Raghavendra M Ichangi

@cuk.ac.in

Assistant Professor Department of Artificial Intelligence and Machine Learning
Central University of Karnataka

Raghavendra M Ichangi


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https://researchid.co/rmichangi

EDUCATION

B.E. M.Tech (

RESEARCH, TEACHING, or OTHER INTERESTS

Engineering, Artificial Intelligence, Multidisciplinary, Management Information Systems
9

Scopus Publications

3

Scholar Citations

1

Scholar h-index

Scopus Publications

  • Automated Brain Tumour Classification and Segmentation using Deep Neural Networks
    Sudheesh K V, Manu H M, Raghavendra M Ichangi, Prabhavathi K, Dayanand Ram, et al.
    Proceedings of the 2026 6th International Conference on Image Processing and Capsule Networks Icipcn 2026, 2026
  • Transformer-Based Semantic Self-Attention Regression for the Evaluation of Customer Satisfaction in Social Media Data
    Raghavendra M. Ichangi, Shrinivasrao B. Kulkarni
    Engineering Technology and Applied Science Research, 2025
    A website that is optimized and has a high Search Engine Results Page (SERP) ranking is more likely to attract relevant users. As a result, there is a direct relationship between Search Engine Optimization (SEO) and user experience, and poor SEO makes it hard for a user to find the items he is looking for. The proposed Semantic Self-Attention Regression based on Transformer (SSAR-T) model uses four separate layers—tokenizing, embedding, encoding, and fine-tuning—to determine the degree of user experience satisfaction. Sample input text is fed to the tokenizing layer. The cosine Euclidean semantic similarity-based segment embedding is designed to help minimize the prediction error and training time. Self-attention-based encoder transformation is utilized with multiple attention heads, focusing on learning the context of surrounding words accurately and precisely. Non-linear regression-based fine-tuning is used for measuring customer satisfaction. KANO mapping functions are used to assess the model's precision. Compared to previous methods, the proposed SSAR-T model achieved improvements of 19%, 24% and 58% in precision and 9%, 14% and 12% in recall for SEO, Instagram influencer, and Twitter data samples, respectively.
  • Deep Learning Applications for Improving Early Detection and Staging Accuracy in Alzheimer’s Disease
    R Raksha, Jyoti Metan, Raghavendra M. Ichangi, P Suresh, Shazia Sulthana, et al.
    SN Computer Science, 2025
  • A Discretized Recurrent Deep Learning Classifier based on Stochastic Gradient ChatGPT to Improve Lead Conversion Rate
    Raghavendra M. Ichangi, Shrinivasrao B. Kulkarni
    Engineering Technology and Applied Science Research, 2025
    In the vast domain of digital marketing, lead generation forms the foundation for business development. Business strategies depend on converting the leads into customers. It has become very crucial and challenging to choose an appropriate digital platform for marketing. The proposed method, called Stochastic Gradient ChatGPT-based Discretized Recurrent Deep Learning Classification (SG-CDRDLC), employs an efficient way for lead conversion based on influencing feature keywords. The DL classifier with two hidden layers allows companies to determine the popularity of the keywords in the first layer. The second layer measures the keyword density based on a variety of user queries to evaluate and enhance the conversion rate. The proposed model was trained and tested on three datasets and compared against existing methods using accuracy, precision, recall, and training time.
  • QEMF for spatial domain pre-processing in iris biometrics: advancing accuracy and efficiency in recognition systems
    Prajwalasimha Sindugatta Nagaraja, Naveen Kulkarani, Raghavendra M. Ichangi, Vinitha Varanamkudath, Sharanabasappa Tadkal, et al.
    Bulletin of Electrical Engineering and Informatics, 2025
    This article presents a Quantum-Enhanced Median Filtering (QEMF) method for spatial domain pre-processing in iris biometrics, designed to improve image denoising and recognition accuracy. Traditional median filtering often struggles with high noise density, leading to inconsistencies in the denoised image. Our approach enhances the median filtering process by integrating quantum-inspired principles with statistical measures, combining median and average values of neighboring pixels. This hybrid strategy preserves the structural integrity of the original image while effectively reducing noise. Additionally, a quantum-based thresholding step is introduced in the final stage to minimize ambiguities and further enhance image quality. The proposed method is evaluated using approximately one hundred standard iris images from the Chinese University of Hong Kong (CUHK) dataset, considering four types of noise: Impulse, Poisson, Gaussian, and Speckle. Comparative analysis with conventional filters, including Median and Wiener filters, demonstrates that the QEMF method achieves 99.36% similarity to the original images, surpassing Median and Wiener filters by 1.32% and 0.34%, respectively. These results highlight the potential of quantum-enhanced filtering for improved denoising performance and increased efficiency in iris recognition systems.
  • Revolutionizing Brain Tumor Classification with Fusion-Driven Deep Learning Models
    Katepaka Anil Kumar, Gunasundari B, Raghavendra M Ichangi, S Arun Kumar, Jeethu Philip, et al.
    Apci 2025 2025 International Conference on Advancements in Power Communication and Intelligent Systems, 2025
  • Deep Transfer Learning with Dual Attention for Reliable Diabetic Retinopathy Screening
    Gunasundari B, Shaafia Tasneem N, Valli Priyadharshini K, R V V N Bheema Rao, Raghavendra M Ichangi, et al.
    IC Decon 2025 2025 International Conference on Data Energy and Communication Network Proceedings, 2025
  • The Role Of AI In Identifying Bearing Faults Of Renewable Energy Systems
    Raghavendra M Ichangi, Ramesh Babu N, Daison Stallon S, Sumalatha Kalakotla, Devanga Dharani Lakshmi, et al.
    3rd International Conference on Advances in Computing Communication and Materials Icaccm 2024, 2024
  • Exploring Non-convex Optimization in Sparse Signal Recovery: A Comparative Study of Non-convex Dantzig Selector and LASSO
    Raghavendra M. Devadas, Vani Hiremani, Aditi Sharma, Anita Venugopal, Raghavendra M. Ichangi, et al.
    Lecture Notes in Networks and Systems, 2024

