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Dr. Surendra Nagar
Assistant Professor
Qualification
Ph.D., M.Tech., B.E.
Email
Surendra.Nagar@nsut.ac.in

 

 

 

Bio-Sketch

Dr. Surendra Nagar is an Assistant Professor in Department of Computer Science and Engineering, Netaji Subhas University of Technology, Main Campus (Formerly known as NSIT), Dwarka, New Delhi. He completed his Ph.D from ABV-Indian Institute of Information Technology and Management (ABV-IIITM), Gwalior in 2022. He received his M. Tech. degree with a specialization in Information Security from ABV-IIITM, Gwalior in 2013, and B. E. degree in Computer Science and Engineering from Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal in 2010. Earlier, he worked as an Assistant Professor at Bennett University, Greater Noida. Dr. Nagar has published several SCI journal papers and book chapters in his area of interest and proficiency in various peer-reviewed international journals of high repute. His research interests include Digital Image Processing, Computer Vision, Pattern Recognition, Recommendation Systems, and Wireless Sensor Networks.

 

Areas of Interest:

Digital Image Processing, Computer Vision, Pattern Recognition, Machine Learning, Deep Learning, Recommendation System, and Wireless Sensor Networks.

Publications in International Journal
  • Surendra Nagar, Ankush Jain, Pramod Kumar Singh, and Ajay Kumar. Mixed-noise robust face super-resolution through residual-learning based error suppressed nearest neighbor representation. Information Sciences, 546:121-145, 2021. Doi: https://doi.org/10.1016/j.ins.2020.08.002
  • Surendra Nagar, Ankush Jain, Pramod Kumar Singh, and Ajay Kumar. Adaptive optimal multi-features learning based representation for face hallucination. Expert Systems with Applications, 190:116141, 2022. Doi: https://doi.org/10.1016/j.eswa.2021.116141
  • Surendra Nagar, Ankush Jain, Pramod Kumar Singh, and Ajay Kumar. Pixel-wise dictionary learning based locality-constrained representation for noise robust face hallucination. Digital Signal Processing, 99:102667, 2020. Doi: https://doi.org/10.1016/j.dsp.2020.102667
  • Surendra Nagar, Ankush Jain, Pramod Kumar Singh, and Ajay Kumar. Structural similarity-based Bi-representation through true noise level for noise-robust face super-resolution. Multimedia Tools and Applications, 2023. Doi: https://doi.org/10.1007/s11042-022-14325-6
  • Ankush Jain, Surendra Nagar, Pramod Kumar Singh, and Joydip Dhar. EMUCF: Enhanced multistage user-based collaborative filtering through non-linear similarity for recommendation systems. Expert Systems with Applications, 161:113724, 2020. Doi: https://doi.org/10.1016/j.eswa.2020.113724
  • Ankush Jain, Surendra Nagar, Pramod Kumar Singh, and Joydip Dhar. A hybrid learning-based genetic and grey-wolf optimizer for global optimization. Soft Computing, 2022. Doi: https://doi.org/10.1007/s00500-022-07604-9
  • Ankush Jain, Surendra Nagar, Pramod Kumar Singh, and Joydip Dhar.  ADC@𝜃r: Adaptive divisional categorization of ratings under rating threshold 𝜃r for similarity computation in recommendation systems. Applied Intelligence, 52:2134–2153, 2022. Doi: https://doi.org/10.1007/s10489-021-02428-w
  • Ravi Shanker, Heet Sankesara, Surendra Nagar, and M Bhattacharya. RESPNet: resource-efficient and structure-preserving network for deformable image registration. The Journal of Supercomputing, 79:4713–4736, 2023. Doi: https://doi.org/10.1007/s11227-022-04840-6
  • Kuldeep Narayan Tripathi, Ashish Mohan Yadav, Surendra Nagar, and S. C. Sharma. ReTrust: reliability and recommendation trust-based scheme for secure data sharing among internet of vehicles (IoV). Wireless Networks, 2023. Doi: https://doi.org/10.1007/s11276-023-03336-2
Books/Book Chapters

 

 

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