DEPARTMENT OF COMPUTER APPLICATIONS
EVENT TITLE : International Lecture Series on Empowering Academic Excellence: Research Innovation, and Strategic Partnerships at Multimedia University, Malaysia
DATE : 06/12/2024 (Friday)
TIME : 11.00 am to 12.00 pm
VENUE : Third floor lab, (S & H) SRMIST, Ramapuram
EVENT CONVENER : Dr. K. Sutha, Assistant Professor / CS
EVENT COORDINATORS : Ms. B. Chithra, Assistant Professor/CS, Ms. P. Sathya, Assistant Professor/CS
NO. OF PARTICIPANTS : 50
SUMMARY OF THE EVENT:
Dr J. Dhilipan HOD-CSA, Vice Principal-ADMIN began the session by giving the welcome address and he welcomed the chief guests of today’s function. He explained the importance of Research Paper Publication, Collaboration activities and Funding Proposals Submission. Dr. S. Uma Shankari, Programme coordinator giving the chief guest introduction.
Dr. J. Emerson Raja delivered an insightful session on research, covering a wide array of topics. He began by defining research as a systematic inquiry process aimed at discovering, interpreting, and applying knowledge to solve problems and advance society. He emphasized the motivation required to become a great researcher, encouraging participants to cultivate curiosity, resilience, and an analytical mindset while staying updated and fostering collaborations. He outlined the stages of research, which include identifying a problem, reviewing literature, formulating hypotheses, designing and executing experiments, analyzing data, and publishing findings.
He shared insights from his PhD thesis, which focused on tool condition monitoring using Hilbert-Huang Transform (HHT) and Convolutional Neural Networks (CNN) to enhance machining efficiency through advanced methodologies. He proposed a monitoring approach combining HHT for signal decomposition and CNN for real-time tool wear classification. He elaborated on analyzing RMS values in Intrinsic Mode Functions (IMFs) to distinguish between free run, fresh tool, slightly worn, and severely worn conditions. Optimizing training algorithms to improve CNN model performance for reliable tool wear classification and tailoring CNN architectures with diverse datasets to ensure accuracy were highlighted as essential steps. Furthermore, he discussed integrating signal processing and machine learning for real-time tool wear prediction and testing Artificial Neural Networks (ANN) with test datasets to validate their reliability.
He also provided valuable guidelines for writing journal papers, emphasizing the importance of selecting relevant topics, structuring content clearly, ensuring accuracy, and adhering to journal standards. He stressed the qualities young researchers should develop, such as intellectual curiosity, creativity, analytical skills, and critical thinking. Concluding with an inspiring note, he mentioned Tim Berners-Lee’s invention of the World Wide Web, an extraordinary contribution freely shared with the world despite its monumental impact.
Scope of the future work
MMU offers an exceptional platform for pursuing postdoctoral research through virtual fellowships, providing access to advanced resources, extensive collaborative networks, and opportunities to conduct impactful studies. The MMU Postdoctoral Research Fellow (Virtual) program enables researchers to engage in high-quality research remotely, collaborate with leading experts, and contribute to innovative projects. This program serves as a valuable opportunity for gaining recognition and advancing both academic and professional careers.
The discussion also covered the possibility of matching grants, which open avenues for co-funded research projects, fostering partnerships between academia and industry to achieve shared innovation goals. To further solidify these collaborations, MMU is moving forward with the establishment of Memorandums of Understanding (MoUs). These formal agreements aim to strengthen partnerships, establish frameworks for collaboration, and facilitate resource sharing, with a goal to finalize the MoUs within the next three months.
Mrs. S. Suriya, Assistant Professor, Department of Computer Applications, concluded the session with a heartfelt Vote of Thanks. She expressed gratitude to the speaker, Dr. J. Emerson Raja, for his enlightening and inspiring presentation, and extended her appreciation to all participants for their active engagement and contributions. Her words reflected the collective acknowledgment of the session’s value and significance.
Conclusion
In conclusion, the session provided a comprehensive exploration of research methodologies, the journey to becoming a successful researcher, and the practical application of advanced techniques in tool condition monitoring. Dr. J. Emerson Raja’s insights into combining HHT and CNN for real-time tool wear classification showcased the transformative potential of interdisciplinary approaches. The discussion on guidelines for journal writing and the essential qualities of young researchers offered valuable takeaways for aspiring academics. The possibility of continuing research through MMU’s virtual postdoctoral fellowships, matching grants for collaborative projects, and the establishment of MoUs highlighted promising opportunities for academic and professional growth.