Amir H. Alavi

Amir H. Alavi
University of Pittsburgh | Pitt · Civil and Environmental Engineering & Bioenginerring

PhD

About

230
Publications
129,121
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
14,571
Citations

Publications

Publications (230)
Article
Full-text available
Online education has been facing difficulty in predicting the academic performance of students due to the lack of usage of learning process, summative data and a precise prediction of quantitative relations between variables and achievements. To address these two obstacles, this study develops an artificial intelligence-enabled prediction model for...
Article
Full-text available
There is an unmet need for developing a new class of smart medical implants with novel properties and advanced functionalities. Here, the concept of “self‐aware implants” is proposed to enable the creation of a new generation of multifunctional metamaterial implantable devices capable of responding to their environment, empowering themselves, and s...
Article
Multifunctional Metamaterial Implants In article number 2203533, Amir H. Alavi and co‐workers present a new generation of patient‐specific metamaterial orthopedic implants that can detect the bone healing progress. The so‐called “self‐aware implants” can respond to their environment, empower themselves, and self‐monitor their condition. Bench‐top t...
Conference Paper
Full-text available
Natural evolution has been a major source of inspiration for scientists for decades. Here, we aim to harness the power of natural evolution for automated design and discovery of novel forms of metastructures. In the proposed process, evolution takes place by randomly creating an initial population of metamaterial entities that will pass on their ge...
Conference Paper
Full-text available
We demonstrate our striking vision towards developing a new generation of multifunctional concrete materials with unprecedented mechanical properties. The proposed “metamaterial concrete” is based on the integration of snapping metamaterial and concrete design concepts. We show how integrating the concrete mixture with auxetic polymer structures wi...
Article
Full-text available
Triboelectric nanogenerators have received significant research attention in recent years. Structural design plays a critical role in improving the energy harvesting performance of triboelectric nanogenerators. Here, we develop the magnetic capsulate triboelectric nanogenerators (MC-TENG) for energy harvesting under undesirable mechanical excitatio...
Chapter
Full-text available
Recent advances in multifunctional material technologies have paved the way for the creation of innovative multifunctional structures. Exploring multifunctional structures with advanced functionalities is a major step toward a new era of autonomous structural systems for future smart cities. Autonomous structures can respond to their environment, s...
Chapter
Full-text available
This chapter presents state-of-the-art knowledge and cutting-edge innovations in the area of smart cities, advanced structural sensing and monitoring systems along with complementary technological paradigms. Various aspects of smart infrastructure and integrated components of structural health monitoring (SHM) and nondestructive testing and evaluat...
Article
Full-text available
Artificial intelligence (AI) and Machine learning (ML) train machines to achieve a high level of cognition and perform human-like analysis. Both AI and ML seemingly fit into our daily lives as well as complex and interdisciplinary fields. With the rise of commercial, open-source, and user-catered AI/ML tools, a key question often arises whenever AI...
Article
Full-text available
There is a critical shortage in research needed to explore a new class of multifunctional structural components that respond to their environment, empower themselves and self-monitor their condition. Here, the novel concept of triboelectric nanogenerator-enabled structural elements (TENG-SEs) is proposed to build the foundation for the next generat...
Article
Full-text available
Objective: This study investigates the feasibility of using a new self-powered sensing and data logging system for postoperative monitoring of spinal fusion progress. The proposed diagnostic technology directly couples a piezoelectric transducer signal into a Fowler-Nordheim (FN) quantum tunneling-based synchronized dynamical system to record the...
Article
Sand and dust storms (SDS) have long been considered as a type of disastrous weather. Minimizing the severe influence of SDS on the environment and human life has been the focus of many studies. In this paper, we report the principles and characteristics of SDS while mainly focusing on the monitoring technologies of the natural disaster. Space- and...
Article
Purpose Engineering design and operational decisions depend largely on deep understanding of applications that requires assumptions for simplification of the problems in order to find proper solutions. Cutting-edge machine learning algorithms can be used as one of the emerging tools to simplify this process. In this paper, we propose a novel scalab...
Article
Induced heating-healing of asphalt concrete is rapidly emerging as an innovative repairing technique in pavement engineering. In this method, asphalt concrete is heated using the external electromagnetic field. As a result, the viscosity of the asphalt binder decreases, leading to the movement of the asphalt binder through the cracks and healing th...
Article
Full-text available
In this paper, a new structural damage detection approach is proposed, based on monitoring of the magnetic field intensity variations using smartphones. Experimental and numerical studies are conducted on steel plates to verify the efficiency of the proposed approach. Various damage scenarios are introduced to the steel plates. Then, a smartphone m...
Article
Full-text available
