Associate Prof. Dr. Mohd Amiruddin Abd Rahman

» Associate Prof. Dr. Mohd Amiruddin Abd Rahman

Dr. Mohd Amiruddin Abd Rahman
Associate Professor

Office Location: 213 Physics A Building
Phone: +603-97696676
Email: mohdamir@upm.edu.my
Personal Page: https://sites.google.com/upm.edu.my/amir

Education Backgrounds

PhD. (Wireless Communication), Co-tutelle - University of Sheffield, UK and Universiti Putra Malaysia
MSc. (Sensor and Instrumentation), Universiti Putra Malaysia
BSc. (Electrical Engineering), Purdue University, US

Profile

Dr. Abd Rahman is an Associate Professor of Data Science at Department of Physics Universiti Putra Malaysia. During his PhD studies, he worked on developing new algorithms for multi-floor indoor localization system and also proposing new approach in indoor localization system based on WLAN. He has also joined Alcatel-Lucent Bell Labs (now Nokia Bell Labs), Dublin, Ireland as a post-graduate research intern to carried out research and working with research team on co-localization and tracking algorithm for WLAN networks. He has also served as an invited researcher in Bell Labs Antwerp, Belgium to apply the localization system for Bell-Labs Future-X day.

In 2019, he has been attached to the Indian Institute Technology Kanpur, India, as a Postdoctoral Fellow working on peer-to-peer networks. He has also served multiple positions in Ministry of Education and Higher education, Malaysia such as technical committee for Smart Data Project and technical workforce for Big Data Project between 2019 to 2021. I am also a Fellow of CEO@Faculty at the ministry of Higher Education where he has been placed in National Instruments Penang, Malaysia in 2018.

He is currently the Head of Data Science research group in UPM. His current research interest is within the field of machine learning and artificial intelligence where I have published more than 40 high impact articles in the area. My other research interests includes signal processing, pattern recognition/ matching/ prediction, machine learning algorithms, electromagnetics-related computation and modelling and RF and microwave based sensor system.

Current Research(s) & Project(s)

Indoor Localization & Positioning

The research in the area mainly consists on development of new or improved algorithm of localization system. Additionally, the localization system could be in the passive mode where the localization of the object is used to automate or give indicator to other electrical system. The research may also include improvement of localization system based on hardware approach or implementing localization system using other technology such as inertial sensor, wireless sensor networks, barometer, and magnetometer. A latest reseach in this area is considering a single imaging device to help public doing own localization and tracking without burden on the mobile device computation.

Artificial Intelligence, Deep and Machine Learning, and Big Data Analytics

Big data from various sources such as consumer-related data, transportation data, statistical data could provide a valuable information for the industries or government to predict the future of the production and growth of the company or country. Pattern recognition is a good tool to be used to classify this sort of data to be a meaningful data and could be applied for the aforementioned purpose. On the other hand, this could also be applied to small-scale data which could provide future prediction for a newly developed sensor system. Additionally, machine learning algorithm is a superior technique to classify such data.

Internet of Things (IoT) Applications

This is a current research area that are in demands for fully autonomous system to be developed. Project can range from smart sensor developments, embedded algorithms, and fully functional systems. Applications includes agriculture, vehicles, and biomedical applications.

UAV Based Deep Imaging and Informatics

UAV based imaging and surveying is one of a powerful device for remote and unmanned surveilance and detection. UAV based research are made more meaningful by computation of useful image dataset for detection and classification of interested object. Particular objects could include agricultural crops, traffic, and terrain. Current research are related to autonous detection and classfication using UAV.

He constantly looks for talented researcher (MSc, PhD, Post-Doc, Visiting Researcher) to join the research group. If you would like to contribute, please send your enquiries to mohdamir@upm.edu.my for quick response.

