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.

πŸ“š Academic Profile:

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

πŸ’Ό Employment & Career:

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

πŸ”¬ Area of Expertise:

⚑ Battery modeling and energy storage for EV applications.
πŸ”‹ Battery Management System (BMS) for Li-ion & Redox Flow Batteries.
🌑️ Battery Thermal Management Systems (BTMS) using immersion cooling, PCM, and CFD.
πŸ” Battery pack testing & compliance with industry standards.
πŸ”Œ PV-connected Li-ion Battery Energy Storage Systems (BESS) and microgrid studies.
πŸš— Electric Vehicle (EV) and hybrid energy storage systems.

πŸ† Achievements, Awards & Honors:

🌟 Recognized contributions in battery technology & energy storage.
πŸ… Key role in advanced BMS & BTMS research for sustainable energy solutions.
πŸ“œ Published research in high-impact journals & conferences.
πŸ”¬ 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! πŸš€

PublicationΒ 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.Β πŸŒŸπŸ“šβš‘

Professional Profile:

Googlescholar

Education and Experience:

  • Ph.D.Β in Electronic and Electrical Engineering
    Karabuk University, Turkey (2021-Present)
    Thesis: Techno-economical reliable energy management of smart microgrids
    GPA: 4.0Β πŸŽ“
  • M.Sc.Β in Electrical Engineering
    Islamic Azad University, Qaemshahr, Iran (2016-2018)
    Thesis: New topology based on clustering for network on chip
    GPA: 4.0Β πŸŽ“
  • B.Sc.Β in Electrical Engineering
    Aryan Institute of Science and Technology, Iran (2012-2014)
    GPA: 4.0Β πŸŽ“
  • Associate’s DegreeΒ in Electrical Engineering
    University College of Rouzbahan, Iran (2010-2012)
    GPA: 4.0Β πŸŽ“
  • Principle Researcher
    PEDAR Group (2023-Present)Β πŸ§‘β€πŸ”¬
  • Expert in Traffic Monitoring and Data Support
    Telecommunication Company, Iran (2017-2021)Β πŸ“Š
  • Data Network Design
    Telecommunication Company, Iran (2015-2017)Β πŸ”Œ

 

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.Β πŸ“ˆπŸ’»πŸ”

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.Β πŸ”‹πŸŒπŸ”§

Awards and Honors:

  • Perfect GPA AwardΒ (Karabuk University)Β πŸŽ–οΈ
  • Outstanding Research Contribution AwardΒ (Islamic Azad University)Β πŸ†
  • Best Paper AwardΒ (Conference on Renewable Energy Solutions)Β πŸ“œ
  • Excellence in Engineering AwardΒ (Telecommunication Company, Iran) 🌟
  • Leadership in Research AwardΒ (PEDAR Group)Β πŸ…

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:Β 85Β | Year:Β 2023
  • The role of mechanical energy storage systems based on artificial intelligence techniques in future sustainable energy systemsΒ πŸ”‹
    Cited by:Β 15Β | Year:Β 2023
  • Triple-channel glasses-shape nanoplasmonic demultiplexer based on multi nanodisk resonators in MIM waveguideΒ πŸ“‘
    Cited by:Β 12Β | Year:Β 2021
  • Reducing the vulnerability in microgrid power systems ⚑
    Cited by:Β 11Β | Year:Β 2023
  • Electric vehicles in China, Europe, and the United States: Current trend and market comparisonΒ πŸš—
    Cited by:Β 10Β | Year:Β 2024
  • Tunable band-pass plasmonic filter and wavelength triple-channel demultiplexer based on square nanodisk resonator in MIM waveguideΒ πŸ“Š
    Cited by:Β 10Β | Year:Β 2022
  • A systematic review and meta-analysis of machine learning, deep learning, and ensemble learning approaches in predicting EV charging behaviorΒ βš™οΈ
    Cited by:Β 9Β | Year:Β 2024