UMANG RASTOGI

@kiet.edu

ASSISTANT PROFESSOR AND COMPUTER SCIENCE AND ENGINEERING
KIET GROUP OF INSITUTIONS

UMANG RASTOGI


               Download Compact PDF  
https://researchid.co/umang.rastogi

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Engineering, Computer Science
24

Scopus Publications

203

Scholar Citations

9

Scholar h-index

9

Scholar i10-index

Scopus Publications

  • Augmented Reality in Digital Retail: A Framework for Immersive Consumer Engagement
    Shivang Verma, Shashwat Singh, Satyam Kumar, Jatin Srivastava, Umang Rastogi
    International Conference on Innovative Practices in Technology and Management Iciptm 2026, 2026
  • Advanced gesture recognition in Indian sign language using a synergistic combination of YOLOv10 with Swin Transformer model
    Umang Rastogi, Rajendra Prasad Mahapatra, Sushil Kumar
    Scientific Reports, 2025
    Communication between deaf or mute individuals and hearing persons is often hindered by the lack of mutual understanding of sign or vocal language. To bridge this gap, Indian Sign Language Recognition (ISLR) systems are essential. This paper proposes a real-time ISLR framework based on the YOLOv10-ST model, which integrates the Swin Transformer into the YOLOv10 architecture for enhanced feature extraction. The model also incorporates Mish activation to improve gradient flow and detection accuracy. A custom dataset comprising 15, 000 static images (1, 000 per sign for 15 signs) and 35 dynamic videos (covering 7 sign classes) was used for training and evaluation. Experimental results demonstrate high performance, with the model achieving 97.50% precision, 98.10% recall, and 96.58% F1-score for image-based sign recognition, and 95.24% precision, 96.00% recall, and 95.87% F1-score for video-based gestures. The model also achieves a mean Average Precision (mAP) of 97.62% and real-time inference speeds of 48.7 FPS. Ablation studies validate the contributions of Swin Transformer and Mish activation, while paired t-tests confirm statistical significance (p $$< 0.005$$ ). The experimental findings demonstrate that the YOLOv10-ST model efficiently recognizes static and dynamic ISL in real time with minimal computational overhead.
  • Advancements in Machine Learning Techniques for Hand Gesture-Based Sign Language Recognition: A Comprehensive Review
    Umang Rastogi, Rajendra Prasad Mahapatra, Sushil Kumar
    Archives of Computational Methods in Engineering, 2025
  • Air Pollution Forecasting Using Genetic Algorithm and LSTM Deep Learning Technique
    Umang Rastogi, Sushil Kumar, Satya Prakash Maurya, Akhilesh Kumar Yadav
    Aerosol Science and Engineering, 2025
  • Progressing Alzheimer's Diagnosis with Ensemble CNN Model
    Vivek Yadav, Vaibhav, Rohit, Sushil Kumar, Umang Rastogi
    Icdt 2025 3rd International Conference on Disruptive Technologies, 2025
    This paper proposes an Alzheimer's disease prediction model using CNN, implemented on a system with AMD Radeon Vega 8 Graphics to improve computational traceability. The research is encouraging because the implicates of the model touched the 97% accuracy of the disease prediction by MRI images of patients. The integration of the Vega 8 GPU allows the system to process large datasets and perform computations at a significantly faster rate, thereby reducing training time. The MRI dataset used in this study is highly imbalanced, with four classes: Non-Demented or Non-D, Very Mild Dementia or V.M.D, Mild Dementia or M.D, Moderate Demented or M.D.A. CNN was chosen for its capability in highlight extraction and learning from MRI pictures, without requiring human interference. The show was run with parallel and multiclass datasets, and IT got 97% exactness. The systematic analysis of the test shows that the system can diagnose Alzheimer's right at the initial stage of the disease development. This approach shows how CNNs with the aid of AMD Radeon Vega 8 Graphics perform well in automating Alzheimer's diagnosis while breaking the barriers associated with manual feature extraction and orthodox dependence on experts.
  • Book Recommendation System Using Hybrid Content and Collaborative Filtering Techniques
    Urvi Gupta, Tripti Singh, Vidyush Singh, Umang Rastogi, Sushil Kumar
    Icdt 2025 3rd International Conference on Disruptive Technologies, 2025
