A
PROFILE
UPM's Staff Profile
PROF. MADYA DR. MOHD AMIRUDDIN BIN ABD RAHMAN
DEPUTY DIRECTOR (RESEARCH DATA PLANNING & MONITORING)
RESEARCH MANAGEMENT CENTRE
mohdamir@upm.edu.my
UPM WEBSITE
PROFILE
mohdamir
BM
EN

PROFESSIONAL

I am a Senior Lecturer in the Department of Physics with a joint (co-tutelle) PhD degree in Wireless Communication between University of Sheffield, United Kingdom and Universiti Putra Malaysia. My current research interests includes signal processing, pattern recognition/ prediction, and AI.
NAME :
(Prof. Madya Dr.) MOHD AMIRUDDIN BIN ABD RAHMAN
MANAGERIAL POSITION :
DEPUTY DIRECTOR (RESEARCH DATA PLANNING & MONITORING)
ENTITY :
RESEARCH MANAGEMENT CENTRE

PERMANENT POST :
ASSOCIATE PROFESSOR
ENTITY :
FACULTY OF SCIENCE

DOWNLOAD CURRICULUM VITAE (PDF)
FIELD OF SUPERVISION
APPLIED PHYSICS / COMPUTER AND EMBEDDED SYSTEMS ENGINEERING / DATA SCIENCE / ELECTRONIC ENGINEERING / WIRELESS COMMUNICATIONS AND NETWORKS ENGINEERING


