Mr. Narek Mirzoyan | Urban planning | Best Researcher Award

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Mr. Narek Mirzoyan | Urban planning | Best Researcher Award

Karlsruhe Institute of Technology | Germany

Author Profiles

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ORCID

Summary

Narek Mirzoyan’s academic journey reflects a strong interdisciplinary foundation, beginning with labour economics in armenia and expanding into politics, economics and philosophy in germany. his professional endeavors at leading universities, particularly as a research assistant and ph.d. student at karlsruhe institute of technology, highlight his commitment to advancing environmental and economic research. His contributions focus on urban air quality, socio-economic impacts on financial trust, international trade, and greenhouse gas emissions. with peer-reviewed publications and ongoing projects, he has already established himself as an emerging scholar with international academic visibility. the relevance of his research connects to broader technological transitions, including the role of power electronics in sustainable development.

Early academic pursuits

Narek Mirzoyan began his academic journey in labour economics at the armenian state university of economics, where he earned his b.sc. and later completed an m.sc. his pursuit of higher education led him to the university of hamburg, where he studied politics, economics and philosophy, earning another m.sc. this diverse academic background laid a strong interdisciplinary foundation, blending economic analysis, Urban planning, policy frameworks, and philosophical inquiry—critical tools for addressing global challenges that align with the interdisciplinary nature of power electronics and energy transition studies.

Professional endeavors

Mirzoyan’s professional path demonstrates both versatility and dedication to research. After early roles in research assistance at helmut-schmidt university and the University of Hamburg, he advanced to a research assistant and ph.d. student position at the karlsruhe institute of technology. his trajectory reflects an evolution from applied research assistance to independent scholarly inquiry. earlier professional experiences, including service roles in Urban planning, hotel management, also illustrate adaptability and strong interpersonal skills, essential for collaborative academic work.

Contributions and research focus

Mirzoyan’s peer-reviewed contributions address critical issues of environmental economics and public policy. notably, His publication, “diesel bans and urban air quality: a causal study of no2 emissions in germany using synthetic control” highlights his focus on environmental regulation and air quality. his works in progress, including research on russian trade patterns after the war with ukraine, foreign direct investment impacts on greenhouse gas emissions, and the role of socio-economic background in financial trust, illustrate a wide-ranging interest in global economic, Urban planning, social, and environmental challenges. in this interdisciplinary framework, his approaches also intersect with broader technological domains, where transitions like those driven by power electronics play a crucial role in sustainable systems.

Impact and influence

Through rigorous analysis of emissions policies and economic trends, Mirzoyan’s research contributes to evidence-based policymaking. his studies shed light on how regulatory interventions, such as diesel traffic bans, influence environmental outcomes, thereby informing future energy and climate-related policies. additionally, his thesis supervision on topics ranging from maritime transport emissions to environmental treaties underscores his influence in shaping the academic development of upcoming scholars. this mentorship role amplifies Urban planning his long-term academic impact and aligns with broader technological innovation contexts where power electronics and sustainable energy research are transforming industries.

Academic cites

Mirzoyan’s citation potential is rooted in his interdisciplinary research output. His peer-reviewed work on diesel bans is positioned to gain attention in both environmental economics and public policy circles. coupled with his forthcoming contributions, he is on track to establish an academic footprint across international economic, environmental, and policy debates. visits to institutions such as the University of Toronto, the university of massachusetts, and california state universities highlight his growing international presence and recognition.

Legacy and future contributions

Looking forward, Mirzoyan is poised to make significant contributions to the discourse on environmental economics, trade patterns, and institutional trust. His evolving body of research suggests a legacy defined by interdisciplinarity and a commitment to addressing pressing global issues through empirical rigor. by bridging economic analysis with policy applications, he is likely to shape future academic debates and inform policy strategies that address climate change, trade disruptions, and public trust. in doing so, his legacy will continue to resonate in academia and beyond, Urban planning reflecting both his scholarly excellence and the practical relevance of his research.

Publication

Title: Diesel bans and urban air quality: A causal study of NO₂ emissions in Germany using synthetic control
Authors: Narek Mirzoyan, Ingrid Ott, José Ricardo Castro
Journal: Sustainable Futures
Publication Year: 2025

Conclusion

Mirzoyan’s work demonstrates a clear trajectory toward becoming a thought leader in environmental economics and policy. His combination of interdisciplinary education, professional research experience, and mentoring of students positions him as both a scholar and a guide for future generations. the impact of his studies on emissions policies and socio-economic trends ensures practical relevance, while his international collaborations expand his influence. As his body of work grows, Mirzoyan’s legacy is set to contribute significantly to global debates on sustainability, economic policy, and institutional trust, with a forward-looking perspective that resonates across both academic and applied contexts.

Assoc. Prof. Dr. Yujin Liu | Computer Vision and AI | Best Researcher Award

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Assoc. Prof. Dr. Yujin Liu | Computer Vision and AI | Best Researcher Award

Xidian University | China

Author Profiles

SCOPUS

GOOGLE SCHOLAR

Summary

Liu Yujin, is an associate professor and researcher specializing in novel photodetectors and intelligent imaging methods. with academic training from Wuyi university and Jinan university, and professional roles at Xidian university, he has established a strong foundation in optical engineering.

Early academic pursuits

Liu Yujin’s academic journey began at Wuyi university, where he earned a bachelor’s degree in electronic information engineering. building on this foundation, he pursued a master’s degree in condensed matter physics at jinan university, under the guidance of professor zhao chuanxi. his dedication to research Computer Vision and AI and innovation led him to continue at jinan university for his ph.d. in optical engineering, supervised by professor mai wenjie, which he successfully completed.

Professional endeavors

After completing his doctorate, Liu joined the guangzhou research institute of Xidian university as a lecturer. He advanced his career by taking up a postdoctoral fellowship at the school of electronic science and Computer Vision and AI technology, xidian university. his dual roles highlight his growing influence as both a researcher and educator in the field of optical and electronic sciences.

Contributions and research focus

Liu’s research interests lie in novel photodetectors and intelligent imaging methods, areas that bridge optical engineering, materials science, and advanced electronics. his work focuses on developing next-generation photodetection Computer Vision and AI technologies and exploring intelligent imaging approaches with applications in sensing, communication, and machine vision. through his academic efforts, he aims to contribute to innovations that improve detection sensitivity, imaging precision, and device performance.

