Mr. Zhi-Wei Zhang | Vibration Energy Harvesting | Best Researcher Award

Mr. Zhi-Wei Zhang | Vibration Energy Harvesting | Best Researcher Award 

Mr. Zhi-Wei Zhang | Vibration Energy Harvesting | Beijing Forestry University | China

Mr. Zhi-Wei Zhang is a distinguished researcher and faculty member at Beijing Forestry University, China, with extensive expertise in structural engineering, material mechanics, seismic metamaterials, and innovative concrete structures. He obtained his Ph.D. in Civil Engineering and has developed a strong academic and professional career combining rigorous theoretical research with practical experimentation. Mr. Zhang has accumulated significant professional experience through his involvement in national and international research projects, where he has collaborated with leading institutions to advance knowledge in earthquake-resilient construction, multifunctional building materials, and adaptive structural systems. His research interests focus on structural innovation, seismic metamaterials, multifunctional concrete sandwich shells, dynamic load response, and sustainable construction materials, reflecting a commitment to addressing real-world engineering challenges. He demonstrates exceptional research skills, including numerical modeling, experimental mechanics, structural analysis, computational simulation, and material characterization, enabling him to translate complex theoretical concepts into applicable engineering solutions. Mr. Zhang’s scholarly contributions are evidenced by over 26 peer-reviewed publications, with a cumulative citation count of 535 and an h-index of 11, underscoring his influence and impact in the field. His work has been recognized for advancing understanding in structural vibration mitigation, material optimization, and seismic safety, and he has actively contributed to academic mentoring, student guidance, and interdisciplinary collaborations, highlighting his leadership and commitment to nurturing emerging researchers. He has participated in professional forums, workshops, and collaborative platforms to disseminate knowledge and promote best practices in engineering design and materials science. While already accomplished, Mr. Zhang has opportunities to further enhance his impact by increasing publications in top-tier journals, expanding international collaborations, and participating in keynote lectures and editorial boards, which would amplify his global research visibility. In conclusion, Mr. Zhang, Zhiwei is highly deserving of recognition due to his substantial contributions to civil engineering research, structural innovation, and sustainable construction practices.

Professional Profile: Scopus

Selected Publications

  1. Zhang, Z., et al. (2025). Seismic metamaterials as foundations for buildings subjected to incident plane and bending waves: Simulation and experiment. Engineering Structures.

  2. Zhang, Z., et al. (2025). Flexural behavior of innovative multifunctional concrete sandwich shells with different types of connectors. Structural Concrete.

Dr. Hemavathi S | Battery Thermal Sensors | Best Researcher Award

Dr. Hemavathi S | Battery Thermal Sensors | Best Researcher Award

Dr. Hemavathi S, CSIR-Central Electrochemical Research Institute, India

Dr. Hemavathi S is a Senior Scientist at the Central Electrochemical Research Institute (CECRI) – Madras Unit, Chennai, India. She holds a Ph.D. in Engineering Sciences (Energy Science and Technology) from the Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, awarded in 2024. She also earned her Master of Engineering in Power System Engineering from Annamalai University, Tamil Nadu, in 2014, and a Bachelor of Engineering in Electrical and Electronics Engineering from Anna University of Technology, Tiruchirappalli, in 2012. With extensive experience in battery modeling, energy storage, and electric vehicle applications, Dr. Hemavathi specializes in the design and development of Battery Management Systems (BMS) and Battery Thermal Management Systems (BTMS), focusing on Li-ion and Redox flow batteries. Her expertise includes battery pack testing, microgrid short-circuit studies, and hybrid energy generation. She has held various roles, including Scientist at CECRI, Assistant Professor at CSIR-AcSIR, Project Associate at Central Power Research Institute, and Electrical Engineer in multiple industries. Her research and contributions significantly impact energy storage and electric vehicle advancements.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award – Dr. Hemavathi S

Dr. Hemavathi S is a highly deserving candidate for the Best Researcher Award, given her outstanding contributions to energy storage systems, battery technologies, and electrochemical research. Her extensive expertise, academic excellence, and impactful research in battery management, energy storage, and electric vehicle technologies position her as a leader in her field.

📚 Academic Profile:

🎓 Ph.D. in Engineering Sciences (Energy Science and Technology) – Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh, 2024.
🎓 M.E. in Power System Engineering – Annamalai University, Chidambaram, Tamil Nadu, 2014.
🎓 B.E. in Electrical and Electronics Engineering – Anna University of Technology, Tiruchirappalli, Tamil Nadu, 2012.

💼 Employment & Career:

🔬 Senior Scientist – CSIR-Central Electrochemical Research Institute (CECRI), Madras Unit, Chennai (July 2023 – Present).
🎓 Assistant Professor – Academy of Scientific and Innovative Research (CSIR-AcSIR) (Sep 2019 – Present).
🔬 Scientist – CSIR-CECRI, Madras Unit, Chennai (July 2018 – July 2023).
Project Associate – Central Power Research Institute, Bangalore (Sep 2017 – July 2018).
⚙️ Electrical Engineer – Yashika Industries, Chennai (Feb 2017 – Sep 2017).
⚙️ Electrical Engineer – Santriya Technologies, Chennai (Nov 2015 – Feb 2017).
🎓 Assistant Professor – Karpaga Vinayaga College of Engineering & Technology, Chennai (June 2014 – Nov 2015).

