PROFILE
UPM's Staff Profile
PROF. MADYA DR. THINAGARAN A/L PERUMAL
HEAD OF DEPARTMENT
FACULTY OF COMPUTER SCIENCE AND INFORMATION TECHNOLOGY
thinagaran@upm.edu.my
PROFESSIONAL
NAME :
(Prof. Madya Dr.) THINAGARAN A/L PERUMAL
MANAGERIAL POSITION :
HEAD OF DEPARTMENT
ENTITY :
PERMANENT POST :
ASSOCIATE PROFESSOR
ENTITY :
FACULTY OF COMPUTER SCIENCE AND INFORMATION TECHNOLOGY
DOWNLOAD CURRICULUM VITAE (PDF)
FIELD OF SUPERVISION
COMPUTER AND EMBEDDED SYSTEMS ENGINEERING / DATA SCIENCE / INTELLIGENT SYSTEMS / WIRELESS COMMUNICATIONS AND NETWORKS ENGINEERING
PUBLICATION
2025
Customer Behaviour Analysis Based on Purchasing History and Reviews Using Automated Decision-Making Systems
2025
Enhancing Grey Wolf Optimization with Applications and Innovations
2025
An efficient automated test case generation system using gcsru with pattern recognition in software testing
2025
Introducing CASUX: A Standardized Scale for Measuring the User Experience of Artificial Intelligence Based Conversational Agents
2025
Smart home energy prediction framework using temporal Kolmogorov-Arnold transformer
2025
A Mechanized Method for Risk-Based Test Case Generation and Prioritization by an Improved Correlation System
2025
Role of knowledge management in the development of effective strategic business planning for organizations
2025
Improvement and application of particle swarm optimization algorithm
2024
Inner Resonance and Outer Current Based Control Strategy for Inductive Power Transfer System Used in Wireless Charging for Electric Vehicles
2024
A review on fall detection systems in bathrooms: challenges and opportunities
2024
The impact of the digital economy on industrial structure upgrading and sustainable entrepreneurial growth
2024
HUMAN ACTIVITY RECOGNITION BASED ON DEVICE-FREE WI-FI SENSING: A COMPREHENSIVE REVIEW
2023
Fall Detection Systems at Night
2023
Internet of Things Centric Based Multi-Activity Recognition in Smart Home Environment
2023
Enhancing Road Safety Through Accurate Detection of Hazardous Driving Behaviors With Graph Convolutional Recurrent Networks
2022
AIFMS Autonomous Intelligent Fall Monitoring System for the Elderly Persons
2022
Internet of Things (IoT) Based Activity Recognition Strategies in Smart Homes: A Review
2022
MLMO-HSM: Multi-label Multi-output Hybrid Sequential Model for multi-resident smart home activity recognition
2021
CoAP-Based Lightweight Interoperability Semantic Sensor and Actuator Ontology for IoT Ecosystem
2021
Human activity recognition with smartphone and wearable sensors using deep learning techniques: A review
2021
Time dependent network resource optimization in cyber–physical systems using game theory
2021
Making Buildings Smarter and Energy-Efficient—Using the Internet of Things Platform
2020
Multi-label classification based ensemble learning for human activity recognition in smart home
2020
Sequential neural networks for multi-resident activity recognition in ambient sensing smart homes
2020
FLA-SLA Aware Cloud Collation Formation Using Fuzzy Preference Relationship Multi-Decision Approach for Federated Cloud
2019
Semantic Interoperability for Heterogeneous Internet of Things(IoT) Devices
2017
Multi-label Classification for Recognition of Physical Activity from Various Accelerometer Sensor Positions
2016
Design of Environmental Based Wireless Embedded Monitoring System
2015
Internet of Things (IoT) Based Activity Recognition System
2014
SOA-Based Framework for Home and Building Automation Systems (HBAS)
2013
Development of an embedded smart home management scheme