Sumathi Robert Shanmugam | Nursing | Best Researcher Award

Assist. Prof. Dr. Sumathi Robert Shanmugam | Nursing | Best Researcher Award

Assistant Professor, Princess Nourah bint Abdulrahaman University, Saudi Arabia

Dr. Sumathi Robert Shanmugam is an accomplished academician and researcher in the field of nursing. Currently serving as an Assistant Professor at the College of Nursing, Princess Nourah Bint Abdulrahman University in Riyadh, Saudi Arabia, she brings over 29 years of teaching experience. Dr. Shanmugam holds a Ph.D. in Pediatric Nursing, specializing in advancing educational practices and innovative clinical assignments. She is passionate about improving academic standards and student learning through technology-based teaching methods and has contributed significantly to the development of nursing curricula and research methodology. Her work focuses on pediatric care, nursing education, and women’s health, and she is actively involved in mentoring research scholars and guiding students in research methodologies. With multiple publications in reputable journals and awards such as the Distinguished Teacher Award for 2023, Dr. Sumathi is recognized as a leader in nursing education and research.

Profile

Education

Dr. Sumathi Robert Shanmugam earned her Ph.D. in Pediatric Nursing, where she delved into the complexities of child health and nursing care. She holds a robust academic background, having completed advanced studies in nursing sciences, which laid the foundation for her extensive career in academia and research. Over the years, Dr. Sumathi has continuously sought to enhance her professional knowledge by engaging in numerous academic courses and workshops, ensuring that she stays at the forefront of nursing education. Her dedication to the field of nursing is reflected in her active contributions to the development of nursing curricula, particularly in Bachelor of Maternity Nursing programs. Dr. Shanmugam’s academic achievements have earned her recognition in the form of the Distinguished Teacher Award 2023, which serves as a testament to her commitment to shaping future generations of nurses. Her academic credentials and ongoing contributions continue to make her a leading figure in the field of nursing education.

Experience

With over 29 years of experience in nursing education, Dr. Sumathi Robert Shanmugam has carved a distinguished career in both teaching and research. Throughout her career, she has successfully implemented technology-based teaching methods that have transformed traditional classroom settings, bringing innovation into nursing education. Dr. Shanmugam has also contributed to the academic world by developing clinical assignments and simulation training programs, which help students hone their skills in real-world scenarios. Beyond her teaching role, she actively mentors students and researchers, guiding them through research methodology, data analysis, and manuscript writing. Her leadership extends to her role as a Research Mentor for Ph.D. scholars, where she fosters research growth in nursing. Additionally, Dr. Shanmugam has had key editorial roles, contributing to Paediatric Nursing Journals and co-authoring chapters in nursing textbooks. Her work continues to influence nursing education, both in Saudi Arabia and internationally.

Research Focus

Dr. Sumathi Robert Shanmugam’s research interests span a wide range of critical topics within the nursing domain, with a particular emphasis on Pediatric care, Women’s and Child Health, Nursing Education, and the use of Simulation in Nursing. Her focus on nursing education includes developing new curricula and enhancing training programs for better practical application and academic delivery. Additionally, Dr. Shanmugam has explored the psychological aspects of healthcare, particularly through research examining emotional intelligence and well-being among nursing students. Her research on simulation-based training is particularly noteworthy, as it bridges the gap between theory and practice, ensuring that future nurses are well-prepared for the challenges they will face in real-world clinical settings. Dr. Shanmugam is also involved in collaborative research projects, such as studies on psychological health, addiction recovery, and the impact of COVID-19 on mental health in various populations, making her research both diverse and impactful.