RECENT SCHOLAR PUBLICATIONS

  • Deep Transfer Learning with Dual Attention for Reliable Diabetic retinopathy Screening
    G B, S Tasneem N, V Priyadharshini K, RVVNB Rao, RM Ichangi, ...
    2025 International Conference on Data, Energy and Communication Networks (DECoN) , 2026
    2026
  • Automated Brain Tumour Classification and Segmentation using Deep Neural Networks
    RM Ichangi, S K. V., M H. M., P K., D Ram, SK D. S.
    6th International Conference on Image Processing and Capsule Networks (ICIPCN) , 2026
    2026
  • Transformer-Based Semantic Self-Attention Regression for the Evaluation of Customer Satisfaction in Social Media Data
    RM Ichangi, SB Kulkarni
    Engineering, Technology & Applied Science Research 15 (6), 29745-29750 , 2025
    2025
  • Revolutionizing Brain Tumor Classification with Fusion-Driven Deep Learning Models
    RM Ichangi, G B
    IEEE , 2025
    2025
  • Deep Learning Applications for Improving Early Detection and Staging Accuracy in Alzheimer’s Disease
    R Raksha, J Metan, RM Ichangi, P Suresh, S Sulthana, MN Anusha, ...
    SN Computer Science 6 (7), 800 , 2025
    2025
    Citations: 2
  • The Role Of AI In Identifying Bearing Faults Of Renewable Energy Systems
    RM Ichangi, R Babu N, D Stallon S, S Kalakotla, DD Lakshmi, RS Selvan
    IEEE , 2025
    2025
  • A Discretized Recurrent Deep Learning Classifier based on Stochastic Gradient ChatGPT to Improve Lead Conversion Rate
    RM Ichangi, SB Kulkarni
    Engineering, Technology & Applied Science Research 15 (3), 22712-22717 , 2025
    2025
    Citations: 1
  • QEMF for spatial domain pre-processing in iris biometrics: advancing accuracy and efficiency in recognition systems
    PS Nagaraja, N Kulkarani, RM Ichangi, V Varanamkudath, S Tadkal, ...
    Bulletin of Electrical Engineering and Informatics 14 (3), 1959-1968 , 2025
    2025
  • Developing a Wireless Network for Optimum Distance Learning Assistant
    DRSS Dr.M.Prabha, Dr. Sudhir Anakal, Dr.Poornachandran R, Raghavendra M ...
    The Bioscan 19 (1), 351-355 , 2024
    2024
  • Exploring Non-convex Optimization in Sparse Signal Recovery: A Comparative Study of Non-convex Dantzig Selector and LASSO
    NKNP Raghavendra M. Devadas, Vani Hiremani, Aditi Sharma, Anita Venugopal ...
    Lecture Notes in Networks and Systems 1074, 57-67 , 2024
    2024
  • A Comparative Study of Various Digital Marketing Tools for enhancement of customer outreach
    RM Ichangi
    International Journal of Scientific Research in Engineering and Management 6 … , 2022
    2022
  • Analysis of Big Data Analytics for Social Media
    RM Ichangi
    International Journal for Research in Applied Science and Engineering … , 2021
    2021
  • Social Media Analytics – Applications and Tools for Social Media Networks
    RM Ichangi
    International Journal of All Research Education and Scientific Methods 9 (4 … , 2021
    2021
  • A Survey paper on Applications of Data Analytics
    RM Ichangi
    International Journal for Research in Applied Science & Engineering … , 2021
    2021

