Digital Solutions for Smart City via the Internet of Things
Overview
Over the past few years, the research and development of digital infrastructure has been progressing aggressively to support the global growth. Smart City has become one of the catalyst that demand effective digital infrastructure solutions. Therefore, the focus of this research group is to develop techniques and applications for Smart Cities via the Internet of Things (IoT). The IoT allows things (including people) to transfer data over a network without requiring human-to-human or human-to-computer interaction. Research areas that are covered by this group include Big Data, Image and Signal processing, Embedded Systems, Sensor Networks and Information Security. The research are expected to offer cities with better infrastructure and environment management, healthcare systems, public security, traffic management etc.
Why research in Smart City?
In the future, cities will account for nearly 90% of global population growth. By the year 2050, at least 100 new cities will be populated by more than one million residents. The large population growth desperately needs scientific understanding of cities that could balance social, economic and environmental resources. Our work will help to create and maintain a balance of work and life in society.
How doing Master/Phd in this field would benefits you?
By joining the research team, you will be exposed to the current technologies and practical aspects of building smart cities via IoT. You will be involved in one of the largest device market in the world with global IoT market size is projected to reach USD 650.5 Billion in 2026 from USD 300.3 billion in 2021, at a CAGR of 16.7% during the forecast period.
Overview
Over the past few years, the research and development of digital infrastructure has been progressing aggressively to support the global growth. Smart City has become one of the catalyst that demand effective digital infrastructure solutions. Therefore, the focus of this research group is to develop techniques and applications for Smart Cities via the Internet of Things (IoT). The IoT allows things (including people) to transfer data over a network without requiring human-to-human or human-to-computer interaction. Research areas that are covered by this group include Big Data, Image and Signal processing, Embedded Systems, Sensor Networks and Information Security. The research are expected to offer cities with better infrastructure and environment management, healthcare systems, public security, traffic management etc.
Why research in Smart City?
In the future, cities will account for nearly 90% of global population growth. By the year 2050, at least 100 new cities will be populated by more than one million residents. The large population growth desperately needs scientific understanding of cities that could balance social, economic and environmental resources. Our work will help to create and maintain a balance of work and life in society.
How doing Master/Phd in this field would benefits you?
By joining the research team, you will be exposed to the current technologies and practical aspects of building smart cities via IoT. You will be involved in one of the largest device market in the world with global IoT market size is projected to reach USD 650.5 Billion in 2026 from USD 300.3 billion in 2021, at a CAGR of 16.7% during the forecast period.
If you interested to further your study in this area, please contact us.
Academic Member
| Prof Dr Mohd. Yamani Idna Idris (yamani@um.edu.my) | FCSIT, University of Malaya, Malaysia | Image and Signal Processing, Embedded Systems (FPGA, SoC), Sensor Networks, IoT Security and Safety. |
| Associate Prof Dr Ainuddin Wahid Abdul Wahab | FCSIT, University of Malaya, Malaysia | Digital Forensic, Steganography, Information Security |
| Prof Dr Hamzah Arof | Engineering, University of Malaya, Malaysia | Image and Signal Processing, Photonics |
| Dr Zaidi Razak | FCSIT, University of Malaya, Malaysia | System on Chip |
| Noorzaily Mohamed Noor | FCSIT, University of Malaya, Malaysia | Arithmetic and Logic Structure, Detection and Estimation |
| Emran Mohd Tamil | FCSIT, University of Malaya, Malaysia | Signal Analysis and Processing |
| Associate Prof Dr Ismail Ahmedy | FCSIT, University of Malaya, Malaysia | Sensor Network |
| Dr. Roziana Ramli | Computer & Information System, Northumbria University, Newcastle | Image and Signal Processing, Cloud Computing |
| Associate Prof Dr. Tey Kok Soon | FCSIT, University of Malaya, Malaysia | Power Engineering, Embedded System, Instrumentation and Control |
Associate Member
Dr Ahsiah Ismail (Malaysia)
Dr Ammar Abu Znaid (Palestine)
Alireza Akhavi (Iran)
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