taghreed Ibrahim | Cell Structure Analysis | Best Researcher Award

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Ms. taghreed Ibrahim | Cell Structure Analysis | Best Researcher Award

Ms. taghreed Ibrahim , Mansoura University , Egypt

Taghreed Elsayed is an Assistant Lecturer in the field of Computer Science and Control Systems Engineering. She holds a Bachelor’s degree in Computers and Control Systems Engineering from Mansoura University, and has completed a Master’s degree in the same field with a focus on E-learning and Fog Computing. Taghreed is passionate about teaching and research, particularly in the areas of artificial intelligence, cybersecurity, and cloud computing. She has a deep understanding of systems programming, databases, and modern teaching software. Taghreed is also proficient in supervising both undergraduate and master’s students and has designed and implemented curricula for computer science courses. With diverse teaching experience, she has worked at Delta University for Science and Technology, Midocean University, and other academic institutions, providing online and face-to-face instruction in various programming languages and technologies. Her publications and research further showcase her expertise and dedication to the field.

Publication Profile:

Scopus

Strengths for the Award:

  1. Research Excellence: Taghreed Elsayed has demonstrated a strong track record of research, particularly in the fields of E-learning, AI, and healthcare. Her publication on the “Fog-Based Recommendation System for Promoting the Performance of E-Learning Environments” showcases her ability to innovate in educational technologies. Additionally, her work in deep learning techniques for accurate breast cancer diagnosis and predicting bladder cancer recurrence further highlights her multidisciplinary research expertise.

  2. Comprehensive Knowledge: Taghreed has extensive knowledge in critical domains such as artificial intelligence, cybersecurity, image processing, and cloud computing, all of which are highly relevant to current technological trends. This wide-ranging knowledge base contributes significantly to her ability to approach research from various angles.

  3. Industry and Teaching Experience: She has a strong combination of teaching experience and real-world application of computer science in both academia and industry. Her work as an assistant lecturer in various universities, as well as her extensive experience in networking, security, and programming, demonstrates her well-rounded expertise.

  4. Publications and Contributions: Taghreed’s research publications in prestigious journals underline her capacity to contribute valuable knowledge to the academic community. The citations and recognition of her work are a testament to her impact on the field.

Areas for Improvement:

  1. Broader Industry Collaborations: While Taghreed has made notable contributions in both academia and research, her collaboration with the industry could be further expanded. Developing partnerships with tech companies or health organizations could elevate her research impact, particularly in applied fields like healthcare.

  2. Interdisciplinary Research: Although her work bridges the gap between AI and E-learning, there is an opportunity for more interdisciplinary research, especially in the integration of AI with other domains like IoT, smart cities, and robotics. Exploring these intersections may lead to groundbreaking innovations.

  3. Mentorship and Research Leadership: While she supervises students, further mentoring of PhD candidates or leading large-scale research projects would help solidify her position as a leader in the research community.

Education:

Taghreed Elsayed completed her Bachelor’s degree in Computers and Control Systems Engineering at Mansoura University in 2010, with her graduation project on a Smart Elevator, receiving an excellent grade. Following that, she pursued a Pre-Master’s program in the same department in 2014, studying topics like cloud computing, cybersecurity, and artificial intelligence. Taghreed’s Master’s degree, completed in 2020, focused on enhancing E-learning environments using Fog-based Recommendation Systems (FBRS). She published research on this topic, demonstrating her commitment to advancing education technology. Between 2021-2022, Taghreed embarked on Pre-PhD studies, covering advanced topics in AI, cybersecurity, and deep learning, with a particular focus on using AI techniques to detect cancerous tumors. Her academic excellence is reflected in her A+ scores in various subjects, and her publications demonstrate her active contributions to the field.

Experience:

Taghreed Elsayed has extensive experience in teaching and research within the field of Computer Science. She served as an Assistant Lecturer at Delta University for Science and Technology, where she developed and taught computer science courses focused on AI, programming languages (C#, C++, Java, Python), databases, and more. She has also taught at Midocean University, focusing on online courses in information security, cybersecurity, and Internet of Things (IoT). Additionally, Taghreed worked as an instructor at Harvest Training Center, specializing in Cisco networking courses such as CCNA and CCNA Security, and at Elsewedy Technical Academy, where she taught the principles of networking. Her experience extends beyond academia to the industry, where she worked as an IT Engineer at Quick Air Company for Tourism and as a Technical Support Engineer at Exceed in Smart Village, managing and maintaining IT systems, troubleshooting network issues, and ensuring smooth operations.

