CORTEXA
← Browse

Md Habibur Rahman

5 papers indexed

crossrefMachine Learning: Science and Technology2026-07-09

Lessons learned from the 2025 agentic AI for science hackathon

Jaehyung Lee, Harichandana Neralla, Charles Rhys Campbell, Kent Zhang, Akshaya Ajith, Justin Ely, et al.

Abstract The rapid emergence of agentic AI presents new opportunities and challenges for accelerating scientific discovery through tool-augmented reasoning, autonomous workflows, and reproducible results. To explore these capabilities in a hands-on, community-driven setting, we h…

View free PDFSource page
crossrefApplied Sciences2025-01-22Cited by 17

AI- and Deep Learning-Powered Driver Drowsiness Detection Method Using Facial Analysis

Tahesin Samira Delwar, Mangal Singh, Sayak Mukhopadhyay, Akshay Kumar, Deepak Parashar, Yangwon Lee, et al.

The significant number of road traffic accidents caused by fatigued drivers presents substantial risks to the public’s overall safety. In recent years, there has been a notable convergence of intelligent cameras and artificial intelligence (AI), leading to significant advancement…

View free PDFSource page
crossrefRemote Sensing2024-03-01Cited by 122

A Comprehensive Survey of Unmanned Aerial Vehicles Detection and Classification Using Machine Learning Approach: Challenges, Solutions, and Future Directions

Md Habibur Rahman, Mohammad Abrar Shakil Sejan, Md Abdul Aziz, Rana Tabassum, Jung-In Baik, Hyoung-Kyu Song

Autonomous unmanned aerial vehicles (UAVs) have several advantages in various fields, including disaster relief, aerial photography and videography, mapping and surveying, farming, as well as defense and public usage. However, there is a growing probability that UAVs could be mis…

View free PDFSource page
crossrefSensors2022-07-20Cited by 97

Machine Learning for Intelligent-Reflecting-Surface-Based Wireless Communication towards 6G: A Review

Mohammad Abrar Shakil Sejan, Md Habibur Rahman, Beom-Sik Shin, Ji-Hye Oh, Young-Hwan You, Hyoung-Kyu Song

An intelligent reflecting surface (IRS) is a programmable device that can be used to control electromagnetic waves propagation by changing the electric and magnetic properties of its surface. Therefore, IRS is considered a smart technology for the sixth generation (6G) of communi…

View free PDFSource page