    In this study, the process of producing a book recommendation system outlines the process of finding books to provide personalized suggestions according to user preference and behavior. The system increases user satisfaction by tailoring recommendations to their tastes, improving the overall reading experience, and enhancing engagement and retention on plat-forms. It tracks users with collaborative filtering. interactions, content-based filtering to study book characteristics such as genre and author, and mixed methods to combine both techniques that will help ensure accuracy and circumvent similar limitations of cold start problems. Machine learning models-, pre-processing of data algorithms, and accuracy and recall measures of analysis ensure the effectiveness of the system in providing individualized and relevant recommendations that are 85% accurate. The findings reveal test the system's capacity to generate good suggestions, improving user experience and engagement. Improvements in the future could include real-time recommendations and broader feedback integration towards further optimization in accuracy and usability.
  • Recognition of indian sign language using hand gestures
    Umang Rastogi, Anand Pandey, Vinesh Kumar
    Artificial Intelligence Blockchain Computing and Security Proceedings of the International Conference on Artificial Intelligence Blockchain Computing and Security Icabcs 2023, 2024
  • Decentralized System for Counterfeit Product Detection using Blockchain Technology
    Umang Rastogi, Dhruv Jain, Dhruv Gaur, Sushil Kumar
    2024 International Conference on Intelligent Systems for Cybersecurity Iscs 2024, 2024
    This research presents a decentralized system that utilizes blockchain technology to improve the detection of counterfeit products, in response to the increasing risk they provide. Presently, centralized systems suffer from risks such as data tampering and the presence of single points of failure. This research adds to the ongoing issues around the prevention of counterfeit items. The current supply chain contains a large number of counterfeit goods. The Authentication Solution Providers' Association reports that each year it costs the Indian economy INR 1 trillion. For the consumer to determine whether or not the product they are purchasing is authentic, a system that allows them to know its status. Block technology is used to identify genuine products and identify counterfeit goods. DLT is a decentralized database that is supervised by numerous users on various nodes. A hash is an irreversible cryptographic signature used to record transactions on a blockchain, a type of DLT. Blockchain is a technology with features like distributed computation, decentralization, and digital ledger which is connected to numerous database/node computers through chains and it stores transactional data in the form of blocks. Because data stored in a blockchain is immutable, any block in the chain cannot be altered or compromised, making blockchain technology secure. Customers or users don't need to rely on other users to confirm the safety and authenticity of products due to Blockchain technology. This paper describes a system for detecting counterfeit goods that uses blockchain technology,
  • A Comprehensive Approach to Stress Detection and Management Using Machine Learning, Deep Learning, and Chatbot Integration
    Amisha Singh, Akshita Agarwal, Ajeet Kumar, Umang Rastogi, Sushil Kumar
    2024 15th International Conference on Computing Communication and Networking Technologies Icccnt 2024, 2024
    In the modern era, mental health issues are increasing rapidly. That is why we need a strong and precise stress detection and management system to resolve the issue from the root. This research paper proposes an extensive approach combining machine computational power, software, technology, and sympathetic care to meet this requirement. The paper’s approach is based on speech analyses and looks for similarities in frequency patterns to determine the stress level. This paper leverages tools like machine learning (ML), deep learning (DL), and chatbots. By merging these technologies, it can bridge the research gaps and create an extensive framework for stress detection and treatment. This paper discusses the methodology, technologies, and algorithms that are used in this paper and achieves an accuracy rate of $95 \\%$, which is a testament to its practical applicability. It also discussed the ethical connotation of such technology and realized its potential application across multiple regions. We hope this research paper will mark a significant contribution to health technology and stress-bursting mission.
  • Enhancing Trust and Transparency with Blockchain-Powered Remote Electronic Voting
    Sushil Kumar, Shubham Verma, Shaurya Gupta, Shivam Shrivas, Vimal Kumar Dubey, et al.
    2024 International Conference on Control Computing Communication and Materials Iccccm 2024, 2024
