Mr. Neerav Sharma

Research Associate
Indian Institute of Technology Roorkee, Roorkee, India

Highest Degree
PostDoc. in Agricultural Development and Policy from Purdue University, West Lafayette, USA

My URL
https://livedna.org/91.33286

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Biography

I am a Research Associate at IIT Roorkee. I did my postdoc from Purdue University, USA after completing PhD from IIT Roorkee in the field of Geomatics and Transportation Engineering. I hold command in Sensors, AI, IoT, ADAS, ITS, GIS and Electronic technologies with a high research and analytical aptitude.

Area of Interest:

Engineering
Advanced Driver Assistance Systems
GIS Technology
Internet of Things
Machine Learning

Selected Publications

  1. Sharma N. and R.D. Garg, 2023. Advanced transportation safety using real-time GIS-based alarming system for animal-prone zones and pothole areas. J. Transp. Eng., Vol. 149. 10.1061/JTEPBS.TEENG-7567.
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  2. Sharma, N. and R.D. Garg, 2022. Real-time computer vision for transportation safety using deep learning and IoT. 2022 International Conference on Engineering and Emerging Technologies (ICEET), Oct. 27-28, 2022, Kuala Lumpur, Malaysia, IEEE Xplore, pp: 1-5.
    CrossRef  |  Direct Link  |  

  3. Upadhyay, P.K., N. Sharma, S. Sharma and Ravi Sharma 2021. Photo and Thermoluminescence of Eu Doped Zno Nanophosphors. J. Mater. Sci.: Mater. Electron. 32: 17080-17093.
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  4. Sharma, N. and R.D. Garg, 2021. Effective utilization of a low-cost solution for remote sensing of vehicles and pedestrians. 2021 IEEE International India Geoscience and Remote Sensing Symposium, 6-10 December, 2021, IEEE, Manhattan, New York, pp: 312-315.
    CrossRef  |  Direct Link  |  

  5. Sharma, N. and R.D. Garg, 2021. Cost reduction for advanced driver assistance systems through hardware downscaling and deep learning. Syst. Eng., 10.1002/sys.21606.
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  6. Sharma, N., S. Sharma and R. Sharma, 2020. Dielectric and optical studies of cdse nanoparticles: green synthesis. J. Mater. Sci.: Mater. Electron., 31: 16592-16599.
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  7. Sharma, K. and N. Sharma, 2020. Environmental management through the assessment of impact of urban growth through remote sensing techniques. J. Appl. Sci., 20: 97-103.
    CrossRef  |  Direct Link  |  

  8. Sharma, N., P.P. Dash and P. Saxena, 2018. GCD based blind super-resolution for remote sensing applications. Proceedings of the 2nd International Conference on Power, Energy and Environment: Towards Smart Technology, June 1-2, 2018, Shillong, India, pp: 1-6.
    CrossRef  |  
Member since May, 2020