Surendra Reddy vinta

About

Dr. Surendra Reddy Vinta is currently an Associate Professor in the School of Computer Science and Engineering at VIT-AP University, Amaravati, Andhra Pradesh, India. Currently, six students are working on their Ph.D. under his guidance. He is a seasoned professional with more than 18 years of experience, and he has published four books (Programming in C, Programming in C++, Machine Learning, and Deep Learning). He has undergone industrial training programs during which he was involved in live projects with companies in the areas of SAP, Railway Traffic Management Systems, Visual Vehicles Counter and Classification (used in the Metro rail network design), and Navigation System for Hybrid Vehicles (ground, water, and air vehicles). He is a prolific writer, having published 48 patents and authored many research papers in Web of Science- indexed journals. Additionally, he has presented research papers at many conferences in the areas of Image Processing, Machine Learning, Deep Learning, NLP, Computer Vision, Feature extraction, and Programming, such as Digital Image Processing, Feature Extraction, Machine Learning, Deep Learning, NLP, Computer Vision, C, Python, Data Structure, C++, C#, and Java. Also, he holds Professional Memberships in IEEE, ISTE, and IET.

Employment

• VIT-AP Campus Associate Professor
  2022 - Present

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (60)

• A Novel Deep Learning Approach for Multispectral Land Use/Land Cover Classification Using Optimized Feature Selection and Multi-scale Segmentation
  International Journal of Environmental Research 2026 DOI: 10.1007/s41742-026-01151-z
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• Adding Institutional Examples to the ASA Physical Status Classification System Improves Inter-Rater Reliability
  Paediatric Anaesthesia 2026 DOI: 10.1002/pan.70174
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• Alzheimer's disease staging using enhanced inception-ResNet-V2 and improved XceptionNet models for 3D MRI classification and segmentation
  Journal of Neuroscience Methods 2026 DOI: 10.1016/j.jneumeth.2026.110767
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• Coconut pests and tables
  Zenodo 2026 DOI: 10.5281/zenodo.20840778
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• Hybrid ensemble optimisation and Explainable AI for robust IIoT decision-making
  Explainable Artificial Intelligence Based Industrial Internet of Things Technologies and Applications 2025 DOI: 10.1201/9781003537380-12
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• TrOCR-Enhanced Language Chains: Bridging Image-Based Text and Single Document Question Answering
  Lecture Notes in Electrical Engineering 2025 DOI: 10.1007/978-981-97-4359-9_49
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• QBCMVT: An effective quantum based coati-mobilevit model for intrusion detection in IIoT
  Computers and Electrical Engineering 2025 DOI: 10.1016/j.compeleceng.2025.110503
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• Optimized BERT: an effective attention layer based deep learning technique utilizing for multiword term extraction
  International Journal of Information Technology Singapore 2025 DOI: 10.1007/s41870-024-01855-5
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• Optical Remote Sensing and Machine Learning Algorithm Used to Access the Leaf Area Index and Canopy Water Content
  Lecture Notes in Networks and Systems 2025 DOI: 10.1007/978-981-97-9839-1_23
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• Neural Style Transfer Using Convolution Architectures
  Lecture Notes in Electrical Engineering 2025 DOI: 10.1007/978-981-97-4359-9_47
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