Ashok Kumar

About

Dr. Ashok Kumar is currently working as Professor in Lovely Professional University, Punjab, India. He is PhD in Computer Science and Engineering from Thapar University, Punjab, India. He has 20+ years of teaching and research experience. He has filed 20 patents, out of that three patents have been granted. He has published a number of research article in international journals and conferences of repute. He has also published several edited books. His current areas of research interest include cloud computing, internet of things, and fog Computing. He has supervised many ME dissertations. Further, he is supervising 4 PhD scholars. His teaching interest includes Python, Haskell, Java, C/C++, Advanced Data structures and Data mining.

Employment

• Chitkara University Assistant Professor
  2018 - 2022
• Chandigarh University Assistant Professor
  2017 - 2018
• Guru Teg Bahadur Khalsa Institute of Engineering and Technology College Assistant Professor
  2015 - 2017
• Thapar Institue of Engineering and Technology Project Fellow
  2012 - 2015

Education

• Thapar University Ph. D.
  2013 - 2017

Projects & Funding

Projects & funding information is unavailable.

Publications (27)

• An autonomic resource management system for energy efficient and quality of service aware resource scheduling in cloud environment
  Concurrency and Computation: Practice and Experience 2023 DOI: 10.1002/cpe.7699
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• Context‐aware application scheduling in fog computing environment
  Concurrency and Computation: Practice and Experience 2023 DOI: 10.1002/cpe.7836
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• CaPTS scheduler: A context‐aware priority tuple scheduling for Fog computing paradigm
  Transactions on Emerging Telecommunications Technologies 2022 DOI: 10.1002/ett.4647
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• Load balancing techniques for fog computing environment: Comparison, taxonomy, open issues, and challenges
  Concurrency and Computation: Practice and Experience 2022 DOI: 10.1002/cpe.7183
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• A Systematic Survey on Fog and IoT Driven Healthcare: Open Challenges and Research Issues
  Electronics 2022 DOI: 10.3390/electronics11172668
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• A systematic review on task scheduling in Fog computing: Taxonomy, tools, challenges, and future directions
  Concurrency and Computation: Practice and Experience 2021 DOI: 10.1002/cpe.6432
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• Storage as a service in Fog computing : A systematic review
  Journal of Systems Architecture 2021 DOI: 10.1016/j.sysarc.2021.102033
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• A survey of multidisciplinary domains contributing to affective computing
  Computer Science Review 2021 DOI: 10.1016/j.cosrev.2021.100399
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• Context-aware scheduling in Fog computing: A survey, taxonomy, challenges and future directions
  Journal of Network and Computer Applications 2021 DOI: 10.1016/j.jnca.2021.103008
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• A novel task scheduling model for fog computing
  Lecture Notes in Networks and Systems 2021 DOI: 10.1007/978-981-15-7345-3_72
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