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Prafullata K Auradkar

Professor
  • Teaching

About

Prafullata Kiran Auradkar (PKA) is a dedicated educator with two decades of teaching experience in engineering education. She is adept at fostering a stimulating learning environment and guiding students towards academic success through holistic learning. She has experience with curriculum development, course design, and innovative methods for practical oriented teaching and effective grading system. This effectively engages students and facilitate comprehensive understanding of complex engineering concepts. She is a passionate advocate for student growth and development, committed to continuously refining teaching strategies.

Additional Information

  • Total experience – 25 years Joined PES in 2011 Had served in K. J. Somaiya College OF Engg. Mumbai, Fr. C. Rodrigues Institute of Technology Navi Mumbai, N. V. Polytechnic College Gulbarga.

Teaching

  • Database Management Systems

  • Data Structures

  • Principles of Programming Languages

  • Operating Systems

  • Computer Organization & Architecture

Responsibilities

  • Curriculum Design

  • Time table

  • Process

  • Faculty Recruitment

  • Class Committee Meetings

Research Interest

  • Distributed Graph databases and analytics

  • Spatial databases and Analytics

  • Time Series Analysis

Others

  • Shabib, A., Narang, A., Niddodi, C.P., Das, M., Pradeep, R., Shenoy, V., Auradkar, P., Vignesh, T.S. and Sitaram, D., 2015, August. Parallelization of searching and mining time series data using Dynamic Time Warping. In Advances in Computing, Communications and Informatics (ICACCI), 2015 International Conference on (pp. 343-348). IEEE.

  • Sitaram, D., Dalwani, A., Narang, A., Das, M. and Auradkar, P., 2015, May. A Measure of Similarity of Time Series Containing Missing Data Using the Mahalanobis Distance. In Advances in Computing and Communication Engineering (ICACCE), 2015 Second International Conference on (pp. 622-627). IEEE.

  • Auradkar, P., Prashanth, T., Aralihalli, S., Kumar, S.P. and Sitaram, D., 2020. Performance tuning analysis of spatial operations on Spatial Hadoop cluster with SSD. Procedia Computer Science, 167, pp.2253-2266.

 Staff Contacts
 Staff Campus Location
 RR Campus

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