Ya Wang | Energy Harvesting | Best Researcher Award

Assoc Prof Dr. Ya Wang | Energy Harvesting | Best Researcher Award

Associate Professor at Texas A&M University, United States

Dr. Ya Wang is a tenured Associate Professor at Texas A&M University, holding the Leland T. Jordan Career Development Professorship in the J. Mike Walker ’66 Department of Mechanical Engineering. She is also affiliated with the Departments of Computer Science and Engineering, Electrical and Computer Engineering, and Biomedical Engineering. Dr. Wang earned her Ph.D. in Mechanical Engineering from Virginia Tech. Her research focuses on energy harvesting, vibration control, and smart materials. She is an accomplished scholar with over 70 published journal articles, numerous awards, including the NSF CAREER Award, and three approved utility patents. Energy Harvesting

Professional Profiles

Strengths for the Award

High-Impact Research: Dr. Ya Wang’s research portfolio is impressive, with publications in high-impact journals such as Coordination Chemistry Reviews (IF: 34.3), Advanced Composites and Hybrid Materials (IF: 20.1), and Bioactive Materials (IF: 16.874). The focus on advanced materials for brain-targeted therapeutics and drug delivery systems highlights her innovative approach and significant contributions to the field.

Interdisciplinary Expertise: Dr. Wang’s affiliations with multiple departments at Texas A&M University—Mechanical Engineering, Computer Science, Electrical and Computer Engineering, and Biomedical Engineering—demonstrate her interdisciplinary expertise. This breadth of knowledge and collaboration across fields positions her as a leader in cutting-edge research areas. Energy Harvesting

Recognition and Awards: Dr. Wang has received numerous prestigious awards, including the NSF CAREER Award, Fellow of the American Society of Mechanical Engineers (ASME), and the Texas A&M Engineering Experiment Station Engineering Genesis Awards in 2019 and 2021. These accolades underscore her excellence and leadership in research.

Editorial and Leadership Roles: Serving as an Associate Editor for multiple journals and as a member of technical committees for SPIE and ASME highlights her influence and recognition in the research community. Her editorial roles allow her to shape the direction of research in her field.

Patent Contributions: Dr. Wang holds three utility patents, indicating her ability to translate research into practical applications. This is a significant strength, demonstrating her impact beyond academia and into the industry. Energy Harvesting

Areas for Improvement

Broader Citation Impact: While Dr. Wang has a strong h-index (27) and i10-index (44), which are commendable, increasing the number of citations further would enhance her visibility and impact in the broader research community. This could involve more collaboration with researchers outside her primary disciplines or more focus on topics with widespread relevance. Energy Harvesting

Expanding Leadership Roles: Although Dr. Wang holds several significant roles in the research community, pursuing leadership positions in major international research organizations or conferences could further elevate her profile and influence.

Further Interdisciplinary Collaboration: While her work is already interdisciplinary, expanding collaborations into even more diverse fields, such as artificial intelligence or environmental engineering, could open new avenues for innovative research and funding opportunities.

Educational Background

Publications:

Brain-specific Targeted delivery of therapeutic agents using metal-organic framework-based nanomedicine, Publication date: 2024.

Pharmacokinetic modeling of solid and hollow gold-coated superparamagnetic iron oxide nanoparticles for brain-targeted therapeutics: prediction and experiment, Publication date: 2024.

Stage-Wise Data Balancing Promoting Toe-tapping-based Classification of Parkinson’s Disease Progression using Smart Insoles, Publication date: 2023.

Bayes Filter-based Occupancy Detection Using Networked SLeEpIR Sensors, Publication date: 2023.

Promoting Occupancy Detection Accuracy Using On-Device Lifelong Learning, Publication date: 2023.

Qiangfeng Xiao | Energy conversion | Best Researcher Award

Prof Dr. Qiangfeng Xiao | Energy conversion | Best Researcher Award

Professor at Tongji University, China

Dr. Qiangfeng Xiao is a professor at Tongji University, China, with extensive experience in energy storage and conversion materials. He earned his Ph.D. in Chemical Engineering from UCLA in 2010 and has over 50 peer-reviewed publications, 10 patents, and 18 pending patents. Prior to Tongji, he worked at GM’s R&D Center, focusing on lithium-ion and fuel cell technologies. His research includes high-energy Li metal batteries, solid-state electrolytes, and advanced anodes and cathodes. Dr. Xiao is also a reviewer for top journals and a member of several professional societies, recognized for his innovation and contributions to the field.

Professional Profiles

Education

Ph.D. in Chemical Engineering, University of California, Los Angeles (UCLA), 2010. M.S. in Materials Science, Tsinghua University, Beijing, China, 2003. B.S. in Chemical Engineering, Qingdao University, Qingdao, China, 2000

Professional Experience

1. Tongji University, Professor (2018-Present) Leading projects on high-energy Li metal batteries, solid-state electrolytes, and advanced anodes and cathodes. 2. General Motors (GM) Team Leader, Cross-lab Collaboration (2017) Developed high-performance, lightweight surface coatings and vibration dampers for vehicle body panels and battery packs. Senior Researcher, Global Propulsion System (2017-2018) Conducted postmortem analysis of EV battery failures. Before his tenure at Tongji University, Dr. Xiao worked at the General Motors (GM) Research & Development Center for 8 years. Energy conversion

