BOOKS 2026
Monika Jhapate, Ms. Rupal Shukla, and Ms. Yogita Saini authored "A Novel Convolutional Neural Network Architecture for Enhanced Gait Recognition Using Gait Energy Image." The research proposes a custom deep learning CNN model that utilizes Gait Energy Images (GEI) to extract human walking patterns. This approach enhances biometric accuracy for non-intrusive personal identification and surveillance systems.
Dr. Aruna Sengar, Ms. Rupal Shukla, and Ms. Yogita Saini contributed a book chapter titled "The Silent Architect of the Digital World: Understanding Operating Systems," published in Advances in Information Technology (Volume-3) by Aakash Publications in 2026 (ISBN: 978-93-7150-080-7). The chapter serves as a comprehensive educational guide covering core operating system fundamentals, including process scheduling, memory allocation, storage management, and overall system architecture.
(ISBN: 978-93-7150-080-7), Dr. Aruna Sengar, Ms. Rupal Shukla, and Ms. Yogita Saini published another chapter titled "Modern Software Engineering Practices: Foundation, Innovations and Future Trends." The text examines contemporary software development paradigms, evaluating Agile methodologies, DevOps integration, automated testing, and emerging technology trends shaping modern software engineering.
Ms. Monika Jhapate authored a chapter titled "MuseTalk+: Advanced Real Time Lip Syncing to Drive Audio Video Space Inpainting," published in Advances in Information Technology (Volume-3) by Aakash Publications in 2026 (ISBN: 978-93-7150-080-7). The work highlights an advanced real-time lip-synchronization framework ("MuseTalk+") that leverages video space inpainting techniques to synthesize realistic facial movements and facial audio-visual alignment.
Published by Springer Nature in 2026 (DOI: 10.1007/978-94-6239-678-4_4), Dr. Anupama Jain authored the research work "A Robust Image Technique for Projection Through Mathematical...". The publication presents a refined mathematical approach to image projection and processing, focusing on enhancing signal transformation, spatial resolution, and stability across computational image rendering environments.
BOOKS 2025
Dr. Kapil Chaturvedi and Dr. Vijay Bhandari authored an international publication titled “An Intelligent Approach to Analyze Severity Levels of Diabetic Retinopathy by Data Classification Using Transfer...” Published by Springer Nature on May 15, 2025, the work featured in the proceedings of Data Science and Big Data Analytics: Proceedings of IDBA 2024. The research focuses on leveraging data classification and transfer learning techniques to evaluate and analyze the severity stages of diabetic retinopathy.
Dr. Anupama Jain authored an international study titled "Authentication based Hybrid Approach to achieve Data Security in Cloud." The research presents an advanced multi-layered security architecture that combines hybrid authentication methods to protect cloud-stored assets. By strengthening access control mechanisms and encryption schemes, the paper aims to provide robust data confidentiality and integrity within cloud computing environments.
Dr. Anupama Jain presented a paper titled "Humanizing Intelligence: The Integration of AI" at a national student conference. The study focuses on human-centered artificial intelligence, exploring strategies to integrate AI systems seamlessly into everyday human workflows. It emphasizes the importance of ethical AI deployment, user-centric system design, and creating AI solutions that complement rather than replace human intuition.
Dr. Aruna Sengar and Ms. Yogita Saini presented an international conference paper titled "A Strategic Framework for Sustainable Development Aligning Indian Legal...". The paper introduces a structured framework designed to align corporate and environmental sustainable development practices with existing Indian legal standards and regulatory requirements, ensuring that technological and industrial growth remains ecologically responsible.
BOOKS 2024
Dr. Kapil Chaturvedi, Dr. Vijay Bhandari, Anil Kothari, Adem Tekerek, and Rishabh co-authored an international research paper titled “An Intelligent Approach to Analyze Severity Levels of Diabetic Retinopathy by Data Classification Using Transfer Learning.” The work was presented at the International Conference on Data Science and Big Data Analysis on December 7, 2024, and published by Springer Nature Singapore. The paper explores the application of transfer learning and data classification techniques to detect and categorize the severity stages of diabetic retinopathy.
Kapil Chaturvedi, Vijay Bhandari, and Ritu Srivastava co-authored an international conference paper titled “A Comparative Study on Diabetic Retinopathy Datasets for Data Accuracy Detection.” Presented in 2024 at the 2024 IEEE International Conference on Electrical, Electronics and Computer Science (SCEECS), the research evaluates and compares various diabetic retinopathy datasets to assess performance and accuracy detection.
Dr. Kapil Chaturvedi, Dr. Ritu Shrivastava, and Amit Shrivastava co-authored a publication titled “IoT-Based Module to Control Electronic Devices Through Wi-Fi and Bluetooth.” The work was published on October 15, 2024, by John Wiley & Sons, Inc. as part of the book Reshaping Intelligent Business and Industry: Convergence of AI and IoT at the Cutting Edge. The research focuses on designing an IoT-driven module leveraging wireless communication protocols (Wi-Fi and Bluetooth) to efficiently operate and manage electronic devices.
Dr. Kapil Chaturvedi, Dr. Ritu Shrivastava, and Amit Shrivastava co-authored a publication titled “Enhanced Diabetic Retinopathy Detection Mechanism Through Ensemble Learning Techniques.” Presented at the International Conference on Data Science and Big Data Analysis (Data Science and Big Data Analytics - IDBA 2024), the work was published by Springer Nature Singapore. The research focuses on utilizing ensemble learning methods to improve the accuracy and efficiency of diabetic retinopathy detection.
Dr. Kapil Chaturvedi, Dr. Ritu Shrivastava, and Amit Shrivastava co-authored a review paper titled “A Recent Review on Diabetic Retinopathy Detection (DRD) Approaches.” Presented at the International Conference on Advanced Computing and Applications on February 23, 2024, the paper was published by Springer Nature Singapore. The work provides a comprehensive overview of existing methodologies, analytical techniques, and computational approaches used in detecting diabetic retinopathy.
Dr. Anupama Jain presented a research paper titled "A routing protocol based on energy for Clear and Reliable Internet of Things Applications" at a national conference held at Sagar Institute of Research and Technology (SIRT) on May 1, 2024. This work focuses on optimizing network communication in IoT environments by designing an energy-efficient routing protocol. By reducing power consumption during data transmission, the proposed approach aims to improve network longevity and ensure reliable, uninterrupted connectivity across interconnected IoT devices.
Dr. Anupama Jain presented a paper titled "Enhancing Security in Cloud Environment" at the SIRT National Conference. The study addresses critical security vulnerabilities inherent in cloud computing infrastructures. It explores robust security frameworks and protective protocols designed to safeguard sensitive data hosted in the cloud, mitigating risks associated with unauthorized access and data breaches.