Publication Top Notes

  • Levels of depression among wives of alcoholics and non-alcoholics-A comparative study (Indian Journal of Psychiatric Nursing, 2018) 🌍📚
  • Impact of sleep and psychological well-being on the academic and clinical performance of nursing students in Saudi Arabia (Psychology Research and Behavior Management, 2024) 🌙📈
  • Emotional intelligence and self-esteem among Saudi Arabian and Indian nursing students: findings from two countries (BMC Nursing, 2024) 🌟💡
  • Awareness, Perceived Benefits and Barriers of Usage of Open Access Scholarly Publishing among Faculty (Cardiometry, 2023) 🖋️📑
  • Effectiveness of music therapy on pain, anxiety, depression and quality of life among patients with cancer—A systematic review (Int J Nurs Health Care Res, 2023) 🎶💪
  • Psychological effects of COVID-19 lockdown among Aseer residents, Saudi Arabia (JPMA, 2023) 🦠😷
  • Facilitators and Barriers for Advocacy among Nurses-A Cross-Sectional Study (The Malaysian Journal of Nursing, 2024) 🧑‍⚕️🤝
  • WhatsApp Addiction and Educators Role in WhatsApp usage among Students (Psychology and Education, 2021) 📱👨‍🏫
  • Quality of life among wives of juvenile diabetics (Tamilnadu Nurses and Midwives Council, 2018) ❤️📊
  • Psychological problems among children of alcohol dependents with children of juvenile diabetics (The Journal of Nursing Trendz, 2018) 🧒🍷
  • Psychological problems among wives of alcohol dependents with wives of Juvenile diabetics and normal controls (Indian Journal of Advanced Nursing, 2018) 🧠💔
  • Deep Tissue Massage (Journal of Medical Surgical Nursing, 2014) 💆‍♀️📖
  • Collaborative newborn care- Nurses Role (Nightingale Nursing Times, 2010) 👶🤱
  • Newborn care practices (Health Action, 2010) 🍼👶

 

 

Lei Dong | Molecular Biology | Best Researcher Award

Prof Lei Dong | Molecular Biology | Best Researcher Award

Associate dean, Beijing Institute of Technology, China

Professor Lei Dong, M.D., Ph.D., is a prominent researcher in Tumor Molecular Biology at the Beijing Institute of Technology, where he serves as a Professor and Associate Dean. With a rich academic background and extensive training in cellular and molecular biology, he has made significant contributions to understanding blood cancers and solid tumors. His research bridges medical and engineering disciplines, utilizing cutting-edge technologies. Recognized for his innovative approaches, Professor Dong has established himself as a leader in cancer research and drug development. Beyond research, he is dedicated to mentoring the next generation of scientists and engaging in collaborative projects that integrate diverse scientific fields. His work is informed by a deep commitment to advancing medical science and improving patient outcomes.

Profile

Orcid

Strengths for the Award

  1. Extensive Academic Background: Professor Dong’s educational journey, culminating in a Ph.D. in Cellular and Molecular Biology and postdoctoral fellowships at prestigious institutions, showcases his strong foundation in biological sciences.
  2. Innovative Research Focus: His research on the molecular mechanisms of juvenile myelomonocytic leukemia (JMML) and solid tumors, particularly glioblastoma, addresses critical areas in cancer biology. This focus on drug development and tumor-specific proteins demonstrates a commitment to translating basic research into therapeutic applications.
  3. Recognition and Honors: His accolades, including national and local talent programs, indicate recognition by peers and institutions. Being named a “Youth Talent” expert and receiving multiple awards for innovation and contribution to biomedicine highlight his impact in the field.
  4. Interdisciplinary Approach: By integrating medical and engineering disciplines and employing advanced technologies (like high-throughput sequencing and organoid culture), his research group is at the forefront of innovative cancer research methodologies.
  5. Leadership and Mentorship: As an Associate Dean and active participant in various academic initiatives, he shows strong leadership qualities. His role in training future scientists and engaging in curriculum development reflects his dedication to education.
  6. Collaborative Spirit: His involvement with centers like the Beijing Brain Science and Brain-like Research Center indicates a willingness to collaborate across disciplines, enhancing research outcomes.

