Aswani Kumar Cherukuri

Work place: School of Information Technology & Engineering, VIT University Vellore-632014, Tamil Nadu, INDIA



Research Interests: Information Security, Data Mining, Data Structures and Algorithms, Analysis of Algorithms, Formal Methods, Mathematical Analysis, Formal Semantics, Formal Languages


Dr. Ch. Aswani Kumar is Professor & Dean of School of Information Technology and Engineering, VIT University, Vellore, India. Dr. Ch. Aswani Kumar holds a PhD degree in Computer Science from VIT University, India.  He also possesses Bachelor's and Master's Degrees in Computer Science from Nagarjuna University, India.

His current research interests are Data Mining, Formal Concept Analysis, Information Security, and Machine Intelligence. Dr. Aswani Kumar has published 60 refereed research papers so far in various national, international journals and conferences.  He received Young Scientist Fellowship from Tamil Nadu State Council for Science and Technology for his research at Tata Institute of Fundamental Research (TIFR), Bombay during the year 2004. He received The New Indian Express (India's leading English daily newspaper) award for inspiring young teachers 40 under forty.

Author Articles
Verification of Cloud Based Information Integration Architecture using Colored Petri Nets

By Murale Narayanan Aswani Kumar Cherukuri

DOI:, Pub. Date: 8 Feb. 2018

Healthcare applications, such as patient record, patient – doctor mapping service, various disease symptoms etc. The major challenges is processing and integrating the real time data. Following-up with analyzing the data would involve moving the data in Data Lake to a Cloud to known about the status of the patient and for tracking purpose. In this research, we recommend a cloud based information integration framework using Data Lake in Cloud. This work extends the information integration architecture by designing with Data Lake in Cloud, using mathematical model (Petri Net) to verify architecture. This approach has the ability to scale up and down in real time data, and leading to efficient way of using data resources in the Cloud.

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