AI-Driven Innovation for Industry 4.0 to Society 5.0

Tanya Singh is Professor, Computer Science and Engineering & Dean (Academics), Noida International University with 25+ years in the field of Teaching, Research, Training and Consultancy for Networking, Security, Data Science, IoT. A certified International Trainer and member for BIS and IEC, LITD-27 IOT and Digital Twin and LITD-30 Artificial Intelligence. She has conducted 21 training programmes for Corporate and government officials and has been invited to speak at over 40 conferences. Two Ph.Ds have been awarded under her supervision, and she has over 75 publications and presentations credited to her name. Out of three, two patents are granted and she has authored other books on Wireless Communication. Her work is recognized and awarded by several Government and industry organizations.Syed Akhter Hossain is currently Professor and Dean of Faculty of Science and Information Technology, Daffodil International University. As Erasmus Mundus post-doctoral fellow, he has over 30 years of work experience and is actively involved in research projects and collaborations. With more than 250 publications and presentations, his work is listed in ACM, DBLP, IEEE Explore and other research databases. He is also a recipient of several national and international awards. He works closely with the ICT Division of the Ministry of Post, Telecommunication, and IT of the Government of Bangladesh. His current research interests include Machine Learning and AI with Natural Language Processing.Rahul Johari is currently Associate Professor, Guru Govind Singh Indraprastha University, and is specialized in the domain of IoT, Cyber Security, Cloud Computing, BlockChain Technology, etc. He is supervising five PhD Students, and one student has been awarded. He has published seven Patents, three of which have been awarded. He has delivered 180 keynote speeches and invited talks. He has several publications under his name and has edited books for noteworthy academic publishers. He has invented several techniques such as CLCT (Cross-Language Cipher Technique); BLAST (BlockChain Algorithm for Secure Transactions) CONCOR(Context-aware Community-oriented Routing for intermittently connected Network); BLOSOM (Blockchain technology for Security of Medical records).Vimal Bibhu is a Professor, Computer Science and Engineering, and Dean, School of Engineering and Technology, Noida International University. He has 21 years of teaching and research experience. He has published 67 research papers in various reputed journals and conference proceedings. He has supervised three Ph.D. scholars of Computer Science domain and is supervising seven Ph.D scholars of different Indian Universities under the domain Computer Science and Engineering. He has published seven eBook chapters. He also published two Indian Patents and filed 10 design patents.

• Track I: AI and Education. Demand Prediction for Local Vegetable Markets Using CNN-LSTM. Explainability in Predictive Models for Software Engineering: Techniques, Challenges, and Future Directions. Wind Farm Performance Monitoring via Hybrid Time-Series Forecasting and Residual-Based Anomaly Detection. Automated Anthropometric Parameters Study with ML Techniques. Deep Learning-Based Skeletal Bone Age Assessment Using Optimized Methods. Fusion of Multiple Facial Expression Datasets for Improved SVM Performance. Integrating Fog Computing with IoT: Key Algorithms, Challenges, and Future Directions. Fluid Dynamics for Hemodynamic Diagnosis by Deep Learning Computation. Predictive based Direct Control of Permanent Magnet Synchronous Motor Drives. AI-Driven Cloud Server Performance Optimization: ANN-Based Analysis of Virtual Machine Metrics. An In-Depth Exploration of ML Algorithms in Cancer Diagnostic Applications. Track II: AI and Agriculture. Transforming Patient Care: The Role of Machine Learning in Modern Healthcare. Emergence of Multidrug-Resistant Paracoccus spp. in Wastewater Environments: A Preliminary Microbial and Antibiotic Resistance Analysis. Post-COVID-19 Health Burden: A Research Study on Long-Term Morbidity and Clinical Outcomes. Usages of IOT in Pharmaceutical Industry and Drug Design Development. Systematic Review: Evidence-based practices of Quantification/Forecasting and Procurement of Essential Medicines (Paracetamol and Iron Tablets) in Public Health Logistics Systems. Antibiotic Resistance Profiling of Bacillus Species Isolated from Wastewater in the Delhi-NCR Region: An Emerging Environmental Threat. Declining Antibiotic Efficacy and Variable Azithromycin Susceptibility in Salmonella Typhi: A Comparative Analysis of South Asian Regions. Comparative Analysis of Machine Learning and Deep Learning Techniques for Satellite-Based Crop Classification in Agriculture. Harnessing Artificial Intelligence for Advancing Hydropower Development