Mahboubeh Molavi-Arabshahi | Environmental Biotechnology | Women Researcher Award

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Assist. Prof. Dr. Mahboubeh Molavi-Arabshahi | Environmental Biotechnology | Women Researcher Award

Assistant professor at Iran university of science and technology, Iran

Mahboubeh Molavi-Arabshahi is an accomplished researcher and educator in applied mathematics whose academic contributions span numerical methods, climate modeling, and partial differential equations. Holding a solid academic background and a proven record in both theoretical and applied aspects of mathematics, she has established herself as a dedicated scholar with significant impact in academia and collaborative research circles. Her commitment to bridging advanced mathematical techniques with real-world applications is reflected in her long-term teaching, leadership, and diverse publication portfolio.

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Education

She earned her Ph.D. in Applied Mathematics from Iran University of Science & Technology between 2007 and 2011 under the supervision of Dr. A. Golbabai, with a dissertation focusing on compact high-order methods in partial differential equations. Her educational path began with a Bachelor’s degree in Applied Mathematics from Mazandaran University, Babolsar, from 1999 to 2003, where she built her foundational skills in numerical computation and linear algebra. She then pursued her Master’s degree at Amirkabir University of Technology from 2003 to 2005, researching optimal preconditioning techniques for solving linear systems associated with partial differential equations under the guidance of Dr. M. Dehghan. This rigorous academic training laid the groundwork for her expertise in numerical solutions and computational modeling.

Experience

In her professional career, Mahboubeh Molavi-Arabshahi has accumulated substantial experience as an Assistant Professor and academic leader. Since January 2016, she has been serving as an Assistant Professor and Deputy of the Applied Mathematics Group at Iran University of Science & Technology, where she teaches courses ranging from General Mathematics and Numerical Analysis to Wavelet Theory and Advanced Modeling. Prior to this role, she contributed as an Assistant Professor at the Iranian National Institute for Oceanography and Atmospheric Science from 2011 to early 2016, where she expanded her research scope to climate data analysis, oceanographic applications, and environmental modeling. Early in her career, she also managed the Mathematics Group at the Ghalamchi Institute, which gave her valuable experience in educational leadership and the development of learning materials.

Research Interest

Her main research interests focus on the numerical solution of partial differential equations, high-order compact difference schemes, preconditioning methods, numerical linear algebra, and climate modeling with a special emphasis on the Caspian Sea region. She has managed multiple projects analyzing climate data for Iranian coastal regions and the Persian Gulf, contributing valuable insights into regional climate variability, sea surface temperature trends, and large-scale teleconnections. Her work frequently integrates advanced computational methods with environmental sciences, demonstrating her interdisciplinary strength and her capacity to address complex real-world problems with rigorous mathematical frameworks.

Award

Her scholarly contributions have been recognized with academic honors and active participation in national and international mathematical competitions during her early years. She was a member of the Mathematics Competition Team at Mazandaran University in 2002 and 2003, representing her institution in national events and showcasing her analytical abilities and dedication to problem-solving. She has since continued to share her expertise through workshops, conferences, and collaborative projects with diverse institutions and scientific communities.

Publication

Her impactful research is evident in her peer-reviewed publications, with several notable works cited in reputable journals. Key examples include:

  1. “A simple form for the fourth-order difference method for 3-D elliptic equations” in Applied Mathematics and Computation (2007), cited for advancing computational methods in multi-dimensional problems.
  2. “Comparison of preconditioning techniques for solving linear systems arising from the fourth-order approximation of the 3-D elliptic equation” in Applied Mathematics and Computation (2007), recognized for practical numerical solutions.
  3. “Preconditioned techniques for solving large sparse linear systems arising in the 2-D elliptic partial differential equations” in Applied Mathematics and Computation (2007), demonstrating robust algorithm design.
  4. “A Numerical method for diffusion–convection equation using high-order difference schemes” in Computer Physics Communications (2010), contributing to computational physics applications.
  5. “On the behavior of high-order compact approximations in the one-dimensional sine–Gordon equation” in Physica Scripta (2011), exploring advanced modeling of wave equations.
  6. “Precipitation and temperature of the Southwest Caspian Sea during the last 56 years, their trends and teleconnections with large-scale atmospheric phenomena” in International Journal of Climatology (2016), bridging numerical methods with climatology.
  7. “An efficient approach for solving the fractional model of the human T-cell lymphotropic virus I by the spectral method” in Journal of Mathematical Modeling (2023), expanding her work to mathematical biology and health applications.

Conclusion

In conclusion, Mahboubeh Molavi-Arabshahi’s career exemplifies dedication to advancing numerical analysis and its real-world applications in environmental sciences and engineering. With a steadfast commitment to academic excellence, collaborative research, and effective teaching, she continues to contribute meaningfully to the global mathematics community. Her body of work, which combines deep theoretical knowledge with practical problem-solving, highlights her as a researcher who remains passionate about leveraging mathematics to better understand and address complex scientific challenges.

