Research Overview
Data-Driven Science has demonstrated tremendous potential in solving numerous practical and real-world problems that exist in the scope of United Nations (UN) Sustainable Development Goals (SDGs). In my work, I take the opportunity to demonstrate applications of data science from the lens of societal need that simultaneously connect to the UN SDGs. Specifically, my work contributes towards creating smart cities and community by provisioning meaningful and sustainability-conscious next-generation network connectivity within cities in the United States that directly contribute towards UN SDGs 11 (sustainable cities and communities) and UN SDGs 13 (climate action). In my work, I primarily adopt empirical methods, computational social science approaches, and techniques from data science, machine learning, natural language processing, and game theory to investigate the following:- Does Information and Communication Technology (ICT) usage pattern vary across neighborhoods with contrasting yet pre-existing socio-economic structure specifically for 311 services?
- What are the suitable locations to geographically place sustainability aware micro data center at the edge of the network in diverse under connected and underserved geographic regions in cities with distinct profiles?
- Can we utilize this sustainable infrastructure to bridge digital divide?
- Can we gauge public interest about sovereignty on the digital domain?
- How to make these ICT enabled interoperable network (e.g., Blockchain) secure?
- How can we use ICT enabled digital platform (e.g., Social Media) to promote well-being, and as an enabler of societal decision making and accelerating societal good?
My research work is by design following numerous societal values: it is sustainability conscious, contribute to digital equity initiative, values engagement of public on online discussions and help create inclusive and equitable digital society. In addition, it could be beneficial both for the local-level resource allocation, societal decision making, and at the global level policy development.Note: Here, I have provided information only for the research which I have already published. It does not include any further information about the ongoing/in-submission work.Peer Reviewed Publications- Kuheli Sai *, Minh Nguyen *, Deepti Gupta, and Quang-Thinh Bui. "Cross-Country Analysis of Discourse on Misinformation in the Digital Platform Using Topic Modeling". Accepted for Publication and Inclusion in the Proceedings at the 7th IEEE International Conference on Cognitive Machine Intelligence (COGMI) 2025.
(* Equal Contribution)- Kuheli Sai and David Tipper. "Bridging NextG Network Connectivity Induced Digital Divide with Sustainable ICT". In Proceedings of 10th IEEE International Conference on Collaboration and Internet Computing (CIC) 2024 - Equitable and Inclusive Computing (EIC) workshop.
- Kuheli Sai and David Tipper. "Determining Digital Divide in Local-Level ICT Usage for 311 Civic Applications". In Proceedings of 14th IEEE Global Humanitarian Technology Conference (GHTC) 2024.
- Kuheli Sai and David Tipper. "Sustainability and Power Outage-aware Placement of Edge Computing in NextG RANs". In Proceedings of 32nd IEEE International Symposium on Technology and Society (ISTAS 2024) - Social Implications of Artificial Intelligence (AI).
- Kuheli Sai and David Tipper. "Gauging Public Interest in the Digital Sovereignty Domain: A Social Sensor Analysis". In Proceedings of 32nd IEEE International Symposium on Technology and Society (ISTAS 2024) - Social Implications of Artificial Intelligence (AI).
- Faris Alotibi, Alekhya Velagapudi, Akshay Madan, Kuheli Sai, Abhishek Viswanathan, Amy Babay, David Tipper, and Prashant Krishnamurthy. "The Impact of COVID-19 on Communication Network Outages." In 2022 18th International Conference on the Design of Reliable Communication Networks (DRCN), pp. 1-8. IEEE, 2022.
- Kuheli Sai and David Tipper. "Disincentivizing Double Spend Attacks Across Interoperable Blockchains." In Proceedings of 1st IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (TPS-ISA). 2019.