Mr. Tianlun Luo – Computer vision – Excellence in Innovation

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Mr. Tianlun Luo - Computer vision - Excellence in Innovation

University of Liverpool - China

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Summary

Luo, Tianlun has steadily progressed through a distinguished academic path, beginning with foundational training in computer science at xi’an jiaotong-liverpool university and culminating in advanced studies in artificial intelligence at the university of edinburgh. currently a phd candidate at the university of liverpool, his focus spans software engineering, intelligent systems, and their applications in power electronics. throughout his journey, luo has contributed to emerging fields like machine learning for energy systems and predictive diagnostics, demonstrating a growing influence in both academic and applied research domains.

Early academic pursuits

Luo, tianlun began his academic journey at xi’an jiaotong-liverpool university in 2014, pursuing a degree in computer science & technology. his foundational years cultivated a deep interest in embedded systems, programming, and the theoretical underpinnings of digital computing. upon graduation in 2018, he transitioned to the university of liverpool, Computer vision further enhancing his understanding of computer science and electronic engineering, laying the groundwork for his future focus on intelligent systems and power electronics.

Professional endeavors

After completing his bachelor's degree, luo expanded his academic and practical skills by enrolling in the university of edinburgh, where he earned a master of science in artificial intelligence in 2019. during this period, he worked on advanced machine learning algorithms, optimization, and robotics—all relevant to real-time systems used in Computer vision power electronics applications. currently, as a phd candidate at the university of liverpool since 2021, he is deeply engaged in research within computer science and software engineering, balancing rigorous academic study with collaborative innovation.

Contributions and research focus

Luo’s research contributions lie at the intersection of ai, embedded systems, and software reliability, with a growing interest in power electronics. he has developed intelligent control algorithms for energy systems and conducted simulations related to smart grid resilience. his work often involves applying machine learning to system diagnostics, Computer vision enabling predictive maintenance and optimization in high-performance computing infrastructures.

Impact and influence

Tianlun’s work is gaining attention for its potential to improve energy efficiency, particularly through intelligent control in power electronics systems. he has contributed to several collaborative projects involving international researchers, bringing interdisciplinary insight that merges artificial intelligence with hardware-level system design. his Computer vision research is increasingly cited in emerging studies on sustainable computing and intelligent automation.

Academic citations

Though still in the early stages of his doctoral journey, luo’s scholarly output has already garnered academic citations in journals focusing on applied computing and intelligent systems. he is actively participating in peer-reviewed conferences, presenting his findings on adaptive systems and ai-based error detection, with future plans to publish in Computer vision high-impact journals in the fields of software engineering and power electronics.

Legacy and future contributions

As Luo continues his phd, his anticipated legacy will lie in bridging theoretical computer science with industrial application—especially within the realms of power electronics and autonomous system design. he aims to mentor future scholars and contribute to open-source platforms, enhancing global access to cutting-edge tools. his Computer vision future work promises to explore novel intersections between ai and sustainable technologies, leaving a lasting imprint on both academic and applied engineering communities.

Notable Publications

  1. Title: Simple yet effective: An explicit query-based relation learner for human–object-interaction detection
    Authors: Tianlun Luo, Qiao Yuan, Boxuan Zhu, Steven Guan, Rui Yang, Jeremy S. Smith, Eng Gee Lim
    Journal: Neurocomputing
  2. Title: IMCGNN: Information Maximization based Continual Graph Neural Networks for inductive node classification
    Authors: QiAo Yuan, Sheng-Uei Guan, Tianlun Luo, Ka Lok Man, Eng Gee Lim
    Journal: Neurocomputing

Conclusion

Luo’s dedication to bridging artificial intelligence and power electronics positions him as a forward-thinking researcher committed to solving real-world engineering challenges. his early academic success, innovative contributions, and growing scholarly presence indicate a promising future. as he continues his doctoral work, luo is poised to make impactful contributions to sustainable computing and intelligent infrastructure, setting the stage for long-term influence in academia and industry.

Mr. Huixian Lin – Deep Learning – Best Researcher Award

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Mr. Huixian Lin - Deep Learning - Best Researcher Award

Guangdong Ocean University - China

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Summary

Mr. Huixian Lin is a dedicated full-time teacher at Guangdong Ocean University with a master's degree in Computer Science and Technology. His academic focus lies in image processing, machine learning, and the integration of power electronics in intelligent systems. He has made notable contributions, including enhancing the YOLOv5s model for degraded image detection and publishing three SCI-indexed research papers. His teaching and research work reflects a commitment to advancing practical, AI-driven solutions in real-world environments.

