Saima Zainab | Mathematics | Best Researcher Award

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Dr. Saima Zainab | Mathematics | Best Researcher Award

Lecturer,  The Women University Multan,  Pakistan 

Dr. Saima Zainab is a distinguished candidate for the Research for Best Paper Award, holding a Ph.D. in Mathematics from Bahauddin Zakariya University. Her thesis, titled “Numerical Study of some Pre-combustion Phenomena in Diesel Engine,” highlights her expertise in computational fluid dynamics and numerical analysis. Dr. Zainab has made significant contributions to the field through her publications, including research on artificial intelligence-based classifiers for breast cancer diagnosis and the optimization of bio-convective flow in nanofluids. Her work illustrates the application of advanced mathematical modeling in solving complex real-world problems. As a lecturer at The Women University Multan, she teaches various courses, including Numerical Analysis and Mathematical Modeling, while also serving as a program coordinator for BS Mathematics. Dr. Zainab’s leadership in organizing academic events and workshops demonstrates her dedication to advancing mathematical research and education. Her comprehensive background positions her as a strong candidate for this prestigious award.

Profile

Education

Dr. Saima Zainab earned her Ph.D. in Mathematics from Bahauddin Zakariya University in Multan, Pakistan, where she conducted her thesis on “Numerical Study of some Pre-combustion Phenomena in Diesel Engine,” showcasing her expertise in computational fluid dynamics and numerical analysis. She also holds an M.Phil. in Mathematics from the same institution, with a thesis titled “Numerical Simulation of Turbulent Flow in a Square Duct using k-Model.” Her educational journey has provided her with a solid foundation in advanced mathematical concepts, equipping her with the skills necessary to tackle complex problems in her research. Dr. Zainab has also furthered her knowledge through various certifications, including courses in machine learning and data analytics, enhancing her proficiency in applying mathematical modeling to real-world applications. This comprehensive educational background underlines her commitment to academic excellence and her significant contributions to the field of mathematics.

Professional Experience

Dr. Saima Zainab has been a Lecturer in the Department of Mathematics at The Women University, Multan, Pakistan, since March 2017. In her role, she teaches a variety of courses, including Computer Programming, Numerical Computing, and Mathematical Modeling, equipping students with essential skills in mathematics and its applications. Dr. Zainab also serves as the Program Coordinator for the BS Mathematics program, overseeing curriculum development and student engagement. She plays a pivotal role in the Office of Research Innovation and Commercialization (ORIC), promoting research initiatives and collaboration within the academic community. Additionally, her responsibilities include managing the departmental timetable and supervising computer labs, ensuring a conducive learning environment for her students. As a member of the Departmental Semester Implementation Committee, Dr. Zainab contributes to the strategic planning and execution of academic programs, demonstrating her commitment to enhancing the educational experience in mathematics. Her dedication and multifaceted contributions make her an invaluable asset to her institution.

Research Interests

Dr. Saima Zainab’s research interests encompass a dynamic range of topics within the field of Mathematics, primarily focusing on Computational Fluid Dynamics (CFD), Data Science, and Artificial Intelligence (AI). Her work in CFD involves exploring complex fluid flow phenomena, particularly in relation to pre-combustion processes in diesel engines, where she employs numerical analysis and mathematical modeling to enhance understanding and efficiency. In the realm of Data Science, Dr. Zainab is dedicated to applying advanced computational techniques to real-world challenges, such as developing AI-based classifiers for medical diagnostics, notably in breast cancer detection. Additionally, her interest in AI extends to predictive modeling in flow dynamics, where she utilizes innovative methodologies like nonlinear autoregressive artificial neural networks. Dr. Zainab’s multifaceted research not only contributes to theoretical advancements in mathematics but also has significant practical implications across various scientific and engineering disciplines. Her passion for integrating mathematics with technology continues to drive her research endeavors.

