Md Mizanur Rahman

Md Mizanur Rahman

Lecturer, Dept. Of CSE-DIU | MIEEE

Dhaka, Bangladesh
৭২৯ অনুসারী ৫০০+ সংযোগ

পরিচয়

I am Md Mizanur Rahman, currently working as a Lecturer in the Department of Computer Science and Engineering (CSE) at Daffodil International University. I completed my BSc in CSE from Daffodil International University and went on to pursue a Master’s degree from the Institute of Information Technology (IIT), University of Dhaka.

I am passionate about research and have had the opportunity to work on various projects in computer vision, machine learning, deep learning, and IoT. My short but productive research journey has led to several journal and conference publications in these fields. I enjoy learning and collaborating with others, constantly seeking opportunities to grow and contribute to innovative projects.

My next goal is to pursue a fully-funded PhD to further my research ambitions. I am always open to new collaborations and discussions in areas of mutual interest.

Feel free to connect with me at: [email protected]

কর্মকাণ্ড

সমস্ত ক্রিয়াকলাপ দেখতে এখনই যোগ দিন

অভিজ্ঞতা

  • Daffodil International University-DIU গ্রাফিক

    Lecturer

    Daffodil International University-DIU

    -বর্তমান 1 বছর মাস 11

    Daffodil Smart Cit, Ashulia- Dhaka

    Alhamdulillah

  • Bangladesh Robotics Foundation গ্রাফিক

    Intern

    Bangladesh Robotics Foundation

    - 8 মাস

    Software Technology par, Kawran Bazar.

    This is my first Internship. For Research purposes i love to do work with a lovely team.

  • DIU Computer & Programming Club গ্রাফিক

    ACM Trainer

    DIU Computer & Programming Club

    - 1 বছর মাস 3

    Ashulia, Dhaka

    It was an opportunity during my varsity life to teach other to make a beginner programmer which is arranged by DIU-CPC

শিক্ষা

  • University of Dhaka গ্রাফিক

    University of Dhaka

    Master's in information technology (MIT) First Class

    -

    Alhamdulillah in September 2022 i admitted on IIT ( Institute of Information technology), University of Dhaka. which is very prestigious University in Bangladesh. i completed my masters journey may 2024 by publishing my result

  • Daffodil International University-DIU গ্রাফিক

    Daffodil International University-DIU

    Computer Science and Engineering Mathematics and Computer Science CGPA 3.80

    -

  • Govt. Devendra University College

    Higher School Certificate (HSC) Science GPA 4.75

    -

    কার্যক্রম ও সমাজঃvoluntary on various program, active on grooming

  • Daulatpur govt P S High School

    SSC Science GPA 5.00

    -

    কার্যক্রম ও সমাজঃGoT Board Scholarship

লাইসেন্স এবং সার্টিফিকেশন

স্বেচ্ছাসেবকের অভিজ্ঞতা

  • Assistant Treasurer

    Computer and programming club -Daffodil international university

    - 1 বছর মাস 1

    শিক্ষা

  • Executive Assistant

    Blood Bank - Manikganj

    -বর্তমান 5 বছর মাস 7

    সমাজসেবা

    For helpless people,we try to find blood with necessary steps

  • Joint Secretary

    Manikganj Student Association -DIU

    - 3 বছর মাস 1

    শিল্প ও সংস্কৃতি

    This is a collaboration of DIU students who comes from Manikganj. They are my closest one and want to grow up.

পাবলিকেশন

  • Deep Neural Network-based approach to identify paddy leaf disease using ResNet50-v2

    IEEE

    South Asian countries especially Bangladesh, India, and Srilanka are very involved in paddy cultivation. In Bangladesh and India, one of the key producing crops is paddy. Worldwide more than 40 percent of the world's population derives most of its calories from rice and traditionally farmers are directly involved production of rice. But every year lot of farmers have to face a tremendous amount of loss due to paddy leaf disease. Major of the farmers do not know how to identify perfectly in the…

    South Asian countries especially Bangladesh, India, and Srilanka are very involved in paddy cultivation. In Bangladesh and India, one of the key producing crops is paddy. Worldwide more than 40 percent of the world's population derives most of its calories from rice and traditionally farmers are directly involved production of rice. But every year lot of farmers have to face a tremendous amount of loss due to paddy leaf disease. Major of the farmers do not know how to identify perfectly in the primary stage that’s why they are facing loss. There are more than 30 types of paddy leaf disease and from there in Bangladesh, approximately 10 types of disease are quite similar. If it is possible to ensure the leaf disease in the very primary stage within a very short time, then every farmer can reduce their loss. Nowadays many researchers are interested in identifying paddy leaf disease using modern science. In this paper, we worked on paddy leaf disease detection and it has worked on 4 types of disease and 1 healthy and without any disease leaf class of paddy. This paper through an automated detection approach using deep learning techniques achieved the highest accuracy instead of the previous applicable working model and traditional manual disease detection process. In this paper, we have analyzed it using 4 different types of models. ResNet50-V2, Inception-V3, MobileNet-V2, and DensNet-201 algorithm models have been applied here and the finding of the research is, that all the models achieved more than 95% accuracy from these ResNet50-V2 has achieved the best accuracy and it is 99.06%. We hope that these deep learning models and techniques will detect the disease with high accuracy in the very beginning time and it will help reduce damage and loss of paddy cultivation.

