headshot of Amir H. Alavi

Amir H. Alavi

Assistant Professor
ISMART Laboratory Google Scholar LinkedIn Civil & Environmental Engr Mechanical Engineering & Materials Science Bioengineering Department


Dr. Amir H. Alavi is an Assistant Professor in the Department of Civil and Environmental Engineering, and holds courtesy appointments in the Department of Bioengineering and Department of Mechanical Engineering and Materials Science at the University of Pittsburgh. His multidisciplinary scientific studies are organized around three research thrusts: 1) mechanics and electronics of multifunctional materials and structures, 2) embedded self-powered sensing systems, and 3) data-driven characterization, design and discovery of engineering systems.

Dr. Alavi’s primary focus lies in the exploration, design, additive manufacturing, and computational modeling of novel engineered material systems (e.g. mechanical metamaterials, composites). His team strives to gain a comprehensive understanding of the mechanics and electronics of these material systems across multiple scales. Dr. Alavi’s vision is to equip these engineered material systems with “a level of cognition” and “primitive intelligence” by seamlessly integrating advanced functionalities into their fabric. The created intelligent material systems and structures can then deploy their cognitive abilities for sensing, self-powering, information processing, and communicating to interact with the surrounding environments, optimize their response, and create a sense–decide–respond loop. In this area, Dr. Alavi has coined the groundbreaking concept of “meta-tribomaterials” and initiated the scientific field of “mechanical metamaterial electronics (meta-mechanotronics)”, a field that couples engineering domains of mechanical metamaterials, digital electronics and nano energy harvesting. Meta-mechanotronics can build the foundation for designing truly intelligent material systems and structures at nano, micro and macro scales. The meta-mechanotronic systems simply rely on their constituent components to sense, self-power, compute, and wirelessly communicate, without using any external power source or additional electronics. These advanced functionalities can be recognized as new material properties, alongside traditional material/metamaterial properties (e.g. strength and stiffness).

Dr. Alavi is also pioneering the field of “self-powered monitoring”, where the operating power of the embedded sensing systems is directly harvested from the signal being monitored. Under this concept, it is feasible to continuously monitor the condition of engineering systems, drastically reduce the form factor of the embedded sensing and wireless modules, and store the sensed data for offline analysis. His team is actively developing cutting-edge, self-powered sensing and monitoring technologies tailored for a wide range of structural systems, spanning from large civil infrastructure systems to minuscule medical implants. In addition, Dr. Alavi’s original and seminal contributions to developing and deploying advanced machine learning, structural optimization and bio-inspired computational techniques have established a road map for their broad applications in various engineering domains. His team is harnessing the power of the created principles and concepts in the fields of civil infrastructure, construction, aerospace, and biomedical engineering.

Dr. Alavi has published 8 books and has made significant contributions to the academic landscape with nearly 200 published works across archival journals, book chapters, and conference proceedings. His journal articles have earned him multiple award certificates. His pioneering work in the field of systems engineering science is widely acknowledged by his peers, with approximately 20,000 citations and an h-index of 64. Dr. Alavi is among the Web of Science ESI's World Top 1% Scientific Minds in 2018 and 2023, and has maintained his status on the Stanford University List of Top 1% Scientists in the World for four consecutive years (2019-2022). He is the recipient of the NSF CAREER Award in 2023 and the NIH Trailblazer Award in 2024. Dr. Alavi is the editor/guest editor of several journals such as Measurement, Chip, Automation in Construction, and ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems.


(2024) NIH Trailblazer Award.

(2023) NSF CAREER Award.

(2019 - 2022) World’s Top 1% Scientists List , Meta-Research Innovation Center, Stanford University.

(2018 - 2023) Top 1% of Scientists in the World , Essential Science Indicators (ESI), Web of Science, Clarivate.

(2016) Graduate School Dissertation Completion Fellowship, Michigan State University.

(2013) Engineering Distinguished Fellowship (EDF), Michigan State University.

PhD, Michigan State University

MS, Iran University of Science and Technology

BS, Iran University of Science and Technology

Jiao, P., Wang, Z.L., & Alavi, A.H. (2024). Maximizing Triboelectric Nanogenerators by Physics-Informed AI Inverse Design. Advanced Materials, 36(5), e2308505.Wiley. doi: 10.1002/adma.202308505.

