Anis Sarker

I am a machine learning engineer and applied AI researcher with hands-on experience building end-to-end systems across computer vision, deep learning, and geospatial intelligence. My work spans a range of real-world projects, including virtual try-on systems for fashion and cosmetics, AI-driven ERP assistants.

Priorly, I worked as a research assistant at the Center for Computational and Data Sciences lab, focusing on GeoAI projects land use/land cover, and building categorization.

You can find a copy of my CV here

Email: anissarker603@gmail.com

Research interests: Machine Learning, Deep Learning, Computer Vision, GIS, and Remote Sensing

education

publications

BD Open LULC Map: High-resolution land use land cover mapping & benchmarking for urban development in Dhaka, Bangladesh

M.S. Hossain, R.H. Rajib, M.A.K. Iftee, O. Paul, A.B.S. Nayem, A. Sarker, M.A. Amin, A.A. Ali and A.K.M.M. Rahman

IEEE International Conference on Image Processing, 2025

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Applying State-of-the-Art Deep-Learning Methods to Classify Urban Cities of the Developing World

A.K.M.M. Rahman, M. Zaber, Q. Cheng, A.B.S. Nayem, A. Sarker, O. Paul, R. Shibasaki

Sensors, 2021

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A Novel Disaster Image Dataset and Characteristics Analysis using Attention Model

F.F. Niloy; Arif; A.B.S. Nayem; A. Sarker, O. Paul; M.A. Amin, A.A. Ali, M.I. Zaber, and A.K.M.M. Rahman

25th International Conference on Pattern Recognition (ICPR), 2020

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Deep-learning Coupled with Novel Classification Method to Classify the Urban Environment of the Developing World

Q. Cheng, A.K.M.M. Rahman, A. Sarker, A.B.S. Nayem, O. Paul, A.A. Ali, MA. Amin, R. Shibasaki, M. Zaber

SIGML, 2020

Paper

LULC Segmentation of RGB Satellite Image Using FCN-8

A.B.S. Nayem, A. Sarker, O. Paul, A.A. Ali, M.A. Amin, and A.K.M.M. Rahman

SLAAI, 2020

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