The LNM Institute of Information Technology

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Nitesh Pradhan

Date of joining:



Computer Science Engineering



Dr. Nitesh Pradhan is an Assistant Professor in the department of Computer Science and Engineering at Manipal University Jaipur. He has 8 years of teaching experience. He Qualified GATE exam with All India Rank of 1067. He was the Resource Speaker in Two weeks of training programs on “Python Programming” for Jawahar Navodaya Vidyalaya Teachers (Government funded consultancy). As an academic experience, He was invited as an external in Amity institute of information technology, Amity University Rajasthan. He also Won 1st Prize, In Manipal Navonmesh-Project Exhibition with Project title: Search and Rescue Drone. His research interests include Machine Learning, Deep Learning, Image Processing, Biomedical engineering. He has total 12 publications in reputed journal and approximate 15 conference papers in recognized conferences.

Research Area

Machine Learning, Image Processing

Personal information







Dr. Nitesh Pradhan

Assistant Professor

Computer Science Engineering



Degree/DiplomaInstitute/ OrganizationYearBranch/Specialization
1Ph. D. Doctor of PhilosophyManipal University Jaipur2021Computer Science and Engineering
2M. Tech. Master of TechnologyNIT Bhopal2015Computer Science and Engineering
3B. Tech. Bachelor of TechnologyRajasthan Technical University2012Computer Science and Engineering


Name of OrganizationPost/DesignationDuration FromDuration To
1Manipal University JaipurAssistant Professor20162023


1Gaurav Srivastava, Aninditaa Chauhan, Nitesh Pradhan, Cjt-deo: Condorcet’s jury theorem and differential evolution optimization based ensemble of deep neural networks for pulmonary and colorectal cancer classification, Journal, May 2022
2Gaurav Srivastava, Nitesh Pradhan, Yashwin Saini, Ensemble of deep neural networks based on condorcet’s jury theorem for screening covid-19 and pneumonia from radiograph images, Journal, May 2022
3Nitesh Pradhan, Vijaypal Singh Dhaka, Geeta Rani and Himanshu Chaudhary , Transforming view of medical images using deep learning, Journal, May 2020
4Nitesh Pradhan, Vaibhav Singh, Virat Kumar, Parth Goel and Vijaypal Singh Dhaka, Conversion of two dimensional images into multi-view images of bone using deep learning, Journal, May 2020

Expert lectures

1February2023Expert Lecture on Digital Image Processing FEB 2023

Workshop attended

1Conference - NationalMarch2023Nff: A novel nested feature fusion method for efficient and early detection of colorectal carcinoma
2Conference - NationalJuly2023Image colorization: A convolutional network approach
3Conference - NationalAugust2021Handwritten character recognition using deep neural networks
4Conference - NationalAugust2020A deep learning technique for multi-view prediction of bone
5Conference - NationalFebruary2020Classification algorithms to predict heart diseases—a survey
6Short Term CourseDecember2020Deep Learning A-Z™: Hands-On Artificial Neural Networks
7Short Term CourseJanuary2018Machine Learning A-Z™: Hands-On Python & R In Data Science
8Short Term CourseSeptember2010Deep Neural Networks with PyTorch