Available Projects

UoM–IITKgp PhD projects

To apply for one of these projects, please contact the lead academics from both institutions to discuss the opportunity.

Project Title: Guaranteeing quality of crowdsourcing public transportation run-time information

UoM participants

Stephan WinterMartin Tomko

IITKgp participants

Sandip Chakraborty (sandipc@cse.iitkgp.ernet.in), Niloy Ganguly (ganguly.niloy@gmail.com)

Project summary

Crowdsourcing public transportation run-time information is a promising approach in the absence of authoritatively provided run-time information. However, crowdsourcing suffers from data quality issues (inhomogeneous coverage). This project will investigate the impact of inhomogeneous coverage, and search for countermeasures such as learning from history or incentivizing in real-time, in order to guarantee certain levels of information quality.


Project Title:  Software Defined Networks for Internet of Things

UoM participants

Prof Marimuthu Palaniswamy, Dept of Electrical and Electronic Engineering

IITKgp participants

Prof Sudip Misra

Project summary

SDN and IoT are presently two growing verticals. However, there are lots of use cases, which can benefit from the application of SDN to IoT. There are patches of work worldwide on this issue. The nature of challenges in the integration of these two technologies brings in lots of research opportunities.

Resource requirement/availability

Labs/softwares. We have some very basic infrastructure on IoT. There is lot of infrastructure requirement. Details need to be worked out.

Project Title: Real-time Internet of Things (IoT) for Smart Transportation Applications

UoM Staff

Marimuthu Palaniswami, Tansu Alpcan, Aravinda Rao

IIT Kharagpur Staff

Goutam Das

Project Summary

The real-time IoT applications have stringent delay requirements when implemented over distributed sensing and communication networks. Their finite-time performance matters much more than asymptotic results in the literature. A good illustrative example is smart traffic control, where sensor-laden vehicles pass through intersections by communicating and remaining at a safe distance from each other, rather than grinding to a halt at traffic lights. Thanks to increased investment in smart city infrastructure and projected penetration of autonomous vehicles, smart intersections are expected to replace traditional traffic lights and become prevalent in the immediate future. Safe and efficient operation of such systems requires control actions to be taken by each system agent, i.e., automated vehicles and road side units, within fraction of a second under local communication and computing limitations. The IoT agents in this scenario clearly must attain global objectives of safety and efficiency in real time.

The overarching aim of the project is to develop new practical algorithms for real-time IoT applications and to investigate novel methods for describing their performance in a finite time.  This project aims to investigate fundamental performance guarantees of real-time IoT systems using methodology from networking, optimisation, game theory, and information theory. The project addresses the above mentioned two challenges through (i) the derivation of performance bounds of finite-time algorithms under communication and computing limitations; (ii) the development and analysis of novel real-time algorithms within these bounds for efficient allocation of limited resources considering incentives and minimum performance constraints.