Mohammad Fathian

• Professor
• Professor (Full) at Iran University of Science and Technology

Cloud Manufacturing (CMfg) enables flexible and customized manufacturing services through dynamic service composition. However, achieving optimal service composition remains challenging due to the need to meet complex Quality of Service (QoS) requirements, including cost, time, quality, and resource workload balance. Notably, previous studies on se...

Accurately predicting the remaining time of running cases is crucial for effective scheduling in business processes. To achieve accurate predictions, it is essential to consider the conditions and behavior of organizational resources, which significantly impact process completion times. Interactions between different cases can change resource condi...

The prevalence of insurance fraud in the auto industry poses significant financial challenges and undermines customer trust. Despite the application of machine learning methods to reduce these losses, current literature lacks effective tuned algorithms for detecting fraud in insurance claims. To address this gap, this study proposes an ensemble-bas...

Purpose: Interorganizational collaborations are crucial for delivering high-quality, integrated healthcare services. To maximize the benefits of these collaborative networks, effective governance structures and mechanisms must be in place. While previous studies have extensively examined organizational-level factors, such as partner capabilities an...

Objectives Identifying stable co-occurring symptoms in breast cancer (BC) patients during chemotherapy can improve symptom management and the treatment process. This study examines symptom cluster stability in Iranian BC patients receiving chemotherapy and evaluates stability across three-time points within each cluster. Methods This study collect...

This study contributes to the literature by introducing the role of “location information sharing strategy” in optimizing the closed-loop supply chain (CLSC) performance. In the investigated CLSC, one manufacturer collects the used products through two collectors. The collectors may face collection disruptions and adopt the location information sh...

By the spread of coronavirus disease 2019, the first option of most consumers for shopping is being e-marketplaces. As a result, under such a situation, e-marketplaces face intense competition. Accordingly, adopting an effective strategy for gaining more market share is significant for them. In the context of electronic marketplace literature, the...

Breast cancer remains a major public health challenge worldwide. The identification of accurate biomarkers is critical for the early detection and effective treatment of breast cancer. This study utilizes an integrative machine learning approach to analyze breast cancer gene expression data for superior biomarker and drug target discovery. Gene exp...

Predictive Process Monitoring (PPM) techniques leverage incomplete execution traces and historical event logs to predict outcomes, activities, and remaining time in ongoing processes. Accurately predicting process remaining time benefits process managers, enabling proactive decisions. A prediction model’s effectiveness extends beyond accuracy, emph...

As a special case of Social Influence Maximization (SIM) problems, the top k-influencers problem aims to identify the top k actors, called members of the seed set, in a network whose endorsement of a given action causes it to be chosen by the largest possible set of the network’s members, whose cardinality is called the influence spread (IS). Greed...

This study develops a research model to explain the acceptance of social banking. In order to find the antecedents of social banking intention, a meta-combination has been used. The results of a systematic review of the last decade of social commerce acceptance studies and the use of fuzzy Delphi and fuzzy DEMATEL methods led to the development of...

The top k-influencers problem, as a social influence maximization (SIM) problem, seeks out the best k actors, called the seed set, in a network with the greatest expected Influence Spread (IS). This problem is formulated as a mean-maximization of the IS with no consideration for the variance of the IS. Consequently, it is a risk-blind influence max...

Distributed computing paradigms such as cloud, mobile, Internet of Things, and Fog have enabled new modalities for building enterprise architectures through service composition. The fundamental premise is that the application can benefit from functionally equivalent services that can be traded in the cloud or services repositories. These services c...

In the current world, the Internet is being used almost everywhere. With the rise of IoT technology, which is one of the most used technologies, billions of IoT devices are interconnected over the Internet. However, DoS/DDoS attacks are the most frequent and perilous threat to this growing technology. New types of DDoS attacks are highly advanced a...

Social commerce as a new paradigm of commerce has been considered for about a decade. The first attempt to apply this paradigm is to examine its acceptance process. In this research, social commerce acceptance studies have been reviewed with primary and secondary search strategies. The main purpose of this research is to examine the acceptance proc...

With the massive incidence of cancer in recent centuries, it is crucial to carefully analyze the recorded information and provide a thought-out plan for patients’ treatment. A prevalent type of cancer among men, which takes many lives annually, is prostate cancer. The widespread use of machine learning methods can be beneficial for alleviating pros...

