Faculty Profiles

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

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

De, S., Xu, S., Emami, A., & Khaleghian, S. (n.d.). Gecko-Inspired Microscale Structures for Friction and Deformation Control in Zero-Gravity Environments.

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

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. Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology, 237(1), 149–162. https://doi.org/10.1177/13506501221104290

Khan, M. J. I., Khaleghian, S., & Emami, A. (2022). Design of a Versatile Slip Resistance Tester Mimicking Foot Kinematics and Kinetics During Human Slip.

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.

Nguyen, K., Bryant, M., Song, I.-H., You, B.-H., & Khaleghian, S. (2022). The Application of PVDF-Based Piezoelectric Patches in Energy Harvesting from Tire Deformation. Sensors, 22(24), 9995. https://doi.org/10.3390/s22249995

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

Banks, J. D., Khaleghian, S., & Emami, A. (2022). Flexible Piezoresistive Nanocomposite Sensors: Materials Selection, Processing, and Performance.

Emami, A., Gnidehoue, H. H. C., & Khaleghian, S. (2021). Estimation of Rubber Wear Rate Using Three Different Machine Learning Algorithms.

Emami, A., Gnidehoue, H. H., & Khaleghian, S. (2021). Estimation of Rubber Wear Rate Using Three Different Machine Learning Algorithms.

Basutkar, R. K., & Khaleghian, S. (2021). Design and development of an automated system for precision agriculture.

Gnidehoue, H. H. C., Emami, A., & Khaleghian, S. (2020). Application of Machine Learning Algorithms in Wear Rate Estimation of Rubbers.

Ghahremani-Moghadam, D., & Khaleghian, S. (2020). Microstructure and Mechanical Properties of Friction Stir Welded and Processed Joints with the Addition of Nanoparticles: A Review. Current Biochemical Engineering, 6(2), 82--90.

Maurya, D., Khaleghian, S., Sriramdas, R., Kumar, P., Kishore, R. A., Kang, M. G., … Priya, S. (2020). 3D printed graphene-based self-powered strain sensors for smart tires in autonomous vehicles. Nature Communications, 11(1). https://doi.org/10.1038/s41467-020-19088-y

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

Behroozinia, P., Khaleghian, S., Taheri, S., & Mirzaeifar, R. (2020). An investigation towards intelligent tyres using finite element analysis. International Journal of Pavement Engineering, 21(3), 311–321. https://doi.org/10.1080/10298436.2018.1475664

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

Khaleghian, S., Ghasemalizadeh, O., Taheri, S., & Flintsch, G. (2019). A Combination of Intelligent Tire and Vehicle Dynamic Based Algorithm to Estimate the Tire-Road Friction. SAE International Journal of Passenger Cars - Mechanical Systems, 12(2). https://doi.org/10.4271/06-12-02-0007

Najafi, S., Flintsch, G. W., & Khaleghian, S. (2019). Pavement friction management – artificial neural network approach. International Journal of Pavement Engineering, 20(2), 125–135. https://doi.org/10.1080/10298436.2016.1264221

Behroozinia, P., Khaleghian, S., Taheri, S., & Mirzaeifar, R. (2019). Damage diagnosis in intelligent tires using time-domain and frequency-domain analysis. Mechanics Based Design of Structures and Machines, 47(1), 54–66. https://doi.org/10.1080/15397734.2018.1496842

Maurya, D., Kumar, P., Khaleghian, S., Sriramdas, R., Kang, M. G., Kishore, R. A., … Priya, S. (2018). Energy harvesting and strain sensing in smart tire for next generation autonomous vehicles. Applied Energy, 232, 312–322. https://doi.org/10.1016/j.apenergy.2018.09.183

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

Khaleghian, S., & Taheri, S. (2017). Intelligent Tire Based Pressure Monitoring Algorithm. In Volume 12: Transportation Systems. American Society of Mechanical Engineers. https://doi.org/10.1115/imece2017-71048

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. American Society of Mechanical Engineers. https://doi.org/10.1115/dscc2017-5335

Khaleghian, S., & Taheri, S. (2017). Terrain classification using intelligent tire. Journal of Terramechanics, 71, 15–24. https://doi.org/10.1016/j.jterra.2017.01.005

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

Khaleghian, S., Ghasemalizadeh, O., & Taheri, S. (2016). Estimation of the Tire Contact Patch Length and Normal Load Using Intelligent Tires and Its Application in Small Ground Robot to Estimate the Tire-Road Friction. Tire Science and Technology, 44(4), 248–261. https://doi.org/10.2346/tire.16.440402

Ghasemalizadeh, O., Khaleghian, S., & Taheri., S. (2016). A REVIEW OF OPTIMIZATION TECHNIQUES IN ARTIFICIAL NETWORKS. International Journal of Advanced Research, 4(9), 1668–1686. https://doi.org/10.21474/ijar01/1627

Najafi, S., Flintsch, G. W., & Khaleghian, S. (2016). Fuzzy logic inference-based Pavement Friction Management and real-time slippery warning systems: A proof of concept study. Accident Analysis & Prevention, 90, 41–49. https://doi.org/10.1016/j.aap.2016.02.007

Khaleghian, S., Ghasemalizadeh, O., & Taheri, S. (2015). Estimation of the Contact Patch Length and Normal Load using Intelligent Tires. In 34th annual Meeting and Conference on Tire Science and Technology.

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

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

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.

Ghasemi, M., Khaleghian, S., & Soltani, N. (2010). Errors Estimation for Evaluating Mixed-Mode Stress Intensity Factors for Cracks Emanating from Sharp Notches Using Simulated Photo elasticity. World Applied Sciences Journal, 4(11), 733--736.