Mandana Sadatghafourian | Biomedical engineering | Best Researcher Award

Published on by Global Academic Awards

Mrs. Mandana Sadatghafourian | Biomedical engineering | Best Researcher Award

Mrs. Mandana Sadatghafourian, Ferdowsi University of Mashhad, Iran

Mandana Sadat Ghafourian is a dedicated biomedical engineer 🎓 with a B.Sc. (Ranked 1st), M.Sc., and ongoing Ph.D. in Biomedical Engineering from prestigious Iranian institutions 🇮🇷. She specializes in machine learning 🤖, neuroscience 🧠, signal/image processing 📊, and deep learning. A lecturer at Sajjad University, she has led groundbreaking projects, including Alzheimer’s diagnosis and seizure prediction using AI. Recognized with the Eiffel France Scholarship 🇫🇷 and National Elites Foundation honors, her work spans publications, workshops, and technical supervision in medical equipment. Fluent in English and Persian, she enjoys basketball 🏀, swimming 🏊, and music 🎶.

 

Publication Profile

Google Scholar

Education 🎓

Mandana Sadat Ghafourian has an impressive academic background in Biomedical Engineering. She earned her B.Sc. (Ranked 1st among 69 students) from Sajjad University, Mashhad, Iran (2011-2015) 🏅, with a GPA of 17.69. She pursued her M.Sc. at Khajeh Nasir University of Technology, Tehran, Iran (2015-2017) 📚, achieving a GPA of 16.61. Currently, she is completing her Ph.D. at Ferdowsi University of Mashhad (2018–Present) 📖, with a GPA of 17.57. Mandana also conducted a one-year doctoral research project in Neuroscience 🧠 at the University of Picardy Jules Verne, Amiens, France 🌍, supported by a joint Iran-France Scholarship.

Fields of Interest 🌟

Mandana Sadat Ghafourian is deeply passionate about advancing technology and science in several cutting-edge fields. Her interests include Machine Learning and Artificial Intelligence 🤖, where she explores intelligent systems and predictive models. She is equally engaged in Neuroscience 🧠, delving into brain functions and neural dynamics. Mandana specializes in Signal and Image Processing 📊, working on innovative techniques to analyze complex biomedical data. Her expertise extends to EEG and ECG 🩺, focusing on brain and heart signal analysis, and she is proficient in Deep Learning 📈, leveraging neural networks to solve complex biomedical engineering challenges.

Teaching Experience 🎓

Mandana Sadat Ghafourian has an extensive teaching portfolio in biomedical engineering and related fields. She has conducted courses on Brain Signal Processing 🧠 and Python to Deep Learning 💻 at Sajjad University. Mandana has led hands-on workshops, including EEG Brain Signal Recording 📊 at Khavaran University and Artificial Intelligence Applications 🤖 at Mashhad University of Medical Sciences. Her experience includes teaching Physiology Laboratory Courses 🧪, Hospital and Medical Clinic Equipment 🏥, and Bioelectric Phenomena ⚡ at Sajjad University. Additionally, she has developed curricula and taught Electrical Safety in Hospitals ⚕️, Electronics, and Linear Control courses, showcasing her academic versatility.

Honors and Awards 🏆

Mandana Sadat Ghafourian has earned several prestigious accolades during her academic journey. She ranked 1st overall in her Bachelor’s degree program among 69 students 🥇. Her exceptional performance granted her admission to the Ph.D. program through the Outstanding Talent pathway 🎓. Mandana was also selected as a National Elites Foundation scholar 🌟 at Ferdowsi University of Mashhad during the 2019-2020 academic year. Adding to her achievements, she was awarded the esteemed Eiffel France Scholarship 🇫🇷 in 2019, reflecting her dedication and excellence in biomedical engineering and research.

Work Experience 💼

Mandana Sadat Ghafourian has a robust professional background in biomedical engineering and education. She served as a Medical Equipment Specialist at Mashhad University of Medical Sciences from 2018 to 2020 🏥. Since 2018, she has been a dedicated Lecturer at Sajjad University 🎓, where she has delivered Python to Deep Learning courses and conducted three Signal Processing courses 💻. Additionally, she works as a Technical Supervisor for the production and distribution of medical equipment, a role she has held since 2018 and 2021, respectively 🔧. Her expertise bridges academia and industry with a focus on innovation and practical application.

Research Focus 🔬💻

Mandana Sadat Ghafourian’s research centers on biomedical engineering, signal processing, and artificial intelligence. She has extensively explored medical applications of machine learning, including optimizing anesthesia systems using fuzzy logic 🤖, diagnosing obstructive sleep apnea through HRV signal processing 🫁, and developing neural network-based models for controlling Hepatitis B infections 🧬. Her work also delves into epilepsy prediction and seizure detection using deep learning and EEG signal analysis 🧠. Additionally, she has investigated stress and anxiety control through Q-learning models 🩺. Her interdisciplinary approach bridges neuroscience, AI, and biomedical signal processing, focusing on innovative healthcare solutions. 🌟

Publication Top Notes

  • Applying GA optimization algorithm for interval type-2 Fuzzy logic controller parameters of multivariable anesthesia system
    Cited by: 6 🔢 | Year: 2018 📅
  • Obstructive sleep apnea syndrome diagnosis using HRV signal processing
    Cited by: 4 🔢 | Year: 2019 📅
  • Controlling Hepatitis B virus infection using PID like neural network
    Cited by: 1 🔢 | Year: 2019 📅
  • Predicting Epilepsy and Deep Learning
    Year: 2021 📅
  • Predicting Epilepsy and Deep Learning. Some Aspects of Epilepsy
    Year: 2021 📅
  • Glucose Control Level Using Radial Basis Function Network and Gradient Descent
    Year: 2020 📅
  • P81: Detection of Epileptic Seizures Using EEG Signal Processing
    Year: 2018 📅
  • Stress Detection and Control According to the Skin Signal of Electrical Resistance and Heart Rate Using Reinforcement Learning
    Year: 2018 📅
  • Designing an intelligence model for seizure prediction using ECG signal
    Year: 2017 📅
  • P14: Anxiety Control Using Q-Learning
    Year: 2016 📅
  • The 2nd International Neuroinflammation Congress and 2nd Student Festival of Neuroscience
  • The Third International Anxiety Congress

