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Amir H. Alavi

Assistant Professor
iSMaRT Laboratory Google Scholar LinkedIn Civil & Environmental Engr

overview

Dr. Amir H. Alavi is an Assistant Professor in the Department of Civil and Environmental Engineering, and holds a courtesy appointment in the Department of Bioengineering at the University of Pittsburgh. Prior to joining Pitt, Dr. Alavi was an Assistant Professor of Civil Engineering at the University of Missouri. Dr. Alavi is the director of the Pitt’s Intelligent Structural Monitoring and Response Testing (iSMaRT) Laboratory, which focuses on integrating sensing, energy harvesting, architected material, computational, and information technologies to build a new generation of structural health monitoring systems. Dr. Alavi’s multidisciplinary research involves advancing the knowledge and technology required to create multifunctional architected material and structural systems with self-diagnostic and self-powering capabilities for a broad range of sensing and monitoring applications. His research goal is to harness the power of these technologies enhanced by engineering informatics for tackling problems in the fields of civil infrastructure, construction, aerospace, and biomedical engineering. Dr. Alavi is pioneering the field of “self-powered monitoring”, where the operating power of the smart embedded sensing systems is directly harvested from the signal being monitored. Recently, he has coined the groundbreaking concept of “self-aware metamaterials” which enables creating nano-, micro-, and macro-scale architected materials and structures with a wide range of advanced functionalities including sensing, energy harvesting, data storage, digital computation, programmability, and mechanical tunability. His team pushes the limits of this technology even further to build the foundations for the so-called "engineered self-aware structures" that can operate similar to complex living organisms without using any external power source or additional electronics. In addition, Dr. Alavi’s original and seminal contributions to developing and deploying advanced machine learning and bio-inspired computation techniques have established a road map for their broad applications in various engineering domains. Dr. Alavi has authored seven books and over 200 publications in archival journals, book chapters, and conference proceedings. He has received a number of award certificates for his journal articles. He is among the Google Scholar 200 Most Cited Authors in Civil Engineering, Web of Science ESI's World Top 1% Scientific Minds in 2018, and the Stanford University list of Top 1% Scientists in the World in 2020. He is the editor/guest editor of several journals such as Measurement, Sensors, Case Studies in Construction Material, Automation in Construction, ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, and Advances in Mechanical Engineering.

about

PhD, Michigan State University

MS, Iran University of Science and Technology

BS, Iran University of Science and Technology

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.

Barri, K., Zhang, Q., Mehta, D., Chakrabartty, S., Debski, R., & Alavi, A.H. (2021). Studying the Feasibility of Postoperative Monitoring of Spinal Fusion Progress Using a Self-powered Fowler-Nordheim Sensor-Data-Logger. IEEE Trans Biomed Eng, PP, 1.Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/TBME.2021.3103776.

Fallahpour, A., Barri, K., Wong, K.Y., Jiao, P., & Alavi, A.H. (2021). An integrated data mining approach to predict electrical energy consumption. INTERNATIONAL JOURNAL OF BIO-INSPIRED COMPUTATION, 17(3), 142-153.

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.

Feng, Y., Deb, S., Wang, G.G., & Alavi, A.H. (2021). Monarch butterfly optimization: A comprehensive review. EXPERT SYSTEMS WITH APPLICATIONS, 168, 114418.Elsevier BV. doi: 10.1016/j.eswa.2020.114418.

Hsu, C.H., Alavi, A.H., & Dong, M. (2021). Interactive personalized recommendation systems for human health. JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING, 12(3), 3209-3212.Springer Science and Business Media LLC. doi: 10.1007/s12652-021-02950-2.

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.Informa UK Limited. doi: 10.1080/09506608.2020.1815394.

Jiao, P., Wang, J., Chen, X., Ruan, J., Ye, X., & Alavi, A.H. (2021). Next-generation remote sensing and prediction of sand and dust storms: State-of-the-art and future trends. INTERNATIONAL JOURNAL OF REMOTE SENSING, 42(14), 5281-5320.Informa UK Limited. doi: 10.1080/01431161.2021.1912433.

Majidifard, H., Jahangiri, B., Rath, P., Alavi, A.H., & Buttlar, W.G. (2021). A deep learning approach to predict Hamburg rutting curve. ROAD MATERIALS AND PAVEMENT DESIGN, 22(9), 2159-2180.Informa UK Limited. doi: 10.1080/14680629.2021.1886160.

Majidifard, H., Jahangiri, B., Rath, P., Contreras, L.U., Buttlar, W.G., & Alavi, A.H. (2021). Developing a prediction model for rutting depth of asphalt mixtures using gene expression programming. CONSTRUCTION AND BUILDING MATERIALS, 267, 120543.Elsevier BV. doi: 10.1016/j.conbuildmat.2020.120543.

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.

Tahmassebi, A., Motamedi, M., Alavi, A.H., & Gandomi, A.H. (2021). An explainable prediction framework for engineering problems: case studies in reinforced concrete members modeling. ENGINEERING COMPUTATIONS, ahead-of-print(ahead-of-print).Emerald. doi: 10.1108/EC-02-2021-0096.

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, 2105825.Wiley. doi: 10.1002/adfm.202105825.

