Programme structure
Dr Sahebgoud H. Karaddi
Associate Professor & Assistant Chairperson
Department of Electronics & Communication Engineering
Contact
LINKEDIN PROFILE https://www.linkedin.com/...
8
Years of Experience
- Ph.D (2024), VIT AP University, Amaravati, Andhra Pradesh.
- M.Tech (2015), Communication Systems Engineering, PDA College of Engineering, Kalburgi.
- B.Tech (2012), Electronics and Communication Engineering, R L Jalappa Institute of Engineering, Bangalore.
- D Vijaya Saradhi, M Krishna Chaitanya, Sahebgoud Hanamantray Karaddi, Rakesh Mutukuru, Mandalaneni Jaya, and Jammisetty Yedukondalu. "Superlet2d-eanet: A Deep Learning Framework for Schizophrenia Detection from EEG Signals." Biomedical Signal Processing and Control, volume 118, page 109670. Elsevier, 2026. (Impact Factor: 4.9)
- Jammisetty Yedukondalu, M Ramesh, N Janardhan, Sahebgoud Hanamantray Karaddi, T Chandana Gowri, Yadavalli Murali Krishna, Lakhan Dev Sharma, and Srinivasa Rao Karumuri. "Deep Fusion of VGG19 and ConvMixer with Superlet Transform for Cognitive Load Detection." IEEE Transactions on Consumer Electronics. IEEE, 2025. (Impact Factor: 10.9)
- Vipin Prakash Yadav, MA Aswathy, Sahebgoud Hanamantray Karaddi, S Pavankumar Reddy, G Pradeep Reddy, and Aman Kumar. "Sleep Stage Classification Using Variational Mode Decomposition and Wrapper Based Feature Selection from the Single Channel EEG." IEEE Access. IEEE, 2025. (Impact Factor: 3.6)
- A Vivek Reddy, Jyothula Sunil Kumar, S Pavan Kumar Reddy, and Sahebgoud H Karaddi. "SDPEMDL: Enhanced Sugarcane Disease Detection and Prediction via an Ensemble Multimodal Deep Learning Approach Using Advanced Deep Learning Models." Cuestiones de Fisioterapia, volume 54, pages 2199–2218, 2025. (Impact Factor: Scopus)
- Sahebgoud Hanamantray Karaddi, Vipin Prakash Yadav, G Pradeep Reddy, Chanumolu Kiran Kumar, Manumula Srinubabu, Nadikatla Chandrasekhar, and Abhilasha Joshi. "Coronary Artery Disease Detection Using Deep Integration of Vision Transformer and Extended LSTM from Cardiac Multi-Modal Images." Alexandria Engineering Journal, volume 133, pages 615–626. Elsevier, 2025. (Impact Factor: 6.8)
- Jammisetty Yedukondalu, Sahebgoud Hanamantray Karaddi, CH Hima Bindu, Diksha Sharma, Achintya Kumar Sarkar, and Lakhan Dev Sharma. "Automated Metal Surface Flaws Detection Using Convolutional Neural Network and Deep Visualization Analysis." Arabian Journal for Science and Engineering, pages 1–12. Springer, 2024. (Impact Factor: 2.9)
- Sahebgoud Hanamantray Karaddi, Lakhan Dev Sharma, and Abhijit Bhattacharya. "SoftFlattenNet: A Deep Convolutional Neural Network Design for Monkeypox Classification from Digital Skin Lesions Images." IEEE Sensors Journal. IEEE, 2024. (Impact Factor: 4.325)
- Sahebgoud Hanamantray Karaddi and Lakhan Dev Sharma. "Classification of Lung Disorders in Chest Multi-Modal Images Using Hyper-Parameter Tuning and Modified ResNet50." Multimedia Tools and Applications, pages 1–25. Springer, 2024. (Impact Factor: 3)
- Sahebgoud Hanamantray Karaddi and Lakhan Dev Sharma. "Automated Multi-Class Classification of Lung Diseases from CXR-Images Using Pre-Trained Convolutional Neural Networks." Expert Systems with Applications, volume 211, page 118650. Elsevier, 2023. (Impact Factor: 7.5)
- Ajay Kumar Miryala, Sahebgoud Karaddi, G Haritha, and G Harish. "Comprehensive Analysis of Cyclo-Stationary Feature Detection Technique for Efficient Spectrum Usage: Future Research and Recent Advantages." Volume 32, pages 34514–34523, December 2021. (Impact Factor: Scopus)
Contact
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