Pantea Keikhosrokiani

Pantea KeikhosrokianiPantea Keikhosrokiani is currently a postdoctoral researcher at the Faculty of Information Technology & Electrical Engineering as well as Faculty of Medicine as part of 6GESS program. She received the Bachelor of Science degree in electrical and electronics engineering. She further perused the master’s degree in information technology and PhD in service system engineering, information system from the School of Computer Sciences, Universiti Sains Malaysia (USM), Malaysia. She was a Teaching Fellow with the National Advanced IPv6 Centre of Excellence (Nav6), USM, where she is currently a Senior Lecturer with the School of Computer Sciences since 2018. Her recent books and articles were published by distinguished publishers (Elsevier, Springer, Taylors and Francis, and IGI Global). Her research interests include AI-augmented information systems, database systems, health and medical informatics, business intelligence, behavioral analytics, opinion mining, big data, and technopreneurship.

Publications

Data-Driven Business Intelligence Systems for Socio-Technical Organizations
Data-Driven Business Intelligence Systems for Socio-Technical Organizations
Pantea Keikhosrokiani. © 2024. 490 pages.
The convergence of modern technology and social dynamics have shaped the very fabric of today’s organizations, making the role of Business Intelligence (BI) profoundly...
Intersecting Minds and Machines: A Review of Behavioral Intentions Towards Health Intelligence Systems
Intersecting Minds and Machines: A Review of Behavioral Intentions Towards Health Intelligence Systems
Cheryll Anne Augustine, Pantea Keikhosrokiani, Nasuha Lee Abdullah. © 2024. 26 pages.
The integration of technology in the medical sector, particularly for data acquisition and analysis via the internet of health things (IoHT), offers significant potential for...
Deep-Mental Workload Intelligent System: An AI-Augmented System to Predict Employee Mental Workload Based on EEG Data Using Deep Learning
Deep-Mental Workload Intelligent System: An AI-Augmented System to Predict Employee Mental Workload Based on EEG Data Using Deep Learning
Guo Foong Ng, Pantea Keikhosrokiani, Minna Isomursu. © 2024. 31 pages.
Recently, the measurement of mental workload has emerged as a crucial aspect of well-being process in socio-technical organizations. Excessive mental workload reduces work...
Inventory Classification and Management System Using Machine Learning and Analytical Dashboard: A Case Study of a Manufacturing Industry
Inventory Classification and Management System Using Machine Learning and Analytical Dashboard: A Case Study of a Manufacturing Industry
Renouthani A. P. Jayendran, Pantea Keikhosrokiani, Sian Ling Chui. © 2024. 20 pages.
This chapter explores the integration of inventory management and machine learning, offering a comprehensive guide to harnessing analytical dashboards for improved...
Narrative Threads and Cinematic Connections Using Intelligent Systems to Enhance Movie Recommendations with Market Basket Analysis and Advanced Algorithms
Narrative Threads and Cinematic Connections Using Intelligent Systems to Enhance Movie Recommendations with Market Basket Analysis and Advanced Algorithms
Kah Win Lee, Pantea Keikhosrokiani, Jia Hui Wong, Moussa Pourya Asl. © 2024. 46 pages.
Movie streaming services are businesses driven by data and strategies to predict future viewing patterns based on historical data. Without unsupervised learning techniques...
Handbook of Research on Artificial Intelligence Applications in Literary Works and Social Media
Handbook of Research on Artificial Intelligence Applications in Literary Works and Social Media
Pantea Keikhosrokiani, Moussa Pourya Asl. © 2023. 376 pages.
Artificial intelligence has been utilized in a diverse range of industries as more people and businesses discover its many uses and applications. A current field of study that...
Handbook of Research on Consumer Behavioral Analytics in Metaverse and the Adoption of a Virtual World
Handbook of Research on Consumer Behavioral Analytics in Metaverse and the Adoption of a Virtual World
Pantea Keikhosrokiani. © 2023. 404 pages.
Although there are various studies on theories and analytical techniques to address consumer behavior change in the current world, tracking consumer behavior change in the...
Analytics of Public Reactions to the COVID-19 Vaccine on Twitter Using Sentiment Analysis and Topic Modelling
Analytics of Public Reactions to the COVID-19 Vaccine on Twitter Using Sentiment Analysis and Topic Modelling
Mazin Salih Kadhim Abadah, Pantea Keikhosrokiani, Xian Zhao. © 2023. 33 pages.
The number of new COVID-19 infections and deaths is still increasing worldwide, which led governments to take a series of mandatory actions. The COVID-19 vaccine announcement...
Introduction to Artificial Intelligence for the Analytics of Literary Works and Social Media: A Review
Introduction to Artificial Intelligence for the Analytics of Literary Works and Social Media: A Review
Pantea Keikhosrokiani, Moussa Pourya Asl. © 2023. 17 pages.