Zhang, Q., Vandenbossche, J.M., & Alavi, A.H. (2021). An evolutionary computational method to formulate the response of unbonded concrete overlays to temperature loading. ENGINEERING COMPUTATIONS, ahead-of-print(ahead-of-print).Emerald. doi: 10.1108/EC-11-2020-0641.

Barri, K., Jahangiri, B., Davami, O., Buttlar, W.G., & Alavi, A.H. (2020). Smartphone-based molecular sensing for advanced characterization of asphalt concrete materials. MEASUREMENT, 151, 107212.Elsevier BV. doi: 10.1016/j.measurement.2019.107212.

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.

Hemedan, A.A., Abd Elaziz, M., Jiao, P., Alavi, A.H., Bahgat, M., Ostaszewski, M., Schneider, R., Ghazy, H.A., Ewees, A.A., & Lu, S. (2020). Prediction of the Vaccine-derived Poliovirus Outbreak Incidence: A Hybrid Machine Learning Approach. SCIENTIFIC REPORTS, 10(1), 5058.Springer Science and Business Media LLC. doi: 10.1038/s41598-020-61853-y.

Jiao, P., & Alavi, A.H. (2020). Artificial intelligence in seismology: Advent, performance and future trends. GEOSCIENCE FRONTIERS, 11(3), 739-744.Elsevier BV. doi: 10.1016/j.gsf.2019.10.004.

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.

Li, J., Lei, H., Alavi, A.H., & Wang, G.G. (2020). Elephant Herding Optimization: Variants, Hybrids, and Applications. MATHEMATICS, 8(9), 1415.MDPI AG. doi: 10.3390/math8091415.

Li, W., Wang, G.G., & Alavi, A.H. (2020). Learning-based elephant herding optimization algorithm for solving numerical optimization problems. KNOWLEDGE-BASED SYSTEMS, 195, 105675.Elsevier BV. doi: 10.1016/j.knosys.2020.105675.

Yi, J.H., Xing, L.N., Wang, G.G., Dong, J., Vasilakos, A.V., Alavi, A.H., & Wang, L. (2020). Behavior of crossover operators in NSGA-III for large-scale optimization problems. INFORMATION SCIENCES, 509, 470-487.Elsevier BV. doi: 10.1016/j.ins.2018.10.005.

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.

Majidifard, H., Jahangiri, B., Buttlar, W.G., & Alavi, A.H. (2019). New machine learning-based prediction models for fracture energy of asphalt mixtures. MEASUREMENT, 135, 438-451.Elsevier BV. doi: 10.1016/j.measurement.2018.11.081.

Mirzahosseini, M., Jiao, P., Barri, K., Riding, K.A., & Alavi, A.H. (2019). New machine learning prediction models for compressive strength of concrete modified with glass cullet. ENGINEERING COMPUTATIONS, 36(3), 876-898.Emerald. doi: 10.1108/EC-08-2018-0348.

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.

Peter, J.D., Alavi, A.H., & Javadi, B. (2019). Preface. 750, v-vi.

Peter, J.D., Rajsingh, E.B., & Alavi, A.H. (2019). Special Section on Big Data and Cloud Technologies. COMPUTERS & ELECTRICAL ENGINEERING, 75, 312-314.Elsevier BV. doi: 10.1016/j.compeleceng.2019.03.008.

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.

Sarveghadi, M., Gandomi, A.H., Bolandi, F., & Alavi, A.H. (2019). Development of prediction models for shear strength of SFRCB using a machine learning approach. NEURAL COMPUTING & APPLICATIONS, 31(7), 2085-2094.Springer Science and Business Media LLC. doi: 10.1007/s00521-015-1997-6.

Wang, G.G., Gandomi, A.H., Alavi, A.H., & Gong, D. (2019). A comprehensive review of krill herd algorithm: variants, hybrids and applications. ARTIFICIAL INTELLIGENCE REVIEW, 51(1), 119-148.Springer Science and Business Media LLC. doi: 10.1007/s10462-017-9559-1.

Alavi, A.H., Cui, Z., Gandomi, A.H., Gao, X.Z., Wang, G.G., & Lim, M.H. (2018). Editorial. MEMETIC COMPUTING, 10(2), 121-122.Springer Science and Business Media LLC. doi: 10.1007/s12293-018-0260-y.

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), 02018001.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.Wiley. 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).Wiley. doi: 10.1002/stc.2052.

Yi, J.H., Deb, S., Dong, J., Alavi, A.H., & Wang, G.G. (2018). An improved NSGA-III algorithm with adaptive mutation operator for Big Data optimization problems. FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 88, 571-585.Elsevier BV. doi: 10.1016/j.future.2018.06.008.

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.

Alavi, A.H., Hasni, H., Zaabar, I., & Lajnef, N. (2017). A new approach for modeling of flow number of asphalt mixtures. ARCHIVES OF CIVIL AND MECHANICAL ENGINEERING, 17(2), 326-335.Springer Science and Business Media LLC. doi: 10.1016/j.acme.2016.06.004.