Research Focus:

Taghreed Elsayed’s research interests lie primarily in the fields of E-learning, artificial intelligence, cybersecurity, and fog computing. Her work explores how emerging technologies can be used to enhance the performance of E-learning environments, focusing on personalized learning experiences through recommendation systems. In her Master’s research, she developed a Fog-based Recommendation System (FBRS) that significantly improves the performance and personalization of E-learning platforms. Her Pre-PhD research centers on applying AI techniques to medical diagnosis, specifically for detecting cancerous tumors using deep learning methods. Taghreed’s interdisciplinary approach bridges technology and education, striving to improve learning outcomes through innovative technological solutions. Her future research goals include advancing AI applications in healthcare and education and exploring new methods for optimizing cybersecurity protocols in the context of smart environments and IoT.

Publications Top Notes:

  • “A Fog-Based Recommendation System for Promoting the Performance of E-Learning Environments” 📘

  • “Accurate Breast Cancer Diagnosis Strategy (BCDS) Based on Deep Learning Techniques” 🩺

  • “CNN-LSTM for Prediction of Bladder Cancer Recurrence and Response to Treatments” 🏥

Conclusion:

Taghreed Elsayed is a deserving candidate for the Best Researcher Award due to her profound contributions to the fields of AI, cybersecurity, and E-learning. Her academic achievements, coupled with her extensive teaching experience and interdisciplinary research, make her a standout figure. By expanding her industry collaborations and fostering deeper interdisciplinary research, she could further solidify her impact and recognition as a leading researcher in her field.

 

 

 

Qasem Ramadan | Cell-Cell Communication | Best Researcher Award

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Assist. Prof. Dr. Qasem Ramadan | Cell-Cell Communication | Best Researcher Award

Assist. Prof. Dr. Qasem Ramadan , Alfaisal University , Saudi Arabia

Dr. Qasem Ramadan is a distinguished researcher and educator, currently serving as an Assistant Professor of Research at Alfaisal University, Riyadh, Saudi Arabia. With a strong academic background in biomedical engineering and a passion for advancing alternative technologies in health care, he has significantly contributed to the development of organ-on-a-chip systems. Dr. Ramadan’s work promotes the 3Rs (Replacement, Reduction, and Refinement) in biomedical research, aiming to replace animal testing with advanced microphysiological models. With fluency in Arabic, English, and intermediate proficiency in French, Malay, and Mandarin, he brings a global perspective to his research. He is known for his dedication to mentoring students, fostering a collaborative and innovative environment.

Publication Profile:

Google Scholar

Strengths for the Award

Dr. Qasem Ramadan is an exemplary candidate for the Best Researcher Award due to his extensive expertise in bio-medical engineering, specifically in the development of advanced in vitro models such as organs-on-a-chip. His research contributions are pioneering in areas such as pharmacokinetics, toxicology, and disease modeling. Dr. Ramadan’s dedication to reducing animal testing through the application of the 3Rs (Replacement, Reduction, and Refinement) principles reflects his commitment to ethical scientific practices. His leadership in multidisciplinary research, combined with his commitment to mentoring students and fostering academic excellence, has had a profound impact on both academic and industry settings. Dr. Ramadan’s track record of high-impact publications, notable patents, and prestigious awards further supports his suitability for the award.

Areas for Improvement

While Dr. Ramadan’s accomplishments are commendable, there is room for enhancing the global visibility of his work. Engaging more actively in high-visibility international conferences and collaborations could further amplify the reach of his research. Expanding cross-disciplinary partnerships could also unlock new applications in biotechnology and healthcare, promoting more impactful translational research.

Education:

Dr. Qasem Ramadan holds a Ph.D. in Bio-Medical Microsystems from Nanyang Technological University (2006), Singapore. His doctoral research focused on the development of magnetic micro-devices for the separation and manipulation of biological components, which forms the foundation for his ongoing work in microfluidics and biomedical technology. He also earned an MSc in Medical Physics from the University of Science in Malaysia in 1999, further enhancing his expertise in the application of physics to medicine. Dr. Ramadan completed his undergraduate studies in Physics at Yarmouk University, Jordan, in 1991. His multidisciplinary educational background has enabled him to bridge the gap between physics, engineering, and medicine, contributing to significant advancements in biomedical research, particularly in organ-on-a-chip technology and biosensors.

