Dr Khaled Saleh
Lecturer - Computing and Information Technology
School of Information and Physical Sciences (Computing and Information Technology)
Career Summary
Biography
Dr Khaled is an experienced researcher in the field of AI and Machine Learning with more than 10 years of experience across academia and industry.
Dr Khaled received his PhD in computer science from Deakin University/Australia in 2019. Before joining the University of Newcastle, he worked as a postdoctoral research fellow at the University of Technology Sydney (UTS), where he was working on the research of human behaviour understanding using multimodal sensing via AI and deep learning techniques across versatile domain applications ranging from the transportation to the education field.
At the University of Newcastle, Dr Khaled works on the broader research field of AI and Machine Learning with a focus on automated decision-making/supporting systems. He is also the Program Convenor for the Bachelor of IT.
Dr Khaled's research interests lie at the intersection of autonomous systems, machine learning and computer vision, with a focus on developing intelligent autonomous systems. He has published over 30 papers in high-quality journals and conferences. He also serves as a topic editor at MDPI Sensors journal and a reviewer for top journals and conferences such as IEEE T-ITS, Transportation Research Part C, Neurocomputing, IEEE ICRA and IEEE IROS.
Dr Khaled received his PhD in computer science from Deakin University/Australia in 2019. Before joining the University of Newcastle, he worked as a postdoctoral research fellow at the University of Technology Sydney (UTS), where he was working on the research of human behaviour understanding using multimodal sensing via AI and deep learning techniques across versatile domain applications ranging from the transportation to the education field.
At the University of Newcastle, Dr Khaled works on the broader research field of AI and Machine Learning with a focus on automated decision-making/supporting systems. He is also the Program Convenor for the Bachelor of IT.
Dr Khaled's research interests lie at the intersection of autonomous systems, machine learning and computer vision, with a focus on developing intelligent autonomous systems. He has published over 30 papers in high-quality journals and conferences. He also serves as a topic editor at MDPI Sensors journal and a reviewer for top journals and conferences such as IEEE T-ITS, Transportation Research Part C, Neurocomputing, IEEE ICRA and IEEE IROS.
Qualifications
- Doctor of Philosophy, Deakin University
Keywords
- Artificial Intelligence
- Autonomous Systems
- Computer Vision
- Data Science
- Deep Learning
- Deep Neural Networks
- Intelligent Transportation Systems
- Machine Learning
- Machine Perception
Fields of Research
Code | Description | Percentage |
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461103 | Deep learning | 50 |
460202 | Autonomous agents and multiagent systems | 40 |
350902 | Intelligent mobility | 10 |
Professional Experience
UON Appointment
Title | Organisation / Department |
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Lecturer - Computing and Information Technology | University of Newcastle School of Information and Physical Sciences Australia |
Academic appointment
Dates | Title | Organisation / Department |
---|---|---|
3/2/2020 - 19/8/2022 | Postdoc Research Fellow | University of Technology Sydney Australia |
1/11/2018 - 31/10/2019 | Research Fellow | Deakin University Australia |
Teaching
Code | Course | Role | Duration |
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SENG2200 |
Programming Languages and Paradigms School of Information and Physical Sciences, The University of Newcastle, Australia |
Course Coordinator and Lecturer | 20/2/2023 - 30/6/2023 |
INFO6090 |
Business Intelligence for the Enterprise School of Information and Physical Sciences, The University of Newcastle, Australia |
Course Coordinator and Lecturer | 22/8/2022 - 30/11/2023 |
Publications
For publications that are currently unpublished or in-press, details are shown in italics.