in Nepal: A Review. Growth Kinetics of Staphylococcus aureus: A Medium-Dependent Comparative Analysis. Machine Learning Approaches for Land Use and Mapping through Satellite Data: A Survey. Evaluating Medical Healthcare Workers Competencies in Geriatric Care: Insights from Greater Noida Region. Family Planning Policy and Service Utilization Trend in Nepal: A Narrative Review. Track III: AI and Renewable Energy. Quantum Inspired Evolutionary Algorithms for Solving Project Scheduling Problem. Reliability Evaluation of Components in Complex System through Tie Set Approach. Application of Artificial Intelligence Based Chatbot System for Medical Diagnosis of Memory Loss Patients. Role of Activation Functions in Deep Neural Networks: A Comparative Survey. Data-Driven Modelling for Predicting Bridge Foundation Settlement: A Case Study of Barahari Khola Bridge on Nepal East-West Highway. Seismic Vulnerability and Retrofitting Prioritization of Nepal’s Bridges Using AI-Driven Fragility Analysis and Cost-Effective Rehabilitation Strategies. AI-Enhanced Analysis of Soil Damping Influence on Seismic Soil–Pile–Structure Interaction. Smart Waste Management Leveraging AI Technologies for Urban Resilience in Kathmandu Valley’s Smart City Framework. Track IV: AI and Healthcare. Harnessing AI and Machine Learning for Enhanced Cloud Security: Implications for Data Integrity, Threat Detection, and Risk Management. Visual Analytics in Healthcare: Transforming Data into Clinical Decisions for Improved Patient Outcomes. Predictive Modeling of Depression Levels in Undergraduate Populations. Plant Disease Detection and Classification by Deep Learning. Machine Learning for Plant Diseases Detection and Management. Reliability Analysis of Circuit Failure for Two Components in Electric Vehicle System. A Comprehensive Evaluation of Diffusion Models for Text-to-Image Generation Using Deep Generative Architecture. Advances and Challenges in Human Emotion Recognition Using Deep Learning. Evaluating the Effectiveness of the Promotion of Irrigated Agriculture Model (PIAT) for Enhancing Sustainable Irrigation and Agricultural Output in the Terai Plains of Nepal. The Use of Artificial Intelligence in the Literary Analysis of Hardy's Tess of the D’Urbervilles. Smart Haematology: Developing AI-Powered Medical Device Software for Automated Blood Cell Separation and Analysis. AI-Driven Corporate Social Responsibility as a Strategic Marketing Lever: Evidence from the IT Industry. Forecasting Renewable Energy and Energy Demand in India Using AI: A Roadmap for Future Research. Postcolonial Women and Artificial Intelligence: A Digital Reading of Bharati Mukherjee's Jasmine and Wife. Track V: AI and Computing for Security. Efficient Solutions to Mitigate DDoS Attacks in Cloud Environments: A Literature Review. Real-Time Gas Leakage Monitoring and Alert System Using IoT and Mobile Notification BOT. Effect of Temporal Averaging in Forecasting Indian Monsoon and/or Allied Phenomena. OTT Revolution and Women's Representation: A Review of Gender Portrayals in Hindi Web Series. Communication as Empowerment: A Historical Study of Women-Centric Hindi Web Series on OTT Platforms. Switching Losses Reduction and Enhancement of Predictive Direct Torque Control Drives using 2-level Inverter with BLDC Motor. Track VI: AI and Computing for IoT and Sensor Devices. The Role of Deep Learning in Agriculture: A Survey on Plant Disease Detection. Enhancing Cross-Domain Calibration and Explainability in Hybrid CNN-Based Breast Cancer Histopathology Classification. A Machine Learning Framework for Diet Optimization: Linking Micronutrient Intake to Mental Health Outcomes. Integrating Machine Learning for Precision Crop Yield Forecasting. Millennial OTT Viewing and AI: A Study of Attention Span, Multitasking, and Content Chunking in Delhi. Enhancing Distil BERT-Based Text Classification through Lightweight Hyperparameter Optimization. Meta AI, WhatsApp,band SECI: Enhancing Knowledge Sharing, Effective Learning, and Career Growth among Noida College Students. Navigating Intellectual Property in the Age of AI: Changing Landscapes and Legal Pathways. Smart Farming with Machine Learning: A Review on Crop Yield Prediction Models. Track VII: AI and Computing for Data Science. Evaluating the Effectiveness of AI-Powered Study Companions in Improving Undergraduate Learning Outcomes: Evidence from Bangladesh. Smart Information Extraction from Business cards using optical character Recognition and Language Models. Sentinel Mind: A Privacy-Preserving AI Framework for Mental Health Monitoring Using Social Media. Legal Protection against Abuse of AI Powered CCTV Generated Data in India and EU. Optimizing Crop Health Monitoring Through AI-Powered Drone Imaging. Performance Evaluation of Modern Load Balancing Algorithms for Cloud Infrastructures. Artificial Intelligence Integration