Research Skills

Dr. Saima Zainab possesses a diverse skill set that is integral to her research in mathematics and its applications. Her expertise in computational fluid dynamics enables her to model and analyze complex fluid behavior, essential for her investigations into pre-combustion phenomena in diesel engines. Proficient in numerical analysis, she utilizes advanced mathematical techniques to solve problems related to turbulent flows and heat transfer, demonstrating her ability to apply theoretical concepts to practical scenarios. Dr. Zainab is well-versed in mathematical modeling, allowing her to construct and analyze models that represent real-world systems accurately. Furthermore, her proficiency in programming languages and tools such as MATLAB and ANSYS Workbench enhances her capability to perform simulations and data analysis. In addition, her recent training in machine learning and data analytics equips her with the necessary tools to leverage artificial intelligence in her research, making her a versatile researcher capable of addressing multifaceted challenges in the field.

Awards and Honors

Dr. Saima Zainab has received numerous awards and honors throughout her academic career, reflecting her outstanding contributions to the field of mathematics. She has been recognized for her exceptional teaching abilities, leading to accolades from both students and faculty. In 2019, Dr. Zainab was awarded the “Best Faculty Award” at The Women University Multan for her innovative approach to teaching and her commitment to student success. Her research on computational fluid dynamics and artificial intelligence has garnered attention, leading to invitations to present her work at various national and international conferences, including the prestigious UMT International Conference on Pure and Applied Mathematics. Additionally, Dr. Zainab played a crucial role in organizing the 1st International Conference on Mathematics for a Sustainable Future, showcasing her leadership in the academic community. These accolades, alongside her publications in reputable journals, underscore her dedication to advancing mathematical research and education.

Conclusion

In conclusion, Dr. Saima Zainab exemplifies the qualities of an outstanding candidate for the Research for Best Paper Award. Her extensive academic background, highlighted by a Ph.D. in Mathematics and a strong focus on computational fluid dynamics and numerical analysis, underscores her expertise in complex mathematical modeling. Dr. Zainab’s impressive portfolio of published research demonstrates her ability to address significant challenges in fields such as artificial intelligence and fluid dynamics, showcasing innovative methodologies and practical applications. Furthermore, her active involvement in organizing academic events and workshops reflects her dedication to fostering a collaborative research environment and mentoring future mathematicians. Dr. Zainab’s commitment to advancing knowledge in her field, coupled with her leadership roles within her institution, positions her as a key contributor to the academic community. Given her achievements and contributions, Dr. Zainab is not only a deserving candidate but also an inspiration for aspiring researchers in mathematics.

Publication Top Notes

  • Title: A comparative performance assessment of artificial intelligence-based classifiers and optimized feature reduction technique for breast cancer diagnosis
    Authors: Batool, S., Zainab, S.
    Year: 2024
    Citations: 0
    Journal: Computers in Biology and Medicine
    Volume: 183
    Article Number: 109215
  • Title: An investigation of heat transfer and optimization of entropy in bio-convective flow of Eyring-Powell nanomaterial with gyrotactic microorganisms
    Authors: Batool, K., Haq, F., Zainab, S., Alshammari, A.S., M. El-Bahy, Z.
    Year: 2024
    Citations: 0
    Journal: Case Studies in Thermal Engineering
    Volume: 61
    Article Number: 104903
  • Title: Predictive modelling of flow dynamics in micropolar hybrid nanofluids subjected to magnetic dipole influence using nonlinear autoregressive artificial neural networks with exogenous input
    Authors: Zainab, S., Shakir, S., Batool, K., Waqas, H., Muhammad, T.
    Year: 2024
    Citations: 1
    Journal: Numerical Heat Transfer; Part A: Applications
  • Title: Investigation of nozzle geometry and wall roughness effects on diesel injector flow
    Authors: Zainab, S., Syed, K.S.
    Year: 2023
    Citations: 0
    Journal: AIP Advances
    Volume: 13(11)
    Article Number: 115129

 

Rizwan Gul | Mathematics | Best Researcher Award

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Dr. Rizwan Gul | Mathematics | Best Researcher Award

Research Scholar at Quaid-i-Azam University, Islamabad, Pakistan.

