Dr. M. Doaa Salah – Applied Mathematics – Best Researcher Award

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Dr. M. Doaa Salah - Applied Mathematics - Best Researcher Award

Sohag University - Egypt

Author Profile

SCOPUS

ORCID

Summary

Doaa Mohamed Salah Mohamed is an emerging scholar in the field of applied mathematics, holding both bachelor's and master's degrees from sohag university, egypt. her academic journey has been marked by excellence in mathematical sciences, with a focus on areas such as hydrodynamics, fluid dynamics, elasticity, and computational modeling — all essential to various interdisciplinary fields, including power electronics. she has developed strong skills in software like mathematica, matlab, maple, and latex, which are vital for advanced mathematical research and simulation.

In her professional endeavors, doaa has contributed to the international scientific community as a reviewer for the journal of mechanics of solids. her research output includes 7 published articles, cited 10 times, with a scopus h-index of 2. her work demonstrates practical applications in mechanics and the potential to influence areas like power electronics, where mathematical precision is critical for system design and optimization.

Early academic pursuits

Doaa Mohamed salah mohamed demonstrated a keen interest in applied mathematics from an early stage of her education. she earned her bachelor of science degree in mathematics from sohag university, egypt, in 2016, graduating with an impressive overall percentage of 84.42% and awarded "very good with honor." her undergraduate journey was marked by consistent academic excellence, Applied Mathematics especially in the fields of hydrodynamics, fluid dynamics, elasticity and plasticity, which laid the groundwork for her later specialization. her strong foundation in mathematical principles opened doors for her future research pursuits, even in interdisciplinary fields such as power electronics, where mathematical modeling plays a crucial role.

Professional endeavors

Building upon her undergraduate success, doaa pursued her master's degree (m.sc.) in science with a specialization in applied mathematics at sohag university, which she completed in 2024. throughout her postgraduate studies, she deepened her expertise in computational tools such as mathematica, mathcad, matlab, maple, and latex — essential software for mathematical simulation and modeling. Applied Mathematics these skills are also significant in emerging research areas, including power electronics, where simulation and modeling are integral for designing efficient systems. in addition to her academic pursuits, she served as an international reviewer for the journal of mechanics of solids, reflecting her growing reputation in scientific circles.

Contributions and research focus

Doaa's research contributions reflect her applied mathematics specialization, particularly in mechanics and fluid dynamics. her academic focus has been centered around problem-solving in applied sciences, bridging theoretical mathematics with real-world applications. this is especially evident in disciplines such as power electronics, where her mathematical modeling proficiency can address challenges in system optimization and energy conversion efficiency. her pre-master coursework in elasticity, special functions, Applied Mathematics and computational mathematics supports her capacity to contribute to such interdisciplinary scientific domains.

Impact and influence

With 7 published articles, 10 citations, and an h-index of 2 as recorded in scopus, Doaa's research output is steadily gaining recognition in the scientific community. her work has influenced peers in applied mathematics and mechanics, offering solutions that can be extended to practical fields such as Applied Mathematics structural analysis and even aspects of power electronics where fluid and thermal dynamics are of concern. as a reviewer for the journal of mechanics of solids, she plays a role in shaping scholarly discussions and ensuring the quality of scientific research.

Academic cites

Her articles have been cited 10 times, indicating the relevance and applicability of her research outputs. her growing citation record highlights her work's influence in applied mathematics and potentially its application in fields like power electronics, where precise mathematical modeling is increasingly valuable.

Legacy and future contributions

Doaa Mohamed Salah Mohamed's journey in applied mathematics is marked by a commitment to integrating theoretical knowledge with practical applications. she is well-positioned to contribute to interdisciplinary research projects that demand mathematical rigor, such as renewable energy systems and advanced power electronics design. with her strong background in computation, Applied Mathematics simulation, and problem-solving, she is expected to impact future innovations that rely on mathematical optimization and modeling. her academic path hints at future roles not only in research but also in mentoring the next generation of mathematicians and engineers.

