SI in MDPI Electronics on Vehicular Communications

SI in Wiley ETTT Journal on Internet of Connected Vehicles

SI in MDPI Applied Sciences on Soft Computing and Applications

Powering Innovation with Industries

I am collaborating with a number of companies and universities for empowering innovation via academic research expertise. Some of our current partners in innovation projects include Franklin Energy ( Clean Car ( JMVL (, University College London, Newcastle University, Kings College London, University of York, University of Nottingham, Loughborough University, Lancaster University, and the University of Surrey.

1. DECIDE- Data-Enabled Coordinated Infrastructure Development for E-Mobility

This project aims to design a new freight delivery system, which will remove a significant proportion of the large goods vehicles that currently use and pollute the roadways of Manchester. It proposes greater utilization of the canal network, with clean final mile delivery systems, to deliver goods into Manchester (see below Figure). The project includes the following major partners:

  • Cleancar
  • Nottingham Trent University
  • Manchester Metropolitan University

2. Innovate-EV: UK-India Research Network on Smart and Green Mobility

The core objective of the Innovate-EV project is to foster UK-India research collaboration towards EV centric smart and green mobility. The expertise centric research collaboration consists of three working groups including vehicular communication for EV charging management, optimization of charging infrastructure planning, and data analytics for traffic prediction. (see below Figure). Specifically, a connected vehicle-centric software simulation model will be developed for EV charging infrastructure planning and management focusing on the traffic dynamics. The three interdisciplinary research themes will bring innovative ideas and new knowledge concerning the mass market penetration of EVs in the near future. The project includes the following major partners:

  • Franklin Energy
  • Nottingham Trent University
  • IIIT Delhi

3. AI-Enabled Big Traffic Data-Centric Vehicular Fog Computing for Smart Cities

Today’s vehicles are not standalone mechanical means of transportation, rather also have some form of computing and communication capabilities. These capabilities are being advanced and powerful day-by-day enabled via the growing number of embedded system components attached towards intelligent automation of vehicles. Thus, the vehicles can be considered as on the move computing systems. Towards this end, in this project, we propose an innovative idea “Big Traffic Data-centric Vehicular Fog Computing Framework for Smart Cities”. Basically, the idea is to harness the computing capability of a geographically close group of vehicles such as at parking space near offices, shopping centres, train stations, residential areas, and at on-road junction points (see below Figure, vehicular fogs or fog banks (FB)). The project includes the following major partners:

  • Newcastle University
  • Nottingham Trent University
  • City Councils of Nottingham and Newcastle

4. Software-Defined Drone Traffic Management System and Nano Drones

This is a Tnowledge Transfer Partnership (KTP) project targating to empower research and development activities in drones centric business opportunities. The project will develop a software platform for effectively managing non-conflicting travel paths for a group of drones in any predefined 3D volume of sky (see below Figure). The project includes the following major partners:

  • JMVL London
  • Nottingham Trent University

5. TRACE:Secured nexT geneRation self-manAged inter-ConnectEd mobility

The aerial and ground mobility management is going to be a big challenge for smart city administrators and third-party service providers. This is due to the emerging transformation of personal and public mobility solutions towards connected mobility including connected autonomous cars (CAV), electric vehicles (EV), unmanned aerial vehicles (UAV), drones, dockless bikes, and electric bikes, etc.. The growing automated and connected traffic environments require on-road mobility management due to the space-constrained limited road infrastructure in smart cities. The on-road mobility management heavily relies on precise and secure location management or point of interest (PoI) management. Similarly, the recent advances in UAV and drone technologies enable personal and public aerial mobility over the space in smart cities. The aerial mobility in smart cities require 3D aerial mobility management system. Moreover, the on-road and aerial mobility management would be impossible without a deadline-driven real-time vehicular communication system. Therefore, the key challenges for future mobility management include PoI management for on-road mobility, 3D path management for aerial mobility and real-time vehicular communication for both on-road and aerial mobility. (see below Figure). The project includes the following major partners:

  • Doneeen London
  • University College London
  • Nottingham Trent University