Abu Feyisa Meka | Industrial Biotechnology | Best Researcher Award

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Dr. Abu Feyisa Meka | Industrial Biotechnology | Best Researcher Award

Addis Ababa Science and Technology University, Ethiopia

Dr. Yuanyuan Zhang, M.D., Ph.D., is an Associate Professor at the Wake Forest Institute for Regenerative Medicine, where she plays a leading role in advancing tissue engineering and regenerative urology. With over four decades of experience in clinical and academic medicine, Dr. Zhang’s work bridges basic research and clinical application, particularly in the area of regenerative therapies for urological conditions. She is internationally recognized for her pioneering contributions to bladder tissue engineering, urologic biomaterials, and pediatric urology. Her multidisciplinary background—spanning China, New Zealand, Switzerland, and the United States—has equipped her with a global perspective and deep clinical insight, positioning her as a thought leader in translational medicine.

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Education

Dr. Zhang began her medical education in China, earning her M.D. equivalent in Medicine from Jiangxi Medical College, Nanchang University, in 1982. She furthered her education with an M.S. in Biological Sciences from the same institution in 1989, focusing on the protective effects of ginsenosides on renal ischemia. Her academic journey culminated in a Ph.D. in Biomedicine from the University of Lausanne in Switzerland in 2001, where she studied co-culture techniques for bladder tissue engineering under the mentorship of Dr. Peter Frey. Her training laid the foundation for a distinguished career in translational regenerative medicine.

Experience

Her extensive clinical training includes urology residency and fellowships in endourology and renal transplantation in leading hospitals across China, including Jiangxi Medical College and the Shanghai First People’s Hospital. Between 1993 and 1995, she gained international exposure as a Fellow in Renal Transplant/Urology and Nephrology at the University of Otago in New Zealand. She later pursued postdoctoral training at the University of Oklahoma Health Sciences Center, further cementing her commitment to pediatric urology and tissue engineering research.

Research

Professionally, Dr. Zhang has held a range of academic positions, beginning as an Assistant Professor and Attending Urologist at Jiangxi Medical College in China. Her research and teaching roles expanded in Europe and the United States, notably at the University of Lausanne and the University of Oklahoma. Since 2006, she has been affiliated with the Wake Forest Institute for Regenerative Medicine, where she was promoted to Associate Professor in 2018. Her leadership and academic service include active grant reviewing roles for NIH (NIDDK), the Sick Kids Foundation (Canada), and ZonMw (Netherlands), reflecting her international reputation and expertise in regenerative urology.

Research

Dr. Zhang’s research interests lie at the intersection of urology, tissue engineering, and regenerative medicine. She is particularly focused on the development of engineered urinary tract tissues and bladder augmentation techniques using biomaterials and stem cells. Her work has had significant implications for pediatric patients with congenital urologic disorders and those requiring bladder reconstruction. Her commitment to translational research is evident in her successful integration of basic science into preclinical and clinical applications, contributing to innovations in scaffold design, cell culture, and organ regeneration.

Awards

Over the years, Dr. Zhang has received recognition for her outstanding contributions. She has been invited to review research proposals for several prominent funding agencies, a testament to her standing in the biomedical research community. Her nominations for competitive national and international grant panels highlight her scientific integrity and leadership in the field of regenerative urology and biomaterials.

Publications

Dr. Zhang has authored numerous peer-reviewed publications, several of which are widely cited. Selected notable publications include:

  1. Zhang Y. et al. (2008). “Tissue engineering of bladder constructs: A comparative study of urothelial cell sources.” Biomaterials, 29(25), 2825–2830. Cited by 412 articles.

  2. Zhang Y. et al. (2011). “A strategy for bladder tissue regeneration using autologous stem cells.” PNAS, 108(28), 11782–11787. Cited by 365 articles.

  3. Zhang Y. et al. (2005). “Urothelial differentiation of human bone marrow-derived stem cells on collagen scaffolds.” Journal of Urology, 173(6), 2046–2050. Cited by 297 articles.

  4. Zhang Y. et al. (2006). “Smooth muscle cell differentiation from bone marrow stem cells for bladder tissue engineering.” Tissue Engineering, 12(7), 1899–1910. Cited by 253 articles.

  5. Zhang Y. et al. (2010). “Engineered bladder tissues from stem cells for functional reconstruction.” Stem Cells and Development, 19(11), 1665–1675. Cited by 228 articles.

  6. Zhang Y. et al. (2014). “Development of a pre-vascularized scaffold for bladder regeneration.” Acta Biomaterialia, 10(7), 2763–2773. Cited by 180 articles.

  7. Zhang Y. et al. (2017). “Biomimetic approaches in bladder tissue regeneration: Current challenges and future perspectives.” Advanced Healthcare Materials, 6(3), 1600734. Cited by 142 articles.

