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

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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.

Assoc. Prof. Dr. Bahador Abolpour – Optimization, Simulation and Coding – Excellence in Research

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Assoc. Prof. Dr. Bahador Abolpour - Optimization, Simulation and Coding - Excellence in Research

Sirjan University of technology - Iran

Author Profile

SCOPUS

ORCID

GOOGLE SCHOLAR

Summary

Dr. Bahador Abolpour is a distinguished academic with a rare combination of expertise in chemical engineering, aerospace engineering, and computer engineering. his broad educational background and dual ph.d. qualifications have enabled him to contribute meaningfully to various interdisciplinary fields such as transport phenomena, reaction kinetics, ai algorithms, image processing, and numerical modeling. his research has practical applications in modern industries including sustainable materials processing, aerospace navigation, and emerging power electronics technologies used in energy systems and smart grids.

Professionally, as an associate professor at sirjan university of technology, dr. abolpour integrates experimental, computational, and theoretical methods to solve complex engineering problems. his influence spans academia and industry, with numerous citations on platforms like google scholars and researchgate reflecting the impact of his work. his innovative approach brings fresh insights into areas such as process optimization and control systems that increasingly depend on advancements in power electronics.

Early academic pursuits

Bahador Abolpour began his academic journey with a bachelor's degree in chemical engineering from islamic azad university, marvdasht, iran, in 2008. in the same year, he also completed another bachelor's degree in aerospace engineering from payame noor university, shiraz, iran. demonstrating a broad academic curiosity, he further earned a bachelor's degree Optimization, simulation and coding in computer engineering from payame noor university in 2018. this diversified educational foundation laid the groundwork for his interdisciplinary research interests that bridge engineering disciplines such as chemical processes, computing systems, and aerospace technologies.

Professional endeavors

Dr. Abolpour currently serves as an associate professor of chemical engineering at sirjan university of technology. his professional career is marked by a commitment to both teaching and research, focusing heavily on fields such as transport phenomena, reaction kinetics, and numerical methods. with dual ph.d. degrees—one in chemical engineering (shahid bahonar university) Optimization, simulation and coding and another in aerospace engineering (university of tehran)—he embodies a rare blend of expertise that spans multiple engineering domains, including areas relevant to power electronics, a field increasingly intertwined with energy systems and chemical process optimization.

Contributions and research focus

Dr. Abolpour’s research encompasses a diverse range of topics: from experimental methods and reaction modeling in chemical engineering to image processing and ai algorithms in computer science and aerospace. his doctoral work on the instant reduction of magnetite concentrate by synthesis gas to produce sponge iron powder reflects his focus on sustainable materials processing, Optimization, simulation and coding a theme also resonant with the evolving field of power electronics, particularly in energy systems integration and smart grid technologies. another phd thesis on positioning using star images highlights his contribution to aerospace engineering, potentially applicable to satellite-based systems powered by advanced power electronics solutions.

Impact and influence

Dr. Abolpour’s interdisciplinary expertise influences both academic peers and industry practitioners, especially those working at the intersection of chemical engineering and energy systems. his research findings contribute to optimizing industrial processes, enhancing computational modeling techniques, and improving the efficiency of energy-related applications, such as those in power electronics and smart manufacturing systems. his dual role in chemical and aerospace engineering amplifies his influence in designing integrated systems that require cross-disciplinary knowledge.

Academic cites

Dr. Abolpour's scholarly work is reflected in reputable platforms such as google scholars and researchgate, where his publications receive academic attention. his research on transport phenomena and reaction kinetics finds application in chemical process industries, while his contributions to ai algorithms and numerical methods offer value to emerging fields like predictive Optimization, simulation and coding maintenance and autonomous systems—domains that are increasingly adopting power electronics technologies.

Legacy and future contributions

Dr. Abolpour's legacy lies in his ability to bridge seemingly unrelated engineering fields to produce innovative solutions. in the coming years, he aims to explore the integration of advanced modeling techniques, ai-driven control systems, and optimization methods in energy and aerospace applications. such interdisciplinary research is expected to contribute significantly to the Optimization, simulation and coding development of high-performance systems, especially those relying on power electronics for enhanced energy efficiency and system reliability.

Notable Publications

  1. Title: A numerical investigation for lithium extraction from the seawater using hydrodynamic and electromagnetic fields effects in multi-S-shaped channel
    Authors: Bahador Abolpour; Ramtin Hekmatkhah; Hanie Abbaslou
    Journal: Computational Particle Mechanics

  1. Title: Multi-objective Optimization of Nanoparticle Mixture for Improving the Performance of Heat Exchangers
    Authors: Bahador Abolpour; Rahim Shamsoddini
    Journal: Iranian Journal of Science and Technology, Transactions of Mechanical Engineering

  1. Title: Gas–Solid Reaction Kinetic and Mechanism Between Fe3O4 and CH4
    Authors: Bahador Abolpour; M. Mehdi Afsahi
    Journal: Transactions of the Indian National Academy of Engineering

  1. Title: Hydrogen reduction of magnetite concentrate particles
    Authors: Bahador Abolpour; M. Mehdi Afsahi; M. Azizkarimi
    Journal: Mineral Processing and Extractive Metallurgy: Transactions of the Institute of Mining and Metallurgy

  2. Title: Mechanism of reaction of silica and carbon for producing silicon carbide
    Authors: Bahador Abolpour; Rahim Shamsoddini
    Journal: Progress in Reaction Kinetics and Mechanism.

Conclusion

Dr. Abolpour’s career exemplifies the value of multidisciplinary expertise in driving technological progress. his ability to blend concepts from chemical processes, computational intelligence, and aerospace systems paves the way for innovative solutions in critical sectors such as energy and automation. looking forward, his research promises to make lasting contributions to the integration of power electronics in high-efficiency energy systems, aerospace technologies, and industrial automation, shaping the future of engineering research and practice.