Babanajad, S.K., Gandomi, A.H., & Alavi, A.H. (2017). New prediction models for concrete ultimate strength under true-triaxial stress states: An evolutionary approach. ADVANCES IN ENGINEERING SOFTWARE, 110, 55-68.Elsevier BV. doi: 10.1016/j.advengsoft.2017.03.011.

Gandomi, A.H., Alavi, A.H., Gandomi, M., & Kazemi, S. (2017). Formulation of shear strength of slender RC beams using gene expression programming, part II: With shear reinforcement. MEASUREMENT, 95, 367-376.Elsevier BV. doi: 10.1016/j.measurement.2016.10.024.

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., Jiao, P., Lajnef, N., Chatti, K., Aono, K., & Chakrabartty, S. (2017). A new approach for damage detection in asphalt concrete pavements using battery-free wireless sensors with non-constant injection rates. MEASUREMENT, 110, 217-229.Elsevier BV. doi: 10.1016/j.measurement.2017.06.035.

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.

Schwarz, L.R., Alavi, A., & Booth, G.H. (2017). Projector Quantum Monte Carlo Method for Nonlinear Wave Functions. PHYSICAL REVIEW LETTERS, 118(17), 176403.American Physical Society (APS). doi: 10.1103/PhysRevLett.118.176403.

Alavi, A.H., & Sadrossadat, E. (2016). New design equations for estimation of ultimate bearing capacity of shallow foundations resting on rock masses. GEOSCIENCE FRONTIERS, 7(1), 91-99.Elsevier BV. doi: 10.1016/j.gsf.2014.12.005.

Alavi, A.H., Gandomi, A.H., & Lary, D.J. (2016). Progress of machine learning in geosciences: Preface. GEOSCIENCE FRONTIERS, 7(1), 1-2.Elsevier BV. doi: 10.1016/j.gsf.2015.10.006.

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. (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., & 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.

Mohammadzadeh, D.S., Bazaz, J.B., Yazd, S.H.V.J., & Alavi, A.H. (2016). Deriving an intelligent model for soil compression index utilizing multi-gene genetic programming. ENVIRONMENTAL EARTH SCIENCES, 75(3), 1-11.Springer Science and Business Media LLC. doi: 10.1007/s12665-015-4889-2.

Wang, G.G., Deb, S., Gandomi, A.H., & Alavi, A.H. (2016). Opposition-based krill herd algorithm with Cauchy mutation and position clamping. NEUROCOMPUTING, 177, 147-157.Elsevier BV. doi: 10.1016/j.neucom.2015.11.018.

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.

Wang, G.G., Gandomi, A.H., Yang, X.S., & Alavi, A.H. (2016). A new hybrid method based on krill herd and cuckoo search for global optimisation tasks. International Journal of Bio-Inspired Computation, 8(5), 286.Inderscience Publishers. doi: 10.1504/ijbic.2016.079569.

Wang, G.G., Gandomi, A.H., Yang, X.S., & Alavi, A.H. (2016). A new hybrid method based on krill herd and cuckoo search for global optimisation tasks. INTERNATIONAL JOURNAL OF BIO-INSPIRED COMPUTATION, 8(5), 286-299.Inderscience Publishers. doi: 10.1504/IJBIC.2016.10000414.

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.

Mirzahosseini, M., Najjar, Y.M., Alavi, A.H., & Gandomi, A.H. (2015). Next-Generation Models for Evaluation of the Flow Number of Asphalt Mixtures. INTERNATIONAL JOURNAL OF GEOMECHANICS, 15(6), 04015009.American Society of Civil Engineers (ASCE). doi: 10.1061/(ASCE)GM.1943-5622.0000483.

Shahnazari, H., Dehnavi, Y., & Alavi, A.H. (2015). The next-generation constitutive correlations for simulation of cyclic stress-strain behaviour of sand. JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT, 21(1), 31-44.Vilnius Gediminas Technical University. doi: 10.3846/13923730.2013.802726.

Talatahari, S., Singh, V.P., Alavi, A.H., & Kang, F. (2015). Soft Computing Methods in Civil Engineering. The Scientific World Journal, 2015, 1-2.Hindawi Limited. doi: 10.1155/2015/605871.

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.

Ziaee, S.A., Sadrossadat, E., Alavi, A.H., & Shadmehri, D.M. (2015). Explicit formulation of bearing capacity of shallow foundations on rock masses using artificial neural networks: application and supplementary studies. ENVIRONMENTAL EARTH SCIENCES, 73(7), 3417-3431.Springer Science and Business Media LLC. doi: 10.1007/s12665-014-3630-x.

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.

Gandomi, A.H., Alavi, A.H., Asghari, A., Niroomand, H., & Nazar, A.M. (2014). An innovative approach for modeling of hysteretic energy demand in steel moment resisting frames. NEURAL COMPUTING & APPLICATIONS, 24(6), 1285-1291.Springer Science and Business Media LLC. doi: 10.1007/s00521-013-1342-x.

Gandomi, A.H., Alavi, A.H., Kazemi, S., & Gandomi, M. (2014). Formulation of shear strength of slender RC beams using gene expression programming, part I: Without shear reinforcement. AUTOMATION IN CONSTRUCTION, 42, 112-121.Elsevier BV. doi: 10.1016/j.autcon.2014.02.007.