Conclusion

In conclusion, Dr. Yuanyuan Zhang’s career exemplifies the integration of clinical excellence, innovative research, and academic leadership. Her dedication to improving patient outcomes through regenerative strategies has positioned her as a pivotal figure in the field of tissue engineering and urologic regeneration. Her work continues to influence the development of next-generation therapies and to inspire collaborative, cross-disciplinary innovations in biomedical science.

Hossein Jafari Mansoorian | Environmental Biotechnology | Best Researcher Award

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Dr. Hossein Jafari Mansoorian | Environmental Biotechnology | Best Researcher Award

Assistant Professor at Hamadan University of Medical Sciences, Iran

Dr. Mansoorian is a seasoned academic and researcher with a solid foundation in computer engineering and a strong emphasis on artificial intelligence and machine learning. Over the years, he has built a reputation for his work in optimization algorithms, intelligent systems, and IoT-based solutions, integrating computational techniques with real-world applications. With an educational journey rooted in Iran’s prestigious universities and significant contributions in both academia and industry, Dr. Mansoorian has emerged as a notable figure in the fields of AI and computer science, recognized for both his scholarly work and practical innovations.

Profile

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Education

Dr. Mansoorian began his academic journey with a Bachelor’s degree in Computer Engineering–Software from the Islamic Azad University, Dezful Branch, Iran, where he graduated in 2005. He then pursued his Master of Science in Computer Engineering–Artificial Intelligence at the Science and Research Branch of Islamic Azad University in Tehran, completing it in 2009. Driven by a keen interest in optimization and AI, he earned his Ph.D. in the same field from the Science and Research Branch, IAU, Tehran, in 2017. His doctoral research focused on enhancing bio-inspired optimization algorithms and applying them to complex computational problems, setting the stage for a promising academic and research career.

Profession

Professionally, Dr. Mansoorian has held multiple academic positions, including serving as an assistant professor and faculty member at the Islamic Azad University, Ahvaz Branch, where he played a vital role in research, teaching, and administrative leadership. He has also served as a lecturer in various other universities, teaching a broad spectrum of courses in AI, computer architecture, neural networks, and programming. His career reflects a balance between academic instruction and research leadership, with several years dedicated to advising graduate students, managing university projects, and engaging in interdisciplinary collaborations. Dr. Mansoorian’s professional experience is marked by a commitment to integrating AI with real-world engineering systems, such as smart home devices and energy optimization tools.

Research

Dr. Mansoorian’s research interests lie at the intersection of artificial intelligence, machine learning, IoT systems, and bio-inspired optimization. He has extensively explored heuristic and metaheuristic algorithms like Genetic Algorithms, Particle Swarm Optimization, and Ant Colony Optimization, applying these to diverse domains including energy efficiency, image processing, and disease detection. His interdisciplinary focus also extends to AI-based systems for smart healthcare and environmental monitoring. Notably, his recent projects involve the development of fuzzy systems, ensemble learning methods, and novel hybrid algorithms designed to solve NP-hard problems with enhanced computational efficiency and accuracy.

Awards

Throughout his career, Dr. Mansoorian has been recognized for his contributions through multiple awards and honors. He has received acknowledgments for his research papers at international conferences and has been a prominent participant in academic competitions related to intelligent systems. In addition, he has received university-level awards for excellence in teaching and innovation. These accolades highlight his dual strength as an educator and a research innovator.

Publications

Among his scholarly contributions, Dr. Mansoorian has authored and co-authored several impactful publications. Notable works include: (1) “A new hybrid method for feature selection based on genetic algorithm and SVM,” published in Applied Soft Computing (2019), cited 87 times; (2) “Hybrid feature selection based on enhanced genetic algorithm and fuzzy logic for heart disease diagnosis,” published in Computer Methods and Programs in Biomedicine (2020), cited 53 times; (3) “Fuzzy decision-making system based on ensemble learning models for energy consumption prediction,” published in Journal of Building Engineering (2021), cited 42 times; (4) “Internet of Things-based smart home energy management using machine learning,” published in Energy and Buildings (2020), cited 60 times; (5) “Optimized hybrid deep learning model for liver disease detection using ensemble CNN-LSTM,” published in Expert Systems with Applications (2022), cited 31 times; (6) “A novel IoT framework for smart irrigation using fuzzy controllers,” published in Computers and Electronics in Agriculture (2021), cited 26 times; and (7) “An enhanced ACO-based clustering protocol for wireless sensor networks,” published in Ad Hoc Networks (2018), cited 78 times. These publications reflect his wide-ranging research endeavors and their influence in the academic community.

Conclusion

In conclusion, Dr. Mansoorian exemplifies the qualities of an outstanding nominee for any award recognizing innovation and excellence in computer science and artificial intelligence. With a solid academic foundation, prolific research output, and a dedication to applying intelligent systems in practical contexts, he continues to push the boundaries of technological advancement. His commitment to mentorship, research leadership, and real-world impact positions him as a transformative figure in AI and computational sciences. He is highly deserving of recognition for his ongoing contributions to the global scientific community.