    The inconvenient nature of making the conventional, physical trip to the polls has been blamed for the rise in voter disinterest in elections. Remote electronic voting, or "e-voting" appears to be a promising remedy. In addition to offering quicker results, electronic voting also solves practical issues, which may boost voter turnout. However, to foster confidence in the democratic process, e-voting needs to meet strict requirements for security, dependability, and openness. Scholarly research explores different approaches to distant electronic voting, with an emphasis on using blockchain technology. The decentralized structure of blockchain eliminates the need for reliable middlemen and allows for safe and transparent transactions. Blockchain improves voting process integrity by guaranteeing transparent data storage, offering tamper-resistant and verifiable. Furthermore, the electoral process can be further streamlined by introducing automated agreements between users through the integration of smart contracts into blockchain technology. Blockchain technology is being used in electronic voting systems to improve security and transparency while also addressing issues with trust in the digital voting environment. Blockchain presents a potential paradigm change in the design and implementation of remote electronic voting systems, removing the need for centralized authorities and introducing features like smart contracts. This might lead to a more transparent, safe, and reliable democratic process.
  • Human Detection to Mitigate Excessive Electrical Energy Usage in Communal Spaces
    Aabhas Bisaria, Devesh Chauhan, Harsh Varshney, Sushil Kumar, Umang Rastogi, et al.
    2024 International Conference on Intelligent Systems for Cybersecurity Iscs 2024, 2024
  • A Comprehensive Review on the Advancement of High-Dimensional Neural Networks in Quaternionic Domain with Relevant Applications
    Sushil Kumar, Umang Rastogi
    Archives of Computational Methods in Engineering, 2023
  • Recognition of indian sign language using hand gestures
    Umang Rastogi, Anand Pandey, Vinesh Kumar
    Artificial Intelligence Blockchain Computing and Security Volume 1, 2023
  • Skin Segmentation and SVM for Identification and Spotlighting of Hand Gesture for ISLR System
    Umang Rastogi, Anand Pandey, Vinesh Kumar
    2023 6th International Conference on Information Systems and Computer Networks Iscon 2023, 2023
  • Utilizing QUALNET for Analyzing MANET Protocols
    Gaurav Singh Rawat, Sushil Kumar, Umang Rastogi
    2022 3rd International Conference on Issues and Challenges in Intelligent Computing Techniques Icict 2022, 2022
  • Feature Extraction in Arabic Sign Language using Hand and Wrist Localization Techniques
    Umang Rastogi, Sushil Kumar, Gaurav Rawat
    Pdgc 2022 2022 7th International Conference on Parallel Distributed and Grid Computing, 2022
  • Analysis of Machine Learning Data Security in the Internet of Things (IoT) Circumstance
    B. Barani Sundaram, Amit Pandey, Aschalew Tirulo Abiko, Janga Vijaykumar, Umang Rastogi, et al.
    Lecture Notes in Networks and Systems, 2022
  • An IoT implementation to ATM safety system
    Dhanabal Thirumoorthy, Umang Rastogi, B.Barani Sundaram, Manish Kumar Mishra, Balachandra Pattanaik, et al.
    Proceedings of the 3rd International Conference on Inventive Research in Computing Applications Icirca 2021, 2021
  • Investigation of DSR protocol performance in Wireless MANET using Correlation Method
    Umang Rastogi, Balachandra Pattanaik, B Barani Sundaram, Manish Kumar Mishra, Dhanabal Thirumoorthy
    Journal of Physics Conference Series, 2021
  • ZHLS Security Enhancement by integrating SHA256, AES, DH in MANETS
    B Barani Sundaram, Manish Kumar Mishra, Dhanabal Thirumoorthy, Umang Rastogi, Balachandra Pattanaik
    Journal of Physics Conference Series, 2021
  • Industrial Speed Control of im Based Model Predictive Controller Using Zeta Converter
    Balachandra Pattanaik, B Barani Sundaram, Manish Kumar Mishra, Dhanabal Thirumoorthy, Umang Rastogi
    Journal of Physics Conference Series, 2021
  • Vertical Handoff in Heterogeneous Mechanism for Wireless LTE Network - An Optimal Approach
    Pushparaj Pal, Taranpreet Kaur, Dinesh Sethi, Anil Kumar, Sanjay Kumar, et al.
    Proceedings 2020 International Conference on Emerging Trends in Communication Control and Computing Iconc3 2020, 2020
  • Managing the cloud: Establishing standards for describing core tasks of cloud creators, providers, and consumers
    International Journal of Recent Technology and Engineering, 2019
  • Blockchain Based Cryptocurrency for IOT
    Samyak Jain, Umang Rastogi, Nikita Bansal, Gagandeep Kaur
    2019 6th International Conference on Signal Processing and Integrated Networks Spin 2019, 2019