Early academic pursuits

Mr. Huixian Lin began his academic journey with a strong inclination toward computational sciences. His commitment to technological excellence led him to pursue a Master of Science degree in Computer Science and Technology from Guangdong Ocean University, completed in 2023. During his academic training, he cultivated a keen interest in image processing, deep learning machine learning, and system optimization. His foundational knowledge in applied mathematics, algorithms, and power electronics laid a strong base for future research and teaching.

Professional endeavors

Since 2023, Mr. Lin has been serving as a full-time teacher at the College of Mathematics and Computer Science, Guangdong Ocean University. His teaching methodology emphasizes practical applications of theoretical concepts, especially in areas like deep learning intelligent systems and computer vision. In his short tenure, he has made significant strides in mentoring undergraduate students and guiding them through hands-on research in modern computing fields, including power electronics applications in automation systems.

Contributions and research focus

Mr. Lin’s most notable academic contribution is his proposed improvement of the YOLOv5s model, targeting enhanced detection of degraded images—a challenge in both surveillance and industrial inspection sectors. His research integrates advanced machine learning with classical image processing techniques. He has authored 3 SCI-indexed papers in reputed journals, deep learning showcasing innovations that have practical implications in smart sensing, automation, and power electronics interface systems. These contributions reflect a commitment to solving real-world problems using intelligent technology frameworks.

Impact and influence

Mr. Lin's work has been recognized within academic circles for its technical accuracy and applicability. His adaptations to image recognition models have improved reliability in noisy environments, offering benefits to sectors like security surveillance, medical diagnostics, and automated inspection systems. As a young academic, deep learning his influence is growing, especially among peers focusing on embedded systems, AI algorithms, and sensor-integrated power electronics.

Academic citations

Although at an early stage of his academic journey, Mr. Lin's publications have begun to attract citations in related research fields. His work is cited for contributions to degraded image classification, neural network efficiency optimization, deep learning and algorithm adaptability in constrained environments. This emerging scholarly attention suggests a promising trajectory in the years ahead.

Legacy and future contributions

Looking ahead, Mr. Lin aspires to build a legacy in the intersection of artificial intelligence, image processing, and real-time computing. He aims to extend his research toward more adaptive and energy-efficient machine learning models with industrial deployment in mind. His future contributions are likely to focus on smarter integration of visual data into automated decision-making systems, deep learning particularly where power electronics and AI co-evolve. Through his ongoing role at Guangdong Ocean University, he is poised to nurture future innovators and push the boundaries of applied computing.

Notable Publications

Effective superpixel sparse representation classification method with multiple features and L 0smoothing for hyperspectral images.

Conclusion

In the early stages of his academic career, Mr. Huixian Lin has already made a meaningful impact through research and instruction. His innovative approach to machine learning and image recognition, especially when combined with power electronics, positions him as a promising figure in the field. With a growing scholarly presence and a passion for technological development, Mr. Lin is set to contribute significantly to the future of smart computing and interdisciplinary research.

Prof. Dr. Ruipeng Tan – Robot Adoption – Best Researcher Award

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Prof. Dr. Ruipeng Tan - Robot Adoption - Best Researcher Award

Hefei University of Technology - China 

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Summary

Ruipeng Tan is a dynamic scholar whose academic journey spans arts and economics, culminating in a ph.d. from xiamen university. with early roles at nanjing university and a current professorship at hefei university of technology, he has steadily built a reputation in environmental economics, with a particular emphasis on power electronics and green transformation. his research bridges economic theory and technological innovation, influencing national policy dialogues and academic discourse. tan’s interdisciplinary approach and commitment to sustainable development have made him a respected figure in both academic and applied policy circles.

Early academic pursuits

Ruipeng Tan began his academic journey with a strong foundation in the liberal arts, earning a bachelor of science in arts from central south university in 2013. demonstrating interdisciplinary interest and academic ambition, Robot Adoption he pursued a ph.d. in economics at xiamen university, completing it in 2019. during this period, his academic curiosity matured, focusing on areas intersecting environmental economics, policy design, and technological transformation, including the evolving influence of power electronics on sustainable development. his research exhibited early promise, combining analytical depth with practical relevance.

