Dr. Ya Wang Profile

Dr. Ya Wang

Associate Professor at Texas A&M Univ

SPIE Involvement:

Conference Program Committee | Author

Websites:

Personal Website | Company Website

Dr. Wang is currently a tenured Associate Professor (2018 - date), and the holder of the Leland T. Jordan Career Development Professorship in the Department of Mechanical Engineering (MEEN), Texas A&M University. Before then, she was an Assistant Professor in the Department of Mechanical Engineering at Stony Brook University (2013-2018) after her Postdoc research fellowship in the Aerospace Engineering at University of Michigan (2012-2013) and her Ph.D. study in the Department of Mechanical Engineering at Virginia Tech (2007-2012). Dr. Wang's research interest is focused on nanorobotics, sensors, controls, and machine learning with applications to human sensing, activity tracking, Internet of Things, energy harvesting, nanomedicine, and biomedical devices. The overall goal of her research is to be vibrant and adaptable to the high impact innovations in the areas of mechanical, materials science, electrical engineering, and biomedical engineering. Dr. Wang was awarded 2018 NSF Career Award, 2015 Special Congressional Recognition, and 2015 DOE Wave Energy Prize. She was also the advisor to Six Semi-finalists of Intel/Regeneron Science Talent Search. She has authored 1 book chapter, 45 journal papers and 38 conference proceeding papers and filed 4 U.S. utility patents, and 2 provisional patents. She is the associate editor of the Journal of Intelligent Material Systems and Structures (2019 - date). She is a member of ASME, SPIE, AIAA and IEEE, the conference symposium chair of 2018 ASME SAMSIS, and the technical committee member of ASME SMASIS, and SPIE NDE/smart structures

Proceedings Article | 18 April 2022 Presentation

Modeling drug delivery magnetic microrobots for neuron regeneration

Milenka Gamero, Jingfan Chen, Ya Wang

Proceedings Volume PC12043, (2022) https://doi.org/10.1117/12.2615460

KEYWORDS: Magnetism, Neurons, Oxides, Nanoparticles, Iron, Electromagnetism, Control systems, Circulatory system, Brain, Alzheimer's disease

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Proceedings Article | 27 March 2019 Presentation + Paper

Sleep monitoring using an infrared thermal array sensor

Zhangjie Chen , Ya Wang

Proceedings Volume 10970, 109701D (2019) https://doi.org/10.1117/12.2515515

KEYWORDS: Sensors, Infrared sensors, Motion detection, Data modeling, Infrared radiation, Thermography, Feature selection, Prototyping, Cameras, Motion models

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Proceedings Article | 15 March 2018 Presentation + Paper

Systematic study of dual resonant rectilinear-to-rotary motion converter for low frequency vibrational energy harvesting

Jingfan Chen, Ya Wang, Benjamin Grisso

Proceedings Volume 10595, 105952T (2018) https://doi.org/10.1117/12.2296817

KEYWORDS: Magnetism, Energy harvesting, Inductive coupling, Motion models, Resonators, Oscillators, Electromagnetism, Nonlinear dynamics, Transducers, Ferromagnetics

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Proceedings Article | 10 May 2017 Presentation

Airfoil-based electromagnetic wind energy harvester (Conference Presentation)

Kevin Wang, Ya Wang

Proceedings Volume 10164, 101641U (2017) https://doi.org/10.1117/12.2260356

KEYWORDS: Wind energy, Electromagnetism, Magnetism, Composites, Microsoft Foundation Class Library, Wind measurement, Smart structures, System integration, Current controlled current source

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Proceedings Article | 10 May 2017 Presentation

Occupancy-driven smart register for building energy saving (Conference Presentation)

Zhangjie Chen, Ya Wang

Proceedings Volume 10164, 101640U (2017) https://doi.org/10.1117/12.2259801

KEYWORDS: Shape memory alloys, Sensors, HVAC controls, Actuators, Ferroelectric materials, Automatic control, Human subjects, Magnetism, Infrared sensors, Silicon