Chapter (2 outputs)
Year | Citation | Altmetrics | Link | |||||
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2022 |
Saleh K, Yu K, Chen F, 'Video-Based Student Engagement Estimation via Time Convolution Neural Networks for Remote Learning', AI 2021: Advances in Artificial Intelligence: Australasian Joint Conference on Artificial Intelligence, Springer, Cham, Switzerland 658-667 (2022) [B1]
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2018 |
Saleh K, Hossny M, Nahavandi S, 'Cyclist Trajectory Prediction Using Bidirectional Recurrent Neural Networks', , SPRINGER INTERNATIONAL PUBLISHING AG 284-295 (2018) [E1]
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Journal article (10 outputs)
Year | Citation | Altmetrics | Link | |||||
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2024 |
Grigorev A, Mihaita A-S, Saleh K, Chen F, 'Automatic Accident Detection, Segmentation and Duration Prediction Using Machine Learning', IEEE Transactions on Intelligent Transportation Systems, 25 1547-1568 (2024) [C1]
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2023 |
Saleh K, Hossny M, Abobakr A, Attia M, Iskander J, 'VoxelScape: Large Scale Simulated 3D Point Cloud Dataset of Urban Traffic Environments', IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 24 9435-9448 (2023) [C1]
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Nova | ||||||
2022 |
Saleh K, 'Pedestrian Trajectory Prediction for Real-Time Autonomous Systems via Context-Augmented Transformer Networks', SENSORS, 22 (2022) [C1]
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Nova | ||||||
2021 |
Hossny M, Iskander J, Attia M, Saleh K, Abobakr A, 'Refined Continuous Control of DDPG Actors via Parametrised Activation', AI, 2 464-476 [C1]
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2021 |
Saleh K, Abobakr A, Hossny M, Nahavandi D, Iskander J, Attia M, Nahavandi S, 'Fast intent prediction of multi-cyclists in 3D point cloud data using deep neural networks', NEUROCOMPUTING, 465 205-214 (2021) [C1]
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2020 |
Khaled S, Mohammed H, Saeid N, 'Spatio-temporal DenseNet for real-time intent prediction of pedestrians in urban traffic environments', NEUROCOMPUTING, 386 317-324 (2020) [C1]
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2020 |
Saleh K, Hossny M, Nahavandi S, 'Contextual Recurrent Predictive Model for Long-Term Intent Prediction of Vulnerable Road Users', IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 21 3398-3408 (2020) [C1]
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2019 |
Iskander J, Attia M, Saleh K, Nahavandi D, Abobakr A, Mohamed S, et al., 'From car sickness to autonomous car sickness: A review', TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, 62 716-726 (2019) [C1]
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2018 |
Saleh K, Hossny M, Nahavandi S, 'Intent Prediction of Pedestrians via Motion Trajectories Using Stacked Recurrent Neural Networks', IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 3 414-424 (2018) [C1]
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2018 |
Saleh K, Hossny M, Nahavandi S, 'Effective Vehicle-Based Kangaroo Detection for Collision Warning Systems Using Region-Based Convolutional Networks', SENSORS, 18 (2018) [C1]
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Show 7 more journal articles |
Conference (28 outputs)
Year | Citation | Altmetrics | Link | |||||
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2022 |
Saleh K, 'Hybrid Seq2Seq Architecture for 3D Co-Speech Gesture Generation', INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION, Bengaluru, India (2022) [E1]
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Nova | ||||||
2022 |
Saleh K, Mihaita A-S, Yu K, Chen F, 'Real-time Attention-Augmented Spatio-Temporal Networks for Video-based Driver Activity Recognition', 2022 IEEE 25TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC), PEOPLES R CHINA, Macau (2022) [E1]
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2022 |
Grigorev A, Mihaita A-S, Saleh K, Piccardi M, 'Traffic incident duration prediction via a deep learning framework for text description encoding', 2022 IEEE 25TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC), PEOPLES R CHINA, Macau (2022) [E1]
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2022 |