Experience:

Dr. Ramadan’s academic career spans over two decades, with extensive experience in both research and education. Currently an Assistant Professor of Research at Alfaisal University, he leads innovative projects in biomedical engineering, particularly focusing on microfluidics and lab-on-a-chip systems. Prior to this, he has worked on numerous groundbreaking projects in biomedical devices and systems, especially in the areas of biosensors, organ-on-a-chip technology, and magnetic bead-based applications. He has collaborated with a variety of international institutions, including Nanyang Technological University, where he completed his Ph.D. His experience in academia is complemented by his leadership in mentoring students and researchers, as well as his involvement in various international committees. Through his research and leadership, Dr. Ramadan has demonstrated a strong commitment to advancing biomedical technologies and improving healthcare applications, particularly in drug development, disease modeling, and toxicology.

Awards and Honors:

Dr. Qasem Ramadan has been recognized for his contributions to the field of biomedical engineering through numerous prestigious awards. He received the Alfaisal University Faculty Award for Research Excellence in 2024, underscoring his impact on the research community. In 2023, he was honored with the Outstanding Reviewer Award from the Royal Society of Chemistry for his work in the Journal of Lab-on-a-Chip. His early career was marked by the 1st Prize Research Award for his first-author publication at the Institute of Microelectronics, Singapore, in 2006. These awards reflect his exceptional contributions to advancing microfluidics and biomedical devices. Dr. Ramadan’s recognition also extends to his editorial work, with significant contributions to high-impact journals in the field. These honors highlight his continuous dedication to advancing biomedical research and his efforts to inspire innovation in both academic and industrial contexts.

Research Focus:

Dr. Qasem Ramadan’s research focuses on developing cutting-edge in vitro micro-physiological models for human organs, specifically organ-on-a-chip technology. His research interests include in vitro disease modeling, pharmacokinetics, toxicology, and the development of biosensors and medical devices. One of his key projects involves creating a micro-physiological model to explore the role of immune-metabolic interactions in insulin resistance and Type II diabetes. He is also pioneering advancements in creating immune-competent models of human skin to study chemical and skin sensitizers and their impact on immune activation. Dr. Ramadan’s work spans several areas, including magnetic bead-based applications, microfluidics, and the development of 3D bioprinting techniques for regenerative medicine. His research aims to replace animal testing with alternative technologies, promoting the principles of the 3Rs (Replacement, Reduction, Refinement). His work has significant implications for advancing drug discovery, personalized medicine, and disease modeling.

Publications Top Notes:

  1. An Integrated and Modular Compartmentalized Microfluidic System for Organs-on-a-Chip 🧬🔬
  2. Hepatic Spheroid-on-a-Chip for Drug Screening 💊🧫
  3. NIR-FRET Imaging of MMP-2 in ALI/ARDS 📸🩺
  4. Emerging Tools Shaping Drug Discovery & Development 🔧💉
  5. Biosensing Platform for Biomarkers in ALI/ARDS 🧪🩸
  6. Innovative Approaches in Drug Discovery 💡💊
  7. Detection of Exosomal miR210 Using Carbon Nanomaterial-Coated Magnetic Beads 🧬⚙️
  8. Immunity-on-a-Chip: Integration of Immune Components 🛡️🔬
  9. Pre-concentration and Detection of Colorectal Cancer Exosomes 🧬🦠
  10. In Vitro Micro-Physiological Immune-Competent Model of the Human Skin 🌱🧪

Conclusion

In conclusion, Dr. Qasem Ramadan’s extensive research in bio-medical microsystems, particularly his contributions to organ-on-a-chip technologies, his leadership in promoting ethical research alternatives, and his impressive academic and professional accomplishments make him a highly deserving candidate for the Best Researcher Award. His work continues to shape the future of biomedical research and healthcare technologies, and his dedication to advancing alternative methods in drug discovery and disease modeling is both innovative and invaluable.