School of Mechanical & Manufacturing Engineering

Medical Device Design & Prototyping

The research group is dedicated to advancing the development of Medical Device Design & Prototyping meeting international standards. Our vision is to pioneer interdisciplinary approaches to create solutions that enable local manufacturing of medical devices with a focus on import deletion and providing cost effective solutions to societal benefit. The group works on advancing clinical diagnostics through innovative measurement techniques and biomedical instrumentation. This includes the development of cutting-edge sensors and novel measurement methodologies, with a special emphasis on non-invasive approaches, evaluation of measurement uncertainty, and the design of robust testing and calibration procedures for both static and dynamic systems.
    • Biomedical Instrumentation.
    • Biomedical Signal and Image Processing.
    • Medical device design and standards.

Our Team

Meet Our Research Team


Dr Asim Waris
Group Lead – PhD Biomedical Engineering

 

 


Dr Javaid Iqbal
PhD – Mechanical Engineering
Dr Muhammad Nabeel Anwar
PhD – Biomedical Engineering And Bioelectronics

 


Dr Amer Sohail Kashif
PhD – Bioengineering
Dr Danyal Mahmood
PhD – EEG Signal processing and Analysis

 

 


Dr Ahmed Fuwad
PhD – Mechanical Engineering

Medical Device Design & Prototyping

1.     Faisal, M., Khosa, I., Waris, A., Gilani, S. O., Khan, M. J., Hazzazi, F., & Ijaz, M. A. (2025). Optimizing the impact of time domain segmentation techniques on upper limb EMG decoding using multimodal features. PLoS One, 20(5), e0322580.

2.     Tariq, S., Waris, A., Iqbal, J., Khan, N. B., Gilani, S. O., Mushtaq, S., ... & Mushtaq, K. (2025). Evaluation of balance and orthotic gait training techniques for rehabilitation in hemiplegic stroke patients. Scientific Reports, 15(1), 15059.

3.     Yasmeen, S., Waris, A., Amin, F., Iqbal, J., Gilani, S. O., Khan, M. J., ... & Ijaz, M. A. (2025). Identification and quantification of muscular cocontraction for ankle rehabilitation through variational mode decomposition in surface electromyography. Scientific Reports, 15(1), 14847.

4.     Nayab, M., Waris, A., Jawad Khan, M., AlQahtani, D., Imran, A., Gilani, S. O., & Shah, U. H. (2025). Gaussian process latent variable models-ANN based method for automatic features selection and dimensionality reduction for control of EMG-driven systems. Frontiers in Artificial Intelligence, 8, 1506042.

5.     Tabassum, S., Khan, M. J., Iqbal, J., Waris, A., & Ijaz, M. A. (2025). Automated karyogram analysis for early detection of genetic and neurodegenerative disorders: a hybrid machine learning approach. Frontiers in Computational Neuroscience, 18, 1525895.

6.     Saeed, A., Waris, A., Fuwad, A., Iqbal, J., Khan, J., AlQahtani, D., ... & Alzheimer’s Disease Neuroimaging Initiative. (2024). Random survival forest model for early prediction of Alzheimer’s disease conversion in early and late Mild cognitive impairment stages. Plos one, 19(12), e0314725.

7.     Ashraf, H., Schwartz, C., Waris, A., Brüls, O., & Boutaayamou, M. (2024, July). Temporal Convolutional Network for Gait Event Detection. In 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 1-4). IEEE.

8.     Amin, F., Waris, A., Syed, S., Amjad, I., Umar, M., Iqbal, J., & Gilani, S. O. (2024). Effectiveness of Immersive Virtual Reality Based Hand Rehabilitation Games for Improving Hand Motor Functions in Subacute Stroke Patients. IEEE Transactions on Neural Systems and Rehabilitation Engineering.

9.     Amin, F., Waris, A., Iqbal, J., Gilani, S. O., Rehman, M. Z. U., Mushtaq, S., ... & Tamam, N. (2024). Maximizing stroke recovery with advanced technologies: A comprehensive assessment of robot-assisted, EMG-Controlled robotics, virtual reality, and mirror therapy interventions. Results in Engineering, 21, 101725.

10.  Ullah, A., Waris, A., Shafiq, U., Khan, N. B., Saeed, Q., Tassadaq, N., ... & Ali, H. T. (2024). ExoMechHand prototype development and testing with EMG signals for hand rehabilitation. Medical Engineering & Physics, 124, 104095.

11.  Afzal, U., Saeed, Q., Anwar, M. N., Pervaiz, S., Shahid, M., Javed, R., ... & Lee, S. W. (2024, August). Comparison of Health Parameters in Postpartum Diastasis Recti: A Randomized Control Trial of SEMG Biofeedback-Assisted Core Strengthening Exercises with Kinesiotaping vs. Non-Assisted Exercises. In Healthcare (Vol. 12, No. 16, p. 1567). MDPI.

12.  Hadi, Z., Umbreen, A., Anwar, M. N., & Navid, M. S. (2021). The effects of unilateral transcranial direct current stimulation on unimanual laparoscopic peg-transfer task. Brain Research, 1771, 147656.