Gandomi, A.H., Mohammadzadeh, D.S., Luis Perez-Ordonez, J., & Alavi, A.H. (2014). Linear genetic programming for shear strength prediction of reinforced concrete beams without stirrups. APPLIED SOFT COMPUTING, 19, 112-120.Elsevier BV. doi: 10.1016/j.asoc.2014.02.007.

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.

Mohammadzadeh, D.S., Bazaz, J.B., & Alavi, A.H. (2014). An evolutionary computational approach for formulation of compression index of fine-grained soils. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 33, 58-68.Elsevier BV. doi: 10.1016/j.engappai.2014.03.012.

Talatahari, S., Chen, S., Gandomi, A.H., & Alavi, A.H. (2014). Advances of Artificial Intelligence in Mechanical Engineering. ADVANCES IN MECHANICAL ENGINEERING, 6, 843730.SAGE Publications. doi: 10.1155/2014/843730.

Wang, G.G., Gandomi, A.H., & Alavi, A.H. (2014). An effective krill herd algorithm with migration operator in biogeography-based optimization. APPLIED MATHEMATICAL MODELLING, 38(9-10), 2454-2462.Elsevier BV. doi: 10.1016/j.apm.2013.10.052.

Wang, G.G., Gandomi, A.H., & Alavi, A.H. (2014). Stud krill herd algorithm. NEUROCOMPUTING, 128, 363-370.Elsevier BV. doi: 10.1016/j.neucom.2013.08.031.

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.

Wang, G.G., Gandomi, A.H., Yang, X.S., & Alavi, A.H. (2014). A novel improved accelerated particle swarm optimization algorithm for global numerical optimization. ENGINEERING COMPUTATIONS, 31(7), 1198-1220.Emerald. doi: 10.1108/EC-10-2012-0232.

Alavi, A.H., Gandomi, A.H., Mollahasani, A., & Bazaz, J.B. (2013). Linear and Tree-Based Genetic Programming for Solving Geotechnical Engineering Problems. In Metaheuristics in Water, Geotechnical and Transport Engineering. (pp. 289-310).Elsevier. doi: 10.1016/b978-0-12-398296-4.00012-x.

Alavi, A.H., Gandomi, A.H., Nejad, H.C., Mollahasani, A., & Rashed, A. (2013). Design equations for prediction of pressuremeter soil deformation moduli utilizing expression programming systems. NEURAL COMPUTING & APPLICATIONS, 23(6), 1771-1786.Springer Science and Business Media LLC. doi: 10.1007/s00521-012-1144-6.

Aminian, P., Niroomand, H., Gandomi, A.H., Alavi, A.H., & Esmaeili, M.A. (2013). New design equations for assessment of load carrying capacity of castellated steel beams: a machine learning approach. NEURAL COMPUTING & APPLICATIONS, 23(1), 119-131.Springer Science and Business Media LLC. doi: 10.1007/s00521-012-1138-4.

Babanajad, S.K., Gandomi, A.H., Mohammadzadeh S, D., & Alavi, A.H. (2013). Numerical modeling of concrete strength under multiaxial confinement pressures using linear genetic programming. AUTOMATION IN CONSTRUCTION, 36, 136-144.Elsevier BV. doi: 10.1016/j.autcon.2013.08.016.

Gandomi, A.H., & Alavi, A.H. (2013). Expression Programming Techniques for Formulation of Structural Engineering Systems. In Metaheuristic Applications in Structures and Infrastructures. (pp. 439-455).Elsevier. doi: 10.1016/b978-0-12-398364-0.00018-8.

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., Alavi, A.H., Shadmehri, D.M., & Sahab, M.G. (2013). An empirical model for shear capacity of RC deep beams using genetic-simulated annealing. ARCHIVES OF CIVIL AND MECHANICAL ENGINEERING, 13(3), 354-369.Springer Science and Business Media LLC. doi: 10.1016/j.acme.2013.02.007.

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. (2013). Cuckoo search algorithm: a metaheuristic approach to solve structural optimization problems (vol 29, pg 17, 2013). ENGINEERING WITH COMPUTERS, 29(2), 245.Springer Science and Business Media LLC. doi: 10.1007/s00366-012-0308-4.

Gandomi, A.H., Yang, X.S., & Alavi, A.H. (2013). Cuckoo search algorithm: a metaheuristic approach to solve structural optimization problems. ENGINEERING WITH COMPUTERS, 29(1), 17-35.Springer Science and Business Media LLC. doi: 10.1007/s00366-011-0241-y.

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 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). 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). 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.

Gandomi, A.H., Yun, G.J., & Alavi, A.H. (2013). An evolutionary approach for modeling of shear strength of RC deep beams. MATERIALS AND STRUCTURES, 46(12), 2109-2119.Springer Science and Business Media LLC. doi: 10.1617/s11527-013-0039-z.

Mousavi, S.M., Alavi, A.H., Mollahasani, A., Gandomi, A.H., & Esmaeili, M.A. (2013). Formulation of soil angle of shearing resistance using a hybrid GP and OLS method. ENGINEERING WITH COMPUTERS, 29(1), 37-53.Springer Science and Business Media LLC. doi: 10.1007/s00366-011-0242-x.

