conference

Hafiq presented his work at IROS 2023 workshop

Hafiq’s paper on “Deep Reinforcement Learning-Based Mapless Crowd Navigation with Perceived Risk of the Moving Crowd for Mobile Robots” was accepted to the 2nd Workshop on Social Robot Navigation: Advances and Evaluation (papers) held in conjunction with IEEE International Conference on Intelligent Robots and Systems 2023 (IROS 2023) on 5 October. We couldn’t travel to […]

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Nazrul’s paper presented at UR 2023

Nazrul’s paper with the title “Optimizing Odometry Accuracy through Temporal Information in Self-Supervised Deep Networks” has been accepted and presented at the 20th International Conference on Ubiquitous Robots (UR 2023) held in the Hawai’i Convention Center, Honolulu, Hawaii. In this paper, we propose a self-supervised deep recurrent convolutional network with a self-attention pipeline for LiDAR-Inertial

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Hafiq presented his paper at RiTA 2021

Hafiq presented his initial work in his MSc at the 9th International Conference on Robot Intelligence Technology and Applications (RiTA 2021). The conference is a hybrid one with on-site and virtual participation. We attended the conference virtually. Hafiq’s paper is “Comparison of Deep Q-Learning, Q-Learning and SARSA Reinforced Learning for Robot Local Navigation”. Abstract. This

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Amran’s paper received Best Paper Award at ICEBEHI 2021

Congratulations to Amran! His paper “Investigation of the Unsupervised Machine Learning Techniques for Human Activity Discovery” received the Gold Award in General Electronic Category at the second International Conference on Electronics, Biomedical Engineering and Health Informatics (ICEBEHI) 2021. Amran presented the paper virtually held on 3-4 November 2021. Abstract. Human activity recognition has been considered

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Mateen’s paper presented in BDIOT 2018 at Beijing

Mateen‘s paper on “Implementation and Evaluation of IoT System Using Cloud Storage Platform” has been accepted in the 2nd International Conference on Big Data and Internet of Things (BDIOT 2018). Abstract. As the internet has become more accessible, the use of Internet of Things (IoT) systems is increasing. An IoT system can be accessed either

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Bacha’s paper presented in ICISPC 2018 at Kuala Lumpur

Bacha‘s paper on “Using Margin-based Region of Interest Technique with Multi-Task Convolutional Neural Network and Template Matching for Robust Face Detection and Tracking System ” has been accepted in the 2nd International Conference on Imaging, Signal Processing and Communication (ICISPC 2018). The paper was presented at the conference in KL. The presentation received the Best

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Bacha presented his poster in MIWAI 2017

Bacha‘s paper on “Hybrid Model with Margin-Based Real-Time Face Detection and Tracking” has been accepted in the 11th Multi-disciplinary International Workshop on Artificial Intelligence (MIWAI 2017). Abstract. Face detection and tracking algorithms mainly suffer from low accuracy, slow processing speed, and poor robustness when meet with real-time setup. The problem becomes crucial in real-time situations

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