Dr. Kumar Gaurav is a dedicated academician and researcher with a Ph.D. in Computer Science and Engineering from NIT Jamshedpur and M.Tech from NIT Patna. His expertise lies in reliability analysis of safety-critical systems, with a special focus on fault monitoring in nuclear power plants. His research contributions include developing an Intelligent Fault Monitoring Framework, integrating Fuzzy Fault Tree Analysis, and utilizing Neutrosophic logic with Petri Nets to enhance the reliability of safety-critical systems.
Dr. Gaurav brings extensive teaching experience, having guided students in Database Management Systems, Software Engineering, Software Quality Assurance and Software Project Management. His commitment to academic excellence and research-driven teaching fosters an innovative learning environment for students.
EDUCATION
Ph.D - NIT Jamshedpur
M.Tech - NIT Patna
B.Tech - DCE
All the three degrees are from the department of Computer Science and Engineering of the respective public colleges/universities.
RESEARCH INTERESTS
Database Management Systems, Design and Analysis of Algorithms, Software Engineering and Reliability Engineering.
FUTURE PROJECTS
AI-Driven Reliability and Quality Engineering for Safety-Critical Systems
Application of image processing in agriculture Dipra Mitra, Kumar Gaurav, Pallab Banerjee, Sudeshna Sani Geometrical Enhancements Based on Data Driven Design Decisions, 2025 Deep learning techniques have been successfully used in machine vision, and their improved performance has been extended to agricultural image processing by integrating them with more conventional techniques [1]. Agricultural automation has been transformed by semantic segmentation techniques, which are now widely used for identifying pests and diseases, analysing crop cover and kind, and other tasks in order to semantically segment agricultural photos using various segmentation concepts.
Predictive Modeling and Dynamic Analysis of Price Trends in eCommerce using ML Technique Pallab Banerjee, Vishal Prasad, Kanika Thakur, Dipra Mitra, Kumar Gaurav, Soumen Kanrar Proceedings of Nkcon 2024 3rd Edition of IEEE Nkss S Flagship International Conference Digital Transformation Unleashing the Power of Information, 2024 In the ever-evolving landscape of eCommerce, staying ahead of pricing trends is paramount for both consumers and sellers. This project presents an advanced Ecommerce Product Price Tracker with Price Prediction capabilities, aimed at empowering users with foresight into future pricing dynamics. Supervised Machine Learning algorithms, encompassing regression and time series analysis, form the backbone of predictive modeling, enabling accurate forecasts of forthcoming price movements. The resultant tool not only provides real-time tracking of current product prices but also furnishes predictive analytics, empowering users with actionable insights. By bridging the gap between data-driven insights and eCommerce dynamics, this project contributes to fostering efficiency and efficacy in the vibrant eCommerce ecosystem.
A Proposed Method to Translate Code Blended Web based Text in English Language 15th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2024, 2024
Design and Implementation of Real Time Image Retrieval System for De-Noising Space Images in Chandrayaan 3 Lunar Mission Using Autoencoders Prince Shubham, Pallab Banerjee, Kanika Thakur, Biresh Kumar, Dipta Mitra, Kumar Gaurav Proceedings of International Conference on Contemporary Computing and Informatics Ic3i 2024, 2024 In the context of the Chandrayaan 3 Lunar Mission, this research paper introduces a real-time image retrieval and denoising system powered by autoencoders, designed to tackle the challenge of noisy space imagery. Leveraging advanced deep learning techniques, our system employs autoencoders to extract essential features from the noisy lunar images and subsequently retrieves and integrates similar, noise-free reference images from a comprehensive database. By doing so, it achieves real-time denoising, ensuring that the mission’s acquired lunar images are of high quality, thus facilitating more accurate scientific analysis. The paper details the architecture of the autoencoder-based denoising system, its training process using a meticulously curated lunar image dataset, and its seamless integration into the mission’s image processing pipeline. Experimental results underscore the system’s remarkable noise reduction capabilities, thereby playing a pivotal role in enhancing the Chandrayaan 3 mission’s scientific contributions, ultimately advancing our understanding of the lunar environment and bolstering the success of lunar exploration endeavours.
Implementing Newly Proposed Dynamic Tree Structure: Development, Integration, and Optimization Pallab Banerjee, Sweety Kumari, Biresh Kumar, Kanika Thakur, Kumar Gaurav, Purushottam Kumar IEEE International Conference on Signal Processing and Advance Research in Computing Sparc 2024, 2024 An innovative data structure called a “dynamic tree” has important uses in algorithmic time complexity optimization. It creates well-organized trees by modifying the properties of several single-node trees, therefore preserving the forest structure. This structure is essential to improving the effectiveness of many algorithms. In this work, I particularly address the “Maximum Flow method,” a crucial subtopic in the larger field of dynamic trees. One basic method for solving network flow issues is the Maximum Flow Algorithm, but it frequently runs into issues with time complexity. My research attempts to overcome these obstacles by using dynamic trees to enhance the efficiency of the algorithm. This work reduces the time complexity of network flow problems, leading to more effective solutions. The findings have potential implications in a variety of computing and real-world scenarios.
