Pantea Keikhosrokiani

PhD
Docent, AI-Augmented Systems for Digital Health
Postdoc Researcher, 6G-enabled sustainable society (6GESS)

Empirical Software Engineering in Software, Systems and Services
Faculty of Information Technology and Electrical Engineering

Pantea Keikhosrokiani's research primarily focuses on AI-augmented medical systems and software, aimed at enhancing user experiences and interactions to promote health and well-being. As a member of the 6G-enabled Sustainable Society (6GESS), her research endeavors to integrate innovative technologies to create a data-driven, hyper-connected future society that prioritizes citizen well-being. Her work addresses digital health challenges, improves medical decision-making processes, and delivers personalized user experiences. With a goal of leveraging AI's capabilities to transform healthcare with precision, she aims to develop predictive models and customized medical software solutions. Furthermore, her research on optimizing user-centered design aims to align technological advancements with human needs, thereby enhancing interaction quality between users and digital platforms through intelligent systems. Pantea Keikhosrokiani is also the author of the book Perspectives in the Development of Mobile Medical Information Systems: Life Cycle, Management, Methodological Approach, and Application (Elsevier, 2019) and the editor of Big Data Analytics for Healthcare (Elsevier, 2022).

Research interests

AI Systems
Medical Software
Digital Health
Empirical Studies
Opinion Mining
Behavioral Analytics

Researcher information

Researcher profiles

Thesis supervisions

Graduated PhD Thesis:
- Main supervisor, MANAL AHMAD SALEH AL-RAWASHDEH, Success Factors of Internet of Thing (IoT) Adoption Among Nurses, 2023.

