Event Title: 10 Days International Workshop on Revolutionizing the Landscape of Research and Education on Future Intelligence
Date: 15.09.2025 – 21.09.2025
Time: 07.00 P.M to 08.00 P.M
Venue: Online -Google Meet
Event Conveners: Dr.N S BALA NIMOSHINI SUPRAJA, Assistant Professor- Commerce -CS, Dr.S DHIVYA, Assistant Professor- Commerce
Event Co-ordinators: Dr ANCHANA N, Assistant Professor-Commerce, Dr DEEBIKA M, Assistant Professor-Commerce
OBJECTIVE OF THE EVENT:
- To enhance research skills among faculty members and research scholars in
- To provide knowledge of essential tools and techniques for high-quality academic research
- To introduce participants to contemporary research trends in qualitative, quantitative, and mixed methods.
- To develop hands-on skills in data analysis for effective research outcomes.
- To improve academic writing abilities with emphasis on ethical practices and citation standards.
- To train participants in preparing research proposals and securing research funding.
- To build capacity for writing and publishing articles in reputed academic journals.
- To foster collaboration and encourage interdisciplinary networking among researchers.
- To strengthen research presentation skills for academic and professional platforms.
- To elevate the overall quality and impact of research in the field of commerce.
SYNOPSIS
Day 1: Leveraging Python for Future Intelligence
Resource Person: Ms. Kiruthika Ramanathan
The opening session introduced Python as a versatile tool for research and education. The speaker highlighted its role in data analysis, automation, and artificial intelligence applications. Practical demonstrations showcased problem-solving through coding, helping participants connect theory with real-life usage. The session emphasized Python’s growing importance in academic innovation and encouraged scholars to adopt programming skills to stay future-ready.
Day 2: Predictive Analytics and Data-Driven Decision Making
Resource Person: Dr. T. Mahesh Kumar
This session focused on the transformative role of predictive analytics in research and decision-making. Participants learned about tools and techniques used for forecasting outcomes in business and commerce. Real-world examples demonstrated the practical benefits of using predictive models. The speaker stressed the importance of data-driven strategies in education and commerce, equipping participants with skills to make informed and evidence-based decisions.
Day 3: Emerging Trends in Artificial Intelligence
Resource Person: Dr. V. Andal
The third day explored the latest developments in artificial intelligence and their influence on research and education. The resource person provided insights into machine learning, natural language processing, and automation technologies. Discussions highlighted both the challenges and opportunities in adopting AI in academic contexts. The session motivated participants to prepare students for AI-driven careers and encouraged innovative applications of AI in teaching and research.
Day 4: Future of Commerce Education in the Digital Era
Resource Person: Dr. S. Vimala Devi
This session focused on how digital transformation is reshaping the landscape of commerce education. The speaker highlighted emerging practices such as fintech integration, online learning tools, and global e-commerce trends. Participants gained an understanding of the need to update academic curricula to meet industry requirements. The session encouraged educators to adopt digital platforms and teaching methods, ensuring that commerce education remains relevant in the digital age.
Day 5: Mathematical Foundations of Future Intelligence
Resource Person: Dr. Mahadevan
The fifth day emphasized the importance of mathematical concepts in building future intelligence systems. Key areas such as probability, statistics, and optimization techniques were discussed. The resource person demonstrated how theoretical models support real-world applications in research and artificial intelligence. Participants were encouraged to strengthen their quantitative reasoning skills to solve advanced problems. This session provided a strong foundation for analytical thinking in academic research.
Day 6: Integrating SDGs into Academic Research
Resource Person: Dr. P. Chellasamy
The session introduced participants to the significance of Sustainable Development Goals (SDGs) in guiding impactful research. The speaker explained how research projects can be aligned with global priorities such as sustainability, equality, and innovation. Case studies were presented to illustrate the integration of SDGs into academic work. Participants were motivated to adopt responsible and socially relevant research practices. The session promoted awareness of sustainability as a core aspect of future research.
Day 7: Cross-Disciplinary Collaboration for Future Intelligence
Resource Person: Dr. S. Kalesshwari
Day seven highlighted the value of interdisciplinary and cross-disciplinary collaboration in building future-ready research. The speaker emphasized the merging of commerce, science, and technology to generate innovative outcomes. Success stories of collaborative projects were shared, demonstrating the benefits of combining diverse fields of expertise. The session encouraged networking and teamwork among participants. By the end, scholars were motivated to build connections beyond their own discipline.
Day 8: Innovative Tools for Research Presentation
Resource Person: Ms. Kiruthika Ramanathan
This session trained participants on effectively presenting research using innovative digital tools. The focus was on visualization techniques, infographics, and interactive platforms to enhance clarity and impact. The speaker emphasized the role of storytelling in academic communication. Participants were introduced to international standards of research presentations. The session prepared scholars to confidently present their work at global conferences and seminars.
Day 9: Building Ethical and Responsible AI Research
Resource Person: Dr. T. Mahesh Kumar
The ninth day addressed the crucial topic of ethics in artificial intelligence research. Participants explored challenges related to bias, privacy, and transparency in AI systems. The speaker discussed the importance of accountability and fairness in AI-based projects. Frameworks and strategies for ensuring responsible AI research were shared. The session encouraged participants to pursue innovation with a strong commitment to ethical standards.
Day 10: Roadmap to Future-Ready Research and Education
Resource Person: Dr. S. Kalesshwari
The concluding session brought together insights from all the resource persons over the ten days. It emphasized integrating technology, ethics, and innovation in future academic research. The panel encouraged participants to set long-term research goals and align with international academic practices. Discussions highlighted strategies for building global competencies and enhancing the quality of education. The workshop concluded on a motivating note, inspiring participants to strive for academic excellence and sustainable futures.
