4TH INDUSTRIAL REVOLUTION 1.0: How to Navigate in Machine Learning Research

IEEE AUST Student Branch is ecstatic to announce an imminent event, 𝟒𝐭𝐡 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐢𝐚𝐥 𝐑𝐞𝐯𝐨𝐥𝐮𝐭𝐢𝐨𝐧 𝟏.𝟎 titled “𝐇𝐨𝐰 𝐭𝐨 𝐍𝐚𝐯𝐢𝐠𝐚𝐭𝐞 𝐢𝐧 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 : 𝐏𝐫𝐨𝐬𝐩𝐞𝐜𝐭𝐢𝐯𝐞 𝐚𝐧𝐝 𝐃𝐢𝐫𝐞𝐜𝐭𝐢𝐨𝐧𝐬.”

This event is jointly organized by the IEEE AUST Student Branch; IEEE AUST Student Branch WIE Affinity Group; IEEE SPS & IEEE ComSoc Joint SB Chapter, AUST.

Machine learning, a pivotal branch of artificial intelligence, empowers computers to learn and improve from experience without explicit programming. It entails developing algorithms that enable systems to identify trends, anticipate outcomes, and change in response to information. As we stand at the forefront of the Fourth Industrial Revolution, machine learning stands as a transformative force, reshaping industries with data-driven insights, automation, and personalized experiences. It revolutionizes everything from smart cities to healthcare, radically changing the way we think about technology.

The field of machine learning is rapidly expanding, both researchers and practitioners alike are faced with the challenge of navigating through a vast and dynamic landscape. Therefore, lack of proper guidance and mentorship, Bangladeshi students find fraught with peril in navigating in this exponential growth of machine learning.

This webinar session aims to provide a comprehensive guide on how to effectively navigate in machine learning research, offering insights into the current perspectives and directions that shape the field, and might help upcoming enthusiastic young researchers to decide contributions in machine learning.

In conclusion, this event opens the door to a plethora of opportunities in the realm of machine learning. With insights into practical applications, industry trends, skill enhancement, research methodologies, challenges and future directions within the field, this webinar becomes an essential milestone for those earnestly dedicated to forging a prosperous career in the ever-evolving landscape of machine learning research.


𝐊𝐞𝐲𝐧𝐨𝐭𝐞 𝐒𝐩𝐞𝐚𝐤𝐞𝐫:
𝐓𝐚𝐤𝐢 𝐇𝐚𝐬𝐚𝐧 𝐑𝐚𝐟𝐢
Graduate Researcher, Data Intelligence Laboratory,
Department of Computer Science, Hanyang University,
Seoul, South Korea
B.Sc. (Engg.) in EEE, Ahsanullah University of Science and Technology (2021)

𝐃𝐚𝐭𝐞: 27 December,2023 (Wednesday)
𝐓𝐢𝐦𝐞: 9:00 PM (BST)
𝐙𝐨𝐨𝐦 𝐋𝐢𝐧𝐤: https://bdren.zoom.us/j/96897413161
𝐑𝐞𝐠𝐢𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧 𝐋𝐢𝐧𝐤:
𝐄𝐯𝐞𝐧𝐭 𝐋𝐢𝐧𝐤:
𝐎𝐫𝐠𝐚𝐧𝐢𝐬𝐞𝐫𝐬: IEEE AUST Student Branch; IEEE AUST Student Branch WIE Affinity Group; IEEE SPS & IEEE ComSoc Joint SB Chapter, AUST.
Note well:
The event is 𝐎𝐏𝐄𝐍 𝐅𝐎𝐑 𝐀𝐋𝐋

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