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9 October 2025, Kuala Lumpur<\/em> \u2013 The Mathematical Optimization Research Group (RGMO)<\/strong> from the Faculty of Science, Universiti Teknologi Malaysia (UTM), welcomed delegates from ExxonMobil\u2019s Modeling Optimization and Data Science (MODS)<\/strong> division in a strategic courtesy visit held at Menara Razak, UTM Kuala Lumpur<\/strong>. The engagement marked a significant step in forging stronger ties between academia and industry in the fields of mathematical optimization, modeling, and data science<\/strong>.<\/p>\n The ExxonMobil delegation was led by Mr. Ronnie Heng<\/strong>, Production Planning Analytics and Modeling Manager, accompanied by Mr. Matthew Casey<\/strong>, MODS Department Manager from the United States, and supported by Mr. Jayanth<\/strong> and Dr. Ariff Mohd Idris<\/strong> from ExxonMobil Malaysia. Their visit coincided with a broader ExxonMobil working trip to Malaysia from 8\u201310 October 2025.<\/p>\n Representing UTM were researchers from RGMO and Faculty of Chemical and Energy Engineering, including:<\/p>\n Assoc. Prof. Dr. Zaitul Marlizawati Zainuddin<\/strong><\/p>\n<\/li>\n Dr. Hang See Pheng<\/strong><\/p>\n<\/li>\n Dr. Nur Arina Abdul Aziz<\/strong><\/p>\n<\/li>\n Dr. Nur Syarafina Mohamed<\/strong><\/p>\n<\/li>\n Prof. Ir. Dr. Haslenda Hashim<\/strong> (Chemical Engineering)<\/p>\n<\/li>\n<\/ul>\n The session opened with an introduction by ExxonMobil representatives, highlighting the role of the MODS division<\/strong>, which operates globally across Malaysia, Singapore, the U.S., Europe, and India, with over 270 experts in modeling and analytics. The delegation emphasized the critical role of operations research and optimization<\/strong> in improving efficiency within the oil and gas industry.<\/p>\n RGMO presented UTM\u2019s research capabilities, academic programs, industrial collaborations, and publication achievements. The seminar continued with research presentations from RGMO on:<\/p>\n Mathematical modeling and optimization<\/p>\n<\/li>\n Simulation-based decision analytics<\/p>\n<\/li>\n Industry-relevant case studies<\/p>\n<\/li>\n<\/ul>\n These presentations led to an engaging exchange of ideas and exploration of joint research opportunities<\/strong>, particularly in tackling real-world industrial challenges using advanced mathematical techniques.<\/p>\n A key portion of the discussion centered around talent identification<\/strong>, where ExxonMobil expressed keen interest in exploring UTM\u2019s student and alumni pool for potential roles in analytics, programming, and modeling<\/strong>. The session also explored future collaborations in R&D, internships, and industrial training.<\/p>\n Despite minor logistical challenges due to transport availability, the visit proceeded smoothly, funded under the Faculty\u2019s Research Strengthening Fund<\/strong>.<\/p>\n The courtesy visit successfully achieved several outcomes:<\/p>\n Initiated pathways for long-term collaboration<\/strong> between UTM and ExxonMobil<\/p>\n<\/li>\n Provided RGMO members with insights into current industrial demands in data science<\/p>\n<\/li>\n Positioned UTM as a talent hub<\/strong> for future industry recruitment<\/p>\n<\/li>\n Strengthened UTM\u2019s role in bridging academic expertise and industry-driven solutions<\/p>\n<\/li>\n<\/ul>\n\n
Key Highlights and Collaborative Potential<\/h3>\n
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Talent Development and Future Initiatives<\/h3>\n
Strategic Outcomes<\/h3>\n
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