Sadrossadat, E., Soltani, F., Mousavi, S.M., Marandi, S.M., & Alavi, A.H. (2013). A NEW DESIGN EQUATION FOR PREDICTION OF ULTIMATE BEARING CAPACITY OF SHALLOW FOUNDATION ON GRANULAR SOILS. JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT, 19(Supplement_1), S78-S90.Vilnius Gediminas Technical University. doi: 10.3846/13923730.2013.801902.

Song, X., Wang, J., & Wang, B. (2013). Robust blind adaptive beamforming under double constraints. NEURAL COMPUTING & APPLICATIONS, 22(2), 295-302.Springer Science and Business Media LLC. doi: 10.1007/s00521-011-0684-5.

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.

Wang, G., Zhang, W.Y., Ning, Q., & Chen, H.L. (2013). A Novel Framework Based on ACO and PSO for RNA Secondary Structure Prediction. MATHEMATICAL PROBLEMS IN ENGINEERING, 2013, 1-8.Hindawi Limited. doi: 10.1155/2013/796304.

Wang, G.G., Gandomi, A.H., & Alavi, A.H. (2013). A chaotic particle-swarm krill herd algorithm for global numerical optimization. KYBERNETES, 42(6), 962-978.Emerald. doi: 10.1108/K-11-2012-0108.

Wang, G.G., Guo, L., Gandomi, A.H., Alavi, A.H., & Duan, H. (2013). Simulated Annealing-Based Krill Herd Algorithm for Global Optimization. ABSTRACT AND APPLIED ANALYSIS, 2013, 1-11.Hindawi Limited. doi: 10.1155/2013/213853.

Alavi, A.H., & Gandomi, A.H. (2012). Discussion on "Models to predict the deformation modulus and the coefficient of subgrade reaction for earth filling structures" by Ismail Dincer [Adv. Eng. Software 42 (2011) 160-171]. ADVANCES IN ENGINEERING SOFTWARE, 52, 44-46.Elsevier BV. doi: 10.1016/j.advengsoft.2012.06.001.

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.

Alavi, A.H., Gandomi, A.H., & Mollahasani, A. (2012). A Genetic Programming-Based Approach for the Performance Characteristics Assessment of Stabilized Soil. In Variants of Evolutionary Algorithms for Real-World Applications. 9783642234248, (pp. 343-376).Springer Berlin Heidelberg. doi: 10.1007/978-3-642-23424-8_11.

Alavi, A.H., Gandomi, A.H., & Mousavi, S.M. (2012). Discussion on "Prediction of shear strength parameters of soils using artificial neural networks and multivariate regression methods". ENGINEERING GEOLOGY, 137, 107-108.Elsevier BV. doi: 10.1016/j.enggeo.2012.03.011.

Alavi, A.H., Mollahasani, A., Gandomi, A.H., & Bazaz, J.B. (2012). Formulation of secant and reloading soil deformation moduli using multi expression programming. ENGINEERING COMPUTATIONS, 29(1-2), 173-197.Emerald. doi: 10.1108/02644401211206043.

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.

Gandomi, A.H., & Alavi, A.H. (2012). A new multi-gene genetic programming approach to non-linear system modeling. Part II: geotechnical and earthquake engineering problems. NEURAL COMPUTING & APPLICATIONS, 21(1), 189-201.Springer Science and Business Media LLC. doi: 10.1007/s00521-011-0735-y.

Gandomi, A.H., & Alavi, A.H. (2012). A new multi-gene genetic programming approach to nonlinear system modeling. Part I: materials and structural engineering problems. NEURAL COMPUTING & APPLICATIONS, 21(1), 171-187.Springer Science and Business Media LLC. doi: 10.1007/s00521-011-0734-z.

Gandomi, A.H., Babanajad, S.K., Alavi, A.H., & Farnam, Y. (2012). Novel Approach to Strength Modeling of Concrete under Triaxial Compression. JOURNAL OF MATERIALS IN CIVIL ENGINEERING, 24(9), 1132-1143.American Society of Civil Engineers (ASCE). doi: 10.1061/(ASCE)MT.1943-5533.0000494.

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.

Mollahasani, A., Alavi, A.H., & Gandomi, A.H. (2012). Reply to Comments on "Empirical modelling of plate load test moduli of soil via gene expression programming" by Ali Mollahasani, Amir Hossein Alavi, Amir Hossein Gandomi [Computers and Geotechnics 38 (2011) 281-286]. COMPUTERS AND GEOTECHNICS, 39, 73-74.Elsevier BV. doi: 10.1016/j.compgeo.2011.08.009.

Mousavi, S.M., Aminian, P., Gandomi, A.H., Alavi, A.H., & Bolandi, H. (2012). A new predictive model for compressive strength of HPC using gene expression programming. ADVANCES IN ENGINEERING SOFTWARE, 45(1), 105-114.Elsevier BV. doi: 10.1016/j.advengsoft.2011.09.014.

Rashed, A., Bazaz, J.B., & Alavi, A.H. (2012). Nonlinear modeling of soil deformation modulus through LGP-based interpretation of pressuremeter test results. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 25(7), 1437-1449.Elsevier BV. doi: 10.1016/j.engappai.2011.11.008.