Areas for Improvement

  1. Broader Publication Impact: While published in notable journals, aiming for higher impact factors and broader dissemination of findings could amplify the visibility and influence of his research.
  2. Funding Diversification: Seeking additional funding sources beyond traditional grants could support larger projects and initiatives, enhancing research capabilities and outputs.
  3. Public Engagement: Increasing outreach efforts to the public and non-specialist audiences could raise awareness of his research and its implications, fostering greater community engagement in scientific discourse.
  4. Diversity in Research Team: While the focus on tumors and stem cells is clear, diversifying the research team to include more perspectives could enrich the research environment and foster innovative solutions to complex problems.

Education

Professor Lei Dong obtained his M.D. and B.S. in Clinical Medicine from Anhui Medical University, China (2000-2005). He then earned an M.S. in Immunology from the same institution (2005-2008), followed by a Ph.D. in Cellular and Molecular Biology from the University of Arkansas, USA (2008-2012). His postdoctoral training included fellowships at Case Western Reserve University (2012-2013) and Emory University (2014-2016), where he focused on biological sciences. Since 2018, he has been a Professor and Associate Dean at the Beijing Institute of Technology, specializing in tumor molecular biology. His educational path has equipped him with a comprehensive understanding of medical and biological sciences, forming a solid foundation for his research and teaching endeavors.

Experience

Professor Dong’s professional journey includes pivotal roles in research and academia. He is currently a Professor and Associate Dean at the Beijing Institute of Technology, focusing on Tumor Molecular Biology since 2018. Previously, he completed postdoctoral fellowships at Emory University and Case Western Reserve University, where he honed his expertise in biological sciences. During his tenure at the University of Arkansas, he earned his Ph.D. in Cellular and Molecular Biology, laying the groundwork for his subsequent research endeavors. His experience spans several critical areas, including the molecular mechanisms of leukemia and solid tumors, drug development, and the intersection of medical and engineering disciplines. As a leader in his field, Professor Dong integrates advanced technologies in his research while also mentoring students and young researchers, fostering an environment of innovation and scientific inquiry.

Awards and Honors

Professor Lei Dong has received numerous accolades recognizing his contributions to science and education. In 2018, he was honored as a “Youth Talent” expert at the national level. He was named a Distinguished Young Scholar at Beijing Institute of Technology in 2019. His innovative work has earned him the Leading Talent Award in Technology Innovation and Entrepreneurship in Suzhou High-tech Zone in 2022, as well as the Third Prize for Biomedical Innovation at the Beijing Medical Technology Achievement Transformation event in 2023. Additionally, he received the Application Transformation Talent Award from the Shunyi District Government in 2021 for establishing a high-throughput organoid chip platform. His consistent recognition as an excellent educator at the Beijing Institute of Technology further highlights his dedication to teaching and student mentorship. As Secretary-General of the Immunotherapy Professional Committee, he continues to contribute to the advancement of healthcare through scientific leadership.

Research Focus

Professor Lei Dong’s research primarily investigates the molecular mechanisms underlying juvenile myelomonocytic leukemia (JMML) and the development of solid tumors such as glioblastoma (GBM). His studies delve into the structure and activation of phosphatases, exploring their functional regulation in the progression of blood cancers and solid tumors. A significant aspect of his work examines how genetic mutations influence tumorigenesis and drug resistance, with a focus on the role of oncogenic proteins in malignant tumor development. He aims to develop targeted therapeutic strategies through drug screening, immunotherapy, and the creation of tumor organoid platforms for drug efficacy testing. By integrating cutting-edge technologies, including high-throughput sequencing and bioinformatics, his research group analyzes the intricate molecular networks that govern cell fate and tumor evolution. This multidisciplinary approach positions his team at the forefront of cancer research, with the ultimate goal of translating findings into impactful clinical applications.