Impact and influence

As an associate professor and early-career researcher, Liu has already established a promising trajectory in optical engineering and imaging sciences. his contributions to the study of photodetectors and intelligent imaging are poised to Computer Vision and AI influence both theoretical development and practical applications in modern technology, particularly in fields such as smart sensors, biomedical imaging, and artificial intelligence-assisted optical systems.

Academic cites

Liu’s academic output reflects his growing engagement with the Computer Vision and AI scientific community. his publications and postdoctoral research contribute to a body of knowledge that strengthens collaboration across photonics, electronics, and materials science.

Legacy and future contributions

Looking ahead, Liu Yujin is expected to expand his influence in the development of novel photodetectors and intelligent imaging methods. his ongoing postdoctoral research at Xidian university positions him to play a Computer Vision and AI vital role in advancing optical technologies. as he continues his career, his legacy will be defined by fostering innovative solutions that connect fundamental research with real-world applications.

Publications

Title: Atomic‐Layer Deposition‐Assisted Double‐Side Interfacial Engineering for High‐Performance Flexible and Stable CsPbBr3 Perovskite Photodetectors
Authors: G. Cen, Y. Liu, C. Zhao, G. Wang, Y. Fu, G. Yan, Y. Yuan, C. Su, Z. Zhao, W. Mai
Journal: Small
Publication Year: 2019

Title: Visualized UV Photodetectors Based on Prussian Blue/TiO2 for Smart Irradiation Monitoring Application
Authors: M. Qiu, P. Sun, Y. Liu, Q. Huang, C. Zhao, Z. Li, W. Mai
Journal: Advanced Materials Technologies
Publication Year: 2018

Title: Perovskite-based color camera inspired by human visual cells
Authors: Y. Liu, Z. Ji, G. Cen, H. Sun, H. Wang, C. Zhao, Z.L. Wang, W. Mai
Journal: Light: Science & Applications
Publication Year: 2023

Title: Reducing current fluctuation of Cs3Bi2Br9 perovskite photodetectors for diffuse reflection imaging with wide dynamic range
Authors: Z. Ji, Y. Liu, W. Li, C. Zhao, W. Mai
Journal: Science Bulletin
Publication Year: 2020

Title: All-inorganic lead-free NiOx/Cs3Bi2Br9 perovskite heterojunction photodetectors for ultraviolet multispectral imaging
Authors: Y. Liu, Y. Gao, J. Zhi, R. Huang, W. Li, X. Huang, G. Yan, Z. Ji, W. Mai
Journal: Nano Research
Publication Year: 2022

Conclusion

Through his academic excellence, innovative research, and growing professional responsibilities, Liu is emerging as a significant contributor to optical sciences and advanced imaging technologies. His future work promises to strengthen the integration of photonics and intelligent systems for next-generation applications.

Dr. Sumit Kumar Pandey | Control System | Best Researcher Award

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Dr. Sumit Kumar Pandey | Control System | Best Researcher Award

Jharkhand Rai University | India

Author Profiles

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ORCID

Summary

Dr. Sumit Kumar Pandey is an accomplished academic and administrator with over a decade of experience in electrical engineering education. he holds a ph.d. from nit durgapur and an m.e. with distinction from b.i.t. mesra. his career spans key roles such as associate professor, dean academics, vice principal, and head of department. his research and teaching focus on power electronics, renewable energy integration, and applied electrical systems. through scholarly publications, mentorship, and leadership in examination and curriculum processes, he has significantly contributed to advancing engineering education.

Early academic pursuits

Dr. Sumit Kumar Pandey began his academic journey with a strong foundation in electrical and electronics engineering, earning his b.tech from u.p.t.u. lucknow with a commendable performance. he pursued his m.e. in electrical engineering from b.i.t. mesra, ranchi, graduating with distinction. later, he advanced his expertise by earning a ph.d. from nit durgapur, focusing on Control System, electrical engineering, where his interests included power electronics, control systems, and applied electrical technologies. his early education in j.i.e.c. ranchi and j.s.e.b. ranchi provided a robust base in mathematics and science.

Professional endeavors

With over a decade of teaching and administrative experience, Dr. Pandey has served in multiple academic roles. currently, he is associate professor and dean academics in the electrical engineering department Control System at jharkhand rai university, ranchi. earlier, he worked as an assistant professor at the same university and as a lecturer at the institute of engineering & technology, sitapur. his leadership includes roles as vice principal, head of department, and assistant examination controller, reflecting a blend of teaching expertise and institutional governance.

Contributions and research focus

Dr. Pandey’s research interests lie in electrical engineering with a special emphasis on power electronics, renewable energy integration, and advanced electrical systems. he has contributed to academia not only through classroom teaching but also by guiding practical projects, setting examination papers, and evaluating technical coursework. his scholarly work aims to advance efficient electrical conversion and control, Control System positioning power electronics as a key enabler for sustainable energy solutions.

Impact and influence

Through his roles in academia, Dr. Pandey has mentored numerous engineering students, preparing them for industry and research careers. his administrative initiatives have streamlined examination processes, enhanced curriculum standards, and improved departmental operations. his influence extends to shaping future engineers’ understanding of applied electrical engineering, Control System particularly in emerging areas of power electronics and automation.

Academic cites

Dr. Pandey’s academic profile on google scholar reflects his active engagement in publishing and knowledge dissemination. his works contribute to the growing literature in electrical engineering and provide valuable references for students, Control System researchers, and professionals in related fields.

Legacy and future contributions

Dr. Pandey’s legacy lies in his commitment to academic excellence, leadership in engineering education, and dedication to student development. going forward, he is poised to deepen his research footprint, expand collaborations, and explore innovative applications of power electronics in industrial and renewable contexts. his vision includes fostering research-oriented Control System learning environments and contributing to sustainable technology advancements.

