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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

  • Cloud Computing

  • Big Data

  • Data Structures

  • Principles of Programming Languages

  • Operating Systems

  • Computer Organization & Architecture

Responsibilities

  • Industry Institute interactions – collaborations with industry partners for industry mentored projects, courses and training programs.

  • HPE – Career Preview Program (CPP) earlier known as Catch Them Young(CTY)

  • Activities at centre for Cloud Computing and Big Data (CCBD), and student training through Hands-on based course design and deliveries, industry interactions etc.

  • Coordination for Exam section, Department Process, Time Table etc.

Research Interest

  • Cloud Computing

  • Big Data frameworks, tools and technologies

  • Systems Design and development, Performance metrics

  • Databases and Storage

  • Distributed Graph databases and analytics

  • Spatial data storage and analytics

Others

  • Narendiran, A., Abhishek, D., Adithya, P., Ray, D., Auradkar, P.K. and Phalachandra, H.L., 2023, April. Integrated log-aware CI/CD pipeline with custom bot for monitoring. In 2023 8th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA) (pp. 257-262). 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 2015 second international conference on advances in computing and communication engineering (pp. 622-627). IEEE.

  • 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 2015 International Conference on Advances in Computing, Communications and Informatics (ICACCI) (pp. 343-348). 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.

  • Auradkar, P.K., Raykar, A., Agarwal, I., Sitaram, D. and Manavalan, R., 2021. Accuracy assessment and performance analysis of raster to vector conversions on LULC data–India. Journal of Engineering, Design and Technology.

  • Auradkar, P., Shekar, K., Shashidhara, R., Srivathsa, M., Bhat, A., Jakati, A., Srivathsa, N., Sitaram, D. and Kalambur, S., 2021, October. Short Paper: Optimized Spatial Join with Grid Sub-Partitioning. In 2021 IEEE International Conference on Cloud Computing in Emerging Markets (CCEM) (pp. 41-45). IEEE.

  • Auradkar, P., Gagan, G.R., Deva, S., Eedula, N., Natarajan, M., Kalambur, S. and Sitaram, D., 2022. Optimized Closest Pair Computation with CPU-GPU Combined Model. In ICT Analysis and Applications: Proceedings of ICT4SD 2022 (pp. 743-755) Singapore: Springer Nature Singapore.

  • Auradkar, P.K. and Tejeswini, R., 2022, August. A QGIS Plugin to monitor proximities in surveillance videos. In 2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT) (pp. 1213-1222). IEEE.

  • Ramesha, V., Shankar, S., Thalanki, S., Kurpad, S. and Auradkar, P., 2023, May. BigHOST: Automatic Grading System for Big Data Assignments. In 2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGridW) (pp. 256-262). IEEE.

  • Abhay, D.A., Akash, S., Ashwin, K., Shenoy, A.G. and Auradkar, P.K., 2023, May. Smart Policing: Using Geospatial Crime Data to Plan Patrol Routes. In 2023 4th International Conference for Emerging Technology (INCET) (pp. 1-7). IEEE.

  • Rashmi, M. S., R. Vismaya, Abhishek Patil, G. Ranjitha Rani, Tushar N. Borkade, and Prafullata Auradkar. "Synthetic to real-world: Insights on microservices-based application benchmarks." In 2024 IEEE International Conference on Information Technology, Electronics and Intelligent Communication Systems (ICITEICS), pp. 1-8. IEEE, 2024.

  • Kaundinya, Shreyas S., S. Shreyas, Joel Macklyn Dsouza, K. Gagan Prashanth, and Prafullata K. Auradkar. "A Hybrid Peer-to-Peer Data Center Resource Management System." In International Conference on Data Science and Network Engineering, pp. 383-395. Singapore: Springer Nature Singapore, 2024.

  • Akhilesh, M. K., Abhinav R. Bharadwaj, Nandan N. Prabhu, H. A. Abhiram, and Prafullata K. Auradkar. "Divide and Compute: Distributed Model Offloading for Computation." In 2025 10th International Conference on Big Data Analytics (ICBDA), pp. 263-268. IEEE, 2025.

  • Balan, A. Sakthe, Adithya Ganesh, Advay Agrawal, and Prafullata K. Auradkar. "Automated Live Migration of Containerised Applications in Multi Cloud with Algorithm for Selection of Cloud Provider." In 2025 10th International Conference on Big Data Analytics (ICBDA), pp. 1-10. IEEE, 2025.

  • Bandi, Shreyas H., Shashank L. Hosamani, Prajwal S. Ksheerasagar, Sourabha Gokavi, Prafullata Auradkar, and Meghana Thiyyakat. "An Efficient Priority-Aware Scheduling Approach for Federated Datacenter Scheduling Frameworks." In 2025 10th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA), pp. 620-626. IEEE, 2025.

  • Prabhu, Aditi, Ambati Revanth Sreeram, and Prafullata Kiran Auradkar. "LLM-Empowered Autonomous Edge AI for Anomaly Detection and Resolution in Distributed Systems." In 2025 10th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA), pp. 698-703. IEEE, 2025.

  • Harish, Suhas Gowda, Shresht Veeraswamy Gunashekar, Sparsh Balnad kattemane, Meghana Thiyyakat, and Prafullata K. Auradkar. "Fedsort: An Optimized Federated Scheduling Strategy for Cloud Workloads with Inter-task Dependencies." In Workshop on Job Scheduling Strategies for Parallel Processing, pp. 224-242. Cham: Springer Nature Switzerland, 2025.

  • Auradkar, Prafullata Kiran, and Subramaniam Kalambur. "Benchmarking gRPC Protocol on Various Virtualization Technologies." ICT Analysis and Applications: Proceedings of ICT4SD 2025, Volume 10 10 (2025): 316.

  • Ankur, D., Mrunalini Thamankar, Nireeksha D. Rai, R. G. Veeresh, and Prafullata Auradkar. "Synthetic Generation of Spatial Polygons On Cloud." In 2024 3rd International Conference for Innovation in Technology (INOCON), pp. 1-6. IEEE, 2024.

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