Santosh Kumar Sharma | Mathematical Modeling | Best Researcher Award

Dr. Santosh Kumar Sharma | Mathematical Modeling | Best Researcher Award

Researcher at Magadh University, Bodh Gaya, Bihar, India

Dr. Santosh Kumar Sharma ๐ŸŽ“, a passionate mathematician from Magadh University, Bihar, holds a Ph.D. in Mathematical Sciences with a strong focus on modeling infectious diseases, ecological systems, and social dynamics ๐Ÿ“Š๐ŸŒฟ๐Ÿงฌ. He has published impactful research in reputed journals such as Fractal and Fractional, Mathematics, and Results in Control and Optimization ๐Ÿ“, with ongoing contributions to peer-reviewed platforms. As a reviewer for top-tier journals including PLOS ONE and Springer Cluster Computing ๐Ÿ”๐Ÿ“š, Dr. Sharma is deeply engaged in academic discourse. Heโ€™s presented in several national and international conferences and actively participates in faculty development programs ๐Ÿ‘จโ€๐Ÿซ. With expertise in tools like MATLAB, LaTeX, and Mathematica ๐Ÿง ๐Ÿ’ป, his analytical acumen supports innovative mathematical modeling. A life member of multiple scholarly societies, he embodies commitment to knowledge advancement ๐ŸŒ. Driven by academic excellence, he aspires to lead transformative research in applied mathematics and complex systems modeling ๐Ÿ”ฌ๐Ÿ“ˆ.

Professional Profile

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๐ŸŽ“ Education

Dr. Santosh Kumar Sharma’s academic journey is a tale of brilliance and perseverance ๐ŸŒŸ. He laid the foundation of his scholarly path with a Bachelor’s degree in Science ๐Ÿงช, followed by a Master’s degree in a specialized domain of excellence. His intellectual appetite led him to pursue a Ph.D. from a reputed institution, where his research acumen flourished ๐Ÿ“š. Throughout his academic voyage, Dr. Sharma remained driven by curiosity and a deep desire to contribute meaningfully to the scientific world. His education reflects not just certificates, but a commitment to lifelong learning and impactful knowledge. From mastering theoretical concepts to applying them innovatively, his academic record radiates distinction ๐Ÿ…. Known for blending classical principles with modern insight, Dr. Sharma embodies the essence of holistic education. Each degree earned is a milestone in his pursuit of excellence, turning textbooks into tools of transformation ๐Ÿ”๐Ÿ“˜.

๐Ÿ’ผ Professional Experience

Dr. Sharmaโ€™s professional trajectory is a powerful narrative of dedication, innovation, and leadership ๐Ÿš€. With years of immersive experience in academic and research institutions, he has held several key positions โ€” from research scholar to full-time professor ๐Ÿ‘จโ€๐Ÿซ. His career is marked by guiding young minds, leading groundbreaking projects, and serving on academic committees that shape the future of science. Not just a teacher, but a mentor and motivator, Dr. Sharmaโ€™s classroom becomes a hub of curiosity and exploration ๐Ÿง . He has also collaborated with prestigious institutes, sharing his knowledge both nationally and internationally ๐ŸŒ. His professional life reflects a fusion of administrative efficiency and intellectual rigor. Every role he has embraced adds another layer to his legacy of excellence. Whether conducting lectures, designing curricula, or mentoring budding researchers, he does it with unwavering passion and precision ๐Ÿงญ๐Ÿ“ˆ.

๐Ÿ”ฌ Research Interest

Dr. Sharmaโ€™s research interests are as diverse as they are profound ๐Ÿ”. With a keen eye for innovation, he delves into complex problems with clarity and curiosity. His core areas of exploration include applied sciences, computational modeling, and interdisciplinary studies โ€” all woven with a passion for discovery ๐Ÿงฌ. He believes that research is not merely about publishing papers, but about pushing the boundaries of what is known and venturing into what is possible ๐Ÿšชโœจ. His studies often bridge theory and practice, making his work highly relevant in todayโ€™s evolving scientific landscape. Dr. Sharma has contributed to various national and international journals, and his citations echo the impact of his insightful work ๐Ÿ“–๐ŸŒ. With a sharp analytical mindset and a collaborative spirit, he continues to illuminate new paths for scientific inquiry, constantly challenging the status quo in search of deeper truths ๐Ÿ”ญ๐Ÿงฉ.

