Shakoor Ahmad | Computational Mathematics | Best Researcher Award

Dr. Shakoor Ahmad | Computational Mathematics | Best Researcher Award

Assistant Professor at TMUC H11 Islamabad, Pakistan

Dr. Shakoor Ahmad is a distinguished mathematician known for his expertise in mathematical modeling and applied mathematics. With a deep passion for research and education, he has significantly contributed to the field, particularly in modeling complex systems and decision-making processes. Dr. Ahmad’s career has spanned various prestigious institutions where he has demonstrated a strong commitment to both academic excellence and impactful research. His publications in high-impact journals, coupled with his extensive teaching experience, reflect his dedication to advancing mathematics and its real-world applications. He is a well-regarded figure in academia, actively pushing the boundaries of mathematical research.

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Education

Dr. Ahmad holds a Ph.D. in Mathematics from COMSATS University Islamabad, completed between 2018 and 2023. His doctoral research focused on the “Modeling and Simulation of Fractional Differential Equations with Applications in Epidemiology and Financial Mathematics,” where he developed innovative approaches for solving complex mathematical problems. Prior to his Ph.D., he earned an MS in Mathematics from COMSATS University with a CGPA of 3.76/4.00, demonstrating his academic excellence. His foundational education in mathematics began with a BS from the University of Sargodha, where he graduated with a strong understanding of mathematical principles. Additionally, Dr. Ahmad holds a Bachelor of Education, further highlighting his dedication to the teaching profession.

Experience

Dr. Ahmad has accumulated extensive teaching experience, starting as a lecturer at Nishat Degree College in Islamabad, where he taught FSc and BSc students. His teaching journey continued with roles as a visiting lecturer at the University of Sargodha, Federal Urdu University Islamabad, and ARID Agriculture University. In these roles, he taught a variety of courses, including basic mathematics, numerical analysis, and multivariable calculus. Dr. Ahmad’s experience extends to visiting assistant professor positions at renowned institutions such as RIPHA International University and the Uswa Institute of Higher Education. Currently, he serves as a visiting assistant professor at TMUC, Islamabad, teaching courses like discrete mathematics and mechanics. His teaching career is marked by versatility, covering topics across different levels of mathematics education.

Research Interest

Dr. Ahmad’s research interests lie at the intersection of mathematical modeling, fractional differential equations, and decision-making algorithms. His doctoral research tackled real-world applications in epidemiology and finance, where he developed mathematical models to simulate disease spread and analyze financial systems. Additionally, Dr. Ahmad is interested in multi-criteria decision-making and sustainable energy management, where his research explores innovative methods for optimizing systems under uncertainty. He actively applies mathematics to solve pressing societal issues, and his work has implications in fields ranging from public health to renewable energy. Dr. Ahmad’s research is characterized by a blend of theoretical depth and practical relevance, aiming to address contemporary challenges.

Awards

Dr. Ahmad has been the recipient of several scholarships and awards, recognizing his academic achievements and contributions. During his MS studies, he was awarded the PEEF Scholarship, a prestigious scholarship aimed at high-achieving students. He also received the NEST Scholarship during his Ph.D., further demonstrating his consistent academic excellence. Additionally, Dr. Ahmad was recognized by the Prime Minister’s Laptop Scheme, receiving a laptop for his outstanding performance in his MS program. These accolades highlight his dedication to academic growth and his potential to make significant contributions to the field of mathematics.

Publications

Ahmad, S., Javeed, S., Ahmad, H., Khushi, J., Elagan, S.K., & Khames, A. (2021). Analysis and Numerical Solution of Novel Fractional Model for Dengue. Results in Physics, vol. 28, 104669. Impact Factor: 4.476.

Ashraf, S., Ahmad, S., Naeem, M., Riaz, M., & Alam, M.A. (2022). Novel EDAS Methodology Based on Single-Valued Neutrosophic Aczel-Alsina Aggregation Information. Complexity, vol. 2022, 2394472. Impact Factor: 2.121.

Ahmad, S., Javeed, S., Raza, S., & Baleanu, D. (2022). A Novel Fractional Model for Projection of Households using Wealth Index Quintiles. PLOS ONE, 17(11), e0277472. Impact Factor: 3.752.

Ashraf, S., Chohan, M.S., Ahmad, S., Hameed, S., & Khan, F. (2023). Decision Aid Algorithm for Kidney Transplants Under Circular Spherical Fuzzy Sets. IEEE Access, 11, 122029-122044. Impact Factor: 3.9.

Ashraf, S., Iqbal, W., Ahmad, S., & Khan, F. (2023). Circular Spherical Fuzzy Sugeno Weber Aggregation Operators. IEEE Access, 11, 124920-124941. Impact Factor: 3.9.

