Please enable JavaScript in your web browser to get the best experience.

Please enable JavaScript in your web browser to get the best experience.

Clearing Study Experience Research Collaborate About us

Dr Tariq Rahim

Faculty of Engineering, Computing and the Environment
Department of Computer Science
School of Computer Science and Mathematics
Penrhyn Road

Lecturer in Computer Science (UX)

[email protected]

ORCID

About

I am an Early Career Researcher and Computer Science (UX) Lecturer at the Department of Computer Science (CS). As a module leader, I teach Requirements Analysis and Design (Level 4) for CS and Computing Systems (Level 5). My global academic teaching (FHEA) 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 University, 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 interested in ML, DL, image processing, medical image processing, and video processing.

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)

Domains

Publications

Cross-lingual speech-to-text systems with low-latency neural networks for real-time applications

Khan, Jawad, Siddiqi, Muhammad Hameed, Rahim, Tariq and Khalid, Shah, 2026, Big Data (14), 2 pp 65-66, Published

View this article

Detecting hate speech in Hindi digital discourse using transformer–long short-term memory models

Narula, Rachna, Gupta, Vedika, Khan, Jawad, Rahim, Tariq and Kumar, Vijay, 2026, Journal of Communication, Language and Culture (6), 2 pp 301-323, Published

View this article

A new hybrid image denoising algorithm using adaptive and modified decision-based filters for enhanced image quality

Ullah, Faiz, Kumar, Kamlesh, Rahim, Tariq, Khan, Jawad and Jung, Younhyun, 2025, Scientific Reports (15), Published

View this article

UAV-employed intelligent approach to identify injured soldier on blockchain-integrated internet of battlefield things

Masuduzzaman, Md, Rahim, Tariq, Islam, Anik and Shin, Soo Young, 2024, IEEE Transactions on Network and Service Management, E-pub ahead of print

View this article

UxV-based deep-learning-integrated automated and secure garbage management scheme using blockchain

Masuduzzaman, Md, Rahim, Tariq, Islam, Anik and Shin, Soo Young, 2023, IEEE Internet of Things Journal (10), 8 pp 6779-6793, Published

View this article

ChildAR: an augmented reality-based interactive game for assisting children in their education

Hassan, Syed Ali, Rahim, Tariq and Shin, Soo Young, 2022, Universal Access in the Information Society (21), 2 pp 545-556, Published

View this article

Compressive sampling of color retinal image using spread spectrum Fourier sampling and total variant

Novamizanti, Ledya, Ramatryana, I. Nyoman Apraz, Magdalena, Rita, Pratama, I. Putu Agus Eka, Rahim, Tariq and Shin, Soo Young, 2022, IEEE Access (10) pp 42198-42207, Published

View this article

Reinforcement learning based resource management for fog computing environment: literature review, challenges, and open issues

Tran-Dang, Hoa, Bhardwaj, Sanjay, Rahim, Tariq, Musaddiq, Arslan and Kim, Dong Seong, 2022, Journal of Communications and Networks (24), 1 pp 83-98, Published

View this article

Basis pursuit with sparsity averaging for compressive sampling of iris images

Rahim, Tariq, Magdalena, Rita, Pratama, I. Putu Agus Eka, Novamizanti, Ledya, Ramatryana, I. Nyoman Apraz, Shin, Soo Young and Kim, Dong Seong, 2022, IEEE Access (10) pp 13728-13737, Published

View this article

An improved deep convolutional neural network-based autonomous road inspection scheme using unmanned aerial vehicles

Hassan, Syed Ali, Rahim, Tariq and Shin, Soo Young, 2021, Electronics (10), 22, Published

View this article

RGB-based compressed medical imaging using sparsity averaging reweighted analysis for wireless capsule endoscopy images

Magdalena, Rita, Rahim, Tariq, Pratama, I. Putu Agus Eka, Novamizanti, Ledya, Ramatryana, I. Nyoman Apraz, Raja, Aamir Younas and Shin, Soo Young, 2021, IEEE Access (9) pp 147091-147101, Published

View this article

A blockchain-based artificial intelligence-empowered contagious pandemic situation supervision scheme using internet of drone things

Islam, Anik, Rahim, Tariq, Masuduzzaman, and Shin, Soo Young, 2021, IEEE Wireless Communications (28) pp 166-173, Published

View this article

A deep convolutional neural network for the detection of polyps in colonoscopy images

Rahim, Tariq, Hassan, Syed Ali and Shin, Soo Young, 2021, Biomedical Signal Processing and Control (68), Published

