Li, S., Su, J, Lepech, M., Wang, J. (2020) How “Belt and Road” Initiative Implementation Has Influenced R&D Outcomes of Chinese Enterprises: Knowledge Transfer or Asset-exploiting Effect? Accepted to Journal of R&D Management
Rezazadeh Kalehbasti, P., Basbagill, J. Lepech, M., Fischer, M. (2020) A Novel Management Framework for Product and Business Model Innovation. Accepted to Journal of Engineering and Technology Management.
Best, R., Rezazadeh Kalehbasti, P., Basbagill, J. Lepech, M. (2020) A Novel Approach to Life Cycle Cost Optimization of District Heating and Cooling Network. Energy, 116837.
Allende, M., Miller, J., Davis, A., Christiansen, E., Lepech, M., Loftus, D. (2020) Prediction of Micrometeoroid Damage to Lunar Construction Materials using Numerical Modeling of Hypervelocity Impact Events. Accepted to International ASCE Journal of Aerospace Engineering.
Coto, A., Rosa, I., Allende, M., Loftus, D., Lepech, M. (2020) “Designing Biopolymer-bound Regolith Composites for Maximum Strength” ASCE Earth and Space Conference. April 20-23, 2020. Seattle, Washington, USA.
Wu, J., Shen, B. Lepech. M (2019) “Incorporating Multi-physics Deterioration Analysis in Building Information Modeling for Life-cycle Management of Durability Performance” Automation in Construction, 110, 103004.
Roedel, H., Rosa, I., Allende, M. , Lepech, M., Loftus, D., Garboczi, E.J. (2019) “Prediction of Ultimate Compressive Strength for Biopolymer-bound Soil Composites (BSC) Using Sliding Wingtip Crack Analysis” Engineering Fracture Mechanics, 218, 106570.
Geiker, M., Michel, A., Stang, H., Lepech, M. (2019) Limit States for Sustainable Reinforced Concrete Structures. Cement and Concrete Research. 122, 189-195.
Tian Tan, Feng Bao, Yue Deng, Alex Jin, Qionghai Dai, Jie Wang, “Cooperative Deep Reinforcement Learning for Large-Scale Traffic Grid Signal Control”, IEEE Transactions on Cybernetics, 29 March 2019, 1-14.
Chu, Tianshu, Jie Wang, Lara Codecà, and Zhaojian Li. "Multi-agent Deep Reinforcement Learning for Large-scale Traffic Signal Control." IEEE Transactions on Intelligent Transportation Systems, 15 March 2019, 1-10, 2019.
Shiyou Qian, Jian Cao, Weichao Mao, Yanmin Zhu, Jiadi Yu, Minglu Li, Jie Wang: A fast and anti-matchability matching algorithm for content-based publish/subscribe systems. Computer Networks 149: 213-225, 2019.
Shuhui Qu, Jie Wang, and Juergen Jasperneite. "Dynamic scheduling in modern processing systems using expert-guided distributed reinforcement learning." 2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). IEEE, 10-13 Sept. Zaragoza, Spain, 2019.
Frank, T. E., Lepech, M. D., Billington, S. L. (2018). Experimental Testing of Reinforced ECC Beams Subjected to Various Cyclic Deformation Histories. Journal of Structural Engineering, 144(6), 04018052
Frank, T. E., Lepech, M. D., Billington, S. L. (2018). Finite element models of reinforced ECC beams subjected to various cyclic deformation. Computers and Concrete. 22(3) 305-317
Lepech, M. (2018) The Future Design of Sustainable Infrastructure. National Academy of Engineering The Bridge 48(2): 13-21
Rosa, I. , Lepech, M., Loftus, D. (2018) Multiscale Modeling and Testing of Protein-bound Regolith and Soils. 16th Biennial ASCE International Conference on Engineering, Science, Construction and Operations in Challenging Environments. Cleveland, OH. April 9-12, 2018
Allende, M., Lepech, M., Loftus, D. (2018) Scaling Impact Crater Dimension to Predict Micrometeorite Damage of Biopolymer-Stabilized Regolith. 16th Biennial ASCE International Conference on Engineering, Science, Construction and Operations in Challenging Environments. Cleveland, OH. April 9-12, 2018
Shuhui Qu, Jie Wang, and Juergen Jasperneite. "Dynamic scheduling in large-scale stochastic processing networks for demand-driven manufacturing using distributed reinforcement learning." 2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA). Vol. 1. IEEE, 2018.
Rui Xu, Shuhi Qu, Ying Liu, Jie Wang. "Demand Engineering in Mass Customization Using Data-Driven Approach." Customization 4.0. Springer, Cham, 2018. 75-86.
Xin Jin, Jie Wang, Tianshu Chu, Jinhua Xia, “Knowledge Source Strategy and Enterprise Innovation Performance: Dynamic Analysis Based on Machine Learning [J]”, Technology Analysis & Strategic Management, 2018, 30(1): 71-83.
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