Ashraf, S., Jana, C., Sohail, M., Choudhary, R., Ahmad, S., & Deveci, M. (2024). Multi-criteria Decision-making Model Based on Picture Hesitant Fuzzy Soft Set Approach. Information Sciences, 686, 121334. Impact Factor: 3.7.

Conclusion

Dr. Shakoor Ahmad’s dedication to mathematics is evident in his extensive teaching experience, impactful research contributions, and academic achievements. His research not only advances theoretical mathematics but also provides practical solutions to real-world challenges. Dr. Ahmad’s continuous pursuit of academic excellence, coupled with his recognition through awards and scholarships, demonstrates his potential to make a lasting impact in his field. He is a strong candidate for the “Best Researcher Award,” showcasing a commitment to advancing mathematical knowledge and solving pressing societal issues through innovative research.

Giuseppe Maria Coclite | Nonlinear PDEs | Best Paper Award

Prof. Giuseppe Maria Coclite | Nonlinear PDEs | Best Paper Award 

Professor at Polytechnic of Bari, Italy

Giuseppe Maria Coclite is an accomplished Italian mathematician specializing in the field of partial differential equations. He is currently based in Bari, where he is involved in various research activities that significantly contribute to the mathematical sciences. His educational background is marked by rigorous training in mathematics, which laid a strong foundation for his research endeavors. Over the years, Coclite has garnered a wealth of experience in both teaching and research, contributing to his reputation as a leading expert in his field.

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ORCID

Education

Prof. Giuseppe Maria Coclite embarked on his academic journey in mathematics, laying the groundwork for a prolific career in the field. He completed his undergraduate and graduate studies at prestigious institutions, where he delved deeply into the intricacies of mathematical theory and applications. His education culminated in an advanced degree that emphasized partial differential equations (PDEs), a specialized area of mathematics that describes various phenomena in engineering and physical sciences. This rigorous training not only honed his analytical skills but also equipped him with a solid foundation in mathematical modeling, a critical aspect of his future research endeavors.

Experience

With a career spanning several decades, Prof. Coclite has established himself as a leading figure in the realm of mathematical sciences. Based in Bari, Italy, he holds a faculty position at a prominent university, where he combines his passion for teaching with his research pursuits. His teaching philosophy emphasizes the importance of fostering critical thinking and problem-solving skills among students, equipping them to tackle complex mathematical challenges.

Prof. Coclite’s experience is not limited to classroom instruction; he is also actively involved in various research initiatives. Over the years, he has collaborated with both national and international researchers, contributing to a diverse range of projects that apply mathematical theories to real-world problems. His roles in these projects often involve not only analysis but also the development of innovative numerical methods and computational techniques, showcasing his versatility as a mathematician.

Research Interests

Prof. Coclite’s primary research interests revolve around partial differential equations, particularly nonlinear dynamics and mathematical modeling. His work is characterized by a focus on how PDEs can be used to describe and predict complex physical phenomena. For instance, he has explored applications in fluid dynamics, where the behavior of fluids can be modeled using PDEs, and in wave propagation, where mathematical models help to understand the transmission of waves in different media.

One notable area of his research is boundary controllability, which examines how to control systems governed by PDEs at their boundaries. This topic has significant implications in various fields, including engineering, physics, and environmental science. Prof. Coclite’s investigations into the dynamics of physical systems governed by PDEs have led to substantial advancements in understanding how these systems behave under various conditions.

His interdisciplinary approach often involves collaborating with experts in related fields, allowing him to apply mathematical concepts to solve problems in engineering, biology, and materials science. This collaborative spirit has resulted in innovative solutions and new avenues of research, further solidifying his reputation as a leading researcher in the mathematical community.

Awards

Throughout his distinguished career, Prof. Coclite has received numerous awards and recognitions that attest to his contributions to mathematics. These accolades reflect not only his academic excellence but also his dedication to advancing the field of mathematics. His recognition in the form of awards underscores his impact on both the academic community and his students, inspiring the next generation of mathematicians.

His contributions to the understanding and application of PDEs have been acknowledged by his peers, earning him a respected position within the academic community. Prof. Coclite’s commitment to excellence is evident in his pursuit of innovative research and his efforts to share knowledge with students and colleagues alike.

Publications

Prof. Coclite’s scholarly output is impressive, with over 170 publications in reputable mathematical journals. His works cover a wide array of topics, reflecting his diverse research interests and contributions to the field. Noteworthy publications include:

“Inverse Design and Boundary Controllability for the Chromatography System” – This paper explores the applications of PDEs in chromatography, a vital process in chemical analysis and separation techniques.

“Exponential Convergence to Steady-States for Trajectories of a Damped Dynamical System Modeling Adhesive Strings” – In this publication, he examines the dynamics of systems that exhibit damping, providing insights into the behavior of materials under stress.

“H2-solutions for an Ostrosky–Hunter Type Equation” – This research addresses specific types of PDEs, contributing to the theoretical understanding of their solutions.