Luo, J., Lu, W., Jang, D., Zhang, Q., Meng, W., Wells, A., & Alavi, A.H. (2024). Millifluidic Nanogenerator Lab-on-a-Chip Device for Blood Electrical Conductivity Monitoring at Low Frequency. Advanced Materials, e2403568.Wiley. doi: 10.1002/adma.202403568.

Barri, K., Zhang, Q., Kline, J., Lu, W., Luo, J., Sun, Z., Taylor, B.E.E., Sachs, S.G.G., Khazanovich, L., Wang, Z.L., & Alavi, A.H.H. (2023). Multifunctional Nanogenerator-Integrated Metamaterial Concrete Systems for Smart Civil Infrastructure. ADVANCED MATERIALS, 35(14), e2211027.Wiley. doi: 10.1002/adma.202211027.

Jiao, P., Mueller, J., Raney, J.R., Zheng, X.R., & Alavi, A.H. (2023). Mechanical metamaterials and beyond. Nature Communications, 14(1), 6004.Nature Research (part of Springer Nature). doi: 10.1038/s41467-023-41679-8.

Zhang, Q., Barri, K., Jiao, P., Lu, W., Luo, J., Meng, W., Wang, J., Hong, L., Mueller, J., Wang, Z.L., & Alavi, A.H. (2023). Meta-mechanotronics for self-powered computation. MATERIALS TODAY, 65, 78-89.Elsevier BV. doi: 10.1016/j.mattod.2023.03.026.

Zhang, Q., Barri, K., Wan, Z., Luo, J., Lu, W., & Alavi, A.H. (2023). Triboelectric Nanogenerators for Civil Infrastructure Systems. In Handbook of Triboelectric Nanogenerators. (pp. 1-23).Springer International Publishing. doi: 10.1007/978-3-031-05722-9_35-1.

Zhang, Q., Barri, K., Yu, H., Wan, Z., Lu, W., Luo, J., & Alavi, A.H. (2023). Bio-Inspired Morphological Evolution of Metastructures with New Operation Modalities. ADVANCED INTELLIGENT SYSTEMS, 5(5).Wiley. doi: 10.1002/aisy.202300019.

Alavi, A., Feng, M., & Jiao, P. (2022). The Rise of Smart Cities: Advanced Structural Sensing and Monitoring Systems. In Sharif-Khodaei, Z. (Ed.). Elsevier. doi: 10.1016/C2018-0-02602-X.

Alavi, A.H., Fioranelli, F., Li, G., Ni, X., & Song, L. (2022). Sensing, processing, computing and networking for the era of wearables. DIGITAL SIGNAL PROCESSING, 125, 103569.Elsevier BV. doi: 10.1016/j.dsp.2022.103569.

Barri, K., Zhang, Q., Mehta, D., Chakrabartty, S., Debski, R., & Alavi, A.H. (2022). Studying the Feasibility of Postoperative Monitoring of Spinal Fusion Progress Using a Self-Powered Fowler-Nordheim Sensor-Data-Logger. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 69(2), 710-717.Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/TBME.2021.3103776.

Barri, K., Zhang, Q., Swink, I., Aucie, Y., Holmberg, K., Sauber, R., Altman, D.T., Cheng, B.C., Wang, Z.L., & Alavi, A.H. (2022). Patient-Specific Self-Powered Metamaterial Implants for Detecting Bone Healing Progress. ADVANCED FUNCTIONAL MATERIALS, 32(32).Wiley. doi: 10.1002/adfm.202203533.

Jiao, P., Nazar, A.M., Egbe, K.J.I., Barri, K., & Alavi, A.H. (2022). Magnetic capsulate triboelectric nanogenerators. SCIENTIFIC REPORTS, 12(1), 89.Springer Science and Business Media LLC. doi: 10.1038/s41598-021-04100-2.

Barri, K., Jiao, P., Zhang, Q., Chen, J., Wang, Z.L., & Alavi, A.H. (2021). Multifunctional meta-tribomaterial nanogenerators for energy harvesting and active sensing. NANO ENERGY, 86, 106074.Elsevier BV. doi: 10.1016/j.nanoen.2021.106074.

