Iqbal Ahmad | Applied Mathematics | Best Researcher Award

Dr. Iqbal Ahmad | Applied Mathematics | Best Researcher Award

Assistant Professor at Qassim University, Saudi Arabia

Dr. Iqbal Ahmad ๐ŸŒŸ, an Assistant Professor in Mechanical Engineering at Qassim University ๐Ÿ‡ธ๐Ÿ‡ฆ, is a distinguished scholar with a Ph.D. in Mathematics from Aligarh Muslim University ๐Ÿ‡ฎ๐Ÿ‡ณ. His research brilliance shines in areas like fractals ๐Ÿ”ท, variational inequalities โž•, fixed point theory ๐ŸŽฏ, and optimization ๐Ÿ’ก, blending abstract theory with real-world applications. He has authored 17+ high-impact journal publications ๐Ÿ“š, completed two funded research projects ๐Ÿ”ฌ, and demonstrated excellence in advanced numerical methods and nonlinear functional analysis. Dr. Ahmadโ€™s academic versatility extends to a wide spectrum of mathematical disciplines ๐Ÿง , from complex analysis to engineering mathematics. His MATLAB and LaTeX proficiency ๐Ÿ–ฅ๏ธ enhances his analytical and scholarly output. A recipient of multiple prestigious fellowships and scholarships ๐Ÿ…, he is also a passionate educator, nurturing future scientists with deep mathematical insight and integrity. Dr. Ahmad embodies a rare fusion of academic rigor, innovation, and impactful teaching ๐ŸŽ“๐Ÿ’ผ.

Professional Profileย 

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๐ŸŽ“ Education

Dr. Iqbal Ahmadโ€™s educational journey is a testament to academic excellence and relentless pursuit of knowledge ๐Ÿ“˜. He earned his Ph.D. in Mathematics from the prestigious Aligarh Muslim University ๐Ÿ‡ฎ๐Ÿ‡ณ, where he explored the intricate world of variational inclusions and equilibrium problems under the mentorship of Prof. Rais Ahmad. Preceding this, he completed his M.Sc. in Mathematics with a stellar 83% score, excelling in core subjects such as Functional Analysis, Topology, and Differential Geometry ๐Ÿ“. His academic foundation was laid with a B.Sc. (Hons) in Mathematics and further solidified through consistent first-division results right from his intermediate studies ๐Ÿง . Throughout his academic tenure, he received government-funded scholarships ๐ŸŽ–๏ธ and accolades that highlighted his potential as a scholar deeply rooted in both theory and application. Dr. Ahmadโ€™s education reflects both depth and diversity, forming a robust platform for his future academic and research contributions.

Professional Experience

Dr. Iqbal Ahmad has been serving as an Assistant Professor in the Department of Mechanical Engineering at Qassim University, Saudi Arabia ๐Ÿ‡ธ๐Ÿ‡ฆ, since August 2018. His professional role bridges the disciplines of engineering and mathematics, uniquely positioning him to impart both theoretical and applied knowledge ๐Ÿ“Š. Known for his engaging lectures and student mentorship ๐ŸŽ“, he teaches an extensive array of mathematical subjects ranging from Linear Algebra and PDEs to Complex Analysis and Optimization Theory ๐Ÿ“š. His ability to translate abstract mathematical concepts into practical engineering insights makes him a valuable asset in a multidisciplinary environment ๐Ÿ”ง. Beyond teaching, Dr. Ahmad is actively involved in curriculum development, academic advising, and collaborative research, embodying a holistic educator’s role. His global outlook, combined with his expertise in MATLAB and LaTeX ๐Ÿ’ป, enhances the academic rigor of his teaching and research work alike, reflecting professionalism, versatility, and dedication.

๐Ÿ”ฌ Research Interest

Dr. Ahmadโ€™s research interests are intellectually diverse and technically profound ๐ŸŒ. His primary focus spans fractals ๐Ÿ”ท, iterative processes ๐Ÿ”, fixed-point theory ๐ŸŽฏ, variational inequalities โž•, and nonlinear functional analysis. He delves into generalized variational-like inclusions, exploring their applications in fuzzy environments, Banach spaces, and engineering frameworks. His fascination with mathematical modeling and equilibrium problems intersects with fields such as optimization theory, computational mathematics, and ordered algebraic structures ๐Ÿงฎ. His recent work on Julia sets and transcendental functions using viscosity approximation methods underscores his commitment to pushing boundaries in pure and applied mathematics ๐Ÿ”ญ. Dr. Ahmad’s scholarly contributions are well-reflected in his 17+ peer-reviewed publications, many of which are indexed in SCI/SCIE and Scopus, establishing him as a rising figure in mathematical research ๐Ÿ“–. His work resonates with analytical elegance and applied relevance, advancing theoretical insights and offering real-world utility.

๐Ÿ… Awards and Honors

Dr. Iqbal Ahmad has been recognized repeatedly for his academic prowess and research excellence ๐Ÿ†. He received the UGC-BSR Fellowship for his doctoral research, a competitive grant awarded to promising scholars in India ๐Ÿ‡ฎ๐Ÿ‡ณ. His academic achievements during undergraduate and postgraduate studies were acknowledged through Merit-Cum-Means and other government-sponsored scholarships ๐Ÿช™. Beyond financial accolades, his scholarly stature is cemented by two successfully completed funded research projects at Qassim University, sponsored by the Deanship of Scientific Research ๐Ÿ”ฌ. These projects, focused on generalized vector variational inequalities and fuzzy mappings, not only expanded the frontier of mathematical inclusions but also showcased his leadership as a co-principal investigator ๐Ÿค. These honors reflect both the intellectual merit and practical relevance of his work, distinguishing him as a research-driven academic. Dr. Ahmadโ€™s decorated path is marked by recognition, influence, and a growing impact across mathematical and engineering communities.