Dependability Analysis of a System Using State-Space Modeling Techniques: A Systematic Review Kumar Gaurav, Vinay Kumar, Binod Kumar Singh IEEE Transactions on Reliability, 2023 There has been considerable development in the domain of dependability engineering and analysis in recent decades. The quality guidelines related to dependability attributes such as safety, reliability, maintainability, and availability have evolved into recommending progressively stricter prerequisites and requirements related to the quality of products and services. Owing to this development, the aspects, processes, and practices that were either simply approximated or disregarded until now must be considered in quantitative evaluation to offer satisfactory estimates related to dependability. With explicit regard to dependability, it implies that obstructions and prerequisite conditions cannot be ignored. In this manner, so as to help such a pattern, explicit procedures and apparatuses are required to satisfactorily manage dynamic viewpoints in dependability assessment. State-space modeling techniques are quite productive when attempts are made to illustrate the dynamic behavior of a system. They provide support for critical analysis to deliver being instrumental in a direct mapping with any mathematical modeling tool. The objective of this article is to offer a systematic review of various modeling formalisms with insights into state-space modeling techniques for dependability analysis. It also provides a comparison among the various modeling formalisms, and therefore, can be used as a reference for practitioners, developers, and researchers in state-space dependability modeling and evaluation.
Application of image processing in agriculture D Mitra, K Gaurav, P Banerjee, S Sani Geometrical Enhancements Based on Data-Driven Design Decisions, 112-134 , 2025 2025
Enhanced Fuzzy Fault Tree with OWA Operator with 2-Level Distributive Function for analyzing Reliability in NPP with a Case Study K Gaurav, V Kumar, BK Singh Journal of Nuclear Science and Technology , 2025 2025
Predictive Modeling and Dynamic Analysis of Price Trends in eCommerce using ML Technique P Banerjee, V Prasad, K Thakur, D Mitra, K Gaurav, S Kanrar 2024 IEEE North Karnataka Subsection Flagship International Conference … , 2024 2024 Citations: 2
Design and Implementation of Real Time Image Retrieval System for De-Noising Space Images in Chandrayaan 3 Lunar Mission Using Autoencoders P Shubham, P Banerjee, K Thakur, B Kumar, D Mitra, K Gaurav 2024 7th International Conference on Contemporary Computing and Informatics … , 2024 2024
Implementing Newly Proposed Dynamic Tree Structure: Development, Integration, and Optimization P Banerjee, S Kumari, B Kumar, K Thakur, K Gaurav, P Kumar 2024 International Conference on Signal Processing and Advance Research in … , 2024 2024
Intelligent fault monitoring and reliability analysis in safety–critical systems of nuclear power plants using SIAO-CNN-ORNN K Gaurav, BK Singh, V Kumar Multimedia Tools and Applications 83 (22), 61287-61311 , 2024 2024 Citations: 18
A Proposed Method to Translate Code Blended Web based Text in English Language S Sani, D Mitra, K Gaurav, K Thakur Grenze International Journal of Engineering and Technology 10 (1), 2309-2315 , 2024 2024
Braille based Ergonomic Mouse K Gaurav, D Mitra IN Patent 211,703 , 2023 2023
Dependability analysis of a system using state-space modeling techniques: a systematic review K Gaurav, V Kumar, BK Singh IEEE Transactions on Reliability 72 (4), 1340-1354 , 2023 2023 Citations: 15
Facebook like: Past, present and future K Gaurav, A Sinha, JP Singh, P Kumar Data Engineering and Intelligent Computing: Proceedings of IC3T 2016, 617-625 , 2017 2017 Citations: 5
Consumer Satisfaction Rating System Using Sentiment Analysis K Gaurav, P Kumar I3E 2017: Digital Nations – Smart Cities, Innovation, and Sustainability … , 2017 2017 Citations: 9
MOST CITED SCHOLAR PUBLICATIONS
Intelligent fault monitoring and reliability analysis in safety–critical systems of nuclear power plants using SIAO-CNN-ORNN K Gaurav, BK Singh, V Kumar Multimedia Tools and Applications 83 (22), 61287-61311 , 2024 2024 Citations: 18
Dependability analysis of a system using state-space modeling techniques: a systematic review K Gaurav, V Kumar, BK Singh IEEE Transactions on Reliability 72 (4), 1340-1354 , 2023 2023 Citations: 15
Consumer Satisfaction Rating System Using Sentiment Analysis K Gaurav, P Kumar I3E 2017: Digital Nations – Smart Cities, Innovation, and Sustainability … , 2017 2017 Citations: 9
Facebook like: Past, present and future K Gaurav, A Sinha, JP Singh, P Kumar Data Engineering and Intelligent Computing: Proceedings of IC3T 2016, 617-625 , 2017 2017 Citations: 5
Predictive Modeling and Dynamic Analysis of Price Trends in eCommerce using ML Technique P Banerjee, V Prasad, K Thakur, D Mitra, K Gaurav, S Kanrar 2024 IEEE North Karnataka Subsection Flagship International Conference … , 2024 2024 Citations: 2
Application of image processing in agriculture D Mitra, K Gaurav, P Banerjee, S Sani Geometrical Enhancements Based on Data-Driven Design Decisions, 112-134 , 2025 2025
Enhanced Fuzzy Fault Tree with OWA Operator with 2-Level Distributive Function for analyzing Reliability in NPP with a Case Study K Gaurav, V Kumar, BK Singh Journal of Nuclear Science and Technology , 2025 2025
Design and Implementation of Real Time Image Retrieval System for De-Noising Space Images in Chandrayaan 3 Lunar Mission Using Autoencoders P Shubham, P Banerjee, K Thakur, B Kumar, D Mitra, K Gaurav 2024 7th International Conference on Contemporary Computing and Informatics … , 2024 2024
Implementing Newly Proposed Dynamic Tree Structure: Development, Integration, and Optimization P Banerjee, S Kumari, B Kumar, K Thakur, K Gaurav, P Kumar 2024 International Conference on Signal Processing and Advance Research in … , 2024 2024
A Proposed Method to Translate Code Blended Web based Text in English Language S Sani, D Mitra, K Gaurav, K Thakur Grenze International Journal of Engineering and Technology 10 (1), 2309-2315 , 2024 2024
Braille based Ergonomic Mouse K Gaurav, D Mitra IN Patent 211,703 , 2023 2023