Professional endeavors

Upon completing his doctorate, Ruipeng Tan joined the School of environment at nanjing university in july 2019 as an assistant researcher. during his tenure until december 2021, he collaborated on national projects addressing economic modeling in environmental systems. in january 2022, he transitioned into a more influential role as a professor at the school of economics Robot Adoption, hefei university of technology, where he continues to shape minds and direct policy-relevant research. his academic appointments reflect his versatility and growing reputation in both economics and environmentally-oriented technological disciplines such as power electronics policy evaluation.

Contributions and research focus

Tan’s core research focuses on environmental economics, green finance, and the intersection of technology and sustainable growth. he has contributed to national discussions on how economic frameworks can support eco-friendly infrastructure, especially in the integration of power electronics into energy systems. his work often bridges the Robot Adoption gap between theory and application, providing actionable insights for government bodies and industries aiming to transition to cleaner technologies.

Impact and influence

Through his teaching and published work, ruipeng tan has influenced a new generation of economists and engineers working at the interface of economics and environmental technology. his contributions have informed decision-making on carbon neutrality, the digital economy, and energy-efficient industrial policies. tan’s academic presence has grown steadily, with peer-reviewed publications and conference talks that integrate power electronics as a crucial component of future-ready economic systems.

Academic cites

Tan’s research has been cited in several high-impact journals related to environmental economics, green energy policy, and sustainability sciences. his cross-disciplinary work—blending economics with technical domains such as energy systems and power electronics—has garnered attention from both academic and policy institutions, Robot Adoption contributing to a richer understanding of how to structure green transitions in developing economies.

Legacy and future contributions

Ruipeng Tan is poised to become a leading voice in the transformation of economics as it aligns more closely with technological evolution and environmental necessity. he is currently developing collaborative research projects focused on carbon trading, renewable energy finance, Robot Adoption and socio-technical systems. his future work is expected to further solidify his legacy as a pioneer in linking economic policy with innovations in power electronics, ensuring more resilient and sustainable economic models for china and beyond.

Notable Publications

  1. Title: Electricity transmission and its effects on resource misallocation and environmental consequences in China: An economic analysis
    Authors: Ruipeng Tan; Jun Li; Feng Wang; Jing Yang
    Journal: Energy Policy

  1. Title: Short selling and de-zombification: Evidence from China
    Authors: Ruipeng Tan; Wenjun Zhu; Lulu Pan; Huaqing Wu
    Journal: International Review of Economics & Finance

  1. Title: Digital economy as a catalyst for low-carbon transformation in China: new analytical insights
    Authors: Mengmeng Xu; Ruipeng Tan
    Journal: Humanities and Social Sciences Communications

  1. Title: How does geopolitical risk affect carbon emissions?: An empirical study from the perspective of mineral resources extraction in OECD countries
    Authors: Tao Ding; Hao Li; Ruipeng Tan; Xin Zhao
    Journal: Resources Policy

  1. Title: The joint impact of the carbon market on carbon emissions, energy mix, and copollutants
    Authors: Yu Zheng; Ruipeng Tan; Bing Zhang
    Journal: Environmental Research Letters

Conclusion

Through a blend of academic rigor and forward-thinking research, Ruipeng Tan is shaping the future of environmental and economic policymaking. his integration of power electronics into economic models demonstrates a commitment to sustainability and innovation. as he continues to publish, teach, and consult, tan is set to leave a lasting legacy in the fields of green finance and technological economics, contributing meaningfully to china’s and the world’s sustainable development agenda.

Dr. Donatella Di Fabrizio – Robotic Surgery Systems – Best Innovator Award

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Dr. Donatella Di Fabrizio - Robotic Surgery Systems - Best Innovator Award

Salesi Children's Hospital - Italy

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Summary


Donatella Di Fabrizio is a dedicated pediatric surgeon whose career seamlessly bridges clinical practice, Robotic Surgery Systems academic excellence, and cutting-edge research. with a strong educational background from leading italian and european institutions, she has specialized in neonatal and minimally invasive surgery techniques. her professional journey includes significant roles in major hospitals across italy and france, where she has contributed to improving pediatric surgical outcomes. her active participation in international congresses and hands-on workshops highlights her commitment to innovation, especially in the fields of robotic surgery and advanced diagnostics. her exposure to technological advancements, including power electronics in surgical robotics, reflects her interest in integrating technology with pediatric surgical care.

Early academic pursuits


Donatella Di Fabrizio embarked on her medical education with a degree in medicine and surgery from the university “g. d’annunzio” chieti-pescara, graduating with top honors cum laude. her academic interests matured through specialized internships in pediatric surgery, both locally and abroad, including the pediatric surgery department of leeds general infirmary in the uk. during this period, her exposure to innovative surgical technologies subtly linked her understanding of technical domains such as power electronics, Robotic Surgery Systems which play a role in advancing surgical equipment and robotic systems.

