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Dr  Mohammad Hasheminejad | Plant disease | Best Researcher Award

Assistant Professor at  University of Jiroft, Iran

Dr. Mohammad Hasheminejad is an accomplished Assistant Professor and Electrical Engineer with a Ph.D. in Electronic Engineering-Telecommunication. Born on September 1, 1981, in Iran, he currently holds a faculty position at the University of Jiroft. Dr. Hasheminejad is recognized for his extensive expertise in computer vision and machine learning, particularly in the development of sophisticated systems such as object recognition and face recognition-powered surveillance camera management.

 

Publication Profile:🌟👨‍🎓

Education:

High school: Mathematics and Physics, Allame Helli, Kerman, Iran. Bachelor: Biomedical Engineering, Isfahan University, Isfahan, Iran. Masters: Electrical Engineering-Electronic, Malek-Ashtar University of Technology, Tehran, Iran. Ph.D.: Electronic Engineering-Telecommunication, University of Birjand

💼 Work Experience:

  • University of Jiroft (Assistant Professor)
    • Conducted multidisciplinary machine learning research with 11 scholarly articles and 7 conference presentations.
    • Developed and taught innovative undergraduate and graduate courses, fostering critical thinking.
    • Collaborated on securing research grants, leading to safety improvements in the electric power distribution industry.
    • Mentored students, guiding them to successful graduate programs and competitive job placements.
  • FajrShahed Company (Biomedical Engineer)
    • Installed and configured medical equipment, ensuring compliance with industry standards.
    • Trained healthcare professionals on equipment use and maintenance, optimizing functionality.
    • Provided technical support, resolving equipment-related issues promptly.
    • Collaborated with interdisciplinary teams to enhance medical equipment solutions.

🔧 Skills:

  • Research: Professional
  • Teaching: Professional
  • Python Programming: Professional
  • Electrical Engineering: Professional

 

Research Focus:

👨‍🔬 Dr. Mohammad Hasheminejad is a distinguished researcher with a focus on diverse domains within Electrical Engineering and Information Systems. His extensive contributions encompass adaptive ensemble classification for text-independent speaker verification, frame-level sparse representation classification, and sample-specific late classifier fusion for speaker verification. Dr. Hasheminejad’s expertise extends to fast automatic face recognition using GAW-KNN and optimized kernel nonparametric weighted feature extraction for hyperspectral image classification. He has made significant strides in interdisciplinary research, notably in areas such as tomato disease recognition and the emission and transport of dust particles in the Jazmurian region. His work reflects a commitment to advancing knowledge in climatology, image processing, and environmental monitoring. 🌐📊🔍

 

Publications Top Notes:
  1. Sheikh-Hosseini, M., Hasheminejad, M., Rahdari, F. (2023). “Linear precoder design for peak-to-average power ratio reduction of generalized frequency division multiplexing signal using gradient descent methods.” Transactions on Emerging Telecommunications Technologies, 34(2), e4698.
  2. Astani, M., Hasheminejad, M., Vaghefi, M. (2022). “A diverse ensemble classifier for tomato disease recognition.” Computers and Electronics in Agriculture, 198, 107054.
  3. Mesbahzadeh, T., Miglietta, M.M., Sardoo, F.S., Krakauer, N., Hasheminejad, M. (2022). “Regional Analysis of Dust Day Duration in Central Iran.” Applied Sciences (Switzerland), 12(12), 6248.
  4. Hasheminejad, M. (2022). “Optimized kernel Nonparametric Weighted Feature Extraction for Hyperspectral Image Classification.” Journal of Information Systems and Telecommunication, 10(38), pp. 111–119.
  5. Hasheminejad, M., Farsi, H. (2018). “Sample-specific late classifier fusion for speaker verification.” Multimedia Tools and Applications, 77(12), pp. 15273–15289.

 

 

Mohammad Hasheminejad | Plant disease | Best Researcher Award

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