MOST CITED SCHOLAR PUBLICATIONS

  • Deep Learning Applications for Improving Early Detection and Staging Accuracy in Alzheimer’s Disease
    R Raksha, J Metan, RM Ichangi, P Suresh, S Sulthana, MN Anusha, ...
    SN Computer Science 6 (7), 800 , 2025
    2025
    Citations: 2
  • A Discretized Recurrent Deep Learning Classifier based on Stochastic Gradient ChatGPT to Improve Lead Conversion Rate
    RM Ichangi, SB Kulkarni
    Engineering, Technology & Applied Science Research 15 (3), 22712-22717 , 2025
    2025
    Citations: 1
  • Deep Transfer Learning with Dual Attention for Reliable Diabetic retinopathy Screening
    G B, S Tasneem N, V Priyadharshini K, RVVNB Rao, RM Ichangi, ...
    2025 International Conference on Data, Energy and Communication Networks (DECoN) , 2026
    2026
  • Automated Brain Tumour Classification and Segmentation using Deep Neural Networks
    RM Ichangi, S K. V., M H. M., P K., D Ram, SK D. S.
    6th International Conference on Image Processing and Capsule Networks (ICIPCN) , 2026
    2026
  • Transformer-Based Semantic Self-Attention Regression for the Evaluation of Customer Satisfaction in Social Media Data
    RM Ichangi, SB Kulkarni
    Engineering, Technology & Applied Science Research 15 (6), 29745-29750 , 2025
    2025
  • Revolutionizing Brain Tumor Classification with Fusion-Driven Deep Learning Models
    RM Ichangi, G B
    IEEE , 2025
    2025
  • The Role Of AI In Identifying Bearing Faults Of Renewable Energy Systems
    RM Ichangi, R Babu N, D Stallon S, S Kalakotla, DD Lakshmi, RS Selvan
    IEEE , 2025
    2025
  • QEMF for spatial domain pre-processing in iris biometrics: advancing accuracy and efficiency in recognition systems
    PS Nagaraja, N Kulkarani, RM Ichangi, V Varanamkudath, S Tadkal, ...
    Bulletin of Electrical Engineering and Informatics 14 (3), 1959-1968 , 2025
    2025
  • Developing a Wireless Network for Optimum Distance Learning Assistant
    DRSS Dr.M.Prabha, Dr. Sudhir Anakal, Dr.Poornachandran R, Raghavendra M ...
    The Bioscan 19 (1), 351-355 , 2024
    2024
  • Exploring Non-convex Optimization in Sparse Signal Recovery: A Comparative Study of Non-convex Dantzig Selector and LASSO
    NKNP Raghavendra M. Devadas, Vani Hiremani, Aditi Sharma, Anita Venugopal ...
    Lecture Notes in Networks and Systems 1074, 57-67 , 2024
    2024
  • A Comparative Study of Various Digital Marketing Tools for enhancement of customer outreach
    RM Ichangi
    International Journal of Scientific Research in Engineering and Management 6 … , 2022
    2022
  • Analysis of Big Data Analytics for Social Media
    RM Ichangi
    International Journal for Research in Applied Science and Engineering … , 2021
    2021
  • Social Media Analytics – Applications and Tools for Social Media Networks
    RM Ichangi
    International Journal of All Research Education and Scientific Methods 9 (4 … , 2021
    2021
  • A Survey paper on Applications of Data Analytics
    RM Ichangi
    International Journal for Research in Applied Science & Engineering … , 2021
    2021