Portrait of Dr. Anahita Emami

Dr. Anahita Emami

  • Assistant Professor at Ingram School of Engineering, College of Science & Engineering

Scholarly and Creative Works

2025

  • Banks, J. D., & Emami, A. (2025). Direct ink writing of piezoresistive isoprene rubber nanocomposites. Polymer Composites. https://doi.org/10.1002/pc.29535
  • Bedillion, M., Pottmeyer, L., Muci-Kuchler, K. H., Lynn, K., Emami, A., & Birrenkott, C. (2025). Assessing Learning and Self-Efficacy in Online Modules on Systems Thinking and Systems Engineering. In Proceedings of the 2025 ASEE Annual Conference and Exposition, Montreal, Quebec, Canada, June 22 to 25, 2025. ASEE Paper ID # 46715.
  • Xu, S., Emami, A., & Khaleghian, S. (2025). Controlled Dry Adhesion of Bio-Inspired Fibrillar Polymers: Mechanics, Strategies, and Recent Advances. Materials, 18(7), 1620.
  • Xu, S., De, S., Khaleghian, S., & Emami, A. (2025). Wear Resistance of Additively Manufactured Footwear Soles. Lubricants, 13(2), 89. https://doi.org/10.3390/lubricants13020089

2024

  • Tanim, M. I. K., & Emami, A. (2024). Tailoring Piezoresistive Performance in 3D-Printed Nanocomposite Sensors Through Cellular Geometries. Applied Nano, 5(4), 258–278. https://doi.org/10.3390/applnano5040017
  • Xu, S., De, S., Khaleghian, S., & Emami, A. (2024). Comparative tribological and drainage performance of additively manufactured outsoles tread designs. Friction. https://doi.org/10.26599/frict.2025.9441024
  • Uddin, M. J., Sherrell, J., Emami, A., & Khaleghian, S. (2024). Application of Artificial Intelligence and Sensor Fusion for Soil Organic Matter Prediction. Sensors, 24(7), 2357. https://doi.org/10.3390/s24072357
  • Banks, J. D., & Emami, A. (2024). Carbon-Based Piezoresistive Polymer Nanocomposites via Extrusion Additive Manufacturing: Process, Material Design, and Current Progress. 3D Printing and Additive Manufacturing, 11(2), e548–e571. https://doi.org/10.1089/3dp.2022.0153
  • Bedillion, M., Muci-Kuchler, K. H., Emami, A., Kojtek, L., Pottmeyer, L., & Birrenkott, C. (2024). Developing Online Learning Modules on Systems Concepts for First Year Mechanical Engineering Students. In Proceedings of the 2024 ASME International Mechanical Engineering Congress & Exposition (IMECE 2024), Portland, Oregon, November 17 to 21, 2024. ASME Paper IMECE2024-144881.
  • De, S., Xu, S., Emami, A., & Khaleghian, S. (n.d.). Gecko-Inspired Microscale Structures for Friction and Deformation Control in Zero-Gravity Environments.

2023

  • Banks, J. D., & Emami, A. (2023). Influence of filler concentration and type on rheological and mechanical properties of liquid isoprene rubber for high-strength parts via material extrusion. Additive Manufacturing, 78, 103851. https://doi.org/10.1016/j.addma.2023.103851
  • Xu, S., Khan, M. J. I., Khaleghian, S., & Emami, A. (2023). Slip Risk Prediction Using Intelligent Insoles and a Slip Simulator. Electronics, 12(21), 4393. https://doi.org/10.3390/electronics12214393
  • Heathman, N., Koirala, P., Yap, T., Emami, A., & Tehrani, M. (2023). In situ consolidation of carbon fiber PAEK via laser-assisted automated fiber placement. Composites Part B: Engineering, 249, 110405. https://doi.org/10.1016/j.compositesb.2022.110405
  • Kim, E., Khaleghian, S., & Emami, A. (2023). Behavior of 3D Printed Stretchable Structured Sensors. Electronics, 12(1). https://doi.org/10.3390/electronics12010018
  • Emami, A., Sah, H. N., Aguayo, F., & Khaleghian, S. (2023). Experimental investigations and empirical modeling of rubber wear on concrete pavement. Journal of Engineering Tribology, 237(1), 149–162. https://doi.org/10.1177/13506501221104290

