MUMBAI, India, Oct. 5 -- Intellectual Property India has published a patent application (202611100968 A) filed by Dr. Sonika Kandari; Dr. Sana Hemavathi; Dr. Tanguturu Sireesha; Dr. Pooja Kumari; Dr. Kanak Singh; Dr. Ankita Kumari Dhaker; Prof. Sujata Ramesh Pudale; Dr. Abhijeet Chatterjee; Dr. M. Lakshmi Naga Nandini; Dr. Naadir Kamal; Dr. Kamatam Kiran; Dr. Simarpreet Kaur; Dr. Amit Kumar Pal; Dr. Sougata Majumder; and Ms. Priyanka Dhar on August 20, 2026, for Universal Artificial Intelligence-Based Integrated Decision Intelligence Platform For Academic, Financial, Administrative, And Cyber Security Management For Multidisciplinary Research.
Inventors include Dr. Sonika Kandari; Dr. Sana Hemavathi; Dr. Tanguturu Sireesha; Dr. Pooja Kumari; Dr. Kanak Singh; Dr. Ankita Kumari Dhaker; Prof. Sujata Ramesh Pudale; Dr. Abhijeet Chatterjee; Dr. M. Lakshmi Naga Nandini; Dr. Naadir Kamal; Dr. Kamatam Kiran; Dr. Simarpreet Kaur; Dr. Amit Kumar Pal; Dr. Sougata Majumder; and Ms. Priyanka Dhar.
The application for the patent was published on October 02, 2026, under issue no. 40/2026.
Abstract: The present invention relates to a universal artificial intelligence-based integrated decision intelligence platform configured to support academic, financial, administrative, research, and cyber security management within multidisciplinary educational and research organizations. The platform integrates heterogeneous institutional data originating from academic information systems, learning management systems, financial management systems, human resource systems, research management systems, admission and examination systems, infrastructure databases, communication systems, and cyber security monitoring systems. The invention employs an artificial intelligence engine comprising machine learning, deep learning, natural language processing, predictive analytics, anomaly detection, knowledge graphs, recommendation algorithms, explainable artificial intelligence, and risk-scoring mechanisms to transform distributed institutional data into actionable decision intelligence. A multidisciplinary research intelligence module enables discovery, classification, collaboration, researcher matching, research-project monitoring, publication analytics, patent analytics, grant opportunity identification, citation analysis, and interdisciplinary knowledge mapping. A financial intelligence module predicts expenditure, revenue, budget utilization, financial anomalies, and resource requirements. An academic intelligence module analyzes student performance, attendance, curriculum effectiveness, examination outcomes, faculty workload, and academic risk. An administrative intelligence module provides automated workflow optimization, resource allocation, compliance monitoring, and institutional performance assessment. A cyber security intelligence module detects anomalous behavior, unauthorized access, suspicious transactions, data-security risks, and potential cyber threats. The platform further comprises a unified decision dashboard, role-based access control, privacy-preserving data processing, explainable decision support, automated alerts, scenario simulation, and a recommendation engine. The invention thereby provides an integrated environment capable of generating predictive, prescriptive, and risk-aware recommendations for institutional decision-makers while maintaining security, accountability, and auditability. The invention provides a universal artificial intelligence-based integrated decision intelligence platform for academic, financial, administrative, research, and cyber security management. The platform integrates heterogeneous institutional data through a secure data acquisition and processing architecture and constructs a multidisciplinary institutional knowledge graph. An AI decision engine comprising machine learning, deep learning, natural language processing, predictive analytics, anomaly detection, graph analytics, recommendation algorithms, optimization techniques, and explainable AI analyzes the integrated data. Domain-specific modules provide academic risk prediction, financial forecasting and anomaly detection, administrative workflow optimization, multidisciplinary research collaboration intelligence, research opportunity identification, and cyber security threat detection. A recommendation engine generates predictive and prescriptive decisions with confidence and risk scores, while a scenario simulation engine evaluates alternative institutional decisions. A secure role-based dashboard provides actionable intelligence to authorized users. The system further employs audit mechanisms, privacy-aware processing, access control, and feedback-driven model improvement, thereby providing an integrated and scalable decision intelligence environment for multidisciplinary educational and research organizations.
Disclaimer: Curated by HT Syndication.