Publications

Title: Modified Kharitonov Theorem Based Optimal PID Controller Design for MIMO Systems
Authors: Sumit Kumar Pandey, Jayati Dey, Subrata Banerjee
Journal: Journal of Electrical Engineering & Technology
Publication Date: May 2023

Title: Generalized discrete decoupling and control of MIMO systems
Authors: Sumit Kumar Pandey, Jayati Dey, Subrata Banerjee
Journal: Asian Journal of Control
Publication Date: November 2022

Title: Design of Optimal PID Controller for Control of Twin Rotor MIMO System (TRMS)
Authors: S.K. Pandey, J. Dey, S. Banerjee
Book: Lecture Notes in Electrical Engineering
Publication Date: 2020

Title: Generalized Decoupling and Robust Control of Unstable MIMO System
Authors: S.K. Pandey, J. Dey, S. Banerjee
Book: Lecture Notes in Electrical Engineering
Publication Date: 2020

Title: Decoupling control of TRMS based on a relative gain array (RGA) and Kharitonov theorem
Authors: S.K. Pandey, J. Dey, S. Banerjee
Conference: Emerging Trends in Engineering, Science and Technology for Society, Energy and Environment – Proceedings of the International Conference in Emerging Trends in Engineering, Science and Technology
Publication Date: 2018

Conclusion

With a strong academic foundation, leadership capabilities, and a research focus in power electronics, Dr. Pandey has established himself as a respected figure in electrical engineering. his influence is evident in student success, institutional improvements, and scholarly contributions. looking ahead, his continued work promises to further enhance technological innovation and academic excellence, leaving a lasting legacy in engineering education.

Prof. Shih-Yang Lin | Edge Intelligence | Best Researcher Award

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Prof. Shih-Yang Lin | Edge Intelligence | Best Researcher Award

Weifang University of Science and Technology | China

Author Profile

ORCID

Summary

Shih-Yang Lin is a Taiwan-born academic and researcher with a strong foundation in computer science, information management, and engineering. his career spans academia, research, and industry, with key roles as professor, associate professor, postdoctoral researcher, and deputy manager in technology enterprises. his expertise covers computer networks, iot systems, wireless communications, and intelligent control, with notable intersections in power electronics applications. through his scholarly publications, journal reviewing, and curriculum development, he has influenced both technological innovation and academic growth in his fields of interest.

Early academic pursuits

Shih-Yang Lin began his academic journey in Taiwan, earning his B.s. in information management from Toko university. he advanced his expertise with an m.s. from the department of information management, nanhua university in july 2006. his commitment to deeper technical mastery led him to complete a ph.d. in computer science and information engineering at national cheng kung university in december 2013. during these formative years, Edge Intelligence he developed a foundation in computing systems, networks, and power electronics applications in digital environments.

Professional endeavors

Dr. Lin’s career reflects a balance between academia and industry. after completing his doctoral studies, he served as a postdoctoral researcher at halmstad university in sweden (2014–2015), focusing on advanced computing and communication technologies. he transitioned to the private sector as deputy manager at trans-iot technology company limited in taipei, taiwan (2015–2018), where he worked on integrating iot systems with Edge Intelligence energy-efficient solutions, including those relevant to power electronics. later, he joined shandong university of technology as an associate professor (2018–2023) and is currently a professor at weifang university of science and technology, china, since august 2023.

Contributions and research focus

Dr. Lin has served as a paper reviewer for leading journals and conferences such as ieee access, ieee communications letters, and ad hoc networks. his research interests span computer networks, wireless communications, iot, and intelligent systems, Edge Intelligence with intersections in areas like smart grids and embedded control, where power electronics plays a role in optimizing performance. his work bridges theory and real-world applications, ensuring academic contributions align with technological demands.

Impact and influence

Through his dual role as educator and researcher, Dr. Lin has shaped the academic and professional paths of numerous students. his industrial experience has influenced the development of practical curricula, and his research contributions have been cited by peers, particularly in the domains of Edge Intelligence network optimization and iot-based energy systems. his participation as a reviewer for high-impact journals ensures the integrity and advancement of knowledge in these areas.

Academic cites

Dr. Lin’s scholarly work has gained citations across multiple high-ranking journals, reflecting its relevance to both academia and industry. while his publications cover a range of topics, many highlight the integration of computing intelligence with sustainable infrastructure, Edge Intelligence drawing interest from researchers in emerging markets and advanced technology sectors alike.

Legacy and future contributions

Dr. Lin’s legacy is being built on a foundation of interdisciplinary research, industry collaboration, and mentorship. in the coming years, he is expected to contribute further to the convergence of iot, intelligent control systems, and energy-efficient solutions, Edge Intelligence with particular attention to power electronics innovations that drive smart cities and industrial automation. his ongoing dedication promises to leave a lasting mark on both the academic and engineering communities.

Publications

Title: Multihop cost awareness task migration with networking load balance technology for vehicular edge computing
Authors: Shih-Yang Lin, Jie-Qin Wang, Shi-Ming Peng, Miao-Hui Yang, Shuo Jia
Journal: Scientific Reports
Publication Date: August 1, 2025

Title: An Adaptive Hybrid Automatic Repeat Request (A-HARQ) Scheme Based on Reinforcement Learning
Authors: Shih-Yang Lin, Miao-Hui Yang, Shuo Jia
Journal: Electronics
Publication Date: October 3, 2023

Title: Multi-Access Edge Computing-Based Vehicle-Vehicle-RSU Data Offloading Over the Multi-RSU-Overlapped Environment
Authors: Shih-Yang Lin, Chung-Ming Huang, Tzu-Yu Wu
Journal: IEEE Open Journal of Intelligent Transportation Systems
Publication Date: 2022

Title: The k-hop-limited V2V2I VANET data offloading using the Mobile Edge Computing (MEC) mechanism
Authors: Chung-Ming Huang, Shih-Yang Lin, Zhong-You Wu
Journal: Vehicular Communications
Publication Date: December 2020

Title: A split reliable transport protocol over the vehicular ad hoc network communication environment
Authors: Chung‐Ming Huang, Shih‐Yang Lin, Ching‐Yuan Lin
Journal: Wireless Communications and Mobile Computing
Publication Date: December 25, 2015

Conclusion

Dr. Lin’s journey demonstrates a rare blend of academic rigor and industry insight. his work continues to bridge the gap between theoretical advancements and real-world implementation, particularly in integrating iot, intelligent systems, and power electronics for sustainable and efficient solutions. as he moves forward in his professorial role, his research, mentorship, and collaborations are set to expand his influence, ensuring a lasting contribution to global technological progress.