Rapid development in structural health monitoring systems has led to the invention of various sensing technologies. Nonetheless, difficulties in deploying and maintaining traditional wired sensors and managing vast amount of data collated from a dense array of wired sensors were fundamental drawbacks of using such systems. Wireless sensor networks...
Article
Modern and heterogeneous asphalt mixtures are usually produced using various kinds of modifiers such as rubber, polymer, and fiber. These materials are incorporated to improve sustainability and reduce the extent and severity of distresses such as rutting and low-temperature cracking. Currently, there is a lack of a robust real-time method for the...
Article
Full-text available
Discovering novel multifunctional metamaterials with energy harvesting and sensing functionalities is likely to be the next technological evolution of the metamaterial science. Here, we introduce a novel concept called self-aware composite mechanical metamaterial (SCMM) that can transform mechanical metamaterials into nanogenerators and active sens...
Conference Paper
Full-text available
We present a two-stage method for detection and quantification of surface defects in concrete bridge decks using a hybrid deep learning and image processing technique. In the first stage, a multi classifier based on an integrated convolutional neural network and long short-term memory architecture is developed to detect cracking and spalling region...
Article
Full-text available
Over the past two decades, machine learning has been gaining significant attention for solving complex engineering problems. Genetic programing (GP) is an advanced framework that can be used for a variety of machine learning tasks. GP searches a program space instead of a data space without a need to pre-defined models. This method generates transp...
Article
Full-text available
The Hamburg wheel tracking test (HWTT) is a widely used testing procedure designed to accelerate and simulate the rutting phenomena in the laboratory. Rut depth, as one of the outputs of the HWTT, is dependent on a number of parameters related to mix design and testing conditions. This study introduces a new model for predicting the rutting depth o...
Conference Paper
Full-text available
This paper presents a deep learning approach for automated detection and quantification of cracks and spalls in concrete bridge decks. The proposed concrete defect detection approach is based on the integration of convolutional neural network with a long short-term memory architecture. Thousands of manually labeled images collected from the concret...
Article
Full-text available
This study presents a new geometry-based crack detection approach for plate structures based on the integration of a dynamic extended finite element method (XFEM) and a physics-based optimization algorithm called enhanced vibrating particles system (EVPS). The so-called XFEM-EVPS method is applied to solve a forward problem. The problem is unravele...
Article
Full-text available
Purpose Unbonded concrete overlays (UBOLs) are commonly used in pavement rehabilitation. The current models included in the Mechanistic-Empirical Pavement Design Guide cannot properly predict the structural response of UBOLs. In this paper, a multigene genetic programming (MGGP) approach is proposed to derive new prediction models for the UBOLs res...
Book
This book is a compendium of the proceedings of the International Conference on Big-Data and Cloud Computing. The papers discuss the recent advances in the areas of big data analytics, data analytics in cloud, smart cities and grid, etc. This volume primarily focuses on the application of knowledge which promotes ideas for solving problems of the s...
Article
Full-text available
Designing architected metastructures with desirable characteristics is typically associated with complex fabrication and testing procedures. The challenges ahead for nanoscale fabrication of these engineered structures lead to severe obstacles to investigate their complex design patterns and corresponding mechanical properties. Here, we introduce a...
Article
Swarm intelligence (SI) is the collective behavior of decentralized, self-organized natural or artificial systems. Monarch butterfly optimization (MBO) algorithm is a class of swarm intelligence metaheuristic algorithm inspired by the migration behavior of monarch butterflies. Through the migration operation and butterfly adjusting operation, indiv...
Article
Full-text available
This paper presents a vision-based crack detection approach for concrete bridge decks using an integrated one-dimensional convolutional neural network (1D-CNN) and long short-term memory (LSTM) method in the image frequency domain. The so-called 1D-CNN-LSTM algorithm is trained using thousands of images of cracked and non-cracked concrete bridge de...
Preprint
Full-text available
Rutting continues to be one of the principal distresses in asphalt pavements worldwide. This type of distress is caused by permanent deformation and shear failure of the asphalt mix under the repetition of heavy loads. The Hamburg wheel tracking test (HWTT) is a widely used testing procedure designed to accelerate, and to simulate the rutting pheno...
Article
Full-text available
This paper presents an enhanced adaptive global‐best harmony search (EAGHS) to solve global continuous optimization problems. The global‐best HS (GHS) is one of the strongest versions of the classical HS algorithm that hybridizes the concepts of swarm intelligence and conventional HS. However, randomized selection of harmony in the permissible inte...
Article
Full-text available
Mechanical metamaterials have opened an exciting venue for control and manipulation of architected structures in recent years. Research in the area of mechanical metamaterials has covered many of their fabrication, mechanism characterisation and application aspects. More recently, however, a paradigm shift has emerged to an exciting research direct...
Article
Full-text available
