Rejwan Ahmed

Work place: Department of Computer Science & Engineering, American International University, Bangladesh



Research Interests: Big Data


Rejwan Ahmed holds a Bachelor's degree in Computer Science & Software Engineering from the Department of Computer Science & Engineering at the American International University-Bangladesh. Following his graduation, he embarked on a career journey that has seen him excel in various domains of the technology industry.
Beginning his professional journey as a software engineer in a software development company named MicroMac Techno Valley Ltd., he contributed significantly to the development of numerous banking software projects, showcasing his proficiency in the entire software development lifecycle, from inception to deployment.
Transitioning into a role as a solution architect within the Information Technology division of Robi Axiata Limited, a leading telecommunications company in Bangladesh, Rejwan capitalized on his diverse skill set to excel in areas such as project management, secured solution architecture, continuous integration and continuous deployment (CI/CD), DevSecOps, CyberOps, AI & Machine Learning, Data Warehousing and Data Mining.
With a passion for cybersecurity, Rejwan transitioned into the role of Cyber Security Architect within the Cyber Security & Privacy department of Robi Axiata Limited, committed to staying at the forefront of technological advancements, he is currently focused on enhancing his knowledge and skills in the integration of AI into cybersecurity practices.

Author Articles
From Nature to UAV - A Study on Collision Avoidance in Bee Congregation

By Nahin Hossain Uday Md. Zahid Hasan Rejwan Ahmed Md. Mahmudur Rahman Abhijit Bhowmik Debajyoti Karmaker

DOI:, Pub. Date: 8 Jun. 2024

Insects engage in a variety of survival-related activities, including feeding, mating, and communication, which are frequently motivated by innate impulses and environmental signals. Social insects, such as ants and bees, exhibit complex collective behaviors. They carry out well-organized duties, including defense, nursing, and foraging, inside their colonies. For analyzing the behavior of any living entity, we selected honeybees (Apis Mellifera) and worked on a small portion of it. We have captured the video of honeybees flying close to a hive (human-made artificial hive) while the entrance was temporarily sealed which resulted in the” bee cloud”. An exploration of the flight trajectories executed and a 3D view of the” bee cloud” constructed. We analyzed the behaviors of honeybees, especially on their speed and distance. The results showed that the loitering honeybees performed turns that are fully coordinated, and free of sideslips so thus they made no collision between themselves which inspired us to propose a method for avoiding collision in unmanned aerial vehicle. This paper gives the collective behavioral information and analysis report of the small portion of data set (honeybees), that bee maintains a safe distance (35mm) to avoid collision.

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