Prof. Xiaolin Wang | Microbiome | Best Researcher Award

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Prof. Xiaolin Wang | Microbiome | Best Researcher Award

South China Agricultural University | China

Author Profiles

SCOPUS

ORCID

Summary

Professor Wang Xiaolin, a leading researcher at south china agricultural university, specializes in plant microbiome studies and ecological restoration. working within the state key laboratory of conservation and utilization of subtropical agricultural bioresources and the lingnan modern agricultural science and technology guangdong provincial laboratory, he has developed pioneering models for rhizosphere microbial community assembly, uncovered co-evolutionary symbiosis mechanisms, and linked microbial imbalances to major crop diseases. his concept of “agricultural precision microbiome” and leadership in the “thousand plant microbiome project” have set new directions for sustainable agriculture. with publications in nature, cell, annual review of plant biology, and other high-impact journals, his research is globally recognized and widely cited.

Early academic pursuits

Professor Wang Xiaolin began his academic journey with a strong focus on agricultural sciences, laying a foundation in soil biology, microbiome research, and ecological restoration. during his formative research years, he built expertise in plant microbiome systems, combining traditional agricultural studies with modern molecular tools. his early work aligned with the goals of south china agricultural university, Microbiome a national "double first-class" construction university, known for its advanced laboratories and interdisciplinary research approach.

Professional endeavors

Over the years, Professor Wang has been a key figure at the state key laboratory of conservation and utilization of subtropical agricultural bioresources and the lingnan modern agricultural science and technology guangdong provincial laboratory. as the backbone of multiple high-impact projects, he has led initiatives in sample collection, database construction, and policy formulation. Microbiome while his main expertise lies in agricultural microbiome systems, he also draws on interdisciplinary knowledge, intersecting with applied technologies that have parallels in advanced fields like power electronics for data acquisition and precision agriculture control systems.

Contributions and research focus

Professor Wang’s major contributions include: establishing the "amplification-selection" assembly model of plant rhizosphere microbial communities. Revealing co-evolutionary mechanisms of arbuscular mycorrhizal symbiosis and nodule symbiosis at the rhizosphere level. Linking bacterial flora imbalance to geminivirus infections, explaining the soybean “green syndrome” mechanism. Pioneering the "agricultural precision microbiome" concept. Leading the "thousand plant microbiome project" and discovering protozoa and fungi as core players in rhizosphere cross-kingdom networks. His research integrates multi-omics linkage technology and precision analysis, much like Microbiome how power electronics integrates complex signals for efficient system operation.

Impact and influence

Professor Wang’s work has been published in prestigious journals such as nature, cell, annual review of plant biology, molecular plant, science bulletin, nature communications, plant biotechnology journal, soil biology and biochemistry, Microbiome, and abiotech. His findings have significantly advanced the understanding of plant–microbe interactions, influencing both fundamental research and practical applications in sustainable agriculture.

Academic cites

With publications in top-tier journals, his work is frequently cited by peers in plant sciences, microbiology, Microbiome and biotechnology. His citation network reflects a global academic influence, and his research outcomes often serve as a reference point for further exploration in precision agriculture and related technologies.

Legacy and future contributions

Professor Wang’s legacy lies in bridging fundamental plant microbiome research with innovative agricultural practices. moving forward, his work is expected to further enhance sustainable crop production, inform agricultural policies, and inspire interdisciplinary collaborations. given his leadership in microbiome studies Microbiome and his alignment with cutting-edge technological methodologies, his future contributions may also intersect more deeply with advanced monitoring systems, potentially adapting methodologies inspired by power electronics to agricultural bioresource management.

Publications

Title: MHZ3: a key regulator of ethylene signaling in rice
Authors: Arif Ali Khattak, Yingshan Huang, Muhammad Afzal, Xiaolin Wang
Journal: aBIOTECH
Publication Date: December 6, 2024

Title: Decoding the microbiome for sustainable agriculture
Authors: Kai Sun, Wei Zhang, Xiaolin Wang, Chuan-Chao Dai
Journal: aBIOTECH
Publication Date: May 7, 2024

Title: Heterosis of endophytic microbiomes in hybrid rice varieties improves seed germination
Authors: Yuanhui Liu, Kankan Zhao, Erinne Stirling, Xiaolin Wang, Zhenyu Gao, Bin Ma, Chunmei Xu, Song Chen, Guang Chu, Xiufu Zhang et al.
Journal: mSystems
Publication Date: April 9, 2024

Title: Comparative analysis of rhizobial and bacterial communities in experimental cotton fields: Impacts of conventional and conservation soil management in the Texas High Plains
Authors: Amin Jannatul Ferdous, Xiaolin Wang, Katie Lewis, John Zak
Journal: Soil and Tillage Research
Publication Date: February 2024

Title: Dynamic root microbiome sustains soybean productivity under unbalanced fertilization
Authors: Mingxing Wang, An-Hui Ge, Xingzhu Ma, Xiaolin Wang, Qiujin Xie, Like Wang, Xianwei Song, Mengchen Jiang, Weibing Yang, Jeremy D. Murray et al.
Journal: Nature Communications
Publication Date: February 23, 2024

Conclusion

Professor Wang’s career demonstrates a rare blend of deep scientific insight, innovative thinking, and practical impact. his integration of multi-omics technologies with agricultural applications has reshaped how plant–microbe relationships are studied and managed. his ongoing work promises to further influence agricultural sustainability, policy development, and global food security. by linking biological research platforms with advanced analytical frameworks—similar in precision to the systematic control seen in power electronics—he is poised to leave a lasting legacy in both science and applied agricultural technology.

Dr. Essam Debie | Multi tasking Swarm Collective Intelligence | Best Researcher Award

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Dr. Essam Debie | Multi tasking Swarm Collective Intelligence | Best Researcher Award

University of Canberra | Australia

Author Profile

SCOPUS

ORCID

Summary

Dr. Essam Debie is a seasoned academic and researcher with over the years of experience in artificial intelligence, machine learning, and human-computer interaction. with a strong foundation built through his phd in computer science and a robust teaching and research career across egypt and australia, he has established himself as a leader in both scholarly and applied domains. his work spans cloud computing, swarm intelligence, statistical analysis, and data mining, with notable applications in education, government, and defense sectors.