Zargari, S.A., Siabil, S.Z., Alavi, A.H., & Gandomi, A.H. (2012). A computational intelligence-based approach for short-term traffic flow prediction. EXPERT SYSTEMS, 29(2), 124-142.Wiley. doi: 10.1111/j.1468-0394.2010.00567.x.

Alavi, A.H., & Gandomi, A.H. (2011). Prediction of principal ground-motion parameters using a hybrid method coupling artificial neural networks and simulated annealing. COMPUTERS & STRUCTURES, 89(23-24), 2176-2194.Elsevier BV. doi: 10.1016/j.compstruc.2011.08.019.

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.

Alavi, A.H., Ameri, M., Gandomi, A.H., & Mirzahosseini, M.R. (2011). Formulation of flow number of asphalt mixes using a hybrid computational method. CONSTRUCTION AND BUILDING MATERIALS, 25(3), 1338-1355.Elsevier BV. doi: 10.1016/j.conbuildmat.2010.09.010.

Alavi, A.H., Aminian, P., Gandomi, A.H., & Esmaeili, M.A. (2011). Genetic-based modeling of uplift capacity of suction caissons. EXPERT SYSTEMS WITH APPLICATIONS, 38(10), 12608-12618.Elsevier BV. doi: 10.1016/j.eswa.2011.04.049.

Alavi, A.H., Gandomi, A.H., Modaresnezhad, M., & Mousavi, M. (2011). New Ground-Motion Prediction Equations Using Multi Expression Programing. JOURNAL OF EARTHQUAKE ENGINEERING, 15(4), 511-536.Informa UK Limited. doi: 10.1080/13632469.2010.526752.

Divsalar, M., Firouzabadi, A.K., Sadeghi, M., Behrooz, A.H., & Alavi, A.H. (2011). Towards the prediction of business failure via computational intelligence techniques. EXPERT SYSTEMS, 28(3), 209-226.Wiley. doi: 10.1111/j.1468-0394.2011.00580.x.

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., & Yun, G.J. (2011). Formulation of uplift capacity of suction caissons using multi expression programming. KSCE JOURNAL OF CIVIL ENGINEERING, 15(2), 363-373.Springer Science and Business Media LLC. doi: 10.1007/s12205-011-1117-9.

Gandomi, A.H., Alavi, A.H., & Yun, G.J. (2011). Nonlinear modeling of shear strength of SFRC beams using linear genetic programming. STRUCTURAL ENGINEERING AND MECHANICS, 38(1), 1-25.Techno-Press. doi: 10.12989/sem.2011.38.1.001.

Gandomi, A.H., Alavi, A.H., Mirzahosseini, M.R., & Moghadas Nejad, F. (2011). Nonlinear Genetic-Based Models for Prediction of Flow Number of Asphalt Mixtures. JOURNAL OF MATERIALS IN CIVIL ENGINEERING, 23(3), 248-263.American Society of Civil Engineers (ASCE). doi: 10.1061/(ASCE)MT.1943-5533.0000154.

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., Tabatabaei, S.M., Moradian, M.H., Radfar, A., & Alavi, A.H. (2011). A new prediction model for the load capacity of castellated steel beams. JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH, 67(7), 1096-1105.Elsevier BV. doi: 10.1016/j.jcsr.2011.01.014.

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.

Mirzahosseini, M.R., Aghaeifar, A., Alavi, A.H., Gandomi, A.H., & Seyednour, R. (2011). Permanent deformation analysis of asphalt mixtures using soft computing techniques. EXPERT SYSTEMS WITH APPLICATIONS, 38(5), 6081-6100.Elsevier BV. doi: 10.1016/j.eswa.2010.11.002.

Mollahasani, A., Alavi, A.H., & Gandomi, A.H. (2011). Empirical modeling of plate load test moduli of soil via gene expression programming. COMPUTERS AND GEOTECHNICS, 38(2), 281-286.Elsevier BV. doi: 10.1016/j.compgeo.2010.11.008.

Mollahasani, A., Alavi, A.H., Gandomi, A.H., & Rashed, A. (2011). Nonlinear neural-based modeling of soil cohesion intercept. KSCE JOURNAL OF CIVIL ENGINEERING, 15(5), 831-840.Springer Science and Business Media LLC. doi: 10.1007/s12205-011-1154-4.

Mousavi, S.M., Alavi, A.H., Gandomi, A.H., & Mollahasani, A. (2011). Nonlinear genetic-based simulation of soil shear strength parameters. JOURNAL OF EARTH SYSTEM SCIENCE, 120(6), 1001-1022.Springer Science and Business Media LLC. doi: 10.1007/s12040-011-0119-9.

Mousavi, S.M., Alavi, A.H., Mollahasani, A., & Gandomi, A.H. (2011). A hybrid computational approach to formulate soil deformation moduli obtained from PLT. ENGINEERING GEOLOGY, 123(4), 324-332.Elsevier BV. doi: 10.1016/j.enggeo.2011.09.005.

