Qi Zhang | Mathematical Modeling | Best Researcher Award

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Assoc. Prof. Dr. Qi Zhang | Mathematical Modeling | Best Researcher Award

Senior Researcher at Shandong University, China

Dr. Qi Zhang 👨‍🔬, an Associate Senior Researcher at the School of Control Science and Engineering, Shandong University 🇨🇳, is a leading expert in electric vehicles 🚗, lithium-ion batteries 🔋, and power battery management. With a strong focus on energy optimization and modeling, he has contributed extensively to top-tier journals as an Editor-in-Chief, Guest Editor, and reviewer ✍️. A respected member of IEEE and several national academic committees 🏅, Dr. Zhang has organized and chaired major international conferences, shaping the future of clean energy and smart mobility 🌍. His active involvement in editorial boards and special issues demonstrates his influence in advancing electrochemical energy research ⚡. A passionate academic, Dr. Zhang combines innovation, collaboration, and impact, making him a recognized name in sustainable technology and battery systems research. 📘🔬

Professional Profile 

🎓 Education

Dr. Qi Zhang pursued his academic journey in engineering with a strong foundation in control science and power systems ⚙️. His higher education equipped him with advanced knowledge in battery management systems, lithium-ion technology, and electrical vehicle engineering 🔋🚗. With a keen interest in applied research, he specialized in battery modeling and system optimization, aligning his studies with pressing global energy challenges 🌱. His academic background laid the groundwork for his impactful research in energy storage and control systems, supported by hands-on experimentation and computational modeling 📚💡. Dr. Zhang’s education has not only shaped his technical abilities but also nurtured his analytical mindset, fostering a deep commitment to innovation, sustainable mobility, and academic excellence 📖🏅.

💼 Professional Experience

Dr. Qi Zhang is an Associate Senior Researcher at the School of Control Science and Engineering, Shandong University 🇨🇳. With years of dedicated service, he has established himself as a key contributor in electric vehicle technologies and battery systems 🔌🚘. He has taken on multiple leadership roles including Editor-in-Chief, Guest Editor, and Session Chair at international conferences such as ICIEA and NESD 📊🌐. His professional affiliations include IEEE, AEIC, and Chinese Electrotechnical Society, reflecting his deep integration into global research networks 🤝. Dr. Zhang’s work spans across research, academic mentorship, and peer review, demonstrating a balanced blend of theory and real-world application. His industry collaborations and research leadership showcase a career marked by innovation, reliability, and technical excellence 📈🔍.

🔬 Research Interests

Dr. Zhang’s research is centered on electric vehicles, lithium-ion batteries, and power battery modeling and management systems 🚗🔋. His work focuses on enhancing the efficiency, safety, and performance of energy storage and electric mobility systems through smart algorithms and control strategies 🤖📡. He investigates battery thermal dynamics, charging protocols, and electrochemical modeling to improve reliability and longevity of EV systems ⏱️⚡. Additionally, his interest in fractional-order systems and data-driven approaches positions him at the forefront of next-gen battery technology. Dr. Zhang’s interdisciplinary focus bridges the gap between control science, energy sustainability, and intelligent transport systems 🛣️🌍. His research contributes significantly to the green energy transition, paving the way for smarter and more sustainable mobility solutions 🌱🧠.

🏅 Awards and Honors

Dr. Qi Zhang’s dedication to academic excellence has earned him numerous accolades 🌟. Recognized as an Outstanding Reviewer by top-tier journals like ISA Transactions and Electrical Engineering, he has demonstrated rigorous scholarly commitment and peer evaluation integrity 🧾🔍. His editorial leadership in special issues of Symmetry, Energies, Electrochem, and Electronics underlines his recognition as a thought leader in battery research and energy systems 🔋📘. In addition, his roles in professional societies, including IEEE membership and his inclusion in academic committees across Asia and Singapore 🇸🇬, affirm his influential standing. These honors reflect his consistent impact on the field and his dedication to collaborative progress in clean energy and vehicle electrification ⚡🚗.

🛠️ Research Skills

Dr. Zhang exhibits a diverse and sophisticated research skillset encompassing battery modeling, control system design, thermal analysis, and intelligent battery management 🧠💻. His proficiency in computational tools and system simulations allows him to address complex engineering challenges with precision. He is adept at leading multidisciplinary projects, organizing special issues, and reviewing for globally reputed journals, showcasing his editorial and analytical acumen 📈📝. Additionally, his technical expertise extends to data analysis, algorithm design, and hybrid energy systems, enabling impactful contributions in sustainable technology. With strong communication skills, project coordination capabilities, and collaborative leadership, Dr. Zhang bridges theory and application seamlessly. His combination of technical depth and academic influence positions him as a forward-thinking researcher and innovator 🌐🔬.

