Samsil Arefin Mozumder | Machine Vision | Best Researcher Award

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 impactΒ πŸŒπŸ”§πŸ€–.

Publication Profile

Orcid
Googlescholar

Education & Experience:

  • China University of Mining and Technology (CUMT), 2022–2025 (CGPA: 4.5/5)
    πŸŽ“Β Bachelor of Science in Electrical and Electronic Engineering
  • East Delta University (EDU), Bangladesh, 2018–2020 (CGPA: 3.26/4)
    πŸŽ“Β Diploma in Electronics Technology
  • Chattogram Polytechnic Institute (CPI), Bangladesh, 2013–2017 (CGPA: 3.12/4)
    πŸ’ΌΒ Research Assistant
  • China University of Mining and Technology (CUMT), 2022–Present
    πŸ’ΌΒ 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 learningΒ πŸ€–. 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 πŸ› οΈ. 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 πŸ“š.

Research Focus

Samsil Arefin Mozumder’s research focus is at the intersection ofΒ electronics, machine learning (ML), IoT, andΒ roboticsΒ πŸ”§πŸ€–. 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 applicationsΒ πŸŒπŸ“‘.

Publication Highlights

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

Mr. Saket Kumar Singh | Computer Vision | Best Researcher Award

Mr. Saket Kumar Singh | Computer Vision | Best Researcher Award

Mr. Saket Kumar Singh, Birla Institute of Technology, Mesra, Ranchi, India

Saket Kumar Singh, born on October 21, 1993, is a Project Research Scientist currently working on an ICMR-funded project titled β€œExplainable AI for Hypoxic Ischemic Encephalopathy Detection using ultrasound images in Jharkhand Neonates: A Deep Learning Approach.” He is pursuing a Ph.D. in Computer Science and Engineering at BIT MESRA, Ranchi, focusing on implementing deep learning methods for the early diagnosis of chronic diseases. Singh has over seven years of experience as an Assistant Professor, teaching AI, Machine Learning, and Data Science at various esteemed institutions in India, including the National Institute of Advanced Manufacturing Technology, AKG Engineering College, IMS Engineering College, Kanpur Institute of Technology, and Subhash Institute of Software Technology. He holds an MTech in Computer Science from BIT MESRA, where he graduated with distinction, and a B.E. in Computer Science & Engineering from NRI Institute of Information Science & Tech., Bhopal. Saket is recognized for his technical, experimental, and interpersonal skills, making significant contributions to curriculum development, student mentoring, and organizing hackathons. He has a strong passion for technology and research, with numerous publications and project presentations to his name. Additionally, Saket has received several accolades in cultural and sports activities, showcasing his diverse talents and dedication to excellence.

🌐 Professional Profile:

 

ORCID

 

Academic Background πŸŽ“πŸ“–

  • Ph.D. (Pursuing) in Computer Science and Engineering, BIT MESRA, Ranchi (2021 – Present)
    • Thesis Title: Implementation of Deep Learning Methods for early diagnosis of various chronic diseases
  • MTech in Computer Science, BIT MESRA, Ranchi (2013-2015)
    • Percentage: 80.8% (First Class with Distinction)
  • B.E. in Computer Science & Engineering, NRI Institute of Information Science & Technology, Bhopal (2009-2013)
    • Percentage: 67.25% (First Class)
  • Schooling at D.A.V. Public School, Bariatu, Ranchi
    • Class XII (2009): 71% (First Class)
    • Class X (2007): 84% (First Class)

Employment History πŸ“…πŸ«

  • Assistant Professor, National Institute of Advanced Manufacturing Technology, Hatia, Ranchi (April 11, 2022 – April 10, 2023)
  • Assistant Professor, AKG Engineering College, Ghaziabad, Delhi NCR (July 9, 2018 – Dec 10, 2021)
  • Assistant Professor, IMS Engineering College, Ghaziabad, U.P. (July 19, 2017 – June 30, 2018)
  • Assistant Professor, Kanpur Institute of Technology, Kanpur, U.P. (January 18, 2016 – July 08, 2017)
  • Assistant Professor, Subhash Institute of Software Technology, Kanpur, U.P. (June 15, 2015 – January 17, 2016)

Roles & Responsibilities πŸ“‹

  • Collegewide Administrative Duties:
    • Syllabus Development for UG Course “Computer Engineering” and PG Course “Data Science”
    • Central ERP Coordinator at AKGEC
    • Initiated and Managed YouTube News Channel for AKGEC
    • Conducted Inter-College Hackathon and Coding Contests
  • Departmental & General Duties:
    • Delivering lectures and supervising labs
    • Departmental Student Attendance Management
    • Recruitment and mentoring students for competitions and projects
  • Academic Activities:
    • Delivered courses on AI, ML, and DL
    • Provided training under DST sponsored projects
    • Conducted hackathons and coding contests
    • Presented papers at national conferences

Courses Taught πŸ“˜πŸ‘¨β€πŸ«

  • BTech Classes: Operating Systems, Theory of Automata and Formal Languages, Machine Learning, Computer Networks, Artificial Intelligence, Database Management System

Publication Top Notes:

Convergence of various computer-aided systems for breast tumor diagnosis: a comparative insight

DNA sequence based data classification technique