🔬 Area of Expertise:

⚡ Battery modeling and energy storage for EV applications.
🔋 Battery Management System (BMS) for Li-ion & Redox Flow Batteries.
🌡️ Battery Thermal Management Systems (BTMS) using immersion cooling, PCM, and CFD.
🔍 Battery pack testing & compliance with industry standards.
🔌 PV-connected Li-ion Battery Energy Storage Systems (BESS) and microgrid studies.
🚗 Electric Vehicle (EV) and hybrid energy storage systems.

🏆 Achievements, Awards & Honors:

🌟 Recognized contributions in battery technology & energy storage.
🏅 Key role in advanced BMS & BTMS research for sustainable energy solutions.
📜 Published research in high-impact journals & conferences.
🔬 Leading scientist in electrochemical research & EV battery advancements.

Dr. Hemavathi S is a distinguished researcher in battery and energy storage systems, contributing significantly to sustainable power solutions! 🚀

Publication Top Notes:

Synthetic ester-based forced flow immersion cooling technique for fast discharging lithium-ion battery packs

Optimization of Lithium-ion battery thermal performance using dielectric fluid immersion cooling technique

Development and optimization of Si/Zr/C nano-composites

Elnaz Yaghoubi | power system analysis | Best Researcher Award

Elnaz Yaghoubi | Power System Analysis | Best Researcher Award

Dr. Elnaz Yaghoubi, karabuk university, Turkey.

Elnaz Yaghoubi is a dedicated Ph.D. candidate in Electronic and Electrical Engineering at Karabuk University, Turkey, boasting a stellar GPA of 4.0. Her research specializes in power system analysis, microgrids, and renewable energy. Elnaz holds an M.Sc. in Electrical Engineering from Islamic Azad University, also achieving a perfect GPA. She has worked as an engineering expert at Iran’s Telecommunication Company and is an active member of the PEDAR research group, contributing to innovative projects in smart grid technology. With a passion for advancing energy solutions, Elnaz is a rising star in her field. 🌟📚⚡

Professional Profile:

Googlescholar

Education and Experience:

  • Ph.D. in Electronic and Electrical Engineering
    Karabuk University, Turkey (2021-Present)
    Thesis: Techno-economical reliable energy management of smart microgrids
    GPA: 4.0 🎓
  • M.Sc. in Electrical Engineering
    Islamic Azad University, Qaemshahr, Iran (2016-2018)
    Thesis: New topology based on clustering for network on chip
    GPA: 4.0 🎓
  • B.Sc. in Electrical Engineering
    Aryan Institute of Science and Technology, Iran (2012-2014)
    GPA: 4.0 🎓
  • Associate’s Degree in Electrical Engineering
    University College of Rouzbahan, Iran (2010-2012)
    GPA: 4.0 🎓
  • Principle Researcher
    PEDAR Group (2023-Present) 🧑‍🔬
  • Expert in Traffic Monitoring and Data Support
    Telecommunication Company, Iran (2017-2021) 📊
  • Data Network Design
    Telecommunication Company, Iran (2015-2017) 🔌

 

Suitability for Best Researcher Award:

Dr. Elnaz Yaghoubi is an exemplary candidate for the Best Researcher Award in the field of Electronic and Electrical Engineering due to her academic excellence, impactful research contributions, and professional experience.

Professional Development:

Elnaz Yaghoubi is continually enhancing her skills and expertise through various professional development avenues. She possesses strong programming skills in MATLAB and C++ and is currently expanding her knowledge in Python and Linux Essentials. With experience in machine learning and deep learning techniques, she actively engages in research and development within the PEDAR research group. Her proficiency in software tools like AutoCAD and Proteus, alongside certifications in network and security fundamentals, underlines her commitment to staying at the forefront of technological advancements in power systems. 📈💻🔍

Research Focus:

Elnaz Yaghoubi’s research primarily revolves around power system analysis, focusing on optimizing power management in microgrids and smart grids. She explores renewable energy solutions and the integration of distributed generation methods to enhance energy efficiency. Additionally, Elnaz delves into model predictive control (MPC) for advanced power control strategies, emphasizing cyber security in energy systems. Her work with artificial neural networks and machine learning further supports innovative solutions in the field. Elnaz’s commitment to addressing contemporary energy challenges makes her a pivotal figure in advancing smart energy technologies. 🔋🌍🔧

Awards and Honors:

  • Perfect GPA Award (Karabuk University) 🎖️
  • Outstanding Research Contribution Award (Islamic Azad University) 🏆
  • Best Paper Award (Conference on Renewable Energy Solutions) 📜
  • Excellence in Engineering Award (Telecommunication Company, Iran) 🌟
  • Leadership in Research Award (PEDAR Group) 🏅

Publication top Notes:

  • State-of-the-art review on energy and load forecasting in microgrids using artificial neural networks, machine learning, and deep learning techniques 🌐
    Cited by: 85 | Year: 2023
  • The role of mechanical energy storage systems based on artificial intelligence techniques in future sustainable energy systems 🔋
    Cited by: 15 | Year: 2023
  • Triple-channel glasses-shape nanoplasmonic demultiplexer based on multi nanodisk resonators in MIM waveguide 📡
    Cited by: 12 | Year: 2021
  • Reducing the vulnerability in microgrid power systems ⚡
    Cited by: 11 | Year: 2023
  • Electric vehicles in China, Europe, and the United States: Current trend and market comparison 🚗
    Cited by: 10 | Year: 2024
  • Tunable band-pass plasmonic filter and wavelength triple-channel demultiplexer based on square nanodisk resonator in MIM waveguide 📊
    Cited by: 10 | Year: 2022
  • A systematic review and meta-analysis of machine learning, deep learning, and ensemble learning approaches in predicting EV charging behavior ⚙️
    Cited by: 9 | Year: 2024