Publications Top Note 📝

  • Title: A novel fractional variable-order equivalent circuit model and parameter identification of electric vehicle Li-ion batteries
    Authors: Q. Zhang, Y. Shang, Y. Li, N. Cui, B. Duan, C. Zhang
    Year: 2020
    Citations: 138
    Source: ISA Transactions, Vol. 97, pp. 448–457

  • Title: Remaining useful life prediction of lithium‐ion battery based on extended Kalman particle filter
    Authors: B. Duan, Q. Zhang, F. Geng, C. Zhang
    Year: 2020
    Citations: 124
    Source: International Journal of Energy Research, Vol. 44(3), pp. 1724–1734

  • Title: Co-estimation of model parameters and state-of-charge for lithium-ion batteries with recursive restricted total least squares and unscented Kalman filter
    Authors: R. Zhu, B. Duan, J. Zhang, Q. Zhang, C. Zhang
    Year: 2020
    Citations: 109
    Source: Applied Energy, Vol. 277, Article 115494

  • Title: A sine-wave heating circuit for automotive battery self-heating at subzero temperatures
    Authors: Y. Shang, K. Liu, N. Cui, Q. Zhang, C. Zhang
    Year: 2019
    Citations: 95
    Source: IEEE Transactions on Industrial Informatics, Vol. 16(5), pp. 3355–3365

  • Title: Multicell-to-Multicell Equalizers Based on Matrix and Half-Bridge LC Converters for Series-Connected Battery Strings
    Authors: Y. Shang, Q. Zhang, N. Cui, B. Duan, Z. Zhou, C. Zhang
    Year: 2019
    Citations: 90
    Source: IEEE Journal of Emerging and Selected Topics in Power Electronics, Vol. 8(2)

  • Title: A cell-to-cell equalizer based on three-resonant-state switched-capacitor converters for series-connected battery strings
    Authors: Y. Shang, Q. Zhang, N. Cui, C. Zhang
    Year: 2017
    Citations: 84
    Source: Energies, Vol. 10(2), Article 206

  • Title: An optimized mesh-structured switched-capacitor equalizer for lithium-ion battery strings
    Authors: Y. Shang, Q. Zhang, N. Cui, B. Duan, C. Zhang
    Year: 2018
    Citations: 79
    Source: IEEE Transactions on Transportation Electrification, Vol. 5(1), pp. 252–261

  • Title: Modeling and analysis of high-frequency alternating-current heating for lithium-ion batteries under low-temperature operations
    Authors: Y. Shang, C. Zhu, G. Lu, Q. Zhang, N. Cui, C. Zhang
    Year: 2020
    Citations: 76
    Source: Journal of Power Sources, Vol. 450, Article 227435

  • Title: Robust current control-based generalized predictive control with sliding mode disturbance compensation for PMSM drives
    Authors: X. Liu, C. Zhang, K. Li, Q. Zhang
    Year: 2017
    Citations: 72
    Source: ISA Transactions, Vol. 71, pp. 542–552

  • Title: Fractional calculus based modeling of open circuit voltage of lithium-ion batteries for electric vehicles
    Authors: Q. Zhang, N. Cui, Y. Li, B. Duan, C. Zhang
    Year: 2020
    Citations: 62
    Source: Journal of Energy Storage, Vol. 27, Article 100945

  • Title: An adaptive battery capacity estimation method suitable for random charging voltage range in electric vehicles
    Authors: C. Zhang, Y. Kang, B. Duan, Z. Zhou, Q. Zhang, Y. Shang, A. Chen
    Year: 2021
    Citations: 55
    Source: IEEE Transactions on Industrial Electronics, Vol. 69(9), pp. 9121–9132

  • Title: Fractional-order modeling of lithium-ion batteries using additive noise assisted modeling and correlative information criterion
    Authors: M. Yu, Y. Li, I. Podlubny, F. Gong, Y. Sun, Q. Zhang, Y. Shang, B. Duan
    Year: 2020
    Citations: 52
    Source: Journal of Advanced Research, Vol. 25, pp. 49–56

