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.