Track 1: Mathematics for Artificial Intelligence and Machine Learning

Track 2: Computational Geometry in Robotics and Visualization

Linear Algebra and Optimization for Machine Learning

Path Planning Algorithms in Robotics

Probabilistic Models and Bayesian Inference in AI

Convex Hulls and Collision Detection Techniques

Differential Equations for Neural Network Training

Voronoi Diagrams and Delaunay Triangulations in Autonomous Navigation

Graph Theory in Graph Neural Networks

3D Mesh Processing and Visualization for Robotics

Topology-Based Machine Learning Techniques

Computational Topology in Sensor Networks

Mathematical Analysis of Learning Algorithms

Geometric Optimization for Visual Simultaneous Localization and Mapping (SLAM)

Game Theory in Multi-Agent Reinforcement Learning

Real-Time Geometry in Augmented and Virtual Reality Systems

Sparse Representations and Compressive Sensing in AI

Track 3: Cryptography and Blockchain Technologies

Track 4: Topological Data Analysis for Big Data

Post-Quantum Cryptography Algorithms

Persistent Homology for Feature Extraction

Zero-Knowledge Proofs in Blockchain Systems

Topological Methods in High-Dimensional Data Analysis

Secure Multi-Party Computation for Decentralized Applications

Applications of Mapper Algorithms in Big Data Visualization

Blockchain Scalability and Consensus Protocols

Topological Descriptors in Machine Learning Pipelines

Cryptographic Hash Functions for Data Integrity

Using Betti Numbers for Data Clustering and Classification

Privacy-Preserving Blockchain Technologies

Scalability of TDA Techniques for Large Datasets

Smart Contract Security and Formal Verification

Integrating TDA with Deep Learning Architectures

Track 5: Internet of Things (IoT) in Smart Cities

Track 6: Sustainable Engineering Practices

IoT-Enabled Traffic Management and Optimization

Lifecycle Assessment for Sustainable Product Design

Smart Grid Technologies and Energy Management

Renewable Energy Integration into Urban Infrastructure

IoT Security and Privacy in Urban Environments

Circular Economy Strategies in Engineering

Wireless Sensor Networks for Environmental Monitoring

Low-Carbon Construction Technologies

IoT-Based Public Safety Systems

Water Resource Management Through Sustainable Engineering

Interoperability Standards for Smart City IoT Platforms

Energy-Efficient Building Design and Retrofitting

AI-Powered IoT Analytics for Urban Planning

Engineering Education for Sustainability

Track 7: Structural Health Monitoring Using AI

Track 8: Human-Computer Interaction: Emerging Trends

AI-Based Predictive Maintenance for Infrastructure

AI-Driven User Interface Personalization

Sensor Technologies for Real-Time Structural Monitoring

Haptics and Multi-Sensory Feedback Systems

Machine Learning Algorithms for Anomaly Detection in Structures

Usability Testing in Immersive Virtual Reality Environments

Big Data Analysis for Long-Term Structural Performance

Adaptive Interfaces for Accessibility and Inclusion

Computer Vision in Crack Detection and Analysis

Brain-Computer Interface Development and Applications

IoT and AI Integration in Smart Infrastructure Monitoring

Conversational Interfaces and Natural Language Processing

Case Studies: AI in Bridges, Dams, and High-Rise Buildings

Ethical Implications of AI in HCI

Track 9: Quantum Algorithms for Computer Science

Track 10: Machine Learning and Deep Learning Advances

Quantum Machine Learning Algorithms

Federated Learning for Privacy-Preserving AI

Shor's Algorithm for Cryptanalysis and Beyond

Transformers and Their Applications Beyond NLP

Grover’s Algorithm and Quantum Search Applications

Graph Neural Networks for Structured Data Analysis

Variational Quantum Algorithms for Optimization Problems

Transfer Learning and Domain Adaptation Techniques

Quantum Algorithms for Graph-Based Computations

Advances in Explainable AI and Interpretability

Error Mitigation Strategies in Noisy Quantum Algorithms

Reinforcement Learning for Complex Decision-Making

Quantum Advantage in Artificial Intelligence

Neural Architecture Search for Optimized Deep Learning Models

Track 11: Intelligent Systems & Data Analytics

Track Chair(s): Dr. Nidhi Srivastava, Dr. Pratibha Maurya

Affiliation: Amity Institute of Information Technology, Amity University, Uttar Pradesh, Lucknow

Track 12: Emerging Adaptive Deep Learning Technologies for a Smarter and Sustainable Future

Track Chair(s): Dr. Astha Gupta, Dr. Durgesh Srivastava

Track 13: Generative Artificial Intelligence: Recent Trends and Applications

Track Chair(s): 1. Dr. Bhoopesh Singh Bhati, 2. Dr. Dimple Tiwari

Affiliation: 1. Indian Institute of Information Technology, Sonepat, India; 2. School of Engineering & Technology, Vivekananda Institute of Professional Studies - Technical Campus, Delhi-110034, India

Track 14: Next-Gen AI: Transforming Emerging Technologies

Track Chair(s): Dr. Damandeep, Dr. Suhasini, Dr. Priyanka

Track 15: Generative AI Across Domains: From Text to Vision

Track Chair(s): Dr. Richa Singh, Dr. Gaurav Srivastav, Dr. Nidhi Srivastava

Affiliation: Amity Institute of Information Technology, Amity University, Uttar Pradesh, Lucknow

Track 16: Machine Learning and Deep Learning in Healthcare: Intelligent Systems for Diagnostics, Prognostics, and Precision Medicine

Track Chair(s): Dr. P. Saranya, Dr. M. Anousouya Devi

Affiliation: Department of Computational Intelligence, SRM Institute of Science and Technology, Kattankulathur Campus

Track 17: AI-Driven Sustainable Intelligence: Advances in Deep Learning, Federated Learning and Medical Robotics for Smart Healthcare and Agriculture

Track Chair(s): Dr. Prabhnoor Bachhal, Dr. Monica Dutta, Dr. Vatsala Anand

Affiliation: Chitkara University; GLA University, Mathura; Akal University, Bathinda

Track 18: Large Language Models in AI: Innovations, Challenges, and Applications

Track Chair(s): Dr. S. Uma, Dr. G. Tamilmani

Affiliation: SRM Institute of Science and Technology

Track 19: Next-Generation Data Science and Cognitive Systems for Intelligent Innovation

Track Chair(s): Dr. M. Sindhuja, Dr. Vishalakshi

Affiliation: Assistant Professor, Department of Data Science and Business Systems, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu 603203