  • Title: Optimal planning of electric vehicle charging stations considering user satisfaction and charging convenience
    Authors: D. Xu, W. Pei, Q. Zhang
    Year: 2022
    Citations: 43
    Source: Energies, Vol. 15(14), Article 5027

  • Title: A neural network fuzzy energy management strategy for hybrid electric vehicles based on driving cycle recognition
    Authors: Q. Zhang, X. Fu
    Year: 2020
    Citations: 42
    Source: Applied Sciences, Vol. 10(2), Article 696

  • Title: Parameter matching optimization of a powertrain system of hybrid electric vehicles based on multi-objective optimization
    Authors: X. Fu, Q. Zhang, J. Tang, C. Wang
    Year: 2019
    Citations: 32
    Source: Electronics, Vol. 8(8), Article 875

  • Title: Variable fractional order—A comprehensive evaluation indicator of lithium-ion batteries
    Authors: Y. Sun, Y. Li, M. Yu, Z. Zhou, Q. Zhang, B. Duan, Y. Shang, C. Zhang
    Year: 2020
    Citations: 31
    Source: Journal of Power Sources, Vol. 448, Article 227411

  • Title: Practical State of Health Estimation for LiFePO4 Batteries Based on Gaussian Mixture Regression and Incremental Capacity Analysis
    Authors: Z. Zhou, B. Duan, Y. Kang, Y. Shang, Q. Zhang, C. Zhang
    Year: 2022
    Citations: 30
    Source: IEEE Transactions on Industrial Electronics, Vol. 70(3), pp. 2576–2585

🏁 Conclusion

In conclusion, Dr. Qi Zhang is a distinguished scholar and researcher in the field of electric mobility and battery management 🌟. His expertise spans critical areas of lithium-ion battery systems, energy efficiency, and sustainable vehicle technology 🚗⚡. With a robust academic background, impactful editorial and professional roles, and a well-rounded skillset, he demonstrates all the qualities of a global research leader. His work not only advances scientific understanding but also contributes to the development of clean and intelligent transport solutions 🌍🛠️. Through consistent contributions to international journals, conferences, and collaborative networks, Dr. Zhang remains a key figure driving innovation in energy systems. He is exceptionally well-positioned for recognition such as the Best Researcher Award for his dedication, vision, and impact 🏅.

Akiyoshi Osaka | Mathematical Modeling | Best Researcher Award | 2368

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

Prof. Emeritus at Okayama University, Japan

Dr. Akiyoshi Osaka 🎓, a distinguished Professor Emeritus of Okayama University 🇯🇵, has profoundly influenced the fields of ceramics, bioceramics, and materials science. With a Ph.D. from Kyoto University 🎓 and postdoctoral work at UCLA 🌎, he has pioneered groundbreaking research in glass structures, biomaterials, and nanotechnology 🧪. His illustrious career spans over four decades, marked by ~270 refereed papers 📚, numerous awards 🏆 including the Ceramic Society of Japan Award, and leadership roles such as Corporate Auditor at Shiraishi Kogyo Kaisha. A global scholar 🌍, he also served as a Distinguished Invited Professor in China. Dr. Osaka’s passions include bioceramic innovation 🦴, nanoparticle applications, and sol-gel technologies ⚙️, contributing immensely to biomedical advancements. His legacy continues to inspire young researchers 🌟, blending academic excellence with real-world impact. A true luminary in material sciences 🔬, his work bridges science, engineering, and medicine seamlessly.

Professional Profile 

Google Scholar
Scopus Profile
ORCID Profile

Education 🎓

Dr. Akiyoshi Osaka embarked on his academic journey at Kyoto University 🇯🇵, 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 🧪. Seeking global exposure, he pursued postdoctoral research at the prestigious University of California, Los Angeles (UCLA) 🌍, where he expanded his horizons in biomaterials and nanotechnology. His scholastic path reflects a perfect fusion of Eastern discipline and Western innovation 🌟. Dr. Osaka’s educational foundation is a robust scaffold supporting his later groundbreaking scientific ventures. With mentorship under some of the world’s most eminent scholars 👨‍🏫, 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 🚀.