Current Funding(s)

FUNDING RECEIVED – PRINCIPAL INVESTIGATOR
NO.	PROJECT TITLE	GRANT TYPE & SPONSOR	AMOUNT (RM)	DURATION (STATUS)
1.	Novel Indoor Localisation Algorithms Based on Magnetic Flux Density and Fusion with Wireless Local Area Network (WLAN) Signal	Fundamental Research Grant Scheme (FRGS) - Ministry of Higher Education Malaysia	81,200.00	August 2017- August 2019 (Completed)
2.	Optimized Wireless Localization and Tracking in Internet of Things Network	Department of Science and Technology, Government of India	19,950.18	October 2019 – April 2020 (Completed)
3.	Development of Machine Learning Algorithm for Improved Lattice Constant Model of Pyrochlore Compound	Geran Putra IPM - Universiti Putra Malaysia	37,000.00	December 2020-December 2022 (On-Going)
4.	Hybrid Algorithmic Game Theory and Machine Learning for Optimal Pricing Mechanism of Cash Crop Trading	Fundamental Research Grant Scheme (FRGS) - Ministry of Higher Education Malaysia	136,100.00	November 2020-October 2023 (On-Going)
Total Amount			274,250.18

FUNDING RECEIVED – CO-INVESTIGATOR
NO.	PROJECT TITLE	GRANT TYPE & SPONSOR	AMOUNT (RM)	DURATION (STATUS)
1.	Low contrast detectability and diagnostic accuracy of Computed Tomography imaging system via Intrinsic Performance Metrics Framework	Fundamental Research Grant Scheme (FRGS) - Ministry of Higher Education Malaysia	139,800.00	November 2020 -October 2023
2.	Radiomic Features of Hepatocellular Carcinoma via stable 3-D printed Anthropomorphic Phantom	Geran Putra Berimpak – Universiti Putra Malaysia	122,200.00	August 2021 – March 2024

Supervision

POSTGRADUATE STUDENTS
DEGREE	ROLE	NAME	THESIS/PROJECT TITLE	STATUS
PhD	Chairman	Alade Ibrahim Olanrewaju	Predictive modelling of nanofluid thermophysical properties using Machine Learning	Graduated (Date: 12 Aug 2021)
	Chairman	Caceja Elyca Bundak	Application Of Game Theory and Machine Leaning In Determining Real ROI Potential Of Farmers By Disrupting Middleman Market	On-Going
	Chairman	Abdul Rashid Ramadan	Time Synchronization In Wireless Sensor Networks	On-Going
	Chairman	Muhammad Luqman Arif bin Mohamad	Indoor Positioning Using Deep-Learning Neural Networks	On-Going
	Chairman	Srie Azrina binti Zulkeflie	Assistive Indoor Navigation Application For Visually Impaired Person	On-Going
	Member	Ibrahim Ismaila Lakin	Development Of Polylactic Acid Filled with OPEFB Fiber, Activated Carbon and MWCNTs Composites Used As The EMI Shielding Materials	Graduated (Date: 12 Aug 2021)
	Member	Mohamad Asmawi bin Mohamad Ariffin	Highly Efficient Computed Tomography Imaging System Through Intrinsic Performance Metrics Measurement	On-Going
	Member	Zarina binti Ramli	Radiomics Analysis and Machine Learning Model for Classification Of Cervical Cancer Dwi-MRI Images	On-Going
MSc	Chairman	Caceja Elyca Bundak	Indoor Positioning Using Weighted Magnetic Field Signal Distance Similarity Measure and Fuzzy- Based Algorithms	Graduated (Date: 11 Nov 2021)
	Chairman	Nur Athirah binti Mohd Shazali	Hybrid Algorithm for Badminton Tournament on Athlete's Score Prediction	On-Going
	Member	Ahmad Khamis	Development Of Epoxy-OPEFB Composites for Shielding Applications	Graduated (Date: 6 May 2019)
	Member	Siti Fairuz bt Mat Radzi	Effectiveness Of Tree-Based Pipeline Optimization Tools and Grid Search Method in Breast Cancer Prediction	Graduated (Date: 10 Feb 2022)
	Member	Nadhirah Aidil binti Zulkafli	Device Performance Prediction of Inverted Organic Solar Cells Using Machine Learning Model	On-Going
	Member	Akmal Arif bin Nasruldin	Simulation And Development of Force Detection System By Using PDMS-Based Magnetorheological Elastomers (MRES) For Assistive Devices Application	On-Going
	Member	Lokman Hakim bin Muhamad	Atmospheric Dispersion and Dose Assessment Of 131i and 137cs From Simulated Nuclear Poner Plant Explosion In South-East Asia	On-Going

Updated:: 14/06/2023 [mohdamir]

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FACULTY OF SCIENCE

Universiti Putra Malaysia
43400 UPM Serdang
Selangor Darul Ehsan

0397696601/6602/6603

TIADA

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