Md. Toukir Ahmed

Work place: Department of IoT and Robotics Engineering, Bangabandhu Sheikh Mujibur Rahman Digital University, Bangladesh Kaliakair, Gazipur-1750, Dhaka, Bangladesh



Research Interests:


Md. Toukir Ahmed post graduated from Rajshahi University of Engineering & Technology (RUET) with an M.Sc. Engineering degree in Computer Science and Engineering (CSE) and graduated from same University with a B.Sc. Engineering degree in CSE. Now he is working as a full-time faculty member at IoT and Robotics Engineering department in Bangabandhu Sheikh Mujibur Rahman Digital University, Bangladesh. Previously he worked as a full-time faculty member at ICT and CSE department in Bangladesh Army University of Science and Technology, Saidpur. Also, he worked as a full-time faculty member at CSE department in Bangladesh University, Dhaka. He can be contacted at email:,

Author Articles
Artificially Intelligent Surveillance and Security Sentinel for Technologically Enhanced and Protected Communities

By Md. Mominur Rahman Meem Partho Sharothi Chowhan Farah Alam Mim Md. Toukir Ahmed

DOI:, Pub. Date: 8 Aug. 2024

To improve surveillance, the proposed patrolling security system employs autonomous mobile robots outfitted with low-cost night vision cameras. Regular patrols, which are essential for discouraging criminal behavior, are typically conducted by security or law enforcement officers with the use of pricey CCTV equipment. The goal of using autonomous robots is to save expenses while enhancing the quality of patrols in particular regions. Using a night vision camera, the late-night guarding robot detects human movement within its assigned zone while following a random path. Its obstacle-detecting sensors help to prevent crashes and guarantee secure navigation. The robot records incidences, takes pictures with its mounted camera, and carefully scans regions for probable incursions. It then sends the data to the user as quickly as it can. This project's primary goal is to draw attention to suspicious activity in hidden areas. 

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Smart Vehicle Accident Prevention and Road Safety System with Real Time Data Acquisition

By Md. Nashim Uzzaman Nishad Paul Baskey Md. Toukir Ahmed

DOI:, Pub. Date: 8 Jun. 2024

Smart Vehicle Accident Prevention System is an innovative solution aimed at enhancing road safety and reducing the occurrence of accidents. Leveraging the Internet of Things (IoT) technology, this system combines real-time data acquisition, analysis, and intelligent decision-making algorithms to provide an effective accident prevention mechanism. The Vehicle Accident Prevention System is a com-prehensive project that aims to enhance road safety by utilizing Arduino microcontrollers and various sensors, including an alcohol sensor, temperature sensor, IR sensor and ultrasonic sensor. This report provides a detailed overview of the system’s design, implementation, and functionality.

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Other Articles