Microarray technology is known as one of the most important tools for collecting DNA expression data. This technology allows researchers to investigate and examine types of diseases and their origins. However, microarray data are often associated with a small sample size, a significant number of genes, imbalanced data, etc., making classification m...

Today, social networks are the most popular and widely used applications among smartphone users all around the world. Three years ago, the Telegram messaging app was the most widely used social messaging app in Iran due to its technical features and user-friendliness. Despite its popularity, Telegram caused controversial debates among policymakers...

The existence of fraud in credit card transactions causes many financial losses leading to customers’ loss of trust. Fraud detection methods based on machine learning techniques prevent such losses. Despite the literature on fraud detection, there is a lack of algorithms that detect fraud with acceptable performance in the credit card fraud detecti...

Among the novel IT paradigms, Cloud Computing and the Internet of Things (CloudIoT) are two complementary areas designed to support the creation of smart cities and application services. The CloudIoT not only presents ubiquitous services through IoT nodes, but it also provides virtually unlimited resources through services composition. Services com...

Feature selection is one of the important techniques of dimensionality reduction in data preprocessing because datasets generally have redundant and irrelevant features that adversely affect the performance and complexity of classification models. Feature selection has two main objectives, i.e., reducing the number of features and increasing classi...

The aim of this study is an internal and environmental analysis of e-commerce with a blockchain technology platform to identify and improve the existed status. The technique applied in this study is the use of SWOT analysis and its combination with AHP to quantify the importance of factors and detect their relation. First, the internal and external...

The proper location of facilities /service providers is of paramount importance in the business success of several economy sectors for the sake of its effects on the service demand and hence on the market share. A vital problem resulted from modernization, urbanization, and globalization is the reconfiguration of branch locations and service capabi...

Microarray technology is known as one of the most important tools for collecting DNA expression data. This technology allows researchers to investigate and examine types of diseases and their origins. However, microarray data are often associated with challenges such as small sample size, a significant number of genes, imbalanced data, etc. that ma...

Gamification as a new concept uses game elements in a novel way to engage users of a non-gaming system and can be used in many domains within an enterprise, to implement the organizational processes with lower costs, higher quality or in a more efficient way. Although there are many researches on gamification but a few studies can be found in the o...

Background: Considering the emergence of electronic health records and their related technologies, an increasing attention is paid to data driven approaches like machine learning, data mining, and process mining. The aim of this paper was to identify and classify these approaches to enhance the quality of clinical processes. Methods: In order to de...

Nowadays, gamification is used to improve the enterprises' relationship with customers and employees. Employee engagement as one of the significant achievements of gamification is a major factor for increasing organizational productivity. In this paper we try to theorize the role of gamification in the enterprises from the employee perspective. The...

Bidding strategy is an important part of a negotiation strategy in automated multi-issue negotiations. In order to present good offers, which help maximize the agent’s utility, we need to search the outcome space and find appropriate bids. Bid search can become challenging in large outcome spaces with more than ten thousands of possible bids. The t...

As a salient matter of decision, supply chain design and planning has been a point of attraction for both researchers and practitioners. In real-world problems, the data based on which the decision is made are subject to uncertainty. Robust optimization is a well-known approach developed for modeling the uncertainty in such cases. In this research,...

Determining an effective strategy for intelligent agents in multilateral negotiations is a more complicated problem than in bilateral negotiations. In order to achieve an optimal and beneficial agreement the agent needs to consider the behavior and desired utility of more than one opponent, determine a concession tactic based on a smaller agreement...

Drivers can make significant impacts on transportation systems. They can leave important information due to their social behaviors. But, the role of drivers has been overlooked yet. In this paper, for the first time, drivers' collaboration network is introduced. The network is considered in a heterogenous form, because of existence multiple relatio...

One of the most important solutions for dimensionality reduction in data preprocessing, and improving classification performance is gene selection in microarray data since they usually have several thousand genes with very few samples. Because of these characteristics, the complexity of classification models increases and their efficiency decreases...

In recent years, several gamification studies show that using personalized solutions can increase gamified systems’ effectiveness according to users’ differences. However, there is a little knowledge on how gamification can be tailored to individuals with different demographic and personality traits especially in the banking sector. To advance rese...

