Internet of Things
The research related to emerging technologies such as Internet of Things (IoT) holds paramount importance across the globe as of today.
Internet of Things (IoT)
Welcome to IoT
The IoT Research at NUST
NUST SEECS has launched a series of IoT events since August 2017, ranging from symposia, basic and advanced workshops to IoT research boot camp.
- Consequently, a number of smart solutions addressing the local problems have been developed.
- To advance IoT projects and to further extend the research in this domain, this dedicated lab came into being in August 2018.
Meet our TeamCollaborative Minds
Collaborative Minds
Introducing Our Team
Prof. Dr. Rafia Mumtaz
IoT Research Lead
Prof. Dr. Elena Gaura
IoT Research Co-Lead
Dr. Daud Abdullah
IoT Research Co-Lead
Mr. Ihsan Ul Haq
Embedded System Engineer
Ms. Mehreen
Machine Learning Expert
Mr. Shahbaz Baig
Remote Sesning & GIS Specialist
Ms. Uferah Shafi
AI and Machine Learning Lead
Mr. Muhammad Mahad Khaliq
Machine Learning Engineer
Mr. Jawad Bashir
Machine Learning Engineer
Mr. Abdullah
Embedded System Engineer
Mr. Arsalan Amin
Data Analyst
Mr. Muhammad Talha
Full Stack Engineer
Our Key Connections
Research
Research Projects
Publications
Patents
Research Projects
- Air Quality Monitoring Using Industry 4.0
- Multifaceted crop scouting using Industry 4.0
- Capacity Building for Digital Health Monitoring and Care Systems in Asia – DigiHealth-Asia
- Wheat Rust Disease Detection and Classification using an ensemble approach integrating IoT, Edge Computing, and Deep Learning
- Internet of Things (IoT) enabled surface water pollution detection for predictive healthcare
- Crop health monitoring and early warning system using Internet of Things (IoT) enabled precision agriculture
Publications
2023
- U. Shafi, Rafia Mumtaz, Muhammad Deedahwar Mazhar Qureshi, Zahid Mahmood, Sikander Khan Tanveer, Ihsan Ul Haq, Syed Mohammad Hassan Zaidi, “Embedded AI for Wheat Yellow Rust Infection Type Classification,” in IEEE Access, pp: 1-13, March 2023, IF: 3.476 doi: 10.1109/ACCESS.2023.3254430
- Muhammad Naqi Haider, Rafia Mumtaz, Syed Muhammad Hassan Zaidi, Crime Classification Using Machine Learning and Data Analytic, 2022 IEEE 19th International Conference on Smart Communities: Improving Quality of Life Using ICT, IoT and AI (HONET), December 19-21, 2022 [Published on IEEE explorer, 23rd January, 2023]
- Syed Mohammad Hassan Zaidi, Muhammad Annas Khan, Maham Iftikhar, Rafia Mumtaz, Parsa Rukhsar, Hafiza Zunera, Muhammad Abdul Aleem, “Quantum Internet: A Revolutionary Disruption”, 2022 IEEE 19th International Conference on Smart Communities: Improving Quality of Life Using ICT, IoT and AI (HONET), December 19-21, 2022 [Published on IEEE explorer, 23rd January, 2023]
- Uferah Shafi, Rafia Mumtaz, Zahid Mahmood, Muhammad Deedahwar Mazhar Qureshi, Raza Ullah Khan, Syed Ishtiaq Hyder and Sikander Khan Tanveer, [Accepted and presented] Assessment of Wheat Productivity Enhancement by Integrated Nutrient Management (INM) using Remote Sensing, IEEE International Conference on Machine Intelligence for GeoAnalytics and Remote Sensing (MIGARS), 2023
Patents
- AgriViU-Agri Vision Unit for Wheat Stripe Rust Disease Monitoring [Application No. 21299-D]
- Air Quality Monitoring and Predicting Service [Application ID: 2690/2021]
- CrasAir- Air Quality Monitoring Urban Unit [Application ID: 20386-D]
- AgriEye Mobile Unit [Patent # 20405-D]
- MAPTU – Mobile Atmospheric Pollutant Telemetry Unit [Patent # 20058-D]
- Livestock Monitoring Mobile Node [Application ID: 21008-D]
- Livestock Monitoring Fixed Node [Application ID: 21009-D]
- CroHMU-Crop Health Monitoring Unit [Application ID: 20452-D]
- SIEHS – Smart Indoor Environment Health Sensing PCB [Application # 20408-D]
- CroHMI- Crop Health Monitoring System using IoT [Application ID: 2020/990]