International Conference on Recent Trends in Inter Disciplinary Innovations bridging Computer Science and Life Science

• Artificial Intelligence & Machine Learning: Deep Learning Techniques -Reinforcement Learning – AI in Healthcare, Finance, and other sectors.

• Cybersecurity: Quantum Cryptography- Biometric Security- IoT Security- AI-driven Threat Intelligence – Quantum Computing.

• Quantum Algorithms: Quantum Hardware – Implications for Classical Systems -Blockchain & Distributed Ledger Technologies.

• Smart Contracts: Blockchain in Supply Chain – Cryptocurrencies and Financial Systems -Cloud, Fog, and Edge Computing.

• Decentralized Systems: Latency and Real-time Processing – Security in Edge Devices.

• Augmented Reality, Virtual Reality & Mixed Reality (AR/VR/MR).

• Immersive Education: Medical Applications- Gaming and Entertainment -IoT & Smart Systems.

• Smart Cities: Industrial IoT – Home Automation – Networking and Communications.

• 6G and Future Networks: Software-defined Networks – Satellite Communication -Robotics and Automation.

• Human-robot Interaction: Robotic Process Automation (RPA) -Drones and Unmanned Systems – Sustainable & Green Technologies.

• Green Computing: Energy-efficient Architectures – IT in Renewable Energy Solutions – Human-Computer Interaction (HCI).

• Gesture-based Computing: Voice User Interfaces – User Experience Design in Modern Apps – Data Science & Big Data.

• Real-time Data Processing: Predictive Analytics- Data Privacy and Ethics – Software Engineering & DevOps

• Genomic Data Analysis: Protein Structure Prediction -AI in Drug Discovery -Digital Ethics & Governance.

• Regulation of AI and Automation: Digital Privacy Rights -Ethical Considerations in Big Data – Organizers.

• Bioinformatics and Computational Biology

• Biomedical Imaging and Signal Processing

• Healthcare Informatics and Data Analytics

• Artificial Intelligence (AI) in Life Sciences

• Computational Modelling in Biological Systems

• Bio inspired computing and algorithm

• Ethical and Social implications of interdisciplinary research

• Interdisciplinary collaborations and education