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

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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.

Professional Profile:

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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