Dr. Pawan Kumar Upadhyay

Educational Qualifications

• PhD( Computer Science & Engineering), Jaypee Institute of Information Technology, Noida
• M.Tech(Computer Science & Engineering), Guru Gobind Singh Indraprastha University, Delhi

Biography

Dr. Pawan Kumar Upadhyayis Working as Assistant Professor (Senior Grade) in the Department of Computer Science and Engineering at Jaypee Institute of Information Technology, Noida. Previously, he Served in JSS Academy of Technical Education Noida, Since 2006. He published several research articles in SCI/Scopus journals, international conference, books chapters. He is a professional member of Institute of Research Engineers and Doctors, International Association of Engineers and Association for Computer Machinery research community.

Work Experience - 18+ Years

Interest Area's

• Computer Vision,  Computer Architecture, High Performance Computing, Machine Learning  and Deep Learning  

Publications

International Journals:

• Pawan Kumar Upadhyay, S.Rastogi, K.Vimal Kumar(2022). Coherent Convolution Neural Network based retinal disease detection using Optical Coherence Tomographic image. Journal of King Saud University – Computer and Information Sciences, Elsevier,.34(10)(9688-9695),Q1: Indexing: SCIE, IF:6.9, Cite Score :11.9
• Pawan Kumar Upadhyay, S.Chandra(2019). An Improved Bag of Dense Features for Skin Lesion Recognition. Journal of King Saud University – Computer and Information Sciences,, 34(3)(520-525), Q1: Indexing: SCIE, IF:6.9, Cite Score: 11.9
• Pawan Kumar Upadhyay, S.Chandra(2018). Construction of Adaptive Pulse Coupled Neural Network for Abnormality Detection in Medical Images. International Journal of Applied Artificial Intelligence(AAI), Taylor Fransis,30(2)(477-495),Q2: Indexing: SCIE, IF:2.292, Cite Score: 8.7
• Pawan Kumar Upadhyay, S.Chandra(2018). Novel Approach of Intuitive K-means Clustering for Renal Calculi Detection in Ultrasound Images. International Journal on Electrical Engineering and Informatics, 10(1)(63-68), Q3: Indexing: Scopus, Cite Score: 1.4
• Pawan Kumar Upadhyay, S.Chandra(2018). Salient Bag of Feature for Skin Lesion Recognition. International Journal of performability Engineering, 15(4)(1083-1093), Q3: Indexing: Scopus, Cite Score: 1.4
• T.Y Chandra., K.Kartik., M.Vivek., Pawan Kumar Upadhyay(2015). American Sign Language recognition using HAAR type classifier. International Journal of Knowledge-based and Intelligent Engineering System, 10(1)(126-137), Q3: Indexing: ESCI, Scopus, Cite Score: 1.8
• P.K.Upadhyay, S.Chandra., "An Improved Bag of Dense Features for Skin Lesion  Recognition" published in Journal of King Saud University – Computer and Information Sciences, Elsevier. Available from: doi.org/10.1016/j.jksuci.2019.02.007 [Accessed 25^th February 2019] (indexing: ESCI, Scopus)
• P.K.Upadhyay, S.Chandra., “Construction of Adaptive Pulse Coupled Neural Network for Abnormality Detection in Medical Images” International Journal of Applied Artificial  Intelligence, vol. 32, Issue 5, pp.477-495, 2018 (Indexing: SCIE, Scopus)
• P.K.Upadhyay ., S.Chandra .,“A Novel Approach of Intuitive K-means Clustering for Renal Calculi Detection in Ultrasound Images “,International Journal on Electrical Engineering and Informatics ,Vol.10, No.1, March 2018(Indexing: Scopus)
• P.K.Upadhyay, S.Chandra., “A Salient Bag of Feature for Skin Lesion Recognition”  accepted in International journal of performability Engineering. (Indexing: Scopus)
• T. Y Chandra*., K. Kartik.,  M. Vivek., P.K. Upadhyay “American Sign Language recognition using HAAR type classifier”, International Journal of Knowledge-based and Intelligent Engineering Systems, vol. 19, no. 1, pp. 63-68, 2015(indexing: ESCI, Scopus)

International Conference:

• P.K.Upadhyay., S.Chandra., “An Acceleration of Improved Segmentation Methods for Dermoscopy Images using GPU”, Presented in International Conference of Emerging Trends in Communication, Computing and Electronics, vol. 524, pp.261-269, 2019,LNEE,Springer  (Indexing: Web of Science, Scopus)
• P.K.Upadhyay., S.Chandra., "A Novel Approach of Adaptive Thresholding for Image Segmentation on GPU", Fourth International Conference on Parallel, Distributed and Grid Computing (PDGC),  pp.652-655,  2016. (Indexing: Scopus)
• Hemant K., Hamsavahini, Upadhyay P., and Akhter, S., “Design and implementation of crypto-based inter leaver for viterbi encoder and decoder using turbo codes”, in 7th International Conference on ASIC Proceeding ASICON, art. no. 4415778, pp. 906-909, Oct. 2007. [indexed in Scopus]

Conferences/ Workshops Attended

• Shamim Akhter, Koka Hemant, Pawan Kumar Upadhyay(2007). Design and implementation of crypto-based interleaver for viterbi encoder and decoder using turbo codes. 7th International Conference on ASIC, ASICON’07, IEEE,524, 906-909.
• Pawan Kumar Upadhyay, S.Chandra(2016). A Novel Approach of Adaptive Thresholding for Image Segmentation on GPU. Fourth International Conference on Parallel, Distributed and Grid Computing (PDGC),139,652- 655.
• Pawan Kumar Upadhyay, S.Chandra(2019). An Acceleration of Improved Segmentation Methods for Dermoscopy Images using GPU. International Conference of Emerging Trends in Communication, Computing and Electronic, LNEE, Springer, 524,261-269.
• K. Vimal Kumar, Pawan Kumar Upadhyay, Abheet Gupta, Deepanshu Wadhwa. (2018). Opinion summarization using product feature based review classification. International Conference on Computational Linguistics and Intelligent Text Processing (CICLING), Hanoi, Vietnam,2023
• Eashan Arora, Sakshi Mishra, K. Vimal Kumar, Pawan Kumar Upadhyay. (2020).  Extending bidirectional language model for enhancing the performance  of sentiment analysis.International conference on Cybernetics, Cognition and Machine learning applications (ICCCMLA), Goa,India, LNEE, Springer,643, 142-150
• Vamsi, P. Raghu, Pawan Kumar Upadhyay. (2023).Improving Diabetes Management with Support Vector Machine based Fundus Image Analysis. In 2023 9th International Conference on Signal Processing and Communication (ICSC), pp. 568-574, IEEE
• Vamsi, P. Raghu, Pawan Kumar Upadhyay. (2023).Prediction Model for Precision Agriculture Using Machine Learning. In International Conference on Data Science and Communication, pp. 627-644. Singapore: Springer Nature
• Kishore Kunal,Pawan Kumar Upadhyay, Ramasubramaniam Muthurathnasabapathy, M. J. Xavier . (2022). Mura Defect Detection in Flat Panel Display Using B-Spline Approximation. International Conference on Mining Intelligence and Knowledge Exploration, Lecture Notes in Computer Science book series, LNAI, volume 13119, Springer
• Pawan Kumar Upadhyay, Siddharth Batra, Sunny Dhama. (2022). A Deep Neural Networks-Based Cost-Effective Framework for Diabetic Retinopathy Detection.Data Science for Effective Healthcare Systems (DSEH), Ch.17(13),1st Edition, Chapman and Hall/CRC, Taylor Francis