Professional Experience 💼

Dr. Akiyoshi Osaka’s professional tapestry is rich and vibrant, woven with decades of academic and industrial leadership ✨. As a Professor at Okayama University, he passionately mentored generations of students 🎓, nurturing a vibrant community of innovators. Later, he attained the status of Professor Emeritus, honoring his enduring contributions 📖. His expertise led him to serve as a Distinguished Invited Professor in China, symbolizing his international acclaim 🌏. Beyond academia, he played a critical role as a Corporate Auditor at Shiraishi Kogyo Kaisha 🏛️, bridging the gap between research excellence and industry needs. His career reflects a seamless integration of teaching, pioneering research, and practical industrial collaboration 🔧. His collaborations with multinational institutes and corporations demonstrate his ability to adapt science into tangible societal advancements. Dr. Osaka’s professional voyage stands as a remarkable testament to passion, perseverance, and the profound impact of interdisciplinary synergy 🎯.

Research Interest 🔍

Dr. Akiyoshi Osaka’s research passions sparkle across a dazzling array of cutting-edge fields 🌟. His foremost interests lie in bioceramics 🦴, biomaterials, nanoparticle synthesis, and sol-gel technology ⚙️, 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 ❤️. His work delves into nano-structuring surfaces to enhance biological performance, offering groundbreaking prospects for regenerative medicine 🏥. Driven by a desire to translate fundamental science into clinical miracles, Dr. Osaka’s studies blend chemical precision with biomedical vision 🔥. His investigations into bioresorbable materials and drug-delivery systems position him at the vanguard of healthcare innovation 🚑. Always curious, always evolving, his interdisciplinary explorations knit together chemistry, physics, biology, and engineering 🎯. Through tireless research and creative vision, Dr. Osaka continues to shape the materials that shape the future 🌐.

Awards and Honors 🏅

Dr. Akiyoshi Osaka’s illustrious career has been festooned with numerous accolades 🌟. Among his most distinguished honors is the prestigious Ceramic Society of Japan Award 🏅, celebrating his pioneering advancements in ceramics and biomaterials. Recognized internationally, he has been invited as a keynote speaker 🗣️ at many global scientific summits, reflecting the profound respect he commands within the academic community 🌍. His recognition extends beyond academic circles to the industrial sector, acknowledging his impactful innovations 💡. Dr. Osaka’s honors are not merely decorative but symbolic of decades of dedication, creativity, and leadership 🎖️. His commitment to scientific excellence has earned him fellowships, leadership roles, and widespread admiration from colleagues and students alike 🙌. Each award he has received stands as a beacon 🔥, illuminating his role in pushing scientific frontiers and inspiring countless young researchers to pursue excellence without borders 🚀.

Conclusion ✨

Dr. Akiyoshi Osaka emerges as a luminous beacon 🔥 in the realms of ceramics, biomaterials, and nanotechnology. His journey from Kyoto University’s academic halls 🎓 to global lecture platforms 🌍 epitomizes relentless intellectual pursuit and transformative innovation. With an unshakable foundation in scientific rigor ⚡, he has woven a legacy that seamlessly blends research, mentorship, and industry leadership 🤝. His vision — to harmonize materials with living systems — continues to reshape modern medicine and materials science 🏥🔬. Whether in the classroom, laboratory, or corporate boardroom, Dr. Osaka leaves an indelible mark of excellence 🌟. His career, brimming with passion, discovery, and mentorship, not only elevates the scientific community but also charts new pathways for future generations 🚀. 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 🌟.

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 📚
Source: Key Engineering Materials 🔬🧪

Title: Crystallisation Studies of Biodegradable CaO-P₂O₅ Glass with MgO and TiO₂ for Bone Regeneration Applications
Authors: A.G. Dias, K. Tsuru, S. Hayakawa, M.A. Lopes, J.D. Santos, A. Osaka
Year: 2004
Citations: 20 📚
Source: Glass Technology 🦴🧬

Title: Failure of Theoretically Predicting Glass Structure from Composition
Authors: A. Osaka, S. Hayakawa, K. Tsuru
Year: 2004
Citations: 10 📚
Source: Physics and Chemistry of Glasses 🧪🔍

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 🏥🧬

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 📚
Source: International Journal of Applied Ceramic Technology 🔬🧪

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 📑
Source: Advanced Healthcare Materials 💉🔬

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 🧪💊

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 📖
Source: Journal of the American Ceramic Society 🏺🧬

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 📈
Source: Applied Materials Today 🛠️💡

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 📑
Source: Journal of Materials Research and Technology ⚙️🧪

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 🌍🔋

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 📚
Source: Journal of Clinical Rehabilitative Tissue Engineering Research 💪🦴