Fathi, H., Vaez, S.R.H., Zhang, Q., & Alavi, A.H. (2021). A new approach for crack detection in plate structures using an integrated extended finite element and enhanced vibrating particles system optimization methods. STRUCTURES, 29, 638-651.Elsevier BV. doi: 10.1016/j.istruc.2020.11.017.

Jahangiri, B., Barri, K., Alavi, A.H., & Buttlar, W.G. (2021). A molecular sensing method integrated with support vector machines to characterize asphalt mixtures. MEASUREMENT, 179, 109528.Elsevier BV. doi: 10.1016/j.measurement.2021.109528.

Jiao, P., & Alavi, A.H. (2021). Artificial intelligence-enabled smart mechanical metamaterials: advent and future trends. INTERNATIONAL MATERIALS REVIEWS, 66(6), 365-393.SAGE Publications. doi: 10.1080/09506608.2020.1815394.

Nazar, A.M., Jiao, P., Zhang, Q., Egbe, K.J.I., & Alavi, A.H. (2021). A New Structural Health Monitoring Approach Based on Smartphone Measurements of Magnetic Field Intensity. IEEE INSTRUMENTATION & MEASUREMENT MAGAZINE, 24(4), 49-58.Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/MIM.2021.9448251.

Peter, J.D., Alavi, A.H., & Fernandes, S.L. (2021). Intelligence in Big Data Technologies—Beyond the Hype. 1167, v-vi.Springer. doi: 10.1007/978-981-15-5285-4.

Salehi, H., Burgueno, R., Chakrabartty, S., Lajnef, N., & Alavi, A.H. (2021). A comprehensive review of self-powered sensors in civil infrastructure: State-of-the-art and future research trends. ENGINEERING STRUCTURES, 234, 111963.Elsevier BV. doi: 10.1016/j.engstruct.2021.111963.

Zhang, Q., Barri, K., Babanajad, S.K., & Alavi, A.H. (2021). Real-Time Detection of Cracks on Concrete Bridge Decks Using Deep Learning in the Frequency Domain. ENGINEERING, 7(12), 1786-1796.Elsevier BV. doi: 10.1016/j.eng.2020.07.026.

Zhang, Q., Barri, K., Jiao, P., Salehi, H., & Alavi, A.H. (2021). Genetic programming in civil engineering: advent, applications and future trends. ARTIFICIAL INTELLIGENCE REVIEW, 54(3), 1863-1885.Springer Science and Business Media LLC. doi: 10.1007/s10462-020-09894-7.

Zhang, Q., Barri, K., Kari, S.R., Wang, Z.L., & Alavi, A.H. (2021). Multifunctional Triboelectric Nanogenerator-Enabled Structural Elements for Next Generation Civil Infrastructure Monitoring Systems. ADVANCED FUNCTIONAL MATERIALS, 31(47).Wiley. doi: 10.1002/adfm.202105825.

Bayat, M., Pakar, I., Ahmadi, H.R., Cao, M., & Alavi, A.H. (2020). Structural health monitoring through nonlinear frequency-based approaches for conservative vibratory systems. STRUCTURAL ENGINEERING AND MECHANICS, 73(3), 331-337. doi: 10.12989/sem.2020.73.3.331.

Jiao, P., & Alavi, A.H. (2020). Evolutionary computation for design and characterization of nanoscale metastructures. APPLIED MATERIALS TODAY, 21, 100816.Elsevier BV. doi: 10.1016/j.apmt.2020.100816.

Jiao, P., Egbe, K.J.I., Xie, Y., Nazar, A.M., & Alavi, A.H. (2020). Piezoelectric Sensing Techniques in Structural Health Monitoring: A State-of-the-Art Review. SENSORS, 20(13), 3730.MDPI AG. doi: 10.3390/s20133730.

Jiao, P., Hasni, H., Lajnef, N., & Alavi, A.H. (2020). Mechanical metamaterial piezoelectric nanogenerator: Design principle, modeling and performance. MATERIALS & DESIGN, 187, 108214.Elsevier BV. doi: 10.1016/j.matdes.2019.108214.

Alavi, A.H., & Buttlar, W.G. (2019). An overview of smartphone technology for citizen-centered, real-time and scalable civil infrastructure monitoring. FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 93, 651-672.Elsevier BV. doi: 10.1016/j.future.2018.10.059.

