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Dr Omprakash Kaiwartya

Post-Doctoral Fellow

Department: Computer and Information Sciences

I am currently working as Post-Doctoral Fellow at the Department of Computer and Information Sciences, Northumbria University, Newcastle, UK. Prior to joining the Northumbria, I was working as a Postdoctoral Research Fellow at the Faculty of Computing, Universiti Teknologi Malaysia (UTM), MALAYSIA, in 2016. I received my Ph.D. degree in Computer Science and Technology from the School of Computer and Systems Sciences, Jawaharlal Nehru University, New Delhi, India in 2015. His current research interest focuses on Internet of Connected Vehicles (IoV), Electronic Vehicles (EV), and IoT use cases of Sensor Networks.

Campus Address

Room 219A
Pandon Building


+44 (0) 742 559 5278

Qualifications

  • Ph.D. in Computer Science & Technology,  Jawaharlal Nehru University, New Delhi, India
  • M.Tech. in Computer Science & Technology,  Jawaharlal Nehru University, New Delhi, India
  • B.Sc. in Computer Science & Mathematics,  Guru Ghansidas University, Bilaspur, India

Research Themes and Scholarly Interests

  • Internet of Vehicles (IoV): Architecture & Geo-Enabling Protocols, and Location Security 
  • Wireless Sensor Networks (WSNs): IoT use case Implementations towards protocol provisioning 
  • Electronic Vehicles (EV): Communication & Charging Management, Secure EV communications  

Key Publications

  • (Q1) Omprakash Kaiwartya, A.H. Abdullah, Y. Cao, J. Lloret, et al. “Geometry-based Localization for GPS Outage in Vehicular Cyber Physical Systems,” IEEE Transactions on Vehicular Technology, (October 2017, Accepted) 
  • (Q1) Omprakash Kaiwartya, A.H. Abdullah, Y. Cao, J. Lloret “Virtualization in Wireless Sensor Networks: Fault Tolerant Embedding for Internet of Things,” IEEE Internet of Things Journal, June 2017. Online Published. DOI: DOI: 10.1109/JIOT.2017.2717704
  • (Q1) Omprakash Kaiwartya, A.H. Abdullah, Y. Cao, et al. “Internet of Vehicles: Motivation, Layered Architecture, Network Model, Challenges and Future Aspects,” IEEE Access. Vol. 4, pp. 5356-5373, 2016.
  • (Q2) Omprakash Kaiwartya, A.H. Abdullah, Y. Cao, et al. “T-MQM: Testbed based Multi-metric Quality Measurement of Sensor Deployment for Precision Agriculture using Wireless Sensor Networks,” IEEE Sensors Journal, vol. 16, no.23, pp. 8649-8664, 2016.
  • (Q1) Y. Cao, Omprakash Kaiwartya, R. Wang, et al. "Towards Efficient, Scalable and Coordinated EV Charging Management”, IEEE Wireless Communication Magazine, 24(2), pp. 66-73, 2017.  (SCI Impact Factor: 4.148)
  • (Q1) Y. Cao, Houbing Song, Omprakash Kaiwartya, “Mobile Edge Computing for Big Data-Enabled Electric Vehicle Charging”, IEEE Communication Magazine, 2017, In Press. (SCI Impact Factor: 5.1)
  • (Q2) Y. Cao, W. Tong, Omprakash Kaiwartya, et al. “An EV Charging Management System Concerning Drivers' Trip Duration And Mobility Uncertainty,” IEEE Transactions on Systems, Man and Cybernetics: Systems, vol. PP, no. 99, 2016, (online published) http://ieeexplore.ieee.org/document/7756376/ (SCI Impact: 1.5)
  • (Q1) Y. Cao, S. Yang, G. Min, X. Zang, H. Song, Omprakash Kaiwartya and N. Aslam “A Cost-Efficient Communication Framework for Battery Switch Based Electric Vehicle Charging”, IEEE Communication Magazine, 55(5), pp. 162-169, 2017. (SCI Impact Factor: 5.1)
  • (Q1) Reena Kasana, Sushil Kumar, Omprakash Kaiwartya, Nauman Aslam, Jaime Lloret “Fuzzy based Channel Selection for Location Oriented Services in Multichannel Vehicular Cyber Physical Environments”, IEEE Internet of Things (Accepted November 2017)


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