taghreed Ibrahim | Cell Structure Analysis | Best Researcher Award

Posted on by sciencefather

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.

 

 

 

Mrinal Saha | Cell Structure Analysis | Cell Biology Research Award

Posted on by sciencefather

Dr. Mrinal Saha | Cell Structure Analysis | Cell Biology Research Award

Dr. Mrinal Saha , University of Oklahoma , United States

Dr. Mrinal C. Saha is a Professor at the School of Aerospace and Mechanical Engineering at the University of Oklahoma. He earned his PhD in Mechanical Engineering and Mechanics from Old Dominion University in 2001. With extensive experience in academia and research, Dr. Saha has made significant contributions to advanced materials and sensor technologies, including the development of self-powered sensors and environmental remediation technologies. His professional journey includes serving as Associate Professor and Assistant Professor at the University of Oklahoma. He is a seasoned researcher and innovator, holding patents and receiving various best paper awards. Throughout his career, he has been involved in interdisciplinary research, collaborating with experts across various fields to enhance engineering applications in structural health monitoring and nanocomposite technologies.

Publication Profile: 

Scopus

Strengths for the Award:

Mrinal C. Saha’s expertise in mechanical engineering, especially in material science and sensor technology, is highly relevant for interdisciplinary applications, including those in cell biology research. His research has focused on advanced materials such as composite structures, nanocomposites, and self-powered sensors, which could have implications for biosensors and medical devices used in cell biology. His work on embedding sensors in structures and developing multifunctional electrodes is particularly pertinent to cellular monitoring and bioengineering applications. Moreover, his collaborations with prominent researchers, as well as funding from various high-profile sources, demonstrate his ability to lead innovative projects with significant implications for multiple fields.

Areas for Improvement:

While Mrinal C. Saha’s work has an obvious focus on material science and mechanical engineering, his direct experience in cell biology research is less evident. Bridging the gap between his materials-focused research and cell biology could further enhance his suitability for the Cell Biology Research Award. Expanding his network to include collaborations with biologists and bioengineers could help integrate his expertise with biological research directly.

Education:

Dr. Mrinal C. Saha’s educational journey reflects his strong foundation in mechanical engineering. He obtained his PhD in Mechanical Engineering and Mechanics from Old Dominion University, Virginia, USA, in 2001. Before that, he earned an MS in Mechanical Engineering from Tuskegee University, Alabama, USA, in 1996. His academic journey began at the Bangladesh University of Engineering and Technology (BUET), Dhaka, where he completed both his MS and BS in Mechanical Engineering in 1992 and 1988, respectively. His education at BUET equipped him with a solid technical background that has supported his contributions to research in advanced composite materials, sensors, and nanotechnology. Dr. Saha’s academic credentials and his continuous pursuit of knowledge have played a crucial role in shaping his research career, allowing him to make significant strides in the field of mechanical engineering.

Experience:

Dr. Mrinal C. Saha brings a wealth of experience to his role as a Professor at the University of Oklahoma’s School of Aerospace and Mechanical Engineering. With a career spanning over two decades, Dr. Saha has held various academic positions, starting as an Assistant Professor in 2006, advancing to Associate Professor in 2012, and ultimately becoming a full Professor in 2018. Throughout his tenure at OU, he has been involved in cutting-edge research and educational development in the areas of structural health monitoring, additive manufacturing, and nanocomposites. Prior to his current role, Dr. Saha contributed to research initiatives at Tuskegee University, collaborating on high-profile projects with the National Science Foundation and the Federal Aviation Administration. His leadership and collaborative research efforts have resulted in numerous funded projects, publications, and significant technological advancements in aerospace and mechanical engineering.

Awards and Honors:

Dr. Mrinal C. Saha has earned multiple prestigious awards and recognitions for his research and academic contributions. He has been honored with best paper awards for his exceptional work in the areas of nanocomposite materials, sensors, and additive manufacturing. In addition to this, Dr. Saha holds a patent and has been involved in another patent disclosure, demonstrating his innovative contributions to the field. His research achievements have been recognized both nationally and internationally, underscoring his expertise and impact in mechanical and aerospace engineering. Dr. Saha’s work on embedded sensors, multifunctional electrodes, and self-powered technologies has led to significant advances in structural health monitoring and materials science. These accolades not only reflect his research capabilities but also his role as a leader in advancing engineering solutions for real-world applications. Dr. Saha’s continued success in securing research funding and publishing influential papers speaks to his academic excellence.

Research Focus:

Dr. Mrinal C. Saha’s research focuses on the development of advanced materials, self-powered sensors, and innovative manufacturing techniques. His work spans a wide range of areas, including nanocomposite materials, 3D printing, and multifunctional electrodes for environmental remediation and structural health monitoring. He specializes in the design and characterization of high-performance composite structures and sensors, emphasizing flexibility, sensitivity, and durability for various engineering applications. One of his primary research interests is the integration of embedded sensors into materials for real-time damage detection and monitoring. His work on electrospun nanofibers, piezoelectric nanogenerators, and flexoelectric sensors has led to groundbreaking advancements in self-powered systems for aerospace, automotive, and biomedical industries. Dr. Saha’s research is multidisciplinary, blending mechanical engineering, materials science, and sensor technologies to address challenges in the design and performance of smart structures and sustainable engineering solutions.

Publications Top Notes:

  1. Mondal, A., Saha, M.C., Rhule, D. (2025). Experimental Investigation of In-Plane Compressive Characteristics of 3D-Printed Carbon Fiber-Reinforced Epoxy Composite Honeycomb Cores 🏗️📑
  2. Mondal, A., Saha, M.C. (2025). Characterization of In-plane Compressive Response of Triangular Honeycomb Carbon Fiber Epoxy Composites 🧱📚
  3. Maity, K., Saha, M.C. (2025). Design of Flexible and Ultrasensitive 3D Printed Flexoelectric Sensors for Self-Powered Damage Detection ⚡🔧
  4. Mondal, A., Saha, M.C., Maity, K., Altan, M.C., Liu, Y. (2023). Analysis of Fiber Flow, Fiber Orientation, and Void Formation in Material Extrusion of Short Carbon Fiber Epoxy Composites 🧵📊
  5. Rhule, D., Mondal, A., Saha, M.C., Cummings, L., Robison, T. (2023). Effect of Silica and Mixing Time on Microstructures and Properties of Porous Polymer Composite 🧪🧬
  6. Mondal, A., Saha, M.C. (2023). 3D Printing and Characterization of Carbon Fiber Epoxy Composites 🖨️🔬

Conclusion:

Mrinal C. Saha’s background in materials science, sensor technology, and advanced manufacturing methods makes him a strong candidate for the Cell Biology Research Award, provided there is a greater focus on integrating his research with biological applications. His innovative work in sensors and nanocomposites could significantly contribute to advancing biosensors, tissue engineering, and other cell biology-related fields.