Prof. Syed M. Imaduddin
Syed M. Imaduddin
Assistant Professor, Biomedical Engineering & Biotechnology, Khalifa University
Imad received his PhD in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology (MIT) in 2022 prior to serving as Postdoctoral Associate at MIT’s Institute for Medical Engineering and Science (IMES). Imad’s research interests revolve around developing continuous noninvasive methods for neurovascular monitoring by combining physiological modeling, signal-processing, machine-learning, and imaging techniques.
Foremost, Imad developed methods for noninvasive continuous brain monitoring, collaborating with physicians at leading tertiary care centers in the USA, such as Boston Children’s Hospital and Boston Medical Center. As part of an international collaboration with scientists at the Japan Aerospace Exploration Agency, his techniques have been successfully applied to the study of spaceflight-associated neuro-ocular injury in astronauts returning from outer-space. Imad’s work has garnered publications in journals including the IEEE Transactions on Biomedical Engineering and the IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control. His work has garnered funding from and collaboration with industry sponsors, including Philips Research North America, Analog Devices, Butterfly Network, and Texas Instruments, and has led to multiple patent filings.
For his work, Imad received the Ernst A. Guillemin Award for best MS Thesis in Electrical Engineering at MIT in 2018. He was awarded the Grass Instruments Fellowship in Electrical Engineering & Computer Science at MIT, and also received the President’s Gold Medal for best undergraduate performance in Electrical Engineering at the National University of Science and Technology, Pakistan, in 2015. In 2023, as part of MIT IMES, he was awarded an IMES Spot Award that recognizes individuals and teams for going out of their way to create a positive, inclusive work environment. He has previously served as an Instructor of Cardiovascular Pathophysiology in the MIT-Harvard Health Sciences and Technology program, a longstanding collaboration between MIT and Harvard Medical School. Most recently, he was made a member of the IEEE EMBS Technical Committee on Cardiopulmonary Systems and Physiology-Based Engineering.
At Khalifa University, Imad aims to conduct design and develop medical devices for brain and cardiovascular monitoring. He continues his work on neuromonitoring as before.
Dr. Samit Kumar Ghosh
Postdoctoral Fellow, Khalifa University
Dr. Samit Kumar Ghosh is a Postdoctoral Fellow in the Department of Biomedical Engineering & Biotechnology at Khalifa University. He earned his DPhil (PhD) in Electrical and Electronics Engineering from the Birla Institute of Technology and Science (BITS) Pilani, India, and holds both B.Tech. and M.Tech. degrees in Electronics and Communication Engineering. His research focuses on biomedical signal processing, machine learning, deep learning for healthcare, time–frequency analysis, renal healthcare, tele-healthcare monitoring, and communication engineering. His work aims to develop AI-driven solutions for biomedical and healthcare applications, bridging the gap between engineering innovation and medical impact. He has authored more than 40 peer-reviewed papers in leading international journals and conferences, and his research has been presented at numerous prominent international venues. He also serves as a regular reviewer for several reputed journals and conferences in his field. At the MDEAP Lab, he is currently working on novel AI-based approaches for noninvasive neuromonitoring.
Fatima Almarzooqi
PhD Student, Khalifa University
I am a Ph.D. student in Biomedical Engineering at Khalifa University, pursuing the direct doctoral track after completing my B.Sc. in Biomedical Engineering. I am interested in discovering and developing new biomedical devices and exploring advanced materials that can improve clinical practice and lead to better patient outcomes, with a particular interest in rehabilitation applications and in collecting meaningful data to guide and optimize patient care. My experience includes projects in enzyme biochemistry, graphene-based composites, and neuroscience, as well as research training at the Bio and Brain Engineering Lab at KAIST in South Korea. I am passionate about contributing to the field of biomedical engineering by translating scientific ideas into practical solutions that support patients and clinicians.
Eymaan Alhammadi
PhD Student, Khalifa University
Eymaan Alhammadi is an Emirati Biomedical Engineering PhD student at Khalifa University of Science and Technology. She believes artificial intelligence will serve as the bridge to more holistic medicine, one that truly understands the patient. Her aim is to reimagine the tools available to clinicians. She holds a Bachelor of Science in Computer Engineering from Khalifa University, graduating with Dean's List recognition, during which she developed a deeper appreciation for efficiency and systematic thinking. Since then, Eymaan has gained industry experience at Emaar PJSC and serves as a Teaching Assistant at Khalifa University. Her current work focuses on physiology-aware explainable AI for noninvasive intracranial pressure monitoring.
Shaima Alsabri
MSc Student, Khalifa University
Shaima Ismail Alsabri is a Master’s student in Biomedical Engineering and Biotechnology at Khalifa University and a graduate in Medical Diagnostic Imaging. She has gained extensive clinical experience across major hospitals in the UAE, working with imaging modalities including X-ray, MRI, CT, Ultrasound, and Nuclear Medicine. Her academic interests focus on medical imaging technologies, the application of AI in diagnostics, and innovations that enhance safety, efficiency, and accuracy in radiology.
Lab Alumni
Dana AlMarzooqi, BSc BME, KU, 2024-2025
Shurooq AlShehhi, BSc BME, KU, 2024-2025
Namaa Almemari, BSc BME, KU, 2024-2025
Abedalqader Arafat, BSc CS, KU, 2025
Moath Al Qaderi, BSc BME, KU, 2025
Elisa T. Xia, SB EECS, MIT, 2024-2025
Dr. Ghada Alhussein, Postdoctoral Associate, KU, 2024-2025
Interested in Joining Our Team?
We are hiring PhD students!
If you are passionate about research on ultrasound imaging, medical device design, or biomedical signal processing, please reach out to Prof. Imaduddin at
syedmuhammad.imaduddin@ku.ac.ae