2022

  • Ashouri, M., Khaleghian, S., & Emami, A. (2022). A data-driven model for pressure distribution measurements by a four-electrode polymer sensor. Sensors and Actuators A: Physical, 342, 113663. https://doi.org/10.1016/j.sna.2022.113663
  • Ashouri, M., Khaleghian, S., & Emami, A. (2022). Reduced-order modeling of conductive polymer pressure sensors using finite element simulations and deep neural networks. Structural and Multidisciplinary Optimization, 65(5). https://doi.org/10.1007/s00158-022-03237-6
  • Meli, G., Banks, J. D., Chowdhury, H., & Emami, A. (2022). Additive Manufacturing and Mechanical Characterization of Hybrid Lattice Structures for Stretchability Enhancement.
  • Khan, M. J. I., Khaleghian, S., & Emami, A. (2022). Design of a Versatile Slip Resistance Tester Mimicking Foot Kinematics and Kinetics During Human Slip.
  • Muci-Kuchler, K. H., Emami, A., & Jmenez, J. (2022). Selection of Industry 4.0 Competencies for Implementation in a New Mechanical Engineering Undergraduate Program. In Proceedings of the 2022 ASME International Mechanical Engineering Congress & Exposition (IMECE 2022), Columbus, Ohio, October 30 to November 3, 2022. ASME Paper IMECE2022-94456.
  • Banks, J. D., Khaleghian, S., & Emami, A. (2022). Effects of Infill on the Additive Manufacturing of Piezoresistive Pressure Sensors. Retrieved from https://imece.secure-platform.com/a/solicitations/182/sessiongallery/11799/application/91749
  • Uddin, M. J., Basutkar, R. K., Emami, A., & Khaleghian, S. (2022). Development of AI-Based Algorithms for the Estimation of Soil Organic Matter from the Integration of UAV & In-Ground Soil Sensor.
  • Khan, M. J. I., & Emami, A. (2022). Design and Manufacturing of a Shoe Slip-simulator to Investigate the Slip Resistance.
  • Banks, J. D., Khaleghian, S., & Emami, A. (2022). Flexible Piezoresistive Nanocomposite Sensors: Materials Selection, Processing, and Performance.

2021

  • Emami, A., Gnidehoue, H. H. C., & Khaleghian, S. (2021). Estimation of Rubber Wear Rate Using Three Different Machine Learning Algorithms.
  • Emami, A., Khaleghian, S., & Taheri, S. (2021). Asperity-based modification on theory of contact mechanics and rubber friction for self-affine fractal surfaces. Friction, 9(6), 1707–1725. https://doi.org/10.1007/s40544-021-0485-5
  • Emami, A., Gnidehoue, H. H., & Khaleghian, S. (2021). Estimation of Rubber Wear Rate Using Three Different Machine Learning Algorithms.

2020

  • Emami, A., & Tehrani, M. (2020). Finite Element Analysis of Additive Manufacturing of Continuous Fiber Composites.
  • Gnidehoue, H. H. C., Emami, A., & Khaleghian, S. (2020). Application of Machine Learning Algorithms in Wear Rate Estimation of Rubbers.
  • Emami, A., Khaleghian, S., Bezek, T., & Taheri, S. (2020). Design and development of a new portable test setup to study friction and wear. Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology, 234(5), 730–742. https://doi.org/10.1177/1350650119867795

2019

  • Emami, A., & Khaleghian, S. (2019). Investigation of tribological behavior of Styrene-Butadiene Rubber compound on asphalt-like surfaces. Tribology International, 136, 487–495. https://doi.org/10.1016/j.triboint.2019.04.002

2018

  • Boroujeni, A. Y., Al-Haik, M., Emami, A., & Kalhor, R. (2018). Hybrid ZnO Nanorod Grafted Carbon Fiber Reinforced Polymer Composites; Randomly versus Radially Aligned Long ZnO Nanorods Growth. Journal of Nanoscience and Nanotechnology, 18(6), 4182–4188. https://doi.org/10.1166/jnn.2018.15042