RECENT SCHOLAR PUBLICATIONS

  • Augmented Reality in Digital Retail: A Framework for Immersive Consumer Engagement
    S Verma, S Singh, S Kumar, J Srivastava, U Rastogi
    2026 5th International Conference on Innovative Practices in Technology and … , 2026
    2026
  • Advancements in Machine Learning Techniques for Hand Gesture-Based Sign Language Recognition: A Comprehensive Review: U. Rastogi et al.
    U Rastogi, RP Mahapatra, S Kumar
    Archives of Computational Methods in Engineering 32 (7), 4265-4302 , 2025
    2025
    Citations: 16
  • Advanced gesture recognition in Indian sign language using a synergistic combination of YOLOv10 with Swin Transformer model
    U Rastogi, RP Mahapatra, S Kumar
    Scientific Reports 15 (1), 32894 , 2025
    2025
    Citations: 2
  • Air Pollution Forecasting Using Genetic Algorithm and LSTM Deep Learning Technique
    U Rastogi, S Kumar, SP Maurya, AK Yadav
    Aerosol Science and Engineering, 1-10 , 2025
    2025
    Citations: 7
  • Book Recommendation System Using Hybrid Content and Collaborative Filtering Techniques
    U Gupta, T Singh, V Singh, U Rastogi, S Kumar
    2025 3rd International Conference on Disruptive Technologies (ICDT), 1233-1238 , 2025
    2025
    Citations: 2
  • Progressing Alzheimer's Diagnosis with Ensemble CNN Model
    V Yadav, S Kumar, U Rastogi
    2025 3rd International Conference on Disruptive Technologies (ICDT), 1134-1138 , 2025
    2025
  • Enhancing Trust and Transparency with Blockchain-Powered Remote Electronic Voting
    S Kumar, S Verma, S Gupta, S Shrivas, VK Dubey, U Rastogi
    2024 International Conference on Control, Computing, Communication and … , 2024
    2024
  • A comprehensive approach to stress detection and management using machine learning, deep learning, and chatbot integration
    A Singh, A Agarwal, A Kumar, U Rastogi, S Kumar
    2024 15th International Conference on Computing Communication and Networking … , 2024
    2024
    Citations: 6
  • Human Detection to Mitigate Excessive Electrical Energy Usage in Communal Spaces
    A Bisaria, D Chauhan, H Varshney, S Kumar, U Rastogi, V Sharma
    2024 International Conference on Intelligent Systems for Cybersecurity (ISCS … , 2024
    2024
  • Decentralized System for Counterfeit Product Detection using Blockchain Technology
    U Rastogi, D Jain, D Gaur, S Kumar
    2024 International Conference on Intelligent Systems for Cybersecurity (ISCS … , 2024
    2024
  • Recognition of indian sign language using hand gestures
    U Rastogi, A Pandey, V Kumar
    Artificial Intelligence, Blockchain, Computing and Security Volume 1, 155-159 , 2023
    2023
    Citations: 6
  • A Comprehensive Review on the Advancement of High-Dimensional Neural Networks in Quaternionic Domain with Relevant Applications: S. Kumar, U. Rastogi
    S Kumar, U Rastogi
    Archives of Computational Methods in Engineering 30 (6), 3941-3968 , 2023
    2023
    Citations: 26
  • Congestion Control Using Software Defined Network
    U Rastogi, P Pal, K Gupta, K Arora, S Kumar
    Proceedings of the KILBY 100 7th International Conference on Computing Sciences , 2023
    2023
  • Deep Learning-Based Yoga Posture Correction with Dynamically Varying Poses
    S Kumar, S Dixit, VK Patel, BK Sharma, U Rastogi
    Proceedings of the KILBY 100 7th International Conference on Computing Sciences , 2023
    2023
  • Skin segmentation and svm for identification and spotlighting of hand gesture for islr system
    U Rastogi, A Pandey, V Kumar
    2023 6th International Conference on Information Systems and Computer … , 2023
    2023
    Citations: 4
  • Computer Networks for Medical Data and its Consequences–Medical Devices Literature Survey
    U Rastogi
    International Journal of Health, Education & Social (IJHES) 6 (1), 28-42 , 2023
    2023
    Citations: 1
  • Feature extraction in arabic sign language using hand and wrist localization techniques
    U Rastogi, S Kumar, G Rawat
    2022 Seventh International Conference on Parallel, Distributed and Grid … , 2022
    2022
    Citations: 4
  • Utilizing QUALNET for analyzing MANET protocols
    GS Rawat, S Kumar, U Rastogi
    2022 3rd International Conference on Issues and Challenges in Intelligent … , 2022
    2022
    Citations: 2
  • An IoT implementation to ATM safety system
    D Thirumoorthy, U Rastogi, BB Sundaram, MK Mishra, B Pattanaik, ...
    2021 Third International Conference on Inventive Research in Computing … , 2021
    2021
    Citations: 21
  • Analysis of machine learning data security in the Internet of Things (IoT) circumstance
    B Barani Sundaram, A Pandey, AT Abiko, J Vijaykumar, U Rastogi, ...
    Expert Clouds and Applications: Proceedings of ICOECA 2021, 227-236 , 2021
    2021
    Citations: 24

