Divya Nimma

About

I am a highly skilled computational scientist with a Ph.D. in Computational Sciences from The University of Southern Mississippi. My academic journey has equipped me with extensive experience in image processing, computer vision, and machine learning. I have a strong track record of developing innovative solutions and publishing influential research, including advanced techniques in Vision Transformers for object detection and video recognition.

I have held roles such as System Analyst at the University of Mississippi Medical Center in my professional career. I gathered and analyzed data to improve system performance and provided technical assistance. As a Teaching Assistant at The University of Southern Mississippi, I facilitated student learning through engaging lectures and hands-on labs, fostering a dynamic and collaborative classroom environment.

My technical expertise spans various programming languages and technologies, including Python, JavaScript, C++, SQL, and Salesforce. I am adept at leveraging cutting-edge techniques to advance visual data analysis and cybersecurity, with a strong proficiency in data analysis, algorithm development, and technical problem-solving.

I am passionate about contributing to pioneering research and impactful real-world applications, seeking opportunities to collaborate with forward-thinking professionals and mentor students in a dynamic academic environment.

Employment

• Arkansas Tech University Assistant Professor
  2025 - Present

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (5)

• Correction to: IntelPVT: intelligent patch-based pyramid vision transformers for object detection and classification (International Journal of Machine Learning and Cybernetics, (2024), 15, 5, (1767-1778), 10.1007/s13042-023-01996-2)
  International Journal of Machine Learning and Cybernetics 2024 DOI: 10.1007/s13042-023-02052-9
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• Food Security Based Marine Life Ecosystem for Polar Region Conditioning: Remote Sensing Analysis with Machine Learning Model
  2024
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• IntelPVT: intelligent patch-based pyramid vision transformers for object detection and classification
  International Journal of Machine Learning and Cybernetics 2024 DOI: 10.1007/s13042-023-01996-2
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• Optimized Flare Performance Analysis through Multi-modal Machine Learning and Temporal Standard Deviation Enhancements
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• Volcanic Pumice Rafts at Sea: Buoyancy and Infiltration with Micro-particles
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