Shunli Wang | Mathematical Modeling | Lifetime Achievement Award

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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 🔋, serving as Executive Vice President of the Smart Energy Storage Research Institute and Academic Dean at Inner Mongolia University of Technology 🎓. A Fellow of the Institution of Engineering and Technology (IET) and an academician of the Russian Academy of Natural Sciences 🌍, he ranks among the world’s top 2% scientists according to Stanford University 📊. Dr. Wang has authored over 258 SCI-indexed papers 📚, secured 63 patents and standards ⚙️, and directed 56 significant national and international research projects 🧪. His pioneering work in battery modeling, fault diagnosis, and intelligent control has shaped the future of smart grid applications and energy storage technologies 🚀. Renowned for bridging academia and industry, he has led transformative collaborations and cultivated top-tier talent 👨‍🏫. Dr. Wang’s contributions are driving global progress toward sustainable, intelligent energy solutions 🌱🌐.

Professional Profile

Google Scholar
Scopus Profile
ORCID Profile

Education 🎓📘

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 🌟. Dr. Wang’s academic journey included postdoctoral research and collaborative projects with globally renowned institutions, further enriching his interdisciplinary knowledge base 🧠. His education not only equipped him with advanced technical skills but also ignited his passion for sustainable energy systems and automation ⚙️. 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 🔬. Dr. Wang’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 🌐.

Professional Experience 🏢🧑‍🏫

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 🏫. Previously, he held pivotal roles in major research institutions and high-tech enterprises, leading teams on energy storage, intelligent control, and fault diagnosis projects 🔋. His career highlights include directing 56 national and international research projects and mentoring hundreds of graduate students 👨‍🎓👩‍🎓. As a respected academician of the Russian Academy of Natural Sciences and IET Fellow 🌍, 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 ⚡. His professional journey exemplifies versatility, vision, and dedication, placing him at the forefront of global advancements in energy and automation technologies 🚀.

Research Interests 🔬⚡

Professor Dr. Shunli Wang’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 🔋🧠. He has developed innovative algorithms for real-time system optimization, helping to improve the reliability, safety, and efficiency of large-scale energy infrastructures 🌐. Dr. Wang’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 🤖📡. 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 🌱. His research is a powerful catalyst for a cleaner, smarter, and more connected energy future 💡.

Awards and Honors 🏅🎖

Dr. Shunli Wang’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 📈. 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 🌍. Dr. Wang has received multiple national science and technology awards, innovation prizes, and academic leadership honors 🏆. His patents and publications have been widely cited, further solidifying his status as a thought leader in smart energy and control systems ⚙️📘. 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 🌐✨.

Conclusion 🌟📌

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 contributions—from education and groundbreaking research to international collaborations and mentorship—have profoundly shaped the global energy landscape 🔋🌍. 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 ⚡🤖. His legacy is built on innovation, impact, and integrity, serving as an inspiration to scholars, engineers, and policymakers worldwide 🧑‍🎓🌱. As the world navigates the complexities of energy transition and climate resilience, thought leaders like Dr. Wang are lighting the path forward—empowering new generations to innovate boldly and act wisely 🌟🚀. His story is not only one of personal achievement but also of global significance in shaping a smarter, greener future for all 💡🌐.

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 ⚡🔋

    • 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 🚗🔋

    • 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 💡🔋

    • 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 ✈️🔋

    • 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 ❄️🔋

    • 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 🔋💡

    • 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 🧠🔋

    • 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 📊🔋

    • 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 🔋💡

    • 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 ⚡❄️

    • 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 🔋🔮

    • 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 ⚡🔋

    • 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., Schäpke N., Caniglia G., Hodgson A., Kendrick I., Lyon C., Page G.

  • Year: 2020

  • Citations: 306

  • Source: Energy Research & Social Science 🌍🌱

    • Future sustainability through knowledge system transformations.

 

Slobodanka Galovic | Mathematical Modeling | Best Researcher Award

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Dr. Slobodanka Galovic | Mathematical Modeling | Best Researcher Award

Professor of Research at Vinca Institute of Nuclear Sciences-National Institute of the Republic of Serbia, Belgrade University, Serbia

Slobodanka Galovic is a Full Professor of Research at the Vinca Institute of Nuclear Sciences, part of the National Institute of Nuclear Sciences in the Republic of Serbia. With extensive expertise in applied mathematics, set theory, and mathematical modeling, she has made significant contributions to her field through both independent and collaborative research. As a senior academic leader, she plays a crucial role in mentoring and guiding graduate students and researchers, further fostering scientific growth within her institution. Her work has earned recognition within the academic community, especially in the areas of theoretical and applied mathematics. Professor Galovic’s position at a renowned research institution showcases her leadership and influence in advancing mathematical sciences. Her research, though focused primarily in academia, could benefit from increased international collaboration and broader industry engagement to enhance the practical application of her work. Nonetheless, her academic accomplishments make her an outstanding candidate for prestigious awards in research.

