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Noor Azurati Ahmad@Salleh

Noor Azurati Ahmad@Salleh

Head of Cyber-Physical Systems Research Group

Dr. Noor Azurati Ahmad@Salleh serves as a senior lecturer at Advanced Informatics School (UTM AIS), Universiti Teknologi Malaysia Kuala Lumpur. She obtained her B.Eng. in Computer Engineering in 2001 and Master of Electrical Engineering in 2006 from Universiti Teknologi Malaysia. She graduated with a PhD in Embedded Systems from University of Leicester in 2013. She is a Certified Tester Foundation Level (CTFL) under Malaysian Software Testing Board (MSTB) and Certified Professional for Requirements Engineering (CPRE) under International Requirements Engineering Board (IREB). She has also served as an engineer in Sapura Secured Technologies Sdn. Bhd under the Network Centric Operations (NCO) project. She involved in SIRIM qualification test for Sapura’s military products. She has 15 years of experience in teaching embedded system, microcontroller, microprocessor and real-time system courses and supervision of more than 10 undergraduates and 10 postgraduate students. She has 1 GoT graduated Phd student from Palestine, Dr Iyad Al-Shami who is now a lecturer in Unversity of Gaza. The work has recently been published in the SENSORS journal, Q1 ISI WoS publication (August 2017) entitled “Adaptive Indoor Positioning Model Based on WLAN-Fingerprinting for Dynamic and Multi-Floor Environments”. Currently, she has 4 Phd students (1 from Islamic University of Indonesia, Yogjakarta and 3 from Malaysia – MAMPU, Sapura and ANGKASA Space Malaysia). She is a member of Institute Electrical Electronic Engineer (IEEE), IEEE Computer Society and Registered Graduate Engineer with the Board of Engineers Malaysia (BEM). She has been actively involved in research related to Testing for Real Time Systems. One of her outstanding research focused on Implementation of Embedded Web Server for Mobile Robot Application (designed the minimal TCP/IP Stack), which was part of her Master’s degree project (2006) and it was the basic design for Internet of things (IoT) system development. Her main research interests include all areas of design, software architecture and testing for embedded real-time systems, Cyber-Pysical Systems (CPS), Internet of Things (IoT) and mobile and pervasive computing. Her current research explorations are on Smart City, Smart Campus, Indoor Positioning System and Green ICT. She invented 2 copyrights on Indoor Positioning Systems and published more than 18 publications in IoT, pervasive computing, embedded systems and wireless sensor network. Currently she actively involved in the high impact Cyber Evidence consultation project with Cybersecurity Malaysia, which is cost RM2.2 Millions.  She was appointed as the UTM AIS Entrepreneurial and Innovation Coordinator from 2015 until 2017. She successfully setup the AIS Incubator policy and generated more than RM20,000 income to UTM. She also managed to generate income through IoT, Big Data and Information Security short-courses and workshops for industry and academics. She received Anugerah Citra Karisma award in 2016.

At present, she is the head of Cyber-Physical Systems Research Group and has to manage more than 14 UTM AIS academics/researchers to achieve their required research KPIs.  

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Non-indexed Publlications

Sensors 201717(8), 1789; doi:10.3390/s17081789


Adaptive Indoor Positioning Model Based on WLAN-Fingerprinting for Dynamic and Multi-Floor Environments

Iyad Husni Alshami 1,2 ,Noor Azurati Ahmad 2 ,Shamsul Sahibuddin 2andFirdaus Firdaus 2,3

Department of Computer Science, Islamic University of Gaza, Gaza, Palestine
Advanced Informatics School (AIS), Universiti Teknologi Malaysia, Kuala Lumpur 54100, Malaysia
Department of Electrical Engineering, Islamic University of Indonesia, Yogyakarta 55584, Indonesia

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MDPI and ACS Style

Alshami, I.H.; Ahmad, N.A.; Sahibuddin, S.; Firdaus, F. Adaptive Indoor Positioning Model Based on WLAN-Fingerprinting for Dynamic and Multi-Floor Environments. Sensors 201717, 1789.

Q1 in Web of Science (INSTRUMENTS AND INSTRUMENTATION) with Impact Factor 2.677 :

Congratulations Dr Eyad! Q1 Publication in SENSORS Journal ISI Web of Science

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