Mr. Mohammad Mohiuddin | Agriculture | Best Researcher Award

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Mr. Mohammad Mohiuddin | Agriculture | Best Researcher Award 

Mr. Mohammad Mohiuddin, Chiitagong University of Engineering & Technology (CUET), Bangladesh

Mohammad Mohiuddin is an emerging academic and engineering professional with a strong background in Electrical and Electronic Engineering, currently serving as an Adjunct Lecturer at the Chittagong Institute of Engineering and Technology (CIET). He holds an M.Sc. in Electronics and Telecommunication Engineering from Chittagong University of Engineering & Technology (CUET), where he graduated with a perfect CGPA of 4.00 and received a Postgraduate Scholarship. He also earned his B.Sc. in Electrical and Electronic Engineering from East Delta University, graduating Summa Cum Laude with several academic distinctions, including the Chairman’s Outstanding Student Award. Mohammad has teaching experience in both theoretical and practical courses, particularly in areas such as Digital Electronics, Machine Learning, Circuit Design, and Power Electronics. Alongside his academic career, he works as a Communication Engineer at Total Marine & Safety Solution Ltd., where he specializes in satellite and radio communication systems, onboard networking, and technical training. His research interests span a wide range of modern technological areas, including the Internet of Things (IoT), machine learning, signal processing, smart grids, and biomedical applications. His postgraduate thesis focused on intelligent fault diagnosis using deep learning techniques. Mohammad is passionate about advancing science and technology through education, research, and hands-on technical expertise.

Professional Profile:

ORCID

🏆 Summary of Suitability for Best Researcher Award

Mohammad Mohiuddin is an emerging researcher and academician with a strong foundation in Electrical and Electronic Engineering (EEE) and a growing research portfolio in Artificial Intelligence, Machine Learning, and Biomedical Applications. While he is in the early stages of his research career, his dedication, academic excellence, and potential make him a promising candidate for future recognition. Below is an assessment of his suitability for the Research for Best Researcher Award

🎓 Education

  • M.Sc. in Electronics & Telecommunication Engineering (ETE)
    📍 Chittagong University of Engineering & Technology (CUET)
    🗓️ Passed: 26 November 2023
    📈 CGPA: 4.00/4.00
    🏅 Achievement: PG Scholarship

  • B.Sc. in Electrical & Electronics Engineering (EEE)
    📍 East Delta University
    🗓️ Passed: 2020
    📈 CGPA: 3.91/4.00
    🏆 Achievements:

    • Summa Cum Laude

    • Chairman’s Outstanding Student Award

    • Vice Chancellor’s List

    • Dean’s List

  • Diploma in Engineering (Electrical Technology)
    📍 Chittagong Technical College
    🗓️ Passed: 2016
    📈 CGPA: 3.93/4.00
    🎖️ Achievements:

    • Principal’s Outstanding Student Award

    • World Bank Scholarship

  • Secondary School Certificate (SSC)
    📍 Uttar Rangunia High School
    🗓️ Passed: 2012
    📈 GPA: 4.88/5.00

💼 Work Experience

  1. Adjunct Lecturer – CIET (Chittagong Institute of Engineering and Technology)
    🗓️ March 1, 2023 – Present
    📚 Department: Electrical and Electronic Engineering (EEE)
    👨‍🏫 Responsibilities:

    • Conducted theory and lab classes

    • Estimation and requisition of lab materials

    • Administrative and academic coordination

  2. Communication Engineer – Total Marine & Safety Solution Ltd.
    🗓️ October 26, 2022 – Present
    🚢 Responsibilities:

    • Conducted training on marine telecommunication

    • Worked with satellite (VSAT, STARLINK) & onboard radio systems

    • Maintained CCTV and networking equipment

    • Prepared technical specs and documentation

  3. Instructor – Chittagong Technical College (CTC)
    🗓️ November 1, 2019 – May 1, 2020
    🛠️ Department: Electrical
    📚 Responsibilities:

