Dr. Sudheer Kumar Erramchetty

About

Dr. E. Sudheer Kumar, working as Assistant Professor at Vellore Institute of Technology, Chennai, Tamil Nadu. Completed Ph.D. from JNTUA University, Anantapur, and received B.Tech and M.Tech in Information Technology from JNTUA, Ananthapuramu, India. His research interests include Data Science, Software Engineering, Software Architecture, and other latest trends in technology. He can be reached at [email protected].

Employment

• Vellore Institute of Technology, Chennai Assistant Professor Senior Grade -1
  2023 - Present
• Kalasalingam Academy of Research and Education Associate Professor
  2022 - 2023
• Kalasalingam Academy of Research and Education Assistant Professor
  2021 - 2022
• Jawaharlal Nehru Technological University Anantapur College of Engineering Ananthapuramu Research Scholar
  2017 - 2021
• Sree Vidyanikethan Engineering College Assistant Professor
  2013 - 2017
• CDAC Project Intern
  2013 - 2013

Education

• Jawaharlal Nehru Technological University Anantapur Doctor of Philosophy
  2017 - 2021
• Sree Vidyanikethan Engineering College M.Tech
  2011 - 2013
• Siddharth Institute of Engineering and Technology B.Tech
  2006 - 2010

Projects & Funding

Projects & funding information is unavailable.

Publications (33)

• Unveiling Alzheimer’s Risk: Leveraging Deep Learning and Attention Mechanisms for Early Detection
  2026 DOI: 10.1007/978-3-031-93691-3_30
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• Interpretable AI for Parkinson’s Disease: Multimodal deep learning with explainable attention for Parkinson’s Disease diagnosis
  Biomedical Signal Processing and Control 2026 DOI: 10.1016/j.bspc.2026.110006
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• LeafVisionNet: A deep learning-based approach for the classification of black gram leaf disease using attention-driven and semi-local feature boosted SqueezeNet
  Smart Agricultural Technology 2025 DOI: 10.1016/j.atech.2025.101245
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• AI-Powered Virtual Mouse: Enhancing Real-Time Gesture Control with Latency-Aware Jitter Suppression
  2025 11th International Conference on Communication and Signal Processing (ICCSP) 2025 DOI: 10.1109/iccsp64183.2025.11089393
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• Sentiment-aware visual verses: limerick generation from images using transformer models for therapeutic and educational support
  Journal of Poetry Therapy 2025 DOI: 10.1080/08893675.2025.2493818
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• Data-driven harvests: Navigating modern agronomic technology for sustainable smart agriculture
  Digital Farming and Smart Agriculture for Sustainable Future 2025 DOI: 10.1201/9781003479154-1
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• Classification of Healthy and Unhealthy Leaf Disease Using Modified MobileNetV2
  2024 5th International Conference on Data Intelligence and Cognitive Informatics (ICDICI) 2024 DOI: 10.1109/icdici62993.2024.10810763
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• Vision Beyond the Haze: Advancements in Cataract Detection and Diagnosis
  2024 2nd International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS) 2024 DOI: 10.1109/icssas64001.2024.10760798
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• Optimized deep CNN for detection and classification of diabetic retinopathy and diabetic macular edema
  BMC Medical Imaging 2024 DOI: 10.1186/s12880-024-01406-1
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• Leveraging Location Data for Enhanced Contact Tracing in Educational Settings
  2024 2nd International Conference on Networking and Communications (ICNWC) 2024 DOI: 10.1109/icnwc60771.2024.10537381
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