The Kwame Nkrumah University of Science and Technology’s (KNUST) Faculty of Physical and Computational Sciences has held its maiden PosterFest conference, with a strong focus on the role of machine learning in scientific research.
Dr. Emmanuel Ahene (Ph.D), a lecturer with the Department of Computer Science, emphasized the importance of computational methods in addressing complex scientific challenges during his keynote speech.
“Computational methods are key to solving complex scientific problems. We need to focus on how to generate and use data efficiently. Raw data is meaningless without proper analysis; therefore, we must concentrate on generating more datasets and using them effectively to solve complex scientific problems,” Dr. Ahene said.
He again stressed the growing significance of Artificial Intelligence (AI) and Machine Learning in the research world.
He urged attendees to embrace these technologies, underscoring their potential to revolutionize various scientific fields.
The PosterFest conference, which drew participation from over 80 students representing more than 15 departments within the university, provided a platform for postgraduate students to share ideas and network with the broader academic community. The event featured poster presentations showcasing research projects that applied computational methods to various disciplines.
“It is crucial to understand that Artificial Intelligence has come to stay; it is driving the force of technological advancement today. Therefore, it is important for us to learn about these technologies in solving complex problems,” he stated.
Dr. Ahene also proposed integrating AI and machine learning with traditional computational methods to improve research outcomes.
“It is essential for every researcher in any field to understand how to use Machine Learning techniques to solve problems relevant to their disciplines,” he noted, advocating for the introduction of machine learning courses across programs offered by the college.
The Dean of the Faculty of Physical and Computational Sciences, Professor Osei Akoto, also expressed his enthusiasm for the conference's potential to foster collaboration and knowledge sharing.
Prof. Mercy Badu, Chairperson of the planning committee, added that the conference reflects the increasing importance of interdisciplinary research, with computational techniques bridging gaps across scientific fields.
“With the use of algorithms, simulations, and large-scale data analysis, researchers can explore phenomena that were once beyond their reach,” she concluded. ;
“With the use of algorithms, simulations, and large-scale data analysis, researchers can explore phenomena that were once beyond their reach,” she concluded.
With a theme centered on "Computational Methods in Scientific Research," the PosterFest conference promises to become a cornerstone event that drives innovation and encourages collaboration within KNUST and beyond.