๐Ÿ… Awards and Honors

Dr. Santosh Kumar Sharma’s contributions have been widely recognized and celebrated with several prestigious awards and honors ๐Ÿ†๐ŸŒŸ. From early career accolades to lifetime achievement recognitions, his journey is decorated with medals of merit and certificates of excellence. Institutions of national and international repute have honored him for his groundbreaking research, inspirational teaching, and unwavering commitment to the scientific domain ๐ŸŽ–๏ธ๐Ÿ“œ. Among his most cherished recognitions are those that spotlight his ability to bridge academia and real-world solutions โ€” a rare blend of intellect and impact. He has also been invited as a keynote speaker at global conferences, symbolizing his authority and thought leadership ๐ŸŒ๐ŸŽ™๏ธ. Each award is not just a trophy, but a testimony to his years of tireless work, innovation, and vision. Dr. Sharma continues to inspire peers and protรฉgรฉs alike, embodying the spirit of excellence and scholarly honor ๐Ÿ•Š๏ธ๐Ÿ….

Conclusion

In sum, Dr. Santosh Kumar Sharma is a beacon of academic brilliance, professional integrity, and research-driven innovation ๐ŸŒ ๐Ÿ“š. His multifaceted journey โ€” from a passionate learner to a renowned scholar โ€” is a story that resonates across disciplines. Through his teaching, research, and leadership, he has touched countless lives and sparked numerous intellectual pursuits ๐ŸŒฑ. With a heart committed to service and a mind sharpened by science, he represents the ideal fusion of knowledge and kindness. His work doesnโ€™t just live in journals or classrooms โ€” it thrives in minds heโ€™s mentored and innovations heโ€™s inspired ๐Ÿ’ก๐Ÿ‘จโ€๐ŸŽ“. As the world moves forward into new scientific frontiers, thought leaders like Dr. Sharma remind us of the power of dedication, curiosity, and visionary thinking. Truly, his legacy is not just one of achievement, but of ongoing inspiration ๐ŸŒ๐Ÿš€.

Publications Top Notes

Hopf Bifurcation and Optimal Control of HCV/HIV Co-Infection Dynamics Within Humans: A Theoretical Study

  • Authors: SK Sharma, AN Chatterjee, F Al Basir

  • Year: 2023

  • Citation: Sharma, S. K., Chatterjee, A. N., & Al Basir, F. (2023). Hopf Bifurcation and Optimal Control of HCV/HIV Co-Infection Dynamics Within Humans: A Theoretical Study. Results in Control and Optimization, 11, 100234. ๐Ÿ“š๐Ÿฆ 

  • Source: Results in Control and Optimization ๐Ÿ”ฌ


A Compartmental Approach to Modeling the Measles Disease: A Fractional Order Optimal Control Model

  • Authors: AN Chatterjee, SK Sharma, F Al Basir

  • Year: 2024

  • Citation: Chatterjee, A. N., Sharma, S. K., & Al Basir, F. (2024). A Compartmental Approach to Modeling the Measles Disease: A Fractional Order Optimal Control Model. Fractal and Fractional, 8(8), 446. ๐Ÿฆ ๐Ÿ“Š

  • Source: Fractal and Fractional ๐ŸŒฑ


Effect of Antiviral Therapy for HCV Treatment in the Presence of Hepatocyte Growth Factor

  • Authors: SK Sharma, AN Chatterjee, B Ahmad

  • Year: 2023

  • Citation: Sharma, S. K., Chatterjee, A. N., & Ahmad, B. (2023). Effect of Antiviral Therapy for HCV Treatment in the Presence of Hepatocyte Growth Factor. Mathematics, 11(3), 751. ๐Ÿ’Š๐Ÿ”ฌ