Notable Publications

  1. Title: Influence of nonlocal on a rotating thermoelastic medium with diffusion and double porosity
    Authors: Doaa M. Salah; A. M. Abd-Alla; S. M. M. El-Kabeir
    Journal: Scientific Reports

  1. Title: Electromagnetic and heated pulse laser on wave propagation during electrons and holes excitation processes in a rotator semiconductor medium
    Authors: S. M. Abo-Dahab; Doaa M. Salah; Hanan S. Gafel; A. M. Abd-Alla; M. A. Abdelhafez
    Journal: Scientific Reports

  1. Title: Effect of Rotation in a Semiconductor Medium Under Photothermal Theory with Ramp Type Heating
    Authors: A. Abd-Alla; S. Abo-Dahab; Doaa Salah; M. Abdelhafez
    Journal: Sohag Journal of Sciences

  1. Title: Magnetic field and initial stress on a rotating photothermal semiconductor medium with ramp type heating and internal heat source
    Authors: Doaa M. Salah; A. M. Abd-Alla; S. M. Abo-Dahab; F. M. Alharbi; M. A. Abdelhafez
    Journal: Scientific Reports

  1. Title: Magneto-Thermoelastic Semiconductor Medium with Diffusion under the Hyperbolic Two-Temperature Photothermal Waves
    Authors: Doaa M. Salah; A. M. Abd-Alla; S. M. Abo-Dahab; Amnah M. Alharbi; M. A. Abdelhafez
    Journal: Mechanics of Solids

Conclusion

Doaa Mohamed Salah Mohamed’s growing body of work highlights her potential as a significant contributor to applied mathematics and related disciplines. her skills in computational modeling and mathematical analysis equip her to address complex problems in both academia and industry, including those found in power electronics. as she advances in her career, her research and expertise are expected to lead to meaningful innovations and broader impacts in scientific and technological development.

Mr. Abubakar Adamu – Computer Science and Artificial Intelligence – Best Paper Award

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Mr. Abubakar Adamu - Computer Science and Artificial Intelligence - Best Paper Award

Federal University of Technology Minna Nigeria and University of Malaya - Malaysia

Author Profile

ORCID

Summary

Adamu Abubakar is an emerging researcher and academic with a strong foundation in computer science, artificial intelligence, and telecommunications. his educational background, which includes a master's degree with distinction and an ongoing phd, reflects his dedication to academic excellence and technical mastery. professionally, he has blended academic teaching with significant industry experience at leading telecom firms, giving him a well-rounded perspective on both theoretical and practical aspects of technology.

His research interests focus on the integration of artificial intelligence into telecommunication systems, with a growing emphasis on the role of power electronics in optimizing network infrastructure and improving service delivery. his involvement in global research networks like vodan demonstrates his commitment to using technology for societal benefit.

Early academic pursuits

Adamu Abubakar began his academic journey with a bachelor’s degree in computer science from usman danfodio university sokoto, nigeria, where he laid a solid foundation in computing principles and information technology. his pursuit of excellence continued with a master of technology (m.tech) in computer science at the federal university of technology minna, where he graduated with distinction. Computer Science and Artificial Intelligence his master's thesis focused on developing an enhanced self-service software model tailored for the nigerian telecommunication sector, integrating concepts applicable in power electronics systems through efficient data processing and control mechanisms.

Currently, he is enrolled in a phd program in computer science and artificial intelligence at the federal university of technology minna. additionally, he has undertaken a phd mobility attachment program at the university of malaya, malaysia, further expanding his exposure to global research practices. he also holds a postgraduate diploma in education from the national teachers institute, reflecting his dedication to academic mentorship and teaching excellence.

Professional endeavors

Adamu Abubakar's professional career is marked by significant teaching, research, and managerial responsibilities. he presently serves as a lecturer i at ibrahim badamasi babangida university, lapai, where he teaches courses such as data communication, networking, artificial intelligence, and computer architecture. he actively supervises final-year projects, providing guidance that connects theoretical concepts with practical applications, including emerging technologies such as power electronics in telecommunication systems.

Prior to his academic role, he accumulated valuable industry experience at leading telecommunication firms in nigeria, including mtn nigeria limited and zain nigeria limited. Computer Science and Artificial Intelligence his positions in customer service and distribution management honed his leadership, technical, and organizational skills, critical in both corporate operations and academic settings.

