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Dr. Hossein Javidnia

Assistant Professor (Electronic & Elect. Engineering)

 


Dr. Javidnia is currently an Assistant Professor in Computational Engineering with the School of Engineering, Trinity College Dublin. Prior to taking this post, Dr. Javidnia was an Assitant Professor in Software Engineering in Dublin City University for three years. Dr. Javidnia obtained his Ph.D. degree in Electronic and Electrical Engineering from National University of Ireland Galway, in 2018, examining the Contributions to the Measurement of Depth in Consumer Imaging. Experience as R&D Engineer with Xperi Corporation, mainly focused on consumer 3D reconstruction. Lead Researcher on a collaborative project with Huawei Ltd., Ireland Deep Real: Deep Learning for 3D Object placement in videos nominated for Technology Award Ireland 2019. Postdoctoral fellowship experience with ADAPT Centre, Trinity College Dublin, focused on advanced 3D modeling and augmented reality.
  Artificial Intelligence   Computer vision and robotics   Image Processing   Robotics   Signal Processing   VIDEO PROCESSING
Anwesha Mohanty, Alistair Sutherland, Marija Bezbradica, Hossein Javidnia, High-Fidelity Synthetic Face Generation for Rosacea Skin Condition from Limited Data, Electronics, 2024, Journal Article, PUBLISHED  URL
Shubhajit Basak, Faisal Khan, Hossein Javidnia, Peter Corcoran, Rachel McDonnell, Michael Schukat, C3I-SynFace: A synthetic head pose and facial depth dataset using seed virtual human models., Elsevier, 2023, Dataset, PUBLISHED  URL
Anwesha Mohanty, Alistair Sutherland, Marija Bezbradica, Hossein Javidnia, Rhi3DGen: Analyzing Rhinophyma using 3D face models and synthetic data, Intelligence-Based Medicine, 2023, Journal Article, PUBLISHED  URL
Anwesha Mohanty, Alistair Sutherland, Marija Bezbradica, Hossein Javidnia, Towards Synthetic Generation of Clinical Rosacea Images with GAN Models, 2022 33rd Irish Signals and Systems Conference (ISSC), 2022, Conference Paper, PUBLISHED  URL
Anwesha Mohanty, Alistair Sutherland, Marija Bezbradica, Hossein Javidnia, Skin disease analysis with limited data in particular rosacea: a review and recommended framework, IEEE Access, 2022, Journal Article, PUBLISHED  URL
Bacher, Ivan and Javidnia, Hossein and Dev, Soumyabrata and Agrahari, Rahul and Hossari, Murhaf and Nicholson, Matthew and Conran, Clare and Tang, Jian and Song, Peng and Corrigan, David and others, An advert creation system for 3D product placements, Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track: European Conference, ECML PKDD, 2021, Conference Paper, PUBLISHED  URL
Shabab Bazrafkan, Viktor Varkarakis, Joseph Lemley, Hossein Javidnia, Peter Corcoran, Versatile Auxiliary Classification and Regression With Generative Adversarial Networks, IEEE Access, 2021, Journal Article, PUBLISHED  URL
Shubhajit Basak, Hossein Javidnia, Faisal Khan, Rachel McDonnell, Michael Schukat, Methodology for Building Synthetic Datasets with Virtual Humans, 2020 31st Irish Signals and Systems Conference (ISSC), 2020, Conference Paper, PUBLISHED  TARA - Full Text  URL
Peter Corcoran, Hossein Javidnia, Joseph E Lemley, Viktor Varkarakis, Generative Augmented Dataset and Annotation Frameworks for Artificial Intelligence (GADAFAI), 2020 31st Irish Signals and Systems Conference (ISSC), 2020, Conference Paper, PUBLISHED  URL
Faisal Khan, Shubhajit Basak, Hossein Javidnia, Michael Schukat, Peter Corcoran, High-accuracy facial depth models derived from 3D synthetic data, 2020 31st Irish Signals and Systems Conference (ISSC), 2020, Conference Paper, PUBLISHED  URL
  

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Computer Vision, AI, 3D Reconstruction, Biomedical Signal Processing