Conclusion

Mrs. Mandana Sadat Ghafourian is an outstanding candidate for the Research for Best Researcher Award. Her exemplary academic record, impactful research, teaching contributions, and practical applications in biomedical engineering and neuroscience make her a deserving nominee. 🌟

Sara Mahshid | Biomedical Engineering | Best Researcher Award

Published on by Global Academic Awards

Prof. Sara Mahshid | Biomedical Engineering | Best Researcher Award

Prof. Sara Mahshid, McGill, Canada

Based on the information provided about Prof. Sara Mahshid, here’s an assessment of her suitability for the “Best Researcher Award” considering her credentials:

Publication profile

Education

Prof. Sara Mahshid holds a robust educational background with a PhD in Materials Science & Engineering (2006-2011) from Sharif University of Technology, Iran. She also earned her M.Sc. (2003-2005) and B.Sc. (1999-2003) in Materials Science & Engineering from the same institution. This solid academic foundation underpins her expertise in the field.

Academic Appointments

Prof. Mahshid is currently an Assistant Professor in the Department of Bioengineering at McGill University (since 2017). Her diverse experience includes roles as a Post-Doctoral Researcher at the University of Toronto and McGill University, and as a Lecturer at Monash University, Malaysia. These positions reflect a strong track record in both teaching and research across various institutions.

Professional Affiliations

Her affiliations with prestigious institutions, such as the Division of Experimental Medicine, McGill University, and several interdisciplinary initiatives, showcase her active involvement in advancing her field. Memberships in the Center of Antimicrobial Resistance (AMR) and the McGill Interdisciplinary Initiative in Infection and Immunity (Mi4) highlight her commitment to tackling critical issues in bioengineering and related areas.

Awards and Distinctions

Prof. Mahshid has received numerous accolades, including the Tech Accel IR Award (2024) and the MI4-PFizer Early Career Investigator Award (2023). Her recognition through the McGill Innovation Fund, William and Rhea Seath Awards, and the Principal’s Prize for Outstanding Emerging Researchers emphasizes her significant contributions and innovations in her research field.

Publication Top Notes

  • Synthesis of TiO2 nanoparticles by hydrolysis and peptization of titanium isopropoxide solution 🌟 – 604 citations, 2007
  • Electrochemical sensors and biosensors based on the use of polyaniline and its nanocomposites: A review on recent advances 📊 – 202 citations, 2019
  • Are plasmonic optical biosensors ready for use in point-of-need applications? 🔬 – 174 citations, 2020
  • A review on recent advancements in electrochemical biosensing using carbonaceous nanomaterials 🔋 – 135 citations, 2019
  • Mixed-phase TiO2 nanoparticles preparation using sol–gel method 🧪 – 134 citations, 2009
  • The potential application of electrochemical biosensors in the COVID-19 pandemic: A perspective on the rapid diagnostics of SARS-CoV-2 🦠 – 132 citations, 2021
  • Sensitive determination of dopamine in the presence of uric acid and ascorbic acid using TiO2 nanotubes modified with Pd, Pt and Au nanoparticles 🧫 – 131 citations, 2011
  • Oxidation mechanism of C in MgO–C refractory bricks 🔥 – 129 citations, 2006
  • Template-based electrodeposition of Pt/Ni nanowires and its catalytic activity towards glucose oxidation ⚛️ – 123 citations, 2011
  • Effect of Al antioxidant on the rate of oxidation of carbon in MgO–C refractory 🧪 – 92 citations, 2007
  • Electrodeposition and electrocatalytic properties of Pt/Ni–Co nanowires for non-enzymatic glucose detection 🧫 – 74 citations, 2013
  • An AgNP-deposited commercial electrochemistry test strip as a platform for urea detection 🧪 – 60 citations, 2020
  • A hierarchical 3D nanostructured microfluidic device for sensitive detection of pathogenic bacteria 🦠 – 58 citations, 2018
  • Mechanistic control of the growth of three-dimensional gold sensors 💎 – 58 citations, 2016
  • Mixed confinement regimes during equilibrium confinement spectroscopy of DNA 🧬 – 57 citations, 2014
  • A Nanostructured Gold/Graphene Microfluidic Device for Direct and Plasmonic-Assisted Impedimetric Detection of Bacteria 🧪 – 56 citations, 2020
  • Experimental evidence of weak excluded volume effects for nanochannel confined DNA 🧬 – 56 citations, 2015
  • Convex lens-induced nanoscale templating 🔬 – 54 citations, 2014
  • Nanopattern-Assisted Direct Growth of Peony-like 3D MoS2/Au Composite for Nonenzymatic Photoelectrochemical Sensing 🌺 – 50 citations, 2020
  • Plasmonic Nanobowtiefluidic Device for Sensitive Detection of Glioma Extracellular Vesicles by Raman Spectrometry 🧬 – 48 citations, 2021

Conclusion

Prof. Sara Mahshid’s distinguished educational background, impressive academic appointments, active professional affiliations, and substantial awards make her a strong candidate for the “Best Researcher Award.” Her ability to overcome challenges and maintain a high level of research excellence further solidifies her suitability for this recognition.