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I primarily work on Generative AI and AI-driven networks and systems. I have worked toward proposing an architecture of Intent-based Networks (IBNs) and explored industrial use cases of IBNs. In this context, I have designed a mechanism for network management and querying using natural language. I have also investigated optimal network flow allocation in the context of industrial/power grid networks.
Previously, I have worked in the domain of Opportunistic Mobile Networks (OMNs), a subclass of Delay Tolerant Networks (DTNs). In OMNs, the nodes (typically carried by humans, e.g., smartphones) have intermittent connections, and usually lack in end-to-end communication paths. Consequently, the TCP/IP stack is ill suited for OMNs, and an entirely different set of protocols is to be investigated.
In my PhD thesis, I have explored different avenues of content dissemination in OMNs. These include unicasting, content searching, and disseminating local contents among others. SeeR, our proposed privacy-preserving and low-latency routing scheme for OMNs, has been published in IEEE TMC, whereas, CHARM, a proposed scheme for named content searching, has been published in IEEE CL. My thesis was supervised by Dr. Sudip Misra, who mentors the Smart Wireless Applications & Networking research group.
In my MS thesis (supervised by Dr. Sudip Misra and Dr. Debasis Samanta), I considered the effects of certain human aspects, such as innate intelligence and emotions, upon the performance of the network. As such, the otherwise mechanical nodes of a typical OMN evolve into supernodes, which are a combination of the mobile devices together with their human owner.
Additionally, I have also worked a bit related to online education technologies. You would find a few such publications in IEEE WCM and some other conferences.
A list of my selected publications till date is as follows:
Textbook
Journals
Conferences
Book Chapter
I am honored to serve as a referee for the following journals and conferences.