AS
Ashutosh Kumar Singh
University of Economics and Human Sciences in Warsaw, Indian Institute of Information Technology, National Institute of Technology Kurukshetra
Employment
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University of Economics and Human Sciences in Warsaw Adjunct Professor2023 - Present
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Indian Institute of Information Technology Director2023 - Present
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Frankfurt Institute for Advanced Studies, Goethe University, Germany Visiting Scientist2022 - 2022
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University of Tokyo Japan Society for the Promotion of Science (JSPS) fellowship2019 - 2019
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National Institute of Technology Kurukshetra Professor2013 - Present
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Curtin University Sarawak Associate Professor2007 - 2013
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University Tun Abdul Razak Sr. Lecturer and Deputy Dean2005 - 2007
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University of Bristol Post Doctoral RA2004 - 2005
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Multimedia University Lecturer2002 - 2004
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National Institute of Science and Technology Sr. Lecturer2000 - 2002
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Banaras Hindu University Research Scholar1997 - 2000
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (338)
- A multi-agent deep reinforcement learning approach for optimal resource management in serverless computing Save
- An intelligent virtual machine allocation optimization model for energy-efficient and reliable cloud environment Save
- Exploring the Shift from 3D Printing to 4D Printing: A Review Save
- Secure Resource Management in Cloud Computing: Challenges, Strategies and Meta-Analysis Save
- A Global Medical Data Security and Privacy Preserving Standards Identification Framework for Electronic Healthcare Consumers Save
- A Latency Aware and Dynamic Caching Model for Heterogeneous Datalake Environments Save
- A Multiple Controlled Toffoli Driven Adaptive Quantum Neural Network Model for Dynamic Workload Prediction in Cloud Environments Save
- A comprehensive survey on sustainable resource management in cloud computing environments Save
- A high up-time and security centered resource provisioning model towards sustainable cloud service management Save
- A secure paillier cryptosystem based privacy-preserving data aggregation and query processing models for smart grid Save