Prof. Dr. Ying Bai | Power Storage Awards | Best Researcher Award

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Prof. Dr. Ying Bai | Power Storage Awards | Best Researcher Award

Prof. Dr. Ying Bai, Henan University, China

Prof. Dr. Ying Bai is a distinguished academic and scientist specializing in energy storage, with a profound background in solid-state ionics and electrochemistry, she is a second-level professor and doctoral supervisor at Henan University, where she also serves as the Executive Deputy Director of the Henan Provincial Key Laboratory of High-Efficient Energy Conversion Science and Technology. Prof. Bai holds a B.S. in Physics (2002) and an M.S. in Optics (2005) from Henan University, and a Ph.D. from the Institute of Physics, Chinese Academy of Sciences (2008). Her postdoctoral research includes stints at Muenster University, Germany, and Oak Ridge National Lab, USA.

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Summary of Suitability for Best Researcher Award

Prof. Dr. Ying Bai is an exceptionally accomplished researcher whose extensive achievements and contributions make her highly suitable for the Best Researcher Award. Here is a detailed analysis of her credentials

🎓 Education

  • B.S. in Physics – Henan University (1998–2002)
  • M.S. in Optics – Henan University (2002–2005)
  • Ph.D. in Physics – Institute of Physics, Chinese Academy of Sciences (2005–2008)

💼 Work Experience

  • Guest Scientist – Muenster University, Germany (2008–2009)
  • Research Scholar – Oak Ridge National Lab, USA (2014–2015)
  • Associate Professor – Henan University (2008–2015)
  • Professor – Henan University (2016–Present)
  • Distinguished Professor in Henan University (2018–2023)
  • Distinguished Professor in Henan Province (2023–Present)

🌟 Achievements

  1. Fellow of the Royal Society of Chemistry (FRSC) – 2022 🧪
  2. “Young Changjiang Scholar” – Ministry of Education in China, 2024 🎓
  3. Second-Level Professor – 2024 🏅
  4. Special Allowance – Henan Provincial Government, 2024 💰
  5. Henan Outstanding Youth Fund Recipient – 2024 🏆
  6. Distinguished Professor of Henan Province – 2023 🥇
  7. Science and Technology Progress Award – Henan Province, 2021 🧬
  8. High-Level Talent of Henan Province – 2020 🌟
  9. Zhongyuan Thousand Talents Program – 2019 👩‍🔬
  10. Leader for Innovative Research Team – Henan University, 2019 👥

🔬 Research Interests

  1. Solid-state ionics and electrochemistry for energy applications.
  2. Development of new materials and systems for energy conversion and storage (e.g., all-solid-state batteries, lithium and sodium-ion batteries).

Publication Top Notes:

Oxygen vacancy-assisted construction of phosphorus-doped layers to improve the lithium storage performance of T-Nb2O5

Nanoconfined Strategy Optimizing Hard Carbon for Robust Sodium Storage

Halogenated solvation structure and preferred Zn (002) deposition via trace additive towards high reversibility for aqueous zinc-ion batteries

Regulating interfacial behavior via reintegration the Helmholtz layer structure towards ultra-stable and wide-temperature-range aqueous zinc ion batteries

In situ construction T-Nb2O5 nanolayer on porous carbon cloth as Binder-Free anode for Lithium-Ion battery with long cycle life

FeS2/SnS2@C with mosaic-like heterointerface as robust sodium anode

Ms. Feng Wang | Renewable Energy Awards | Best Researcher Award

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Ms. Feng Wang | Renewable Energy Awards | Best Researcher Award 

Ms. Feng Wang, Guilin University of Electronic Technology, China

Wang Feng, is an associate professor and master’s tutor at Guilin University of Electronic Technology. She graduated from Beihang University with a Ph.D. in Engineering in 2018 and also holds a Master’s degree in Materials Physics and Chemistry from Guilin University of Electronic Technology and a Bachelor’s degree in Inorganic Non-Metallic Materials from Wuhan University of Science and Technology. Dr. Wang’s research focuses on high-performance lithium-ion and sodium-ion electrode materials, as well as non-metallic and metal coating interfaces. She has led several significant research projects funded by the National Natural Science Foundation of China, including studies on hydrogen absorption/desorption processes and phase equilibrium in hydrogen storage alloys. Dr. Wang has published numerous articles in prestigious journals, contributing to advancements in materials science and energy storage technologies. As a dedicated researcher and educator, she actively mentors graduate students in her field.

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Summary of Suitability

Wang Feng’s combination of strong academic credentials, extensive research experience, impactful publications, and leadership in research projects position her as an excellent candidate for the Research for Best Researcher Award. Her contributions to the field of materials science, particularly in energy storage and hydrogen storage technologies, are of paramount importance, making her an asset to both academia and industry.

