Haolin Huang | Energy Storage Research | Best Researcher Award

Mr. Haolin Huang | Energy Storage Research | Best Researcher Award

Haolin Huang is a dedicated graduate student at Foshan University, focusing on the safety of energy storage systems. With a passion for innovation and applied research, he has made notable contributions through participation in three major research projects and authorship of two SCI-indexed papers. Haolin holds two patents related to battery system safety and has developed advanced diagnostic techniques to enhance the reliability of energy storage technologies. His interdisciplinary expertise spans battery health modeling, stochastic system analysis, and AI-driven prediction models. Through his work, he demonstrates a commitment to solving critical challenges in the energy sector, particularly those concerning safety and system degradation. Haolin’s academic journey is marked by curiosity, precision, and a vision to contribute impactful solutions to sustainable energy storage. His research not only reflects technical depth but also a forward-looking approach that aligns with global priorities for clean and secure energy systems.

Profile

🎓 Education

Haolin Huang is currently pursuing his graduate studies at Foshan University, specializing in energy storage system safety. His academic focus is rooted in electrical and energy engineering disciplines, with a strong emphasis on lithium-ion battery systems, degradation modeling, and predictive maintenance. During his graduate studies, he gained extensive theoretical and practical training in battery diagnostics, data-driven safety modeling, and system simulation techniques. In addition to coursework, Haolin has undertaken independent study and collaborative research, particularly within the framework of safety-critical systems. His academic training has empowered him to work on advanced research projects involving stochastic modeling and hybrid AI algorithms. This educational background has equipped him with a comprehensive understanding of both the scientific and engineering principles needed to address the emerging challenges in energy storage systems. Haolin’s academic performance and research initiative reflect a deep commitment to advancing reliable and safe energy technologies in both academic and industrial contexts.

🧪 Experience

Haolin Huang has actively contributed to three significant research projects during his graduate studies at Foshan University, all centered around the reliability and safety of energy storage systems. His hands-on experience includes developing diagnostic algorithms for battery health, analyzing degradation mechanisms, and applying artificial intelligence for predictive maintenance. He was instrumental in designing a lithium battery State-of-Health (SOH) interval-prediction method, showcasing his ability to merge theory with real-world applications. Haolin has also co-authored two peer-reviewed SCI journal articles and holds two patents related to system safety enhancement. His collaborative work with faculty and research teams reflects strong problem-solving skills, technical competence, and scientific rigor. In addition to academic projects, he has been involved in consultancy-level industrial studies, emphasizing practical implementation of his research findings. His experience spans simulation modeling, algorithm development, and performance evaluation of complex electrochemical systems, laying a robust foundation for a future career in sustainable energy technologies.

🏅 Awards and Honors

Although early in his academic career, Haolin Huang has already achieved commendable milestones that reflect his dedication and innovative mindset. He holds two patents focused on the safety and reliability of lithium-ion energy storage systems. These patents underscore his contributions to practical advancements in battery health diagnostics and predictive maintenance. Additionally, he has published two SCI-indexed journal articles in reputable international journals, gaining recognition in the academic community for his methodological innovation and technical insight. Haolin’s involvement in three major research projects has further solidified his reputation as a promising young researcher in the energy sector. While he has not yet received formal awards or fellowships, his intellectual contributions, commitment to research excellence, and practical achievements through patents and publications position him as a strong candidate for prestigious accolades such as the Best Researcher Award. These accomplishments illustrate his potential to become a leader in energy system innovation.

🔬 Research Focus

Haolin Huang’s research centers on the safety, reliability, and diagnostic modeling of energy storage systems, particularly lithium-ion batteries. He addresses critical issues in the energy sector by developing techniques for early detection of battery degradation and system failures. One of his key contributions is a novel SOH (State-of-Health) interval prediction framework that uses stochastic differential equations to model degradation uncertainty. He also implemented a TSKANMixer network—an advanced AI architecture—optimized via a chaos-empowered evolutionary algorithm, which captures nonlinear and long-term degradation trends. His research offers significant improvements over traditional point-prediction methods, providing reliable safety margins and actionable maintenance insights. Haolin’s work bridges theoretical modeling and practical application, enabling predictive diagnostics for safer energy systems. His interdisciplinary approach integrates machine learning, system modeling, and electrochemical analysis, contributing to the next generation of intelligent energy storage technologies and addressing safety challenges in renewable energy and electric mobility sectors.

Conclusion

Haolin Huang is a highly motivated young researcher with a deep commitment to energy storage safety, contributing innovative diagnostic models and AI-based predictive tools that enhance reliability, secure early fault detection, and promote sustainable system performance.

Publications

  • Real-world data-driven charging strategies for incorporating health awareness in electric buses

    Journal of Energy Storage
    2024 | Journal article
    EID:  2-s2.0-85194401201
    Part ofISSN: 2352152X
    CONTRIBUTORS: Li, T.; Zhang, W.; Huang, G.; He, H.; Xie, Y.; Liu, G.; Zhu, T.
  • Assessment Method for Health State of Li-Ion Batteries Based on Sparrow Search Algorithm,基于麻雀优化算法的锂电池健康状态估计方法

    Southern Energy Construction
    2023 | Journal article
    EID:  2-s2.0-85181896337
    Part ofISSN: 20958676
    CONTRIBUTORS: Wang, C.; Chen, Q.; Gu, X.; Jiang, H.; Guo, F.; Huang, G.; Zhu, S.
  • Data-driven state of health estimation in retired battery based on low and medium-frequency electrochemical impedance spectroscopy

    Measurement Journal of the International Measurement Confederation
    2023 | Journal article
    EID:  2-s2.0-85148325461
    Part of ISSN: 02632241
    CONTRIBUTORS: Zhang, W.; Li, T.; Ouyang, N.; Huang, G.; Wu, W.