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Education:

Slobodanka Galovic holds an extensive academic background, having earned a doctoral degree in a specialized field from a renowned institution. Her academic journey showcases a strong foundation in nuclear sciences, where she focused on advancing knowledge through rigorous research. Galovic’s education has been instrumental in shaping her understanding of complex scientific concepts and methodologies. She has also attended numerous workshops and training sessions, continuously enhancing her expertise in applied physics and nuclear sciences. Her dedication to lifelong learning has enabled her to contribute significantly to her field and mentor aspiring researchers with precision and clarity.

Professional Experience:

Professor Slobodanka Galovic brings over several years of professional experience to her role at the Vinca Institute of Nuclear Sciences. As a Full Professor of Research, she has been pivotal in leading groundbreaking research in nuclear sciences, mentoring young researchers, and developing academic programs. Her expertise spans multiple areas of nuclear research, with her collaborative and leadership skills enhancing the institute’s academic reputation. Through her work, she has made invaluable contributions to both national and international scientific communities.

Research Interest:

Professor Galovic’s primary research interest lies in nuclear science, particularly in applied nuclear physics, radiation protection, and quantum mechanics. Her innovative work includes exploring the intersection of these disciplines with real-world applications in industries such as energy, healthcare, and environmental protection. By focusing on advancing our understanding of nuclear materials, radiation interactions, and developing new technologies for improved safety, Galovic has contributed to the development of novel methodologies that hold practical implications. Her research not only pushes the boundaries of science but also addresses significant global challenges.

Awards and Honors:

Throughout her illustrious career, Professor Slobodanka Galovic has been the recipient of various prestigious awards and honors in recognition of her outstanding contributions to nuclear sciences. Her work in both research and academia has earned her a place among leading scientists, with accolades that affirm her influence and impact. Her research-driven approach to solving complex scientific problems has led to widespread recognition at national and international levels. Galovic’s ability to publish high-impact research has made her a respected figure in the global scientific community.

Conclusion:

Professor Slobodanka Galovic’s professional journey exemplifies exceptional leadership in the field of nuclear sciences. With an established academic background, a rich research portfolio, and a strong commitment to pushing the frontiers of science, Galovic has undoubtedly made a lasting impact on both her field and the students she mentors. Her work continues to inspire and shape the future of scientific inquiry. As a dedicated and passionate academic, her contributions will undoubtedly remain influential for years to come.

Publications Top Noted:

  • Title: Photothermal wave propagation in media with thermal memory
    Authors: S Galović, D Kostoski
    Year: 2003
    Citations: 112
    Source: Journal of Applied Physics, 93 (5), 3063-3070

  • Title: Crystallinity changes and melting behavior of the uniaxially oriented iPP exposed to high doses of gamma radiation
    Authors: Z Stojanović, Z Kačarević-Popović, S Galović, D Miličević, E Suljovrujić
    Year: 2005
    Citations: 76
    Source: Polymer Degradation and Stability, 87 (2), 279-286

  • Title: Thermal and crystallization behaviour of gamma irradiated PLLA
    Authors: D Milicevic, S Trifunovic, S Galovic, E Suljovrujic
    Year: 2007
    Citations: 63
    Source: Radiation Physics and Chemistry, 76 (8-9), 1376-1380

  • Title: Photoacoustic signal and noise analysis for Si thin plate: Signal correction in frequency domain
    Authors: DD Markushev, MD Rabasović, DM Todorović, S Galović, SE Bialkowski
    Year: 2015
    Citations: 53
    Source: Review of Scientific Instruments, 86 (3)

  • Title: Theory of photoacoustic effect in media with thermal memory
    Authors: S Galović, Z Šoškić, M Popović, D Čevizović, Z Stojanović
    Year: 2014
    Citations: 46
    Source: Journal of Applied Physics, 116 (2)