Rizwan Gul is a Ph.D. candidate in Pure Mathematics at Quaid-i-Azam University, Islamabad, Pakistan. He has an M.Phil. and a BS in Mathematics from the same institution and Kohat University of Science & Technology, respectively. His research interests include fuzzy algebraic structures, decision-making theory, soft and rough sets, and their applications. Rizwan has published extensively in ISI-listed journals with high impact factors, focusing on advanced mathematical models such as (α, β)-multi-granulation bipolar fuzzified rough sets and their applications in decision-making. He has also contributed to the field of algebraic cryptography. His work has been recognized with several awards, including a merit scholarship and a distinction award. Proficient in multiple programming and mathematical tools, Rizwan is actively involved in reviewing for international journals and has presented his research at various conferences. His contributions to mathematics demonstrate a strong foundation and innovative approach in his field.

Profile

Education🎓

Rizwan Gul has a strong academic background in Mathematics, culminating in a Ph.D. in Pure Mathematics from Quaid-i-Azam University, Islamabad, which he is expected to complete between 2020 and 2024. His doctoral research focuses on advanced topics such as (α, β)-Multi-Granulation Bipolar Fuzzified Rough Sets and their applications in decision-making. Prior to his Ph.D., Rizwan earned an M.Phil. in Pure Mathematics from the same institution between 2018 and 2020, where he conducted significant research on Modified Rough Bipolar Soft Sets. His academic journey began with a Bachelor of Science in Mathematics from Kohat University of Science & Technology, Kohat, completed between 2013 and 2017. During his undergraduate studies, he developed a strong foundation in mathematical theories, culminating in his thesis on Quivers and Path Algebras of Finite Connected Acyclic Quivers. His consistent academic excellence is evident through the distinctions and merit scholarships he received throughout his studies.

Professional Experience 🏢

Rizwan Gul is currently associated with the Department of Mathematics at Quaid-i-Azam University, Islamabad, where he is pursuing his Ph.D. in Pure Mathematics. His academic journey at Quaid-i-Azam University also includes completing an M.Phil. in Pure Mathematics, during which he contributed significantly to research in fuzzy algebraic structures, decision-making theory, and soft sets. Rizwan has an impressive portfolio of research publications, many of which are listed in high-impact ISI journals. His expertise extends to refereeing and reviewing for reputable journals like the Journal of Intelligent & Fuzzy Systems and Computational and Applied Mathematics. Throughout his academic career, he has delivered seminars and participated in workshops and conferences that further enriched his knowledge and research skills. Rizwan’s professional experience is marked by a strong foundation in mathematical theory and its applications, particularly in the areas of fuzzy sets and their hybrid structures.

Research Interests 🔬

Rizwan Gul’s research interests lie in the field of pure mathematics, with a particular focus on fuzzy algebraic structures, decision-making theory, and their applications. His work explores fuzzy sets and their generalizations, such as rough sets, soft sets, and their hybrid algebraic structures. Rizwan is deeply engaged in the study of aggregation operators and algebraic cryptography, contributing to the development of advanced mathematical models that address complex decision-making problems. His research includes the application of these mathematical frameworks to multi-criteria group decision-making, providing innovative solutions to challenges in various fields. Through his work, Rizwan aims to push the boundaries of mathematical theory while offering practical tools for real-world problems, particularly in the realm of decision-making under uncertainty. His contributions are published in high-impact journals, reflecting the significance and relevance of his research in the mathematical community.

Award and Honors

Rizwan Gul has demonstrated exceptional academic and research prowess, earning several accolades throughout his career. Notably, he received a Merit Scholarship during his BS studies at Kohat University of Science & Technology (KUST), Pakistan, in recognition of his outstanding performance in the final four semesters. His academic excellence also earned him a Silver Medal distinction from KUST, further solidifying his status as a top-performing student. In 2016, he was awarded a merit-based laptop under the Prime Minister’s Laptop Scheme, highlighting his academic achievements at the national level. These honors underscore his dedication to his studies and his contributions to the field of mathematics, particularly in areas such as fuzzy algebraic structures and decision-making theories. Rizwan Gul’s consistent recognition for academic excellence is a testament to his hard work and his potential for making significant contributions to mathematical research.