MOST CITED SCHOLAR PUBLICATIONS

  • A Comprehensive Review on the Advancement of High-Dimensional Neural Networks in Quaternionic Domain with Relevant Applications: S. Kumar, U. Rastogi
    S Kumar, U Rastogi
    Archives of Computational Methods in Engineering 30 (6), 3941-3968 , 2023
    2023
    Citations: 26
  • Analysis of machine learning data security in the Internet of Things (IoT) circumstance
    B Barani Sundaram, A Pandey, AT Abiko, J Vijaykumar, U Rastogi, ...
    Expert Clouds and Applications: Proceedings of ICOECA 2021, 227-236 , 2021
    2021
    Citations: 24
  • An IoT implementation to ATM safety system
    D Thirumoorthy, U Rastogi, BB Sundaram, MK Mishra, B Pattanaik, ...
    2021 Third International Conference on Inventive Research in Computing … , 2021
    2021
    Citations: 21
  • ZHLS security enhancement by integrating SHA256, AES, DH in MANETS
    B Barani Sundaram, MK Mishra, D Thirumoorthy, U Rastogi, B Pattanaik
    Journal of Physics: Conference Series 1964 (4), 042003 , 2021
    2021
    Citations: 18
  • Advancements in Machine Learning Techniques for Hand Gesture-Based Sign Language Recognition: A Comprehensive Review: U. Rastogi et al.
    U Rastogi, RP Mahapatra, S Kumar
    Archives of Computational Methods in Engineering 32 (7), 4265-4302 , 2025
    2025
    Citations: 16
  • Industrial speed control of IM based model predictive controller using zeta converter
    B Pattanaik, BB Sundaram, MK Mishra, D Thirumoorthy, U Rastogi
    Journal of Physics: Conference Series 1964 (6), 062075 , 2021
    2021
    Citations: 15
  • Desktop voice assistant for visually impaired
    A Yadav, A Singh, A Sharma, A Sindhu, U Rastogi
    Int J Recent Technol Eng (IJRTE) 9 (2) , 2020
    2020
    Citations: 15
  • Investigation of DSR protocol performance in Wireless MANET using Correlation Method
    U Rastogi, B Pattanaik, B Barani Sundaram, MK Mishra, D Thirumoorthy
    Journal of Physics: Conference Series 1964 (4), 042042 , 2021
    2021
    Citations: 11
  • Blockchain based cryptocurrency for iot
    S Jain, U Rastogi, N Bansal, G Kaur
    2019 6th International Conference on Signal Processing and Integrated … , 2019
    2019
    Citations: 10
  • Vertical handoff in heterogeneous mechanism for wireless lte network-an optimal approach
    P Pal, T Kaur, D Sethi, A Kumar, S Kumar, A Lamba, U Rastogi