Nowadays, it is possible to easily utilize positive and negative effects of neighbors on a social network to maximize diffusion of a novel product and profit of the seller. Hence, this paper aims to introduce a new mathematical model for a product pricing in non-competitive environment having multiple goals. The proposed model is designed while the...

From the IoT perspective, each intelligent device can be considered as a potential source of service. Since several services perform the same function, albeit with different quality of service (QoS) parameters, service composition becomes a crucial problem to find an optimal set of services to automate a typical business process. The majority of pr...

The usage of social networks shows a growing trend in recent years. Due to a large number of online social networking users, there is a lot of data within these networks. Recently, advances in technology have made it possible to extract useful information about individuals and the interactions among them. In parallel, several methods and techniques...

Supply chain decision makers are constantly trying to improve the customer demand fulfillment process and reduce the associated costs via decision making models and techniques. As two of the most important parameters in a supply chain, supply and demand quantities are subject to uncertainty in many real-world situations. In addition, in recent deca...

Implementing a reputation system is an effective strategy to facilitate trust and security in an online environment. In addition to that, reputation systems can help online customers through decision-making process. However, in real-world situations, these systems have to deal with plenty of problems and challenges. This paper aims to solve four pr...

Nowadays, companies offer product bundles with special discounts in order to sell more products. However, it is important to note that customers show different levels of loyalties to companies, and each segment of the market has unique features, which influences the customers' buying patterns. The primary purpose of this paper is to propose a novel...

Finding groups of network users who are densely related with each other has emerged as an interesting problem in the area of social network analysis. These groups or so-called communities would be hidden behind the behavior of users. Most studies assume that such behavior could be understood by focusing on user interfaces, their behavioral attribut...

Online social networks have a strong potential to be divided into a number of dense substructures, called communities. In such heterogeneous networks, the communities refer not only to dense parts of links but also to clusters present among other dimensions such as users' profiles, comments, and information flows. To find communities in these netwo...

Traditional methods of marketing used to focus on covering a large number of customers with the same advertising methods and did not consider the various customer preferences. Despite the high cost of advertising, a small number of target customers were being attracted by these methods. With the advancement of information technology, Internet, e-co...

The objective of this study is to propose a new optimization model for the formation of a reliable team of experts, who have a certain number of skills and best collaboration with each other. The proposed mathematical model maximized team reliability by considering the probability of unreliable experts that may leave the team with the probability (...

Electronic retailers are the firms that receive the products from manufacturers and sell them directly to consumers. The determination of the products that are more likely to be purchased by the customers is important for electronic retailers. In this study, we have investigated the customers' buying patterns in an e-commerce website by using data...

Online social networks (OSNs) provide services targeting multifarious types of users in order to attract and retain them. For this purpose, developing new services according to user preferences has recently been under focused by various researchers. Most of present studies focus only on extracting the behavioral patterns of users, and neglect users...

Freight transportation activities could potentially lead to detrimental effects on the natural and built environments and pose health risks. The importance of the present study is to consider demand and travel time uncertainty in green transport planning by proposing several robust optimization techniques; soft worst case, hard worst case and chanc...

Money Laundering is the process of creating the appearance that large amounts of money obtained from serious crimes, such as drug trafficking or terrorist activity, originated from a legitimate source. Through money laundering, the launderer transforms the monetary proceeds derived from criminal activity into funds with an apparently legal source....

The increasing willingness to travel as well as the increasing number of airlines create a strong competitive market in the air transport industry. In such circumstances, paying attention to the market needs is the prerequisite of the success and profitability of the company. Hence, nowadays, airlines endeavor to provide their customers with approp...

Internet of Things (IoT) is an emerging technology which involved both research and industrial. Things can sense, understand, learn and infer their environment. Limited resource in IoT, tend us to Cloud IoT paradigm; Integration of cloud and IoT can overtake their exclusive limitation. Data collected from scattered things in wide area environment,...

Purpose Knowledge discovery in databases (KDD) is a tedious and repetitive process. A challenge for the effective use of KDD is understanding and confirming its results derived from the harmonized process. To exploit the advantages of agents’ application, this paper aims to propose a conceptual model based on a multi-agent system (MAS) to control e...