EDUCATIONAL BACKGROUND
2016
Ph.D Electronic and Electrical Engineering (Jointly Awarded University of Sheffield, UK and Universiti Putra Malaysia)
2011
M.Sc Sensor and Instrumentation (Universiti Putra Malaysia)
2006
B. Sc Electrical Engineering (Purdue University, USA)
WORKING EXPERIENCE
2019
ASEAN-India Post-Doctoral Research Fellow, Indian Institute of Technology Kanpur, India
2018
CEO@Faculty Fellow, National Instruments, Penang, Malaysia
2014
Visiting Researcher, Nokia Bell-Labs, Antwerp, Belgium (October 2014) - Implementing Indoor Positioning System Algorithm based on WLAN networks
2014
Post-Graduate Intern, Nokia Bell-Labs, Dublin, Ireland (May - Aug 2014) - Developing algorithm for accurate horizontal positioning system, tracking, and co-locating users/device based on WLAN networks
2005
Undergraduate Intern (Layout Engineer), Intel Microelectronics, Penang, Malaysia (May - Aug 2005)
SKILL
2016
Artificial Intelligence Technique
2015
Algorithm Development
2014
Spectrum Analyser
2010
Agilent Network Analyser
2010
Compaq Visual Fortran
2003
Matlab Programming Language - Very Expert
2001
C++ Programming Language
PROJECT
2020
Smart Irrigation Farming Technique based on Machine Learning Algorithm
2020
Peer to Peer Networks Content Distribution Network Trading Mechanism
2018
Artificial Intelligence for Prediction of NanoFluids ThermoPhysical Properties
2017
Magnetic Field and WLAN Fusion Indoor Localization
2016
Passive WLAN Localisation and Tracking System
2016
Tracking Based on WLAN networks
2012
Multi-Floor WLAN Localisation Based on Machine Learning and Probabilistic Approach
2009
Simultaneous detection of ionic conductivity and moisture content of various materials using microwave microstrip sensor
2007
Functionalization of optically addressed microcantilever sensor using chemical self-assembly method
CONSULTANCY SERVICES
2019
Ministry of Higher Education Malaysia - Smart Data Project - Expert Panel
CONFERENCE / WORKSHOP / SEMINAR
2016
Fundamental Science Congress (FSC), UPM, Malaysia
2014
IEEE Wireless Communications and Networking Conference (WCNC), Istanbul, Turkey
2014
Workshop on Positioning, Navigation and Communication (WPNC), Dresden, Germany
2013
International Conference on Localization and GNSS (ICL-GNSS), Turin, Italy
2010
Fundamental Science Congress (FSC), UPM, Malaysia
TEACHING
2016
PHY3306 Electronics, Dept of Physics, UPM
AWARD AND ACHIEVEMENT
2020
Bentham Science Ambassador
2019
ASEAN-India Research Training Fellowship
2019
UPM Excellent Employee Award
2018
Ministry of Higher Education Malaysia CEO@Faculty Fellowship
2018
Excellent Employee Award
AREA OF SPECIALISATION
2010
Microwave moisture sensing
PUBLICATION
2025
Edge-IoT-UAV Adaptation Toward Precision Agriculture Using 3D-LiDAR Point Clouds
2025
PSO-SVR Algorithm for Accurate ZnO Energy Band Gap Prediction
2025
Adaptive Time Synchronization in Time Sensitive-Wireless Sensor Networks Based on Stochastic Gradient Algorithms Framework
2025
Deep Auto-Encoder based Intelligent and Secure Time Synchronization Protocol (iSTSP) for Security-Critical Time-Sensitive WSNs
2025
Radiation and scattering by a multilayer uniaxial bianisotropic circular cylindrical scatterer
2025
Computationally Enhanced UAV-based Real-Time Pothole Detection using YOLOv7-C3ECA-DSA algorithm
2025
Computationally Efficient Single Layer Transformer Convolutional Encoder for Accurate Price Prediction of Agriculture Commodities
2023
An Improved Hybrid Indoor Positioning Algorithm via QPSO and MLP Signal Weighting
2023
Perovskite Lattice Constant Prediction Framework Using Optimized Artificial Neural Network and Fuzzy Logic Models by Metaheuristic Algorithms
2022
Predicting the density of carbon-based nanomaterials in diesel oil through computational intelligence methods
2022
Deep-piRNA: Bi-Layered Prediction Model for PIWI-Interacting RNA Using Discriminative Features
2022
Fuzzy Rank Cluster Top K Euclidean Distance and Triangle Based Algorithm for Magnetic Field Indoor Positioning System
2022
Prediction of the lattice constants of pyrochlore compounds using machine learning
2022
Effect of Different Signal Weighting Function of Magnetic Field Using KNN for Indoor Localization
2022
Optimized Intelligent Classifier for Early Breast Cancer Detection Using Ultra-Wide Band Transceiver
2021
Existing and Emerging Breast Cancer Detection Technologies and Its Challenges: A Review
2021
Energy Band Gap Modeling of Doped Bismuth Ferrite Multifunctional Material Using Gravitational Search Algorithm Optimized Support Vector Regression
2021
Modeling Superconducting Critical Temperature of 122-iron-based Pnictide Intermetallic Superconductor Using a Hybrid Intelligent Computational Method
2021
Modeling the Optical Properties of a Polyvinyl Alcohol-Based Composite Using a Particle Swarm Optimized Support Vector Regression Algorithm
2021
Prediction of Sumoylation Sites Using Deep Neural Network with Discriminative Features
2021
Tailoring the Energy Harvesting Capacity of Zinc Selenide Semiconductor Nanomaterial through Optical Band Gap Modeling Using Genetically Optimized Intelligent Method
2021
Prediction of Band Gap Energy of Doped Graphitic Carbon Nitride Using Genetic Algorithm-Based Support Vector Regression and Extreme Learning Machine
2020
An improved hybrid indoor positioning system based on surface tessellation artificial neural network
2020
A Heuristic Approach for Finding Similarity Indexes of Multivariate Data Sets
2020
Modeling the viscosity of nanofluids using artificial neural network and Bayesian support vector regression
2020
Application of Support Vector Regression and Artificial Neural Network for prediction of Specific Heat Capacity of Aqueous Nanofluids of Copper Oxide
2020
An approach to predict the isobaric specific heat capacity of nitrides/ ethylene glycol-based nanofluids using support vector regression
2020
Modelling the viscosity of nanofluids using Artificial Neural Network and Bayesian support vector regression
2020
EH-IRSP: Energy Harvesting Based Intelligent Relay Selection Protocol
2019
A WLAN Fingerprinting Based Indoor Localization Technique via Artificial Neural Network
2019
A Migration Aware Scheduling Technique for Real-Time Aperiodic Tasks Over Multiprocessor Systems
2019
Development of a predictive model for estimating the specific heat capacity of metallic oxides/ethylene glycol-based nanofluids using support vector regression
2019
Variable Selection via SCAD-Penalized Quantile Regression for High-Dimensional Count Data
2019
Energy harvesting based routing protocol for underwater sensor networks
2019
Predicting the specific heat capacity of alumina/ethylene glycol nanofluids using support vector regression model optimized with Bayesian algorithm
2019
Modeling and prediction of the specific heat capacity of Al2O3/water nanofluids using hybrid genetic algorithm/support vector regression model
2019
Energy harvesting based routing protocol for underwater sensor networks
2018
Estimating the Refractive Index of Oxygenated and Deoxygenated Hemoglobin using Genetic Algorithm - Support Vector Machine Approach
RANDOM IMAGE
My invited talk
With faculty members of Dept of Physics UPM
Registration Session