Bolandi, H., Lajnef, N., Jiao, P., Barri, K., Hasni, H., & Alavi, A.H. (2019). A Novel Data Reduction Approach for Structural Health Monitoring Systems. SENSORS, 19(22), 4823.MDPI AG. doi: 10.3390/s19224823.

Jiao, P., & Alavi, A.H. (2019). Size-dependent buckling instability and recovery of beam-like, architected microstructures. MATERIALS & DESIGN, 162, 405-417.Elsevier BV. doi: 10.1016/j.matdes.2018.12.003.

Jiao, P., Alavi, A.H., Borchani, W., & Lajnef, N. (2019). Small and large deformation models of post-buckled beams under lateral constraints. MATHEMATICS AND MECHANICS OF SOLIDS, 24(2), 386-405.SAGE Publications. doi: 10.1177/1081286517741341.

Jiao, P., Roy, M., Barri, K., Zhu, R., Ray, I., & Alavi, A.H. (2019). High-performance fiber reinforced concrete as a repairing material to normal concrete structures: Experiments, numerical simulations and a machine learning-based prediction model. CONSTRUCTION AND BUILDING MATERIALS, 223, 1167-1181.Elsevier BV. doi: 10.1016/j.conbuildmat.2019.07.312.

Mousavi, M., Holloway, D., Olivier, J.C., Alavi, A.H., & Gandomi, A.H. (2019). A Shannon entropy approach for structural damage identification based on self-powered sensor data. ENGINEERING STRUCTURES, 200, 109619.Elsevier BV. doi: 10.1016/j.engstruct.2019.109619.

Sabz, A., Reddy, J.N., Jiao, P., & Alavi, A.H. (2019). Structural damage detection using rate of total energy. MEASUREMENT, 133, 91-98.Elsevier BV. doi: 10.1016/j.measurement.2018.09.080.

Alavi, A.H., Jiao, P., Buttlar, W.G., & Lajnef, N. (2018). Internet of Things-enabled smart cities: State-of-the-art and future trends. MEASUREMENT, 129, 589-606.Elsevier BV. doi: 10.1016/j.measurement.2018.07.067.

Gandomi, A.H., & Alavi, A.H. (2018). Metaheuristics in Reliability and Risk Analysis. ASCE-ASME JOURNAL OF RISK AND UNCERTAINTY IN ENGINEERING SYSTEMS PART A-CIVIL ENGINEERING, 4(3).American Society of Civil Engineers (ASCE). doi: 10.1061/AJRUA6.0000978.

Hasni, H., Jiao, P., Alavi, A.H., Lajnef, N., & Masri, S.F. (2018). Structural health monitoring of steel frames using a network of self-powered strain and acceleration sensors: A numerical study. AUTOMATION IN CONSTRUCTION, 85, 344-357.Elsevier BV. doi: 10.1016/j.autcon.2017.10.022.

Hasni, H., Jiao, P., Lajnef, N., & Alavi, A.H. (2018). Damage localization and quantification in gusset plates: A battery-free sensing approach. STRUCTURAL CONTROL & HEALTH MONITORING, 25(6), e2158.Hindawi Limited. doi: 10.1002/stc.2158.

Jiao, P., & Alavi, A.H. (2018). Buckling analysis of graphene-reinforced mechanical metamaterial beams with periodic webbing patterns. INTERNATIONAL JOURNAL OF ENGINEERING SCIENCE, 131, 1-18.Elsevier BV. doi: 10.1016/j.ijengsci.2018.06.005.

Jiao, P., Alavi, A.H., Borchani, W., & Lajnef, N. (2018). Micro-composite films constrained by irregularly bilateral walls: A sizedependent post-buckling analysis. COMPOSITE STRUCTURES, 195, 219-231.Elsevier BV. doi: 10.1016/j.compstruct.2018.04.046.

Jiao, P., Borchani, W., Alavi, A.H., Hasni, H., & Lajnef, N. (2018). An energy harvesting and damage sensing solution based on postbuckling response of nonuniform cross-section beams. STRUCTURAL CONTROL & HEALTH MONITORING, 25(1).Hindawi Limited. doi: 10.1002/stc.2052.

