Dr. Mayank Patel

Designation: Assistant Professor

Academic Area: Computer Science

Brief Profile:

Mayank Patel is a Ph.D. Scholar & member of Distributed Databases Research Group at DA-IICT, Gandhinagar, India. He has completed his M.Tech from Gujarat University. His research interests include Distributed Databases, Raw Data Processing, Query Optimization, and Resource Optimization.


  • Ph.D. Research Topic: Resource Utilization for Raw Data Query Processing, 2023, DA-IICT.
  • M.Tech. in Web Technologies, 2014, Gujarat University.
  • B.E. in Computer Engineering, 2011, S. P. B. Patel Engineering College

  • 1.5 Years of experience in the industry building website and softwares for national & international clients.
  • 7+ Year, worked as a member of Distributed Databases Research Group and Teaching Assistant at DA-IICT.

  • IEEE Member since 2018

  • Best Paper Award – FTNCT, 2021.
  • Travel Grant –  CCGrid, 2023.
  • Travel Grant –  R10-HTC, 2022.
  • Travel Grant – COMSNETS, 2019.

  • Raw Data Query Processing,
  • Distributed Databases,
  • Resource Monitoring,
  • Optimizing Required Resources,
  • Maximizing Utilization of Existing Resources.

  • Resource Utilization for Raw Data Query Processing: Optimizing Required Resources & Maximizing Utilization of Existing Resources

Book Chapters

  • M. Patel, N. Yadav, and M. Bhise, “Workload aware Cost-based Partial loading of Raw data for Limited Storage Resources,” Futuristic Trends in Networks and Computing Technologies, Lecture Notes in Electrical Engineering 936, (Chapter 74), Springer Nature, 2022, doi:10.1007/978-981-19-5037-7_74.

 

Journal Papers

  • M. Patel and M. Bhise, “RAW-HF: Resource Availability & Workload aware Hybrid Framework for Raw Data Query Processing”, 2023. [In preparation]
  • M. Patel and M. Bhise, “Resource Utilization for Raw Data Query Processing: A Survey”, Cluster Computing, Springer, 2023. [Under Review]
  • IV. M. Patel and M. Bhise, “Resource Monitoring Framework for Big Raw Data Processing,” International Journal of Big Data Intelligence, volume 9(1), Inderscience, 2023. (In Press)

 

Peer-Reviewed Conference Proceedings

  • V. M. Patel and M. Bhise, “MUAR: Maximizing Utilization of Available Resources for Query Processing“, 2023. [Core 2021, Ranking A, Accepted]
  • M. Patel and M. Bhise, “Query Complexity Based Optimal Processing of Raw Data,” 10th Region 10 Humanitarian Technology Conference (R10-HTC), IEEE, 2022, doi: 10.1109/R10-HTC54060.2022.9929945.
  • M. Patel and M. Bhise, “Raw Data Processing Framework for IoT,” 11th International Conference on Communication Systems & Networks (COMSNETS), IEEE, 2019.
  • U. Vyas, P. Panchal, M. Patel, and M. Bhise, “STSDB: Spatio-Temporal Sensor Database for Smart City Query Processing,” In Proceedings of the 20th International Conference on Distributed Computing and Networking (ICDCN), ACM, New York, NY, USA, 2019.