Dr. Amir Eisapour Moarref – Electrical Engineering – Best Researcher Award

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Dr. Amir Eisapour Moarref - Electrical Engineering - Best Researcher Award

Iran University of Science and Technology - Iran 

Author Profile 

GOOGLE SCHOLAR 

🎓 Early academic pursuits

Amir Eisapour Moarref embarked on his academic journey in electrical engineering with a strong foundation laid during his bachelor's degree at shahid chamran university, iran, where he graduated with honors in 2013, securing the third rank. his passion for power systems motivated him to pursue a master's degree at shahid beheshti university, where he specialized in voltage and frequency regulation in ac microgrids. completing his m.sc. with top honors in 2015, ranking first in his class, amir continued to expand his expertise by undertaking a ph.d. in electrical engineering-power at the iran university of science and technology. his doctoral research, completed in 2021, focused on power control in hybrid ac/dc microgrids, particularly through the utilization of bidirectional interlinking converters, reflecting his deep interest in modern and sustainable energy systems.

🏛️ Professional endeavors

Amir's professional path is marked by his commitment to both research and education. from 2018 to 2023, he served as a research assistant at the iran university of science and technology, where he mentored graduate students and contributed to various scientific publications. his involvement extended beyond his own research as he provided valuable guidance in the preparation of scholarly papers. complementing his research, amir has also shown dedication to teaching, acting as a teaching assistant in both undergraduate and graduate-level courses. his teaching portfolio includes subjects such as renewable energy systems, electrical power system dynamics, linear control systems, and power electronics, which have strengthened his practical and theoretical expertise in electrical power systems.

⚡ Contributions and research focus

Amir Eisapour Moarref has made notable contributions to the advancement of hybrid microgrid systems, focusing on power sharing, control strategies, and system optimization. his work Electrical Engineering addresses critical challenges in voltage and frequency regulation, fault resilience, and the efficient integration of electric vehicles into microgrid networks. amir’s research is distinguished by innovative approaches to harmonics-based multidimensional droop control, as well as the development of optimization algorithms such as hybrid big bang-big crunch and symbiotic organisms search methods. these contributions provide vital solutions for the stability and sustainability of modern microgrids, establishing his expertise in smart power systems and renewable energy integration.

🏆 Accolades and recognition

Amir’s academic excellence has been consistently acknowledged through prestigious honors at every stage of his education. he graduated with honors and achieved top ranks in his bachelor's, master's, and doctoral studies, demonstrating his unwavering commitment to scholarly success. his ph.d. graduation in 2021 with the second rank further emphasizes his dedication and high- Electrical Engineering level understanding of electrical power systems. his active participation in international conferences and publications in reputable journals has also earned him recognition within the global research community.

🌍 Impact and influence

Through his innovative research on hybrid microgrids and renewable energy management, amir eisapour moarref has contributed to the ongoing development of smart grid technologies that address global energy challenges. his findings on power control, fault management, and optimization strategies are highly relevant to the future of energy systems seeking resilience and Electrical Engineering efficiency. by mentoring students and serving as a voluntary reviewer for academic journals, amir has fostered knowledge dissemination and encouraged excellence in the next generation of electrical engineers.

🔬 Legacy and future contributions

Amir aims to continue his impactful work in the field of electrical power systems by focusing on advanced control strategies for hybrid microgrids, sustainable energy solutions, and the integration of electric vehicles. he envisions contributing to global energy transitions by developing robust, scalable technologies that support renewable energy penetration and enhance grid reliability. with his rich academic and research background, amir is well-positioned to lead projects that shape the future of smart and autonomous power networks worldwide.

Notable Publications 

  1. Title: Voltage and frequency regulation in autonomous microgrids using Hybrid Big Bang-Big Crunch algorithm
    Author(s): M. Sedighizadeh, M. Esmaili, A. Eisapour-Moarref
    Journal: Applied Soft Computing, 2017

  2. Title: Power sharing in hybrid microgrids using a harmonic-based multidimensional droop
    Author(s): A. Eisapour-Moarref, M. Kalantar, M. Esmaili
    Journal: IEEE Transactions on Industrial Informatics, 2019