Alavi, A.H., & Gandomi, A.H. (2017). Big data in civil engineering. AUTOMATION IN CONSTRUCTION, 79, 1-2.Elsevier BV. doi: 10.1016/j.autcon.2016.12.008.

Alavi, A.H., Hasni, H., Jiao, P., Borchani, W., & Lajnef, N. (2017). Fatigue cracking detection in steel bridge girders through a self-powered sensing concept. JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH, 128, 19-38.Elsevier BV. doi: 10.1016/j.jcsr.2016.08.002.

Hasni, H., Alavi, A.H., Chatti, K., & Lajnef, N. (2017). A self-powered surface sensing approach for detection of bottom-up cracking in asphalt concrete pavements: Theoretical/numerical modeling. CONSTRUCTION AND BUILDING MATERIALS, 144, 728-746.Elsevier BV. doi: 10.1016/j.conbuildmat.2017.03.197.

Hasni, H., Alavi, A.H., Jiao, P., & Lajnef, N. (2017). Detection of fatigue cracking in steel bridge girders: A support vector machine approach. ARCHIVES OF CIVIL AND MECHANICAL ENGINEERING, 17(3), 609-622.Springer Science and Business Media LLC. doi: 10.1016/j.acme.2016.11.005.

Hasni, H., Alavi, A.H., Lajnef, N., Abdelbarr, M., Masri, S.F., & Chakrabartty, S. (2017). Self-powered piezo-floating-gate sensors for health monitoring of steel plates. ENGINEERING STRUCTURES, 148, 584-601.Elsevier BV. doi: 10.1016/j.engstruct.2017.06.063.

Alavi, A.H., Hasni, H., Lajnef, N., & Chatti, K. (2016). Continuous health monitoring of pavement systems using smart sensing technology. CONSTRUCTION AND BUILDING MATERIALS, 114, 719-736.Elsevier BV. doi: 10.1016/j.conbuildmat.2016.03.128.

Alavi, A.H., Hasni, H., Lajnef, N., & Chatti, K. (2016). Damage growth detection in steel plates: Numerical and experimental studies. ENGINEERING STRUCTURES, 128, 124-138.Elsevier BV. doi: 10.1016/j.engstruct.2016.09.026.

Alavi, A.H., Hasni, H., Lajnef, N., Chatti, K., & Faridazar, F. (2016). Damage detection using self-powered wireless sensor data: An evolutionary approach. MEASUREMENT, 82, 254-283.Elsevier BV. doi: 10.1016/j.measurement.2015.12.020.

Alavi, A.H., Hasni, H., Lajnef, N., Chatti, K., & Faridazar, F. (2016). An intelligent structural damage detection approach based on self-powered wireless sensor data. AUTOMATION IN CONSTRUCTION, 62, 24-44.Elsevier BV. doi: 10.1016/j.autcon.2015.10.001.

Chatti, K., Alavi, A.H., Hasni, H., Lajnef, N., & Faridazar, F. (2016). Damage Detection in Pavement Structures Using Self-powered Sensors. RILEM Bookseries, 13, 665-671.Springer Netherlands. doi: 10.1007/978-94-024-0867-6_93.

Gandomi, A.H., & Alavi, A.H. (2016). AN INTRODUCTION OF KRILL HERD ALGORITHM FOR ENGINEERING OPTIMIZATION. JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT, 22(3), 302-310.Vilnius Gediminas Technical University. doi: 10.3846/13923730.2014.897986.

Jiao, P., Borchani, W., Hasni, H., Alavi, A.H., & Lajnef, N. (2016). Post-buckling response of non-uniform cross-section bilaterally constrained beams. MECHANICS RESEARCH COMMUNICATIONS, 78, 42-50.Elsevier BV. doi: 10.1016/j.mechrescom.2016.09.012.

Lary, D.J., Alavi, A.H., Gandomi, A.H., & Walker, A.L. (2016). Machine learning in geosciences and remote sensing. GEOSCIENCE FRONTIERS, 7(1), 3-10.Elsevier BV. doi: 10.1016/j.gsf.2015.07.003.