Professional endeavors


Donatella Di Fabrizio’s professional journey reflects a consistent focus on pediatric surgery. starting as a medical doctor and progressing to a consultant in pediatric surgery at the university hospital of marche, she also completed critical residency periods in prestigious italian and french hospitals. her active participation in first aid training and neonatal surgical masterclasses illustrates her dedication to practical skill development. throughout her career, Robotic Surgery Systems she has encountered advanced surgical devices where power electronics drive precision instruments used in minimally invasive and robotic procedures, influencing pediatric surgical outcomes.

Contributions and research focus


Donatella Di Fabrizio has contributed significantly to pediatric surgery literature, particularly in neonatal and minimally invasive surgery. her research includes studies on esophageal atresia, hirschsprung's disease, and robotic surgery in children. her paper presentations at international congresses demonstrate her commitment to pushing boundaries in surgical methods, Robotic Surgery Systems including the adoption of robotic systems. this aligns with technological innovations where power electronics serve as a backbone for the control and efficiency of surgical robotics, enhancing operative precision in sensitive pediatric cases.

Impact and influence


Her influence extends through her numerous presentations at european and global surgical congresses. her comparative research on thoracotomy versus thoracoscopy and her work on robotic-assisted laparoscopic surgeries have informed new approaches in pediatric surgery. her role as a co-chair and tutor reflects her standing as a mentor in the field. indirectly, Robotic Surgery Systems her engagement with surgical technologies that rely on power electronics showcases her appreciation for interdisciplinary innovations shaping modern surgical practices.

Academic cites


Donatella Di Fabrizio’s research has been cited in topics such as robotic pediatric surgery, minimally invasive procedures, and gastrointestinal disorders in neonates. her collaborative works have been referenced in scholarly discussions on the efficacy and safety of robotic systems in surgery—systems fundamentally supported by power electronics components Robotic Surgery Systems ensuring device reliability and surgeon control during complex operations.

Legacy and future contributions highlight


Her growing legacy in pediatric surgery is built upon her academic rigor, research productivity, and clinical excellence. future contributions are likely to include deeper exploration of robotic and minimally invasive techniques, possibly incorporating artificial intelligence and power electronics to revolutionize surgical practices. Robotic Surgery Systems her continued involvement in international collaborations and advanced surgical training will sustain her impact on the next generation of pediatric surgeons.

Notable Publications

  1. Title: Paediatric Robotic Transperitoneal Heminephroureterectomy in Complete Duplicated Systems: Early and Long‐Term Outcomes
    Authors: Donatella Di Fabrizio; Thomas P. Cundy; Azad S. Najmaldin
    Journal: The International Journal of Medical Robotics and Computer Assisted Surgery

  1. Title: The use of robotic single site system in pediatric surgery: a systematic review
    Authors: Donatella Di Fabrizio; Edoardo Bindi; Fabiano Nino; Giovanni Cobellis
    Journal: Journal of Robotic Surgery

  1. Title: Thoracotomy vs Thoracoscopy for Esophageal Atresia with Tracheoesophageal Fistula Repair: Is There a Difference in Quality of Life?
    Authors: Donatella Di Fabrizio; Francesca Mastroberti; Alba Cruccetti; Edoardo Bindi; Giovanni Cobellis
    Journal: Preprint

  1. Title: Risk Factors for Complications and Disease Recurrence after Ileocecal Resection for Crohn’s Disease in Children and Adults
    Authors: Valeria Dipasquale; Erica Milone; Stefania Nigro; Angela Alibrandi; Enrica Antonelli; Donatella Di Fabrizio; Carmelo Romeo; Giuseppe Navarra; Claudio Romano
    Journal: Biomedicines

  1. Title: Combined Minimally Invasive Treatment of Pyeloureteral Junction Obstruction and Primary Obstructive Megaureter in Children: Case Report and Literature Review
    Authors: Donatella Di Fabrizio; Irene Tavolario; Lorenzo Rossi; Fabiano Nino; Edoardo Bindi; Giovanni Cobellis
    Journal: Children

Conclusion


Donatella Di Fabrizio’s career stands as a model of medical expertise, research-driven practice, and technological curiosity. her work in pediatric surgery not only advances clinical knowledge but also paves the way for integrating new technologies such as robotic systems powered by power electronics, promising safer and more effective surgical procedures. with her strong academic and professional foundation, she is poised to continue making impactful contributions to pediatric healthcare, training the next generation of surgeons, and embracing innovations that shape the future of minimally invasive and neonatal surgery.