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The new era in energy-efficiency building is to integrate automatic occupancy detection with automated heating, ventilation and cooling (HVAC), the largest source of building energy consumption. By closing off some air vents, during certain hours of the day, up to 7.5% building energy consumption could be saved. In the past, smart vent has received increasing attention and several products have been developed and introduced to the market for building energy saving. For instance, Ecovent Systems Inc. and Keen Home Inc. have both developed smart vent registers capable of turning the vent on and off through smart phone apps. However, their products do not have on-board occupancy sensors and are therefore open-loop. Their vent control was achieved by simply positioning the vent blade through a motor and a controller without involving any smart actuation. This paper presents an innovative approach for automated vent control and automatic occupancy (human subjects) detection. We devise this approach in a smart register that has polydimethylsiloxane (PDMS) frame with embedded Shape memory alloy (SMA) actuators. SMAs belong to a class of shape memory materials (SMMs), which have the ability to ‘memorise’ or retain their previous form when subjected to certain stimulus such as thermomechanical or magnetic variations. And it can work as actuators and be applied to vent control. Specifically, a Ni-Ti SMA strip will be pre-trained to a circular shape, wrapped with a Ni-Cr resistive wire that is coated with thermally conductive and electrically isolating material. Then, the SMA strip along with an antagonistic SMA strip will be bonded with PZT sensor and thermal sensors, to be inserted into a 3D printed mould which will be filled with silicone rubber materials. In the end, a demoulding process yields a fully integrated blade of the smart register. Several blades are installed together to form the smart register. The PZT sensors can feedback the shape of the actuator for precise shape and air flow control. The performance and the specification of the smart registers will be characterized experimentally. Its capacity of regulating airflow, forming air curtain will be demonstrated.

Proceedings Article | 15 April 2016 Presentation + Paper

A comparative study on the mechatronic and electronic self-powered synchronized switch interfaces for piezoelectric energy harvesting systems

Haili Liu, Cong Ge, Junrui Liang, Ya Wang

Proceedings Volume 9799, 97991Q (2016) https://doi.org/10.1117/12.2219347

KEYWORDS: Switches, Energy harvesting, Mechatronics, Interfaces, Switching, Circuit switching, Sensors, Sensing systems, Power supplies, Prototyping, Chemical elements, Lead, Logic

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Proceedings Article | 15 April 2016 Presentation + Paper

Improved nonlinear energy harvester with matched magnetic orientation

W. Deng, Y. Wang

Proceedings Volume 9799, 97992E (2016) https://doi.org/10.1117/12.2219637

KEYWORDS: Magnetism, Energy harvesting, Microsystems, Electromagnetism, Resistance, Numerical simulations, Distance measurement, Transducers, Aluminum, Mechanical engineering

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Proceedings Article | 2 April 2015 Paper

Multifunctional magneto-plasmonic nanotransducers for advanced theranostics: synthesis, modeling and experiment

Masoud Masoumi, Ya Wang, Mingzhao Liu, Mahder Tewolde, Jon Longtin

Proceedings Volume 9431, 94311X (2015) https://doi.org/10.1117/12.2187102

KEYWORDS: Gold, Nanoparticles, Silica, Particles, Tumors, Cancer, Magnetism, Tissues, Liver, Absorption

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Proceedings Article | 1 April 2014 Paper

Amplified energy harvester from footsteps: design, modeling, and experimental analysis

Ya Wang, Wusi Chen, Plinio Guzman, Lei Zuo

Proceedings Volume 9057, 905724 (2014) https://doi.org/10.1117/12.2056634

KEYWORDS: Beryllium, Finite element methods, Neon, Actuators, Quantum efficiency, Commercial off the shelf technology, Data acquisition, Motion models, Ferroelectric materials, Manufacturing

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Proceedings Article | 29 May 2013 Paper

Adaptive multifunctional composites

Ya Wang, Daniel Inman

Proceedings Volume 8725, 87250B (2013) https://doi.org/10.1117/12.2018732

KEYWORDS: Composites, Data modeling, Actuators, Control systems, Systems modeling, Sensors, Oxides, Ceramics, Polymers, Finite element methods

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Proceedings Article | 3 April 2013 Paper

A finite element modeling of a multifunctional hybrid composite beam with viscoelastic materials

Ya Wang, Daniel Inman

Proceedings Volume 8689, 868919 (2013) https://doi.org/10.1117/12.2009824

KEYWORDS: Composites, Data modeling, Ceramics, Finite element methods, Shape memory alloys, Oxides, Actuators, Numerical simulations, Systems modeling, Epoxies

