Tan Chye Cheah

Contact

• workRoom BB71
  Malaysia Campus
  Jalan Broga
  43500 Semenyih
  Selangor Darul Ehsan
  Malaysia
• work+6 (03) 8924 8632
• ChyeCheah.Tan@nottingham.edu.my

Biography

Dr. Tan obtained his PhD from University of Nottingham, Malaysia and has a total of 15 years of work experience in both industry and academia. Experiences includes software engineer, teaching, academic administration, research, and research supervision for both undergraduate and post-graduate students. Prior to joining UNMC, he held the position of senior lecturer, School of Computing (‪2014-2021), at Asia Pacific University of Technology & Innovation (APU). Dr. Tan have been actively involved in various university-industry collaboration activities and entrepreneurship accelerator program. He is the academic advisor of Digital Internet Association Malaysia (iaM) and contributed to raise awareness and share the benefits of Digital & Internet technology through seminar, workshop, and hackathon. He also mentored students and won the award in Inotech, Asian Youth Innovation Awards, Science and Engineering Design Exhibition (SEDEX), Young International Innovation Exhibition (YIIX), CREST The Great Lab (TGL) Grand Design Challenge, "Hack for Good" IoT hackathon, Hilti IoT competition and more.

Teaching Summary

Current Teaching Modules:

COMP1044 Databases and Interfaces

COMP2039 Artificial Intelligence Methods

COMP2042 Developing Maintainable Software

Research Summary

I am primarily interested in applied research with strong commercial and business relevance, focusing on the development of practical and industry-driven intelligent solutions. My research interests… read more

Recent Publications

• CHAI, HUA YIAND TAN, CHYE CHEAH, 2026. Physics-Informed Hybrid Learning Model for Predictive Maintenance of Food Processing Equipment In: Computational Intelligence in Modern Engineering Systems. 33-39
• PING, HOO KAI and CHYE CHEAH, TAN, 2025. Hybrid Quantum Convolutional Neural Networks with Structured Quantum Layers and Expressivity Analysis In: 2025 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET). 292-297
• LEONG, TIN JET and TAN, CHYE CHEAH, 2025. TB Vision: An Integrated AI-Based Mobile and Web Framework for Latent Tuberculosis Infection Screening and Clinical Management In: 2025 IEEE 9th International Conference on Software Engineering & Computer Systems (ICSECS). 485-490
• TAN, YEE YANG and TAN, CHYE CHEAH, 2025. A Hierarchical Shifted-Window Time Series Transformer for Stock Market Index Price Forecasting In: 2025 IEEE 9th International Conference on Software Engineering & Computer Systems (ICSECS). 382-387

• View all publications

Current Research

I am primarily interested in applied research with strong commercial and business relevance, focusing on the development of practical and industry-driven intelligent solutions. My research interests span FinTech analytics for enhancing investment decision-making, quantum algorithms for improving computational efficiency, and AI-driven intelligent systems across manufacturing, healthcare, and finance. Through interdisciplinary research, I aim to bridge academic innovation with real-world industry needs by integrating advanced analytics, machine learning, and emerging computational technologies.

Financial Intelligence for Smart Investing

This research focuses on AI-driven investment, integrating financial reports, sentiment analysis, and market data to improve decision-making. It focuses on investor risk profiling, portfolio optimization, and asset price prediction across equities and cryptocurrencies, enabling adaptive and personalized investment strategies.

Quantum Algorithms

This research explores quantum computing to improve efficiency in solving complex computational problems. It focuses on translating classical algorithms into quantum frameworks, including Quantum Convolutional Neural Networks, for enhanced learning, optimization, and pattern recognition in high-dimensional data.

AI-Driven Intelligent Systems

This interdisciplinary research focuses on AI-powered intelligent applications across manufacturing, healthcare, and finance, integrating advanced analytics and machine learning. It aims to bridge academic innovation with industry needs by delivering practical, data-driven solutions that enhance efficiency, decision-making, and real-world operational performance.