“A Numerical Framework for Nonlinear Peridynamics on Two-Dimensional Manifolds Based on Implicit P-(EC)k Schemes” – This paper presents a novel numerical approach to tackle complex mathematical models in material science.

“On the Dynamics of Aeolian Sand Ripples” – This publication investigates the mathematical modeling of natural phenomena, showcasing the applicability of PDEs to environmental science.

These publications not only highlight Prof. Coclite’s expertise but also serve as a resource for researchers and students interested in mathematical modeling and PDEs.

Conclusion:

Prof. Giuseppe Maria Coclite is an exemplary candidate for the Best Paper Award, distinguished by his prolific research contributions and interdisciplinary collaborations in the field of partial differential equations. His impressive portfolio of over 170 publications reflects a deep engagement with complex mathematical problems and their applications. Addressing broader societal issues, enhancing communication strategies, and emphasizing practical applications could further strengthen his profile for recognition. Prof. Coclite’s dedication to advancing mathematical knowledge and his commitment to education ensure that his work will continue to inspire and inform the mathematical community for years to come.

Peter Seely | Spectral Graph Theory | Best Researcher Award

Peter Seely | Spectral Graph Theory | Best Researcher Award

Research Assistant at Brigham Young University, United states

Peter Seely is an accomplished computer scientist with a remarkable blend of academic excellence and practical experience. With a strong foundation in computer science and mathematics, Peter has demonstrated exceptional skills in both theoretical and applied aspects of computing. His work spans several programming languages and technologies, including Java, C++, Python, and AWS, showcasing his versatility and technical proficiency. Peter’s innovative research and practical projects have garnered attention for their significant impact, reflecting his commitment to advancing the field of computer science. His career trajectory includes impactful research contributions, meaningful internships, and notable personal projects, underscoring his dedication to both learning and application in technology.

Profile

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Education

Peter Seely earned his Bachelor of Computer Science degree from Brigham Young University (BYU) in Provo, UT, where he also completed a minor in Mathematics. During his academic tenure, he achieved the distinction of Co-Valedictorian with a perfect GPA of 4.00. His exceptional performance was further recognized by receiving a four-year National Merit Scholarship. Peter’s education at BYU provided him with a solid theoretical foundation and a comprehensive understanding of both computer science and mathematics, setting the stage for his subsequent research and professional achievements.

Experience

Peter’s professional experience includes significant roles in both research and industry settings. As a Research Assistant in the Department of Mathematics at BYU, he developed a novel quadratic-time algorithm for finding Local Equitable Partitions in graphs and optimized it to run in linear time on sparse graphs, demonstrating his ability to enhance computational efficiency. His internship as a Software Engineer at Chief Architect involved addressing user workflow bottlenecks through robust C++ solutions. Additionally, his role as an Android Developer and QA Intern at Aura Remote allowed him to implement new features and automate regression testing, showcasing his problem-solving skills and commitment to improving software development processes. Peter’s early career also included a position as a Teacher’s Assistant at DigiPen Institute of Technology, where he engaged youth in learning programming in a gamified manner, and a summer internship at Microsoft Corporation, where he contributed to optimizing bug patching processes.

Research Interest

Peter Seely’s research interests are primarily focused on algorithms, optimization, and software development. His notable research includes developing efficient algorithms for graph theory problems, particularly improving runtime performance. His work on optimizing a quadratic-time algorithm to linear time for sparse graphs reflects his deep interest in advancing computational efficiency and tackling complex theoretical problems. Peter is also interested in applying machine learning techniques to creative domains, as evidenced by his personal project involving the development of a neural network to generate Bach-inspired music, illustrating his interdisciplinary approach to research and innovation.

Awards

Peter’s academic and professional excellence has been recognized through several prestigious awards. Notably, he was awarded the title of Co-Valedictorian at BYU and received a four-year National Merit Scholarship, highlighting his exceptional academic achievements. His contributions to various projects and research have also been acknowledged, underscoring his dedication to advancing knowledge and solving complex problems in computer science.

Publication

  1. Complete Equitable Decompositions
    • Authors: J. Drapeau, J. Henderson, P. Seely, D. Smith, B. Webb
    • Journal: Linear Algebra and Its Applications
    • Year: 2024
    • Link to Publication
  2. Complete Equitable Decompositions
    • Authors: D. Smith, B. Webb, J. Drapeau, J. Henderson, P. Seely
    • Conference: 2024 Joint Mathematics Meetings (JMM 2024)
    • Year: 2024
    • Link to Conference Proceedings
  3. Equitable Partitions: A Hallmark of Real-World Networks

Conclusion

Peter Seely is highly qualified for the Research for Best Researcher Award. His strong academic background, significant research contributions, and practical experience position him as a promising candidate. To further bolster his application, he could focus on increasing his visibility in the research community through publications, showcasing the broader impact of his work, and emphasizing any leadership roles he has undertaken