Publications
T. Alade, R. Welch, A. Robinson and L. Nichol, Mobile Learning for Just-in-Time Knowledge Acquisition in a Workplace Environment, in Proc. 3rd International Conference on Information and Computer Technologies (ICICT), pp 198 - 204, March 2020.
T. Alade and Q. Z. Ahmed, Performance Comparison of Small Cell and Distributed Antenna Systems for In-Building Mobile Communications, in Proc. IEEE Veh. Technol. Conf. (VTC '19 (Spring)), pp. 1-5, March 2019.
T. Alade and H.Zhu, Indoor Distributed Antenna Systems for Multi-Storey Buildings, in Proc. IEEE Veh. Technol. Conf. (VTC '18 (Spring)), pp. 1-5, July 2018.
T. Alade, H.Zhu, H. Osman, J.Wang, Uplink Spectral Efficiency Analysis of In-Building Distributed Antenna Systems, IEEE, Trans., Wireless Commun. Vol. 14, No.7, July 2015.
T. Alade, H.Zhu, H.Osman, The impact of antenna selection and location on the performance of DAS in a multi-storey building, in Proc. IEEE Wireless Comm. and Net. Conf. (WCNC 2013), pp. 3213-3218, April 2013.
T. Alade, H.Osman, M.Ndula, In-Building DAS for High Data Rate Indoor Mobile Communication, in Proc. IEEE Veh. Technol. Conf., Yokohama, Japan (VTC '12 (Spring)), pp. 1-5, May. 2012.
T. Alade, H.Zhu, H. Osman, Spectral Efficiency Analysis of Distributed Antenna System for In-Building Mobile Communication, in Proc. IEEE, Globecom Commun. Conf., Houston Texas, 2011.
T. Alade, H.Zhu, H. Osman, Performance Analysis of Distributed Antenna System for High Building Wireless Communication, in Proc. IEEE Veh. Technol. Conf. (VTC '11 (Spring)), pp. 1-5, May 2011.
T. Alade, H.Zhu, H. Osman, Performance Evaluation of Distributed Antenna System for High Data Rate Wireless Communication, in Proc. IEEE PIMRC Conf. Toronto, Canada, pp. 1-5, Sept. 2011.
H. Osman, H. Zhu, T. Alade and D. Toumpakaris, Capacity of Distributed Antenna Systems in Multi-Floor Buildings, Workshop Globecom Houston, 2011.
H. Osman, H. Zhu and T. Alade, Wireless Distributed Antenna Systems in High Buildings, in Proc. IEEE Veh. Technol. Conf. (VTC '11 (Fall) San Francisco, pp. 1-5, Sept. 2011.
H. Osman, H. Zhu and T. Alade, Distributed Antenna Systems with Frequency Reuse, in Proc. IEEE PIMRC Conf. Toronto, Canada, pp. 1-5, Sept. 2011.
H. Osman, H. Zhu, T. Alade and J. Wang, Downlink Transmission of Distributed Antenna Systems in High Building Environments, in Proc. IEEE ICC Kyoto, pp. 1-5, 2011.
H. Osman, H. Zhu and T. Alade, Deployment of Distributed Antenna Systems in High Buildings, in Proc. IEEE Veh. Technol. Conf. (VTC '11 (Spring)), pp. 1-5, May 2011.
T. Alade, H.Zhu, H. Osman, Spectral Efficiency Analysis of Distributed Antenna Systems for In-Building Mobile Communication, in Proc. IEEE Global Telecomm. Conf. (Globecom 2011), pp. 1-5, Dec. 2011.
T. Alade, H.Zhu, J.Wang, Uplink Co-Channel Interference Analysis and Cancellation in Femtocell Based Distributed Antenna System, in Proc. IEEE ICC. Capetown pp. 1-5, 2010.
T. Alade, H.Zhu, J.Wang, Joint Signal Processing in Femtocell Based Distributed Antenna Systems in High Buildings, in Proc. IEEE Veh. Technol. Conf., Ottawa (VTC '10 (Fall)), pp. 1-5, Sept. 2010.
More information can be found via Google Scholar.
Research Themes & Current PhD Projects
Research Themes – PhD Research Opportunities with Dr Temi Alade
My current research is grouped into the following themes
- IoT: – Modelling and Evaluation of Internet of Things (IoT).
- Web / Mobile Computing: – Development and Evaluation of Web-based / Mobile Systems for Real-time Monitoring and Decision Making.
- Mobile Systems: – Design and Evaluation of Workplace Mobile Learning Systems.
- Mobile and Wireless Communication: – Performance Analysis of Mobile Communication Systems - 5G and beyond.
I am currently interested in supervising PhD students. All PhD applicants are invited to contact me when making an application. Researchers should please feel free to contact me for collaborative research projects.
Modelling and Evaluation of Internet of Things for Smart Cities
There is a growing interest in the application of Internet of Things (IoT) in every area of public life including health care, transportation, security, logistics, industrial control, energy and waste management and so on. The IoT is a novel cutting edge technology that enables connection and communication of physical objects, devices, data, processes and people over the internet to satisfy the needs of our everyday lives and improve living standard of citizens. Reports indicates that in the near future, trillions of devices will be connected to the internet, gathering and sharing data.
Smart and connected cities represent one of the most attractive areas for IoT innovations with potentials to tackle key challenges such as energy savings, crime reduction, road congestion reduction and effective service delivery for greater economic growth.
However, one of the main challenges that emerges in the IoT’s data gathering and sharing is how to process massive amounts of data emanating from surrounding objects in such a way that all stakeholders, end users and businesses can take full advantage of the available intelligence. This will require enabling IoT systems with capability to collaborate, learn, analyse and interact with people effectively.
The aim of this PhD research project is to model, prototype and evaluate an IoT platform that combines machine learning algorithms and data visualisation techniques which will allow for more intelligent data gathering, processing and decision making. It will involve developing skills in databases, data mining and analytics, information representation, and mobile/web application development in order to explore and deliver the next generation smart city experiences.