AM
Abhijeet Mahapatra
Sikkim Manipal Institute of Technology, Veer Surendra Sai University of Technology, Gandhi Institute of Engineering and Technology
Research areas: Computer Science · Computer Networks and Communications · IoT and Edge/Fog Computing · Cloud Computing and Resource Management · Energy Efficiency in Computing
Employment
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Sikkim Manipal Institute of Technology Assistant Professor- II2024 - 2025
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Veer Surendra Sai University of Technology Asst. Prof. (Contractual)2019 - 2024
Education
- 2021 - 2025
- 2017 - 2019
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Gandhi Institute of Engineering and Technology B. Tech.
Projects & Funding
Projects & funding information is unavailable.
Publications (13)
- Time-and-Traffic-aware collaborative task offloading with service caching-replacement in cloud-assisted mobile edge computing Save
- DELTa: Dynamic Energy-and-Latency-Aware Task Scheduling for Fog-Cloud Paradigm Save
- Deep Learning-Centric Task Offloading in IoT-Fog-Cloud Continuum: A State-of-the-Art Review, Open Research Issues, and Future Directions Save
- Optimizing Task Scheduling and Resource Utilization in Cloud environment: A novel approach combining Pattern Search with Artificial Rabbit Optimization Save
- An Energy-Aware Task Offloading and Load Balancing for Latency-Sensitive IoT Applications in the Fog-Cloud Continuum Save
- Intelligent Caching and Offloading Technique for Dew-assisted Mobile IoTs: A Distributed Deep Reinforcement Learning Framework Save
- Next Generation Task Offloading Techniques in Evolving Computing Paradigms: Comparative Analysis, Current Challenges, and Future Research Perspectives Save
- Quantum ML-Based Cooperative Task Orchestration in Dew-Assisted IoT Framework Save
- Blockchain in Evolving Computing Paradigms: A Beginner's Guide for Review and Future Directions Save
- EFog-IoT: Harnessing Power Consumption in Fog-Assisted of Things Save
- Latency-aware Internet of Things Scheduling in Heterogeneous Fog-Cloud Paradigm Save
- Identification, classification & grading of fruits using machine learning & computer intelligence: a review Save
- Classification & grading of tomatoes using image processing techniques Save