Saleh K, Grigorev A, Mihaita A-S, 'Traffic Accident Risk Forecasting using Contextual Vision Transformers', 2022 IEEE 25TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC), PEOPLES R CHINA, Macau (2022) [E1]
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2021 |
Saleh K, Yu K, Chen F, 'Improving Users Engagement Detection using End-to-End Spatio-Temporal Convolutional Neural Networks', HRI '21: COMPANION OF THE 2021 ACM/IEEE INTERNATIONAL CONFERENCE ON HUMAN-ROBOT INTERACTION, ELECTR NETWORK (2021) [E1]
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2019 |
Saleh K, Hossny M, Nahavandi S, 'Real-time Intent Prediction of Pedestrians for Autonomous Ground Vehicles via Spatio-Temporal DenseNet', 2019 INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), Montreal, CANADA (2019) [E1]
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2019 |
Iskander J, Abobakr A, Attia M, Saleh K, Nahavandi D, Hossny M, Nahavandi S, 'A k-NN Classification based VR User Verification using Eye Movement and Ocular Biomechanics', 2019 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC), Bari, ITALY (2019) [E1]
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2019 |
Attia M, Attia MH, Iskander J, Saleh K, Nahavandi D, Abobakr A, et al., 'Fingerprint Synthesis Via Latent Space Representation', 2019 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC), Bari, ITALY (2019) [E1]
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2019 |
Abobakr A, Abdelkader H, Iskander J, Nahavandi D, Saleh K, Attia M, et al., 'SSDPose: A Single Shot Deep Pose Estimation and Analysis', 2019 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC), Bari, ITALY (2019) [E1]
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2019 |
Attia M, Abobakr A, Wei L, Saleh K, Iskander J, Zhou H, et al., 'High Frame Rate Photorealistic Flame Rendering via Generative Adversarial Networks', 2019 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC), ITALY, Bari (2019) [E1]
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2019 |
Jalali SMJ, Kebria PM, Khosravi A, Saleh K, Nahavandi D, Nahavandi S, 'Optimal Autonomous Driving Through Deep Imitation Learning and Neuroevolution', 2019 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC), Bari, ITALY (2019) [E1]
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2019 |
Iskander J, Attia M, Saleh K, Abobakr A, Nahavandi D, Hossny M, Nahavandi S, 'Exploring the Effect of Virtual Depth on Pupil Diameter', 2019 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC), Bari, ITALY (2019) [E1]
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2019 |
Ahmed M, Saleh K, Abobakr A, Nahavandi S, 'SCENARIO GENERATION-BASED TRAINING IN SIMULATION: PILOT STUDY', 2019 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC), Bari, ITALY (2019) [E1]
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2019 |
Saleh K, Abobakr A, Nahavandi D, Iskander J, Attia M, Hossny M, Nahavandi S, 'Cyclist Intent Prediction using 3D LIDAR Sensors for Fully Automated Vehicles', 2019 IEEE INTELLIGENT TRANSPORTATION SYSTEMS CONFERENCE (ITSC), Auckland, NEW ZEALAND (2019) [E1]
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2019 |
Saleh K, Abobakr A, Attia M, Iskander J, Nahavandi D, Hossny M, Nahavandi S, 'Domain Adaptation for Vehicle Detection from Bird's Eye View LiDAR Point Cloud Data', 2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS (ICCVW), SOUTH KOREA, Seoul (2019) [E1]
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2018 |
Iskander J, Hanoun S, Hettiarachchi I, Hossny M, Saleh K, Zhou H, et al., 'Eye Behaviour as a Hazard Perception Measure', 12TH ANNUAL IEEE INTERNATIONAL SYSTEMS CONFERENCE (SYSCON2018), Vancouver, CANADA (2018) [E1]
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2018 |
Saleh K, Hossny M, Nahavandi S, 'Long-Term Recurrent Predictive Model for Intent Prediction of Pedestrians via Inverse Reinforcement Learning', 2018 INTERNATIONAL CONFERENCE ON DIGITAL IMAGE COMPUTING: TECHNIQUES AND APPLICATIONS (DICTA), AUSTRALIA, Canberra (2018) [E1]
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2018 |
Iskander J, Jia D, Hettiarachchi I, Hossny M, Saleh K, Nahavandi S, et al., 'Age-Related Effects of Multi-Screen Setup on Task Performance and Eye Movement Characteristics', 2018 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), IEEE Syst Man & Cybernet Soc, Miyazaki, JAPAN (2018) [E1]
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2018 |
