Role
Syed Ghufran Khalid serves as a Lecturer in the Department of Engineering and holds the role of Module Leader for ENGG30131: Wireless and RF Communication. In addition to this, he is actively involved in teaching and guiding students through the ENGG10031 Electronic Devices and Material Technology and ENGG20011 Biomedical Imaging and Sensing modules. Syed also dedicates his expertise to supervising MSc projects.
Career overview
Syed Ghufran completed his PhD at Anglia Ruskin University, UK, where he developed cuffless blood pressure estimation technology solely from finger pulses (for which he applied for a patent). He also holds an MSc degree in Medical Engineering/Medical Imaging from the Royal Institute of Technology (KTH), Sweden. During his time at KTH, he innovatively designed an electronic sudometer, a device designed to assist hyperhidrosis patients. For his undergraduate studies, he pursued a BS in Biomedical Engineering at Sir Syed University, Pakistan, where he created an innovative device called the Insulcagon pump, catering to diabetes patients.
Before joining NTU, he served as a visiting lecturer in the Biomedical Engineering Department at Birmingham City University (BCU). In this role, he delivered lectures to MSc students and supervised MSc projects. Concurrently, he worked as a full-time clinical engineer at Kettering General Hospital NHS Trust, where he managed the life cycle of medical devices and equipment. He also served as a MEMS Engineer at Guys and St Thomas Hospital NHS Trust, performing similar responsibilities. Additionally, he worked as a Post-doctoral Researcher at both Coventry University and Anglia Ruskin University.
His professional experience also includes serving as a Biomedical Engineer, specializing in the sales and servicing of medical equipment, such as medical ventilators and anesthesia units. Furthermore, he held the position of Senior Lecturer in the Department of Biomedical Engineering, where he delivered lectures and supervised final-year undergraduate projects.
Research areas
Cuffless Blood Pressure Estimation: Syed has developed a unique machine learning algorithm that estimates blood pressure using the photoplethysmography signal alone. Currently, he is preparing to collect more participant data for the validation of this healthcare technology.
Respiratory Rate Detection: Syed is actively involved in the development of non-invasive biosensors for heart rate detection. One of Syed's students has developed an app that measures respiratory rate using only the accelerometer. Syed is interested in further developing a smartphone app that can be used by everyone to measure respiratory rate.
Telehealth Technologies Development: 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), 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), 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
- Big data analysis
- Electronic medical device development
- Software development
- Electronic device validation and verification
My teaching and research are closely aligned with the following UN Sustainable Development Goals (UNSDGs).