Wang, G.G., Deb, S., Gandomi, A.H., Zhang, Z., & Alavi, A.H. (2016). Chaotic cuckoo search. SOFT COMPUTING, 20(9), 3349-3362.Springer Science and Business Media LLC. doi: 10.1007/s00500-015-1726-1.

Wang, G.G., Gandomi, A.H., Alavi, A.H., & Deb, S. (2016). A Multi-Stage Krill Herd Algorithm for Global Numerical Optimization. INTERNATIONAL JOURNAL ON ARTIFICIAL INTELLIGENCE TOOLS, 25(2), 1550030.World Scientific Pub Co Pte Lt. doi: 10.1142/S021821301550030X.

Wang, G.G., Gandomi, A.H., Alavi, A.H., & Deb, S. (2016). A hybrid method based on krill herd and quantum-behaved particle swarm optimization. NEURAL COMPUTING & APPLICATIONS, 27(4), 989-1006.Springer Science and Business Media LLC. doi: 10.1007/s00521-015-1914-z.

Gandomi, A.H., Alavi, A.H., & Ryan, C. (2015). Handbook of Genetic Programming Applications. 1-593.Springer International Publishing. doi: 10.1007/978-3-319-20883-1.

Wang, G.G., Gandomi, A.H., & Alavi, A.H. (2015). Study of Lagrangian and Evolutionary Parameters in Krill Herd Algorithm. Adaptation, Learning, and Optimization, 18, 111-128.Springer International Publishing. doi: 10.1007/978-3-319-14400-9_5.

Bayazidi, A.M., Wang, G.G., Bolandi, H., Alavi, A.H., & Gandomi, A.H. (2014). Multigene Genetic Programming for Estimation of Elastic Modulus of Concrete. MATHEMATICAL PROBLEMS IN ENGINEERING, 2014, 1-10.Hindawi Limited. doi: 10.1155/2014/474289.

Guo, L., Wang, G.G., Gandomi, A.H., Alavi, A.H., & Duan, H. (2014). A new improved krill herd algorithm for global numerical optimization. NEUROCOMPUTING, 138, 392-402.Elsevier BV. doi: 10.1016/j.neucom.2014.01.023.

Wang, G.G., Gandomi, A.H., Alavi, A.H., & Hao, G.S. (2014). Hybrid krill herd algorithm with differential evolution for global numerical optimization. NEURAL COMPUTING & APPLICATIONS, 25(2), 297-308.Springer Science and Business Media LLC. doi: 10.1007/s00521-013-1485-9.

Gandomi, A.H., Alavi, A.H., & Talatahari, S. (2013). Structural Optimization Using Krill Herd Algorithm. In Swarm Intelligence and Bio-Inspired Computation. (pp. 335-349).Elsevier. doi: 10.1016/b978-0-12-405163-8.00015-6.

Gandomi, A.H., Talatahari, S., Tadbiri, F., & Alavi, A.H. (2013). Krill herd algorithm for optimum design of truss structures. INTERNATIONAL JOURNAL OF BIO-INSPIRED COMPUTATION, 5(5), 281-288.Inderscience Publishers. doi: 10.1504/IJBIC.2013.057191.

Gandomi, A.H., Yang, X.S., Alavi, A.H., & Talatahari, S. (2013). Bat algorithm for constrained optimization tasks. NEURAL COMPUTING & APPLICATIONS, 22(6), 1239-1255.Springer Science and Business Media LLC. doi: 10.1007/s00521-012-1028-9.

Gandomi, A.H., Yang, X.S., Talatahari, S., & Alavi, A.H. (2013). Metaheuristic Algorithms in Modeling and Optimization. In Metaheuristic Applications in Structures and Infrastructures. (pp. 1-24).Elsevier. doi: 10.1016/b978-0-12-398364-0.00001-2.

Gandomi, A.H., Yang, X.S., Talatahari, S., & Alavi, A.H. (2013). Metaheuristic Applications in Structures and Infrastructures. Elsevier. doi: 10.1016/c2011-0-08778-1.

Gandomi, A.H., Yang, X.S., Talatahari, S., & Alavi, A.H. (2013). Firefly algorithm with chaos. COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION, 18(1), 89-98.Elsevier BV. doi: 10.1016/j.cnsns.2012.06.009.

