Bringing AI Perspectives to Statistics

The leader of the AIMP Research Group recently delivered an inspiring session at the Department of Statistics, offering a fresh perspective on integrating artificial intelligence into statistical methodologies. The discussion highlighted how AI-driven techniques, such as machine learning and predictive modeling, can complement traditional statistical approaches to tackle complex data challenges. From optimizing data analysis workflows to uncovering hidden patterns in large datasets, the session underscored the transformative potential of AI in advancing statistical research. This engagement not only bridged disciplines but also sparked interest among students and faculty to explore innovative applications of AI in their statistical endeavors.
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Prof. (Dr.) Kailash Chandra Bandhu

Prof. (Dr.) Kailash Chandra Bandhu

Professor and Head of Department Computer Science and Engineering Medicaps University, Indore, India

Elly Warni, S.T., M.T.

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Data Mining and Software Engineering

Imran Djafar

Doctoral Student

Basri

Doctoral Student

Herlina Anwar

Muhammad Abdillah Rahmat

Dr. Misita Anwar

Swinburne University of Technology

A. Ais Prayogi Alimuddin, S.T., M.Eng.

198305102014041001

Artificial Intelligence, Data Management, Mobile Programming

Ir. Anugrayani Bustamin, S.T., M.T.

199012012018074001

Natural Language Processing, Artificial Intelligence , Data Mining, Multimedia Analitics

Prof. Dr. Eng. Intan Sari Areni., ST., MT.

197502032000122002

Telecommunications and Multimedia

Haryanti Rivai, ST., MT., Ph.D

197902252002122001

Maritime Safety and Ship Electrical