Role
Dr Syed Ghufran Khalid is a Senior Lecturer in Electronics Engineering and Course Leader for the MSc Electronic Communications Engineering. He is a module leader of postgraduate modules of advanced digital signal processing and wireless communication and has supervised a large portfolio of MSc and PhD research projects. Dr Khalid leads the Smart Wearable Technologies & Design Research Group, driving interdisciplinary research in wearable sensors, biomedical signal processing, and AI-enabled health technologies. He also contributes to student engagement through pastoral support, mentoring, placement tutoring, and leadership of major school-wide initiatives such as the Grand Challenge.
Career overview
Syed Ghufran Khalid completed his PhD in Electronic Engineering at Anglia Ruskin University, UK, where he developed an innovative cuffless blood pressure estimation technology using only photoplethysmography from finger pulses—work that led to a patent application. He also holds an MSc in Medical Engineering (Medical Imaging) from the Royal Institute of Technology (KTH), Sweden, where he designed an electronic sudometer to support patients with hyperhidrosis. His academic journey began with a BS in Biomedical Engineering from Sir Syed University, Pakistan, during which he developed the Insulcagon pump, an assistive device for individuals with diabetes.
Before joining NTU, Dr Khalid gained extensive academic and clinical experience across multiple institutions. He served as a Visiting Lecturer in the Biomedical Engineering Department at Birmingham City University, teaching MSc modules and supervising postgraduate research projects. Alongside his academic responsibilities, he worked as a Clinical Engineer at Kettering General Hospital NHS Trust and as a MEMS Engineer at Guy’s and St Thomas’ NHS Foundation Trust, where he managed the life cycle of a wide range of medical devices, including testing, commissioning, maintenance, and safety assurance.
Dr Syed Ghufran Khalid serves as an External Examiner for postgraduate programmes in Electronic and Electrical Engineering, Energy and Power Systems Management, and related disciplines at the University of Portsmouth, as well as for the MSc Electronic and Electrical Engineering delivered at the Military Technological College in Muscat, Oman. In these roles, he ensures the maintenance of academic standards, fairness and consistency in assessment, and alignment with national benchmark expectations. In addition, he has contributed to programme development and quality assurance as an External Panel Member for the approval of the BEng (Hons) Biomedical Engineering programme at Anglia Ruskin University, where he evaluated curriculum design, learning outcomes and academic standards, and provided recommendations to support the successful approval of the programme.
His broader professional experience spans roles as a Post-doctoral Researcher at Coventry University and Anglia Ruskin University, contributing to impactful research in digital healthcare, sensor design, and medical technology development. He has also worked as a Biomedical Engineer in industry, specialising in the sales, service, and maintenance of critical medical equipment such as ventilators, anaesthesia machines, and patient monitoring systems. In addition, he previously served as a Senior Lecturer in Biomedical Engineering, delivering lectures and supervising engineering projects. Dr Khalid has taught biomedical engineering across three countries—Pakistan, China, and the UK—reflecting his global academic engagement and commitment to advancing engineering education. He is also a Fellow of UK Higher Education Academy.
Research areas
Syed Ghufran Khalid is an academic and researcher with a multidisciplinary focus centred on the intersection of electronics, digital signal processing, and healthcare technology. His primary research area is the physiological measurements in which he developed a cuffless and non-invasive physiological monitoring systems. This is powerfully exemplified by his PhD thesis, "Innovative Cuffless Blood Pressure Estimation using Photoplethysmography," where he developed and evaluated machine learning approaches for continuous blood pressure monitoring. This work culminated in a filed international patent (PCT/GB2020/052064), demonstrating the significant innovative and commercial potential of his research. His expertise spans biosignal processing, machine learning, embedded systems and wireless data transmission.
Building on this foundation, his research extends into smart wearable technologies and sensor design. As the leader of the "Smart Wearable Technologies & Design" research group, Dr Syed coordinates cross-disciplinary efforts to create the next generation of intelligent wearable systems. This involves expertise in smart materials, flexible electronics, and AI-driven medical technologies aimed at creating comfortable and adaptable devices for continuous health monitoring. His work often involves the entire development lifecycle, from electronic prototype hardware development and sensor interfacing with PCs and smartphones to pilot and clinical study design.
Furthermore, Dr Syed has a strong research interest in medical instrumentation, diagnostics, and medical device lifecycle management. His teaching and supervision cover areas such as biomedical instrumentation, sensing, and wireless communication for medical applications. He has supervised numerous MSc projects involving computer software, sensor hardware, and mobile applications for physiological measurements. His professional experience as a Medical Engineer within the NHS, underscores his commitment to translating engineering principles into practical, clinically relevant tools for early diagnosis, monitoring, and the management of medical equipment.
Dr Syed is exploring opportunities to collaborate with experts in 5G wireless networks to test and validate the developed technologies for low-resource areas in the UK. This project could also prove beneficial for remote villages in low-income countries.
External activity
Syed actively engages in academic and research collaborations with a diverse range of national and international partners. These esteemed collaborators include Coventry University (UK), Birmingham City University (UK), Malardalen University (Sweden), Air University (Pakistan), Ziauddin University (Pakistan), and Imam Abdul Rahman Bin Faisal University (Saudia Arabia).
Sponsors and collaborators
Syed collaborates with various national and international partners, including Coventry University (UK), Birmingham City University (UK), Malardalen University (SWE), Air University (PAK), Ziauddin University (PAK), and Imam Abdul Rahman Bin Faisal University.