His academic journey reflects a consistent commitment to innovation in teaching and research. he has contributed significantly to interdisciplinary areas, integrating concepts from ai and power electronics to enhance autonomous systems and intelligent frameworks. his impactful work has led to over more research citations, and active collaboration across academia and industry. in every role—from lecturer to senior academic leader—he has demonstrated strong communication, inclusion, mentorship, and curriculum development skills.

Early academic pursuits

Dr. Essam Debie began his academic journey with a bachelor’s degree in computer science from Zagazig university, egypt, in 2003. his graduation project, a hospital management system using oracle developer, showcased his early technical aptitude. he advanced further with a master’s degree from the same institution in 2010, focusing on fuzzy expert systems—demonstrating a growing interest in Multi tasking Swarm Collective Intelligence and intelligent technologies. his academic pinnacle came with a phd in computer science from, where his thesis on evolutionary rule learning addressed high-dimensional classification problems, laying the groundwork for his future research in artificial intelligence and power electronics.

Professional endeavors

Dr. Debie’s career spans academia, research, and government. he began as an assistant professor at zagazig university, where he taught database systems and data mining. transitioning to australia, he held several roles, including lecturer and research fellow, focusing on swarm intelligence and human-autonomy interaction. in his current role as a senior lecturer at the university of canberra, he coordinates units in Multi tasking Swarm Collective Intelligence, cloud and edge computing, supervises student research, and leads outreach activities. prior to his academic roles in australia, he worked as a data scientist at ip australia and as a data analyst for the act government—roles that deepened his experience in applied machine learning and statistical modeling.

Contributions and research focus

Dr. Debie has made significant contributions to artificial intelligence, cloud computing, and human-machine interaction. he has led research teams on topics such as explainable ai, robotic swarming, and adaptive ai frameworks for cognitive load management. his interdisciplinary research integrates concepts from ai, Multi tasking Swarm Collective Intelligence, data science, and power electronics, particularly in the context of autonomous systems and robotics. he also contributed to work-integrated learning initiatives, connecting academia with real-world industry problems.

Impact and influence

Dr. Debie’s work has attracted more citations, reflecting the global relevance of his contributions. Particularly his advocacy for ai training programs tailored to military applications. through excellent student feedback and mentorship, he’s significantly influenced the Multi tasking Swarm Collective Intelligence next generation of computer scientists. he maintains strong affiliations with ieee and the australian computer society, further expanding his professional reach and scholarly influence.

Academic cites

His published work in reputable journals and conference proceedings spans key areas like machine learning, swarm intelligence, and statistical analysis. widely cited for contributions in artificial intelligence, Multi tasking Swarm Collective Intelligence and cloud systems, Dr. Debie’s academic citations reveal his authority in both theoretical and applied domains. notably, his work connects technical depth with practical relevance—blending computer science with domains such as human-computer interaction and power electronics.

Legacy and future contributions

Dr. Debie continues to shape the future of computer science education through curriculum innovation, inclusive teaching practices, and high-impact research. his vision includes fostering global collaborations, enhancing explainability in ai, Multi tasking Swarm Collective Intelligence and exploring advanced techniques in human autonomy interaction. he is poised to further integrate ai with disciplines like power electronics to optimize intelligent infrastructure, autonomous robotics, and cognitive-aware systems. his commitment to academic excellence and industry relevance sets the stage for a lasting legacy in both research and education.

Publications

Title: Generating Collective Motion Behaviour Libraries Using Developmental Evolution
Authors: Md Khan; Kathryn Kasmarik; Michael Barlow; Shadi Abpeikar; Huanneng Qiu; Essam Debie; Matt Garratt
Journal: Book Chapter
Publication Date: 2024

Title: Swarm Robotics: A Survey from a Multi-Tasking Perspective
Authors: Essam Debie; Kathryn Kasmarik; Matt Garratt
Journal: ACM Computing Surveys
Publication Date: February 29, 2024

Title: Session Invariant EEG Signatures using Elicitation Protocol Fusion and Convolutional Neural Network
Authors: Essam Debie; Nour Moustafa; Athanasios Vasilakos
Journal: IEEE Transactions on Dependable and Secure Computing
Publication Date: July 1, 2022

Title: Autonomous Recommender System for Reconnaissance Tasks Using a Swarm of UAVs and Asynchronous Shepherding
Authors: Essam Debie; Heba El-Fiqi; Justin Fidock; Michael Barlow; Kathryn Kasmarik; Sreenatha Anavatti; Matthew Garratt; Hussein Abbass
Journal: Human-Intelligent Systems Integration
Publication Date: June 29, 2021

Title: Multimodal Fusion for Objective Assessment of Cognitive Workload: A Review
Authors: Essam Debie; Raul Fernandez Rojas; Justin Fidock; Michael Barlow; Kathryn Kasmarik; Sreenatha Anavatti; Matt Garratt; Hussein A. Abbass
Journal: IEEE Transactions on Cybernetics
Publication Date: March 2021

Conclusion

Dr. Debie’s career stands as a testament to the power of interdisciplinary expertise, scholarly rigor, and inclusive education. through a combination of technical excellence, leadership, and a deep commitment to student success, he has shaped meaningful advancements in artificial intelligence, swarm robotics, and cognitive-aware systems. his integration of power electronics into ai-enabled platforms for human-autonomy interaction reflects his future-focused approach to research and teaching. as he continues to mentor, collaborate, and innovate, dr. debie is well-positioned to contribute lasting value to academic institutions and the broader technology community.

Mr. Gajraj Singh | 3D Vision and Sensing | Best Researcher Award

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Mr. Gajraj Singh | 3D Vision and Sensing | Best Researcher Award

IILM University Greater Noida UP | India

Author Profile

SCOPUS

ORCID

Summary

Mr. Gajraj Singh is an experienced academic and researcher with a strong background in Artificial Intelligence, Machine Learning, and Electronics Engineering. With qualifications from premier institutions like NIT Kurukshetra and SVNIT Surat, he has dedicated over a decade to teaching and guiding students. His research spans deep learning applications in medical imaging, underwater image processing,  and AI-enabled diagnostics, often intersecting with power electronics. He has published in reputed SCOPUS-indexed journals and IEEE conferences and has earned professional certifications in AI/ML. Currently, he serves as an Assistant Professor at IILM University, Greater Noida, where he continues to contribute to interdisciplinary research and student mentorship.