Qualifications

US permanent resident Extensive industrial experience in R&D, particularly in the development of lithium-ion batteries and fuel cells Expertise in the design and hands-on fabrication of 1Ah pouch cells Postmortem analysis of EV batteries In-situ characterization techniques for lithium-ion batteries, including In-situ XRD, TEM, and DEMS Development of technology roadmaps for EV batteries Experience in developing high-energy batteries (500 Wh/kg) Comprehensive knowledge of the industrial process of lithium-ion battery development and production Deep understanding of cell design and chemistry Proficiency in battery pack structure and analysis of cell state within packs Skilled in drafting and securing patent applications Experience in funding application and management Highly self-motivated and innovative. Energy conversion

Research Interests

Dr. Xiao’s research focuses on the design and synthesis of materials for energy storage and conversion applications. His significant contributions include: High-energy rechargeable Li metal 500 Wh/kg batteries F-containing electrolytes for Li anode Sulfides, Garnets, polymers, and their composite-based solid-state electrolytes High-capacity, long-life Si anodes Li-rich manganese-based cathodes Ni-rich single crystal cathodes High-power liquid fuel cells. Energy conversion

Research Focuse

Dr. Qiangfeng Xiao’s research primarily focuses on advanced materials for energy storage and conversion technologies. His work spans the design and synthesis of hierarchical nanowire composites, graphene-based ultrafast charge-discharge cathodes, and high-energy density lithium-ion supercapacitors. He has contributed significantly to the development of silicon and graphene-based anodes, as well as innovative coatings for lithium metal anodes. Dr. Xiao also explores biomimetic ionic channels in metal-organic frameworks for lithium-ion electrolytes and regenerative polysulfide-scavenging layers for lithium-sulfur batteries. His research innovations consistently aim at enhancing energy storage capacity, improving cycling life, and advancing materials for next-generation batteries and supercapacitors. Energy conversion

Publications

  1. In-situ Construction of Polyelectrolyte/Polyzwitterion Coacervate Framework for High-Performance Silicon Anodes, Publication date: 2024.
  2. High-voltage ether-based electrolytes for lithium metal batteries via synergy between the solvent and additive, Publication date: 2024.
  3. Boosting borohydride oxidation kinetics by manipulating hydrogen evolution and oxidation through octahedral Pt-Ni/C for high-performance direct borohydride fuel cells, Publication date: 2024.
  4. Investigation of non-precious metal cathode catalysts for direct borohydride fuel cells, Publication date: 2024.
  5. High-performance precious metal-free direct ammonia fuel cells endowed by Co-doped Ni4Cu1 anode catalysts, Publication date: 2023.
  6. Regulating cathode‐electrolyte interphase by confining functional aluminum compound within Ni‐rich cathodes,Publication date: 2023.
  7. High-performance zinc-air batteries enabled by hybridizing atomically dispersed FeN2 with Co3O4 nanoparticles, Publication date: 2023.
  8. Optimization of the cathode catalyst layer for boosting direct ammonia fuel cell performance by orthogonal tests, Publication date: 2023.
  9. Recent Progress on Nanomodification Applied in Anodes of Rechargeable Li Metal Batteries, Publication date: 2023.
  10. Prefabrication of a Lithium Fluoride Interfacial Layer to Enable Dendrite-Free Lithium Deposition, Publication date: 2023.
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Abraham Dimitri Kapim kenfack | photovoltaic energy | Best Researcher Award

Dr. Abraham Dimitri Kapim kenfack, photovoltaic energy, Innovation in Computational Science Award

Research fellows at Tshwane University of Technology, South Africa

Kapim Kenfack Abraham Dimitri, a Cameroonian physicist and educator, born on May 11, 1988, holds a Ph.D. in Physics. Currently a research fellow at Tshwane University of Technology, he specializes in the impact of magnetic fields on PV modules. With a robust academic background, he supervises students at various levels and actively contributes to research in physics and solar energy. His commitment is evident through conference presentations, journal reviews, and the application of Machine Learning in solar cell projects. Dedicated to education, Dimitri combines expertise in physics with a passion for mentoring the next generation of researchers. photovoltaic energy

Professional Profiles:

Scopus Profile

Orcid Profile

 

Education📚

Research fellows at Tshwane University of Technology since August 2022 till now  PhD, Physics (2021)  Subject: Effect of a uniform magnetic in the presence of a magnetic material and non-uniform field effects on the PV module.  Master of Sciences, Physics (Mechanics and Energetic) Oct 2010-Jul 2013 University of Dschang Cameroon, photovoltaic energy

Working Experience

Sep 2023 Reviewer of articles for SAIP 2023 proceeding July 2023 Poster presentation at South African Institute of Physics (SAIP) conference South Africa March 2023 Start developing projects involving Machine Learning applied in solar cell and finances Feb 2023 Attendance with certificate a workshop CHPC-NIhecs Coding Summer School in South Africa Aug 2022 Research fellows at Tshwane University of Technology till now Jan 2022 Reviewer in some journals till now Sep 2021-part time teacher in a private secondary school (Cameroon) Sep 2019 -Teaching duties in level 4 (University of Dschang) Sep 2017 – PhD student University of Dschang (Cameroon) photovoltaic energy

Research Focus:

The research conducted by this individual falls within the category of Photovoltaic Energy and Computational Modeling. Their primary focus revolves around the enhancement and computational modeling of heterojunction perovskite solar cells, specifically those based on CsPbI3/MAPbX3(X = I1−xBrx). The work, cited at least once, reflects a commitment to advancing the understanding and efficiency of perovskite solar cell technology. By combining expertise in material science, computational modeling, and renewable energy, the researcher contributes to the ongoing efforts to improve the performance and viability of solar cells for a sustainable energy future.

 

Publications (TOP NOTES)

 

Computational modelling and improvement of heterojunction perovskite solar cell based on CsPbI3/MAPbX3(X = I1−xBrx), cited by: 1,  Publication date: 2023

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