Tag: Healthcare Engineering Innovation Award

Fatemeh Akbarzadeh | Health and Engineering | Best Researcher Award

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Mrs. Fatemeh Akbarzadeh | Health and Engineering | Best Researcher Award

Medical Physicist at Guilan University of Medical Sciences, Iran.

Fatemeh Akbarzadeh is a distinguished medical physicist from Rasht, Iran, holding an M.Sc. in Medical Physics from Kermanshah University of Medical Sciences, where she achieved a GPA of 3.953/4. Her research interests encompass cancer treatment, targeted therapy, drug delivery, and nanotechnology applications in oncology. Akbarzadeh has authored several publications in reputable journals, focusing on advanced therapeutic techniques, including the use of bismuth oxide nanoparticles for photodynamic therapy. She is also a patent holder for synthesizing targeted drug delivery systems, highlighting her innovative contributions to the field. With extensive experience as a Medical Physicist in various hospitals, she bridges theoretical research and clinical practice effectively. Despite her accomplishments, she could benefit from increased collaboration and broader publication reach. Overall, Fatemeh Akbarzadeh’s dedication to advancing cancer treatment and her strong academic background position her as a valuable asset in medical physics research.

Profile

Education

Fatemeh Akbarzadeh holds a Master of Science in Medical Physics from Kermanshah University of Medical Sciences, where she excelled with a remarkable GPA of 3.953 out of 4. Her graduate studies, completed in 2018, focused on integrating physics principles with medical applications, particularly in cancer treatment and radiotherapy. Prior to her master’s degree, she earned her Bachelor of Science in Radiotherapy Technology from Tehran University of Medical Sciences in 2014, achieving a GPA of 3.670 out of 4. This foundational education equipped her with essential skills in radiotherapy techniques and patient care, laying the groundwork for her research in targeted therapy and drug delivery systems. Fatemeh’s academic journey reflects her commitment to advancing medical technology and improving patient outcomes through innovative approaches in cancer diagnosis and treatment, positioning her as a knowledgeable professional in the field of medical physics.

Professional Experience

Fatemeh Akbarzadeh has extensive professional experience in the field of medical physics, specifically in radiation therapy. She is currently a Medical Physicist at Razi Hospital in Rasht, Guilan, Iran, where she applies her expertise in dosimetry and treatment planning to enhance patient care in oncology. Prior to this role, she worked at Velayat Hospital in Qazvin for three years, focusing on the implementation of radiation protection protocols and quality assurance measures in therapeutic procedures. Her earlier experience also includes serving as a Laboratory Expert in the Toxicology and Pharmacology Department at Kermanshah University of Medical Sciences, where she honed her skills in toxicology assessments and experimental research. This diverse background equips her with a comprehensive understanding of both the theoretical and practical aspects of medical physics, enabling her to contribute significantly to cancer treatment methodologies and enhance the effectiveness of radiotherapy.

Research Interest

Fatemeh Akbarzadeh’s research interests lie at the intersection of medical physics and oncology, focusing primarily on innovative strategies for cancer treatment. She explores targeted therapy, drug delivery, and photodynamic therapy, leveraging advancements in nanotechnology to enhance therapeutic efficacy. Her work emphasizes the development of nanoparticles, specifically bismuth oxide nanoparticles, for targeted drug delivery systems, aiming to improve the precision and effectiveness of cancer therapies while minimizing side effects. Additionally, her research encompasses radiation therapy, radiobiology, imaging, and dosimetry, contributing to a comprehensive understanding of how these modalities can be optimized for better patient outcomes. Fatemeh is particularly interested in the interplay between novel therapeutic agents and established treatment methods, seeking to create synergistic approaches that harness the strengths of both to combat cancer more effectively. Her commitment to advancing cancer diagnosis and treatment through rigorous scientific inquiry positions her as a significant contributor to the field of medical physics.

Research Skills

Fatemeh Akbarzadeh possesses a diverse and robust skill set that underpins her research in medical physics and cancer treatment. Her expertise includes cell culture and toxicology assessment, enabling her to conduct in vitro studies effectively. She is proficient in various assays, such as the MTT assay, Caspase-3 assay, and mitochondrial membrane potential assay, allowing her to evaluate cytotoxicity and therapeutic efficacy. Fatemeh’s skills extend to nanoparticle synthesis and drug conjugation, crucial for her work on targeted therapies and photodynamic treatment strategies. Additionally, she is adept at utilizing advanced software tools, including ImageJ, Prism, and SPSS, for data analysis and interpretation. Her experience with treatment planning systems (Monaco, PCRT-3D) and dosimetry further enhances her capability to contribute to radiotherapy advancements. Overall, Fatemeh’s comprehensive skill set not only supports her research endeavors but also positions her as a valuable contributor to the field of oncology and medical physics.