in Indian Judiciary: Transforming Case Management to Combat the Crisis of Delayed Justice Delivery. Track VIII: AI and Computing for Communication and Networks. Mutation Hotspot Analysis of SARS-CoV-2 Spike Protein Using Machine Learning and Deep Learning Approaches. Deep Learning-Based Prediction of SARS-CoV-2 Spike Antibody Domain Specificity with Sequence Logo Analysis. Diabetesnet with Reinforcement Learning for Type 2 Diabetes Detection and Personalized Diet Recommendation. Artificial Intelligence, Patient Rights, and Medical Law in Bangladesh: Emerging Legal Frontiers in Healthcare. Deep Learning-Based Mutational Analysis of HIV-1 Genome Sequences. Predicting HIV-1 Env Neutralization from Sequence Using Machine Learning-Based Methods: Pooled and Per Antibody Performance with CATNAP Data. An Ensemble Machine Learning Approach to Detect Autism Spectrum Disorder. Track IX: AI and Environment Engineering. Transgender Right to Reproduction with Assisted Reproductive Technology in the Era of AI: A Comparative Study of India, USA, Australia. Performance Analysis of a Network System Consisting of Three Subsystems in Series Configuration Under a Multi-Repair Approach. Bridging Statistical and Soft Computing: A Review on Hybrid Optimization Strategies for Accurate Chronic Disease Detection. Integrating Marie Ndiaye’s Works with AI in Teaching and Learning. Preparedness of Competition Legal Framework in India and Challenges Posed by AI. CNN-Based Deepfake Detection Using Frequency and Spatial Domain Analysis. Track X: AI and Humanities and Technology. Bridging Educator Competency Gaps for NEP 2020 through AI-Enabled Capacity Building: A Systematic Review and Framework for Sustainable Higher Education. AI-Driven Multimodal Fusion Using Perceiver–Graph–Conformer Networks for Early Warning of Climate Hazards in Vulnerable Ecosystems. AI-Powered Edge Intelligence with Integrated Multi-Sensor Framework for Real-Time Crop Disease Detection and Resilient Farming Practices. AI for Urban Climate Justice: Multimodal Fairness-Aware Models in Mitigation and Adaptation Planning. AI-Driven Cognitive Framework for Cyber-Physical Threat Analytics in Smart Urban Ecosystems. Artificial Intelligence as a Teacher Support System – A Review. OntoContext: An Ontological Reasoning Framework with Deep Contextualized Embeddings. Beyond Consent and Confidentiality: Rethinking Healthcare Data Law through Gender and AI. Track XI: AIML and Computer Science. The Generation-Z Shopper in Delhi: Navigating Privacy Risks, Trust, and AI's Usefulness in Online Shopping. Artificial Intelligence-based Individualized Learning in Blended Learning in India. A Systematic Study of Computational Advancements in Chest X-ray Based Tuberculosis Detection. AI Augmented Assessment of a Medical Foundation Course: A Mixed-Methods Study. Identifying the Virulence Role of the Most Deleterious nsSNPs of the HER2/ERBB2 Gene Associated with Breast Cancer. Artificial Intelligence in Education of Child Protection: A Socio-Legal Analysis of Varanasi. Forensic Challenges and Solutions in IoT Ecosystems: A Comprehensive Review of Tools, Techniques, and Legal Implications. Data Protection Law in India and Its Intersection with National Education Policy 2020 in the Digital Age of AI. Track XII: AI and Computing for Next Generation. Reimagining Restorative Justice Through AI: A Future Model for India’s Criminal Justice System. Artificial Intelligence and the Future of Surrogacy: Legal, Ethical, and Humanitarian Challenges in the Age of Reproductive Technology. Data Protection, Identity Management, and Intellectual Property Protection: A Comprehensive Analysis of Digital Signatures. Customer Churn Prediction Using Machine Learning: A Study on Telco Data. Robust 2-D SLAM Implementation Using Lidar Scan Processing and Pose Graph Optimization. Hybrid Agentic AI and Metaheuristic Optimization for Predictive Assessment of Climate-Induced Crop Yield Variability in Data-Scarce Agroecosystems. Integrated Green Cloud Framework Using Virtualization, Carbon-Aware Workload Migration, and Simulation for Sustainable Data Centers. Track XIII: AI and Sustainable Supply Chain Management. Cybersecurity and Secured Routing in Internetworks. AI-Driven Predictive Maintenance in Industrial Internet of Things. An Analytical Study of Cohesive Devices in ESL Students’ Spontaneous Texts. The Trajectory of U.S.-Russia Relations Under the New Trump Administration. Use of AI tools in Translation: Merits and Demerits. Coherence in Spontaneous Texts: The Use of Cohesive Devices by Law and Science Students. Genres Without Writers: Redefining Authorship, Creativity, and Literary Boundaries in the Age of AI. Understanding Early Diagnosis of Amyotrophic Lateral Sclerosis Using Next Gen-Techniques. A Comprehensive Analysis of Artificial Intelligence Based Human Robot Interaction for Healthcare Monitoring.