Proceedings of International Conference on Recent Trends in Computing

Prof. Rajendra Prasad Mahapatra is the Professor & Dean– SRM institute of Science and Technology, Delhi-NCR Campus, Ghaziabad. He is a pioneer in the field of computer science and engineering. He has vast experience of 23 years as an academician, researcher and administrator. During his 23 years of experience, he has worked in India and abroad. He has been associated with Mekelle University, Ethopia for more than two years. Prof. R.P. Mahapatra has authored more than 100 research papers which are published in international journals like Inderscience, Emerald, Elsevier, IEEE and Springer. He has authored ten books, ten book chapters and five granted patents. His 15 students have successfully completed their Ph.D. under his guidance and 8 students are pursuing their Ph.D. He is a fellow member of I.E. (India), senior member of IACSIT, Singapore, life member of ISTE, Senior member of IEEE and many more reputed bodies. He is a recipient of the Institution Award from Institution of Engineers (India), Calcutta, on 56th Annual Technical Session on 15th Feb.2015, Madhusudan Memorial Award from Institution of Engineers (India), Calcutta, on 57th Annual Technical Session on 14th Feb.2016, Certificate of Excellence from SRM University, NCR Campus, on 9th Feb 2015.Dr. Sudip Roy is an Associate Professor in the Department of Computer Science and Engineering of Indian Institute of Technology (IIT) Roorkee, India, since July 2014. He is also an associated faculty member of the Centre of Excellence in Disaster Mitigation and Management (CoEDMM) in IIT Roorkee, India, since April 2015. He is a JSPS fellow (long-term) in the college of information science and engineering, Ritsumeikan University, Japan, during April 2021 to January 2022. He has authored one book, one book chapter, two granted US patents including 25 research articles in international peer-reviewed journals and 40 papers in international peer-reviewed conference proceedings. His current research interests include computer-aided design for digital systems, electronic design automation (EDA) for microfluidic lab-on-a-chips, algorithm design, optimization techniques, information and communication technologies (ICT) for disaster risk reduction (DRR). He is a recipient of JSPS Invitational Fellowship Award (Long-Term) from the Japan Society for the Promotion of Science (JSPS), Govt. of Japan in 2021, Early Career Research Award from Department of Science and Technology, Govt. of India in 2017 and Microsoft Research India Ph.D. Fellowship Award in 2010. He is a member of IEEE and ACM.Dr. D. Ganesh Gopal currently working as a professor and research coordinator in the department of Computer Science and Engineering, SRM Institute of Science and Technology, India. He has received his PhD degree in Computer Science and Engineering from VIT University, Vellore, India. He has more than 18 years and 6 months of Research and Teaching Experience in the domain of Computer Science and Engineering. His research interest includes Machine Learning, Deep Learning, Cyber Physical Systems and VANET. As part of his professional career, he has around 50+ publications in international journals and conferences. He has published 35 SCI journal papers and 15 Scopus indexed journal papers. He has successfully completed the 28 special issues by serving as guest editor for reputed journals. He is an Editor-In-Chief for Book Series," ADVANCES IN CYBER SECURITY for Wiley – Scrivener. He is currently supervising 5 M.Tech students and guiding 8 PhD students. He has contributed his ideas and shared his research experience as Technical Programme Committee (TPC) member, Programme Committee member and Session Chair member in premium international conferences. He has given key note addresses in many international conferences He is a reviewer in some of the Q1 Journals. He has involved in several professional activities and as a member of professional committees like IEEE, ACM and CSI

• .- A Deep Transfer Learning Approach For Image Based Disease Detection.- A Deep Transfer Learning Approach For Image Based Disease Detection.- Analysis of an Encryption Technique in Multi-Tenant Cloud Environment.- Detection and Classification of Non-Melanoma Skin Cancer Using Deep Learning Model.- Enhancing Image Quality and Early Gastric Cancer Detection.- HOME AUTOMATION USING AUGMENTED REALITY.- Enhancing Cybersecurity Through Effective DoS and Brute Force Attack Management.- Privacy - Preserving Sign Language Recognition: A Federated Learning Approach for Decentralised and Secure Communication Systems.- Ethereum Smart Contracts for Blockchain Crowdfunding.- Enhancing Human Face Recognition using a Hybrid CNN and Softmax Based Model.- Underwater Communication Through LiFi Technology Using an LED Matrix-Based System.- THE EVOLVING LANDSCAPE OF CLOUD COMPUTING: AI INTEGRATION, THREATS, CHALLENGES AND SECURITY CONCERNS.- A Hybrid Machine Learning Approach for Enhanced Software Defect Prediction through Optimized Feature Selection.- Realtime Image Analyzing and Captioning with Voice Output for Visually Impaired Individuals.- Design and Implementation of an IPL Auction System using PHP and MySQL: A Web-Based Bidding Platform.- Economic and Technical Innovations in the AI Age: Transforming Modern Business Practices.- Motor Imagery Classification Using CEEMDAN-HHT Features with PCC-Optimized IMF Selection.- Analyzing Big Data Research: A Informetric Perspective on Challenges.- Formal Verification and Comparative Analysis of a Lightweight Authentication Protocol for IoT Healthcare Applications.- Real-Tomato Plant Health Monitoring and Disease Prediction Using ML Models.- Real-Time Congestion Analysis and Adaptive Redistribution with YOLOv8.- A Hybrid Image Compression Framework Using DWT and Wavelet-GAN with Entropy Coding.- Long Reach High Speed MEO based Inter-satellite Optical Wireless Incorporating Dual m-QAMs.- Intelligent Brain Tumor Diagnosis From MRI Using Machine Learning Techniques.- Intelligent Brain Tumor Diagnosis From MRI Using Machine Learning Techniques.- Deep Learning Driven Smart Surveillance System for Wildlife Conservation and Anti-Poaching Efforts.- Deep Learning Driven Smart Surveillance System for Wildlife Conservation and Anti-Poaching Efforts.- Analysis of Energy Harvesting Schemes of Wireless Body Area Sensor Networks.- Student Performance Modeling using Stacked Regressor.- Arduino Based PV Cell Charging Using Solar Tracker System.- Comparative Analysis of Water Quality Assessment of Delhi using Machine Learning Models.- Design and Implementation of a Smart Helmet System for Enhanced Rider Safety.- Glaucoma Detection from Fundus Images Using Texture Features and Machine Learning Techniques.- Embedded Control System Development: A Model Based Design Approach.- Enhancing Financial Security: Advanced Fraud Detection Method.- Natural Language Processing for Sentimental Analysis.