13.  Ahmad, H., Gori, M., Tonelli, A., Anwar, M. N., & Sandini, G. (2019, April). Visual Size Perception and Haptic Calibration After Late Emergence from Blindness. In PERCEPTION (Vol. 48, pp. 106-107). 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND: SAGE PUBLICATIONS LTD.

14.  Ong, C. W., Nisar, H., & Mahmood, D. (2025). Anxiety brain topographic maps and its classification using quantitative electroencephalography. In Intelligent Computing Techniques in Biomedical Imaging (pp. 217-238). Academic Press.

15.  Nisar, H., Ong, Y. N., & Mahmood, D. (2024, September). Analyzing the Effect of Relaxing Natural Sounds on the Human Brain During Alpha Up-Regulation Neurofeedback Training. In 2024 IEEE 8th International Conference on Signal and Image Processing Applications (ICSIPA) (pp. 1-5). IEEE.

16.  Mahmood, D., Nisar, H., & Tsai, C. Y. (2024). Exploring the efficacy of neurofeedback training in modulating alpha-frequency band and its effects on functional connectivity and band power. Expert systems with applications, 254, 124415.

17.  Mahmood, D., Riaz, H. N., & Nisar, H. (2023). Introduction to Non-Invasive Biomedical Signals for Healthcare. In Advances in Non-Invasive Biomedical Signal Sensing and Processing with Machine Learning (pp. 1-24). Cham: Springer International Publishing.

18.  Mahmood, D., Nisar, H., & Voon, Y. V. (2021, December). Removal of physiological artifacts from electroencephalogram signals: a review and case study. In 2021 IEEE 9th Conference on Systems, Process and Control (ICSPC 2021) (pp. 141-146). IEEE.

19.  Development of Residual Dense U-Net (RDU-Net) based metal artefacts reduction technique using Spectral Photon Counting CT

20.  Noor, A., Waris, A., Gilani, S. O., Kashif, A. S., Jochumsen, M., Iqbal, J., & Niazi, I. K. (2021). Decoding of ankle joint movements in stroke patients using surface electromyography. Sensors, 21(5), 1575.

21.  Ashraf, H., Waris, A., Gilani, S. O., Kashif, A. S., Jamil, M., Jochumsen, M., & Niazi, I. K. (2021). Evaluation of windowing techniques for intramuscular EMG-based diagnostic, rehabilitative and assistive devices. Journal of Neural Engineering, 18(1), 016017.
1.     Development of Electro-Medical Devices starting with Dialysis Machine: PKR 35M

2.     EMG Triggered Lower Limb Rehabilitation Device for Stroke Patients: PKR 95K

3.     Design and Development of EMG Driven Exoskeleton for Post Stroke Rehabilitation: PKR165M

4.     Development of Myo Prosthetic Upper Limb (14.35 Million PKR)

5.     Myo-Electric Prosthetic Upper Limb (1 Million PKR)

6.     Analysis of variations in brain states and impact of Stimulation during behavioral task

7.     AI for Data Sciences and Analytics – ICESCO

8.     Disability Inclusion – United Nations-ODC

9.     Conversion of Conventional X-ray Machine to Digital Radiography (DR) System

10.  Artifact removal and identification of rock samples through Mars CT Images in collaboration with Khalifa University, UAE

11.  Digital Image Elasto-tomography for breast cancer screening

12.  Development of air ambulance in Cessna C-207C

13.  Halotherapy for treatment of asthma and skin diseases

14.  Tissue mimicking - fabrication of breast phantoms

15.  Development of a Low-Cost Biomimetic Sensor for Rapid Detection of Human Diseases (Funded MS NUST)

16.  Design of a Controlled Drug Delivery System for Targeted Ophthalmic Conditions (Funded by PhD NUST – Samsung Hospital Korea)

17.  Designing of microfluidic based organ on chip system for human disease modeling and personalized medicine (Collaborators: National Research Foundation of Korea)
1.     Gait Analysis using sEMG and IMU fusion using Machine Learning models

2.     Design and development of smart sensors based cranial orthosis for the treatment of nonsynostotic skull deformities in infants

3.     Generative AI and Deep Tech based Framework for Histopathological Image Staining and Analysis

4.     High-Density EMG for the Assessment and Evaluation of Low Back Pain

5.     Impact of tDCS and auditory white noise stimulation, simultaneously on the dynamic and static posture: Comparative EMG Analysis of Stroke, Parkinson's, and Office Worker Subjects

6.     Adaptive Posture Correction: A Wearable Smart Brace with Mobile Integration

7.     Multimodal Brain Signal Processing: EEG and BOLD Data Fusion

8.     Enhancing EEG Signal Quality: Real-Time Artifact Removal Framework

9.     AI-Driven Early Detection of Neurofeedback Training Response Using EEG

10.  Sleep and Mobility in Amputees: A Wearable Data Approach to Rehabilitation and Fall Prevention