View this article

Compressed medical imaging based on average sparsity model and reweighted analysis of multiple basis pursuit

Rahim, Tariq, Novamizanti, Ledya, Apraz Ramatryana, I. Nyoman and Shin, Soo Young, 2021, Computerized Medical Imaging and Graphics (90), Published

View this article

Exploiting de-noising convolutional neural networks DnCNNs for an efficient watermarking scheme: a case for information retrieval

Rahim, Tariq, Khan, Saud, Usman, Muhammad Arslan and Shin, Soo Young, 2021, IETE Technical Review (38), 2 pp 245-255, Published

View this article

A survey on contemporary computer-aided tumor, polyp, and ulcer detection methods in wireless capsule endoscopy imaging

Rahim, Tariq, Usman, Muhammad Arslan and Shin, Soo Young, 2020, Computerized Medical Imaging and Graphics (85), Published

View this article

Video-based traffic accident prevention safety system using deep learning

Han, Seung Heon, Chae, Seog, Park, Jae Han, Hassan, Syed Ali, Rahim, Tariq and Shin, Soo Young, 2020, Journal of Korean Institute of Communications and Information Sciences (45), 8 pp 1399-1406, Published

View this article

Subjective evaluation of ultra-high definition (UHD) videos

Rahim, Tariq and Shin, Soo Young, 2020, KSII Transactions on Internet and Information Systems (14), 6 pp 2464-2479, Published

View this article

A video quality assessment method for VoIP applications based on user experience

Li, Chengcai, Fei, Zesong, Rahim, Tariq, Wang, Zedong, Wang, Jing and Wang, Fei, 2017, Sensing and Imaging (18), Published

View this article

Edge-guided ControlNet synthetic chest x-ray augmentation and ensemble classification

Abbasi, Negar, Philip, Nada and Rahim, Tariq (2026). IEEE [Published]

View this book section

A multimodal machine learning framework for diagnosis of otitis media with effusion using 3D wideband acoustic immittance

Rahim, Tariq and Zhao, Fei (2025). Piscataway, U.S.: [Published]

View this book section

Enhancing IEEE 802.15.4 access mechanism with machine learning

Musaddiq, Arslan, Rahim, Tariq and Kim, Dong Seong (2021). Piscataway, U.S.: pp 210-212 [Published]

View this book section

Detection of faults in solar panels using deep learning

Han, Seung Heon, Rahim, Tariq and Shin, Soo Young (2021). Piscataway, U.S.: [Published]

View this book section

Improved CNN-based path planning for stairs climbing in autonomous UAV with LiDAR sensor

Choi, Yeon Ji, Rahim, Tariq, Ramatryana, I. Nyoman Apraz and Shin, Soo Young (2021). In: Choi, Y. J., Rahim, T., Ramatryana, I. N. A., Shin, S. Y., (eds.)[Published]

View this book section

e-health and resource management scheme for a deep learning-based detection of tumor in wireless capsule endoscopy videos

Rahim, Tariq, Musaddiq, Arslan and Kim, Dong Seong (2021). pp 48-52 [Published]

View this book section

Introducing 5G+ (28GHz) mmWave campus test-bed

Rahim, Tariq, Musaddiq, Arslan, Lee, Jae-Min and Kim, Dong-Seong (2021). IEEE pp 1005-1009 [Published]

View this book section

Blockchain-assisted UAV-employed casualty detection scheme in search and rescue mission in the internet of battlefield things

Masuduzzaman, Md, Islam, Anik, Rahim, Tariq and Shin, Soo Young (2020). IEEE pp 412-416 [Published]

View this book section

Real-time UAV detection based on deep learning network

Hassan, Syed Ali, Rahim, Tariq and Shin, Soo Young (2019). Piscataway: pp 630-632 [Published]

View this book section

Impact of denoising on watermarking: a perspective for information retrieval

Rahim, Tariq, Khan, Saud, Usman, Muhammad Arslan and Shin, Soo Young (2019). Piscataway: pp 685-689 [Published]

View this book section

An objective assessment method based on multi-level factors for panoramic videos

Yang, Shu, Zhao, Junzhe, Jiang, Tingting, Wang, Jing, Rahim, Tariq, Zhang, Bo, Xu, Zhaoji and Fei, Zesong (2018). St. Petersburg: [Published]

View this book section

A no-reference video quality assessment method for VoIP applications

Jing, Wang, Zedong, Wang, Fei, Wang, Rahim, Tariq and Zesong, Fei (2016). [Published]

View this book section