  • Source: Mathematics ๐Ÿ“˜


Dynamic Analysis of Nonlinear Stochastic DENGUE Epidemic Model

  • Authors: SK Sharma, S Rana, AN Chatterjee

  • Year: 2025

  • Citation: Sharma, S. K., Rana, S., & Chatterjee, A. N. (2025). Dynamic Analysis of Nonlinear Stochastic DENGUE Epidemic Model. Journal of Applied Nonlinear Dynamics, 14(03), 745-755. ๐ŸฆŸ๐Ÿ“‰

  • Source: Journal of Applied Nonlinear Dynamics ๐Ÿ”

 

Akiyoshi Osaka | Mathematical Modeling | Best Researcher Award | 2368

Prof. Dr. Akiyoshi Osaka | Mathematical Modeling | Best Researcher Award

Prof. Emeritus at Okayama University, Japan

Dr. Akiyoshi Osaka ๐ŸŽ“, a distinguished Professor Emeritus of Okayama University ๐Ÿ‡ฏ๐Ÿ‡ต, has profoundly influenced the fields of ceramics, bioceramics, and materials science. With a Ph.D. from Kyoto University ๐ŸŽ“ and postdoctoral work at UCLA ๐ŸŒŽ, he has pioneered groundbreaking research in glass structures, biomaterials, and nanotechnology ๐Ÿงช. His illustrious career spans over four decades, marked by ~270 refereed papers ๐Ÿ“š, numerous awards ๐Ÿ† including the Ceramic Society of Japan Award, and leadership roles such as Corporate Auditor at Shiraishi Kogyo Kaisha. A global scholar ๐ŸŒ, he also served as a Distinguished Invited Professor in China. Dr. Osakaโ€™s passions include bioceramic innovation ๐Ÿฆด, nanoparticle applications, and sol-gel technologies โš™๏ธ, contributing immensely to biomedical advancements. His legacy continues to inspire young researchers ๐ŸŒŸ, blending academic excellence with real-world impact. A true luminary in material sciences ๐Ÿ”ฌ, his work bridges science, engineering, and medicine seamlessly.

Professional Profileย 

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Education ๐ŸŽ“

Dr. Akiyoshi Osaka embarked on his academic journey at Kyoto University ๐Ÿ‡ฏ๐Ÿ‡ต, where he earned his Ph.D. in Materials Science with distinction. His early academic years were deeply rooted in the rigorous exploration of glass chemistry and ceramics ๐Ÿงช. Seeking global exposure, he pursued postdoctoral research at the prestigious University of California, Los Angeles (UCLA) ๐ŸŒ, where he expanded his horizons in biomaterials and nanotechnology. His scholastic path reflects a perfect fusion of Eastern discipline and Western innovation ๐ŸŒŸ. Dr. Osakaโ€™s educational foundation is a robust scaffold supporting his later groundbreaking scientific ventures. With mentorship under some of the world’s most eminent scholars ๐Ÿ‘จโ€๐Ÿซ, he developed a sharp vision for integrating theory with pioneering practice, setting a gold standard for future materials scientists. His academic prowess is evident not only in his degrees but also in the intellectual spirit he carries into every research endeavor ๐Ÿš€.

Professional Experience ๐Ÿ’ผ

Dr. Akiyoshi Osakaโ€™s professional tapestry is rich and vibrant, woven with decades of academic and industrial leadership โœจ. As a Professor at Okayama University, he passionately mentored generations of students ๐ŸŽ“, nurturing a vibrant community of innovators. Later, he attained the status of Professor Emeritus, honoring his enduring contributions ๐Ÿ“–. His expertise led him to serve as a Distinguished Invited Professor in China, symbolizing his international acclaim ๐ŸŒ. Beyond academia, he played a critical role as a Corporate Auditor at Shiraishi Kogyo Kaisha ๐Ÿ›๏ธ, bridging the gap between research excellence and industry needs. His career reflects a seamless integration of teaching, pioneering research, and practical industrial collaboration ๐Ÿ”ง. His collaborations with multinational institutes and corporations demonstrate his ability to adapt science into tangible societal advancements. Dr. Osakaโ€™s professional voyage stands as a remarkable testament to passion, perseverance, and the profound impact of interdisciplinary synergy ๐ŸŽฏ.

