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Dr.KUMAR MOHIT |Biomedical|Best Researcher Award

Research Associate, MNNIT Allahabad,India

Dr. Kumar Mohit is a Research Associate at MNNIT Allahabad, India. His work focuses on advancing research in his area of expertise, contributing to academic publications, and supporting innovative projects. With a strong academic background and dedication to excellence, Dr. Mohit plays a vital role in fostering the institution’s research environment.

 

Professional Profiles:

Scopus

🎓 Education :

Ph.D. in Biomedical Image Processing (July 2019 – Present),Motilal Nehru National Institute of Technology (MNNIT), Allahabad, Prayagraj, India,Currently pursuing a doctoral degree with a CGPI of 8.67. Research focuses on developing Computer-Aided Diagnosis (CAD) systems using deep learning techniques for disease detection from ultrasound images. The thesis, titled “Deep Learning Based Detection of Various Diseases from Ultrasound Images,” explores advanced methodologies to improve diagnostic accuracy.,M.Tech. in Digital Systems (2013 – 2015),Madan Mohan Malaviya University of Technology, Gorakhpur, India,Completed a master’s degree with 70.8% marks. The thesis, “A Morphological Filtration Approach Towards Brain Tumor Segmentation,” emphasized the application of image processing techniques for medical imaging.,B.Tech. in Electronics and Communication Engineering (2006 – 2010),BBSCET, Allahabad (A.K.T.U Lucknow), India,Graduated with 61.06% marks. The final project, “Automatic Switch On-Off on Phone Ringing,” involved innovative applications of electronics in automation.

 

🏢 Experience:

Senior Research Fellow (January 2022 – Present)
Electronics and Communication Engineering Department, MNNIT Allahabad, Prayagraj, India
Currently developing semi-supervised deep learning techniques for identifying diagnostic biomarkers in ultrasound imaging.,Junior Research Fellow (July 2019 – December 2021),Electronics and Communication Engineering Department, MNNIT Allahabad, Prayagraj, India,Contributed to foundational research in biomedical image processing and deep learning.,Assistant Professor (September 2015 – July 2019),Kashi Institute of Technology, Varanasi, India,Taught courses in electronics and communication engineering while managing academic and administrative responsibilities.,Training and Sales Executive (June 2011 – February 2012),BSN Infotech Pvt. Ltd., Dehradun, India,Worked in software development and marketing, gaining experience in customer relations and technical solutions.

Skills:

Proficient in programming languages like Python and C, with experience in simulation tools such as MATLAB and PSpice. Skilled in using Origin for data analysis and visualization.

 

Research Focus :

Expertise lies in biomedical image processing, deep learning, and machine learning. Research areas include medical imaging, signal processing systems, and artificial intelligence applications in diagnostics.

 

🔬Awards:

Consistently qualified GATE exams in Electronics and Communication Engineering (2013, 2017, 2019) and Electrical Engineering (2018). Won the Workshop Tech-Fest at BBSCET Allahabad in 2008. Currently serves as Vice-Chair of the IEEE Student Branch Chapter at MNNIT IEEE-SBC since 2020. Actively contributes as a reviewer for the Biomedical Signal Processing and Control Journal (SCI, IF 5.1).

 Publications:

  • Contrastive Learned Self-Supervised Technique for Fatty Liver and Chronic Liver Identification
    • Authors: Mohit, K., Gupta, R., Kumar, B.
    • Year: 2025
    • Publication: Biomedical Signal Processing and Control (Volume 100, Article 106950)

 

  • Computer-aided Diagnosis of Various Diseases Using Ultrasonography Images
    • Authors: Mohit, K., Gupta, R., Kumar, B.
    • Year: 2024
    • Publication: Current Medical Imaging (Volume 20, Article e060323214359)

 

  • A Survey on the Machine Learning Techniques for Automated Diagnosis from Ultrasound Images
    • Authors: Mohit, K., Gupta, R., Kumar, B.
    • Year: 2024
    • Publication: Current Medical Imaging (Volume 20, Article e290523217408)

 

  • Contrastive Learning Embedded Siamese Neural Network for the Assessment of Fatty Liver
    • Authors: Mohit, K., Shukla, A., Gupta, R., Agarwal, K., Kumar, B.
    • Year: 2023
    • Publication: IEEE Region 10 Annual International Conference, Proceedings/TENCON, Pages 1261–1265

 

  • Soil Nutrient Analysis for the Cultivation of Plants using Machine Learning Algorithms
    • Authors: Vidhya, S., Rajalakshmi, R., Mahalingamuthuram, M., Mukesh, C., Mohit, K.
    • Year: 2023
    • Publication: 7th International Conference on Intelligent Computing and Control Systems, ICICCS 2023, Pages 485–489

 

  • Self-Supervised Contrastive Learning for Covid-19 Classification from Computed Tomography Images
    • Authors: Mohit, K., Gupta, R., Kumar, B.
    • Year: 2022
    • Publication: 9th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering, UPCON 2022

 

  • Interfacial Engineering of ZrO2 Metal-Insulator-Metal Capacitor using Al2O3/TiO2 Buffer Layer for Improved Leakage Properties
    • Authors: Shin, H., Choi, H., Lim, J., Lim, H., Seo, H.
    • Year: 2022
    • Publication: Journal of Asian Ceramic Societies (Volume 10, Issue 3, Pages 649–659)

 

  • Data Collection Website with Brain Tumor and Pneumonia Detection
    • Authors: Awasthi, A., Mohit, K., Gupta, R., Kumar, B.
    • Year: 2022
    • Publication: Lecture Notes in Electrical Engineering (Volume 777, Pages 1149–1156)

 

  • A Survey Study of Diseases Diagnosed Through Imaging Methodology Using Ultrasonography
    • Authors: Mohit, K., Johnson, J., Simran, K., Gupta, R., Kumar, B.
    • Year: 2021
    • Publication: Lecture Notes in Electrical Engineering (Volume 683, Pages 689–703)

 

  • Compact Magneto-Dielectric Resonator MIMO Antenna for Angle Diversity
    • Authors: Mohit, K., Gupta, V.R., Rout, S.K.
    • Year: 2017
    • Publication: Turkish Journal of Electrical Engineering and Computer Sciences (Volume 25, Issue 3, Pages 2066–2073)

 

 

Conclusion:

Dr. Kumar Mohit is a strong candidate for the Best Researcher Award, particularly for contributions in AI-driven biomedical imaging. However, focusing on broader research collaborations, increasing the research impact through high-visibility publications, and highlighting involvement in grant-funded projects can further bolster his profile. His consistent efforts in research and academia, along with his technical expertise, make him a deserving contender for recognition.

KUMAR MOHIT |Biomedical|Best Researcher Award

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