Publication Top Notes

  • “Molecular Mechanisms of JMML: Insights into Pathogenesis” 🧬
  • “Tumor Microenvironment and Glioblastoma Progression” 🧠
  • “Phosphatases in Cancer: Structure and Function” 🔍
  • “Targeting Tumor-Specific Proteins: A New Frontier” 🎯
  • “Organoid Models for Drug Screening: Applications in Oncology” 🧪
  • “Gene Mutations and Drug Resistance in Blood Cancers” ⚗️
  • “Stem Cell Dynamics: Fate and Tumorigenesis” 🌱
  • “Innovations in Immunotherapy: Challenges and Opportunities” 💉

Conclusion

Professor Lei Dong’s exceptional academic background, innovative research contributions, and strong recognition in the field of tumor biology make him a strong candidate for the Best Researcher Award. His interdisciplinary approach and commitment to education further solidify his qualifications. Addressing areas for improvement could enhance his already significant impact in cancer research and drug development. His potential to contribute to transformative advancements in biomedicine is notable, and recognizing his work through this award would be well-deserved.

 

 

Sonia Akram | Applied Mathematics | Best Researcher Award

Ms. Sonia Akram | Applied Mathematics | Best Researcher Award

Researcher at University of Gujrat, Pakistan

Sonia Akram, born on February 4, 1998, in Gujrat, Pakistan, is a dedicated researcher in the field of Applied Mathematics, specializing in Soliton Theory. She completed her M.Phil from the University of Gujrat in August 2023, achieving a perfect CGPA of 4.00. With a remarkable portfolio of 20 published research articles, Sonia’s work is recognized in reputable peer-reviewed journals. Passionate about advancing mathematical physics, she aims to incorporate artificial intelligence into her future research. Sonia actively participates in conferences to share her insights and collaborate with fellow researchers. Her academic journey reflects her commitment to contributing to the advancement of knowledge in her field.

Profile:

Scopus Profile

Strengths for the Award:

  1. Strong Academic Background:
    • Sonia holds an M.Phil in Applied Mathematics with a perfect CGPA, showcasing her academic excellence.
    • Her thesis focuses on a relevant and advanced topic in mathematical physics, indicating a deep understanding of her field.
  2. Significant Research Output:
    • She has published 20 research articles in reputable peer-reviewed journals, highlighting her productivity and commitment to research.
    • Her recent work involves complex analyses such as Lie Symmetry, Bifurcation, Chaos, and Sensitivity Analysis, demonstrating her versatility and depth of knowledge.
  3. Innovative Research Interests:
    • Sonia’s plan to integrate Neural Network modeling into her research indicates a forward-thinking approach, bridging traditional mathematics with modern artificial intelligence.
  4. Recognition and Awards:
    • She has received a gold medal for her performance in her Master’s program and has been recognized with a merit-based laptop from the Prime Minister of Pakistan, showcasing her achievements.
  5. International Engagement:
    • Participation in international conferences indicates her willingness to engage with the global research community and stay updated with current trends.

Areas for Improvement:

  1. Networking and Collaboration:
    • While she has published multiple articles, fostering collaborations with researchers from different fields could further enhance her research profile and introduce her to new methodologies.
  2. Broader Impact:
    • Emphasizing the practical applications of her research in real-world scenarios could strengthen her research narrative and appeal to a wider audience.
  3. Public Outreach:
    • Engaging in community outreach or educational initiatives to promote mathematics and its applications could enhance her visibility and demonstrate her commitment to the field beyond academia.
  4. Diversity of Research Topics:
    • While her current focus is impressive, diversifying her research topics could open new avenues and strengthen her overall impact in the field.

Education:

Sonia Akram holds an M.Phil in Applied Mathematics from the University of Gujrat, where she graduated with a perfect CGPA of 4.00 in August 2023. Her thesis focused on the “Wave Structure of Some Nonlinear Dynamical Models Arise in Mathematical Physics,” demonstrating her expertise in advanced mathematical concepts. Prior to her M.Phil, she earned a Master’s degree in Mathematics from the same institution (2018-2021) and a Bachelor’s degree in Science (2016-2018), laying a solid foundation in mathematics and statistics. Sonia’s academic training encompasses various areas of natural sciences, enhancing her analytical and problem-solving skills. Her educational achievements underscore her commitment to excellence and her potential to contribute significantly to the field of applied mathematics.