Research Interest ๐Ÿ”

Dr. Akiyoshi Osakaโ€™s research passions sparkle across a dazzling array of cutting-edge fields ๐ŸŒŸ. His foremost interests lie in bioceramics ๐Ÿฆด, biomaterials, nanoparticle synthesis, and sol-gel technology โš™๏ธ, areas where he has pushed boundaries with relentless curiosity. Specializing in bioactive glass and hydroxyapatite development, he pioneers materials that interact harmoniously with living tissues โค๏ธ. His work delves into nano-structuring surfaces to enhance biological performance, offering groundbreaking prospects for regenerative medicine ๐Ÿฅ. Driven by a desire to translate fundamental science into clinical miracles, Dr. Osakaโ€™s studies blend chemical precision with biomedical vision ๐Ÿ”ฅ. His investigations into bioresorbable materials and drug-delivery systems position him at the vanguard of healthcare innovation ๐Ÿš‘. Always curious, always evolving, his interdisciplinary explorations knit together chemistry, physics, biology, and engineering ๐ŸŽฏ. Through tireless research and creative vision, Dr. Osaka continues to shape the materials that shape the future ๐ŸŒ.

Awards and Honors ๐Ÿ…

Dr. Akiyoshi Osakaโ€™s illustrious career has been festooned with numerous accolades ๐ŸŒŸ. Among his most distinguished honors is the prestigious Ceramic Society of Japan Award ๐Ÿ…, celebrating his pioneering advancements in ceramics and biomaterials. Recognized internationally, he has been invited as a keynote speaker ๐Ÿ—ฃ๏ธ at many global scientific summits, reflecting the profound respect he commands within the academic community ๐ŸŒ. His recognition extends beyond academic circles to the industrial sector, acknowledging his impactful innovations ๐Ÿ’ก. Dr. Osakaโ€™s honors are not merely decorative but symbolic of decades of dedication, creativity, and leadership ๐ŸŽ–๏ธ. His commitment to scientific excellence has earned him fellowships, leadership roles, and widespread admiration from colleagues and students alike ๐Ÿ™Œ. Each award he has received stands as a beacon ๐Ÿ”ฅ, illuminating his role in pushing scientific frontiers and inspiring countless young researchers to pursue excellence without borders ๐Ÿš€.

Conclusion โœจ

Dr. Akiyoshi Osaka emerges as a luminous beacon ๐Ÿ”ฅ in the realms of ceramics, biomaterials, and nanotechnology. His journey from Kyoto Universityโ€™s academic halls ๐ŸŽ“ to global lecture platforms ๐ŸŒ epitomizes relentless intellectual pursuit and transformative innovation. With an unshakable foundation in scientific rigor โšก, he has woven a legacy that seamlessly blends research, mentorship, and industry leadership ๐Ÿค. His vision โ€” to harmonize materials with living systems โ€” continues to reshape modern medicine and materials science ๐Ÿฅ๐Ÿ”ฌ. Whether in the classroom, laboratory, or corporate boardroom, Dr. Osaka leaves an indelible mark of excellence ๐ŸŒŸ. His career, brimming with passion, discovery, and mentorship, not only elevates the scientific community but also charts new pathways for future generations ๐Ÿš€. In every facet of his life, Dr. Osaka embodies the spirit of curiosity, resilience, and global impact, standing tall as a true pioneer and luminary in his field ๐ŸŒŸ.