Award and Recognition

Fatemeh Akbarzadeh has garnered significant recognition for her innovative contributions to the field of medical physics, particularly in cancer treatment. With multiple publications in reputable journals, her research focuses on targeted therapy and nanotechnology, showcasing her commitment to advancing oncological therapies. Notably, she holds a patent for the synthesis of bismuth oxide nanoparticles, enhancing photodynamic therapy efficacy. Her academic excellence is reflected in her impressive GPA during her Master’s studies, affirming her strong foundation in the field. Additionally, she has actively participated in various international conferences, presenting her findings and fostering collaborations within the scientific community. Akbarzadeh’s role as a Medical Physicist in prominent hospitals further underscores her practical expertise and dedication to applying research findings in clinical settings. Her continuous pursuit of knowledge and innovation positions her as a leading figure in medical physics, making her a deserving candidate for awards and recognitions in her field.

Conclusion

Fatemeh Akbarzadeh is a commendable candidate for the Best Researcher Award, given her strong educational background, significant contributions to cancer treatment research, and practical experience as a Medical Physicist. Her innovative approaches in utilizing nanotechnology for drug delivery and photodynamic therapy position her as a promising researcher in her field. By addressing areas for improvement, particularly in collaboration and publication strategies, she can further enhance her research impact and recognition. Her dedication to advancing cancer treatment through rigorous scientific inquiry makes her a valuable asset to the medical physics community.

Publication Top Notes

  • In vitro outlook of gold nanoparticles in photo-thermal therapy: a literature review
    • Authors: H. Norouzi, K. Khoshgard, F. Akbarzadeh
    • Year: 2018
    • Journal: Lasers in Medical Science
    • Volume/Issue/Page: 33, 917-926
    • Citations: 126
  • Investigating the cytotoxicity of folate-conjugated bismuth oxide nanoparticles on KB and A549 cell lines
    • Authors: F. Akbarzadeh, K. Khoshgard, L. Hosseinzadeh, E. Arkan, D. Rezazadeh
    • Year: 2018
    • Journal: Advanced Pharmaceutical Bulletin
    • Volume/Issue/Page: 8(4), 627
    • Citations: 25
  • Evaluating the photodynamic therapy efficacy using 5-aminolevulinic acid and folic acid-conjugated bismuth oxide nanoparticles on human nasopharyngeal carcinoma cell line
    • Authors: F. Akbarzadeh, K. Khoshgard, E. Arkan, L. Hosseinzadeh, …
    • Year: 2018
    • Journal: Artificial Cells, Nanomedicine, and Biotechnology
    • Volume/Issue/Page: 46(sup3), S514-S523
    • Citations: 19
  • Ratiometric bioassay and visualization of dopamine β-hydroxylase in brain cells utilizing a nanohybrid fluorescence probe
    • Authors: N. Amin, A. Afkhami, L. Hosseinzadeh, F. Akbarzadeh, T. Madrakian, …
    • Year: 2020
    • Journal: Analytica Chimica Acta
    • Volume/Issue/Page: 1105, 187-196
    • Citations: 10
  • Enhancement of the effect of novel targeted 5-aminolevulinic acid conjugated bismuth oxide nanoparticles-based photodynamic therapy by simultaneous radiotherapy on KB cells
    • Authors: F. Akbarzadeh, K. Khoshgard
    • Year: 2024
    • Journal: Photodiagnosis and Photodynamic Therapy
    • Volume/Issue/Page: 46, 104025
    • Citations: 2
  • Cytotoxicity of 5-ALA-conjugated bismuth oxide nanoparticles on KB cell line
    • Authors: F. Akbarzadeh, K. Khoshgard, L. Hosseinzadeh, E. Arkan
    • Year: 2018
    • Journal: Iranian Journal of Medical Physics
    • Volume/Issue/Page: 15 (Special Issue-12th Iranian Congress …)
  • Investigating the cytotoxicity of folate and 5-aminolevulinic acid-conjugated bismuth oxide nanoparticles on KB and A549 cell lines
    • Authors: F. Akbarzadeh, K. Khoshgard, L. Hosseinzadeh, E. Arkan, D. Rezazadeh
    • Year: 2018

