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INTRODUCTION & AIM

RESULTS & DISCUSSION

CONCLUSION

FUTURE WORK

RESEARCH METHODLOGY

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ICSE2025 has provided this template to assist in the preparation of a conference research poster. All text should be justified to give a clean and professional appearance, and the font size should be 25-point Calibri to ensure legibility on digital display. Ensure that all section headings in the poster are written in all upper case, 35-point Calibri, bold while the body text remains Calibri, 25-point, so that it is visually clear and legible during online presentation. This visual uniformity not only improves readability but also aligns with professional poster competition standards. There is no specific format for what section header you should name; it is up to you to decide what information you wish to add based on your research and the overall flow of your poster. For instance, you may choose to include sections such as Background of the Problem, Problem Statement, Limitations, Implications, or Acknowledgements, depending on what you want the audience to take away. The introduction section should concisely present the background and context of the study, highlighting the research problem, its significance, and the motivation behind the work. This is the part where you set the stage for your audience, the judges and online attendees by showing why your topic matters in within your academic discipline.

Click here to insert your research methodology text. Type it in or copy and paste from your Word document or other source. In a poster, the methodology section should be clear, concise, and visually structured so that the audience can quickly understand how the research was conducted. Use short, precise sentences where possible, and support the text with relevant visuals or diagrams for better comprehension. This text should be in Calibri, 25-point font, ensuring that it is easily readable during a digital display. If there is a figure, label it according to the number sequence (e.g., Figure 1, Figure 2) and provide a suitable caption beneath it for clarity and context.

Click here to insert your Results and Discussion text. Type it in or copy and paste from your Word document or other source. If presenting a table, place the caption above the table and ensure it follows the correct numbering sequence (e.g., Table 1, Table 2). If presenting a figure, place the label below the figure and include a concise caption that clearly describes the content (e.g., Figure 1, Figure 2). All figures and tables should be high resolution to ensure clarity during the online presentation, with text large enough to be easily read on screen. Use visuals such as tables, graphs, and charts to summarise data effectively, avoiding excessive text.

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Click here to insert your Conclusions text. Type it in or copy and paste from your Word document or other source. The conclusion should provide a clear and concise summary of the main findings of your study, directly addressing the research objectives or questions stated in the introduction.

There is no strict format for naming section headers; you may choose titles that best suit your research content and the overall flow of your poster. Select headings that effectively guide the audience through your work and highlight key points. Examples of possible sections include Background of the Problem, Problem Statement, Limitations, Implications, or Acknowledgements, depending on the message you wish to convey

Chart 1. Label in 25pt Calibri

Table 1. Label in 25pt Calibri

Figure 1. Label in 25pt Calibri

Figure 2. Label in 20pt Calibri

The research methodology can include figures, tables, charts and others to visually represent the research design, sampling framework, data collection process, and analytical procedures. These visual aids not only enhance clarity but also allow readers to quickly grasp complex processes, relationships, and findings. For instance, a flowchart can be used to illustrate the sequential stages of the methodology, tables can summarize participant demographics or instruments used, and charts can depict data analysis steps or coding frameworks.