I'am
Hossein Javidnia
Assistant Professor in Computational Engineering
Department of Electronic & Electrical Engineering,
Trinity College Dublin
Contact
Academic Background
Nov. 2018 - May. 2021
ADAPT Centre, Trinity College Dublin
PostDoctoral Research Fellow
Augmented Reality/Occlusion handling
Feb. 2015 - June 2018
National University of Ireland Galway
PhD
Electronic & Electrical Engineering focused on depth estimation and 3D reconstruction in consumer imaging
Sept. 2012 - Jan. 2014
University of Guilan, Iran
Master
Information Technology Engineering focused on computer networks and security
Skills
TensorFlow, PyTorch, Keras
95%
Python, MATLAB
95%
Visual Studio (C#, C++, VC++, Aspx.Net), SWIFT
80%
REST API (Flask)
65%
Jira, GitHub, GitLab, AWS
90%
Dataset Analysis (MySQL, Oracle, Tableau)
80%
Animation/3D Design in Blender
65%
Teaching
Trinity College Dublin - Academic year 2024/2025:
- EE955C22 Computational Methods, 10 ECTS
Dublin City University - Academic year 2022/2023/2024:
- CA277 Programming Fundamentals II, 5 ECTS
- CA268 Computer Programming 3 (Data Struct. & Alg.), 5 ECTS
- CA4007 Computer Graphics and Image Processing, 7.5 ECTS
Dublin City University - Academic year 2021/2022:
- CA277 Programming Fundamentals II, 5 ECTS
- CA4007 Computer Graphics and Image Processing, 7.5 ECTS
Trinity College Dublin - Academic year 2019/2020:
- EEU44C16 Deep Learning and its Applications, 10 ECTS
Research
Current research interests:
- Depth perception and 3D reconstruction
- Visual Inertial Odometry
- Event-based vision and navigation
- Conditional generative models for synthetic data generation
Project Ideas
Project #1: AI-Powered Structural Integrity Analysis
- Objective: Develop an AI system that utilizes computer vision to assess the structural integrity of buildings and infrastructure from images and live video feeds.
- Techniques: Use convolutional neural networks (CNNs) for image segmentation and structural analysis to detect cracks, corrosion, and other signs of structural weaknesses.
- Impact: This system would improve maintenance schedules, reduce costs, and enhance safety by providing early warnings of potential failures.
Project #2: Intelligent Predictive Maintenance System
- Objective: Create a predictive maintenance platform that uses computer vision to monitor machinery and predict failures before they occur.
- Techniques: Implement machine learning algorithms that analyze video data from equipment to identify early signs of wear or failure, such as misalignments or vibrations.
- Impact: This would reduce downtime and maintenance costs in manufacturing facilities by optimizing repair schedules and preventing equipment failures.
Project #3: Advanced Autonomous Drone System for Electrical Grid Surveillance
- Objective: Develop a drone-based system equipped with state-of-the-art computer vision technologies to perform comprehensive surveillance and condition assessment of high-voltage transmission lines. This system aims to enhance grid reliability and safety by identifying potential issues before they lead to failures.
- Techniques: Deploy autonomous drones integrated with advanced imaging systems and convolutional neural networks (CNNs) to detect and analyze structural anomalies, wear and tear, and environmental encroachments in real-time.
- Impact: This initiative will enhance the maintenance and monitoring of electrical grids by providing a safer, cost-effective, and efficient alternative to traditional methods. It will significantly decrease downtime and human exposure to hazardous conditions, potentially being adapted to other critical infrastructure surveillance tasks.
