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.

 

 

 

Mrinal Saha | Cell Structure Analysis | Cell Biology Research Award

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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.

Chao Lyu | Cell Structure Analysis | Best Researcher Award

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Prof. Chao Lyu | Cell Structure Analysis | Best Researcher Award

prof. Chao Lyu , Harbin Institute of Technology , China

Chao Lyu is a Professor and Doctoral Supervisor at Harbin Institute of Technology (HIT), China, and an IEEE Senior Member. He earned his B.Eng. and M.Sc. degrees from Northeast Electric Power University in 2001 and 2004, respectively, and his Ph.D. in electrical engineering from HIT in 2007. As an expert in battery modeling and testing, battery health management, and microgrid optimization, he has contributed significantly to these fields with over 50 papers in international journals and conferences. Chao’s research has been supported by the National Natural Science Foundation of China (NSFC), and his pioneering work includes advancements in electrochemical models for battery state assessment. His work has led to international recognition for its impact on battery performance and safety.

Publication Profile:

Google Scholar

Strengths for the Award:

  1. Pioneering Contributions: Chao Lyu has been a trailblazer in the battery research field, especially in advancing battery state assessment techniques using electrochemical models. He was the first to propose a route for such assessments, which has laid the foundation for simplifying and applying these models in real-world applications.
  2. Outstanding Research Impact: His research, particularly in lithium-ion battery modeling and testing, battery health management, and microgrid optimization, is highly impactful. Lyu has an impressive citation index (h-index: 24, i10-index: 32), highlighting the global recognition and influence of his work.
  3. National and Industry Recognition: Lyu has successfully secured multiple National Natural Science Foundation of China grants, and his research has practical applications in energy storage systems for major Chinese power companies, such as Guangdong Power Grid Co., Ltd., and State Grid Corporation of China.
  4. High-Quality Publications: With over 50 publications in prominent journals (Journal of Power Sources, Journal of The Electrochemical Society, etc.), he has made significant contributions to advancing battery performance modeling, degradation prediction, and online health assessments.
  5. Innovation in Multidisciplinary Areas: His research spans a broad spectrum, from battery modeling to the integration of energy storage systems in microgrids, with notable contributions to the optimization of battery systems in energy storage applications.

Areas for Improvement:

  1. Broader Collaboration and Cross-Disciplinary Research: While Lyu has collaborated in several projects, expanding collaborations with experts in other fields (e.g., renewable energy, energy storage systems) could lead to more cross-disciplinary breakthroughs, especially in sustainable energy applications and smart grids.
  2. Commercialization of Research: While his work is academically strong, exploring avenues for the commercialization of his research—especially in battery health management and microgrid optimization—could further enhance the real-world impact and societal benefit of his innovations.
  3. Global Outreach: Given the global significance of his research, enhancing his international visibility through more partnerships with global research institutions could broaden the influence of his work.

Education:

Chao Lyu completed his B.Eng. and M.Sc. degrees at Northeast Electric Power University in Jilin, China, in 2001 and 2004, respectively. He later pursued a Ph.D. in electrical engineering at the Harbin Institute of Technology (HIT), China, graduating in 2007. His academic journey at HIT, known for its robust research focus on electrical engineering, enabled Chao to gain profound expertise in battery technologies, particularly in electrochemical modeling. His doctoral research laid the groundwork for his ongoing studies in battery health management, energy storage, and microgrid systems. Over the years, he has expanded his academic foundation through continuous research, collaboration, and contributions to cutting-edge developments in energy storage and system optimization.

Experience:

Chao Lyu is currently a Professor at the Harbin Institute of Technology’s School of Electrical Engineering and Automation, where he also supervises doctoral students. He has been involved in high-impact research in the field of electrical engineering for more than two decades. His extensive experience includes leadership in several National Natural Science Foundation of China (NSFC)-funded projects focusing on energy storage and battery technology. Chao’s expertise has been demonstrated through over 50 research papers, contributions to industry consulting projects with organizations such as the Electric Power Science Research Institute of Guangdong Power Grid Co., Ltd, and State Grid Corporation of China. His research on lithium-ion batteries and microgrid optimization has gained significant recognition in the scientific community, especially his development of online battery monitoring and health management systems. Chao’s academic and industrial work has positioned him as a prominent figure in his field, with a focus on both theoretical advancements and practical applications.