Graduated Master Thesis:
- WADA MOHAMMED JINJIRI, Optimizing Adaptive Neuro Fuzzy Inference System (ANFIS) for Predicting Behavior Change among People with The Risk of Heart Disease, Master of Science (Computer Science), 2020.
- BHAVANI DEVI A/P RAVICHANDRAN, Covid-19 Misinformation Classification in social media Using a Hybrid Adaptive Neuro-Fuzzy Inferences System (ANFIS) and Deep Neural Network (DNN), Master of Science (Computer Science), 2023.
- Cheong Suk Fun, Prediction and classification of user behavior change towards Robo-advisor applications in Fintech, Master of Science (Computer Science), 2023.
- CHERYLL ANNE AUGUSTINE, Habit-Change Support Web-Based System for Hospitals, Master of Science (Computer Science), 2024.
- LEI HONGYANG, Chest X-Ray Image Recognition Based on Multimodal Representation Learning, Master of Science (Computer Science), 2022.
- WEN WEIHAO, Cardiac Arrhythmia Detection Using Hybrid 2d CNN-Transformer, Master of Science (Computer Science), 2022.
- LIU JINGMING, The Classification of Knowledge Workers' mental Workload Using Voting Ensemble Learning Via KNN-SVM-RF, Master of Science (Computer Science), 2022.
- A.BHANUPRIYA NAIDU A/P ANATHAN, Heartbeat Sound Classification Using A Hybrid Adaptive Neuro-Fuzzy Inferences System (Anfis) and Artificial Bee Colony, Master of Science (Computer Science), 2021.
- ISAAC TEOH YI ZHE, An Approach To Enhance Knowledge Workers Mental Workload Prediction, Master of Science (Computer Science), 2020.
- SITI AMINAH ABDULLAH, An Enhanced Adaptive Neuro-Fuzzy Model to Predict a mhealth System Success Rate, Master of Science (Computer Science), 2019.
- LEE KAH WIN, Retention Analysis, Prediction, and Prescription Using Machine Learning, Master of Science (Data Science and Analytics), 2022.
- ATINA NAJAHAN MOHD RASHIDI, A Machine Learning Approach to Classify Types of Dystopia in Indian Partition Literary Narratives, Master of Science (Data Science and Analytics), 2022.
- LEE CHOO HUI, Goodreads Recommendation System Using Hybrid Collaborative and Content Based Filtering, Master of Science (Data Science and Analytics), 2022.
- ELMI ABDIKADIR HUSSEIN, Opinion Mining from Literary Works Using Hybrid Machine Learning Model, Master of Science (Data Science and Analytics), 2022.
- JAYANTHI PANNERSELVAM, Predicting the Reading Habits for Reading Short Story Using Machine Learning, Master of Science (Data Science and Analytics), 2022.
- SHEALIN LIM SHEUE LING, Automated Wafer Gross Failure Area Detection Using Machine Learning, 2022.
- KHOR WENG JIE, Classification and Prediction of Employees' Mental Workload, 2022.
- ONG MEI YEE, Sentiment Analysis and Emotion Detection On Social Media Comments: The Case Study of Crazy Rich Asians Movie, 2022.
- SITI SYAHIRAH MUZLI, Muslim Name Classification by Using Machine Learning Model, 2022.
- RENOUTHANI A/P JAYENDRAN, Inventory Classification and Management System Using PowerBI Dashboard, 2021.
- ABADAH MAZIN SALIH KADHIM, Analytics of Public Reactions to The Covid-19 Vaccine on Twitter Using Sentiment Analysis and Topic Modeling, 2021.
- KNG CHUN KEAT, Sentiment Analysis, Topic Modelling and Emotion Detection on Historical Tweets, 2021.
- LAN ZHENGHUA, Opinion Mining about The Movie "Monster Hunter" From Social Media using Text Analytics, 2021.
- PUNETHAM A/P PAREMESWARAN, Prediction of Literary Prize Winners through the Analysis of Public Reactions to The Nominees: A Case Study of Booker Prize and International Booker Prize, 2021.
- YEAP ZHE CHYUAN, Sentiment Analysis of Public Reactions to the 2020 International Booker Prize, 2021.
- ZHAO XIAN, Sales Prediction and Product Recommendation through User Behavior Sales Prediction and Product Recommendation through User Behavior Analytics, 2021.
- GOH MAN FYE, Recommendation System in Pharmacy Ecommerce Website, 2021.
- CHU KAH EM, Detection and Visualization of Emotion in Fictional Coverage about Detection and Visualization of Emotion in Fictional Coverage about Imprisonment in Iranian Diasporic Life Writings, 2021.
- NURUL NAJIHA BINTI JAFERY, The Politics of Space in Life Writings by Middle Eastern Diasporic Women Writers: A Topic Modeling and Sentiment Analysis, 2021.
- OSAMA ABDELRAHMAN, Assembly Line Anomaly Detection and Root Cause Analysis Using Machine Learning, 2020.
- TAN PEI SENG, Adaptive Control of Robotic Arm with Adaptive Control of Robotic Arm with Deep Reinforcement Learning, 2020.
- SEA YUN YING, Opinion Mining on Viet Thanh Nguyen’s The Sympathizer (2015) Using Topic Modelling and Sentiment Analysis, 2020.
- ESRAA FAISAL MALIK GASIM, Text Analytics with R on Viet Thanh Nguyen's The Refugees (2017): A Spatial Reading, 2019.
- HAMEED JASIM DHAHIR HAMEED, A Theoretical Framework to Predict the Effects of DNA-Awareness on Engaging Obese People in Health Behavior Change System, Master of Informatics, 2022.
- LIN JIONG, Factors Affecting the Continuous Purchase Behavior of Online Education among Various Market Segments: The Case Study of New Oriental Online in China, 2022.
- YUANYA ZHUO, A Research on the Factors Influencing Consumer Behavior in Cross-border E-Commerce -A case study of Malaysia, 2022.
- ALHAWA MUSTAFA HASANAIN ALI, Predicting behavior change success factors model toward social commerce information system, 2022.
- MD HABIB AL MAMUN, Predicting Behavioral Intention to Use Health Behavior Change Support System (HBCSS) Among Obese Students at University Science Malaysia (USM), 2021.
- GAYATHIRI A/P VIJAYAN, Behaviour Change Framework towards using Business Intelligence in Industries, 2021.
- ZHANG HAO, Success factors contributing to viral marketing content generation, 2021.
- MUDASHIRU LATEEF OLUMIDE, Critical Success Factors as The Basis Of Business Intelligence Implementation for Improving SMEs’ Performances in Lagos, Nigeria, 2021.
- EZIMMUO CHIAMAKA MIRIAM, Behavior change towards using online shopping in Nigeria: The impact of covid-19 pandemic, 2021.
- SHOBAN BALAKIRUSHNAN, Development of Behaviour Change Support Framework Using Gamification for Individuals at Risk of Heart Disease, 2020.