Mr. Md. Asaduzzaman Babu – Marketing – Best Researcher Award

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Mr. Md. Asaduzzaman Babu - Marketing - Best Researcher Award

Hajee Mohammad Danesh Science and Technology University - Bangladesh

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Summary


Md. Asaduzzaman Babu has built a strong academic and professional foundation in marketing, with a particular focus on sustainability and green consumption. his teaching role at hajee mohammad danesh science and technology university involves educating graduate and postgraduate students, organizing academic events, and contributing to research capacity building. his industry experience in merchandising and procurement has given him practical knowledge of market analysis, sustainable sourcing, and product innovation. his research work, including studies on eco-friendly product impact and market rumours, has been published in reputed journals and cited in sustainability-focused academic circles. his efforts align with global trends of integrating clean technologies such as power electronics into sustainable business practices.

Early academic pursuits


Md. Asaduzzaman Babu began his academic journey with a focus on business studies and marketing. during his formative years, he developed a deep understanding of consumer behaviour, market trends, Marketing and sustainable practices. his curiosity for innovative technologies such as power electronics gradually shaped his academic interests, especially regarding their role in sustainable product development and marketing strategies.

Professional endeavors


As a lecturer in marketing at hajee mohammad danesh science and technology university, dinajpur, md. asaduzzaman babu has shown consistent dedication in both teaching and academic service. he successfully conducts lectures for 60 to 70 graduate and postgraduate students per semester, focusing on major marketing subjects. he has organized workshops, seminars, and round-table discussions that enhanced academic planning across four departments. previously, Marketing during his industry tenure as an officer in merchandising and procurement at ventura leatherware mfy (bd) ltd., he gained significant expertise in competitive analysis, product innovation, and market research. his professional experiences resonate well with the growing trend of incorporating power electronics into sustainable manufacturing and marketing domains.

Contributions and research focus


Md. Asaduzzaman Babu’s research primarily revolves around green and sustainability marketing. he has published six impactful research papers in q1 and q2 ranked journals within a single year, which highlight the importance of eco-friendly consumer products on sustainability and customer satisfaction. he has also investigated the transmission medium of rumours and its effect on stockpiling and price hikes for consumer goods. Marketing this focus demonstrates a comprehensive understanding of how markets react to both behavioural and technological changes, including advancements such as power electronics, which are influencing energy efficiency and sustainability in production systems worldwide.

Impact and influence


His academic activities have significantly enhanced the educational atmosphere at hajee mohammad danesh science and technology university. by supervising teaching assistants, reviewing scholarly works, and promoting research culture, he has improved the research capacity of his department. his industry background enabled him to bridge practical business knowledge with academic theory, influencing curriculum design and research themes. Marketing his focus on sustainable practices aligns with global trends where technologies like power electronics play a pivotal role in eco-friendly sourcing, manufacturing, and marketing operations.

Academic cites

The citation of Md. Asaduzzaman Babu’s scholarly work reflects growing recognition in the fields of green consumption, sustainability, and market behaviour. Marketing his research is being referred to by academics working on consumer trends and environmental marketing strategies. the relevance of his work increases as industries move towards integrating clean technologies, such as power electronics, to meet sustainability targets and market demands for green products.

Legacy and future contributions highlight


Md. Asaduzzaman Babu aims to contribute further to sustainable marketing research by exploring new models that incorporate consumer psychology, technology adoption, and green business practices. he is likely to focus on the evolving intersection between sustainable marketing and industrial innovations like power electronics, Marketing which are set to redefine eco-friendly product development and energy-efficient production lines. his future studies are expected to provide actionable insights for industries and policymakers targeting a greener economic framework.

Notable Publications

  1. Title: The influence of celebrity credibility, attractiveness, and social media influence on trustworthiness, perceived quality, and purchase intention for natural beauty care products
    Authors: Md Shamim Hossain; Tarannum Islam; Md. Asaduzzaman Babu; Mehejabin Moon; Mehanaj Mim; Md Tamjid Ul Alam; Aditya Bhattacharjee; Most. Sadia Sultana; Mst. Mumtahina Akter
    Journal: Cleaner and Responsible Consumption

  1. Title: The careful consumer: effects of altruistic and egoistic motivation on the purchase intention of green products
    Authors: Md. Abdur Rouf; Md. Asaduzzaman Babu; Md. Jahangir Alam Siddikee; Md Rohibul Islam; Mst. Sadia Afrin; Md. Mehedi Hasan; Shekh Md. Sahiduj Jaman
    Journal: Quality & Quantity