 

Ali Motie Nasrabadi | Biomedical Engineering | Best Researcher Award

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Prof. Ali Motie Nasrabadi | Biomedical Engineering | Best Researcher Award

Professor at Shahed University, Iran

Prof. Ali Motie Nasrabadi is a renowned academic and researcher in the field of Biomedical Engineering, specializing in the intelligent processing of EEG signals, computational neuroscience, and artificial intelligence in healthcare applications. He earned his Ph.D. in Biomedical Engineering from Amirkabir University of Technology in 2004, where his research focused on evaluating consciousness and hypnosis depth through EEG signal analysis. With a career spanning decades, Prof. Nasrabadi has contributed extensively to EEG/ERP signal processing, nonlinear and chaotic systems, and physiological modeling. He has published over 100 peer-reviewed papers and continues to influence the fields of biomedical signal processing and neuroscience.

Profile

Education

Prof. Ali Motie Nasrabadi has a distinguished academic background in Biomedical Engineering, with his education centered at the Amirkabir University of Technology in Tehran, Iran. He earned his Ph.D. in Biomedical Engineering in March 2004, with a dissertation titled “Quantitative and Qualitative Evaluation of Consciousness Variation and Depth of Hypnosis through Intelligent Processing of EEG Signals.” His doctoral research focused on advanced signal processing techniques applied to biomedical data. Prior to that, he completed his M.Sc. in Biomedical Engineering in September 1998, where he specialized in the “Design and Implementation of an 8-channel PC-Based Electroencephalograph.” This work demonstrated his early interest in biomedical instrumentation and signal analysis. Prof. Nasrabadi began his academic journey with a B.Sc. in Electronic Engineering in February 1994, focusing on the “Design and Implementation of Control of Satellite Dish to Get Better Signal.” His strong foundation in electronic engineering and biomedical systems has been integral to his success in applying engineering principles to healthcare challenges.

Professional Experience

Prof. Ali Motie Nasrabadi has had a distinguished career across both academic and industrial sectors. He has served as the Vice Chancellor for Support and Resource Management at Shahed University from 2017 to 2021, where he played a pivotal role in overseeing resource management. Prior to this, he was the Director General of Equipment at Shahed University, a position he held from 2004 to 2021. His expertise in biomedical signal processing has led to consultancy roles, including being an EEG Signal Processing Consultant at the National Brain Mapping Laboratory (NBML) since 2016. In this capacity, he has also designed and organized brain signal processing workshops at NBML. Prof. Nasrabadi has been actively involved in industrial and technology consulting as well. Since 2014, he has been a Technology and E-commerce Consultant at Shenasa Venture Capital and Trigup Accelerator. Earlier in his career, he worked as a researcher at the Research Center for Intelligent Signal Processing (RCISP) from 2001 to 2006 and the Laser and Optical Group at the Research Center for Science and Technology in Medicine (RCSTIM) from 1998 to 2004. His wide-ranging experience reflects his strong influence in both academia and industry, particularly in the fields of biomedical engineering and signal processing.

Research Interest

Prof. Ali Motie Nasrabadi’s research interests are deeply rooted in the intersection of biomedical engineering and signal processing. His primary focus is on artificial intelligence in healthcare applications, where he explores the potential of AI to enhance medical diagnostics and treatments. He is also heavily involved in computational neuroscience, studying the brain’s complex systems through computational models. Prof. Nasrabadi specializes in chaotic and nonlinear signal processing, applying advanced techniques to understand irregular biological signals. A significant portion of his research is dedicated to the recording and processing of EEG/ERP/LFP/ECoG signals, where he analyzes brain activity patterns for medical and cognitive insights. Additionally, he is interested in the modeling of physiological systems, where he creates mathematical representations of biological processes to better understand and predict their behavior. This broad array of research areas positions Prof. Nasrabadi as a leading figure in applying advanced computational methods to solve complex challenges in healthcare and neuroscience.

