Dr Tariq Rahim

Contact

Tariq Rahim
About
Teaching and learning
Research

About

I am an Early Career Researcher and  Lecturer in Computer Science (UX) at the Department of Computer Science. As a module leader, I am teaching a Requirements Analysis and Design course. My global academic and research journey spans nine years of working with universities and industrial-academic corporations such as the Research Institute of Communication Technology at Beijing Institute of Technology, China, Wireless and Emerging Network Systems (WENS) Lab-South Korea, and NIHR-funded project at Cardiff Metropolitan Univesity, UK. I worked as a Postdoctoral Fellow and a Researcher at ICT-CRC, KIT, South Korea for industrial academic cooperation. From May 2022 till May 2023, I worked as a senior Postdoctoral Research Fellow at Cardiff Metropolitan University, UK for a NIHR-funded project to automatically classify middle ear diseases. 

My research includes Image (natural & medical) Processing, Machine Learning (ML), Deep Learning (DL), and Video Processing. I have been working on various problems related to classification, detection, and segmentation in medical imaging. Furthermore, I have been working on the impact of high frame rates and video encodings on the perceived quality of end users.  I am a reviewer for several prestigious journals and conferences including IEEE Transactions on Circuits and Systems, Computerized Medical Imaging and Graphics, Computers in Biology and Medicine, IEEE Access, and IEEE TSP. 

I am open to supervising highly motivated self-funded Ph.D. students having interests in the areas of ML, DL, image processing, and video processing. 

Academic responsibilities

Lecturer in Computer Science (UX)

Qualifications

  • PhD in IT Convergence Engineering (Graduated in 2021 with Distinction)
  • MS in Information and Communication Engineering (Graduated in 2017 Distinction)
  • Bachelors in Electronics Engineering (Graduated in 2012)

Teaching and learning

Module Leader: CI4305 Requirements Analysis and Design

Teacher:  C14316 Requirements Analysis and Design for Game Programming

Undergraduate courses taught

Research

Areas of specialism

Machine Learning

Deep Learning

Image Processing focuses on both natural and medical imaging. 

Image Reconstruction

Video Quality Assessment

Areas of specialism

  • Machine Learning
  • Deep Learning
  • Image Processing
  • Video Processing

Scholarly affiliations

  • IEEE Member
  • Member of IEEE Communications Society (ComSoc)

Research student supervision

Publications

Jump to: Article | Conference or Workshop Item
Number of items: 15.

Article

Hassan, Syed Ali, Rahim, Tariq and Shin, Soo Young (2022) ChildAR : an augmented reality-based interactive game for assisting children in their education. Universal Access in the Information Society, 21(2), pp. 545-556. ISSN (print) 1615-5289

Novamizanti, Ledya, Ramatryana, I Nyoman Apraz, Magdalena, Rita, Pratama, I Putu Agus Eka, Rahim, Tariq and Shin, Soo Young (2022) Compressive sampling of color retinal image using spread spectrum Fourier sampling and total variant. IEEE Access, 10, pp. 42198-42207. ISSN (online) 2169-3536

Tran-Dang, Hoa, Bhardwaj, Sanjay, Rahim, Tariq, Musaddiq, Arslan and Kim, Dong-Seong (2022) Reinforcement learning based resource management for fog computing environment : literature review, challenges, and open issues. Journal of Communications And Networks, 24(1), pp. 83-98. ISSN (print) 1229-2370

Rahim, Tariq, Magdalena, Rita, Pratama, I Putu Agus Eka, Novamizanti, Ledya, Ramatryana, I Nyoman Apraz, Shin, Soo Young and Kim, Dong Seong (2022) Basis pursuit with sparsity averaging for compressive sampling of iris images. IEEE Access, 10, pp. 13728-13737. ISSN (online) 2169-3536

Hassan, Syed-Ali, Rahim, Tariq and Shin, Soo-Young (2021) An improved deep convolutional neural network-based autonomous road inspection scheme using unmanned aerial vehicles. Electronics, 10(22), p. 2764. ISSN (online) 2079-9292

Magdalena, Rita, Rahim, Tariq, Pratama, I Putu Agus Eka, Novamizanti, Ledya, Ramatryana, I Nyoman Apraz, Raja, Aamir Younas and Shin, Soo Young (2021) RGB-based compressed medical imaging using sparsity averaging reweighted analysis for wireless capsule endoscopy images. IEEE Access, 9, pp. 147091-147101. ISSN (online) 2169-3536

Islam, Anik, Rahim, Tariq, Masuduzzaman, MD and Shin, Soo Young (2021) A blockchain-based artificial intelligence-empowered contagious pandemic situation supervision scheme using internet of drone things. IEEE Wireless Communications, 28(4), pp. 166-173. ISSN (print) 1536-1284

Rahim, Tariq, Hassan, Syed Ali and Shin, Soo Young (2021) A deep convolutional neural network for the detection of polyps in colonoscopy images. Biomedical Signal Processing and Control, 68, p. 102654. ISSN (print) 1746-8094

Rahim, Tariq, Novamizanti, Ledya, Ramatryana, I. Nyoman Apraz and Shin, Soo Young (2021) Compressed medical imaging based on average sparsity model and reweighted analysis of multiple basis pursuit. Computerized Medical Imaging and Graphics, 90, p. 101927. ISSN (print) 0895-6111

Han, Seung Heon, Chae, Seog, Park, Jae Han, Hassan, Syed Ali, Rahim, Tariq and Shin, Soo Young (2020) Video-based traffic accident prevention safety system using deep learning. The Journal of Korean Institute of Communications and Information Sciences, 45(8), pp. 1399-1406. ISSN (print) 1226-4717

Wang, Zedong, Wang, Jing, Wang, Fei, Li, Chengcai, Fei, Zesong and Rahim, Tariq (2017) A video quality assessment method for VoIP applications based on user experience. Sensing and Imaging, 18, p. 12. ISSN (print) 1557-2064

Conference or Workshop Item

Choi, Yeon Ji, Rahim, Tariq, Ramatryana, Nyoman Apraz and Shin, Soo Young (2021) Improved CNN-based path planning for stairs climbing in autonomous UAV with LiDAR sensor. In: International Conference on Electronics, Information, and Communication (ICEIC) 2024; 31 Jan - 3 Feb 2021, Taipei, Taiwan.

Masuduzzaman, Md, Islam, Anik, Rahim, Tariq and Shin, Soo Young (2020) Blockchain-assisted UAV-employed casualty detection scheme in search and rescue mission in the internet of battlefield things. In: The 11th International Conference on ICT Convergence (ICTC 2020) : Data, Network and AI in the age of 'Untact'; 21-23 Oct 2020, Jeju, South Korea.

Yang, Shu, Zhao, Junzhe, Jiang, Tingting, Wang, Jing, Rahim, Tariq, Zhang, Bo, Xu, Zhaoji and Fe, Zesong (2017) An objective assessment method based on multi-level factors for panoramic videos. In: 2017 IEEE Visual Communications and Image Processing (VCIP); 10-13 Dec 2017, St. Petersburg, U.S..

Jing, Wang, Zedong, Wang, Fei, Wang, Rahim, Tariq and Zesong, Fei (2016) A no-reference video quality assessment method for VoIP applications. In: 2016 IEEE 13th International Conference on Signal Processing (ICSP); 06-10 Nov 2016, Chengdu, China.

This list was generated on Fri May 3 07:10:25 2024 BST.