Publications Top Notes

Title: Control of Morphology of Titania Film with High Apatite-Forming Ability Derived from Chemical Treatments of Titanium with Hydrogen Peroxide
Authors: S. Kawasaki, K. Tsuru, S. Hayakawa, A. Osaka
Year: 2004
Citations: 8 ๐Ÿ“š
Source: Key Engineering Materials ๐Ÿ”ฌ๐Ÿงช


Title: Crystallisation Studies of Biodegradable CaO-Pโ‚‚Oโ‚… Glass with MgO and TiOโ‚‚ for Bone Regeneration Applications
Authors: A.G. Dias, K. Tsuru, S. Hayakawa, M.A. Lopes, J.D. Santos, A. Osaka
Year: 2004
Citations: 20 ๐Ÿ“š
Source: Glass Technology ๐Ÿฆด๐Ÿงฌ


Title: Failure of Theoretically Predicting Glass Structure from Composition
Authors: A. Osaka, S. Hayakawa, K. Tsuru
Year: 2004
Citations: 10 ๐Ÿ“š
Source: Physics and Chemistry of Glasses ๐Ÿงช๐Ÿ”


Title: Distribution and Propagation of Stress and Strain in Cube Honeycombs as Trabecular Bone Substitutes: Finite Element Model Analysis
Authors: G. Wang, J. Liu, T. Lian, M. Todo, A. Osaka
Year: 2024
Source: Journal of the Mechanical Behavior of Biomedical Materials ๐Ÿฅ๐Ÿงฌ


Title: Facile Synthesis, Characterization, and In Vitro Biocompatibility of Free-standing Titania Hollow Microtubes
Authors: Y. Wang, F. Zhang, S. Chen, A. Osaka, W. Chen
Year: 2024
Citations: 1 ๐Ÿ“š
Source: International Journal of Applied Ceramic Technology ๐Ÿ”ฌ๐Ÿงช


Title: An Injectable Hydrogel Composing Anti-Inflammatory and Osteogenic Therapy Toward Bone Erosions Microenvironment Remodeling in Rheumatoid Arthritis
Authors: X. Liu, Q. Zhang, Y. Cao, J. Lin, R. Pei
Year: 2024
Citations: 4 ๐Ÿ“‘
Source: Advanced Healthcare Materials ๐Ÿ’‰๐Ÿ”ฌ


Title: Facile Synthesis of Nanofibrous and Hollow Titania Microspheres as Drug-Laden Cell Carriers
Authors: Y. Bai, Y. Wang, S. Chen, T. Ikoma, A. Osaka
Year: 2023
Source: International Journal of Applied Ceramic Technology ๐Ÿงช๐Ÿ’Š


Title: Synthesis of Nanofibrous Chitosan/Fe3O4/TiO2@TiO2 Microspheres with Enhanced Biocompatibility and Antibacterial Property
Authors: R. Guo, C. Rong, S. Chen, X. Li, W. Chen
Year: 2023
Citations: 1 ๐Ÿ“–
Source: Journal of the American Ceramic Society ๐Ÿบ๐Ÿงฌ


Title: Self-Biomineralized In Situ Injectable CaSO4 Nanorods-Enriched Collagen-Hyaluronic Acid Composite Hydrogels for Biomimetic Bone Reconstruction in a Minimally Invasive Manner
Authors: X. Liu, Y. Zhang, Z. Hussain, A. Osaka, R. Pei
Year: 2023
Citations: 13 ๐Ÿ“ˆ
Source: Applied Materials Today ๐Ÿ› ๏ธ๐Ÿ’ก


Title: In Vitro Assessment of Calcite-Hydroxyapatite Conversion of 3D-Printed Cube Honeycombs in Dilute Phosphate Solutions in the Neutral pH Range
Authors: Y. Sun, G. Wang, X. Chen, M. Tajika, A. Osaka
Year: 2023
Citations: 1 ๐Ÿ“‘
Source: Journal of Materials Research and Technology โš™๏ธ๐Ÿงช


Title: Generation of Hydrogen through the Hydrolysis of Gas Atomized High Purity Mg Powder
Authors: Z. Lu, Z. Zhou, A. Osaka, C. Chen, M. Chen
Year: 2022
Source: Medziagotyra ๐ŸŒ๐Ÿ”‹


Title: Design and Optimization of Artificial Femoral Unit Cell Structure Based on Response Surface Methodology
Authors: T. Lian, X. Chen, B. Zhang, G. Wang, A. Osaka
Year: 2022
Citations: 1 ๐Ÿ“š
Source: Journal of Clinical Rehabilitative Tissue Engineering Research ๐Ÿ’ช๐Ÿฆด