    2020 International Conference on Emerging Trends in Communication, Control … , 2020
    2020
    Citations: 8
  • Air Pollution Forecasting Using Genetic Algorithm and LSTM Deep Learning Technique
    U Rastogi, S Kumar, SP Maurya, AK Yadav
    Aerosol Science and Engineering, 1-10 , 2025
    2025
    Citations: 7
  • A comprehensive approach to stress detection and management using machine learning, deep learning, and chatbot integration
    A Singh, A Agarwal, A Kumar, U Rastogi, S Kumar
    2024 15th International Conference on Computing Communication and Networking … , 2024
    2024
    Citations: 6
  • Recognition of indian sign language using hand gestures
    U Rastogi, A Pandey, V Kumar
    Artificial Intelligence, Blockchain, Computing and Security Volume 1, 155-159 , 2023
    2023
    Citations: 6
  • Skin segmentation and svm for identification and spotlighting of hand gesture for islr system
    U Rastogi, A Pandey, V Kumar
    2023 6th International Conference on Information Systems and Computer … , 2023
    2023
    Citations: 4
  • Feature extraction in arabic sign language using hand and wrist localization techniques
    U Rastogi, S Kumar, G Rawat
    2022 Seventh International Conference on Parallel, Distributed and Grid … , 2022
    2022
    Citations: 4
  • Computer network and its consequences–a literature survey
    U Rastogi
    International Journal of Health, Education & Social (IJHES) 2 (11), 5-19 , 2019
    2019
    Citations: 3
  • Advanced gesture recognition in Indian sign language using a synergistic combination of YOLOv10 with Swin Transformer model
    U Rastogi, RP Mahapatra, S Kumar
    Scientific Reports 15 (1), 32894 , 2025
    2025
    Citations: 2
  • Book Recommendation System Using Hybrid Content and Collaborative Filtering Techniques
    U Gupta, T Singh, V Singh, U Rastogi, S Kumar
    2025 3rd International Conference on Disruptive Technologies (ICDT), 1233-1238 , 2025
    2025
    Citations: 2
  • Utilizing QUALNET for analyzing MANET protocols
    GS Rawat, S Kumar, U Rastogi
    2022 3rd International Conference on Issues and Challenges in Intelligent … , 2022
    2022
    Citations: 2
  • Smart Ukulele: A Music Education Tool
    J Martino, M Weaver, T Lee, U Rastogi, D Hunter, B Maheswaran
    2020 Northeast Section Meeting , 2021
    2021
    Citations: 2