🎓 Education Background

  • Ph.D. in Materials Physics and Chemistry
    Beihang University, 2014/09 – 2018/03
  • Master’s Degree in Materials Physics and Chemistry
    Guilin University of Electronic Science and Technology, 2011/09 – 2014/06
  • Bachelor’s Degree in Inorganic Non-Metallic Materials
    Wuhan University of Science and Technology, 2007/09 – 2011/06

💼 Work Experience

  • Associate Professor
    Guilin University of Electronic Science and Technology, 2022/04 – Present
  • Lecturer
    Guilin University of Electronic Science and Technology, 2018/12 – 2022/04

🏆 Achievements and Awards

  • Research Projects:
    • National Natural Science Foundation of China Youth Project:
      Research on the Synergistic Catalytic Hydrogen Absorption/Desorption Process and Related Mechanisms of ZrCo Alloy with Single/Bimetallic Ultra Thin Coatings
      Approval No. 51901054, Funding: ¥200,000, Hosted, January 2020 – December 2022.
    • National Natural Science Foundation of China Regional Science Foundation Project:
      Research on the Relationship between Phase Equilibrium, Microstructure, and Hydrogen Storage Performance of V-Ti based Hydrogen Storage Alloy
      Approval No. 52261003, Funding: ¥330,000, Participation, January 2023 – December 2026.
    • National Natural Science Foundation of China Regional Science Foundation Project:
      Design, Structural Modulation and Hydrogen Permeation Performance Research of V-Pd System Alloy
      Approval No. 51961010, Funding: ¥410,000, Participation, January 2020 – December 2023.

Publication Top Notes:

In situ catalytic formation of graphite-like carbon with superior potassium storage performance

2D-2D nanosheets for efficient zinc-ion batteries: Synthesis of interface-enriched MoS2 on VN hybrid nanosheets

Enhancement for hydrogen transport properties by tailoring lattice matching in V-Pd-Fe ternary alloy membrane

Strongly coupled C@MoSe2@OMWCNT heterostructure as an anode for sodium-ion batteries

Controllable Preparation and Sodium Storage Properties of Sb2Te3–Te Heterojunction

Mr. Alireza Eikani | Wireless Power Awards | Best Researcher Award

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Mr. Alireza Eikani | Wireless Power Awards | Best Researcher Award 

Mr. Alireza Eikani, University of Tehran, Iran

Alireza Eikani was born in Tehran, Iran. He earned his B.Sc. and M.Sc. degrees with first-class honors in Electrical Engineering from Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran, in 2018 and 2021, respectively. Currently, he is pursuing his Ph.D. at the Advanced Motion Systems Research Laboratory, School of Electrical and Computer Engineering, College of Engineering, University of Tehran. His research focuses on wireless power transfer (WPT) systems, with a particular emphasis on inductive WPT systems for charging mobile devices. His academic interests include power electronics and finite element analysis (FEA)-based design of electromagnetic devices, including novel permanent magnet electric machines for electric vehicles. Alireza is also a member of IEEE and has published extensively in journals and conferences, contributing to advancements in power electronics and WPT technologies.

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Summary of Suitability for Best Researcher Award: Alireza Eikani

Alireza Eikani demonstrates a promising trajectory in research, especially in the fields of power electronics, wireless power transfer (WPT), and electric machine design. Below is an evaluation of his profile based on key criteria for the Best Researcher Award.

Education 🎓

  • PhD in Power Electronics
    • University of Tehran, Tehran, Iran (2023 – Present)
    • Focus: Wireless Power Transfer Systems, Advanced Motion Systems Research Laboratory.
  • MSc in Power Electronics and Electrical Machines
    • Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran (2018 – 2021)
    • Graduated with First-Class Honors.
  • BSc in Electrical and Electronic Engineering
    • Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran (2013 – 2017)

Professional Memberships 🏅

  • IEEE Member
    • Active participant in the Institute of Electrical and Electronics Engineers (IEEE) community.

Work Experience 💼

  • Researcher at the Advanced Motion Systems Research Laboratory, University of Tehran.
  • Contributor to various academic and industrial projects in power electronics and electromagnetic device design.

Achievements 🌟

  1. Publications:
    • Authored and co-authored numerous journal articles and conference papers, including:
      • “Hybrid-Excited, Variable-Flux, and Inter-Modular Biased-Flux Motors: A Comparative Analysis” presented at the International Conference on Electrical Engineering (ICEE) 2024.
      • “Heat Transfer Study on a Stator-Permanent Magnet Electric Motor” published in Case Studies in Thermal Engineering (2024).
      • “Robust Wireless Power Transfer by Self-Oscillating Controlled Inverter and Double-D Pads” presented at ICEE 2024.
  2. Awards and Honors 🏆:
    • Received First-Class Honors for MSc studies at Amirkabir University of Technology.
    • Recognized for excellence in research contributions in the fields of wireless power transfer and electric machines.