Research Skills

Prof. Ali Motie Nasrabadi possesses a diverse set of skills that span across various domains of biomedical engineering and computational analysis. He is an expert in MATLAB and C programming, which he uses for designing and implementing algorithms for signal processing and neural network modeling. His proficiency with EEGLAB and SPM software makes him adept at processing and analyzing EEG and brain signals, essential for neuroscience research. Additionally, Prof. Nasrabadi is skilled in SPSS, which he uses for statistical data analysis, allowing him to interpret complex biomedical data. His deep understanding of chaos theory and nonlinear dynamics further complements his expertise, enabling him to analyze and quantify irregular physiological signals. These technical and computational skills are integral to his contributions in fields such as artificial intelligence, signal processing, and healthcare.

Award and Recognition

Prof. Ali Motie Nasrabadi has received several awards and recognitions throughout his distinguished academic and research career. He achieved First Rank in his B.Sc. program from the Department of Electrical Engineering at Amirkabir University of Technology, with an impressive average score of 18.16 out of 20. Similarly, he was awarded First Rank in his M.Sc. program from the Department of Biomedical Engineering at Amirkabir University of Technology, with an outstanding average score of 18.63 out of 20. His significant contributions to the field of biomedical engineering, particularly in signal processing and artificial intelligence applications, are reflected in his high H-index of 31 in Google Scholar and H-index of 23 in Scopus, underscoring the impact of his research in the global scientific community.

Conclusion

Considering Prof. Ali Motie Nasrabadi’s extensive academic achievements, innovative research in biomedical signal processing, significant publication record, industry-related activities, and leadership roles, he is highly suitable for the Research for Best Researcher Award. His work has had a profound impact on the field of biomedical engineering, particularly in the analysis and processing of EEG signals, making him a deserving candidate for this prestigious recognition.

Publications Top Notes

  • Title: EEG Classification of ADHD and Normal Children Using Non-linear Features and Neural Network
    • Citations: 220
    • Year: 2016
  • Title: Detecting Driver Mental Fatigue Based on EEG Alpha Power Changes During Simulated Driving
    • Citations: 153
    • Year: 2015
  • Title: A New Automatic Sleep Staging System Based on Statistical Behavior of Local Extrema Using Single Channel EEG Signal
    • Citations: 110
    • Year: 2018
  • Title: Determining Fault’s Type and Accurate Location in Distribution Systems with DG Using MLP Neural Networks
    • Citations: 105
    • Year: 2009
  • Title: A Review on EEG Signals Based Emotion Recognition
    • Citations: 103*
    • Year: 2018
  • Title: The Emotion Recognition System Based on Autoregressive Model and Sequential Forward Feature Selection of Electroencephalogram Signals
    • Citations: 83
    • Year: 2014
  • Title: EEG-based Mental Task Classification: Linear and Nonlinear Classification of Movement Imagery
    • Citations: 69
    • Year: 2006
  • Title: Emotion Classification Through Nonlinear EEG Analysis Using Machine Learning Methods
    • Citations: 68
    • Year: 2018

 

Yasamin Haririan | Biomedical Engineering | Best Researcher Award

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Ms. Yasamin Haririan | Biomedical Engineering | Best Researcher Award

Research Assistant at Science and Research branch of Azad University, Iran

Yasamin Haririan is a distinguished researcher with a Master’s degree in Medical Engineering (Biomaterials) from Science and Research University and a Bachelor’s in Textile Science Engineering from Amirkabir University of Technology. She has made significant contributions to the field through her patent on advanced wound dressings and multiple research papers in prominent journals. Her research focuses on stem cell engineering, peptide hydrogels, and wound healing technologies. Yasamin’s experience spans roles as a Research Assistant, Teaching Assistant, and Project Assistant, showcasing her hands-on skills and instructional capabilities. Her awards include grants from the Iran Nanotechnology Innovation Council and accolades for her master’s thesis. With a strong foundation in both technical and soft skills, Yasamin demonstrates a solid commitment to her field. To further enhance her profile, increasing her international research impact and improving her English proficiency could be beneficial.

Profile

Education

Yasamin Haririan has a robust educational background in the field of biomaterials and textile science. She completed her M.Sc. in Medical Engineering (Biomaterials) at Science and Research University in Tehran, Iran, from September 2020 to September 2022, graduating with distinction and an impressive GPA of 3.7/4. Her academic performance was further highlighted by a degree classification of 1st. Prior to this, Yasamin earned her B.Sc. in Textile Science Engineering (Textile Technology) from Amirkabir University of Technology (AUT) in Tehran, where she studied from September 2015 to May 2020. Her undergraduate studies included a significant improvement in her last two semesters, achieving a GPA of 3.15/4, reflecting her growing expertise and dedication to her field. This strong academic foundation provided her with the skills and knowledge essential for her research and professional endeavors.