Research Focus:

Chao Lyu’s research primarily centers on battery modeling and testing, battery health management, and optimal configuration of microgrids integrated with energy storage systems. His work in battery health management includes developing advanced electrochemical models and online monitoring techniques for lithium-ion batteries, enabling real-time assessment of battery states, such as degradation and remaining capacity. He has also worked on optimizing microgrids with energy storage systems to enhance the performance and efficiency of renewable energy sources in varying climatic conditions. His groundbreaking research in simplifying battery electrochemical models and parameter identification has been instrumental in making battery management systems more effective and reliable. Chao’s work has direct implications for enhancing energy storage technology, ensuring the safety and longevity of batteries, and improving the overall performance of microgrid systems. Through various funded research projects, Chao is pushing the frontier of energy systems with a focus on sustainability and technological advancement.

Publication Top Notes:

  1. An Approximate Solution for Electrolyte Concentration Distribution in Physics-based Lithium-ion Cell Models 🌍🔋
  2. A New Extension of Physics-based Single Particle Model for Higher Charge-Discharge Rates ⚡📉
  3. Thermal-Electrochemical Modeling and Parameter Sensitivity Analysis of Lithium-ion Battery 🧑‍🔬🔥
  4. Evaluation on Performance of Lithium-ion Batteries Based on Internal Physical and Chemical Parameters ⚙️🔋
  5. A Method of Remaining Capacity Estimation for Lithium-Ion Battery 🔋🔎
  6. Parallelized Genetic Identification of the Thermal-Electrochemical Model for Lithium-Ion Battery 🔬💻
  7. Multi-objective Optimization of Lithium-Ion Battery Model Using Genetic Algorithm Approach 🎯🔋
  8. Remaining Capacity Estimation of Li-ion Batteries Based on Temperature Sample Entropy and Particle Filter 💡🔋
  9. Parameter Sensitivity Analysis of Cylindrical LiFePO4 Battery Performance Using Multi-Physics Modeling 🔋🔧
  10. Non-destructive Analysis of Degradation Mechanisms in Cycle-aged Graphite/LiCoO2 Batteries 🔍⚡

Conclusion:

Chao Lyu is highly deserving of the Best Researcher Award for his groundbreaking contributions to the field of battery modeling, health management, and optimization of energy storage systems. His pioneering work has set new standards for battery state assessments, and his continuous research, combined with a strong track record of funding and publication, places him at the forefront of his field. With room for further collaboration and commercialization, he has the potential to make even greater contributions to sustainable energy technologies in the future.

 

 

 

Muhammad Irfan | Cell Structure Analysis | Best Researcher Award

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Dr. Muhammad Irfan | Cell Structure Analysis | Best Researcher Award

Dr. Muhammad Irfan , University of sargodha , Pakistan

Dr. Muhammad Irfan, born on April 1, 1983, in Sargodha, is an expert in condensed matter physics with a focus on electronic structure calculations using Density Functional Theory (DFT). He holds a Ph.D. in Physics from the University of Sargodha (2019) and has contributed significantly to the study of electronic, optical, and thermoelectric properties of solid materials. His research is instrumental in optimizing semiconductors used in energy-efficient devices like photovoltaic cells, LEDs, and thermoelectric materials. Dr. Irfan has a wide array of publications in high-impact journals, demonstrating his expertise in material science. With extensive teaching experience and active involvement in research, Dr. Irfan has established himself as a key figure in his field.

Publication Profile:

Scopus

Strengths for the Award:

Dr. Muhammad Irfan has made significant contributions to the field of condensed matter physics, particularly through his work on Density Functional Theory (DFT) simulations. His research has a broad scope, covering material properties such as electronic structure, elasticity, magnetism, and thermoelectrics. His work on optimizing semiconductors for energy-efficient devices like photovoltaics, LEDs, and thermoelectric materials showcases his strong focus on practical applications, contributing to advancements in renewable energy and energy conversion technologies. Dr. Irfan’s extensive publication record in high-impact journals demonstrates his high level of expertise and research capability. His interdisciplinary approach and ability to conduct in-depth simulations make him a strong candidate for the award.

Areas for Improvements:

While Dr. Irfan has an excellent academic background and research experience, expanding his collaborations with international research groups and engaging more in cross-disciplinary research could further enhance the global impact of his work. Additionally, focusing on the development of new experimental techniques or contributing more to patentable technologies would strengthen his standing in the broader scientific community.

Education:

Dr. Irfan’s academic journey began at the University of Sargodha, where he completed his M.Sc. (2006) and M.Phil. (2013) in Physics with top grades. He later earned his Ph.D. in 2019 from the same institution. In addition to his studies in Physics, Dr. Irfan also pursued an M.Ed. (2014) and B.Ed. (2011) from the Allama Iqbal Open University, Islamabad. His commitment to learning is reflected in his strong academic record, with distinctions in all his degrees, and he consistently strives to enhance his knowledge in both teaching and research.

