Dr Amar Singh | Plant Disease | Best Researcher Award
Professor Amar Singh, Lovely Professional University, India
Professor Amar Singh is a distinguished academic affiliated with Lovely Professional University in India. He is recognized for his expertise and contributions to [specific field/department]. With a strong educational background and extensive research experience, Professor Singh has made significant strides in [mention specific areas of research or teaching]. He is committed to fostering innovation and excellence in academia, contributing to the university’s mission of providing high-quality education and research opportunities.
Profile: Plant Disease
Education
- Ph.D. in Computer Science & Engineering from IKG Punjab Technical University, Jalandhar (2018).
- M.Tech. in Information Technology from M. M. Engineering College, Mullana (2009).
- M.Sc. in Computer Science (Software) from Kurukshetra University, Kurukshetra (2007).
- Bachelor of Computer Applications (B.C.A.) from Kurukshetra University, Kurukshetra (2004).
Professional experience
Best Paper Award for the paper titled Plant Image Classification: State of Art”, International Conference on innovation, Research and challenges in Emerging Technologies, Panipat Institute of Engineering & Technology, Panipat, 19 November – 20 November 2021.
Publication and Top Notes
- Ghosh, Sukanta, Amar Singh, and Shakti Kumar. “HPB3C-3PG algorithm: A new hybrid global optimization algorithm and its application to plant classification.” Ecological Informatics, Elsevier, 31 March, 2024, p. 102581.
- Amar Singh, Shakti Kumar, Ajay Singh, Rahul Sharma, “Pollination Based Optimization: A New Global Optimization Algorithm and its Application to Paddy Disease Detection”, International Journal of Innovation in Multidisciplinary Scientific Research (IJIMSR), Vol. 1, Issue 1, 20 September 2023, pp. 52-65.
- Sartaj Singh, Amar Singh, “An Enhanced Authenticated Key Agreement Scheme for Cloud-Based IoT in Wireless Sensor Networks”, International Journal of Electrical and Electronics Research, Volume 11, Issue 4, 20 November 2023, pp. 1030-1038
- Sukanta Ghosh, Amar Singh, Shakti Kumar, “BBBC-U-Net: Optimizing U-Net for automated plant phenotyping using big bang big crunch global optimization algorithm”, International Journal of Information Technology, Springer, Vol. 15, 13 September 2023, pp. 4375-4387.
- Kanish Bansal, Amar Singh, “Development of VGG-16 transfer learning framework for geographical landmark recognition”, Intelligent Decision Technologies, Vol. 17, No. 3, July 2023, pp. 799-810.
- Kanishk Bansal, Amar Singh, “A new parallel bat colony optimization algorithm and its application for evolving CNN architectures with artificial selection”, Soft Computing, Springer, 6 July 2023, https://doi.org/10.1007/s00500-023-08846-x
- Rahul Sharma, Amar singh, “VGG16 feature selection using PCA-big bang big algorithm“, Journal of Intelligent & Fuzzy Systems, vol. 45, no. 1, 2 July 2023, pp. 1437-1451.
- Sukanta Ghosh, Amar Singh, Shakti Kumar, “PB3C-CNN: An integrated Parallel Big Bang-Big Crunch and CNN based approach for plant leaf classification”, INTELIGENCIA ARTIFICIAL, Vol. 26, Issue 72, June 2023, pp. 15-29.
- Gaurav Kumar, Amar Singh, Ashok Kumar, “Ensemble Deep Learning Network Model for Dropout Prediction in MOOCs”, International Journal of Electrical and Computer Engineering Systems, Vol. 14, Issue 2, January 2023, pp. 187 – 196