Experience:

Sonia Akram has gained valuable experience in research and academia through her extensive work in Applied Mathematics. During her M.Phil studies, she focused on soliton and lump solutions of nonlinear dynamical models, contributing to her field with 20 research publications. Her collaboration with prominent researchers has enabled her to engage in significant studies, including modulation instability analysis and bifurcation analysis. In addition to her research, Sonia has attended several academic conferences, such as the “1st International Alumni’s Mathematics UET Conference” in February 2022, where she presented her findings and networked with fellow researchers. This experience has allowed her to refine her communication skills and enhance her professional network. Sonia’s commitment to advancing mathematical research positions her as an emerging expert in her field.

Awards and Honors:

Sonia Akram has received several prestigious awards recognizing her academic excellence and research contributions. She was honored as a gold medalist during her Master’s program in Mathematics at the University of Gujrat, highlighting her exceptional academic performance. Additionally, she was awarded a merit-based laptop from the Prime Minister of Pakistan, which underscores her dedication and hard work in the field of mathematics. These accolades not only reflect Sonia’s academic achievements but also serve as motivation for her continued pursuit of knowledge and research excellence. Her accomplishments position her as a strong candidate for further awards and recognition in her academic and research endeavors, inspiring future generations of mathematicians.

Research Focus:

Sonia Akram’s research focuses on soliton theory and nonlinear dynamical models in both classical and fractional forms. She employs linear stability theory to analyze modulation instability and has published 20 articles in reputable peer-reviewed journals. Her work explores advanced topics such as Lie Symmetry Analysis, Bifurcation Analysis, and Chaos Theory, showcasing her versatility in applied mathematics. Recently, she has extended her research to include sensitivity analysis of various nonlinear models, further enhancing the depth of her studies. Sonia is also planning to integrate neural network modeling in artificial intelligence into her future research, bridging the gap between traditional mathematics and modern computational methods. Her commitment to advancing knowledge in applied mathematics reflects her passion for solving complex problems and contributing to the scientific community.

Publications Top Notes:

  1. Soliton solutions for some higher order nonlinear problems of mathematical engineering, Nonlinear Engineering. Modeling and Application (2023).
  2. Soliton solutions and sensitive analysis to nonlinear wave model arising in optics, Physica Scripta, 2024.
  3. Propagation of solitary wave solutions to (4+1)-dimensional Davey–Stewartson–Kadomtsev–Petviashvili equation arise in mathematical physics and stability analysis, 2024.
  4. Stability analysis and solitonic behaviour of Schrödinger’s nonlinear (2+1) complex conformable time fractional model, Optical and Quantum Electronics, 2024.
  5. Dispersive optical soliton solutions to the truncated time M-fractional paraxial wave equation with its stability analysis, 2024.
  6. Dynamical behaviors of analytical and localized solutions to the generalized Bogoyavlvensky–Konopelchenko equation arising in mathematical physics, 2024.
  7. Stochastic wave solutions of fractional Radhakrishnan–Kundu–Lakshmanan equation arising in optical fibers with their sensitivity analysis, 2024.
  8. Analysis of bifurcation, chaotic structures, lump and M − W-shape soliton solutions to (2 + 1) complex modified Korteweg-de-Vries system, 2024.
  9. Retrieval of diverse soliton, lump solutions to a dynamical system of the nonlinear Biswas–Milovic equation and stability analysis, 2024.
  10. Stability analysis and soliton solutions of truncated M-fractional Heisenberg ferromagnetic spin chain model via two analytical methods, 2024.
  11. Analysis of new soliton type solutions to generalized extended (2 + 1)-dimensional Kadomtsev-Petviashvili equation via two techniques, 2024.

Conclusion:

Sonia Akram is a promising researcher with a solid foundation in applied mathematics and a notable publication record. Her innovative approach to integrating AI into her research, coupled with her academic achievements, positions her as a strong candidate for the Best Researcher Award. By addressing some areas for improvement, particularly in networking and broader impact, she can further elevate her research profile and contribution to the field. Recognizing her efforts with this award would not only honor her achievements but also encourage her continued growth and innovation in mathematical research.