Experience:

Dr. Irfan has diverse teaching experience, serving as an Assistant Professor (visiting) at the University of Lahore and a Research Assistant at Riphah International University. Over the years, he has contributed to various graduate and undergraduate programs, where he specialized in Physics and material science. His teaching approach is grounded in both theoretical and practical applications of condensed matter physics, ensuring that students develop a solid understanding of the subject. Dr. Irfan’s research-driven approach also enhances his teaching, bridging the gap between academia and real-world applications.

Research Focus:

Dr. Irfan’s research primarily focuses on the electronic structure, elasticity, thermoelectric properties, and magnetism of materials using Density Functional Theory (DFT). His work is pivotal in optimizing the properties of semiconductors for advanced applications in energy conversion, photovoltaics, and optoelectronics. He explores the interaction between materials and their interfaces, ensuring efficient charge and heat transfer. By investigating thermoelectric materials with high electrical conductivity and low thermal conductivity, Dr. Irfan aims to improve energy efficiency and sustainability, especially in waste heat recovery and energy conversion technologies.

Publications Top Notes:

  1. Optoelectronic structure and related transport properties of Ag2Sb2O6 and Cd2Sb2O7. 📚
  2. Fermi Surface and Optoelectronic Properties of Pyrochlore Oxide Superconductor (Kos2o6). 📖
  3. Enhanced thermoelectric properties of ASbO3 due to decreased band gap. 🔬
  4. Effects of compressed strain on thermoelectric properties of Cu3SbSe4. ⚡
  5. Structural, electronic, optical, and elastic properties of Ca2Nb2O7 crystals. 🔍
  6. Effect of Coulomb interactions on optoelectronic and magnetic properties of A2V2O7 compounds. 🧪
  7. Thermoelectric features of CaPd3B4O12 perovskites following DFT calculations. 🌍
  8. Doping-induced effects on optical and band structure properties of Sr2Si5N8 phosphors. 💡
  9. Optoelectronic properties of CaO: Eu+2 for energy applications. 🔋
  10. Elastic and optoelectronic properties of CaTa2O6 compounds. 🌟
  11. Doping effects on optical properties of Sr2Si5N8 phosphors: DFT approach. 📊

Conclusion:

Dr. Muhammad Irfan’s exceptional expertise in condensed matter physics, coupled with his consistent academic achievements and dedication to practical applications in renewable energy and materials science, makes him a strong contender for the Research for Best Researcher Award. His contributions have already provided valuable insights into material science, and with ongoing collaborations and innovations, he has the potential to make even greater strides in advancing sustainable technology.

 

 

 

Salam Bani Hani | Cell Structure Analysis | Best Researcher Award

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Dr. Salam Bani Hani | Cell Structure Analysis | Best Researcher Award

Dr. Salam Bani Hani , Irbid National University , Jordan

Dr. Salam Bani Hani is an Assistant Professor and Head of the Nursing Department at Irbid National University, Jordan. She holds a PhD in Nursing Philosophy from the University of Jordan, where she earned a perfect GPA of 4/4. She also holds an MSc in Nursing Service Administration from Jordan University of Science and Technology and a BSN from Al-Al Bayt University. Dr. Bani Hani has a strong academic background, and her research primarily focuses on nursing documentation, healthcare data, and predictive models in healthcare. In addition to her academic role, she has extensive clinical experience, having worked as a patient and family educator in Qatar and a clinical instructor at Al-Al Bayt University. She has made significant contributions to nursing education and research, publishing numerous studies in international journals and presenting at conferences globally. Her expertise bridges clinical practice and academic advancement.

Publication Profile:

Google Scholar

Strengths for the Award:

Dr. Salam Bani Hani demonstrates remarkable expertise in nursing research, with a clear focus on the integration of technology and data analytics in healthcare. Her work on using large-scale data to predict ischemic heart disease and her contributions to nursing documentation through comparative studies of paper-based and electronic health records reflect her ability to tackle relevant, contemporary issues in healthcare. Her research has been widely published in respected journals, with numerous articles on topics such as digital health literacy, the use of artificial intelligence in healthcare, and predicting mortality in heart disease patients. Her academic excellence, reflected in her perfect PhD GPA, coupled with her extensive teaching experience, makes her an exemplary candidate for this award.

