Koushik Mondal

Employment

• National Institute of Technology Raipur Principal Technical Officer
  2026 - Present

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (25)

• Improved Chemical Reaction Optimization With Fitness-Based Quasi-Reflection Method for Scheduling in Hybrid Cloud-Fog Environment
  IEEE Transactions on Network and Service Management 2024 DOI: 10.1109/TNSM.2023.3299358
  +Save
• Smart Mobile Device to Trace Moving Rogue Objects in Smart City Utilizing Dynamic Source Dynamic Destination Tracking Algorithm
  IETE Journal of Research 2023 DOI: 10.1080/03772063.2023.2173316
  +Save
• Intelligent Salp Swarm Scheduler With Fitness Based Quasi-Reflection Method for Scientific Workflows in Hybrid Cloud-Fog Environment
  IEEE Transactions on Automation Science and Engineering 2023 DOI: 10.1109/TASE.2022.3170549
  +Save
• Machine learning-enabled cognitive approaches for handling IoT-based environmental data
  Cognitive Data Models for Sustainable Environment, Elsevier 2022
  +Save
• Mining challenges in large-scale IoT data framework – a machine learning perspective
  Advanced Data Mining Tools and Methods for Social Computing 2022 DOI: 10.1016/b978-0-32-385708-6.00019-9
  +Save
• Performance Analysis of Software Enabled Accelerator Library for Intel Architecture
  Lecture Notes in Electrical Engineering 2022 DOI: 10.1007/978-981-16-3690-5_40
  +Save
• Application of data driven machine learning approach for modelling of non-linear filtration through granular porous media
  International Journal of Heat and Mass Transfer 2021 DOI: 10.1016/j.ijheatmasstransfer.2021.121650
  +Save
• Different hybrid machine intelligence techniques for handling IoT-based imbalanced data
  CAAI Transactions on Intelligence Technology 2021 DOI: https://doi.org/10.1049/cit2.12032
  +Save
• Internet of Things and data analytics: A current review
  WIREs Data Mining and Knowledge Discovery 2020 DOI: https://doi.org/10.1002/widm.1341
  +Save
• NCS based ultra low power optimized machine learning techniques for image classification
  IEEE Region 10 Symposium TENSYMP 2019 2019 DOI: 10.1109/TENSYMP46218.2019.8971238
  +Save