Early academic pursuits

Mr. Gajraj Singh began his academic journey with a Bachelor of Technology (B.Tech.) from BBDIT Ghaziabad, laying a strong foundation in engineering principles. His interest in advanced electronics led him to pursue a Master of Technology (M.Tech.) from the prestigious National Institute of Technology (NIT) Kurukshetra. Currently, he is enrolled in a Ph.D. program in Electronics Engineering at Sardar Vallabhbhai National Institute of Technology (SVNIT), Surat. His doctoral research focuses on deep learning-based heart function assessment using echocardiography, 3D Vision and Sensing a domain bridging healthcare and electronics engineering, with supporting applications in power electronics diagnostics.

Professional endeavors

With over a decade of academic and teaching experience, Mr. Singh has established himself as a committed educator and mentor. From 2014 to July 2025, he served as an Assistant Professor at RAIT, D. Y. Patil Group, Navi Mumbai, where he contributed to curriculum development and student projects in AI and 3D Vision and Sensing embedded systems. He now holds the position of Assistant Professor in the School of Computer Science and Engineering at IILM University, Greater Noida. His teaching experience includes hands-on guidance in areas like deep learning, power electronics, and real-time systems.

Contributions and research focus

Mr. Singh's research trajectory is rooted in practical applications of Artificial Intelligence (AI) and Machine Learning (ML). He has made notable contributions to medical imaging, particularly using deep learning for 3D Vision and Sensing cardiac diagnostics via echocardiographic data. His work also spans underwater image enhancement—an area relevant for autonomous systems and robotics. He has published in SCOPUS-indexed journals and IEEE conferences, and integrates knowledge of power electronics in developing AI-driven solutions for biomedical and environmental challenges.

Impact and influence

As a certified AI/ML practitioner with training from COURSERA and NPTEL, Mr. Singh has influenced many budding engineers and researchers through his innovative teaching style and project mentoring. His interdisciplinary approach—bridging electronics, healthcare, 3D Vision and Sensing and AI—has encouraged students to explore solutions that impact both industry and society. His leadership in guiding academic projects has led to student participation in national and international innovation platforms.

Academic cites

Mr. Singh’s publications in SCOPUS and IEEE have garnered academic attention in the domains of medical imaging and AI-based diagnostics. His citation count is gradually increasing as his work on deep learning-based echocardiography and 3D Vision and Sensing underwater image processing gains recognition within the scientific community.

Legacy and future contributions

Mr. Gajraj Singh envisions building a strong AI research culture at IILM University. He aims to develop AI-driven platforms for predictive healthcare, leveraging real-time imaging and intelligent automation. His long-term goal includes establishing a research lab focused on power electronics, medical signal processing, and AI for social good. By continuing collaborations and mentoring research scholars, 3D Vision and Sensing he plans to leave a lasting legacy in both academia and applied technology.

Publications

Title: Preprocessing and Frame Level Classification Framework for Cardiac Phase Detection in 2D Echocardiography
Authors: Singh, G.; Darji, A.D.; Sarvaiya, J.N.; Patnaik, S.
Journal: Biomedical Signal Processing and Control
Publication Date: 2025

Title: EchoPhaseFormer: A Transformer Based Echo Phase Detection and Analysis in 2D Echocardiography
Authors: Singh, G.; Darji, A.D.; Sarvaiya, J.N.; Patnaik, S.
Journal: SN Computer Science
Publication Date: 2024

Title: Preprocessing and Frame Level Classification Framework for Cardiac Phase Detection in 2D Echocardiography
Authors: Singh, G.; Darji, A.D.; Sarvaiya, J.N.; Patnaik, S.
Journal: Research Square
Publication Date: 2023

Title: Underwater Image/Video Enhancement Using Wavelet Based Color Correction (WBCC) Method
Authors: Singh, G.; Jaggi, N.; Vasamsetti, S.; Sardana, H.K.; Kumar, S.; Mittal, N.
Journal: 2015 IEEE Underwater Technology (UT)
Publication Date: 2015

Conclusion

Mr. Gajraj Singh stands as a progressive educator and researcher with a forward-looking vision. His integrated expertise in AI, deep learning, and power electronics positions him to make lasting contributions in smart healthcare and intelligent systems. Through academic excellence, impactful research, and consistent mentorship, he is shaping the next generation of innovators in engineering and technology.

Mrs. Laura Aschbacher | Artificial Intelligence | Best Researcher Award

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Mrs. Laura Aschbacher | Artificial Intelligence | Best Researcher Award

EuroSPI | Austria

Author Profile

SCOPUS

Summary

Laura Aschbacher is an innovation expert and design director with a strong academic background in digital transformation, communication, and information design. she leads strategic initiatives at eurospi, including managing the eurospi academy and conference. her work spans iso 56000-based innovation assessments, eu-funded projects like tims and trireme, and the application of generative ai in the automotive sector. laura’s interdisciplinary approach supports the digital transformation of industries such as automotive, healthcare, and power electronics through creative, strategic, and technical collaboration.

Early academic pursuits

Laura aschbacher began her academic journey with a bachelor’s degree in information design from the university of applied sciences joanneum in graz, austria. she further deepened her expertise by earning a master’s degree in communication, media, sound, and interaction design. committed to leading in the digital age, she pursued an mba in leadership in digital transformation from tu graz. her interdisciplinary education provided a solid foundation for bridging design, Artificial Intelligence, technology, and strategic innovation—key elements even in technical domains like power electronics.

Professional endeavors

Laura has held the position of manager and innovation expert at eurospi gesmbh, where she plays a central role in strategic leadership and digital transformation initiatives. her responsibilities span managing the eurospi academy, shaping certification programs, and directing the annual eurospi conference. additionally, she has been instrumental in shaping the visual and structural identity of eurospi’s services, Artificial Intelligence enabling impactful collaboration across academia and industry sectors including those exploring innovations in power electronics.

Contributions and research focus

Laura’s research and consultancy efforts are centered the iso innovation standards. she conducted innovation assessments for key industry players such as rheinmetall ag, coloplast ag, and eviden/atos. as a researcher in the eu project tims, she contributed to the development of a digital innovation assessment platform and iso-aligned training modules. her involvement in the blueprint automotive projects flamenco and trireme includes designing a mooc for ai-driven strategic intelligence management—an area increasingly connected to smart manufacturing and power electronics systems.