  3. Title: The imperialist competitive algorithm for optimal multi-objective location and sizing of DSTATCOM in distribution systems considering loads uncertainty
    Author(s): M. Sedighizadeh, A. Eisapour-Moarref
    Journal: INAE Letters, 2017

  4. Title: Multi-objective voltage and frequency regulation in autonomous microgrids using Pareto-based Big Bang-Big Crunch algorithm
    Author(s): A.E. Moarref, M. Sedighizadeh, M. Esmaili
    Journal: Control Engineering Practice, 2016

  5. Title: Control strategy resilient to unbalanced faults for interlinking converters in hybrid microgrids
    Author(s): A. Eisapour-Moarref, M. Kalantar, M. Esmaili
    Journal: International Journal of Electrical Power & Energy Systems, 2020

Dr. Bruce a. wade – Computational Mathematics – Best Researcher Award

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Dr. Bruce a. wade - Computational Mathematics - Best Researcher Award

University of Louisiana at Lafayette - United States

Author Profile 

SCOPUS 

Early academic pursuits 🎓

Bruce a. wade's journey in mathematics began with an unwavering passion for numerical analysis and computational mathematics. he pursued his bachelor’s degree in mathematics from the university of wisconsin-madison in 1982, followed by a master’s degree in mathematics in 1984. eager to delve deeper into the complexities of mathematical modeling and optimization, he completed his ph.d. in mathematics in 1987 under the guidance of professor j.c. strikwerda. during his doctoral research, he explored numerical methods for solving partial differential equations, setting the foundation for his future contributions to computational mathematics.

Professional endeavors 💼

Bruce wade has had a distinguished academic career, holding key positions at several esteemed institutions. he began his professional journey as a post-doctoral fellow at cornell university’s mathematical sciences institute, where he worked under the mentorship of l.b. wahlbin. he later joined the university of wisconsin–milwaukee, progressing from assistant professor to full professor, and ultimately serving as chair of the department of mathematical sciences. in 2018, he transitioned to the university of louisiana at lafayette, where he currently serves as professor and head of the department of mathematics. his leadership roles have significantly shaped academic programs, research initiatives, and technological advancements within these institutions.

Contributions and research focus 🔬

Bruce wade's research is deeply rooted in numerical analysis and computational mathematics, particularly in the areas of partial differential equations, optimization, data science, and machine learning. he has developed advanced numerical techniques for solving complex mathematical models, contributing to various fields such as industrial mathematics and stochastic processes. Computational Mathematics his interdisciplinary approach has led to significant advancements in modeling real-world phenomena, including pigment and filler settling in coatings and nonlinear control systems for the paper industry. his research also extends to numerical solutions of reaction-diffusion equations and adaptive techniques for satellite orbit calculations.

Accolades and recognition 🏆

Bruce wade’s contributions to mathematics have been widely recognized, earning him prestigious positions and honors. he was appointed as the c.b.i.t. tc/leqsf regents professor at the Computational Mathematics university of louisiana at lafayette in 2019. in addition, he has served as a professor emeritus at the university of wisconsin-milwaukee since 2018. his extensive list of grants from esteemed institutions, including the national science foundation (nsf) and the national security agency (nsa), showcases the significance of his research in applied mathematics and computational techniques.

Impact and influence 🌎

The impact of bruce wade's work extends beyond academia, influencing industries and governmental research initiatives. as the founder and director of the center for industrial mathematics at the university of wisconsin-milwaukee, he played a pivotal role in bridging the gap between theoretical mathematics and practical industrial applications. his collaborative projects with Computational Mathematics companies like rust-oleum corporation and rockwell automation have led to innovative solutions in material science and control systems. his research has not only enhanced scientific understanding but has also contributed to technological advancements with real-world implications.

Legacy and future contributions 🎨

Bruce wade’s legacy is defined by his unwavering commitment to advancing computational mathematics and fostering future generations of mathematicians. his mentorship and leadership have inspired countless students and researchers to pursue careers in numerical analysis and data science. as he continues his academic and research journey, his future contributions promise to further expand the applications of numerical modeling in various scientific domains. his dedication to exploring new mathematical frontiers ensures that his influence in the field of computational mathematics will endure for years to come.