Research Interests 🔬

  • Wireless Power Transfer (WPT) Systems
  • Inductive Charging for Mobile Devices
  • Design of Permanent Magnet Electric Machines for Electric Vehicles
  • Finite Element Analysis (FEA) for Electromagnetic Devices

Publication Top Notes:

Hybrid-Excited, Variable-Flux, and Inter-Modular Biased-Flux Motors: A Comparative Analysis

Heat transfer study on a stator-permanent magnet electric motor: A hybrid estimation model for real-time temperature monitoring and predictive maintenance

Robust Wireless Power Transfer by Self-Oscillating Controlled Inverter and Double-D Pads

Comparative Study of Alternative-Pole Flux Switching and Inter-Modular Biased-Flux Permanent Magnet Motors

Robust Wireless Power Transfer by Self-Oscillating Controlled Inverter and Circular Pads

Dr. Anshuman Satpathy | Renewable Energy Awards | Best Scholar Award

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Dr. Anshuman Satpathy | Renewable Energy Awards | Best Scholar Award 

Dr. Anshuman Satpathy, Siksha O Anusandan University, India

Mr. Anshuman Satpathy is a Research Scholar in the Department of Electrical and Electronics at ITER, Siksha ‘O’ Anusandhan (Deemed to be University), Bhubaneswar, India. He is currently pursuing his Ph.D. in electrical engineering, having previously earned a B.Tech and M.Tech dual degree in Electrical and Electronics Engineering from the same institution in 2020 with an impressive CGPA of 9.5. His research interests span a broad range of areas including smart grid technologies, grid integration of renewable energy sources, intelligent control, power system optimization, and electric vehicle (EV) charging infrastructure. Additionally, he specializes in voltage and frequency control of microgrids, stability of inverter-based systems, and Maximum Power Point Tracking (MPPT) for photovoltaic and wind energy conversion systems.

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Suitability for the Research for Best Scholar Award

Mr. Anshuman Satpathy, a research scholar in Electrical and Electronics Engineering at ITER, Siksha’O’ Anusandhan, stands as a strong candidate for the Best Scholar Award based on his academic background, research expertise, and contributions to the field.

Education:

  1. Ph.D. (Pursuing)
    • Institute: Department of Electrical and Electronics, ITER, Siksha ‘O’ Anusandhan (Deemed to be University)
    • Field: Electrical and Electronics Engineering
    • Status: Pursuing
  2. B.Tech and M.Tech Dual Degree (Integrated)
    • Institute: Electrical and Electronics Engineering (EEE) at ITER, Bhubaneswar
    • Year of Passing: 2020
    • CGPA: 9.5
  3. H.S.C. (Higher Secondary Certificate)
    • Institute: Vikas Residential School, Bargarh
    • Year of Passing: 2015
    • Percentage: 83%
  4. S.S.C. (Secondary School Certificate)
    • Institute: Holy Angels Convent School, Gopalpur
    • Year of Passing: 2013
    • Percentage: 85.5%

Work Experience:

  • Research Scholar
    • Department: Electrical and Electronics, ITER, Siksha ‘O’ Anusandhan (Deemed to be University)
    • Research Areas:
      • Smart Grid
      • Grid integration of Renewable Energy Sources
      • Intelligent control, modeling, and optimization of power systems
      • Power system stability and control
      • Technologies for smart grids
      • Electric Vehicle (EV) charging infrastructure
      • MPPT (Maximum Power Point Tracking) for PV and wind energy systems
      • Voltage and frequency control in microgrids with inverter and rotating machine-based sources
      • Stability of inverter-based systems

Awards and Honors:

  • Best Paper Presentation Award (2019) from Institution of Engineers INDIA
  • Prestigious Institution Award (2020) from Institution of Engineers INDIA
  • Prestigious Institution Award (2021) from Institution of Engineers INDIA
  • Best Paper Presentation at APSIT 2023 for “Power Quality Improvement in a Micro Grid with ELM-based Nonlinear Autoregressive Neural Network”
  • Prestigious Madhusudan Memorial Award (2021) from Institution of Engineers INDIA

Publication top Notes:

A new representation learning based maximum power operation towards improved energy management integration with DG controllers for photovoltaic generators using online deep exponentially expanded RVFLN algorithm

Forest Fire identification: Harnessing Internet of Things (IoT) and Artificial Intelligence

A new real-time maximum power point tracking scheme for PV-BASED microgrid STABILITY using online DEEP ridge extreme learning machine algorithm

Design and hardware in loop testing of an intelligent controller for power quality improvement in a complex micro grid

Short Term Solar Power Prediction Using Hybrid Two Layered Decomposition Technique Based Optimized ELM

Stability and Quality Analysis of Solar Energy-Based Electrical Network Using an Improved Artificial Neural Network