Saleh K, Iskander J, Jia D, Hossny M, Nahavandi S, Best C, et al., 'Reliable Switching Mechanism for Low Cost Multi-screen Eye Tracking Devices via Deep Recurrent Neural Networks', 2018 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), JAPAN, IEEE Syst Man & Cybernet Soc, Miyazaki (2018) [E1]
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2018 |
Saleh K, Zeineldin RA, Hossny M, Nahavandi S, El-Fishawy NA, 'End-to-End Indoor Navigation Assistance for the Visually Impaired using Monocular Camera', 2018 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), JAPAN, IEEE Syst Man & Cybernet Soc, Miyazaki (2018) [E1]
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2018 |
Saleh K, Attia M, Hossny M, Hanoun S, Salaken S, Nahavandi S, 'Local Motion Planning for Ground Mobile Robots via Deep Imitation Learning', 2018 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), JAPAN, IEEE Syst Man & Cybernet Soc, Miyazaki (2018) [E1]
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2017 |
Saleh K, Hossny M, Nahavandi S, 'Early Intent Prediction of Vulnerable Road Users from Visual Attributes using Multi-Task Learning Network', 2017 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), Banff, CANADA (2017) [E1]
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2017 |
Saleh K, Zeineldin RA, Hossny M, Nahavandi S, El-Fishawy NA, 'Navigational Path Detection for the Visually Impaired using Fully Convolutional Networks', 2017 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), Banff, CANADA (2017) [E1]
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2017 |
Saleh K, Hossny M, Nahavandi S, 'Towards Trusted Autonomous Vehicles from Vulnerable Road Users Perspective', 2017 11TH ANNUAL IEEE INTERNATIONAL SYSTEMS CONFERENCE (SYSCON), Montreal, CANADA (2017) [E1]
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2017 |
Saleh K, Hossny M, Hossny A, Nahavandi S, 'Cyclist Detection in LIDAR Scans Using Faster R-CNN and Synthetic Depth Images', 2017 IEEE 20TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC), Yokohama, JAPAN (2017) [E1]
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2017 |
Saleh K, Hossny M, Nahavandi S, 'Intent Prediction of Vulnerable Road Users from Motion Trajectories Using Stacked LSTM Network', 2017 IEEE 20TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC), Yokohama, JAPAN (2017) [E1]
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2017 |
Saleh K, Hossny M, Nahavandi S, 'Driving behavior classification based on sensor data fusion using LSTM recurrent neural networks', 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC), Yokohama, Japan (2017) [E1]
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2016 |
Saleh K, Hossny M, Nahavandi S, 'Kangaroo Vehicle Collision Detection Using Deep Semantic Segmentation Convolutional Neural Network', 2016 INTERNATIONAL CONFERENCE ON DIGITAL IMAGE COMPUTING: TECHNIQUES AND APPLICATIONS (DICTA), Gold Coast, AUSTRALIA (2016) [E1]
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Show 25 more conferences |
Grants and Funding
Summary
Number of grants | 2 |
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Total funding | $283,513 |
Click on a grant title below to expand the full details for that specific grant.
20211 grants / $20,000
Agent Behaviour Modelling via Deep Reward Learning: An Urban Traffic Environment Use Case$20,000
Funding body: DSTO
Funding body | DSTO |
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Project Team | Khaled Saleh and Kun Yu |
Scheme | Direct Funding |
Role | Lead |
Funding Start | 2021 |
Funding Finish | 2022 |
GNo | |
Type Of Funding | Other Public Sector - Commonwealth |
Category | 2OPC |
UON | N |
20171 grants / $263,513
Autonomous Electric Vehicle - URP2016 -3003R$263,513
Funding body: Ford Motor Company
Funding body | Ford Motor Company |
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Project Team | Prof Saeid Nahavandi, Dr Mohammed Hossny, A/Prof Shady Mohamed, Dr Navid Mohajer, Dr Darius Nahavandi, Dr Ahmed Abobakr, Dr Khaled Saleh, A/Prof Zoran Najdovski |
Scheme | Direct Funding |
Role | Investigator |
Funding Start | 2017 |
Funding Finish | 2019 |
GNo | |
Type Of Funding | International - Competitive |
Category | 3IFA |
UON | N |
Dr Khaled Saleh
Position
Lecturer - Computing and Information Technology
School of Information and Physical Sciences
College of Engineering, Science and Environment
Focus area
Computing and Information Technology