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RATHIMALA KANNAN

ASSOCIATE PROFESSOR | Decision Sciences

rathimala@psgim.ac.in

Profile Summary

Dr. Rathimala Kannan, an Associate Professor in Decision Sciences at PSG Institute of Management, previously served for 20 years at Multimedia University of Malaysia. She holds a B.Sc. and M.C.A. from Bharathiar University, India, and a PhD from Multimedia University, Malaysia, focusing on web structure mining. Her research interests span Business Data Analytics, AI, Machine Learning, and Information Systems, evident through her extensive publications in renowned journals. Dr. Rathimala specializes in designing tailored training courses in business data analytics using machine learning, facilitating skill development from introductory to hands-on levels. Her expertise extends to corporate trainings and workshops, including collaborations with IEEE conferences and Telkom University, Indonesia. Certified by the Malaysian Human Resource Development Fund (HRDF), she engages in training, consulting, and collaborative projects, held senior memberships in IEEE and professional technologist status in the Malaysian Board of Technologist (MBOT).

Subjects Handled

Business-Analytics Analytics-for-Decision-Making Business-Intelligence-Development Business-Intelligence-Management Data-Visualization-and-Analytics Machine-Learning

Experience

  • Associate Professor

    Multimedia University, Malaysia (2003-12-12 - 2023-10-22)

Publications

  • PREDICTING STUDENT'S SOFT SKILLS BASED ON SOCIO-ECONOMICAL FACTORS: AN EDUCATIONAL DATA MINING APPROACH

    INTERNATIONAL JOURNAL ON INFORMATICS VISUALIZATION (2023)

  • OPTIMIZING NATURAL GAS CONSUMPTION IN FERTILIZER MANUFACTURING: A PREDICTIVE MODEL USING RANDOM FOREST AND LINEAR REGRESSION

    6TH INTERNATIONAL CONFERENCE ON MOBILE COMPUTING AND SUSTAINABLE INFORMATICS, ICMCSI 2025 - PROCEEDINGS (2025)

  • FINANCIAL DATA-DRIVEN CLASSIFICATION OF MANUFACTURING COMPANIES: A CASE STUDY OF THE MALAYSIAN INDUSTRY

    COMMUNICATIONS IN COMPUTER AND INFORMATION SCIENCE (2025)

  • PREDICTING STOCK PRICE MOVEMENTS WITH RECURRENT NEURAL NETWORKS: AN LSTM-BASED APPROACH

    COMMUNICATIONS IN COMPUTER AND INFORMATION SCIENCE (2025)

  • PREDICTING RESERVATION CANCELLATIONS WITH MACHINE LEARNING: A CASE STUDY OF A 3-STAR HOTEL

    LECTURE NOTES IN NETWORKS AND SYSTEMS (2025)

  • EXPLORING CUSTOMER PURCHASE INTENTIONS THROUGH AFFILIATE MARKETING USING DECISION TREE ALGORITHM

    LECTURE NOTES IN NETWORKS AND SYSTEMS (2025)

Book Chapters

  • EXPLORING CUSTOMER PURCHASE INTENTIONS THROUGH AFFILIATE MARKETING USING DECISION TREE ALGORITHM

    MODERN PRACTICES AND TRENDS IN EXPERT APPLICATIONS AND SECURITY (MP-TEAS 2024 - Lecture Notes in Networks and Systems, Scopus Q4, Vol. 1379). Springer (August 21, 2025)

Books

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Awards

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Guided PhDs

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