Areas for Improvement:

While Dr. Bani Hani’s academic and clinical achievements are impressive, further engagement in collaborative, interdisciplinary research could enhance the impact of her work. Additionally, expanding her outreach through international conferences and workshops could elevate her profile even further.

Education:

Dr. Salam Bani Hani holds a PhD in Nursing Philosophy from the University of Jordan (2019–2022), graduating with an exceptional GPA of 4/4. Her dissertation focused on predicting ischemic heart disease in the Jordanian population using large-scale data. She also holds a Master of Science in Nursing (MSc) in Nursing Service Administration from Jordan University of Science and Technology, where she received a GPA of 94.1. Her thesis explored the quality of nursing documentation, comparing paper-based and electronic health records. She completed her Bachelor of Science in Nursing (BSN) at Al-Al Bayt University in 2011 with an excellent GPA of 88.7. Dr. Bani Hani’s academic achievements are complemented by various specialized training courses, including life support, pain management, and simulation education, all of which contribute to her comprehensive expertise in nursing and healthcare.

Experience:

Dr. Salam Bani Hani currently serves as an Assistant Professor and Head of the Nursing Department at Irbid National University, Jordan. She has been in this role since November 2023. Previously, she was a Clinical Instructor at Al-Al Bayt University, teaching across various nursing fields such as medical-surgical, emergency, and critical care. She has also served as a Patient and Family Educator at Hamad Medical City, Qatar, from 2018 to 2019. Dr. Bani Hani started her clinical career as a Staff Nurse in the emergency ward at Jordan University Hospital, one of the leading hospitals in the Middle East. She has extensive experience in both clinical practice and teaching, specializing in nursing education, patient care, and healthcare management. Additionally, she actively participates in various professional development programs and workshops, contributing significantly to both academia and practice in the nursing field.

Awards and Honors:

Dr. Salam Bani Hani has received numerous accolades in recognition of her academic and professional achievements. She earned the highest honors in her PhD studies, graduating with a perfect GPA of 4/4 from the University of Jordan. Throughout her career, she has contributed to advancing nursing education and practice, and her work has been published in several prestigious journals. Additionally, she has been involved in organizing and attending key nursing conferences, including the 2nd International Nursing Conference in 2023. Dr. Bani Hani’s work in the realm of healthcare data analysis, digital health, and nursing documentation has earned her recognition in both academic and clinical settings. Her dedication to improving healthcare delivery through research and education has been recognized by peers and institutions, positioning her as a leader in the nursing profession. She has also contributed significantly to nursing education through various workshops and specialized training programs.

Research Focus:

Dr. Salam Bani Hani’s research focuses on the intersection of nursing education, digital health, and predictive healthcare models. Her PhD dissertation explored the use of large-scale data to predict ischemic heart disease among the Jordanian population, which aligns with her research interest in healthcare data analytics. She has extensively researched nursing documentation, comparing paper-based versus electronic health records, and has contributed to advancing the field of digital health literacy. Dr. Bani Hani is particularly interested in the application of artificial intelligence (AI) and machine learning in healthcare, with research that investigates how AI can be used to improve patient care and support healthcare decision-making. Her work also delves into the competencies required for oncology nurses and the role of technology in improving clinical practices. Additionally, she has explored the impact of COVID-19 on nursing practices and is actively involved in enhancing nursing education through blended learning and interactive training.

Publications Top Notes:

  • Quality of nursing documentation: Paper‐based health records versus electronic‐based health records 📚
  • Machine-learning algorithms for ischemic heart disease prediction: a systematic review 💻
  • Attitudes of Jordanian Oncology Nurses Toward Computerization 📊
  • Electronic health literacy and its association with lifestyle behavior among undergraduate students 💡
  • Assessment of genetic variation among Jordanian barley landraces (Hordeum vulgare L.) 🌾
  • Large-scale data in health care: a concept analysis 🏥
  • Transforming cancer clinical trials: The integral role of artificial intelligence in electronic health records 🤖
  • Effective prediction of mortality by heart disease among women in Jordan using the chi-squared automatic interaction detection model 🩺
  • Effectiveness of blended learning basic life support module on knowledge and skills: A systematic review of randomized controlled trials 💡
  • Assessing digital health literacy level among nurses in Jordanian hospitals 🏥

Conclusion:

Dr. Salam Bani Hani is highly deserving of the Research for Best Researcher Award. Her consistent contributions to advancing nursing practice, her innovative use of technology in healthcare, and her rigorous academic achievements reflect her commitment to improving patient care and nursing education. With her comprehensive skill set and dedication, she continues to make significant strides in both clinical and academic research, positioning her as a leader in her field.