Internet of Things (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.

Our Team

Meet Our Research Team


Dr Rafia Mumtaz
Research Project Lead


Prof. Dr. Elena Gaura
Research Group Co-Lead

Dr. Daud Abdullah
Research Group 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
 

Our Projects

Air Quality Monitoring Using Industry 4.0

Multifaceted crop scouting using Industry 4.0

Digital Health Monitoring and Care Systems

Crop health monitoring and early warning system

Internet of Things Research

  • 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
  • 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
  • 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]