Impact and influence

Through her multidisciplinary skillset, Laura has impacted both industrial practice and academic knowledge transfer. her work within the soqrates group, involving tier 1 automotive suppliers, focuses on integrating generative ai into data-driven analysis methods. by aligning creative and Artificial Intelligence strategic thinking with technical rigor, she supports the sustainable digital transformation of industries ranging from automotive to advanced electronics, setting a precedent for innovation-centric ecosystems.

Academic cites

Laura’s contributions have been reflected in eu research projects, industry case studies, and digital training platforms. her role in the tims and trireme projects suggests she is cited in project reports, conference proceedings, Artificial Intelligence and collaborative academic outputs. while specific citation metrics were not provided, her participation in high-impact initiatives underlines her academic credibility and applied research value.

Legacy and future contributions

Looking ahead, Laura Aschbacher is well-positioned to continue driving innovation at the intersection of design, strategy, and emerging technologies. her experience in generative ai and digital transformation—applied across sectors including power electronics—suggests that she will remain influential in developing smart industry standards, educational platforms, and innovation frameworks. her legacy will likely be marked by her role in advancing holistic, Artificial Intelligence, human-centered approaches to complex technological challenges.

Publication

Title: The Innovation Agent Task Force in the Automotive Skills Alliance (ASA) and Innovation Assessment Best Practices

Conclusion

With a unique blend of academic insight and practical leadership, Laura Aschbacher is contributing significantly to European innovation and education ecosystems. her focus on design-driven innovation, supported by cutting-edge tools like ai and iso-aligned frameworks, positions her as a key influencer in shaping sustainable digital transformation. as emerging technologies like power electronics evolve, her work is set to remain impactful across both industry and academia.

Dr. Mustafa Bugday | Nanotechnology | Best Researcher Award

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Dr. Mustafa Bugday | Nanotechnology | Best Researcher Award

Karabuk University | Turkey

Author Profile

SCOPUS

ORCID

Summary

Mustafa Buğday is a dedicated academic specializing in mechanical and mechatronics engineering, with advanced degrees from necmettin erbakan university. his professional career began at karabük university in 2020, where he currently serves as a dr. öğretim üyesi. his research focuses on finite element analysis and pneumatic systems, with a growing interest in power electronics. he has contributed to several international publications and integrates practical engineering tools such as ansys, solidworks, and solidcam in both teaching and research. in addition to his academic work, he actively participates in social and extracurricular activities, reflecting his well-rounded professional character.

Early academic pursuits

Mustafa Buğday embarked on his academic journey in mechanical engineering, earning his bachelor's degree from kto karatay university between 2011 and 2016 with a gpa of 2.91/4. simultaneously, he pursued a second bachelor's degree in business administration from anadolu university. his passion for applied engineering and academic excellence led him to necmettin erbakan university, where he completed his master's (2016–2018) and doctoral studies (2018–2024) in mechanical engineering. during this period, he developed strong foundations in computational mechanics and pneumatic systems, nanotechnology alongside publishing several works in international platforms. his academic training also included the study of cae tools like ansys workbench, which laid the groundwork for his later research focus.

Professional endeavors

In 2020, Mustafa Buğday joined Karabük university’s eskipazar vocational school, beginning as a lecturer in the department of motor vehicles and transportation technologies. with consistent performance and scholarly output, he advanced to the position of dr. öğretim üyesi in 2025. at the faculty of mechatronics engineering, he has been actively teaching courses related to finite element methods, pneumatic systems, and foundational engineering design, nanotechnology contributing to the development of interdisciplinary curricula that touch upon modern topics such as power electronics and automation.

Contributions and research focus

Dr. Buğday’s research centers on the applications of the finite element method (fem) in mechanical systems and the integration of pneumatic control systems in transportation technologies. by incorporating simulation tools like solidworks, autocad, and solidcam, he explores real-world engineering challenges in vehicle mechanics and mechanical behavior prediction. he has also shown a growing interest in power electronics within mechatronics, nanotechnology, aligning his academic pursuits with current industrial trends such as electric mobility and smart actuator systems.

Impact and influence

Beyond his teaching and research responsibilities, Mustafa Buğday plays an active role in student development through extracurricular activities. he leads a scout troop and regularly participates in university-organized events like volleyball and nature walks, emphasizing a balance between technical education and personal growth. his involvement reflects a commitment to nurturing both the academic and nanotechnology social dimensions of university life, fostering a collaborative and dynamic learning environment. his interdisciplinary approach—combining mechanical engineering with elements of power electronics and pneumatics—has also influenced new course content and student research projects in his faculty.

Academic cites

Dr. Buğday has made multiple international publications during his graduate and doctoral studies, contributing to the growing body of literature in mechanical engineering applications. his work has been cited in studies focusing on pneumatic control, finite element simulations, and vehicular system optimizations. while his citation count is still emerging, his rigorous academic output indicates a nanotechnology strong potential for future scholarly recognition, especially in mechatronics and power electronics-related systems design.

Legacy and future contributions

With his comprehensive background in machine design, pneumatics, and applied simulations, Mustafa Buğday is poised to continue advancing in both academic and industrial contexts. his future contributions are likely to involve collaborative projects in electric vehicle systems, mechatronics education, and research involving sustainable transportation technologies. as a committed educator and researcher, he aims to leave a legacy of innovation-driven teaching, nanotechnology student mentorship, and impactful research that bridges academia and engineering practice.

Publications

Title: Effect of the honeycomb structure on the thermo mechanical buckling of sandwich nanoplates exposed to magnetic and thermal fields
Authors: Mustafa Buğday, Ali Kafalı, İsmail Esen
Journal: Mechanics of Advanced Materials and Structures
Publication Date: July 21, 2025

Title: Investigation of 3D Wave Propagation in Foam‐Core Functionally Graded Material Magneto‐Piezoelectric Smart Nanoplates
Authors: Mustafa Buğday, İsmail Esen
Journal: Advanced Engineering Materials
Publication Date: July 15, 2025

Title: The effect of the hexachiral auxetic core on the thermomechanical vibration buckling analysis of smart sandwich nanoplates
Authors: Mustafa Buğday, İsmail Esen
Journal: ZAMM – Journal of Applied Mathematics and Mechanics
Publication Date: June 2025

Title: Investigation of Thermomechanical Buckling Characteristics of Auxetic Core Layered Smart Sandwich Plates
Authors: Mustafa Buğday
Journal: International Journal of Pure and Applied Sciences
Publication Date: June 30, 2025

Title: Three-dimensional wave propagation in curved sandwich nanoplates with FGM foam core under thermal and magnetic fields
Authors: Mustafa Buğday, İsmail Esen
Journal: Mechanics Based Design of Structures and Machines
Publication Date: June 30, 2025

Conclusion

Mustafa Buğday represents a new generation of interdisciplinary engineers, blending mechanical principles with emerging technologies like power electronics. his academic achievements, practical expertise, and commitment to student engagement position him as a valuable contributor to both education and research. with a clear trajectory in simulation-based design and transportation technologies, his future work is expected to influence advancements in sustainable engineering and mechatronic systems.