Notable Publications 

  • Title: A fourth-order exponential time differencing scheme with dimensional splitting for non-linear reaction–diffusion systems
    Author(s): Emmanuel O. Asante-Asamani, Andreas Kleefeld, Bruce Alan Wade
    Journal: Journal of Computational and Applied Mathematics, 2025

  • Title: Global-Padé Approximation of the Three-Parameter Mittag-Leffler Function: Generalized Derivation and Numerical Implementation Issues
    Author(s): Yusuf O. Afolabi, Toheeb A. Biala, Ibrahim O. Sarumi, Bruce Alan Wade
    Journal: Communications on Applied Mathematics and Computation, 2025

  • Title: Two new generators of Archimedean copulas with their properties
    Author(s): Agnideep Aich, Ashit Baran Aich, Bruce Alan Wade
    Journal: Communications in Statistics - Theory and Methods, 2025

  • Title: Exploring a Mathematical Model with Saturated Treatment for the Co-Dynamics of Tuberculosis and Diabetes
    Author(s): Saburi Rasheed, Olaniyi S. Iyiola, S. I. Oke, Bruce Alan Wade
    Journal: Mathematics, 2024

Dr. Yinqiang Su – Image Processing – Best Researcher Award 

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Dr. Yinqiang Su - Image Processing - Best Researcher Award 

Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences - China 

Author Profile 

ORCID

🎓 Early academic pursuits

Yinqiang Su embarked on his academic journey with a strong foundation in mechanical design, manufacturing, and automation, earning his bachelor of engineering degree from lanzhou jiao tong university in 2018. driven by a passion for technological innovation, he pursued a master's degree in mechatronics engineering at the university of chinese academy of sciences, laying the groundwork for his future research endeavors. his thirst for knowledge led him to complete a doctorate in mechatronics engineering at the changchun institute of optics, fine mechanics, and physics, further cementing his expertise in advanced engineering and computer vision.

🛠️ Professional endeavors

Currently serving as an assistant researcher at the xi'an institute of optics and precision mechanics, chinese academy of sciences, yinqiang su has dedicated himself to advancing the field of computer vision and image processing. his professional trajectory includes leading innovative projects and contributing significantly to target tracking technologies. his roles have consistently showcased his ability to merge theoretical concepts with practical applications, driving impactful research and fostering advancements in his domain.

🔍 Contributions and research focus

Yinqiang’s research centers on the development of cutting-edge visual object tracking techniques, particularly through correlation filters and siamese networks. his innovative methods effectively address challenges in target tracking under complex and jamming-prone conditions. by integrating artificial intelligence, background perception, and machine learning, he has Image Processing introduced transformative solutions to this domain. he has successfully published papers in esteemed journals like remote sensing and expert systems with applications, and has led two pivotal projects that bridged the gap between research and real-world applications.

🏆 Accolades and recognition

Yinqiang Su’s work has been recognized through the publication of four patents, showcasing his ingenuity in addressing technical challenges. his academic papers have been indexed by sci, highlighting their impact within the scientific community. these achievements underscore his contributions to advancing the understanding and application of image processing and target Image Processing tracking technologies.

🌍 Impact and influence

Through his innovative research, yinqiang has significantly advanced the field of computer vision. his work has provided practical solutions for complex scenarios, influencing both academic Image Processing and industrial applications. his pioneering efforts in visual object tracking have set new benchmarks, inspiring peers and contributing to the evolution of this rapidly growing field.

🚀 Legacy and future contributions

Yinqiang’s journey is a testament to his commitment to innovation and excellence. as he continues to explore the frontiers of artificial intelligence and image processing, he is poised to leave a lasting legacy in the field of computer vision. his future endeavors are expected to further enhance the practical applications of his research, bridging the gap between academic innovation and real-world solutions.