Alavi, A.H., Gandomi, A.H., & Gandomi, M. (2010). Comment on 'Sivapragasam C, Maheswaran R, Venkatesh V. 2008. Genetic programming approach for flood routing in natural channels. Hydrological Processes 22: 623-628'. HYDROLOGICAL PROCESSES, 24(6), 798-799.Wiley. doi: 10.1002/hyp.7511.

Alavi, A.H., Gandomi, A.H., & Heshmati, A.A.R. (2010). Discussion on "Soft computing approach for real-time estimation of missing wave heights" by SN Londhe [Ocean Engineering 35 (2008) 1080-1089]. OCEAN ENGINEERING, 37(13), 1239-1240.Elsevier BV. doi: 10.1016/j.oceaneng.2010.06.003.

Alavi, A.H., Gandomi, A.H., Mollahassani, A., Heshmati, A.A., & Rashed, A. (2010). Modeling of maximum dry density and optimum moisture content of stabilized soil using artificial neural networks. JOURNAL OF PLANT NUTRITION AND SOIL SCIENCE, 173(3), 368-379.Wiley. doi: 10.1002/jpln.200800233.

Alavi, A.H., Gandomi, A.H., Mousavi, M., & Mollahasani, A. (2010). High-precision modeling of uplift capacity of suction caissons using a hybrid computational method. GEOMECHANICS AND ENGINEERING, 2(4), 253-280.Techno-Press. doi: 10.12989/gae.2010.2.4.253.

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., & Sahab, M.G. (2010). New formulation for compressive strength of CFRP confined concrete cylinders using linear genetic programming. MATERIALS AND STRUCTURES, 43(7), 963-983.Springer Science and Business Media LLC. doi: 10.1617/s11527-009-9559-y.

Gandomi, A.H., Alavi, A.H., & Taghipour, A. (2010). Discussion on "Alternative data-driven methods to estimate wind from waves by inverse modeling" by Mansi Daga, M. C. Deo [Natural Hazards (2008) NHAZ 524, Article 9299, DOI 10.1007/s11069-008-9299-2]. NATURAL HAZARDS, 52(3), 671-673.Springer Science and Business Media LLC. doi: 10.1007/s11069-009-9400-5.

Gandomi, A.H., Alavi, A.H., Arjmandi, P., Aghaeifar, A., & Seyednour, R. (2010). GENETIC PROGRAMMING AND ORTHOGONAL LEAST SQUARES: A HYBRID APPROACH TO MODELING THE COMPRESSIVE STRENGTH OF CFRP-CONFINED CONCRETE CYLINDERS. JOURNAL OF MECHANICS OF MATERIALS AND STRUCTURES, 5(5), 735-753.Mathematical Sciences Publishers. doi: 10.2140/jomms.2010.5.735.

Gandomi, A.H., Alavi, A.H., Sahab, M.G., & Arjmandi, P. (2010). Formulation of elastic modulus of concrete using linear genetic programming. JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY, 24(6), 1273-1278.Springer Science and Business Media LLC. doi: 10.1007/s12206-010-0330-7.

Mousavi, S.M., Alavi, A.H., Gandomi, A.H., Esmaeili, M.A., & Gandomi, M. (2010). A data mining approach to compressive strength of CFRP-confined concrete cylinders. STRUCTURAL ENGINEERING AND MECHANICS, 36(6), 759-783.Techno-Press. doi: 10.12989/sem.2010.36.6.759.

Mousavi, S.M., Gandomi, A.H., Alavi, A.H., & Vesalimahmood, M. (2010). Modeling of compressive strength of HPC mixes using a combined algorithm of genetic programming and orthogonal least squares. STRUCTURAL ENGINEERING AND MECHANICS, 36(2), 225-241.Techno-Press. doi: 10.12989/sem.2010.36.2.225.

Shahnazari, H., Dehnavi, Y., & Alavi, A.H. (2010). Numerical modeling of stress-strain behavior of sand under cyclic loading. ENGINEERING GEOLOGY, 116(1-2), 53-72.Elsevier BV. doi: 10.1016/j.enggeo.2010.07.007.

Yaghouby, F., Ayatollahi, A., Bahramali, R., Yaghouby, M., & Alavi, A.H. (2010). Towards automatic detection of atrial fibrillation: A hybrid computational approach. COMPUTERS IN BIOLOGY AND MEDICINE, 40(11-12), 919-930.Elsevier BV. doi: 10.1016/j.compbiomed.2010.10.004.

Alavi, A.H., Gandomi, A.H., Gandomi, M., & Sadat Hosseini, S.S. (2009). Prediction of maximum dry density and optimum moisture content of stabilised soil using RBF neural networks. The IES Journal Part A: Civil & Structural Engineering, 2(2), 98-106.Informa UK Limited. doi: 10.1080/19373260802659226.

Gandomi, A.H., & Alavi, A.H. (2009). Discussion on "Predicting the shear strength of reinforced concrete beams using artificial neural networks" by MY Mansour, M. Dicleli, JY Lee, J. Zhang [Eng Struct 26 (2004) 781-799]. ENGINEERING STRUCTURES, 31(11), 2801.Elsevier BV. doi: 10.1016/j.engstruct.2009.06.014.

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.