Elephant herding optimization (EHO) is a nature-inspired metaheuristic optimization algorithm based on the herding behavior of elephants. EHO uses a clan operator to update the distance of the elephants in each clan with respect to the position of a matriarch elephant. The superiority of the EHO method to several state-of-the-art metaheuristic algo...
Article
Full-text available
This study presents a new model for the prediction of rutting depth of asphalt mixtures using a machine learning technique called gene expression programming (GEP). A database containing a comprehensive collection of Hamburg test results is used to develop a GEP-based prediction model. The database includes 96 tests results for various asphalt mixt...
Article
Full-text available
An amendment to this paper has been published and can be accessed via a link at the top of the paper.
Article
Full-text available
Recently, there has been a growing interest in deploying smart materials as sensing components of structural health monitoring systems. In this arena, piezoelectric materials offer great promise for researchers to rapidly expand their many potential applications. The main goal of this study is to review the state-of-the-art piezoelectric-based sens...
Preprint
Full-text available
Machine learning (ML) is the field of training machines to achieve high level of cognition and perform human-like analysis. Since ML is a data-driven approach, it seemingly fits into our daily lives and operations as well as complex and interdisciplinary fields. With the rise of commercial, open-source and user-catered ML tools, a key question ofte...
Article
Full-text available
Recently, significant attention has been devoted to vaccine-derived poliovirus (VDPV) surveillance due to its severe consequences. Prediction of the outbreak incidence of VDPF requires an accurate analysis of the alarming data. The overarching aim to this study is to develop a novel hybrid machine learning approach to identify the key parameters th...
Article
Full-text available
Internet of Things (IoT) is changing the world by connecting billions of physical and virtual objects with distinctive identities to the Internet. This fusion results in generating huge volumes of data that might not be manageable using today's storage and data analytics technologies. Although cloud computing offers services to tackle this issue at...
Article
Full-text available
The elephant herding optimization (EHO) is a recent swarm intelligence algorithm. This algorithm simulates the clan updating and separation behavior of elephants. The EHO method has been successfully deployed in various fields. However, a more reliable implementation of the standard EHO algorithm still requires improving the control and selection o...
Article
Full-text available
The massive amount of data generated by structural health monitoring (SHM) systems usually affects the system’s capacity for data transmission and analysis. This paper proposes a novel concept based on the probability theory for data reduction in SHM systems. The beauty salient feature of the proposed method is that it alleviates the burden of coll...
Article
Full-text available
Pavement systems deteriorate during time due to the aging of materials, excessive use, overloading, climatic conditions, inadequate maintenance, and deficiencies in inspection methods. Proper evaluation of the pavement condition provides important decision support to implement preventative maintenance or to plan for rehabilitation. This study prese...
Article
Full-text available
Realistically predicting earthquake is critical for seismic risk assessment, prevention and safe design of major structures. Due to the complex nature of seismic events, it is challengeable to efficiently identify the earthquake response and extract indicative features from the continuously detected seismic data. These challenges severely impact th...
Article
Full-text available
Piezoelectric nanogenerator (PENG) has been reported as a green energy solution that generates electrical power from mechanical deformations resulted in the environment. Here, a novel design concept of PENG is reported based on mechanical metamaterials (MM). Plate-like MM with piezoelectric materials is designed in a sliding cell such that low freq...
Article
Full-text available
High-performance fiber reinforced concrete (HPFRC) has been reported as a repairing material to normal concrete (NC) structures due to its predominant mechanical performance. Here, we investigate the debonding behavior between HPFRC and NC subjected to direct shear loading. HPFRC specimens are fabricated and experimentally calibrated to determine t...
Article
Piezo-floating-gate (PFG) sensors are a class of self-powered sensors fabricated using piezoelectric transducers and p-channel floating-gate metal-oxide-semiconductor (pMOS) transistors. These sensors are equipped with a series of floating-gates that are triggered when the voltage generated by the piezoelectric transducers exceeds one of the specif...
Conference Paper
This paper presents a new multi-gene genetic programming (MGGP) approach for prediction of bond strength of Fiber Reinforced Polymers (FRP) bars to concrete. The MGGP technique models the bond behavior of FRP bars by integrating the capabilities of standard genetic programming and classical regression. The factors that affect the bond strength of F...
Article
Full-text available
Accurate prediction of bond behavior of fiber reinforcement polymer (FRP) concrete has a pivotal role in the construction industry. This paper presents a soft computing method called multi-gene genetic programming (MGGP) to develop an intelligent prediction model for the bond strength of FRP bars in concrete. The main advantage of the MGGP method o...
Article
Purpose Recycled waste glasses have been widely used in Portland cement and concrete as aggregate or supplementary cementitious material. Compressive strength is one of the most important properties of concrete containing waste glasses, providing information about the loading capacity, pozzolanic reaction and porosity of the mixture. This study aim...