Dr Fath U Min Ullah
Dr. Fath work as a Lecturer (Assistant Professor) in Artificial Intelligence. He accredited his PhD degree in Feb 2023, from Sejong University, Seoul, South Korea.
Dr Fath has published in numerous high reputed journals and conferences including IEEE Transactions on Industrial Informatics, Expert System with Applications, International Journal of Intelligent System, Information Science, and conferences such as AVSS, etc.
Regarding other activities, he works in numerous peer review journals as a reviewer such as Pattern Recognition, IEEE Transactions on Image Processing, Neurocomputing, Information Fusion, Expert System with Applications, Knowledge-based System, Applied Soft Computing, IEEE Network Magazine, IEEE Access, Alexandria Engineering Journal, Journal of Visual Communication and Image Representation, and Several MDPI Journals including SENSORS, Remote Sensing.
Prior to joining us, Fath worked as Postdoc Research (KTP) Associate in the department of Electrical and Electronics Engineering, University of Sheffield, Sheffield, United Kingdom in a collaboration with Logically Company, Leeds. Prior to joining the postdoc position, he worked as leading researcher and Laboratory coordinator at Intelligent Media Laboratory (IM Lab), with the Department of Software Convergence, Sejong University, Seoul, South Korea. During his undergraduate study, Dr Fath was a Research Assistant at the Digital Image Processing DIP Laboratory where he focused on facial analysis, data hiding, image enhancement, segmentation using machine learning, and video analysis attempts.
- Postdoc (KTP), University of Sheffield, Sheffield, United Kingdom, 2024
- Management and Leadership Diploma, Ashorne Management College, Ashorne Hill, Leamington Spa
- PhD Software Convergence, Sejong University, Seoul, Republic of Korea, 2023
- Best Researcher Award from President of Sejong University, South Korea, 2023
- Deep learning
- Video analysis
- Machine intelligence for multimedia content security and forensics
- Machine intelligence for computer vision
- Artificial intelligence
- Member of IEEE
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- Misinformation Detection in Visual Contents (Funder: United Kingdom Research and Innovation (UKRI)), 2024
- Bridging the Early Diagnosis and Treatment Gap of Brain Diseases via Smart, Connected, Proactive and Evidence-based Technological Interventions (Funder: European Union through Research and Innovation Programme), 2023
- Brazilian National Council for Scientific and Technological Development-CNPq (Funder: FCT/MCTES), 2023
- Open platform technology for autonomous participation of energy network components (Funder: Korea Research Foundation Supported Project), 2023
- Development of data augmentation technology by using heterogeneous data and external data integration (Funder: Korea Institute for Advancement of Technology), 2022
- Multi-view Video Data Analysis Technology for Smart City based Intelligent Surveillance System (Funder: Korea Research Foundation Supported Project), 2022
- Development of integrated cross-model data processing platform supporting a unified analysis of various big data models (Funder: Korea Institute for Advancement of Technology), 2021
- Development of AI-Convergence Technologies for Smart City Industry Productivity Innovation (Funder: Korea Institute for Advancement of Technology), 2020
- National Program of Excellence in Software (Funder: Korea Institute for Advancement of Technology), 2020
Email: Email:Dr Fath U Min Ullah
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