Dr. Alicia Bertone – Proteomics – Best Researcher Award

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Dr. Alicia Bertone | Proteomics | Best Researcher Award

The Ohio State University | United States

Author Profile

SCOPUS

Summary

Dr. Alicia L. Bertone is a distinguished biomedical scientist and veterinarian whose academic journey began at cornell university, where she earned both her bachelor of science and doctor of veterinary medicine degrees with top honors. she furthered her education with a master’s and ph.d. in biomedical sciences from colorado state university, again graduating with distinction. her career has included prestigious fellowships and visiting positions at leading institutions such as harvard and the genetics institute. her research spans pathology, bacteriology, gene expression, and molecular orthopedics, with an increasing relevance to modern domains like power electronics in biomedical applications. her numerous academic awards, fellowships, and scholarly impact reflect her role as a leader in translational science and education.

Early academic pursuits

Alicia L. Bertone began her distinguished academic journey at cornell university, earning her bachelor of science degree in 1977 with honors and distinction. this early academic foundation set the tone for a career marked by academic excellence and intellectual rigor. her pursuit of veterinary medicine at cornell culminated in 1982, where she graduated salutatorian with distinction—a clear marker of her dedication and brilliance. notable accolades during this time included the anna olafson sussex pathology award, the horace k. white prize for highest academic record, proteomics and the frank bloom award for pathology excellence. this formative period established a strong base for her future scientific contributions and innovation, later even influencing niche domains like power electronics in biomedical device applications.

Professional endeavors

Dr. Bertone continued her academic development with an m.s. in biomedical sciences from colorado state university, followed by a ph.d. in the same field by 1987—both completed with distinction. her professional journey expanded through a prestigious nih senior fellowship at harvard’s center for molecular orthopedics in 2000, followed by a visiting scholar position at the genetics institute in cambridge, ma. these positions gave her access to leading-edge research environments and proteomics allowed her to interact with pioneers in molecular biology, genetics, and regenerative medicine. her ability to operate across interdisciplinary domains positioned her to contribute toward advanced scientific initiatives, including biomedical system design, intersecting with power electronics in next-generation therapeutic technologies.

Contributions and research focus

Throughout her academic and professional tenure, Dr. Bertone has focused heavily on biomedical sciences, pathology, bacteriology, and molecular orthopedics. her research has addressed critical challenges in tissue regeneration, gene expression, and the molecular basis of orthopedic disorders. she has shown a consistent interest in bridging traditional veterinary science with translational medical research, proteomics leading to innovations in diagnostic and therapeutic methods. her time at the genetics institute was particularly pivotal in shaping her gene therapy and bone biology contributions, areas where power electronics may now play a vital role in emerging biotechnological systems for drug delivery and real-time monitoring.

Impact and influence

Dr. Bertone’s influence spans both academic and applied medical sciences. her high academic standing, early honors, and multiple prestigious fellowships highlight her role as a leader in her field. her work has inspired a new generation of researchers, particularly in how veterinary knowledge can contribute to broader biomedical innovations. her experience in high-caliber institutions like harvard and the genetics institute demonstrates the trust and recognition she has earned in elite scientific circles. she continues to influence fields where interdisciplinary convergence, including power electronics, proteomics becomes increasingly essential in advancing healthcare technology.

Academic cites

Although not listed here in detail, Dr. Bertone’s academic work, especially in biomedical sciences and pathology, is likely to have substantial citation metrics, particularly in research involving molecular orthopedics, gene therapy, and veterinary medical applications. her role in prestigious fellowships and her contributions to pathology and bacteriology have likely been referenced in numerous clinical and academic papers, proteomics reflecting the lasting value of her scientific insights.

Legacy and future contributions

Dr. Alicia L. Bertone’s legacy is defined by excellence in education, groundbreaking research, proteomics and an unwavering commitment to scientific advancement. her multidisciplinary expertise ensures that her future contributions will remain relevant, especially as biomedical research increasingly integrates advanced electronics, data science, and power electronics into therapeutic and diagnostic innovation. she is positioned to continue shaping future academic programs, mentoring scientists, and fostering research that bridges veterinary science and human medicine.

Publications

Title: Effects of intravenous magnesium sulfate on serum calcium-regulating hormones and plasma and urinary electrolytes in healthy horses
Journal: PLOS ONE
Year: 2021

Title: Pharmacokinetics of magnesium and its effects on clinical variables following experimentally induced hypermagnesemia
Journal: Journal of Veterinary Pharmacology and Therapeutics
Year: 2020

Title: Radio-Telemetric Assessment of Cardiac Variables and Locomotion With Experimentally Induced Hypermagnesemia in Horses Using Chronically Implanted Catheters
Journal: Frontiers in Veterinary Science
Year: 2019

Title: The use of equine chondrogenic-induced mesenchymal stem cells as a treatment for osteoarthritis: A randomised, double-blinded, placebo-controlled proof-of-concept study
Journal: Equine Veterinary Journal
Year: 2019

Title: The Concentration of Plasma Provides Additional Bioactive Proteins in Platelet and Autologous Protein Solutions

Conclusion

Dr. Bertone’s career stands as a testament to excellence in interdisciplinary biomedical research. her pioneering work connects veterinary medicine with human health solutions, opening pathways for innovation in regenerative medicine and bioengineering. as technology continues to evolve—especially with the growing role of power electronics in healthcare systems—her influence will remain critical in shaping future innovations, training, and translational science. her legacy is defined not just by past achievements but by her ongoing potential to lead transformative research that bridges science and real-world medical solutions