  • Title: Effect of the absorption coefficient of aluminium plates on their thermoelastic bending in photoacoustic experiments
    Authors: DD Markushev, J Ordonez-Miranda, MD Rabasović, S Galović, …
    Year: 2015
    Citations: 45
    Source: Journal of Applied Physics, 117 (24)

  • Title: Helmholtz resonances in photoacoustic experiment with laser-sintered polyamide including thermal memory of samples
    Authors: MN Popovic, MV Nesic, S Ciric-Kostic, M Zivanov, DD Markushev, …
    Year: 2016
    Citations: 36
    Source: International Journal of Thermophysics, 37, 1-9

  • Title: Photothermal thermoelastic bending for media with thermal memory
    Authors: M Nesic, S Galovic, Z Soskic, M Popovic, DM Todorovic
    Year: 2012
    Citations: 33
    Source: International Journal of Thermophysics, 33, 2203-2209

  • Title: Conduction of heat in inhomogeneous solids
    Authors: MD Dramićanin, ZD Ristovski, V Djoković, S Galović
    Year: 1998
    Citations: 32
    Source: Applied Physics Letters, 73 (3), 321-323

  • Title: Effects of the photogenerated excess carriers on the thermal and elastic properties of n-type silicon excited with a modulated light source: Theoretical analysis
    Authors: DK Markushev, DD Markushev, S Aleksić, DS Pantić, S Galović, …
    Year: 2019
    Citations: 29
    Source: Journal of Applied Physics, 126 (18)

  • Title: Influence of thermal memory on thermal piston model of photoacoustic response
    Authors: DD Markushev, MD Rabasović, M Nesic, M Popovic, S Galovic
    Year: 2012
    Citations: 29
    Source: International Journal of Thermophysics, 33, 2210-2216

  • Title: Photoacoustic response of a transmission photoacoustic configuration for two-layer samples with thermal memory
    Authors: MN Popovic, MV Nesic, M Zivanov, DD Markushev, SP Galovic
    Year: 2018
    Citations: 28
    Source: Optical and Quantum Electronics, 50, 1-10

  • Title: An extension to the methodology for characterization of thermal properties of thin solid samples by photoacoustic techniques
    Authors: Z Šoškić, S Ćirić-Kostić, S Galović
    Year: 2016
    Citations: 27
    Source: International Journal of Thermal Sciences, 109, 217-230

  • Title: Computationally intelligent description of a photoacoustic detector
    Authors: MI Jordovic-Pavlovic, AD Kupusinac, KL Djordjevic, KL Galovic, …
    Year: 2020
    Citations: 24
    Source: Optical and Quantum Electronics, 52, 1-14

  • Title: Influence of orientation and irradiation on stress relaxation of linear low-density polyethylene (LLDPE): a two-process model
    Authors: V Djokovic, D Kostoski, S Galovic, MD Dramicanin, Z Kacarevic-Popovic
    Year: 1999
    Citations: 24
    Source: Polymer, 40 (10), 2631-2637

  • Title: Optically induced temperature variations in a two-layer volume absorber including thermal memory effects
    Authors: MN Popovic, DD Markushev, MV Nesic, MI Jordovic-Pavlovic, SP Galovic
    Year: 2021
    Citations: 23
    Source: Journal of Applied Physics, 129 (1)

  • Title: Experimental photoacoustic observation of the photogenerated excess carrier influence on the thermoelastic response of n-type silicon
    Authors: DK Markushev, DD Markushev, SM Aleksić, DS Pantić, SP Galović, …
    Year: 2020
    Citations: 23
    Source: Journal of Applied Physics, 128 (9)

  • Title: Nature of the vibron self-trapped states in hydrogen-bonded macromolecular chains
    Authors: D Čevizović, S Galović, Z Ivić
    Year: 2011
    Citations: 22
    Source: Physical Review E—Statistical, Nonlinear, and Soft Matter Physics, 84 (1)

  • Title: Analysis of photothermal response of thin solid films by analogy with passive linear electric networks
    Authors: SP Galović, ZN Šoškić, MN Popović
    Year: 2009
    Citations: 22
    Source: Thermal Science, 13 (4), 129-142

  • Title: Influence of data scaling and normalization on overall neural network performances in photoacoustics
    Authors: КL Djordjević, MI Jordović-Pavlović, ŽM Ćojbašić, SP Galović, …
    Year: 2022
    Citations: 21
    Source: Optical and Quantum Electronics, 54 (8), 501