Dr. A. Shahina

Professor

Dr. A. Shahina M.Tech., Ph.D.

Email: shahinaa@ssn.edu.in

Extn: 375

Shahina’s mission is to create artificial intelligence based systems that better the lives of people and society. Towards this, she works on applying machine learning, deep learning and reinforcement learning algorithms in the fields of healthcare, security and surveillance.

Education and Experience:

Shahina obtained her PhD in 2008 from the department of Computer Science and Engineering of IIT-Madras, India. She also has an M.Tech from IIT-Madras. She has 21 years of teaching and research experience, which began with 5 exclusive research years working as a project officer for a DRDO-sponsored project on speech processing at IIT-Madras.

Recent Research Interests:

Shahina’s research group focuses on harnessing the potential of artificial intelligence to amplify human intelligence.  In order to understand human cells and diseases for developing better medicines, classifying proteins which are the chief actors within cells is essential. They develop models capable of classifying mixed patterns of proteins from microscope images using CNN architectures. Accurately diagnosing pneumonia from chest radiographs, as observed by the opacity of the affected region, could be confused with an opacity due to a number of other conditions in the lungs such as fluid overload (pulmonary edema), bleeding, volume loss (atelectasis or collapse), lung cancer, or post-radiation or surgical changes. They build deep neural networks to classify and predict the region of opacity due to pneumonia. With the increasing prevalence of autonomous vehicles, there are shortcomings such as lack of training data or safe environments to collect data. They create an autonomous drone navigation using deep reinforcement learning on a double deep Q network with sensor and camera data from virtual environments. They also actively work on topics related to speech processing.

Some Recent Research Papers:

S. Uma Maheswari, A. Shahina, A. Nayeemulla Khan, “Lombard Speech Compensation Techniques: A Review”, Artificial Intelligence Review (under second review)

S. Uma Maheswari, A.Shahina, A. Nayeemulla Khan, “Lombard Speech Effect on Speech Systems”, Archives of Acoustics (under second revision)

N. Radha, A. Shahina, P. Prabha, B.T. Preethi Sri, A. Nayeemulla Khan, “An Analysis of The Effect of Combining Standard and Alternate Sensor Signals on Recognition of Syllabic Units for Multimodal Speech Recognition”, Pattern Recognition Letters, 115(1), 39-49, Nov 2018.

Abhishek P, Manav M and Shahina A,“G-EyeNet: A Convolutional Autoencoding Classifier Framework for the Detection of Glaucoma from Retinal Fundus Images”, proc. IEEE Intl. Conf. onImage processing(ICIP), Athens, Greece, Oct.2018

J. V.  Thomas Abraham, A. Shahina, A. Nayeemulla Khan, “Enhancing Noisy Speech using WEMD”, International Journal of Recent Technology and Engineering, April 2019 (Scopus indexed)

Teaching Interests:

Shahina teaches artificial intelligence, machine learning, deep learning and computational intelligence courses for undergraduate and graduate students.

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