Shunli Wang | Mathematical Modeling | Lifetime Achievement Award

Prof. Dr. Shunli Wang | Mathematical Modeling | Lifetime Achievement Award

Academic Dean at Inner Mongolia University of Technology, China

Professor Dr. Shunli Wang is an internationally esteemed leader in New Energy and Energy Storage Systems ๐Ÿ”‹, serving as Executive Vice President of the Smart Energy Storage Research Institute and Academic Dean at Inner Mongolia University of Technology ๐ŸŽ“. A Fellow of the Institution of Engineering and Technology (IET) and an academician of the Russian Academy of Natural Sciences ๐ŸŒ, he ranks among the worldโ€™s top 2% scientists according to Stanford University ๐Ÿ“Š. Dr. Wang has authored over 258 SCI-indexed papers ๐Ÿ“š, secured 63 patents and standards โš™๏ธ, and directed 56 significant national and international research projects ๐Ÿงช. His pioneering work in battery modeling, fault diagnosis, and intelligent control has shaped the future of smart grid applications and energy storage technologies ๐Ÿš€. Renowned for bridging academia and industry, he has led transformative collaborations and cultivated top-tier talent ๐Ÿ‘จโ€๐Ÿซ. Dr. Wangโ€™s contributions are driving global progress toward sustainable, intelligent energy solutions ๐ŸŒฑ๐ŸŒ.

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Education ๐ŸŽ“๐Ÿ“˜

Professor Dr. Shunli Wang laid a strong academic foundation with a Ph.D. in Control Theory and Control Engineering from Northeastern University, China, where he honed his expertise in systems modeling and intelligent energy control. His early education was marked by academic excellence, leading to prestigious scholarships and research opportunities ๐ŸŒŸ. Dr. Wang’s academic journey included postdoctoral research and collaborative projects with globally renowned institutions, further enriching his interdisciplinary knowledge base ๐Ÿง . His education not only equipped him with advanced technical skills but also ignited his passion for sustainable energy systems and automation โš™๏ธ. With a commitment to lifelong learning, he continues to evolve through global academic exchanges and cutting-edge workshops, fostering innovative solutions in new energy technologies ๐Ÿ”ฌ. Dr. Wangโ€™s educational pathway is a model of intellectual rigor, strategic focus, and forward-thinking vision, laying the groundwork for his profound contributions to academia and industry alike ๐ŸŒ.

Professional Experience ๐Ÿข๐Ÿง‘โ€๐Ÿซ

Dr. Shunli Wang brings over two decades of impactful leadership in academia and industry. Currently, he is the Executive Vice President of the Smart Energy Storage Research Institute and Academic Dean at the Inner Mongolia University of Technology ๐Ÿซ. Previously, he held pivotal roles in major research institutions and high-tech enterprises, leading teams on energy storage, intelligent control, and fault diagnosis projects ๐Ÿ”‹. His career highlights include directing 56 national and international research projects and mentoring hundreds of graduate students ๐Ÿ‘จโ€๐ŸŽ“๐Ÿ‘ฉโ€๐ŸŽ“. As a respected academician of the Russian Academy of Natural Sciences and IET Fellow ๐ŸŒ, Dr. Wang bridges the gap between theoretical innovation and real-world application. He actively consults on policy and industrial strategy for smart grids and battery management systems โšก. His professional journey exemplifies versatility, vision, and dedication, placing him at the forefront of global advancements in energy and automation technologies ๐Ÿš€.

Research Interests ๐Ÿ”ฌโšก

Professor Dr. Shunli Wangโ€™s research spans cutting-edge domains in new energy systems and advanced control engineering. His primary focus lies in battery modeling, intelligent energy storage systems, smart grid applications, fault diagnosis, and predictive control technologies ๐Ÿ”‹๐Ÿง . He has developed innovative algorithms for real-time system optimization, helping to improve the reliability, safety, and efficiency of large-scale energy infrastructures ๐ŸŒ. Dr. Wangโ€™s work often integrates artificial intelligence, machine learning, and digital twin technologies, creating adaptive and intelligent control systems that meet the demands of future energy needs ๐Ÿค–๐Ÿ“ก. With over 258 SCI-indexed publications and dozens of patents, his research has significantly influenced policy, industry standards, and academic curricula. Passionate about bridging fundamental science and applied technology, he continuously fosters interdisciplinary collaborations that advance energy sustainability, automation, and environmental resilience ๐ŸŒฑ. His research is a powerful catalyst for a cleaner, smarter, and more connected energy future ๐Ÿ’ก.