Advancement of artificial intelligence has opened new horizons for the analytics of literary texts and social media. However, the current studies are very limited, and there is...
An Artificial Intelligence Application of Theme and Space in Life Writings of Middle Eastern Women: A Topic Modelling and Sentiment Analysis Approach
An Artificial Intelligence Application of Theme and Space in Life Writings of Middle Eastern Women: A Topic Modelling and Sentiment Analysis Approach
Nurul Najiha Jafery, Pantea Keikhosrokiani, Moussa Pourya Asl. © 2023. 17 pages.
Recently, the revolutionary transformations in social and political landscapes as well as the remarkable developments in artificial intelligence reinforced the importance of...
A Machine Learning Approach to the Analytics of Representations of Violence in Khaled Hosseini's Novels
A Machine Learning Approach to the Analytics of Representations of Violence in Khaled Hosseini's Novels
Abdikadir Hussein Elmi, Pantea Keikhosrokiani, Moussa Pourya Asl. © 2023. 32 pages.
Over the past two decades, literary works from Afghanistan have sought to depict the extensive and increasing level of violence directed against individuals and communities. This...
Artificial Intelligence Framework for Opinion Mining of Netizen Readers' Reviews of Arundhati Roy's The God of Small Things
Artificial Intelligence Framework for Opinion Mining of Netizen Readers' Reviews of Arundhati Roy's The God of Small Things
Pantea Keikhosrokiani, Moussa Pourya Asl, Kah Em Chu, Nur Ain Nasuha Anuar. © 2023. 25 pages.
In recent years, South-Asian literature in English has experienced a surge of newfound love and popularity both in the local and the global market. In this regard, Arundhati...
Artificial Intelligence Applications in Literary Works: Emotion Extraction and Classification of Mohsin Hamid's Moth Smoke
Artificial Intelligence Applications in Literary Works: Emotion Extraction and Classification of Mohsin Hamid's Moth Smoke
Annuur Farahhim Zainol, Pantea Keikhosrokiani, Moussa Pourya Asl, Nur Ain Nasuha Anuar. © 2023. 21 pages.
The British Pakistani writer, Mohsin Hamid's debut novel, Moth Smoke (2000), has garnered conflicting responses from readers across the globe. Over the past few years and...
Artificial Intelligence and Human Rights Activism: A Case Study of Boochani's No Friend But the Mountains and His Tweets on Justice and Equality
Artificial Intelligence and Human Rights Activism: A Case Study of Boochani's No Friend But the Mountains and His Tweets on Justice and Equality
Chun Keat Kng, Pantea Keikhosrokiani, Moussa Pourya Asl. © 2023. 28 pages.
Behrouz Boochani, the Kurdish-Iranian author of No Friends But the Mountains, has been using social media platforms such as Twitter to speak up against social injustice and human...
A Concise Review on the Concept of Metaverse: Types, History, Features, and Technological Perspectives
A Concise Review on the Concept of Metaverse: Types, History, Features, and Technological Perspectives
David Roland Andembubtob, Pantea Keikhosrokiani, Nasuha Lee Abdullah. © 2023. 28 pages.
The advent of metaverse has generated a lot of enthusiasm and opened several opportunities for innovation, revolution, and creative thinking among users, customers, and...
A Review on Virtual Reality and Eduverse: History and Technical Perspectives
A Review on Virtual Reality and Eduverse: History and Technical Perspectives
David Roland Andembubtob, Pantea Keikhosrokiani, Nasuha Lee Abdullah. © 2023. 23 pages.
Due to the unique ability of making knowledge freely available anywhere at a very cheap cost, ICT is recognised as a key instrument for delivering excellent education. The new...
The Critical Success Factors of Metaverse Adoption in Education: From the Consumer Behaviour Perspective
The Critical Success Factors of Metaverse Adoption in Education: From the Consumer Behaviour Perspective
David Roland Andembubtob, Pantea Keikhosrokiani, Nasuha Lee Abdullah. © 2023. 33 pages.
Metaverse is considered one of the platforms that can be used for teaching and learning in higher education. In order to develop, adopt, and use an innovative application or...
Handbook of Research on Opinion Mining and Text Analytics on Literary Works and Social Media
Handbook of Research on Opinion Mining and Text Analytics on Literary Works and Social Media
Pantea Keikhosrokiani, Moussa Pourya Asl. © 2022. 462 pages.
Opinion mining and text analytics are used widely across numerous disciplines and fields in today’s society to provide insight into people’s thoughts, feelings, and stances. This...
Handbook of Research on Consumer Behavior Change and Data Analytics in the Socio-Digital Era
Handbook of Research on Consumer Behavior Change and Data Analytics in the Socio-Digital Era
Pantea Keikhosrokiani. © 2022. 458 pages.
The emergence of new technologies within the industrial revolution has transformed businesses to a new socio-digital era. In this new era, businesses are concerned with...