 

 

 

 

 

 

Ejaz Ahmad Khera | Materials Simulation | Best Researcher Award

Dr. Ejaz Ahmad Khera | Materials Simulation | Best Researcher Award


Dr. Ejaz Ahmad Khera is an Assistant Professor of Physics at The Islamia University of Bahawalpur, Pakistan, and an HEC-approved supervisor with a PhD in the characterization of materials for memory storage and neuromorphic applications using DFT. He has published over 30 high-impact international research articles and currently leads research at the Materials Modeling and Simulation Lab, where he supervises MPhil and PhD students. His group is actively involved in developing efficient double perovskites for solar cell applications. In addition to his academic and research roles, Dr. Khera contributes to departmental administrative functions and has participated in multiple international conferences in physics and materials science. He is proficient in VASP, Wien2k, CASTEP, and other computational tools, reflecting his strong background in computational materials physics.

Profile

Education 🎓

Dr. Khera earned his PhD in Physics from The Islamia University of Bahawalpur (2016–2021), focusing on DFT-based characterization of materials for neuromorphic and memory applications. He holds an MPhil in Physics from Allama Iqbal Open University, Islamabad (2012–2014), and a Master of Science in Physics from Bahauddin Zakariya University, Multan (2007–2010). His academic foundation combines theoretical physics, computational modeling, and practical understanding of solid-state and condensed matter systems. He is trained in multiple simulation platforms including VASP, Wein2k, and CASTEP, and has built expertise in data analysis software like Origin and visualization tools like VESTA and Crystal Maker. His solid academic training has enabled him to mentor graduate students in computational material science and renewable energy research domains. Dr. Khera has also enhanced his academic exposure through participation in pedagogical and research methodology training programs.

Experience 👨‍🏫

Dr. Khera is currently serving as Assistant Professor of Physics at The Islamia University of Bahawalpur since March 2022, where he teaches undergraduate and postgraduate courses, leads research, and manages academic administration. From 2019 to 2021, he was a visiting lecturer at University of Education, Multan Campus, and previously taught physics at Admire Group of Colleges (2017–2021), Muslim Group of Colleges (2013–2017), and Educators Group of Colleges (2011–2013), focusing on undergraduate and higher secondary education. Over a decade of teaching experience has honed his expertise in delivering core physics concepts and mentoring students. In his academic tenure, Dr. Khera has also built research collaborations and guided MPhil and PhD students in materials modeling. His responsibilities have included curriculum design, academic planning, and seminar coordination. He is deeply engaged in academic development through active participation in physics conferences and workshops.

Awards & Recognitions 🏅

Dr. Khera received the Prime Minister Youth Laptop Scheme award from the Federal Government of Pakistan in 2018, recognizing his academic excellence and contribution to higher education. He was also granted the Punjab Government Scholarship under the Fee Reimbursement Scheme for Higher Education in 2017, awarded by the Government of Punjab. These honors reflect his academic merit, commitment to research, and service in the field of physics education. He has participated in multiple international and national-level conferences, including events hosted by The Islamia University of Bahawalpur and The Women University Multan. His consistent performance in academics and his role in teaching and research supervision have earned him institutional recognition. Additionally, his HEC-approved supervisor status further signifies his qualification and leadership in guiding advanced research projects in Pakistan. These accolades support his active involvement in national education development and scientific advancement in materials science.

Research Interests 🔬

Dr. Khera’s research is centered on computational materials science with a focus on density functional theory (DFT)-based investigations of electronic, optical, thermoelectric, and structural properties of novel materials. His primary interest lies in characterizing double perovskites (DPs), Heusler alloys, and vacancy-ordered compounds for use in solar cells, memory storage, brain-inspired neuromorphic systems, and energy harvesting applications. Using simulation tools like VASP, CASTEP, and Wien2k, he studies materials such as Ga₂PtX₆, Li₂ATlCl₆, and Na₂PtX₆ for their optoelectronic and thermoelectric performance. His recent publications explore halogen modification, spin polarization, and hybrid perovskites for sustainable technologies. His research group actively contributes to discovering lead-free, high-efficiency materials that align with global goals for clean and renewable energy. Dr. Khera also collaborates internationally, co-authoring papers with scientists across Asia and Europe, thereby advancing the field of computational physics and sustainable material development.

Publications

 

  • Probing the opto-electronic, thermoelectric, thermodynamic and elastic responses
    of lead-free double perovskite Li2ATlCl6 (A= Na and K) for potential photovoltaic
    and high-energy applications: A DFT study
    Reference: Qiguo Xiao, Abrar Nazir, Ejaz Ahmad Khera, Mumtaz Manzoor, Ramesh
    Sharma, Javed Rahman, Sabah Ansar, Farooq Ali
    Link: https://www.sciencedirect.com/science/article/pii/S0921510724006895

 

  • First principles investigation of structural, electronic, optical, transport properties
    of double perovskites X2TaTbO6 (X= Ca, Sr, Ba) for optoelectronic and energy
    harvesting applications
    Reference: Mudassir Ishfaq, Muniba Urooj, Muhammad Sajid, Khawar Ismail, Rimsha
    Baqeel, Ejaz Ahmad Khera, Rajwali Khan, Sattam Al Otaibi, Khaled Althubeiti, Hassan Ali,
    Ghulam Murtaza, Muhammad Jamil
    Link: https://www.sciencedirect.com/science/article/pii/S0022369724005675