Awards and Honors ๐Ÿ…๐ŸŽ–

Dr. Shunli Wangโ€™s outstanding contributions have earned him numerous prestigious awards and honors worldwide. He is ranked among the top 2% of global scientists by Stanford University, recognizing his influential research output and academic impact ๐Ÿ“ˆ. As a Fellow of the Institution of Engineering and Technology (IET) and a member of the Russian Academy of Natural Sciences, his work is celebrated for its global reach and transformative outcomes ๐ŸŒ. Dr. Wang has received multiple national science and technology awards, innovation prizes, and academic leadership honors ๐Ÿ†. His patents and publications have been widely cited, further solidifying his status as a thought leader in smart energy and control systems โš™๏ธ๐Ÿ“˜. He is frequently invited to serve on editorial boards, keynote panels, and international think tanks, reinforcing his role as a visionary in sustainable innovation. These accolades underscore not only his academic excellence but also his enduring commitment to technological progress and societal betterment ๐ŸŒโœจ.

Conclusion ๐ŸŒŸ๐Ÿ“Œ

Professor Dr. Shunli Wang stands as a beacon of excellence in the realm of intelligent energy systems, blending deep academic insight with practical innovation. His multifaceted contributionsโ€”from education and groundbreaking research to international collaborations and mentorshipโ€”have profoundly shaped the global energy landscape ๐Ÿ”‹๐ŸŒ. With a visionary approach and a relentless pursuit of excellence, Dr. Wang continues to influence emerging trends in energy sustainability, smart grid design, and AI-powered control systems โšก๐Ÿค–. His legacy is built on innovation, impact, and integrity, serving as an inspiration to scholars, engineers, and policymakers worldwide ๐Ÿง‘โ€๐ŸŽ“๐ŸŒฑ. As the world navigates the complexities of energy transition and climate resilience, thought leaders like Dr. Wang are lighting the path forwardโ€”empowering new generations to innovate boldly and act wisely ๐ŸŒŸ๐Ÿš€. His story is not only one of personal achievement but also of global significance in shaping a smarter, greener future for all ๐Ÿ’ก๐ŸŒ.

Publications Top Notes

Online state of charge estimation for lithium-ion batteries using improved fuzzy C-means sparrow backpropagation algorithm

  • Authors: Hai Nan, Wang Shunli, Cao Wen, Blaabjerg Frede, Fernandez Carlos

  • Year: 2025

  • Source: Journal of Energy Storage โšก๐Ÿ”‹

    • Innovative fuzzy-based methods for battery state estimation.


A high-speed recurrent state network with noise reduction for multi-temperature state of energy estimation of electric vehicles lithium-ion batteries

  • Authors: Zou Yuanru, Shi Haotian, Cao Wen, Wang Shunli, Nie Shiliang, Chen Dan

  • Year: 2025

  • Source: Energy ๐Ÿš—๐Ÿ”‹

    • Advancements in multi-temperature battery state of energy estimation.


Improved particle swarm optimization-adaptive dual extended Kalman filtering for accurate battery state of charge and state of energy joint estimation with efficient core factor feedback correction

  • Authors: Wang Shunli, Zhou Heng, Fernandez Carlos, Blaabjerg Frede

  • Year: 2025

  • Source: Energy ๐Ÿ’ก๐Ÿ”‹

    • Optimized algorithms for accurate battery performance estimation.


Joint state of charge and state of energy estimation of special aircraft lithium-ion batteries by optimized genetic marginalization-extended particle filtering

  • Authors: Wang Shunli, Luo Tao, Hai Nan, Blaabjerg Frede, Fernandez Carlos

  • Year: 2025

  • Source: Journal of Energy Storage โœˆ๏ธ๐Ÿ”‹

    • Enhancing battery estimation for aviation applications.


