Ibtasam Wajid | Medicine | Best Researcher Award Published on 13/10/202513/10/2025 by Best Achievements Mr. Ibtasam Wajid | Medicine | Best Researcher Award Shenzhen University China | Pakistan Ibtasam Wajid is a dedicated researcher currently pursuing a PhD in Biomedical Engineering at Shenzhen University, China, with a strong academic foundation in Health Informatics (MS, COMSATS University Islamabad) and Biochemistry (BS, Islamia University of Bahawalpur). Working under the supervision of Prof. Dr. Nadeem Javaid at Comsens Lab, COMSATS University, Islamabad, Ibtasam’s research focuses on the integration of machine learning and deep learning techniques in healthcare, particularly for cardiovascular disease prediction and medical data analysis. His expertise encompasses data science, biomedical signal processing, and artificial intelligence applications in clinical decision-making. He has contributed to publications and collaborative projects, with an h-index of 2, 4 published documents, and over 35 citations on Google Scholar, reflecting his growing influence in computational health research. His technical proficiency includes Python, R-Studio, LaTeX, SPSS, and QGIS, along with hands-on laboratory skills in molecular biology and medical imaging. Beyond research, he has organized workshops and mentored undergraduate students in innovative data-driven healthcare projects. His commitment to scientific advancement and multidisciplinary collaboration positions him as a promising researcher contributing to the future of intelligent healthcare systems. Profile: Scopus | Google Scholar Featured Publications shaq, S., Afzal, S., Usmani, S. A., Wajid, I., Aziz, A., Tahir, R., Ahmad, A., & Ullah, A. (2025). Inflammatory cell death and leukemia treatment. Critical Reviews in Oncology/Hematology, 104909.
Ibtasam Wajid is a dedicated researcher currently pursuing a PhD in Biomedical Engineering at Shenzhen University, China, with a strong academic foundation in Health Informatics (MS, COMSATS University Islamabad) and Biochemistry (BS, Islamia University of Bahawalpur). Working under the supervision of Prof. Dr. Nadeem Javaid at Comsens Lab, COMSATS University, Islamabad, Ibtasam’s research focuses on the integration of machine learning and deep learning techniques in healthcare, particularly for cardiovascular disease prediction and medical data analysis. His expertise encompasses data science, biomedical signal processing, and artificial intelligence applications in clinical decision-making. He has contributed to publications and collaborative projects, with an h-index of 2, 4 published documents, and over 35 citations on Google Scholar, reflecting his growing influence in computational health research. His technical proficiency includes Python, R-Studio, LaTeX, SPSS, and QGIS, along with hands-on laboratory skills in molecular biology and medical imaging. Beyond research, he has organized workshops and mentored undergraduate students in innovative data-driven healthcare projects. His commitment to scientific advancement and multidisciplinary collaboration positions him as a promising researcher contributing to the future of intelligent healthcare systems.
Ibtasam Wajid is a dedicated researcher currently pursuing a PhD in Biomedical Engineering at Shenzhen University, China, with a strong academic foundation in Health Informatics (MS, COMSATS University Islamabad) and Biochemistry (BS, Islamia University of Bahawalpur). Working under the supervision of Prof. Dr. Nadeem Javaid at Comsens Lab, COMSATS University, Islamabad, Ibtasam’s research focuses on the integration of machine learning and deep learning techniques in healthcare, particularly for cardiovascular disease prediction and medical data analysis. His expertise encompasses data science, biomedical signal processing, and artificial intelligence applications in clinical decision-making. He has contributed to publications and collaborative projects, with an h-index of 2, 4 published documents, and over 35 citations on Google Scholar, reflecting his growing influence in computational health research. His technical proficiency includes Python, R-Studio, LaTeX, SPSS, and QGIS, along with hands-on laboratory skills in molecular biology and medical imaging. Beyond research, he has organized workshops and mentored undergraduate students in innovative data-driven healthcare projects. His commitment to scientific advancement and multidisciplinary collaboration positions him as a promising researcher contributing to the future of intelligent healthcare systems.
Ms. Tammy Lea | Health Professions | Best Researcher Award Published on 10/10/2025 by Best Achievements Ms. Tammy Lea | Health Professions | Best Researcher Award University Hospitals Birmingham Nhs trust | United Kingdom Tammy Lea is a Clinical Specialist Physiotherapist specializing in neuro and trauma critical care at the Queen Elizabeth Hospital Birmingham, UK. She has developed advanced assessment and clinical reasoning skills for treating acutely unwell patients. Her expertise encompasses spinal cord injuries, ventilator weaning, traumatic brain injuries, polytrauma, burns, and military personnel injured in combat. She is FUSIC accredited for thoracic lung ultrasound and is a respiratory physiotherapy specialist. Tammy has contributed to research in her specialty area, including leading a quality improvement project on a multimodal respiratory weaning intervention for adult spinal cord injury patients, which was published in the Spinal Cord journal. Additionally, she co-authored a study on simulation-based education for on-call respiratory physiotherapists, published in the Journal of the Association of Chartered Physiotherapists in Respiratory Care. Her work has been presented both nationally and internationally. However, specific details regarding her h-index, citation counts, and the number of documents she has authored are not publicly available. Profile: Oricd Featured Publications Lea, T. J., Harriman, A. J. C., Hodson, J., & Weblin, J. (2025). A multimodal respiratory weaning intervention for adult critical care patients mechanically ventilated with cervical spinal cord injury: A quality improvement project. Spinal Cord. Advance online publication
Tammy Lea is a Clinical Specialist Physiotherapist specializing in neuro and trauma critical care at the Queen Elizabeth Hospital Birmingham, UK. She has developed advanced assessment and clinical reasoning skills for treating acutely unwell patients. Her expertise encompasses spinal cord injuries, ventilator weaning, traumatic brain injuries, polytrauma, burns, and military personnel injured in combat. She is FUSIC accredited for thoracic lung ultrasound and is a respiratory physiotherapy specialist. Tammy has contributed to research in her specialty area, including leading a quality improvement project on a multimodal respiratory weaning intervention for adult spinal cord injury patients, which was published in the Spinal Cord journal. Additionally, she co-authored a study on simulation-based education for on-call respiratory physiotherapists, published in the Journal of the Association of Chartered Physiotherapists in Respiratory Care. Her work has been presented both nationally and internationally. However, specific details regarding her h-index, citation counts, and the number of documents she has authored are not publicly available.
Tammy Lea is a Clinical Specialist Physiotherapist specializing in neuro and trauma critical care at the Queen Elizabeth Hospital Birmingham, UK. She has developed advanced assessment and clinical reasoning skills for treating acutely unwell patients. Her expertise encompasses spinal cord injuries, ventilator weaning, traumatic brain injuries, polytrauma, burns, and military personnel injured in combat. She is FUSIC accredited for thoracic lung ultrasound and is a respiratory physiotherapy specialist. Tammy has contributed to research in her specialty area, including leading a quality improvement project on a multimodal respiratory weaning intervention for adult spinal cord injury patients, which was published in the Spinal Cord journal. Additionally, she co-authored a study on simulation-based education for on-call respiratory physiotherapists, published in the Journal of the Association of Chartered Physiotherapists in Respiratory Care. Her work has been presented both nationally and internationally. However, specific details regarding her h-index, citation counts, and the number of documents she has authored are not publicly available.