Purpose – Churn management is a fundamental process in firms to keep their customers. Therefore, predicting the customer’s churn is essential to facilitate such processes. The literature has introduced data mining approaches for this purpose. On the other hand, results indicate that performance of classification models increases by combining two or...

With the constantly increasing pressure of the competitive environment, supply chain (SC) decision makers are forced to consider several aspects of business climate. More specifically, they should take into account the endogenous features (e.g., available means of transportation, and the variety of products) and exogenous criteria (e.g., the enviro...

In vehicular ad-hoc network (VANET), vehicles are dynamic nodes communicating with each other by wireless technology in their own transmission range. Consequently, with regard to larger communication due to the greater number of vehicles and high mobility of nodes, communication management and creation of a stable network in VANET are most challeng...

One of the challenging problems when studying complex networks is the detection of sub-structures, called communities. Network communities emerge as dense parts, while they may have a few relationships to each other. Indeed, communities are latent among a mass of nodes and edges in a sparse network. This characteristic makes the community detection...

A vehicular ad hoc network (VANET) is a network in which vehicles acting as dynamic nodes communicate with each other. A VANET is a suitable piece of infrastructure for developing intelligent transportation systems. Stable communication within a VANET leads to enhanced driver safety and better traffic management. The clustering technique, which org...

Recommender systems help users faced with the problem of information overflow and provide personalized recommendations. Social networks are used for providing variety of business or social activities, or sometimes a combination of both. In this paper, by considering social network of users and according to users’ context and items, a new method...

Previous studies have not provided any information system (IS) solution for the supply chain (SC) performance measurement based on the Global Supply Chain Forum (GSCF) reference model due to the complexities of interoperability among the ISs in the SC. As an innovation, this paper has proposed an architecture that allows the SC Performance Measurem...

Clustering is one of the most widely used data mining techniques that can be used to create homogeneous clusters. K-means is one of the popular clustering algorithms that, despite its inherent simplicity, has also some major problems. One way to resolve these problems and improve the k-means algorithm is the use of evolutionary algorithms in cluste...

Online communities are a question answering environment where individuals can express their opinions freely. Quality of the information generated in the online community is dependent on the individual expertise level. If the individual has higher level of expertise, shared knowledge in online community is valuable and reliable. Experts ranking meth...

The purpose of this paper is to measure customer satisfaction in electronic retailing and analyse the situation of electronic retailer for recognising weak and strong points of a company's performance and also construct the satisfaction functions according to each criterion. Our research is based on an electronic retailing case study. Multi-criteri...

This study focuses on identifying customer's utility in online shopping. The utility is defined as the level of customer satisfaction in the online shopping experience. Our study is consisted of three phases: in the first phase, customers are segmented by K-means algorithm according to some demographic and preference properties. The optimal number...

The location-routing problem (LRP), which integrates location and routing decisions, has been an attraction to both researchers and practitioners. LRP as an important business problem has its own inherent uncertainty; especially, considering phenomena such as traffic congestion and weather conditions and their impact on transportation costs, routin...

One of the most important steps in designing a cellular manufacturing system is cell formation which includes grouping the machines in cells and the parts as part families, so that the costs are minimized. Several aspects of the problem should be taken into account in cell formation; more specifically, machines and their reliability are among the m...

Online communities are Internet-based virtual communities where anyone can post opinions freely. They provide a virtual environment where individuals from all over the world share and seek knowledge. There is too amount of information shared in online communities and there is no way to determine its authenticity, this is the most important challeng...

In this paper, dynamic dairy facility location and supply chain planning are studied through minimizing the costs of facility location, traffic congestion and transportation of raw/processed milk and dairy products under demand uncertainty. The proposed model dynamically incorporates possible changes in transportation network, facility investment c...

Social network based-recommendation has some benefits that it approach used for improve of recommendation systems. Recommendation systems are appropriate tools for provide useful and suitable recommendations in social networks. Nowadays web users are not only consumers of information, but they actively participate in social networks. We checked dim...

In recent years, with the expansion of electronic commerce, the number of customer online reviews available on the internet is growing rapidly. Lots of online merchant's websites ask the customers to leave a review about their experiences with the products. The reviews gathered from these websites are rich source of information for product developm...

The flexible job shop scheduling problem (FJSP) is an extension of the classical job shop scheduling problem (JSP) which allows an operation to be processed by any machine from a given set of machines. FJSP is NP-hard and presents two major difficulties. The first is to assign each operation to a machine out of a set of capable machines; and the se...

