| Assoc Prof. Aslina Baharum (IEEE Senior Member)School of Engineering and Technology, Sunway University, MalaysiaResearch Area: UX/UI, HCI/Interaction Design, Product & Service Design, Software Engineering & Mobile Development, Information Visualization & Analytics, Multimedia, ICT, IS and Entre/Technopreneurship. Introduction: Associate Professor Ts. Dr. Aslina Baharum (Dr. Ask) holds the esteemed position of Associate Professor and Programme Leader of Department of Computing and Information Systems (DCIS) Postgraduate at the School of Engineering and Technology, Sunway University. Previously, she has served as a Senior Lecture at the Faculty of Computer and Mathematical Sciences in Universiti Teknologi MARA (UiTM), and as a Senior Lecturer at the Faculty of Computing and Informatics in Universiti Malaysia Sabah (UMS), where she led the User Experience (UX) research group. Completing her academic journey, she also brings valuable industry experiences as a former IT Officer at the Forest Research Institute of Malaysia (FRIM). She had experienced more than 20 years in the IT field. Title: Designing the Future: UI/UX Synergy in Economic Informatization and Engineering Management for Lasting Impact Abstract: In the ever-evolving landscape of technological advancement, the fusion of UI/UX design principles with economic informatization and engineering management is emerging as a pivotal force. "Designing the Future: UI/UX Synergy in Economic Informatization and Engineering Management for Lasting Impact" delves into the transformative power of design as a catalyst for lasting change. The strategic role of UI/UX in economic informatization is explored, emphasizing how design thinking drives innovation within economic systems. The symbiotic relationship between design and project success unravels by showcasing successful collaborations with engineering management. Beyond the immediate, the concept of designing for longevity is dissected, showcasing instances where forward-thinking design endures over time. In recognizing the ethical considerations inherent in design, the presentation highlights the contribution of UI/UX in crafting sustainable and inclusive solutions. Furthermore, it investigates the burgeoning trend of AI generative technologies and their integration into design workflows, providing a glimpse into the future of design evolution. As agents of change, designers, engineers, and AI collaboratively shape the future. The audience is invited to explore the collaborative power of human expertise and AI generative technologies, setting the stage for a forward-looking journey into the intersection of design, technology, and economic progress. |
Prof. Ts Dr Angela Lee Siew HoongSunway university, MalaysiaResearch Area: Sentiment analysis and opinion mining, Predictive analytics, Technology adoption, Organisational knowledge management Introduction: Angela is a Professor and Associate Dean in the School of Engineering and Technology, Sunway University, Malaysia. Angela has been developing data science curriculum since 2009. Angela is the key person to introduce the Analytics and Data Science degree at Sunway University. She was recognized by the SAS Institute as the 2021’s ‘Distinguished Analytics Educator of the Year’. She also the recipient award for National Outstanding Educator in 2023. She regularly speaks at data science conferences. Angela has developed many innovative ways to use analytics and data science tools from the most elementary level to advanced analytics. She teaches Social Media Analytics, Visual Analytics, Advanced Analytics and Business Intelligence and has authored many published international journals in the area of churn analytics, sentiment analysis and predictive analytics. Title: POWER OF AI-METHODS AND ALGORITHMS FOR DECISION MAKING Abstract: Artificial Intelligence will assist retailers in making better revenue forecasts in the future by providing better customer service, and retargeting customers who have left. Customers can have a simpler, more streamlined, more secure, personalized, and quicker shopping experience than ever before thanks to AI. With these newly developed technologies, they can offer a variety of advantages, including automated processes, targeted potential buyers, increased revenue, and etc. Artificial Intelligence can improve the customer experience by providing desired personalization and can also assist in product recommendations. Customer focus searches can be generated using AI and machine learning. For online shoppers, search results can be restricted, contextualized, and eventually enhanced. Ecommerce businesses will now generate more leads thanks to AI technology intelligence. They can use AI-based ads, sales, and CRM solutions to benefit from predictive marketing. Finally, AI and machine learning will significantly improve e-commerce sales and customer loyalty. |
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