Contributions and research focus

Adamu Abubakar’s research interests lie primarily in artificial intelligence and telecommunication technologies. his academic and industry experiences have positioned him to explore intelligent systems design, network optimization, Computer Science and Artificial Intelligence and data-driven solutions to enhance telecom services. he also emphasizes the potential applications of power electronics in smart grid communication systems and energy-efficient telecommunication infrastructure.

As a data steward in the virus outbreak data network (vodan) africa & asia covid-19 volunteer network, he contributed to data management and system analysis, reinforcing his commitment to impactful scientific research.

Impact and influence

Adamu Abubakar’s dual expertise in academia and the telecommunications industry allows him to bridge the gap between theoretical knowledge and practical solutions. his teaching impacts undergraduate and postgraduate students, inspiring the next generation of nigerian computer scientists. Computer Science and Artificial Intelligence his involvement in technological research related to artificial intelligence and power electronics has the potential to shape more efficient telecom and computing infrastructures in africa and beyond.

Academic cites

Adamu Abubakar’s master's thesis on enhanced self-service models for nigerian telecom networks remains a relevant citation for researchers developing customer-oriented software systems in developing regions. ongoing collaborations through his phd programs and attachments are expected to yield publications contributing to fields like machine learning, Computer Science and Artificial Intelligence network optimization, and the integration of power systems and power electronics in information technology.

Legacy and future contributions highlight

With a vision focused on blending artificial intelligence with telecommunication advancements, adamu abubakar aims to make long-lasting contributions to nigeria’s digital infrastructure. he is committed to further exploring the synergy between ai-driven network systems and power electronics, ensuring sustainable, energy-efficient, and intelligent telecom solutions. Computer Science and Artificial Intelligence his legacy will likely include not only scholarly publications but also the cultivation of students and professionals well-versed in next-generation technologies.

Notable Publications

  1. Title: Systematic literature review and bibliometric analysis of pipeline monitoring and leakage detection techniques
    Authors: Adamu Abubakar; Opeyemi Aderiike Abisoye; Isiaq Oludare Alabi; Adepoju Solomon; Ishaq Oyebisi Oyefolahan
    Journal: Discover Mechanical Engineering

  1. Title: Exploring the Integration of a Patient Generated Health Data in a FAIR Digital Health System in Low-Resourced Settings: A User-Centered Approach
    Authors: Abdullahi Abubakar Kawu; Rens Kievit; Adamu Abubakar; Mirjam Van Reisen; Dympna O'Sullivan; Lucy Hederman
    Conference: ACM International Conference (Proceedings)

Conclusion

Adamu Abubakar's career trajectory showcases a harmonious balance of teaching, research, and industrial practice. his expertise positions him to make impactful contributions to the fields of ai-driven telecommunication systems and power electronics applications in emerging markets. looking ahead, he is set to influence the development of energy-efficient, intelligent technologies that will shape nigeria's digital future and inspire the next generation of tech innovators.

Dr. Liping Zhang – Optimization, Machine Learing, Scientific Computing – Best Researcher Award

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Dr. Liping Zhang - Optimization, Machine Learing, Scientific Computing - Best Researcher Award

Tsinghua University - China

Author Profile

GOOGLE SCHOLAR

Summary

Liping Zhang, a distinguished professor at Tsinghua university, has built a remarkable career grounded in mathematical sciences, operations research, and tensor optimization. her early academic training from qufu normal university and the chinese academy of sciences laid a strong theoretical base, later enriched by international research experiences in taiwan and hong kong. over the years, she has contributed significantly to tensor decomposition, low-rank optimization, and eigenvalue problem-solving—areas that also have potential impact in emerging technologies such as power electronics. her leadership in prestigious national and enterprise-funded projects reflects both her academic rigor and her practical problem-solving capabilities in data processing and algorithm design. recognized by multiple scientific awards, zhang’s work continues to influence fields where computational efficiency and advanced mathematical modeling are critical.