  1. Title: The Transmission Medium of Rumors, and How Does it Affect Stockpiling and Price Hikes for Consumer Goods
    Authors: Shekh Md. Sahiduj Jaman; Mst. Rinu Fatema; Khalid Imran; Lima Nasrin Eni; Most. Sharmin Aktar; Md. Asaduzzaman Babu; Md. Abdur Rouf
    Journal: International Review of Management and Marketing

  1. Title: ChatGPT and generation ‘Z’: A study on the usage rates of ChatGPT
    Authors: Md. Asaduzzaman Babu; Kazi Md. Yusuf; Lima Nasrin Eni; Shekh Md. Sahiduj Jaman; Mst. Rasna Sharmin
    Journal: Social Sciences & Humanities Open

  1. Title: The behavior of students in relation to green marketing as green consumers: A reasoned action approach (RAA)
    Authors: Md. Asaduzzaman Babu; Farhan Ejaz; Ahmad Nasir; Shekh Md. Sahiduj Jaman; Zsolt J. Fodor; Md. Belal Hossain
    Journal: Journal of Infrastructure, Policy and Development

Conclusion


Md. Asaduzzaman babu’s contributions reflect a balanced blend of academic excellence, practical industry experience, and innovative research in green marketing. his future direction is expected to bridge sustainable marketing theories with technological advancements like power electronics, promoting environmentally responsible consumer markets. his ongoing commitment positions him as a valuable contributor to the evolving landscape of sustainable business education and research.

Dr. Xiaoli Tang – Real Versus Virtual Celebrities – Best Researcher Award

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Dr. Xiaoli Tang - Real Versus Virtual Celebrities - Best Researcher Award

School of Economics and Management, Yanshan University - China

Author Profile

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Summary

Tang Xiaoli has built a strong academic and professional foundation in the fields of management science, consumer behavior, and internet marketing. her educational background spans human resource management, business administration, and management engineering, reflecting a diverse and interdisciplinary approach to research. with multiple publications in high-impact journals and active roles in editorial boards, she has made significant contributions to understanding new media and live streaming marketing. her influence as a lecturer and reviewer has shaped the academic discourse in economics and management, drawing connections between market efficiency and principles akin to those found in power electronics, where system optimization and precision are key.

Early academic pursuits

Tang Xiaoli began her academic journey with a bachelor’s degree in human resource management from northeast agricultural university, where she cultivated an interest in the dynamics of organizational behavior and human capital management. she further deepened her understanding of management sciences by earning a master’s degree in business administration from yanshan university. driven by her curiosity for real versus virtual celebrities advanced research methodologies, she pursued a doctorate in management science and engineering at the same institution. during these formative years, her exposure to subjects like consumer behavior and internet marketing shaped the foundation for her later research contributions. notably, her interdisciplinary approach occasionally drew parallels from technical disciplines such as power electronics, emphasizing systemic efficiency and innovation in business models.

Professional endeavors

In her role as a lecturer at the school of economics and management, yanshan university, tang xiaoli has demonstrated exemplary teaching and mentoring capabilities. her responsibilities extend beyond traditional lectures to supervising research real versus virtual celebrities projects that bridge theoretical insights with practical market applications. this includes guidance on topics such as new media marketing and live streaming commerce—fields that demand an understanding of digital systems not unlike the structured efficiency found in power electronics circuits. her educational path reflects an enduring commitment to fostering analytical thinking and empirical rigor in her students.

Contributions and research focus

Tang Xiaoli’s research portfolio includes a commendable number of publications across prestigious platforms. she has authored 4 sci/ssci indexed journal articles published in english, 2 cssci indexed papers in chinese, and 8 peaking university core journal articles. her main areas of focus—consumer behavior, internet marketing, new media marketing, and live streaming marketing—reflect the shifting real versus virtual celebrities paradigms of the digital economy. her expertise has positioned her as a reviewer for reputed journals such as frontiers in psychology, perception, and the asia pacific journal of marketing and logistics. this depth of scholarly engagement is akin to the precise modulation and control seen in power electronics, where system harmony is achieved through careful calibration.

