inference.
2. Networks of sum-products.
3. Bayesian Bayesian networks
4. Matrix factorization on a large scale (probabilistic).
5. Deep learning based on Bayesian principles.
6. Deep learning applied to combinatorial problems.
7. Estimating the number of modes of a function that is unknown.
Kind Regards
Qamar Ul Islam
Since you (i) work with prediction of the epileptic seizure based on the analysis of ECG and EEG signals, and (ii) have asked questions about body sensor networks, then you could apply the techniques mentioned by @Qamar_Ul_Islam to solve these issues.
It is also helpful to discuss the topics with your advisors. Since you mentioned a PhD topic, it means you probably worked or published something about these topics.
1. Biomedical Signal Processing
2. Activity Recognition
3. Event Detection
4. Emotion Recognition
5. Speech Signal Analysis
I recommend:
1. 3D medical image analysis for DICOM and PET images, you can build some deep learning model.
2. Microscopic image analysis.
3. You can build some healthcare recommendation system for very common diseases for generic medicine.
For Deep Learning if you have a good GPU system then NLP is an interesting one to go for a research.
If you choose NLP, you can explore in image processing as well
Now, days very interesting areas for Machine learning and Deep learning approaches are good fields.
I would recommend looking into GANs, especially StarGAN: Article StarGAN: Unified Generative Adversarial Networks for Multi-D...
I think this generative technology still holds tremendous potential. It would be suitable for a PhD.
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