Gandomi, A.H., Alavi, A.H., & Hosseini, S.S.S. (2008). A Discussion on "Genetic programming for retrieving missing information in wave records along the west coast of India" [Applied Ocean Research 2007; 29 (3): 99-111]. APPLIED OCEAN RESEARCH, 30(4), 338-339.Elsevier BV. doi: 10.1016/j.apor.2009.02.001.

Alavi, A.H. (1986). The clinic presentation of hepatocellular carcinoma by bone secondaries: a report of 25 cases. Ethiop Med J, 24(1), 71-73.

ALAVI, A.H. (1985). MASSIVE HEMOPERITONEUM FOLLOWING RUPTURE OF HEPATOMA - REPORT OF 3 AUTOPSY CASES. EAST AFRICAN MEDICAL JOURNAL, 62(6), 415-419.

Monga, S., Alavi, A.H., & Trivedi, K.K. (1976). Clear-cell sarcoma of palmar aponeurosis and tendons. Indian J Pathol Microbiol, 19(1), 67-69.

Bolandi, H., Banzhaf, W., Lajnef, N., Barri, K., & Alavi, A.H. An Intelligent Model for the Prediction of Bond Strength of FRP Bars in Concrete: A Soft Computing Approach. Technologies, 7(2), 42.MDPI AG. doi: 10.3390/technologies7020042.

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., & Chang, Y.S. (2017). Message from the Program Chairs. In 2017 IEEE 7th International Symposium on Cloud and Service Computing (SC2), 2018-January, (pp. xii-xiii).IEEE. doi: 10.1109/sc2.2017.6.

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 Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2017, 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 Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2017, 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 Smart Materials and Nondestructive Evaluation for Energy Systems 2017, 10171.SPIE. doi: 10.1117/12.2268448.

Pais, J.C., & Pereira, P. (2017). A model to adjust the falling weight deflections due to temperature variations. In Bearing Capacity of Roads, Railways and Airfields - Proceedings of the 10th International Conference on the Bearing Capacity of Roads, Railways and Airfields, BCRRA 2017, (pp. 751-756).CRC Press. doi: 10.1201/9781315100333-99.

Roberts, J.D. (2017). A layered pavement structural and remaining capacity model by analysis of FWD and TSD data. In Bearing Capacity of Roads, Railways and Airfields - Proceedings of the 10th International Conference on the Bearing Capacity of Roads, Railways and Airfields, BCRRA 2017, (pp. 701-709).CRC Press. doi: 10.1201/9781315100333-93.

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.

Wang, G.G., Deb, S., Gandomi, A.H., & Alavi, A.H. (2015). A Hybrid PBIL-Based Krill Herd Algorithm. In 2015 3rd International Symposium on Computational and Business Intelligence (ISCBI), (pp. 39-44).IEEE. doi: 10.1109/iscbi.2015.14.

Wang, G.G., Deb, S., Gandomi, A.H., Zhang, Z., & Alavi, A.H. (2014). A Novel Cuckoo Search with Chaos Theory and Elitism Scheme. In 2014 International Conference on Soft Computing and Machine Intelligence, (pp. 64-69).IEEE. doi: 10.1109/iscmi.2014.8.

Gandomi, A.H., Alavi, A.H., Ting, T.O., & Yang, X.S. (2013). Intelligent Modeling and Prediction of Elastic Modulus of Concrete Strength via Gene Expression Programming. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7928 LNCS(PART 1), (pp. 564-571).Springer Berlin Heidelberg. doi: 10.1007/978-3-642-38703-6_66.

Montazeri, M., Alavi, A., Rahmat jou, H., Mehr Ardestani, J., & Jadali pour, H. (2013). Real time substation distributed control system simulator development based on IEC 61850 standard for a sample substation (case study: Sheikh bahayi substation 400/230/63KV). In 2013 Smart Grid Conference (SGC).IEEE. doi: 10.1109/sgc.2013.6733820.

Heshmati, R.A.A., Alavi, A.H., Keramati, M., & Gandomi, A.H. (2009). A Radial Basis Function Neural Network Approach for Compressive Strength Prediction of Stabilized Soil. In Road Pavement Material Characterization and Rehabilitation, (191), (pp. 147-153).American Society of Civil Engineers. doi: 10.1061/41043(350)20.

Alavi, A.H., Heshmati, A.A., Gandomi, A.H., Askarinejad, A., & Mirjalili, M. (2008). Utilisation of computational intelligence techniques for stabilised soil. In Proceedings of the 6th International Conference on Engineering Computational Technology.

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.

Gandomi, A.H., Alavi, A.H., Sahab, M.G., Gandomi, M., & Gorji, M.S. (2008). Empirical models for prediction of flexural resistance and initial stiffness of welded beam-column joints. In EASEC-11 - Eleventh East Asia-Pacific Conference on Structural Engineering and Construction.

Gandomi, A.H., Alavi, A.H., Sahab, M.G., Gandomi, M., & Safari Gorji, M. (2008). Empirical models for the prediction of flexural resistance and initial stiffness of welded beam-column joints. In EASEC-11 - Eleventh East Asia-Pacific Conference on Structural Engineering and Construction.

Research interests

Data Science
Energy Harvesting
Machine Learning
Mechanical Metamaterial
Multifunctional Structures
Optimization
Structural Health Monitoring