Publications
Journal Papers:
2023 (published)
- Diagnosis of Community-Acquired pneumonia in children using photoplethysmography and Machine learning-based classifier (
- K Kanwal, SG Khalid, M Asif, F Zafar, AG Qurashi Biomedical Signal Processing and Control 87, 105367 (Impact Factor 5.1)
- A Blueprint design of optical-based wristband for non-invasive and continuous health status monitoring of sickle cell disease patients (Ali, S., Khalid,S., Liu, H., Ghazal, A., Ali, U), Journal of Applied Research and Technology, 2023.(Impact Factor 0.56)
2023 (In press)
Signal Quality Comparison of PPG Signal Recorded from Index Fingers of Both Hands (Kehkashan Kanwal, Muhammad Asif, Syed Ghufran Khalid, Sarwar Warsi, Farhana Zafar, Iffat Kiran, Saad Abdullah) .(Impact Factor 2.5)
2022 (published)
- Photoplethysmography Temporal Marker Based Machine Learning Classifier for Anesthesia Drug Detection (Khalid,S., Ali, S., Liu, H., Ghazal, A., Ali, U), Medical & Biological Eng and Computing (MBEC), 2022. (Impact Factor 3.07)
2021 (Published)
- To study the Effect of Acute Infrared Radiation‐Induced Alterations in Human skin at Cellular and Molecular-level Using In‐vivo Confocal Raman Spectroscopy (Ali, S. and Khalid, S), Photodermatology, Photoimmunology & Photomedicine, 2021. DOI: 10.1111/phpp.12714 (Impact Factor 3.2)
- Filtering-induced time shifts in photoplethysmography pulse features measured at different body sites: the importance of filter definition and standardization (Liu, H., Allen, J., KHALID, S., Chen, F. and Zheng, D.), 2021, Physiological Measurement, 2021. DOI: 10.1088/1361-6579/ac0a34 (Impact Factor 2.68)
- Extraction of Coronary Atherosclerotic Plaques From Computed Tomography Imaging: A Review of Recent Methods (Liu, H., Wingert, A., Wang, J., Zhang, J., Wang, X., Sun, J., Chen, F., Khalid, S., Jiang, J. and Zheng, D., 2021), 2021, Frontiers in Cardiovascular Medicine, 8. DOI: 10.3389/fcvm.2021.597568 (Impact Factor 6.05)
- Consistency in Geometry among Coronary Atherosclerotic Plaques Extracted from Computed Tomography Angiography (Haipeng Liu, Aleksandra Wingert, Xinhong Wang, Jucheng Zhang, Jianzhong Sun, Fei Chen, Syed Ghufran Khalid, Yinglan Gong, Ling Xia, Jun Jiang, Jian' Wang, Dingchang Zheng) (Impact Factor 4.7)
2020 (Published)
- Comparison of different modulations of photoplethysmography in extracting respiratory rate: from a physiological perspective (H Liu, F Chen, V Hartmann, SG Khalid, S Hughes and D Zheng), Physiological Measurement, 41(9), October 2020. DOI: 10.1088/1361-6579/abaaf0 (Impact Factor 2.68)
- Cuffless Blood Pressure Estimation Using Single-Channel Photoplethysmography: A Two-Step Method ((Syed Ghufran Khalid, Haipeng Liu, Tahir Zia, Jufen Zhang, Fei Chen, Dingchang Zheng), IEEE Access, Vol.8, March 2020, Pages. 58146 - 58154. DOI: 10.1109/ACCESS.2020.2981903 (Impact Factor 3.47)
2018 (Published)
- Blood Pressure Estimation using Photoplethysmography only: Comparison between Different Machine Learning Approaches (Syed Ghufran Khalid, Jufen Zhang, Fei Chen, Dingchang Zheng), Journal of Health Care Engineering, October 2018. DOI: 10.1155/2018/1548647. (Impact Factor 4.22)
2016 (Published)
- Quantification of Radial Arterial Pulse Characteristics Change during Exercise and Recovery, (Wang A,Yang L, Wen W, Zhang S, Hao D, Khalid SG, Zheng D), The Journal of Physiological Sciences, Volume 68/2, December 2016, Pages 113- 120. DOI: 10.1007/s12576-016-0515-7 (Impact Factor 2.25)
Conferences (2009-2010):
- Advancement in Insulcagon Pump Simulating as an Artificial Pancreas For the Treatment of Diabetes, (S.Ghufran Khalid, M.Iqbal Bhatti, Kamran Hameed), International Conference of Information and EmergingTechnologies (ICIET), 2010, DOI: 10.1109/ICIET.2010.5625698
- Significance of Insulcagon Pump in the Treatment of Diabetes, (M.Iqbal Bhatti, Kamran Hameed, S.Ghufran Khalid), World Congress on Medical Physics and Biomedical Engineering, IFMBE,2009, DOI: 10.1007/978-3-642-03885-3_179
PhD Thesis (Published):
- Innovative cuffless blood pressure estimation using photoplethysmography signal only: development and evaluation of machine learning approaches
Masters Thesis (Published):
Quantification of Hyperhidrosis using Electronic Sudomete
Press expertise
- Physiological measurements
- Bio-signal processing
- Video signal processing
- Wireless data communications
- Electronic instrumentation
- Software development
My teaching and research are closely aligned with the following UN Sustainable Development Goals (UNSDGs).