Several studies have been done on challenges of performance measurement. One of these challenges is the delay in the performance measurement processes. The scope and extend of the supply chain and tendency towards managing its entities independently increase this delay. Some scholars have suggested that automating the performance measurement proces...

The multiple departures single destination multiple travelling salesmen problem (MDmTSP) is a problem in which two or more salesmen start from any node of departure and finish their tour by reaching a single specific destination node. In many real-life problems, the decision should be made according to information which is both possibilistically im...

Social network based-recommendation has some benefits that it approach used for improve of recommendation systems. Recommendation systems are appropriate tools for provide useful and suitable recommendations in social networks. However, in recent years researches has been done on recommender systems on social network, but there is the lack of a co...

In this paper, the competition between two supply chains and their corresponding elements is modeled following the evolutionary games approach. Each of the supply chains consists of a supplier and a manufacturer. Customers are of one type and are sensitive to price and delivery time and receive identical services from the two supply chains. One of...

This article analyses the output rate in two‐ machine flexible robotic manufacturing cells. The flexible CNC machines in this manufacturing cell can process different operations. The manufactured parts in the cell are identical and it is assumed that different operations are required to manufacture each part. Moreover, loading/unloading time of a p...

The current dynamic and turbulent business environment has forced companies that are competing in global markets to change their traditional methods of conducting business. Recent developments in applying Information Technology (IT) offer the most exciting business opportunities in the marketplace. Organizations must re-evaluate every aspect of the...

Knowledge management is the process through which corporate knowledge is used to improve organizational performance. Essentially it looks at managing internal knowledge processes, developing the efficient usage of all information required for corporate decisions. Competitive intelligence (CI) is a process for gathering usable knowledge about the ex...

Nowadays organizations have realized the importance of knowledge and knowledge management. The organizations know that machines, equipments, and building cannot count as the most important properties of the organizations. It is clear that the most important property of every organization is organizational knowledge and correct management on it will...

This paper analyzes worldwide information technology (IT) policy trends development using technology-diffusion, policy-making models. After reviewing various types of technology transfer, the authors identified a framework based on the approach of 'Hanna'. The policy trends of 55 IT programs in 11 countries were positioned in the framework using a...

This paper aims at indicating the impacts of Structural Capital on implementation of e-business. At first a review on intellectual capital models is presented. Consequently the impacts of structural capital on e-business is illustrated with a case study in order to show how three major dimensions of structural capital, relational capital, process c...

This paper aims to empirically explore the effects of human capital on structural capital in Iranian e-business. A questionnaire-oriented survey from senior and top manager in Iranian information technology companies was utilized for regression analysis. The findings indicate that human capital significantly influences the three dimensions of struc...

Knowledge management is the process through which corporate knowledge is used to improve organizational performance. Essentially it looks at managing internal knowledge processes, developing the efficient usage of all information required for corporate decisions. Competitive intelligence (CI) is a process for gathering usable knowledge about the ex...

In this paper, the cyclic scheduling problems in 2-machine robotic cells have been studied. We investigated the timed Petri network graph for modeling the part sequencing and the optimal robot moves sequence in robotic manufacturing cells. The robotic manufacturing cell considered in this study has two identical machines and one single gripper robo...

With the growing online shopping in every society, especially in recent years in the developing countries like Iran, customer acquisition and retention have found an important role in business success. Retailers have moved toward value creation for customers. In virtual markets, customers are engaged to online retailers with value added features. U...

In this paper, the problem of predicting the exchange rate time series in the foreign exchange rate market is going to be solved using a time-delayed multilayer perceptron neural network with gold price as external factor. The input for the learning phase of the artificial neural network are the exchange rate data of the last five days plus the gol...

Information Technology Governance the responsibility of Board and Executive Management Organization and inseparable part of governance and the recipient organizational leadership structures and processes that will ensure, information technology strategy and organization goals and support their development said. Be comprehensive and dependence due t...

Security is considered one of the most important concerns in e-payment systems. Although using mobile devices for e-payment is growing rapidly, mobile devices have limitations such as memory and battery limitations. Many security schemes have been proposed for e-payments, however most of them are too heavy regarding mobile devices since they use pu...