Samsil Arefin Mozumder | Machine Vision | Best Researcher Award
Mr. Samsil Arefin Mozumder, China University of Mining and Technology, China.
Publication Profile
Orcid
Googlescholar
Education & Experience:
- China University of Mining and Technology (CUMT), 2022β2025 (CGPA: 4.5/5)
Β Bachelor of Science in Electrical and Electronic Engineering
- East Delta University (EDU), Bangladesh, 2018β2020 (CGPA: 3.26/4)
Β Diploma in Electronics Technology
- Chattogram Polytechnic Institute (CPI), Bangladesh, 2013β2017 (CGPA: 3.12/4)
Β Research Assistant
- China University of Mining and Technology (CUMT), 2022βPresent
Β Deputy Field Controller
- OPSEED CO., (BD) LTD, 2020β2021
Suitability for the Award
Professional Development
Samsil Arefin Mozumder’s professional development is rooted in a strong commitment to expanding his expertise in mechanical engineering, electronics, and machine learningΒ . 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 skillsΒ
. 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 journalsΒ
.
Research Focus
Samsil Arefin Mozumder’s research focus is at the intersection ofΒ electronics, machine learning (ML), IoT, andΒ roboticsΒ . He investigates embedded ML systems, edge AI, and computer vision for real-time anomaly detection and intelligent automationΒ
. His work includes developing smart systems for mining infrastructure, including derailment detection, vertical shaft detection, and IoT-based solutions for environmental monitoringΒ
. 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 applicationsΒ
.
Publication Highlights
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Smart IoT-Biofloc water management system using Decision regression tree,Β 2021Β
Β –Β Cited by 12
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Research on Vertical Shaft Detection System Based on CMOS-Camera and Lidar,Β IEEE Access, 2024Β
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Derailment Detection of Mining Shaft’s Rail Vehicle Using Machine Vision on Edge Device, 2024Β
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IRHA: An Intelligent RSSI based Home automation System, Β 2022Β