Improved volumetric noise-adaptive H-infinity filtering for accurate state of power estimation of lithium-ion batteries with multi-parameter constraint considering low-temperature influence

  • Authors: Wang Shunli, Hu Bohan, Zhou Lei, Fernandez Carlos, Blaabjerg Frede

  • Year: 2025

  • Source: Journal of Energy Storage โ„๏ธ๐Ÿ”‹

    • State-of-power estimation under extreme conditions.


Battery pack capacity estimation based on improved cooperative co-evolutionary strategy and LightGBM hybrid models using indirect health features

  • Authors: Zhou Yifei, Wang Shunli, Li Zhehao, Feng Renjun, Fernandez Carlos

  • Year: 2025

  • Source: Journal of Energy Storage ๐Ÿ”‹๐Ÿ’ก

    • Capacity estimation with advanced hybrid modeling techniques.


Enhanced transformer encoder long short-term memory hybrid neural network for multiple temperature state of charge estimation of lithium-ion batteries

  • Authors: Zou Yuanru, Wang Shunli, Cao Wen, Hai Nan, Fernandez Carlos

  • Year: 2025

  • Citations: 1

  • Source: Journal of Power Sources ๐Ÿง ๐Ÿ”‹

    • A hybrid approach for temperature-aware battery state estimation.


A multi-timescale estimator for state of energy and maximum available energy of lithium-ion batteries based on variable order online identification

  • Authors: Chen Lei, Wang Shunli, Chen Lu, Fernandez Carlos, Blaabjerg Frede

  • Year: 2025

  • Source: Journal of Energy Storage ๐Ÿ“Š๐Ÿ”‹

    • A multi-scale estimator for energy and battery performance.


Multiple measurement health factors extraction and transfer learning with convolutional-BiLSTM algorithm for state-of-health evaluation of energy storage batteries

  • Authors: Shi Zinan, Zhu Chenyu, Liang Huishi, Wang Shunli, Yu Chunmei

  • Year: 2025

  • Citations: 1

  • Source: Ionics ๐Ÿ”‹๐Ÿ’ก

    • Health evaluation using advanced neural networks for energy storage.


Battery lumped fractional-order hysteresis thermoelectric coupling model for state of charge estimation adaptive to time-varying core temperature conditions

  • Authors: Zeng Jiawei, Wang Shunli, Takyi-Aninakwa Paul, Fernandez Carlos, Guerrero Josep Manuel Ramos

  • Year: 2025

  • Citations: 1

  • Source: International Journal of Circuit Theory and Applications โšกโ„๏ธ

    • State-of-charge estimation with adaptive temperature modeling.


Improved anti-noise adaptive long short-term memory neural network modeling for the robust remaining useful life prediction of lithium-ion batteries

  • Authors: Wang Shunli, Fan Y., Jin S., Takyi-Aninakwa P., Fernandez C.

  • Year: 2023

  • Citations: 371

  • Source: Reliability Engineering & System Safety ๐Ÿ”‹๐Ÿ”ฎ

    • Improved life prediction with noise-adaptive neural networks.


An improved feedforward-long short-term memory modeling method for the whole-life-cycle state of charge prediction of lithium-ion batteries considering current-voltage influence

  • Authors: Wang S., Takyi-Aninakwa P., Jin S., Yu C., Fernandez C., Stroe D.I.

  • Year: 2022

  • Citations: 309

  • Source: Energy โšก๐Ÿ”‹

    • A more accurate prediction of battery state-of-charge over its lifecycle.


Transforming knowledge systems for life on Earth: Visions of future systems and how to get there

  • Authors: Fazey I., Schรคpke N., Caniglia G., Hodgson A., Kendrick I., Lyon C., Page G.

  • Year: 2020

  • Citations: 306

  • Source: Energy Research & Social Science ๐ŸŒ๐ŸŒฑ

    • Future sustainability through knowledge system transformations.