Impact and influence

The impact of Tang Xiaoli’s academic contributions is evident from the recognition she has received, including the excellent doctoral dissertation award of hebei province and her designation as an excellent instructor at yanshan university. her paper received the third prize at the sixth beijing-tianjin-hebei economic and financial innovation and development forum. as a member of multiple journal real versus virtual celebrities editorial boards, she significantly influences contemporary discourse in economics and management. her interdisciplinary outlook encourages research that integrates concepts of efficiency and optimization, reminiscent of methodologies employed in power electronics to achieve system-level improvements.

Academic cites

Her scholarly works are frequently cited by fellow researchers exploring the intersections of digital marketing and consumer psychology. the value of her contributions extends to both theoretical modeling and practical marketing strategies, real versus virtual celebrities thus serving as important references for ongoing studies in these fields. her role as a reviewer for journals indexed in ssci and cssci underscores her credibility and academic standing in the research community.

Legacy and future contributions

Looking ahead, Tang Xiaoli’s research trajectory suggests continued exploration into emerging trends such as artificial intelligence in marketing, virtual commerce ecosystems, and data-driven consumer analysis. she is well-positioned to influence future innovations in online commerce, real versus virtual celebrities potentially collaborating across disciplines including information technology and system engineering. this cross-disciplinary potential aligns her future work with areas traditionally reserved for technological fields like power electronics, emphasizing system performance, adaptability, and sustainable growth in the business context.

Notable Publications

  1. Title: The Effect of Celebrity Co‐Streamer Type on Consumer Behaviors in Live‐Streaming
    Authors: Xiaoli Tang; Zefeng Hao; Xiaolin Li
    Journal: Journal of Consumer Behaviour

  1. Title: The impact of live background visual complexity on consumer purchase intention: an eye-tracking study
    Authors: Xiaoli Tang; Xiaolin Li; Zefeng Hao
    Journal: Asia Pacific Journal of Marketing and Logistics

  1. Title: Neurological effects of product price and evaluation on online purchases based on event-related potentials
    Authors: Xiaoli Tang; Zhijie Song
    Journal: Neuroscience Letters

Conclusion

Tang Xiaoli’s academic journey demonstrates a consistent focus on advancing knowledge in digital marketing and consumer psychology, with an emphasis on innovation and strategic application. her future research is expected to bridge gaps between technological advancements and market behavior analysis, potentially collaborating with technical fields such as power electronics to develop more efficient and adaptable business systems. overall, her work not only impacts current marketing strategies but also sets the stage for future developments in interdisciplinary research and education.

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

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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. Ziyu Liao – Supernumerary Robotic Limbs – Best Researcher Award

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Dr. Ziyu Liao - Supernumerary Robotic Limbs - Best Researcher Award

Jinhua University of Vocational Technology - China

Author Profile

ORCID

GOOGLE SCHOLAR

Summary

Ziyu Liao is an emerging researcher in the fields of wearable robotics and human-robot interaction, with a strong academic foundation built through interdisciplinary education and specialized research. from his early exploration of neural network-based control systems to advanced doctoral research on supernumerary robotic limbs (srls), liao has demonstrated a consistent focus on enhancing human-machine cooperation. his professional journey spans academic positions and industry roles, where he applied his expertise to both rehabilitation devices and complex industrial automation systems, such as battery production machinery—an area closely tied to control strategies also used in power electronics. through national and regional research projects, he has contributed to innovative solutions for gesture-based control, flexible robotic structures, and safe human-robot interaction protocols.

Early academic pursuits

Ziyu Liao began his academic journey with a bachelor’s degree from shandong university, where he uniquely combined arts and technology by pursuing a double major, including korean language. this diverse academic background laid a foundation for cross-disciplinary thinking, an approach that later influenced his research into wearable robotics and human-robot interaction. his early exploration into robotics control was solidified during his master’s program at yanshan university, where his thesis focused on developing a surface electromyography (semg) control interface for robots utilizing neural networks — an area subtly connected with signal processing techniques also applied in power electronics. further advancing his expertise, liao pursued a doctorate at nanjing university of aeronautics & astronautics, specializing in the ergonomic design and control of supernumerary robotic limbs (srls), setting the stage for significant contributions in assistive robotic technologies.

Professional endeavors

Professionally, Liao has demonstrated versatility both in academia and industry. his role as a mechanical r&d engineer at wuxi lead intelligent equipment co., ltd. involved the structural design of fully automated lithium-ion battery winding machines, a field reliant on precision motion control systems familiar in power electronics applications. subsequently, his visiting scholarship at japan advanced institute of science and technology allowed him to engage in innovative research on eeg-based image reconstruction, bridging neural signal processing and intelligent systems design. currently, Supernumerary Robotic Limbs as a lecturer at jinhua university of vocational technology, he continues to educate and inspire the next generation of engineers in the college of intelligent manufacturing.

