IIT Indore
My research interests are around the Soft computing, Machine learning frameworks which are able to perform learning by handling real life ambiguous situations. Specifically with artificial neural networks, fuzzy clustering, genetic programming and their applications to bioinformatics, medical diagnosis. The growing births of new intelligent system architectures are often due to the multi strategy learning and adaptation of advanced soft computing techniques in various fields such as pattern recognition, and data mining, particularly to address the issues of Big data for classification, clustering and feature selection. Big data computing needs advanced technologies or methods to solve the issues of computational time to extract valuable information, in a realistic and practical time frame, without compromising the models quality. Therefore, the need for developing intelligent scalable algorithms has been felt, which will be able to perform classification, clustering and feature selection in optimal sense after adjusting their parameters in an adaptive way to accomplish faster solutions to address Big data. Collaboration is enable with Soyabean Research Centre, Indore for testing real life big data.

To make Soft computing frameworks useful in industry, there is a need to realize these frameworks on hardware. Hardware-based Soft computing models are important to industry as they offer low power consumption and small size compared with PC software and they can be embedded in a wide range of systems. Thus, it originated the need to define high-level descriptions of the Soft computing algorithms with industry standards to allow full simulations & fabrication and to produce demonstrators of the technology for industry. That enables to achieve high speed of information processing. Currently, collaborating with CSIR-Central Electronics Engineering Research Institute, Pilani for the problems related to hardware realization of Soft computing models.

Member Professional Bodies:
(i) Life member of Computer Society of India.
(ii) Member of IEEE Computational Intelligence Society.
(iii) Life member of Soft Computing research Society, India. See more

Reviewer for Conferences / Journals:
(i) Reviewed a paper of IEEE Transaction of Knowledge and Data Engineering detailed as (August 2012) TKDE-2012-06-0405, "A Hybrid Method of Nonlinear Data-Driven Feature Transformations to Derive Decision Boundaries in Complex Pattern Classification"
(ii) Member of Program and Review Committee of IITM 2013(Second International Conference on Intelligent Interactive Technologies and Multimedia), IIIT Allahabad, India.
(iii) Sub reviewer of 10th International Symposium on Neural Networks (ISNN 2013) Dalian, China.
(iv) In many international conferences, worked as program committee member and reviewed papers.

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Dr. Aruna Tiwari
Associate Professor
Computer Science and Engineering

artiwari[at]iiti.ac.in
Faculty Profile
Computer Science and Engineering