Professional Experience

Yasamin Haririan has demonstrated substantial expertise through her diverse professional experiences. As a Research Assistant since January 2022, she has focused on fabricating electro-spun chitosan-based wound dressings and conducting in vivo tests. She also served as an Instructor in April 2024, teaching Academic Photoshop to graduate and Ph.D. students at Tarbiat Modares University. Her role as an Author Assistant and Editor from February 2021 to April 2023 involved translating and editing scientific content for a book on polyurethanes in medicine. Additionally, Yasamin worked as a Teaching Assistant, managing class projects and homework related to controlled drug release systems and hydrogels. Her project assistantship in May-July 2022 included coordinating a startup on novel skin substitute scaffolds. Furthermore, her internship as a Medical Engineer in 2021 provided hands-on experience in monitoring and maintaining medical devices.

Research Interest

Yasamin Haririan’s research interests primarily focus on advancing biomaterials and regenerative medicine. Her work in stem cell engineering, particularly with mesenchymal stem cells, aims to explore their potential for tissue repair and regeneration. Yasamin is deeply involved in developing peptide hydrogels for bone regeneration, which involves designing and optimizing these materials to enhance their effectiveness in supporting bone growth. Additionally, her research encompasses surface modification techniques and hybrid microparticle/gel systems, which are crucial for improving the performance and functionality of biomaterials. By investigating these areas, Yasamin seeks to contribute to the creation of innovative solutions for wound healing and tissue engineering. Her interdisciplinary approach combines expertise in biomaterials, nanotechnology, and regenerative medicine, reflecting a commitment to addressing complex challenges in these fields and advancing the understanding and application of cutting-edge biomedical technologies.

Research Skills

Yasamin Haririan demonstrates exceptional research skills across multiple areas of biomaterials and medical engineering. Her technical expertise encompasses the preparation and characterization of hydrogels and polymeric scaffolds, advanced cell culture techniques, and comprehensive analysis using methods such as MTT assays, UV-vis spectroscopy, FTIR, and SEM. Yasamin is proficient in designing and fabricating electro-spun wound dressings and bio-composite materials, with a particular focus on integrating natural extracts for enhanced wound healing. Her research contributions are underscored by her work on carboxymethyl chitosan-gelatin-mesoporous silica nanoparticles and the development of novel wound dressings. Yasamin’s skills extend to software proficiency, including Microsoft Office, Adobe Photoshop, and statistical tools like SPSS and GraphPad Prism. Additionally, her ability to manage and implement research projects, combined with effective communication and teamwork, underscores her comprehensive approach to research and development in her field.

Award and Recognition

Yasamin Haririan has garnered notable awards and recognition for her outstanding contributions to the field of biomaterials and medical engineering. She was honored with the “Prominent Published Research Paper” grant from the Iran Nanotechnology Innovation Council in May 2024, acknowledging her impactful research. Yasamin also received the “Top Master’s Thesis” prize during Research Week at Science and Research University in December 2023, celebrating her exceptional master’s thesis work. Additionally, she was awarded the “Prominent Defended Master’s Thesis” grant from the Iran Nanotechnology Innovation Council in October 2023, further recognizing her innovative research. Yasamin’s achievements include being selected as a top Ph.D. candidate in the national entrance exam of Iran for Biomaterials at the Material and Energy Research Center in August 2023. These accolades reflect her significant contributions and dedication to advancing research in her field.

Conclusion

Yasamin Haririan is a highly promising candidate for the “Best Researcher Award.” Her strong academic performance, impressive research contributions, relevant expertise, and recognition through awards highlight her as a dedicated and impactful researcher. Addressing the areas for improvement, such as increasing her research impact and enhancing language proficiency, could further strengthen her candidacy and elevate her profile in the global research community. Overall, Yasamin’s qualifications and achievements make her a compelling candidate for this prestigious award.

Publications Top Notes

Carboxymethyl Chitosan-Gelatin-Mesoporous Silica Nanoparticles Containing Myrtus communis L. Extract as a Novel Transparent Film Wound Dressing

  • Authors: Y. Haririan, A. Asefnejad, H. Hamishehkar, M.R. Farahpour
  • Journal: International Journal of Biological Macromolecules
  • Year: 2023
  • Volume: 253
  • Article Number: 127081