Research Skills

Rizwan Gul possesses a robust set of research skills, particularly in the field of Pure Mathematics, with a focus on fuzzy algebraic structures, decision-making theory, and their hybrid applications. His expertise spans various advanced mathematical concepts, including rough sets, soft sets, and their generalizations. He has demonstrated proficiency in mathematical modeling, especially in the development and application of bipolar fuzzified rough sets in decision-making. Rizwan is adept at using computational tools such as AMS-LaTeX, Maple, Matlab, and Mathematica, which enhances his ability to solve complex mathematical problems and present his findings effectively. His research contributions are well-documented in numerous ISI-listed journals with significant impact factors, reflecting his ability to conduct high-quality research. Moreover, his experience in reviewing and refereeing for reputable journals further underscores his analytical skills and deep understanding of contemporary mathematical research trends. These skills collectively position him as a capable and innovative researcher in his field.

Conclusion

Rizwan Gul is a strong candidate for the Research for Best Researcher Award, with a robust academic background, significant research contributions, and a strong publication record in high-impact journals. His research is highly specialized and has potential applications in decision-making and cryptography, which are important fields in both theoretical and applied mathematics. To further enhance his profile, Rizwan should consider increasing his international presence, expanding the interdisciplinary applications of his research, and participating in teaching or mentoring roles. Overall, his current achievements make him a competitive nominee for this award.

Publications Top Notes 📚
  • Modified Rough Bipolar Soft Sets
    • Authors: M Shabir, R Gul
    • Journal: Journal of Intelligent & Fuzzy Systems
    • Year: 2020
    • Citations: 21
    • Volume: 39 (3), Pages 4259-4283
  • Roughness of a Set by -Indiscernibility of Bipolar Fuzzy Relation
    • Authors: R Gul, M Shabir
    • Journal: Computational and Applied Mathematics
    • Year: 2020
    • Citations: 20
    • Volume: 39 (3), Page 160
  • Medical Decision-Making Techniques Based on Bipolar Soft Information
    • Authors: N Malik, M Shabir, TM Al-shami, R Gul, A Mhemdi
    • Journal: AIMS Math
    • Year: 2023
    • Citations: 8
    • Volume: 8 (8), Pages 18185-18205
  • A Novel Approach Toward Roughness of Bipolar Soft Sets and Their Applications in MCGDM
    • Authors: R Gul, M Shabir, M Naz, M Aslam
    • Journal: IEEE Access
    • Year: 2021
    • Citations: 8
    • Volume: 9, Pages 135102-135120
  • Rough Bipolar Fuzzy Ideals in Semigroups
    • Authors: N Malik, M Shabir, TM Al-shami, R Gul, M Arar, M Hosny
    • Journal: Complex & Intelligent Systems
    • Year: 2023
    • Citations: 7
    • Volume: 9 (6), Pages 7197-7212
  • Multigranulation Modified Rough Bipolar Soft Sets and Their Applications in Decision-Making
    • Authors: R Gul, M Shabir, M Aslam, S Naz
    • Journal: IEEE Access
    • Year: 2022
    • Citations: 7
    • Volume: 10, Pages 46936-46962
  • A Comprehensive Study on -Bipolar Fuzzified Rough Set Model Based on Bipolar Fuzzy Preference Relation and Corresponding Decision-Making Applications
    • Authors: R Gul, M Shabir, M Naeem
    • Journal: Computational and Applied Mathematics
    • Year: 2023
    • Citations: 6
    • Volume: 42 (7), Page 310
  • A Study on Soft Multi-Granulation Rough Sets and Their Applications
    • Authors: S Ayub, W Mahmood, M Shabir, ANA Koam, R Gul
    • Journal: IEEE Access
    • Year: 2022
    • Citations: 5
    • Volume: 10, Pages 115541-115554
  • Another Approach to Linear Diophantine Fuzzy Rough Sets on Two Universes and Its Application Towards Decision-Making Problems
    • Authors: S Ayub, M Shabir, R Gul
    • Journal: Physica Scripta
    • Year: 2023
    • Citations: 4
    • Volume: 98 (10), Article 105240
  • A Novel Decision-Making Technique Based on T-Rough Bipolar Fuzzy Sets
    • Authors: N Malik, M Shabir, TM Al-shami, R Gul, M Arar
    • Journal: Journal of Mathematical and Computational Science
    • Year: 2024
    • Citations: 3
    • Volume: 33, Pages 275-289