NCode Sutram for Artificial Intelligence Private Limited. 48/10 - HIG Awas Vikas Colony Yojna No - 2, Jhunsi, Prayagraj PIN - 211019.
S. M. Education Centre (NIELIT Accredited Institute for O Level course) 48/10 - HIG Awas Vikas Colony Yojna No - 2, Jhunsi, Prayagraj PIN - 211019.
Dr. Nayaneesh Kumar Mishra (Ph.D., M.Tech., B.Tech.) Member, IEEE UP Section ; Section Student Representative, IEEE UP Section Director NCode Sutram for Artificial Intelligence Private Limited. 48/10 - HIG Awas Vikas Colony Yojna No - 2, Jhunsi, Prayagraj PIN - 211019. Faculty S. M. Education Centre (NIELIT Accredited Institute for O Level course) 48/10 - HIG Awas Vikas Colony Yojna No - 2, Jhunsi, Prayagraj PIN - 211019. Biography Dr. Nayaneesh Kumar Mishra is the founder and presently the Director of NCode Sutram for Artificial Intelligence Private Limited. The company works in machine learning and deep learning to provide solutions to computer vision and biometrics problems. Dr. Nayaneesh received his Ph.D. from the Indian Institute of Information Technology, Allahabad, in March 2022 under the guidance of Dr. Satish Kumar Singh, Associate Professor, IIIT Allahabad. He completed his M.Tech in Software Engineering from Motilal Nehru National Institute of Technology, Allahabad, in 2013. After doing his B.Tech from United College of Engineering and Research, Allahabad, Dr. Nayaneesh started as a Software Engineer in Zaidsoft Pvt. Ltd. from 2004 to 2005. After that, he shifted to academics and worked as a Lecturer at Ewing Christian Institute of Engineering and Technology (ECIMT) from 2005 to 2007. He joined the teaching job at UPTEC consultancy Ltd. from January 2009 to August 2009 as Systems Executive. From August 2009 to January 2014, he remained associated with Allahabad Institute of Engineering and Technology, Allahabad, as an Assistant Professor. He then joined the Institute of Professional Studies, University of Allahabad, Allahabad in 2014. Dr. Nayaneesh Kumar Mishra executed various projects during his Ph.D. tenure. He was a part of the project titled Image Super-resolution funded by the Defense Institute of Psychological Research (DIPR), Defense Research and Development Organization (DRDO), Government of India in the year 2020. He is continuing with two projects. One project is funded by the Bureau of Police Research & Development(BPRD), Ministry of Home Affairs, Government of India, and the other one is an Indo-German Project funded by the Department of Science and Technology (DST) & German Academic Exchange Service (DAAD).
Nayaneesh Kumar Mishra, Sumit Kumar and Satish Kumar Singh . MmLwThV framework: A masked face periocular recognition system using thermo-visible fusion. Applied Intelligence, pp.1-17. 2022
Nayaneesh Kumar Mishra and Satish Kumar Singh, 2022. Face Recognition Using 3D CNN and Hardmining Loss Function. SN Computer Science, 3(2), pp.1-7.
Sumit Kumar, Satish Kumar Singh, Nayaneesh Kumar Mishra and Dutta, M., 2022. An encoder–decoder based thermo-visible image translation for disguised and undisguised faces. Image and Vision Computing, p.104376.
Nayaneesh Kumar Mishra and Satish Kumar Singh, 2022. Regularized Hardmining loss for face recognition. Image and Vision Computing, 117, p.104343.
Nayaneesh Kumar Mishra, Mainak Dutta and Satish Kumar Singh, 2021. Multiscale parallel deep CNN (mpdCNN) architecture for the real low-resolution face recognition for surveillance. Image and Vision Computing, 115, p.104290.
Praveen Gudivaka, Nayaneesh Kumar Mishra and Anupam Agrawal, 2017, May. GPU accelerated foreground segmentation using codebook model and shadow removal using cuda. In 2017 International Conference on Computing, Communication and Automation (ICCCA) (pp. 765-770). IEEE.
Anupam Agrawal and Nayaneesh Kumar Mishra, 2016, December. Fusion based emotion recognition system. In 2016 International Conference on Computational Science and Computational Intelligence (CSCI) (pp. 727-732). IEEE.
A. Gupta, Nayaneesh Kumar Mishra, A. Tripathi, M. Vardhan, and D.S. Kushwaha, 2015. An improved history-based test prioritization technique technique using code coverage. In Advanced Computer and Communication Engineering Technology (pp. 437-448). Springer, Cham.
A. Gupta, Nayaneesh Kumar Mishra, D.K. Singh, and D.S. Kushwaha. Test Cases Reduction through Prioritization Technique. In International conference on Advance in Computing, Communication and Information Technology,(CCIT-14) (pp. 01-02).