DeepSci 2017 Workshop: Deep Learning for Healthcare and Financial Data Analytics
About DeepSci 2017 Workshop
As most of you are aware deep learning is invading almost all arenas of science and technology. Out of them, healthcare happens to be the foremost. Recent developments in the field of healthcare utilizing the tools and techniques from deep learning formalism is creating a paradigm shift. Global giants such as Google and Microsoft are investing heavily in this direction.
Apart from the possibility of high quality publications, the research in this area will also open up excellent job opportunities for undergraduate and graduate students in various streams of engineering and sciences.
Yet another are where the efficacy of deep learning is beginning to get revealed is financial engineering. Compared to the classical methods used in financial engineering, tools of deep learning are extremely efficient to analyse and predict market dynamics. The research in market economy using the techniques of deep learning will result in patentable algorithms and also in start-ups with high potential for success.
The systems such as financial markets and human body which act as the source of data consist of many interacting subsystems. The traditional reductionist approach of analysing the individual subsystems is insufficient. A novel branch of physics termed Complex system theory is essential for the analysis of such large spatio-temporal data.
One of the most important open problems that grabs the attention of data scientists is the integration of measures derived from complex system theory with deep learning techniques. It will be highly revealing to view the deep learning formalism from a complex system perspective and also to effectively employ the complex measures as learning features for a deep learning network.
Considering the immediate need and the infinite potential of exploring the data from healthcare and financial sectors, Centre for Computational Engineering and Networking (CEN), Amrita School of Engineering, Amrita University Coimbatore has decided to conduct a one day work shop on “Deep learning for complex systems with special focus on healthcare & finance”.
Venue: CEN, Amrita School of Engineering Coimbatore, Amrita University
Registration is closed
Why we conduct workshop frequently? Advancement in technologies make many conventional engineering syllabus obselete
Data Acquisition System Available at CEN
Time: 09.00 am to 06.00 pm (please find below the detailed schedule)
09.00 -10.00 - “The inexplicable efficacy of deep learning” - Dr. K. P. Soman
10:00 -10:30 - “How to analyse data from complex systems” - Dr. Gopalakrishnan E. A.
10:30 - 10:45 - Tea break
10:45 - 11.15 - “Deep learning for medical image processing” - Mrs. Sowmya V.
11:45 - 12:15 - “Deep learning to detect sleep apnea: A case study”
12:15 - 12:45 - “Deep learning for ECG analysis”
12:45 - 14:00 - Lunch
14:00 - 15:30 - “Deep learning hands-on” - Mr. Vinaykumar R
15:30 - 16:00 - Tea break
16:00 - 16:30 - “Developing new low-cost devices for Bio-medical Signal Acquistion” by Mr. K. Guruvayurappan and Mr. Sajith Variyar V. V.
16:30 - 17:00 - “Road ahead: Possible collaborative projects & papers” - Panel discussion
17:00 - 18:00 - Concluding remarks and feedback from participants
Books published from CEN on Signal processing and Machine learning
1. Dr. K.P. Soman, Prabaharan Poornachandran, Sachin Kumar S and Neethu Mohan, "Convex Optimization based Signal Processing for IOT." [Upcoming Book] 2. Dr. K.P. Soman and Dr. Ramachandran K.I, "Insight into Wavelets From Theory to Practice.", Prentice-Hall India 2004. 3. Dr. K.P. Soman, Shyam Diwakar, Ajay V., "Insight into Data Mining From Theory to Practice.", Prentice-Hall India, 2006. 4. Dr. K.P. Soman, Ajay. V, Loganathan R., "Machine Learning with SVM and other Kernel Methods.",Prentice-Hall India, 2009. 5. Dr. K.P.Soman, and Ramanthan, "Digital signal and Image Processing-The Sparse Way." Elsevier Publications, 2012. 6. Dr. Deepa G., Dr. Krishnan Namboodiri, "Bioinformatics: Sequential and Structural Analysis.", Narosa Publications. 7. Dr. K.I Ramachandran., Dr. Deepa, Dr. Krishnan Namboori, "Computational Chemistry and Molecular Modelling." -Springer international. 8. "Fractals for Everyone." [Online version](http://cen.amritafoss.org/downloads/) Manu Unni, Praveen Krishnan, Dr. K. P. Soman.