Dr. Sahebgoud H. Karaddi

Associate Professor

Qualification Details

• Ph. D (Electronics Engineering)
• M.Tech (Communication Systems Engineering)
• B.E (Electronics & Communication Engineering)

Professional Experience

• 2025-Till date Associate Professor, Department of ISE, RIT-Hassan
• 2024-2025 Assistant Professor, Department of Electronics and Telecommunication, MIT-AOE,
• 2020-2021 Assistant Professor, Department of Electronics and Communication, Malla Reddy Institute of
  • Engineering and Technology, Hyderabad.
• .2017-2020 Assistant Professor Department of Electronics and Communication, Narsimha Reddy College of
  • Engineering and Management,
• 2016-2017, Assistant Professor, Department of Electronics and Communication, Malla Reddy Institute of
  • Engineering and Technology, Hyderabad.

PUBLICATIONS

Journal Articles

2024 – 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:2.6 ).

2024 – Sahebgoud Hanamantray Karaddi, Lakhan Dev Sharma, and Abhijit Bhattacharya. Softflatten- net: A deep convolutional neural network design for monkeypox classification from digital skin lesions images. IEEE Sensors Journal. IEEE, 2024, ( Impact Factor:4.325 ).

2024 – 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 ).

2023 – 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:8.5 ).

2021 – 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, 12 2021, ( Impact Factor:Scopus ).

Communicated Journal Article

• 2024 S. H. Karaddi and L. D. Sharma, Lung disease classification using novel Lung Disease Classification Network(LDCNET) with hybrid activation from Chest radiographs, In International Journal of Machine Learning and cybernetics.

Status: Under review

• 2023 S. H. Karaddi and L. D. Sharma, PULMONET: Classification of Pulmonary Disorders Using Deep Learning in Chest Multi-modal Images, In Diagnostics.

Status: Comments submitted

• 2023 S. H. Karaddi and L. D. Sharma, Classification of Lung Diseases using SURF Features from Chest Radiographs Images, In Smart Health.

Status: Under review

• 2022 S. H. Karaddi, Krishna Chaitanya, Diksha Sharma, and L. D. Sharma, Multi-class classifi- cation of Alzheimer’s diseases using convolutional neural networks from brain MRI’s, In Journal of Medical Engineering and Technology.

Status:Comments submitted

In Conference Proceedings

• 2023 Sahebgoud Hanamantray Karaddi, K Srilakshmi, Lakhan Dev Sharma, Diksha Sharma, and Ram Sewak Singh. Detection of covid-19 using covinet and vgg-16 models. In 2023 3rd International conference on Artificial Intelligence and Signal Processing (AISP), pages 1–5. IEEE, 2023.
• 2023 Sahebgoud Hanamantray Karaddi and Lakhan Dev Sharma. Study of sq-net behavior using t-sne activation by classification of lung diseases in chest radiographs. In 2023 3rd International conference on Artificial Intelligence and Signal Processing (AISP), pages 1–5. IEEE, 2023.
• 2018 S Karaddi, P Babu, and R Reddy. Detection of brain tumor using otsu-region based method of segmentation. In International Conference on Computing Methodologies and Communication (ICCMC), pages 128–134, 2018.
• 2015 V Kohir and S Karradi. Detection of brain tumor using back-propagation and probabilistic neural network. In Proceedings of 19th IRF International Conference, India. International Research Forum, 2015.

Communicated Conference Articles

• 2022 S. H. Karaddi and L. D. Sharma, Segmentation and Classification of Pulmonary diseases using Artificial Neural Networks and Otsu-Region Based Method from Chest Radiographs, In International Conference on ETMDSIT-2024 (publisher:Springer) .

Status: Accepted

Patents

• 2023 S. H. Karaddi and L. D. Sharma, System and method for facilitating targeted treatment by analyzing diagnostic images and classifying lung diseases. (Patent No:202441001924)., In IPR Patent.
• 2023 S. H. Karaddi and L. D. Sharma, System and method facilitating classification of lung diseases. (Patent No:202341061968)., In IPR Patent.
• 2022 S. H. Karaddi and Sharana Basappa C. Ghandage, Deep learning model for prediction of cancer with stage level varying parameters and analysis of gene expression. (Patent No:202341061968)., In IPR Patent.
• 2021 S. H. Karaddi, Rameshbabu, and Durga Honey Tiwari, Anti-theft cloud interfaced smart frame structure for Windows. (Patent No:202141026316)., In IPR Patent.

Book Chapters/ Textbooks

• 2021 S. Rameshbabu, Dr. S. Prabhakar rao, J. Sunilkumar, and Sahebgoud karaddi , Ana- log and Digital Communication. (ISBN: 939479901X, 9789394799011., Analog and Digital Communication( A Textbook available in google eBooks).
• 2021 Sahebgoud H. Karaddi, Dr. P Ashok Babu, andDr. M. Ajay Kumar, Electromagnetic Field Waves and Transmission Lines ( ISBN: 9781685762599,)., In IIP Publisher.

A Text book

Subjects Thought

Embedded Edge AI, Digital Electronics or Digital Logic Design, Basic Electronics, Linear Control System, Digital Signal Processing, Digital Image Processing, Electronics Circuit Applications, Electromagnetic Waves, Deep Learning, Problem Solving using Python, machine learning, Computer networks, IoT.

Research Experience

June,2021 – Classification of Lung Diseases.

present Lung Disease Classification Using Machine Learning Techniques from Chest Radiographs.

Advisor : Dr. Lakhan Dev Sharma, Associate Professor, School of Electronics Engineering, VIT-AP University, Amaravathi

Fellowships & Awards

• 2024 Life-time member of AIMEE Association and also governing Board member.
• 2023 Receipt of Raman Research Award in VIT-AP University at 2023.
• 2015 Awarded Gold Medal in M.Tech. from Poojya Doddappa Appa Collge of Engineering, Kalburgi Karnataka
• 2015 Receipt of Excellence Award in the 19th IRF International Conference (ICCMC-2015) Conducted by International Research Forum, 2015 in Chennai, India.
• 2012-2015 Recipient of TEQIP Scholarship In M.Tech Poojya Doddappa Appa College of Engineering, Kalburgi

Academic Achievements & Recognitions

• 2025 Attended FDP on Embedded Edge AI Attended the FDP on Embedded Edge AI (2025). 2025 I have reviewed more than 30 research articles from reputed SCIE or SCOPUS international journals.
• 2023 NPTEL Certification on Deep Learning (2023)
• 2023 Research Award Received an research award for the publication at VIT-AP university on 2023 2022 Research Award Received an research award for the publication VIT-AP university on 2022 2022 NPTEL Certification on Digital Image Processing (2022)
• 2019 Conducted Technical Talk on Applications of the Electromagnetics and Transmission Lines at Narsimha Reddy Engineering College, Hyderabad (2019)
• 2018 Conducted Workshop on PCB Designing at Narsimha Reddy Engineering College, Hyderabad (2018)
• 2021 Certified Reviewer in many International Journals and Conferences. (From 2021)