    Date of Conference: 20-21 October 2023
    Date Added to IEEE Xplore: 22 January 2024
    ISBN Information:
    DOI: 10.1109/EASCT59475.2023.10393586
    Publisher: IEEE
    Conference Location: Bengaluru, India

    অন্যান্য লেখক
    প্রকাশনা দেখুন
  • Automated Agricultural pests identification using Convolutional Neural Network- based Transfer Learning

    Taylor & Francis group

    Delighted to announce that our research paper, titled "Automated Agricultural Pests Identification using Convolutional Neural Network-based Transfer Learning," has been accepted for presentation at the 2nd International Conference on Big Data, IoT, and Machine Learning (BIM-2023). 🌾🤖

    Hosted by Daffodil International University, in association with Jahangir Nagar University, Bangladesh, and IEEE Bangladesh, this conference is set to be an exciting platform to share innovative solutions…

    Delighted to announce that our research paper, titled "Automated Agricultural Pests Identification using Convolutional Neural Network-based Transfer Learning," has been accepted for presentation at the 2nd International Conference on Big Data, IoT, and Machine Learning (BIM-2023). 🌾🤖

    Hosted by Daffodil International University, in association with Jahangir Nagar University, Bangladesh, and IEEE Bangladesh, this conference is set to be an exciting platform to share innovative solutions for the agriculture industry. Stay tuned for insights on leveraging cutting-edge technology for a greener future!

    অন্যান্য লেখক
    প্রকাশনা দেখুন
  • Comprehensive Analysis of CNN and YOLOv5 Object Detection to Classify the Phytomedicine Tree’s Leaf Disease

    IEEE - UP Section (India)

    Comprehensive Analysis of CNN and YOLOv5 Object Detection to Classify the Phytomedicine Tree’s Leaf Disease- has been accepted for presentation at the 6th International Conference on Contemporary Computing and Informatics, hosted by Amity University, India, in association with IEEE UP section (India).

  • Recognition of Bangladeshi Sign Language (BdSL) Words using Deep Convolutional Neural Networks (DCNNs)

    -

    I am thrilled to announce the publication of my first journal article in the Emerging Science Journal (ESJ) by Ital Publication. The article focuses on the groundbreaking research in the field of recognizing Bangladeshi Sign Language (BdSL) words using Deep Convolutional Neural Networks (DCNNs). With a remarkable Citations Score (cit score) of 4.9 and an additional 0.49 Source Journal Rating (SJR score), the paper has already gained recognition within the scientific community.

    This…

    I am thrilled to announce the publication of my first journal article in the Emerging Science Journal (ESJ) by Ital Publication. The article focuses on the groundbreaking research in the field of recognizing Bangladeshi Sign Language (BdSL) words using Deep Convolutional Neural Networks (DCNNs). With a remarkable Citations Score (cit score) of 4.9 and an additional 0.49 Source Journal Rating (SJR score), the paper has already gained recognition within the scientific community.

    This research holds significant promise in enhancing communication for the deaf and mute community, contributing to the development of assistive technologies that can play a crucial role in their lives. I am particularly delighted to have the opportunity to make a positive impact with this work and look forward to further contributions in the field of sign language recognition.

    অন্যান্য লেখক
    প্রকাশনা দেখুন

সম্মান ও পুরস্কার

  • Automated Agricultural pests identification using Convolutional Neural Network- based Transfer learning

    CIC Association with CSE-DIU & IIT-JU

    This is an research article which is accept on 2nd Int. conference on big data, IoT, Machine learning (BIM2023). This is a part of my research journey.

  • IEEE CS BDC summer symposium 2023

    IEEE CS BDC

    This is a recognition of an extended abstract submission and which is present by me. This paper was about estimation of emission pollution caused by transportation in Bangladesh. and this Research area are connected with computer vision techniques.

  • Take off contest winner

    DIU-CPC club

    It was a programming contest. I achieved a position, award and honorarium money

দ্বারা আরও কার্যকলাপ Md Mizanur

সম্পূর্ণ প্রোফাইল দেখুন Md Mizanur

  • আপনি কাকে সাধারণভাবে জানেন তা দেখুন
  • পরিচয় করিয়ে দিন
  • সরাসরি যোগাযোগ Md Mizanur করুন
সম্পূর্ণ প্রোফাইল দেখতে যোগদান করুন

অন্যরা নাম প্রকাশ Md Mizanur Rahman করেছেন Bangladesh

এই কোর্সগুলির সাথে নতুন দক্ষতা যুক্ত করুন