2017

  • Emami, A., Khaleghian, S., Su, C., & Taheri, S. (2017). Comparison of multiscale analytical model of friction and wear of viscoelastic materials with experiments. In ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE) (Vol. 9). https://doi.org/10.1115/IMECE2017-71537
  • Emami, A., Khaleghian, S., Su, C., & Taheri, S. (2017). Physics-Based Friction Model With Potential Application in Numerical Models for Tire-Road Traction. In Volume 3: Vibration in Mechanical Systems; Modeling and Validation; Dynamic Systems and Control Education; Vibrations and Control of Systems; Modeling and Estimation for Vehicle Safety and Integrity; Modeling and Control of IC Engines and Aftertreatment Systems; Unmanned Aerial Vehicles (UAVs) and Their Applications; Dynamics and Control of Renewable Energy Systems; Energy Harvesting; Control of Smart Buildings and Microgrids; Energy Systems (Vol. 3). American Society of Mechanical Engineers. https://doi.org/10.1115/dscc2017-5335
  • Khaleghian, S., Emami, A., & Taheri, S. (2017). A technical survey on tire-road friction estimation. Friction, 5(2), 123–146. https://doi.org/10.1007/s40544-017-0151-0

2016

  • Emami, A., Vadakkeveetil, S., & Taheri, S. (2016). Theoretical Modeling of Tire Wear.
  • Vadakkeveetil, S., Emami, A., & Taheri, S. (2016). Pressure Dependent Rubber Friction Model.
  • Emami, A., Vadakkeveetil, S., Su, C., & Taheri, S. (2016). Theoretical Approach Towards Modeling Tire Wear Rate.

2015

  • Groo, L. A., Chung, H., Boroujeni, A. Y., Emami, A., Al-Haik, M., & Philen, M. (2015). Characterization of Zno piezoelectric Nanowires in energy harvesting for fiber-reinforced composites. In ASME 2015 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS 2015 (Vol. 2). https://doi.org/10.1115/SMASIS2015-9008
  • Offenberger, S., Boroujeni, A., Emami, A., Al-Haik, M., & Philen, M. K. (2015). Fiber reinforced composites with zinc oxide piezoelectric nanowires for structural health monitoring and enhanced interlaminar strength. In ICCM International Conferences on Composite Materials (Vol. 2015-July).
  • Emami, A., Boroujeni, & Al-Haik. (2015). High temperature nanocharacterization of Al/SiC laminated composite. In Proceedings of the American Society for Composites - 30th Technical Conference, ACS 2015.
  • Boroujeni, Skandani, Emami, A., & Al-Haik. (2015). Impact performance of a hybrid ZnO nanorod/carbon nanotube/carbon fiber reinforced polymer composite. In Proceedings of the American Society for Composites - 30th Technical Conference, ACS 2015.
  • Emami, A. (2015). Design, Analysis, and Simulation of a Pipe-Welding Robot with Fixed Plinth.
  • Emami, A. (2015). Image Processing Code for Sharpening Photoelastic Fringe Patterns and Its Usage in Determination of Stress Intensity Factors in a Sample Contact Problem.
  • Emami, A. (2015). The Effect of Wedge Tip Angles on Stress Intensity Factors in the Contact Problem between Tilted Wedge and a Half Plane with an Edge Crack Using Digital Image Correlation.

2014

  • Emami, A., Wu, & Tovar. (2014). Optimization of microstructures using statistical and physical descriptors within a cellular automaton framework. Engineering Optimization IV - Proceedings of the 4th International Conference on Engineering Optimization, ENGOPT 2014, 433–438. https://doi.org/10.1201/b17488-76
  • Dehnavi, M. Y., Khaleghian, S., Emami, A., Tehrani, M., & Soltani, N. (2014). Utilizing digital image correlation to determine stress intensity factors. Polymer Testing, 37, 28–35. https://doi.org/10.1016/j.polymertesting.2014.04.005

2013

  • Emami, A., & Tovar, A. (2013). Biomimetic design of lightweight structures for energy absorption: learning from antlers and horns.
  • Khaleghian, S., Emami, A., Tehrani, M., & Soltani, N. (2013). Analysis of effective parameters for stress intensity factors in the contact problem between an asymmetric wedge and a half-plane using an experimental method of photoelasticity. Materials & Design, 43, 447–453. https://doi.org/10.1016/j.matdes.2012.07.038

2012

  • Khaleghian, S., Emami, A., Tehrani, M., & Soltani, N. (2012). Study of Stress Intensity Factors in a Contact Problem for an Asymmetric Elastic Wedge and a Half-Plane Containing an Edge Crack Using the Experimental Method of Photoelasticity.