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The 2nd International Conference on Emerging Trends in Interdisciplinary Engineering Research (ICETIMER 2026) is a premier academic and professional gathering dedicated to exploring the evolving landscape of engineering research across multiple disciplines. Scheduled to be held virtually, this conference provides a dynamic platform for scholars, industry experts, researchers, and students from around the world to exchange innovative ideas, showcase breakthrough studies, and discuss forward-looking trends that are shaping the future of engineering.
ICETIMER 2026 emphasizes the importance of interdisciplinary collaboration in addressing the complex challenges of modern society. With engineering increasingly intersecting with domains such as artificial intelligence, renewable energy, data analytics, healthcare technology, automation, and sustainable infrastructure, the conference seeks to highlight research that integrates knowledge across fields to generate impactful solutions.
Key themes include advanced computing technologies, artificial intelligence and machine learning applications, smart automation, renewable energy systems, sustainable infrastructure, materials innovation, robotics, healthcare engineering, data analytics, and communication networks. The conference also embraces cross-disciplinary research linking engineering with life sciences, management, social sciences, and environmental studies, reflecting the growing need for integrated solutions in a rapidly evolving world.
ICETIMER 2026 invites contributions that advance theoretical knowledge, propose novel methodologies, or demonstrate practical implementations with societal impact. By encouraging research that bridges traditional disciplinary boundaries, the conference seeks to inspire innovation, promote sustainable development, and create a knowledge-sharing ecosystem that benefits academia, industry, and society at large. Through its inclusive scope, ICETIMER 2026 aims to nurture global collaboration, empower young researchers, and catalyze transformative ideas that address the pressing technological and societal needs of the 21st century.
| Sno | Papers Title | Author |
|---|---|---|
| 1. | AI and ChatGPT in Classrooms: Opportunities vs. Academic Integrity Concerns | Dr. Rajesh Kumar Sharma, Priya Nair |
| 2. | AI for Predictive Epidemic Modeling and Global Health Crisis Management | Dr. Amit Verma, Neha Gupta |
| 3. | AI in Space Exploration: Autonomous Decision-Making, Resource Optimization, and Extraterrestrial Sustainability | Dr. Suresh Patel, Kavya Shah |
| 4. | AI-Augmented Decision-Making in Complex Human Systems: From Healthcare to Governance | Dr. Rahul Mishra, Ananya Singh |
| 5. | AI-Augmented Climate Modeling and Geoengineering Optimization | Dr. Vivek Joshi, Pooja Agarwal |
| 6. | AI-Enabled Personalized Medicine and Genomic Engineering: Designing Individualized Treatments through Predictive Intelligence | Dr. Arvind Rao¹, Sneha Patil² |
| 7. | Powered Visual Intelligence for Cloud Infrastructure Monitoring: Image-Based Diagnostics in Data Center Environments | Madhava Rao Thota |
| 8. | AI-Powered Ocean and Atmospheric Modeling for Predicting Extreme Climate Events | Dr. Harish Menon, Nandini Iyer |
| 9. | Algorithmic Justice: Reducing Bias and Ensuring Fairness in Autonomous AI Decisions | Dr. Gaurav Khanna, Asha Menon |
| 10. | AI-Designed Materials and Nanotechnology for Next-Gen Engineering Applications | Dr. Vikram Singh, Swati Deshpande |
| 11. | Autonomous AI Governance Systems: Redefining Policy-Making, Ethical Oversight, and Global Decision-Making | Dr. Manoj Tiwari, Preeti Yadav |
| 12. | Edge AI for Real-Time Predictive Maintenance in Industrial IoT | Dr. Sanjay Kumar, Bhavana Rao |
| 13. | Human-AI Co-Creation in the Arts and Sciences: Collaborative Intelligence for Innovation | Dr. Kiran Babu, Anjali Menon |
| 14. | Integrating AI with Human Neurocognition: Brain-Computer Interfaces for Cognitive and Emotional Augmentation | Dr. Prakash Narayanan, Divya Krishnan |
| 15. | AI for Predictive Disaster Management and Crisis Response in Smart Cities | Dr. Rakesh Verma, Shreya Gupta |
| 16. | Zero-Shot Learning for Autonomous Vehicles Capable of Adapting to Unstructured Terrain | Dr. Anil Kumar, Meera Reddy |
| 17. | Adversarial Machine Learning Attacks on Cybersecurity Models and Defense Mechanisms | Dr. Shalini Gupta, Rohit Sharma |
| 18. | Autonomous Cyber Defense Using Self-Learning Intelligent Agents | Dr. Jayant Desai, Priyanka Patel |
| 19. | Cybersecurity Governance Challenges in Large-Scale Data-Driven Systems | Dr. Mahesh Chandra, Anusha Nair |
| 20. | Cybersecurity Implications of Generative AI and Large Language Models | Dr. Lakshmi Narayanan, Karthik Raj |
| 21. | Data Leakage Prevention Using Behavioral Analytics and AI | Dr. Ramesh Babu, Shruthi Iyer |
| 22. | Ethical and Legal Dimensions Of Offensive Cybersecurity Techniques | Dr. Sunita Agarwal, Nikhil Jain |
| 23. | Explainable AI–Based Cyber Defense Systems for Trustworthy Threat Detection | Dr. Venkatesh Rao, Pavan Kumar |
| 24. | Post-Quantum Cryptography Strategies for Enterprise and Cloud Security | Dr. Rekha Menon, Aditi Sharma |
| 25. | Privacy-Preserving Cybersecurity Using Federated Learning | Dr. Ashok Kumar, Deepika Singh |
| 26. | Regulatory-Compliant Cybersecurity Frameworks for Critical Infrastructure | Dr. S. Balakrishnan, Harini V |
| 27. | Detecting Cyber Attacks in Real Time Using AI-Based Network Monitoring | Dr. Pradeep Mishra, Komal Verma |
| 28. | Ethical Hacking Methods to Find Vulnerabilities in Cloud Computing Systems Using Hybrid and Intelligent Techniques | Dr. Naveen Kumar, Gayathri S |
| 29. | Protecting Internet of Things (Iot) Devices from Common Network Attacks | Dr. Subhash Chandra, Riya Kapoor |
| 30. | Ethical Hacking Approaches to Prevent Ransomware Attacks in Modern Networks | Dr. Senthil Kumar, Vaishnavi R |