Samsil Arefin Mozumder | Machine Vision | Best Researcher Award

Mr. Samsil Arefin Mozumder, China University of Mining and Technology, China.

Samsil Arefin Mozumder is a dedicated Master’s student at China University of Mining and Technology (CUMT) in Xuzhou, China, specializing in mechanical engineering, embedded machine learning, and robotics. His research focuses on IoT, machine vision, and sensor integration for industrial applications such as derailment detection and mining infrastructure anomaly detection. With a strong background in electronics and embedded systems, Samsil has contributed to multiple publications and is actively involved in projects enhancing intelligent systems for automation. He is passionate about advancing technology for real-world impact .

Publication Profile

Orcid

Googlescholar

Education & Experience:

China University of Mining and Technology (CUMT), 2022–2025 (CGPA: 4.5/5)
Bachelor of Science in Electrical and Electronic Engineering
East Delta University (EDU), Bangladesh, 2018–2020 (CGPA: 3.26/4)
Diploma in Electronics Technology
Chattogram Polytechnic Institute (CPI), Bangladesh, 2013–2017 (CGPA: 3.12/4)
Research Assistant
China University of Mining and Technology (CUMT), 2022–Present
Deputy Field Controller
OPSEED CO., (BD) LTD, 2020–2021

Suitability for the Award

Mr. Samsil Arefin Mozumder is an excellent candidate for the Best Researcher Award, with a strong academic background and impressive research contributions in electronics, embedded machine learning, IoT, and robotics. Currently pursuing a Master’s in Mechanical Engineering at China University of Mining and Technology, he has published impactful work on intelligent systems, such as mining derailment detection and IoT-based water management. His innovative projects, including machine vision applications and autonomous robots, showcase his ability to tackle complex real-world challenges. Samsil’s interdisciplinary approach and commitment to advancing technology make him a standout researcher deserving of this prestigious recognition.

Professional Development

Samsil Arefin Mozumder’s professional development is rooted in a strong commitment to expanding his expertise in mechanical engineering, electronics, and machine learning . He has been involved in several cutting-edge research projects, such as derailment detection using machine vision on edge devices and smart IoT systems. His industry experience as a deputy field controller sharpened his problem-solving and project management skills . Through his research assistantship at CUMT, he has further honed his skills in robotics, IoT, and sensor integration, contributing to publications in top conferences and journals .

Research Focus

Samsil Arefin Mozumder’s research focus is at the intersection of electronics, machine learning (ML), IoT, and robotics . He investigates embedded ML systems, edge AI, and computer vision for real-time anomaly detection and intelligent automation . His work includes developing smart systems for mining infrastructure, including derailment detection, vertical shaft detection, and IoT-based solutions for environmental monitoring . With a passion for exploring innovative solutions in industrial automation and machine vision, Samsil aims to bridge the gap between cutting-edge technologies and practical, impactful applications .

Publication Highlights

Smart IoT-Biofloc water management system using Decision regression tree, 2021 – Cited by 12
Research on Vertical Shaft Detection System Based on CMOS-Camera and Lidar, IEEE Access, 2024
Derailment Detection of Mining Shaft’s Rail Vehicle Using Machine Vision on Edge Device, 2024
IRHA: An Intelligent RSSI based Home automation System, 2022