Publications
- Javidnia, Hossein, and Peter Corcoran. "Systems and methods for estimating and refining depth maps." U.S. Patent No. 10,462,445. 29 Oct. 2019 [Details]
- Javidnia, Hossein, and Peter Corcoran. "Systems and methods for providing depth map information." U.S. Patent No. 10,839,535. 17 Nov. 2020 [Details]
- Basak, Shubhajit; Khan, Faisal; Javidnia, Hossein; Corcoran, Peter; McDonnell, Rachel; Schukat, Michael (2023). "C3I-SynFace: A synthetic head pose and facial depth dataset using seed virtual human models." Data in Brief [DOI]
- Mohanty, Anwesha; Sutherland, Alistair; Bezbradica, Marija; Javidnia, Hossein (2023). "Rhi3DGen: Analyzing Rhinophyma using 3D face models and synthetic data." Intelligence-Based Medicine [DOI]
- Mohanty, Anwesha; Sutherland, Alistair; Bezbradica, Marija; Javidnia, Hossein (2022). "Skin Disease Analysis With Limited Data in Particular Rosacea: A Review and Recommended Framework." Ieee Access [DOI]
- Bazrafkan, Shabab; Varkarakis, Viktor; Lemley, Joseph; Javidnia, Hossein; Corcoran, Peter (2021). "Versatile Auxiliary Classification and Regression With Generative Adversarial Networks." Ieee Access [DOI]
- Farooq, Muhammad Ali; Javidnia, Hossein; Corcoran, Peter (2020). "Performance estimation of the state-of-the-art convolution neural networks for thermal images-based gender classification system." Journal of Electronic Imaging [DOI]
- Bazrafkan, Shabab; Javidnia, Hossein; Corcoran, Peter (2018). "Latent space mapping for generation of object elements with corresponding data annotation." Pattern Recognition Letters [DOI]
- Javidnia, Hossein; Corcoran, Peter (2018). "Total Variation-Based Dense Depth from Multi-Camera Array." Optical Engineering [DOI]
- Javidnia, Hossein; Corcoran, Peter (2018). "Application of preconditioned alternating direction method of multipliers in depth from focal stack." Journal of Electronic Imaging [DOI]
- Bazrafkan, Shabab; Javidnia, Hossein; Lemley, Joseph; Corcoran, Peter (2018). "Semiparallel deep neural network hybrid architecture: first application on depth from monocular camera." Journal of Electronic Imaging [DOI]
- Javidnia, Hossein; Corcoran, Peter (2016). "A Depth Map Post-Processing Approach Based on Adaptive Random Walk With Restart." Ieee Access [DOI]
- Altameem, Torki A; Nikolić, Vlastimir; Shamshirband, Shahaboddin; Petković, Dalibor; Javidnia, Hossein; Kiah, Miss Laiha Mat; Gani, Abdullah (2015). "Potential of support vector regression for optimization of lens system." Computer Aided Design [DOI]
- Basser, Hossein; Karami, Hojat; Shamshirband, Shahaboddin; Akib, Shatirah; Amirmojahedi, Mohsen; Ahmad, Rodina; Jahangirzadeh, Afshin; Javidnia, Hossein (2015). "Hybrid ANFIS–PSO approach for predicting optimum parameters of a protective spur dike." Applied Soft Computing Journal [DOI]
- Shamshirband, Shahaboddin; Gocić, Milan; Petković, Dalibor; Javidnia, Hossein; Ab Hamid, Siti Hafizah; Mansor, Zulkefli; Qasem, Sultan Noman (2015). "Clustering project management for drought regions determination: a case study in Serbia." Agricultural And Forest Meteorology [DOI]
- Shamshirband, Shahaboddin; Hessam, Somayeh; Javidnia, Hossein; Amiribesheli, Mohsen; Vahdat, Shaghayegh; Petković, Dalibor; Gani, Abdullah; Kiah, Miss Laiha Mat (2014). "Tuberculosis Disease Diagnosis Using Artificial Immune Recognition System." International Journal of Medical Sciences [DOI]
- Shamshirband, Shahaboddin; Petković, Dalibor; Javidnia, Hossein; Gani, Abdullah (2014). "Sensor Data Fusion by Support Vector Regression Methodology-A Comparative Study." IEEE Sensors Journal [DOI]
