About
Dr. Indrajeet Gupta is an associate professor in the School of Computer Science & Engineering Technology at Bennett University, Greater Noida. He holds a Ph.D. in Computer Science & Engineering from IIT(ISM) Dhanbad, where he worked on designing efficient algorithms for cloud task scheduling. With close to 13 years of academic and research experience, he has previously served as professor & dean at Rama University and SR University, contributing significantly to faculty management, technology integration, student development, and institutional collaborations. His academic interests include cloud computing, AWS, DevOps, containers, Docker, and life skills. Dr. Gupta has an extensive research record comprising 14 international journal publications, 3 book chapters, 20 conference papers, 2 patents, and a funded project. He has delivered over 20 invited talks and 15 keynote sessions and conducted multiple workshops. He is also a professional member of IEEE and ACM. Dr. Gupta is committed to mentoring students and advancing impactful research in modern computing technologies.
Employment
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Bennett University Associate Professor2026 - Present
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (17)
- ClearNet: auto-encoder based denoising model for endoscopy images Save
- CloudConsumerism: A Consumer-Centric Ranking Model for Efficient Service Mapping in Cloud Save
- Energy‐Efficient Scientific Workflow Scheduling Algorithm in Cloud Environment Save
- An Energy Efficient Algorithm for Workflow Scheduling in IaaS Cloud Save
- Efficient Workflow Scheduling Algorithm for Cloud Computing System: A Dynamic Priority-Based Approach Save
- A GSA based hybrid algorithm for bi-objective workflow scheduling in cloud computing Save
- A novel cost-efficient approach for deadline-constrained workflow scheduling by dynamic provisioning of resources Save
- Delay-based workflow scheduling for cost optimization in heterogeneous cloud system Save
- A flower pollination algorithm based task scheduling in cloud computing Save
- Transfer time-aware workflow scheduling for multi-cloud environment Save