Mandana Sadat Ghafourian is a dedicated and accomplished Biomedical Engineer whose academic journey and research contributions have been focused on cutting-edge fields like Machine Learning, Neuroscience, and Signal Processing. Born in Mashhad, Iran, she pursued her higher education with distinction, ranking first in her Bachelor’s program at Sajjad University, and later earning her Master’s degree at Khajeh Nasir University of Technology in Tehran. She is currently a Ph.D. candidate at Ferdowsi University of Mashhad. Her academic excellence is complemented by a significant research trajectory, where she explores the intersection of artificial intelligence with medical applications, specifically focusing on EEG and ECG signals, epilepsy prediction, and brain signal processing.
Profile
Scopus
Education
Mandana’s academic foundation began with a Bachelor of Science degree in Biomedical Engineering from Sajjad University, where she ranked first among 69 students, reflecting her dedication to excellence. She continued her studies with a Master’s degree in Biomedical Engineering from Khajeh Nasir University of Technology, where she further honed her skills in machine learning and biomedical applications. Her research skills were significantly enhanced through a joint scholarship, allowing her to spend a year conducting doctoral research in Neuroscience at the University of Picardy Jules Verne in France. Currently, she is pursuing her Ph.D. in Biomedical Engineering at Ferdowsi University of Mashhad, where her research focuses on EEG signal processing and the use of deep learning techniques for medical diagnoses.
Experience
Mandana has developed a strong teaching and professional background. As a lecturer at Sajjad University since 2018, she has taught a range of courses, including those on brain signal processing, artificial intelligence, bioelectric phenomena, and hospital medical equipment. Her role as a teacher has expanded to developing curricula and offering workshops on various technical topics such as artificial intelligence applications in healthcare. In addition to her teaching duties, she has also worked as a medical equipment specialist at Mashhad University of Medical Sciences, where she gained hands-on experience in the healthcare and medical device sectors. Her professional experience as a technical supervisor further strengthens her capacity to bridge the gap between theoretical research and real-world medical applications.
Research Interests
Mandana’s primary research interests lie in the application of artificial intelligence and machine learning to biomedical engineering. Her work explores the use of deep learning, reinforcement learning, and other AI techniques to address complex problems in neuroscience and medical diagnostics. Notably, she has contributed significantly to research on epilepsy detection, cancer treatment optimization, and stress control using physiological signals like EEG, ECG, and heart rate. She is particularly interested in the development of AI models that can predict medical conditions and control therapies in real time, such as optimizing warfarin dosages for diabetic patients and predicting seizures based on EEG signal analysis.
Award
Mandana’s dedication and academic excellence have earned her several prestigious awards. She ranked first in her undergraduate program, which led to her admission to the Ph.D. program through the Outstanding Talent pathway. Her recognition continued with her selection as a National Elites Foundation scholar in 2019-2020. Additionally, she received the prestigious Eiffel France Scholarship for advanced research in 2019, which allowed her to further expand her international research experience. Furthermore, Mandana’s contributions to the academic community have been recognized through awards for her research presentations, including the Best Poster Award at the 2nd International Razavi Epilepsy Congress.
Publication Top Note
“Optimizing warfarin dosing in diabetic patients through BERT model and machine learning techniques,” The Journal of Computers in Biology and Medicine, 2025.
“Development of Model Predictive Control by Reinforcement Learning to treat Cancer with Mixed of Chemotherapy and Anti-Angiogenic,” Advances in Hematology and Oncology Research, 2025.
“Detection of Epileptic Seizures Using EEG Signal Processing,” The Neuroscience Journal of Shefaye Khatam, 2018.
“Anxiety Control Using Q-Learning,” The Neuroscience Journal of Shefaye Khatam, 2016.
“Breast Cancer Lesion Detection Using Combination Classifiers Based on Ultrasound and Elastography Images,” Information Technology in Engineering Design.
“Seizure Prediction Based on Analysis of Extracting and Selecting EEG Features using Dominant Amplitude and Frequency Components,” The 2nd International Razavi Epilepsy Congress, Best Poster Award.
Conclusion
Mandana Sadat Ghafourian’s academic and professional journey exemplifies her dedication to the fields of Biomedical Engineering and Artificial Intelligence. With a rich background in education, research, and hands-on experience, she continues to make valuable contributions to the medical field. Her research, which bridges neuroscience and AI, holds significant promise for improving diagnostic and therapeutic processes in healthcare. Through her teaching, research, and professional achievements, Mandana is paving the way for future innovations in medical technologies, particularly in the areas of brain signal processing, machine learning, and medical diagnostics.