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Proceedings Article | 28 March 2012 Paper

Experimental characterization of simultaneous gust alleviation and energy harvesting for multifunctional wing spars

Ya Wang, Daniel Inman

Proceedings Volume 8341, 834114 (2012) https://doi.org/10.1117/12.926800

KEYWORDS: Point spread functions, Wind energy, Aluminum, Microsoft Foundation Class Library, Unmanned aerial vehicles, Composites, Transducers, Resistance, Control systems, Energy harvesting

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Proceedings Article | 27 April 2011 Paper

Energy-based comparison of various controllers for vibration suppression using piezoceramics

Ya Wang, Daniel Inman

Proceedings Volume 7977, 79771O (2011) https://doi.org/10.1117/12.880434

KEYWORDS: Control systems, Microsoft Foundation Class Library, Nonlinear control, Algorithm development, Switching, Switches, Numerical simulations, Solids, Transducers, Vibration control

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The large-scale and light-weight design trend in aircraft and spacecraft results in extremely flexible structures with lowfrequency vibration modes. Suppression of undesired vibrations in such flexible structures with limited energy is becoming an important design problem to develop energy-autonomous controllers powered using the harvested ambient energy. The objective of this paper is to compare different control laws to suppress low-frequency vibrations using the minimum actuation energy for the same system and under the same design constraint (identical settling time for free vibrations). The vibration suppression performance of four active control systems as well as their hybrid versions employing a switching technique are presented and compared. The control systems compared here are a Positive Position Feedback (PPF) controller, a Proportional Integral Derivative (PID) controller, a nonlinear controller (with a second-order nonlinear term multiplying the position and velocity feedback to create variable damping), a Linear Quadratic Regulator (LQR) controller and their hybrid versions integrating a bang-bang control law (on-off control) with each of these controllers. Experimental results are presented for a thin cantilevered beam with a piezoceramic transducer controlled by these eight controllers with a focus on the fundamental vibration mode under transverse free vibrations and the control energy requirements are compared. Experiments results reveal that all the controllers reduce the vibration settling time to 0.85s as a design constraint (which is 92.3% of the open-loop settling time: 10.9s). The average actuation power input provided to the piezoceramic transducer in each case is obtained for the time current and voltage measurements until the settling time. Comparisons show that the switching technology reduces significant actuation power requirement, so that all the hybrid control systems require much less power than their conventional versions. Especially, the hybrid bang-bang-nonlinear controller requires 67% less power than the conventional nonlinear controller. In order to verify this statement, the actuation current is theoretically calculated through piezo-capacitance using voltage measurements to check out the average power estimation. The theoretical checking out provides the same results with slightly error, which can be explained by measurement errors.

Showing 5 of 13 publications

Conference Committee Involvement (16)

Active and Passive Smart Structures and Integrated Systems XIX

17 March 2025 | Vancouver, Canada

Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2025

17 March 2025 | Vancouver, Canada

Active and Passive Smart Structures and Integrated Systems XVIII

25 March 2024 | Long Beach, California, United States

Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2024

25 March 2024 | Long Beach, California, United States

Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2023

13 March 2023 | Long Beach, California, United States

Active and Passive Smart Structures and Integrated Systems XVII

13 March 2023 | Long Beach, California, United States

Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems

7 March 2022 | Long Beach, California, United States

Active and Passive Smart Structures and Integrated Systems XVI

7 March 2022 | Long Beach, California, United States

Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems

22 March 2021 | Online Only, California, United States

Active and Passive Smart Structures and Integrated Systems XV

8 March 2021 | Online Only, California, United States

Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems

27 April 2020 | Online Only, California, United States

Active and Passive Smart Structures and Integrated Systems XIV

27 April 2020 | Online Only, California, United States

Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems

4 March 2019 | Denver, Colorado, United States

Active and Passive Smart Structures and Integrated Systems XIII

4 March 2019 | Denver, Colorado, United States

Active and Passive Smart Structures and Integrated Systems XII

5 March 2018 | Denver, Colorado, United States

Active and Passive Smart Structures and Integrated Systems XI

26 March 2017 | Portland, Oregon, United States

Showing 5 of 16 Conference Committees

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