• CHAI, HUA YIAND TAN, CHYE CHEAH, 2026. Physics-Informed Hybrid Learning Model for Predictive Maintenance of Food Processing Equipment In: Computational Intelligence in Modern Engineering Systems. 33-39
• PING, HOO KAI and CHYE CHEAH, TAN, 2025. Hybrid Quantum Convolutional Neural Networks with Structured Quantum Layers and Expressivity Analysis In: 2025 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET). 292-297
• LEONG, TIN JET and TAN, CHYE CHEAH, 2025. TB Vision: An Integrated AI-Based Mobile and Web Framework for Latent Tuberculosis Infection Screening and Clinical Management In: 2025 IEEE 9th International Conference on Software Engineering & Computer Systems (ICSECS). 485-490
• TAN, YEE YANG and TAN, CHYE CHEAH, 2025. A Hierarchical Shifted-Window Time Series Transformer for Stock Market Index Price Forecasting In: 2025 IEEE 9th International Conference on Software Engineering & Computer Systems (ICSECS). 382-387
• AHMAD FAZLAN, NIK ABDUL MUHAIMIN NIK and TAN, CHYE CHEAH, 2023. The Development of Simultaneous Congkak Game with Intelligent Agents In: 2023 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET). 224-229
• LO, YEN XUAN and TAN, CHYE CHEAH, 2023. Blockchain-Based Anti-Counterfeit Product Identification System In: 2023 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET). 200-205
• ONG, TEONG JOO and TAN, CHYE CHEAH, 2022. A Genetic Algorithm for Quantum Circuit Generation in OpenQASM In: Intelligent Systems and Applications. 97-114
• LE, CHAN JIA, YU, NGOI XIN, YI, WONG XIN, CHONG, MIEN MAY and CHEAH, TAN CHYE, 2022. Personalized Diabetes Care System in the Cloud with Predictive Technology for the Medical Sector: A Study In: 2022 3rd International Conference on Smart Electronics and Communication (ICOSEC). 879-885
• CHING, FELICIA TAY SUE and CHEAH, TAN CHYE, 2022. SENTIMENT ANALYSIS OF 10-K REPORTS USING TERM FREQUENCY COMPARATIVE APPROACH: A PRELIMINARY STUDY. International Journal of Early Childhood Special Education. 14(3),
• OOI, JING ZHI and TAN, CHYE CHEAH, 2021. Smart Modular Parcel Locker System using Internet of Things (IoT) In: 2021 IEEE 11th International Conference on System Engineering and Technology (ICSET). 66-71
• SOONG, GIM HOY and TAN, CHYE CHEAH, 2021. Sentiment Analysis on 10-K Financial Reports using Machine Learning Approaches In: 2021 IEEE 11th International Conference on System Engineering and Technology (ICSET). 124-129
• CHEANG, YEE MUN and TAN, CHYE CHEAH, 2021. Predicting Movie Box-Office Success and The Main Determinants of Movie Box Office Sales in Malaysia Using Machine Learning Approach In: 2021 10th International Conference on Software and Computer Applications. 57–62
• KHONG CHUN WENG and TAN, CHYE CHEAH, 2021. Development of driving risk assessment system for usage-based vehicle insurance on telematics data In: 3rd International Online Conference on Sustainable Innovation in Engineering and Technology (SIET 2021). (In Press.)
• CHOONG, YOUNG JUNG, KEONG, L and TAN, CHYE CHEAH, 2020. License plate number detection and recognition using simplified linear-model Journal of critical reviews. 7(3), 55-60
• YUAN, YS and TAN, CHYE CHEAH, 2020. A study of internet of things enabled healthcare acceptance in Malaysia Journal of critical reviews. 7(3), 25-32
• CHENG, KH and TAN, CHYE CHEAH, 2020. A study of Malaysia’s smart cities initiative progress in comparison of neighbouring countries (Singapore & Indonesia) Journal of critical reviews. 7, 47-54
• CHONG TONG LE, TAN, CHYE CHEAH and NIK NURUL AIN BINTI NIK SUKI, 2020. Photos manager system using deep learning for image categorizing In: 4th Global Conference on Computing and Media Technology (GCMT 2020). (In Press.)
• TAN, CHYE CHEAH and SHANMUGAM, S ANANDAN, 2015. Multi-features for mutual information based medical image registration Journal of Medical Imaging and Health Informatics. 5(5), 1076-1083
• TAN, CHYE CHEAH, SHANMUGAM, S ANANDAN and ANG, LI-MINN, 2012. Adaptation of Mutual Information Measure by Using Image Gradient Information Journal of Medical Imaging and Health Informatics. 2(3), 313-319
• TAN, CHYE CHEAH, RATHINAM, ALWIN KUMAR, SHANMUGAM, S ANANDAN and WARAN, VICKNES, 2012. Modeling the interaction between navigation probe and deformable brain tissue based on finite element analysis: Preliminary study In: 2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences. 519-524
• TAN, CHYE CHEAH, SHANMUGAM, S ANANDAN and MANN, KENNETH ANG LI, 2012. Medical image registration by maximizing mutual information based on combination of intensity and gradient information In: 2012 International Conference on Biomedical Engineering (ICoBE). 368-372
• TAN, CHYE CHEAH, SHANMUGAM, S ANANDAN and ZADRY, HILMA RAIMONA, 2010. Medical image registration: Comparison and evaluation of nonlinear transformation algorithms In: 2010 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES). 107-110