DP
Dr. Jibitesh Kumar Panda
Manipal Academy of Higher Education, Anurag University, National Institute of Technology Agartala, Gandhi Institute for Education and Technology
About
The research Domain of Dr. Jibitesh are given bellow:
Green Fuel, Fuel Cell, Hydrogen Fuel, Flexible Fuels, Emission Control, Environmental Sustainability.
Employment
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Manipal Academy of Higher Education Assistant Professor2024 - Present
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Anurag University Assistant Professor2020 - 2024
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Gandhi Institute for Education and Technology Assistant Professor2019 - 2020
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Modern Engineering and Management Studies Assistant Professor2014 - 2015
Education
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National Institute of Technology Agartala Ph.D2016 - 2019
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National Institute of Technology Agartala M.Tech2012 - 2014
Projects & Funding
Projects & funding information is unavailable.
Publications (37)
- Hydrogen–ammonia fuel blends for diesel engine performance, emissions, vibration–acoustic dynamics, and GEP optimization Save
- Multimodal emergency vehicle prioritization through vision–audio fusion and attention-enhanced deep learning for smart traffic signal control Save
- Performance, emission, and combustion trade‐off optimization of hydrogen‐diesel dual‐fuel CI engine using response surface methodology Save
- Performance evaluation of novel common grounding boost inverter under standalone and grid-connected modes Save
- Sustainable development of layer-wise graded aluminium composites reinforced with silicon nitride: Microstructural, hardness and drilling performance analysis Save
- Enhancing tensile strength of 3D-printed wood-PLA composites via a particle swarm optimization framework Save
- Machinability and tribological optimization of origami-inspired Almond Shell–PMMA via RSM, ML, and TOPSIS Save
- A Federated Graph–Physics‐Informed Digital Twin Framework for Sustainable Smart Building Energy Management Supporting SDG‐7 and SDG‐11 Save
- Sustainable Prediction of Tool Life in Metal Cutting Processes Using Empirical and Mathematical Modeling Approaches Save
- TOPSO: A Hybrid Swarm Intelligence and Tabu Search Framework for Multi‐Objective Flexible Flow‐Shop Scheduling Save