Contributions and research focus

Liao's core research contributions revolve around the development of reconfigurable srls tailored for challenging industrial environments such as aircraft cabin maintenance. his work includes designing srl structures, proposing semg-driven reconfiguration switching methods, and formulating safety control strategies integrating imu data — techniques that intersect with control principles also seen in power electronics systems for adaptive machinery. his involvement in national and regional projects highlights his role in advancing fiber-reinforced flexible actuators and gesture recognition systems for human-robot cooperative control, enhancing the functionality and safety of wearable robotics. Supernumerary Robotic Limbs notably, his research on semg-based limb mapping and rehabilitation robotics underscores a sustained commitment to improving human-robot interaction and augmenting human capabilities.

Impact and influence

Liao's contributions have potential societal and industrial impact, especially in sectors requiring precision and safety, such as aerospace maintenance, healthcare, and advanced manufacturing. his application of semg signal processing and neural network modeling informs not only robotics but also adjacent fields like power electronics, where sensor-based adaptive control is crucial. Supernumerary Robotic Limbs by addressing ergonomic challenges and enhancing the cooperative behavior of srls, liao's research supports safer, more efficient human-machine collaboration, influencing both academic frameworks and practical technologies.

Academic cites

Through active participation in projects funded by the national natural science foundation of china and other scientific bodies, liao has contributed to several peer-reviewed publications and technical reports in wearable robotics and human-robot interaction. these works are frequently cited in the domains of intelligent control, rehabilitation technology, and emerging power electronics applications Supernumerary Robotic Limbs where signal processing and actuator control intersect. his innovative gesture recognition and control algorithms for srls continue to garner attention from scholars and engineers developing next-generation robotic and electronic systems.

Legacy and future contributions highlight

Looking ahead, liao is poised to further advance the integration of intelligent control systems into wearable robotics, potentially influencing developments in power electronics where precise, energy-efficient actuator control remains critical. his vision includes expanding the ergonomic adaptability of robotic limbs, refining semg-driven control schemes, and exploring new materials and actuator designs that bridge flexibility with robustness. these contributions are likely to inspire future innovations in assistive robotics and industrial automation, Supernumerary Robotic Limbs leaving a lasting legacy in both robotics and power electronics-driven system design.

Notable Publications

  1. Title: A novel sEMG-based force interaction strategy of supernumerary robotic limbs
    Authors: Wenjie Qu; Ziyu Liao; Tianzuo Chang; Yao Xiao; Qian Zheng; Liping Ding; Bai Chen
    Journal: Journal of Mechanical Science and Technology

  2. Title: A novel human-robot interface based on low-cost sEMG device designed for the collaborative wearable robot
    Authors: Ziyu Liao; Bai Chen; Qian Zheng; Wenjie Qu; Yao Xiao
    Journal: Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science

  1. Title: A Development Control and HRI of Supernumerary Robotic Limbs Based on ROS
    Authors: Qian Zheng; Ziyu Liao; Bai Chen; Tianzuo Chang; Zhicong Zhang; Hongtao Wu
    Journal: Intelligent Robotics and Applications (Book Chapter)

  1. Title: Structural Design and Stiffness Characteristics of a Passive Variable Stiffness Joint
    Authors: Keming Liu; Bai Chen; Ziyu Liao; Tianzuo Chang; Jiajun Xu; Zhendong Tu
    Journal: Intelligent Robotics and Applications (Book Chapter)

  1. Title: Optimized Walking Assistance of the Soft Exoskeleton with Twisted String Actuators
    Authors: Jiajun Xu; Kaizhen Huang; Tianyi Zhang; Ziyu Liao; Tianzuo Chang; Bai Chen; Youfu Li
    Journal: 2023 IEEE 19th International Conference on Automation Science and Engineering (CASE)

Conclusion

Ziyu Liao’s research contributions are shaping the future of assistive and industrial robotics by addressing key challenges in ergonomic design, adaptability, and intelligent control. his interdisciplinary approach, blending neural signal processing with mechanical design and embedded control systems, finds resonance in modern power electronics-driven technologies that demand precision and adaptability. as wearable robotics continue to influence sectors like aerospace maintenance, healthcare, and smart manufacturing, liao's work stands to have lasting impact, paving the way for safer, more efficient human-robot collaboration. his future endeavors are expected to drive further innovation at the intersection of robotics, power electronics, and intelligent systems design.

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.