Professional Experience

Salman Ibne Eunus is an AI research scientist and machine learning engineer from Dhaka, Bangladesh, currently pursuing a PhD in Artificial Intelligence at the International Islamic University Malaysia (IIUM).  

Background and Expertise

His work focuses heavily on applying AI, particularly machine learning and deep learning, to solve real-world problems in various fields, including healthcare (bioinformatics and genome data) and safety (robotics and autonomous systems). He is a two-time Kaggle Master (Notebooks and Datasets) and a mentor, sharing his knowledge with an international audience through his platform "The AI Educator". 

Education and Research

• PhD in Engineering (AI Specialisation): Currently pursuing at International Islamic University Malaysia (IIUM) (expected completion 2028).

• MSc in Computer Science and Engineering: Graduated from BRAC University, with a focus on AI, computer vision, and bioinformatics.

• BSc in Computer Science: Graduated from BRAC University in 2021. 

Notable Projects and Achievements

• ECARRNet: He led the "Team Interceptor" research group that developed the ECARRNet deep learning architecture for efficient railway fault detection, aiming to improve railway safety in South Asia.

• Robotics: As an undergraduate, he was a sub-team lead for the AI and Autonomous team of the BRACU Mongol Tori Mars Rover project, which participated in international competitions. His team also reached the semi-finals of a national robotics reality show in Bangladesh.

• Bioinformatics Research: He has worked with a group of international scientists at Genofax Life Sciences, developing AI pipelines for analysing genomic data related to the human gut microbiome.

• Publications: He has published several first-author research papers in peer-reviewed journals and conferences. 

His career path reflects a deep commitment to leveraging artificial intelligence for positive change and education.