    • Conducted electrical classes and workshops

    • Supervised lab activities and requisition processes

🏅 Awards & Honors

  • 🏆 PG Scholarship – CUET

  • 🏆 Summa Cum Laude – East Delta University

  • 🥇 Chairman’s Outstanding Student Award

  • 📜 Vice Chancellor’s and Dean’s List

  • 🎓 Principal’s Outstanding Student Award – CTC

  • 🌍 World Bank Scholarship

Publication Top Notes:

A Novel Deep Learning Technique for Brain Tumor Detection and Classification Using Parallel CNN with Support Vector Machine

Internet of Things (IoT)-Based Smart Agriculture Irrigation and Monitoring System Using Ubidots Server

Feature Optimization for Machine Learning Based Bearing Fault Classification

Hybrid model-based Brain Tumor Detection and Classification using Deep CNN-SVM

Intelligent Fault Diagnosis of Rolling Element Bearings Based on Modified AlexNet

Rolling Element Bearing Faults Detection and Classification Technique Using Vibration Signals

MRI-Image based Brain Tumor Detection and Classification using CNN-KNN

Air Quality Monitoring in Chittagong by a Low Cost IoT Based Air Quality Monitoring System

 

Assoc Prof Dr. Wujing Cao | Intelligent Agriculture Award | Best Researcher Award

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Assoc Prof Dr. Wujing Cao | Intelligent Agriculture Award | Best Researcher Award 

Assoc Prof Dr. Wujing Cao, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, China

Wujing Cao is an Associate Professor at the Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences (CAS), and serves as a Master’s thesis supervisor at the University of Chinese Academy of Sciences. Recognized as a young talent by the China Association for Science and Technology, recommended by the Chinese Society of Rehabilitation Medicine, his research focuses on lower limb exoskeletons and intelligent prosthetics. He has led or contributed to 10 national, provincial, and municipal research projects, publishing 20 SCI-indexed journal articles, including 2 ESI Highly Cited Papers as first or corresponding author. With 25 patents to his name, Wujing has earned several prestigious awards, including the Second Prize of the Science and Technology Award from the Chinese Society of Rehabilitation Medicine and the Chapecoense Outstanding Young Scholar Award. His contributions have also been instrumental in winning the First Prize for Technological Invention in Guangdong Province and Shenzhen City, as well as the Second Prize for Scientific and Technological Progress in Chongqing Municipality. He currently holds several prominent roles, including Standing Committee Member and Secretary-General of the Youth Working Committee of the Chinese Society of Rehabilitation Medicine, youth editorial board member of the “Robot” magazine, and special issue editor for three SCI-indexed journals.

Professional Profile:

ORCID

Suitability for the Best Researcher Award: Wujing Cao

In evaluating Wujing Cao’s suitability for the Best Researcher Award, his academic and research accomplishments make a strong case. As an Associate Professor at the Shenzhen Institute of Advanced Technology, CAS, and a Master’s supervisor at the University of Chinese Academy of Sciences, his research focuses on lower limb exoskeletons and intelligent prosthetics—both critical areas in rehabilitation technology and biomechatronics. Supported by the China Association for Science and Technology, he has demonstrated leadership in these fields.

Education:

  • Ph.D. (Details about the institution and year are not provided)
  • Master’s Thesis Supervisor, University of Chinese Academy of Sciences

Professional Experience:

  • Associate Professor, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences (CAS)
  • Master’s Thesis Supervisor, University of Chinese Academy of Sciences
  • Young Talent, Supported by the China Association for Science and Technology (recommended by the Chinese Society of Rehabilitation Medicine)

Publication top Notes:

Modeling and Rotation Control of Servo System With Flexible Structure Based on New Deformation Description

Rotation Angle Control Strategy for the Hip Joint of an Exoskeleton Robot Assisted by Paraplegic Patients Considering Time-Varying Inertia

The Human–Machine Interface Design Based on sEMG and Motor Imagery EEG for Lower Limb Exoskeleton Assistance System

An Autoencoder-Based Feature Extraction Method Applied to the Detection of Lateral Walking Gait Phase

Development and Evaluation of a Hip Exoskeleton for Lateral Resistance Walk Exercise

Inertial Sensing for Lateral Walking Gait Detection and Application in Lateral Resistance Exoskeleton