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Intelligent Information Systems Lab
Lab Supervision
Dr Sachin Kumar
Assistant Professor, Cluster Innovation Centre, University of Delhi.
Overview
IISL at Cluster Innovation Centre(CIC) is a place for enhancing students' skills and capacity in developing cutting-edge technologies in Artificial Intelligence, Big Data Analytics and their applications for solving societal problems. AI is transforming the world by integrating intelligence into machines, so it has tremendous implications in every sphere of our life. Lab envisions developing Data and AI-driven intelligent technological solutions to the real-world problems faced by society and the country at large. The Lab will be a place of extensive and rigorous experimentation to design more accurate and efficient AI algorithms, apply AI-driven software tools and develop Intelligent products and services. The Lab promote cutting-edge research, development, innovation and knowledge creation at the frontiers of the domain of AI and Its Applications. The main thrust of the Lab is to produce work to help India become a world leader in AI and solve its problems through AI in Atma Nirbhar Manner.
Objectives
- Planning and conducting experiments in core AI and applied AI domain and analyzing results to develop new products, processes or commercial applications.
- Applying appropriate AI methodologies for solving societal problems.
- Contributing to the public intellectual life and developing engaging tutorials in the AI domain.
Outcome
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Sachin, Kumar, Prabhat Gupta, Pradeep Natrajan. Quantification and Measurement of Relationship Between Movies and Actors for Production Resources Optimisation and Box Office Business Success: Insights and Reflections Using Network Science Approach. Social Network Analysis and Mining, 2024, IF=2.8, Springer.
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Sachin, Kumar, Gaurav Dubey, Shivam Goel, Alok Nikhil Jha, Ajit Kumar Verma, Kartikey Saran, Yashu Garg. A Novel Influence Quantification Model on Instagram Using Data Science Approach for Targeted Business Advertising and Better Digital Marketing Outcomes. Social Network Analysis and Mining, 2024, IF=2.8, Springer,.
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Manish Kumar Singh, Jawed Ahmed, Mohammad Afshar Alam, Kamlesh Kumar Raghuvanshi, and Sachin Kumar. A Comprehensive Review on Automatic Detection of Fake News on Social Media. Multimedia Tools and Applications, 2023, IF=3.1.
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Sachin, Kumar, Akash Erugurala, Ankit Kumar Bhagat, Amna Mirza, Alok Nikhil Jha, and Ajit Kumar Verma. A Novel Hybrid Model of Word Embedding and Deep Learning to Identify Hate and Abusive Content on Social Media Platforms. Frontiers of Artificial Intelligence, Ethics and Multidisciplinary Applications, Springer, 2024.
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Amna Mirza and Sachin Kumar. Personalisation and Customization of Governance Products and Services for Citizens Using Big Data Analytics and Artificial Intelligence. Augmenting Customer Retention Through Big Data Analytics, CRC Press, Routledge, ISBN: 9781774917213, 2023.
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Sachin Kumar. A Novel Hybrid Machine Learning Model for Prediction of CO2 using Socio-Economic and Energy Attributes for Climate Change Monitoring and Mitigation Policies. Ecological Informatics, 13, 2023, IF=5.1, Elsevier.
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Kumar et al. An Intelligent Model Based on Integrated Inverse Document Frequency and Multinomial Naive Bayes for Current Affairs News Categorisation, International Journal of System Assurance Engineering and Management 2021 Springer
Resources
- 8 Think Centre Lenovo Workstations
- 2 HPC Systems
Location
Room No 301, Third Floor, Cluster Innovation Centre, University Stadium, Univerisity of Delhi