- Khan, Faisal; Salahuddin, Saqib; Javidnia, Hossein (2020). "Deep Learning-Based Monocular Depth Estimation Methods-A State-of-the-Art Review." Sensors [DOI]
- Javidnia, Hossein; Pitié, François (2020). "Background Matting." arXiv preprint arXiv:2002.04433 [Details]
- Bacher, Ivan; Javidnia, Hossein; Dev, Soumyabrata; Agrahari, Rahul; Hossari, Murhaf; Nicholson, Matthew; Conran, Clare; Tang, Jian; Song, Peng; Corrigan, David; Pitié, François (2020). "An Advert Creation System for 3D Product Placements." arXiv preprint arXiv:2006.15131 [Details]
- Bazrafkan, Shabab; Javidnia, Hossein; Corcoran, Peter (2018). "Face synthesis with landmark points from generative adversarial networks and inverse latent space mapping." arXiv preprint arXiv:1802.00390 [Details]
- Mohanty, Anwesha; Sutherland, Alistair; Bezbradica, Marija; Javidnia, Hossein (2022). "Towards Synthetic Generation of Clinical Rosacea Images with GAN Models." 33rd IEEE Irish Signals and Systems Conference (ISSC) [DOI]
- Basak, Shubhajit; Javidnia, Hossein; Khan, Faisal; McDonnell, Rachel; Schukat, Michael (2020). "Methodology for Building Synthetic Datasets with Virtual Humans." 31st Irish Signals and Systems Conference (ISSC) [DOI]
- Dev, Soumyabrata; Javidnia, Hossein; Hossari, Murhaf; Nicholson, Matthew; McCabe, Killian; Nautiyal, Atul; Conran, Clare; Tang, Jian; Xu, Wei; Pitié, François (2020). "Identifying Candidate Spaces for Advert Implantation." IEEE 7th International Conference on Computer Science and Network Technology (ICCSNT) [DOI]
- Khan, Faisal; Basak, Shubhajit; Javidnia, Hossein; Schukat, Michael; Corcoran, Peter (2020). "High-Accuracy Facial Depth Models derived from 3D Synthetic Data." 31st Irish Signals and Systems Conference (ISSC) [DOI]
- Corcoran, Peter; Javidnia, Hossein; Lemley, Joseph E; Varkarakis, Viktor (2020). "Generative Augmented Dataset and Annotation Frameworks for Artificial Intelligence (GADAFAI)." 31st Irish Signals and Systems Conference (ISSC) [DOI]
- Bacher, Ivan; Javidnia, Hossein; Dev, Soumyabrata; Agrahari, Rahul; Hossari, Murhaf; Nicholson, Matthew; Conran, Clare; Corrigan, David; Pitié, François (2020). "DeepReal - A Deep Learning Based 3D Advert Integration System." New European Media Summit (NEM) [Details]
- Javidnia, Hossein; Bazrafkan, Shabab; Corcoran, Peter (2018). "The application of deep learning on depth from multi-array camera." IEEE International Conference on Consumer Electronics (ICCE) [DOI]
- Javidnia, Hossein; Corcoran, Peter (2017). "Accurate Depth Map Estimation from Small Motions." IEEE International Conference on Computer Vision (ICCV) [DOI]
- Javidnia, Hossein; Corcoran, Peter (2017). "Real-time automotive street-scene mapping through fusion of improved stereo depth and fast feature detection algorithms." IEEE International Conference on Consumer Electronics (ICCE) [DOI]
- Ungureanu, Adrian-Stefan; Javidnia, Hossein; Costache, Claudia; Corcoran, Peter (2016). "A review and comparative study of skin segmentation techniques for handheld imaging devices." IEEE International Conference on Consumer Electronics (ICCE) [DOI]
- Javidnia, Hossein; Ungureanu, Adrian; Costache, Claudia; Corcoran, Peter (2016). "Palmprint as a smartphone biometric." IEEE International Conference on Consumer Electronics (ICCE) [DOI]
- Javidnia, Hossein; Ungureanu, Adrian; Corcoran, Peter (2015). "Palm-print recognition for authentication on smartphones." IEEE International Symposium on Technology and Society (ISTAS) [DOI]
Contact
If you have any questions or queries, please feel free to drop me a line at:hossein.javidnia@tcd.ie