Mr. Himanshu Sharma

• M.Tech. in Advanced Electronic Systems, 2015, From AcSIR, New Delhi, India
• B.Tech. in Computer Science and Engineering, 2013, From I.E.R.T, Prayagraj, Uttar Pradesh, India

• Machine Learning & Pattern Recognition
• Computer Vision Algorithms
• Deep Learning Architecture for Computer Vision Applications
• Resource-constrained AI
• Embedded Systems

Selected Publications:

1. Karunakaran, Varsha, Manu M. Joseph, Induprabha Yadev, Himanshu Sharma, Kottarathil Shamna, Sumeet Saurav, Remanan Pushpa Sreejith et al. “A non-invasive ultrasensitive diagnostic approach for COVID-19 infection using salivary label-free SERS fingerprinting and artificial intelligence.” Journal of Photochemistry and Photobiology B: Biology 234 (2022): 112545.
2. Pathak, Rachna, Anil Saini, Arnav Wadhwa, Himanshu Sharma, and Dhiraj Sangwan. “An object detection approach for detecting damages in heritage sites using 3-D point clouds and 2-D visual data.” Journal of Cultural Heritage 48 (2021): 74-82.
3. Koundinya, Sriharsha, Himanshu Sharma, Manoj Sharma, Avinash Upadhyay, Raunak Manekar, Rudrabha Mukhopadhyay, Abhijit Karmakar, and Santanu Chaudhury. “2D-3D CNN based architectures for spectral reconstruction from RGB images.” In Proceedings of the IEEE conference on computer vision and pattern recognition workshops, pp. 844-851. 2018.
4. Himanshu Sharma, Sumeet Saurav, Sanjay Singh, Anil K. Saini, and Ravi Saini. “Analyzing impact of image scaling algorithms on viola-jones face detection framework.” In 2015 International Conference on Advances in Computing, Communications and Informatics (ICACCI), pp. 1715-1718. IEEE, 2015.

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