Graduated Undergraduate Thesis:
- LI SHIYING, Employee Mental Workload Classification using Ensemble Machine Learning, 2021-2022.
- NURFATIN BINTI SOFIAN, A Hybrid Deep Learning Model for Classification of COVID-19 Vaccine Sentiments from Twitter, 2021-2022.
- FARAH MURSYIDAH BINTI FUAHAIDI, Technofree: Student Technotress Management System with Machine Learning Approach, 2021-2022.
- EZQIL FASHA BIN KAMAL FASHA, Opinion Mining from social media for Assessing Stress using, Ensemble Learning, 2021-2022.
- KOK BAI YUAN, Employee Mental Workload Management System with Data Analytical Features, 2021-2022.
- ASHLEY WANG SZE MEI, In-Home In-Hospital IoT-based Habit Change Management System for Decision Making, 2021-2022.
- TANG YEE PING, An Intelligent Cosmetics eCommerce Platform with Recommendation System and Gamification Features, 2021-2022.
- MUHAMAD AIMAN ZIKRI BIN MUHAMAD ASRI, COVID-19 News Classification Using Ensemble Learning, 2021-2022.
- RAAGA VILASSINI A/P RAJA, Predicting Educators Mental Workload Using Socio-Technological Tool and Machine Learning, 2021-2022.
- WAN CHAI XUAN, Habit-Change Mobile Application with Gamification Features for Obese Patients, 2021-2022.
Main supervisor, YEW VICKY, Habit-Change Hospital Big Data Analytics System for Doctors Decision Making, 2020-2021.
- NURUL HUSNA BINTI ROSLI, Big Medical Data Mining System for COVID-19 with AI features: Big Med System, 2020-2021.
Main supervisor, SHERRYLIN ANAK JOHN Predicting the effect of medical fake news related on COVID-19 on users’ habit change, 2020-2021.
- NUR SYAZA SYAMIMI BINTI MOHD ISMAILUZABIHULLAH, AI-Based Medicine Consultation System for Heart Disease Patient, 2020-2021.
- SITI MASTURA BINTI MOHAMED HUSSAIN, A location-based cardiac emergency system with Artificial Intelligence (AI) features, 2020-2021.
- ADIBAH BINTI RIDUAN, Artificial Intelligence (AI)-based Medical Decision Support system for heart disease patients, 2020-2021.
- NOR SARALYNA AZWA BINTI KAMARUDDIN, Heart Disease Patient Management Systems for Decision Making in Hospitals, 2020-2021.
- YEW VICKY, Habit-Change Hospital Big Data Analytics System for Doctors Decision Making, 2020-2021.
- SHERRYLIN ANAK JOHN, Predicting the effect of medical fake news related on COVID-19 on users’ habit change, 2020-2021.
- NURUL HUSNA BINTI ROSLI, Big Medical Data Mining System for COVID-19 with AI features: BigMed System, 2020-2021.
- ADIBAH BINTI RIDUAN, Artificial Intelligence (AI)-based Medical Decision Support system for heart disease patients, 2020-2021.
- SITI MASTURA BINTI MOHAMED HUSSAIN, A location-based mobile cardiac emergency system with Artificial Intelligence (AI) features, 2020-2021.
- NUR SYAZA SYAMIMI BINTI MOHD ISMAILUZABIHULLAH, Artificial Intelligence (AI) – Based Medicine Consultation System for Heart Disease Patient, 2020-2021.
- VAISHNAVI A/P YUDEYELJODI, Artificial Intelligence (AI)-based habit-change mobile app for healthier life style 2020-2021.
- NOR SARALYNA AZWA BINTI KAMARUDDIN, Heart Disease Patient Management Systems for Decision Making in Hospitals, 2020-2021.
- CHERYLL ANNE AUGUSTINE, A Habit-Change Support Web-Based System with Big Data Analytical Features for Hospitals (Doctive), 2019-2020.
- BHAVANI DEVI A/P RAVICHANDRAN, Project, An Emotional-Persuasive Habit-Change Support Mobile Application for Heart Disease Patients, 2019-2020.
- LIEW SET YEE, Big Data Analytics System for Hospitals, 2019-2020.

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Contact information

E-mail

pantea.keikhosrokiani@oulu.fi

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Keywords

Information systems and software artificial intelligence ICT medicine technologies for measuring health and well-being human–machine interaction