Notable Publications 

  • Title: A Context Constraint and Sparse Learning Based on Correlation Filter for High-Confidence Coarse-to-Fine Visual Tracking
    Author(s): Yinqiang Su, Fang Xu, Zhongshi Wang, Mingchao Sun, Hui Zhao
    Journal: Expert Systems with Applications
  • Title: A Low-Rank Context-Aware Correlation Filter for Visual Tracking
    Author(s): Yinqiang Su, Wang Xuan, Wang Chun, Li Chong, Xu Fang
    Journal: Computer Science
  • Title: A Novel Anti-Drift Visual Object Tracking Algorithm Based on Sparse Response and Adaptive Spatial-Temporal Context-Aware
    Author(s): Yinqiang Su, Jinghong Liu, Fang Xu, Xueming Zhang, Yujia Zuo
    Journal: Remote Sensing

Assoc Prof Dr. Cornel Ioana – Signal analysis – Best Researcher Award

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Assoc Prof Dr. Cornel Ioana - Signal analysis - Best Researcher Award

Grenoble INP - GIPSA-lab - France

Author Profile

ORCID

Early academic pursuits 🎓

Cornel Ioana's academic journey began at the military technical academy of bucharest, where he earned his engineering degree in electronics and information technology in 1999. his passion for signal processing led him to pursue further studies at the university of brest, where he earned both a master of science in telecommunications in 2001 and a ph.d. in electronics and signal processing in 2003. these foundational experiences fueled his deep interest in electronics, telecommunications, and signal processing, paving the way for a prolific academic and research career.

Professional endeavors 🏢

Since september 2006, cornel has been an associate professor at grenoble inp ense3, where he leads research at gipsa-lab. he has taken on multiple leadership roles, including heading the isee (image and signal for energy and environment) teaching-research platform and the sigmaphy research team. his expertise has also extended into entrepreneurship as the founder and ceo of altrans sas, and as the co-founder and scientific advisor of motrhys, reflecting his ability to bridge academia with industry innovation.

Contributions and research focus 🔬

Cornel’s research focus lies at the intersection of electronics and signal processing, with a special emphasis on energy, the environment, and innovative signal analysis techniques. as the principal investigator of more than 18 research projects since 2007, his work has contributed to advancements in signal processing for real-world Signal analysis applications. his leadership in various research projects has had a significant impact on developing new methods for analyzing and interpreting signals in complex systems.

Accolades and recognition 🏅

Cornel's achievements have been recognized through his habilitation to supervise research at the university of grenoble alpes in 2012, marking a high point in his academic career. his contributions to the field have been acknowledged by both the academic community and the industry, highlighting his dual role as a scientist Signal analysis and an innovator. his leadership roles within the academic structure and his success in founding companies further underscore his recognition in both sectors.

Impact and influence 🌍

Through his work in signal processing, cornel has had a substantial impact on both academia and industry. his innovative research has shaped new approaches to Signal analysis signal interpretation, with implications for energy management and environmental monitoring. as a professor and advisor, he has mentored numerous students and researchers, contributing to the growth of knowledge and expertise in his field.

Legacy and future contributions 🔮

Cornel Ioana's legacy is defined by his innovative contributions to electronics and signal processing, as well as his commitment to applying these technologies for energy and environmental benefits. with his continued role as a professor, researcher, and entrepreneur, cornel is poised to keep pushing the boundaries of signal processing, ensuring that his future contributions will continue to shape the field and inspire future generations of researchers.

Notable Publications 

  • Non-Intrusive Continuous Monitoring of Leaks for an In-Service Penstock
    • Authors: Marius Nati, Cristina Despina-Stoian, Dragos Nastasiu, Denis Stanescu, Angela Digulescu, Cornel Ioana, Vincent Nanchen
    • Journal: Sensors (2024-08)
  • Entropy-Based Characterization of the Transient Phenomena—Systemic Approach
    • Authors: Denis Stanescu, Angela Digulescu, Cornel Ioana, Alexandru Serbanescu
    • Journal: Mathematics (2021-03)
  • Reconstruction Error in Nonuniformly Sampled Approximately Sparse Signals
    • Authors: Ljubisa Stankovic, Milos Brajovic, Isidora Stankovic, Cornel Ioana, Milos Dakovic
    • Journal: IEEE Geoscience and Remote Sensing Letters (2021-01)
  • Bit-depth Quantization and Reconstruction Error in Images
    • Authors: Isidora Stankovic, Milos Brajovic, Cornel Ioana, Milos Dakovic, Ljubisa Stankovic
    • Journal: Signal, Image and Video Processing (2020)
  • Quantization Effect in Nonuniform Nonsparse Signal Reconstruction
    • Authors: Isidora Stankovic, Milos Brajovic, Milos Dakovic, Ljubisa Stankovic, Cornel Ioana
    • Journal: Conference paper (2020)