Text Analytics Model to Identify the Connection Between Theme and Sentiment in Literary Works: A Case Study of Iraqi Life Writings
Text Analytics Model to Identify the Connection Between Theme and Sentiment in Literary Works: A Case Study of Iraqi Life Writings
Nurul Najiha Jafery, Pantea Keikhosrokiani, Moussa Pourya Asl. © 2022. 18 pages.
The rapid advancements in data science techniques and approaches have influenced disciplines, such as literary studies, that are particularly engaged in qualitative text...
Opinion Mining and Text Analytics of Literary Reader Responses: A Case Study of Reader Responses to KL Noir Volumes in Goodreads Using Sentiment Analysis and Topic
Opinion Mining and Text Analytics of Literary Reader Responses: A Case Study of Reader Responses to KL Noir Volumes in Goodreads Using Sentiment Analysis and Topic
Nikmatul Husna Binti Suhendra, Pantea Keikhosrokiani, Moussa Pourya Asl, Xian Zhao. © 2022. 49 pages.
Text mining is an important field of study that has proved beneficial for scholars of various disciplines. Literary scholars use text mining to examine the data produced by...
Opinion Mining and Text Analytics of Reader Reviews of Yoko Ogawa's The Housekeeper and the Professor in Goodreads
Opinion Mining and Text Analytics of Reader Reviews of Yoko Ogawa's The Housekeeper and the Professor in Goodreads
Nurfatin Binti Sofian, Pantea Keikhosrokiani, Moussa Pourya Asl. © 2022. 23 pages.
With the development of online social network platforms and social cataloging applications, large amounts of datasets are being generated daily in the form of users' reviews...
Sentiment Analysis of the Harry Potter Series Using a Lexicon-Based Approach
Sentiment Analysis of the Harry Potter Series Using a Lexicon-Based Approach
Md Habib Al Mamun, Pantea Keikhosrokiani, Moussa Pourya Asl, Nur Ain Nasuha Anuar, Nurfarah Hadira Abdul Hadi, Thasnim Humida. © 2022. 29 pages.
The objective of this chapter is to conduct a sentiment analysis of the Harry Potter novel series written by British author J.K. Rowling. The text of the series is collected from...
An RFM Model Using K-Means Clustering to Improve Customer Segmentation and Product Recommendation
An RFM Model Using K-Means Clustering to Improve Customer Segmentation and Product Recommendation
Zhao Xian, Pantea Keikhosrokiani, Chew XinYing, Zuoyong Li. © 2022. 22 pages.
The COVID-19 pandemic instigated thousands of companies' closures and affected offline retail shops. Thus, online B2C business models enable traditional offline stores to...
Predicting Consumer Behavior Change Towards Using Online Shopping in Nigeria: The Impact of the COVID-19 Pandemic
Predicting Consumer Behavior Change Towards Using Online Shopping in Nigeria: The Impact of the COVID-19 Pandemic
Chiamaka Miriam Ezimmuo, Pantea Keikhosrokiani. © 2022. 45 pages.
This study aims to ascertain the factors responsible for the behavior change of consumers in Nigeria towards the use of online shopping as impacted by the COVID-19 pandemic. For...
A Hospital Information Management System With Habit-Change Features and Medial Analytical Support for Decision Making
A Hospital Information Management System With Habit-Change Features and Medial Analytical Support for Decision Making
Cheryll Anne Augustine, Pantea Keikhosrokiani. © 2022. 24 pages.
A hospital information management system (Doctive) with habit-change features and medial analytical support for decision making is developed in this study to reduce the risks of...
Predicating Smartphone Users' Behaviour Towards a Location-Aware IoMT-Based Information System: An Empirical Study
Predicating Smartphone Users' Behaviour Towards a Location-Aware IoMT-Based Information System: An Empirical Study
Pantea Keikhosrokiani. © 2021. 26 pages.
Heart disease is the number one killing disease in the world. It is imperative to use IoMT-based information system called iHeart that tracks patient's blood pressure, heart...
User Behavioral Intention Toward Using Mobile Healthcare System
User Behavioral Intention Toward Using Mobile Healthcare System
Pantea Keikhosrokiani, Norlia Mustaffa, Nasriah Zakaria, Ahmad Suhaimi Baharudin. © 2019. 16 pages.
This chapter introduces Mobile Healthcare Systems (MHS) and employs some theories to explore the behavioral intention of Smartphone users in Penang, Malaysia to use MHS. A survey...
User Behavioral Intention toward Using Mobile Healthcare System
User Behavioral Intention toward Using Mobile Healthcare System
Pantea Keikhosrokiani, Norlia Mustaffa, Nasriah Zakaria, Ahmad Suhaimi Baharudin. © 2015. 16 pages.
This chapter introduces Mobile Healthcare Systems (MHS) and employs some theories to explore the behavioral intention of Smartphone users in Penang, Malaysia to use MHS. A survey...