Wang, G., Guo, L., Gandomi, A.H., Cao, L., Alavi, A.H., Duan, H., & Li, J. (2013). Levy-Flight Krill Herd Algorithm. MATHEMATICAL PROBLEMS IN ENGINEERING, 2013, 1-14.Hindawi Limited. doi: 10.1155/2013/682073.

Alavi, A.H., & Gandomi, A.H. (2012). Energy-based numerical models for assessment of soil liquefaction. GEOSCIENCE FRONTIERS, 3(4), 541-555.Elsevier BV. doi: 10.1016/j.gsf.2011.12.008.

Gandomi, A.H., & Alavi, A.H. (2012). Krill herd: A new bio-inspired optimization algorithm. COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION, 17(12), 4831-4845.Elsevier BV. doi: 10.1016/j.cnsns.2012.05.010.

Mohammadnejad, A.K., Mousavi, S.M., Torabi, M., Mousavi, M., & Alavi, A.H. (2012). Robust attenuation relations for peak time-domain parameters of strong ground motions. ENVIRONMENTAL EARTH SCIENCES, 67(1), 53-70.Springer Science and Business Media LLC. doi: 10.1007/s12665-011-1479-9.

Alavi, A.H., & Gandomi, A.H. (2011). A robust data mining approach for formulation of geotechnical engineering systems. ENGINEERING COMPUTATIONS, 28(3-4), 242-274.Emerald. doi: 10.1108/02644401111118132.

Gandomi, A.H., & Alavi, A.H. (2011). Multi-stage genetic programming: A new strategy to nonlinear system modeling. INFORMATION SCIENCES, 181(23), 5227-5239.Elsevier BV. doi: 10.1016/j.ins.2011.07.026.

Gandomi, A.H., & Alavi, A.H. (2011). Applications of Computational Intelligence in Behavior Simulation of Concrete Materials. Studies in Computational Intelligence, 359, 221-243.Springer Berlin Heidelberg. doi: 10.1007/978-3-642-20986-4_9.

Gandomi, A.H., Alavi, A.H., Mousavi, M., & Tabatabaei, S.M. (2011). A hybrid computational approach to derive new ground-motion prediction equations. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 24(4), 717-732.Elsevier BV. doi: 10.1016/j.engappai.2011.01.005.

Gandomi, A.H., Yang, X.S., & Alavi, A.H. (2011). Mixed variable structural optimization using Firefly Algorithm. COMPUTERS & STRUCTURES, 89(23-24), 2325-2336.Elsevier BV. doi: 10.1016/j.compstruc.2011.08.002.

Alavi, A.H., Gandomi, A.H., Sahab, M.G., & Gandomi, M. (2010). Multi expression programming: a new approach to formulation of soil classification. ENGINEERING WITH COMPUTERS, 26(2), 111-118.Springer Science and Business Media LLC. doi: 10.1007/s00366-009-0140-7.

Gandomi, A.H., Alavi, A.H., Kazemi, S., & Alinia, M.M. (2009). Behavior appraisal of steel semi-rigid joints using Linear Genetic Programming. JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH, 65(8-9), 1738-1750.Elsevier BV. doi: 10.1016/j.jcsr.2009.04.010.

Zhang, Q., & Alavi, A.H. (2023). Advances in autonomous materials and structures. In Active and Passive Smart Structures and Integrated Systems XVII.SPIE. doi: 10.1117/12.2658156.

Zhang, Q., Barri, K., Jiao, P., Mueller, J., Wang, Z.L., & Alavi, A.H. (2023). Self-powered electronic mechanical metamaterials. In Active and Passive Smart Structures and Integrated Systems XVII.SPIE. doi: 10.1117/12.2652258.

Barri, K., Zhang, Q., Kline, J., Khazanovich, L., & Alavi, A.H. (2022). Super compressible multifunctional metamaterial concrete. In Active and Passive Smart Structures and Integrated Systems XVI.SPIE. doi: 10.1117/12.2607689.

Zhang, Q., Barri, K., & Alavi, A.H. (2022). Harnessing the power of natural evolution for discovering metastructures with new operation modalities. In Active and Passive Smart Structures and Integrated Systems XVI.SPIE. doi: 10.1117/12.2607688.

