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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 impactĀ šŸŒšŸ”§šŸ¤–.

Publication Profile

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Education & Experience:

  • China University of Mining and Technology (CUMT), 2022ā€“2025 (CGPA: 4.5/5)
    šŸŽ“Ā Bachelor of Science in Electrical and Electronic Engineering
  • East Delta University (EDU), Bangladesh, 2018ā€“2020 (CGPA: 3.26/4)
    šŸŽ“Ā Diploma in Electronics Technology
  • Chattogram Polytechnic Institute (CPI), Bangladesh, 2013ā€“2017 (CGPA: 3.12/4)
    šŸ’¼Ā Research Assistant
  • China University of Mining and Technology (CUMT), 2022ā€“Present
    šŸ’¼Ā Deputy Field Controller
  • OPSEED CO., (BD) LTD, 2020ā€“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 learningĀ šŸ¤–. 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 skillsĀ šŸ› ļø. 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 journalsĀ šŸ“š.

Research Focus

Samsil Arefin Mozumder’s research focus is at the intersection ofĀ electronics, machine learning (ML), IoT, andĀ roboticsĀ šŸ”§šŸ¤–. He investigates embedded ML systems, edge AI, and computer vision for real-time anomaly detection and intelligent automationĀ šŸ§ . His work includes developing smart systems for mining infrastructure, including derailment detection, vertical shaft detection, and IoT-based solutions for environmental monitoringĀ šŸŒ±. 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 applicationsĀ šŸŒšŸ“”.

Publication Highlights

  • Smart IoT-Biofloc water management system using Decision regression tree,Ā 2021Ā šŸ“˜šŸŒŠĀ –Ā Cited by 12
  • Research on Vertical Shaft Detection System Based on CMOS-Camera and Lidar,Ā IEEE Access, 2024Ā šŸ“˜šŸ”
  • Derailment Detection of Mining Shaft’s Rail Vehicle Using Machine Vision on Edge Device, 2024Ā šŸ“…šŸš‚
  • IRHA: An Intelligent RSSI based Home automation System, Ā 2022Ā šŸ“˜šŸ 
Samsil Arefin Mozumder | Machine Vision | Best Researcher Award

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