Early academic pursuits

Liping Zhang began her academic journey with a strong foundation in mathematics, earning her bachelor's and master's degrees from qufu normal university. her interest in operations research guided her towards doctoral studies at the academy of mathematics and systems science (amss), chinese academy of sciences. during this period, she laid the groundwork for her later contributions in optimization theory and tensor computations— Optimization, Machine Learing, Scientific Computing areas that have relevance even in interdisciplinary fields such as power electronics, where mathematical modeling plays a crucial role.

Professional endeavors

After completing her ph.d., liping zhang held postdoctoral positions at beijing jiaotong university before joining tsinghua university. her early roles as lecturer and associate professor shaped her teaching philosophy and research rigor. she also expanded her global research experience through visiting fellowships at the hong kong polytechnic university and national cheng kung university. Optimization, Machine Learing, Scientific Computing these international exposures contributed to her understanding of applied optimization techniques, which are essential in diverse engineering domains, including power electronics where multi-dimensional data processing and tensor decomposition find practical applications.

Contributions and research focus

Professor Zhang's research primarily revolves around tensor decomposition, low-rank optimization, structured tensor optimization, and eigenvalue problems of nonnegative tensors. her work contributes valuable algorithms and theoretical insights that address computational challenges in multidimensional signal processing—a field increasingly impacting technological advancements like power electronics, Optimization, Machine Learing, Scientific Computing where efficiency and precision in signal interpretation are critical. her leadership in multiple national natural science foundation of china (nsfc) projects and enterprise-supported programs underscores her pivotal role in advancing algorithmic science.

Impact and influence

Liping Zhang’s scholarly contributions have not only enhanced the mathematical understanding of tensor computations but have also influenced applied sectors reliant on high-dimensional data modeling. her research outputs bear implications for optimization in system controls, quantum computation, and data analytics—disciplines integrally tied to the evolution of power electronics systems, Optimization, Machine Learing, Scientific Computing where reliable optimization algorithms improve device performance and energy efficiency. her recognitions, such as the award from the shandong big data research association and the natural science award from the chinese ministry of education, validate the impact and relevance of her research.

Academic citations

Zhang’s research is well-cited in academic literature, reflecting her standing in the fields of operations research and tensor optimization. her works on smoothing methods, complementarity problems, and semi-infinite programming algorithms have become references for scholars working on mathematical models applicable even in technical fields like control systems and power electronics. Optimization, Machine Learing, Scientific Computing her google scholar profile lists a substantial body of publications that are foundational to both theoretical advancements and practical engineering solutions.

Legacy and future contributions highlight

As a professor at Tsinghua university, Liping Zhang continues to mentor the next generation of researchers, inspiring work in mathematical optimization, machine learning, and tensor analysis. her future research is expected to bridge theoretical innovations with emerging technologies such as artificial intelligence and quantum computing—areas that will undoubtedly intersect with power electronics as demand grows for smart, energy-efficient devices. her academic legacy is built upon a consistent pursuit of solving complex computational problems with real-world engineering applications.

Notable Publications

  1. Title: Tensors and Some Applications
    Authors: L. Zhang; L. Qi; G. Zhou
    Journal: SIAM Journal on Matrix Analysis and Applications

  1. Title: Linear convergence of an algorithm for computing the largest eigenvalue of a nonnegative tensor
    Authors: L. Zhang; L. Qi
    Journal: Numerical Linear Algebra with Applications

  1. Title: Tensor absolute value equations
    Authors: S. Du; L. Zhang; C. Chen; L. Qi
    Journal: Science China Mathematics

  1. Title: A new exchange method for convex semi-infinite programming
    Authors: L. Zhang; S.Y. Wu; M.A. López
    Journal: SIAM Journal on Optimization

  2. Title: The non-interior continuation methods for solving the P0 function nonlinear complementarity problem
    Authors: Z. Huang; J. Han; D. Xu; L. Zhang
    Journal: Science in China Series A: Mathematics

Conclusion

Liping Zhang’s research legacy demonstrates a blend of theoretical depth and practical relevance, particularly in the optimization and processing of high-dimensional data. her innovations contribute not only to operations research but also extend to applied domains like machine learning, quantum computation, and power electronics, where robust algorithms drive technological advancement. as she continues her academic journey at tsinghua university, her future work is poised to inspire further breakthroughs at the intersection of mathematical theory and real-world engineering challenges.