Wilkins Aquino, Professor in the Thomas Lord Department of Mechanical Engineering and Materials Science

Wilkins Aquino obtained a BSCE from Purdue University, and a MS and PhD in Civil Engineering from the University of Illinois at Urbana-Champaign. Before joining the Duke Faculty, he was an associate professor in the School of Civil and Environmental Engineering at Cornell University. He was also a member of the fields of Theoretical and Applied Mechanics and Applied Mathematics at Cornell. Prof. Aquino has broad interests in computational mechanics, including finite element methods, computational inverse problems, uncertainty quantification, coupled chemo-mechanics, and computational acoustics, among others.

Contact Info:

Office Location:	309 Gross Hall, Durham, NC 27708
Office Phone:	+1 919 684 1922
Email Address:
Web Pages:	https://iomechlab.pratt.duke.edu https://iomechlab.pratt.duke.edu/

Teaching (Spring 2024):

• ME 555.06, ADVANCED TOPICS Synopsis

  Gross Hall 318, MW 01:25 PM-02:40 PM

• ME 490.01, SPECIAL TOPICS Synopsis

  Hudson 212, MW 01:25 PM-02:40 PM

• ME 555.01, ADVANCED TOPICS Synopsis

  Hudson 212, MW 01:25 PM-02:40 PM

Education:

Ph.D.	University of Illinois, Urbana-Champaign	2002
MS	University of Illinois, Urbana-Champaign	1999
BS	Purdue University	1997

Specialties:

Computational Mechanics

Research Interests:

Computational mechanics, finite element methods, computational inverse problems and their applications in engineering and biomedicine, scientific computing, computational acoustics and acoustics-structure interaction, coupled chemo-mechanics (e.g. electrochemistry-mechanics).

Keywords:

computational mechanics • computational inverse problems • engineering in biomedicine • chemo-mechanics • machine learning in mechanics • multiscale problems • acoustics-structure interaction • finite element method

Recent Publications   (More Publications)

1. Aquino, W; Rouse, J; Bonnet, M, Active design of diffuse acoustic fields in enclosures., The Journal of the Acoustical Society of America, vol. 155 no. 2 (February, 2024), pp. 1297-1307 [doi]  [abs]
2. Baek, Y; Aquino, W; Mukherjee, S, Generalized Bayes approach to inverse problems with model misspecification., Inverse problems, vol. 39 no. 10 (October, 2023), pp. 105011 [doi]  [abs]
3. Chen, MJ; Sivakumar, K; Banyay, GA; Golchert, BM; Walsh, TF; Zavlanos, MM; Aquino, W, Bayesian Optimal Sensor Placement for Damage Detection in Frequency-Domain Dynamics, Journal of Engineering Mechanics, vol. 148 no. 12 (December, 2022) [doi]  [abs]
4. Zou, Z; Kouri, DP; Aquino, W, A Locally Adapted Reduced-Basis Method for Solving Risk-Averse PDE-Constrained Optimization Problems, SIAM-ASA Journal on Uncertainty Quantification, vol. 10 no. 4 (December, 2022), pp. 1629-1651 [doi]  [abs]
5. Treweek, BC; Sanders, CM; Aquino, W; Walsh, TF, Optimization of Acoustic Channels to Minimize Scattered Pressure Fields, Journal of Theoretical and Computational Acoustics, vol. 30 no. 3 (September, 2022) [doi]  [abs]

Recent Grant Support

• Measuring arterial material properties using wave-based approaches with ultrasound and computational models, Mayo Clinic, 2019/01-2027/02.      
• GuArDIAN: General Active Sensing for conDItion AssessmeNt, Department of Energy, 2019/10-2023/09.      
• HDR TRIPODS: Innovations in Data Science: Integrating Stochastic Modeling, Data Representation, and Algorithms, National Science Foundation, 2019/10-2023/09.      
• CPS: Medium: Collaborative Research: Smart Ultrasound Elastography for Improved Medical Imaging, National Science Foundation, 2018/10-2022/09.      
• REU Site for Meeting the Grand Challenges in Engineering, National Science Foundation, 2017/05-2022/04.