Zhang, Q., Barri, K., Wang, Z.L., & Alavi, A.H. (2022). Digital Information Storage Mechanical Metamaterials. In ASME 2022 Conference on Smart Materials, Adaptive Structures and Intelligent Systems.American Society of Mechanical Engineers. doi: 10.1115/smasis2022-90268.

Barri, K., Zhang, Q., Jiao, P., Wang, Z.L., & Alavi, A.H. (2021). Multifunctional metamaterial sensor and nanogenerator. In Behavior and Mechanics of Multifunctional Materials XV, 11589.SPIE. doi: 10.1117/12.2581050.

Barri, K., Zhang, Q., Mehta, D., Chakrabartty, S., Debski, R.E., & Alavi, A.H. (2021). An implantable, battery-free sensing system for monitoring of spinal fusion. In Health Monitoring of Structural and Biological Systems XV, 11593.SPIE. doi: 10.1117/12.2580811.

Egbe, K.J.I., Matin Nazar, A., Jiao, P., & Alavi, A.H. (2021). Harnessing postbuckling instability of piezoelectric cylinders with corrugation for energy harvesting. In Active and Passive Smart Structures and Integrated Systems XV, 11588.SPIE. doi: 10.1117/12.2581669.

Matin Nazar, A., Egbe, K.J.I., Jiao, P., & Alavi, A.H. (2021). A novel multi-mode magnetic triboelectric nanogenerator energy harvesting system. In Behavior and Mechanics of Multifunctional Materials XV, 11589.SPIE. doi: 10.1117/12.2581463.

Zhang, Q., & Alavi, A.H. (2021). Automated two-stage approach for detection and quantification of surface defects in concrete bridge decks. In Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XV, 11592.SPIE. doi: 10.1117/12.2580806.

Ouyang, F., Jiao, P., & Alavi, A.H. (2020). Artificial intelligence-based smart engineering education. In Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2020, 11379.SPIE. doi: 10.1117/12.2557464.

Alavi, A.H., Hasni, H., Jiao, P., Aono, K., Lajnef, N., & Chakrabartty, S. (2019). Self-charging and self-monitoring smart civil infrastructure systems: current practice and future trends. In Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2019, 10970.SPIE. doi: 10.1117/12.2513476.

Jiao, P., Lu, K., Hasni, H., Alavi, A.H., Al-Ansari, A., & Lajnef, N. (2019). A multistable mechanism to detect thermal limits for structural health monitoring (SHM). In Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2019, 10970.SPIE. doi: 10.1117/12.2513389.

Alavi, A.H., Hasni, H., Jiao, P., & Lajnef, N. (2017). Structural health monitoring using a hybrid network of self-powered accelerometer and strain sensors. In SPIE Proceedings, 10168.SPIE. doi: 10.1117/12.2258633.

Hasni, H., Alavi, A.H., Jiao, P., & Lajnef, N. (2017). A new method for detection of fatigue cracking in steel bridge girders using self-powered wireless sensors. In SPIE Proceedings, 10168.SPIE. doi: 10.1117/12.2258629.

Jiao, P., Borchani, W., Hasni, H., Alavi, A.H., & Lajnef, N. (2017). An energy harvesting solution based on the post-buckling response of non-prismatic slender beams. In SPIE Proceedings, 10171.SPIE. doi: 10.1117/12.2268448.

Alavi, A., Javadipour, M., & Afzalian, A.A. (2016). An optimal event-triggered tracking control for battery-based wireless sensor networks. In 2016 Smart Grids Conference (SGC).IEEE. doi: 10.1109/sgc.2016.7882950.

Alavi, A.H., Hasni, H., Lajnef, N., & Masri, S. (2015). A novel self-powered approach for structural health monitoring. In 2015 International Conference on Sustainable Mobility Applications, Renewables and Technology (SMART).IEEE. doi: 10.1109/smart.2015.7399231.

Alavi, A.H., Heshmati, A.A., Salehzadeh, H., Gandomi, A.H., & Askarinejad, A. (2008). Soft computing based approaches for high performance concrete. In Proceedings of the 6th International Conference on Engineering Computational Technology.

Research interests

Architected Materials
Energy Harvesting
Machine Learning
Multifunctional Structures
Structural Health Monitoring
Structural Optimization