โœ… Conclusion

Dr. Iqbal Ahmad exemplifies the ideal profile for the Best Researcher Award ๐Ÿฅ‡โ€”a scholar whose career seamlessly blends theoretical brilliance, research innovation, and educational impact. With a strong foundation in mathematics ๐ŸŽ“, international academic exposure ๐ŸŒ, and a growing body of high-impact publications ๐Ÿ“‘, he continues to enrich the academic landscape through rigorous research and interdisciplinary collaboration. His teaching inspires, his research influences, and his professional ethos uplifts the institutions he serves ๐Ÿ’ผ. Dr. Ahmadโ€™s journey reflects dedication, intellect, and a passion for mathematical inquiry that bridges boundaries between disciplines and continents โœจ. Whether through the lens of fractal geometry or the framework of optimization, his contributions resonate with both depth and originality. As a scholar with demonstrated excellence in both scholarship and service, Dr. Iqbal Ahmad is undoubtedly a deserving candidate for recognition at the highest level in academic and research excellence ๐Ÿ›๏ธ.

Publications Top Notes

  • Graph convergence and generalized Yosida approximation operator with an application
    Authors: R Ahmad, M Ishtyak, M Rahaman, I Ahmad
    Year: 2017
    Citations: 27
    Source: Mathematical Sciences 11, 155-163 ๐Ÿ“š


  • System of Yosida inclusions involving XOR operator
    Authors: I Ahmad, CT Pang, R Ahmad, M Ishtyak
    Year: 2017
    Citations: 27
    Source: Journal of Nonlinear and Convex Analysis 18 (5), 831-845 ๐Ÿ”„



  • On differential equations characterizing Legendrian submanifolds of Sasakian space forms
    Authors: R Ali, F Mofarreh, N Alluhaibi, A Ali, I Ahmad
    Year: 2020
    Citations: 15
    Source: Mathematics 8 (2), 150 ๐Ÿ“


  • Convergence theorems for split equality generalized mixed equilibrium problems for demi-contractive mappings
    Authors: M Rahaman, YC Liou, R Ahmad, I Ahmad
    Year: 2015
    Citations: 14
    Source: Journal of Inequalities and Applications 2015, 1-25 ๐Ÿ“ˆ


  • Validation of Authentic Leadership Questionnaire in Pakistani Context: Evidence from Higher Education Institutions of Khyber Pakhtunkhwa
    Authors: F Akbar, Z Ali, I Ahmad
    Year: 2019
    Citations: 13
    Source: Abasyn University Journal of Social Sciences 12 (1) ๐Ÿ“‘



  • An iterative algorithm for a system of generalized implicit variational inclusions
    Authors: I Ahmad, VN Mishra, R Ahmad, M Rahaman
    Year: 2016
    Citations: 12
    Source: SpringerPlus 5, 1-16 ๐Ÿ”


  • Convergence analysis and stability of perturbed three-step iterative algorithm for generalized mixed ordered quasi-variational inclusion involving XOR operator
    Authors: I Ahmad, M Rahaman, R Ahmad, I Ali
    Year: 2020
    Citations: 11
    Source: Optimization 69 (4), 821-845 ๐Ÿ”„



  • A new resolvent operator approach for solving a general variational inclusion problem involving XOR operation with convergence and stability analysis
    Authors: I Ahmad, CT Pang, R Ahmad, I Ali
    Year: 2020
    Citations: 9
    Source: ๆกƒๅœ’็ธฃ: ๅ…ƒๆ™บๅคงๅญธ่ณ‡่จŠ็ฎก็†ๅญธ็ณป ๐Ÿ“Š


  • Infestation of Meloidogyne enterolobii in newly established/old guava orchards and nurseries in Madhya Pradesh, Rajasthan and Uttar Pradesh
    Authors: M Khan, I Ahmad, KH Kumar, A Singh, PK Shukla
    Year: 2019
    Citations: 7
    Source: Annals of Plant Protection Sciences 27 (1), 170-171 ๐Ÿƒ


  • Relaxed resolvent operator for solving a variational inclusion problem
    Authors: I Ahmad, M Rahaman, R Ahmad
    Year: 2016
    Citations: 7
    Source: Statistics, Optimization & Information Computing 4 (2), 183-193 ๐Ÿ”„


  • Nonlinear ordered variational inclusion problem involving XOR operation with fuzzy mappings
    Authors: I Ahmad, SS Irfan, M Farid, P Shukla
    Year: 2020
    Citations: 6
    Source: Journal of Inequalities and Applications 2020, 1-18 ๐Ÿงฎ



  • Accelerating order of convergence using secant type methods
    Authors: D Jain, R Bhardwaj, I Ahmad
    Year: 2017
    Citations: 4
    Source: Journal of Interdisciplinary Mathematics 20 (2), 417-426 ๐Ÿง‘โ€๐Ÿซ


  • Julia sets of transcendental functions via a viscosity approximation-type iterative method with s-convexity
    Authors: I Ahmad, M Sajid, R Ahmad
    Year: 2024
    Citations: 3
    Source: Statistics, Optimization & Information Computing ๐Ÿ”„



  • Generalized composite vector equilibrium problems
    Authors: I Ahmad, SS Irfan, R Ahmad
    Year: 2017
    Citations: 3
    Source: Bull. Math. Anal. Appl 9 (1), 109-122 ๐Ÿ”„

 

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.

Professional Profile

Google Scholar
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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.