Dr. Sudeshna Pattanaik

Dynamic Assistant Professor at Sambalpur University Institute of Information Technology, skilled in Python and deep learning. Successfully mentored students, enhancing their career prospects, while actively contributing to curriculum development. Recognized for research contributions and fostering a collaborative academic environment, driving student engagement and achievement.

• Medical Image Analysis
• Deep Learning and Computer Vision
• Opthalmic Disease Detection
• AI in Healthcare & IoT Systems

Doctoral Researcher 

Veer Surendra Sai University of Technology, Burla , Sambalpur (2021-2026)

• Developed a CNN-BiLSTM model for glaucoma detection using retinal fundus images
• Proposed Adaswarm optimization combining Adam and Particle Swarm Optimization for Improved convergence
• Performed feature extraction using CNN pooling layers and LBP (Local Binary Patterns)
• Demonstrated Improved Performance over baseline deep learning models

Journal Articles (Peer-Reviewed)

• S. Pattanaik, C. Chakraborty, S. Behera, S. K. Majhi and S. K. Pani, "An MIoT Framework of Consumer Technology for Medical Diseases Prediction," in IEEE Transactions on Consumer Electronics, vol. 70, no. 1, pp. 3754-3761, Feb. 2024, doi: 10.1109/TCE.2024.3377922.
• Pattanaik, S., Behera, S., Majhi, S.K., Pradhan, R. and Dwibedy, P., 2025. An ensemble stacked Bi-LSTM with ResNet50 method for glaucoma classification in IoT framework: an ensemble method for glaucoma classification IoT framework. Journal of Scientific & Industrial Research (JSIR), 84(1), pp.24-35.

Conference Papers

• S. Pattanaik, S. Behera, P. K. Dwibedy, S. K. Majhi and R. Pradhan, "AdaRes: ResNet50 with AdaSwarm for Glaucoma Classification & Detection," 2022 3rd International Conference for Emerging Technology (INCET), Belgaum, India, 2022, pp. 1-5, doi: 10.1109/INCET54531.2022.9825121.
• Pattanaik, S., Behera, S., Majhi, S.K. and Dwibedy, P.K., 2022, July. Stacked BiLSTM with ResNet50 for medical image classification. In 2022 IEEE Region 10 Symposium (TENSYMP) (pp. 1-6). IEEE.
• Pattanaik, S., Mittal, P., Pradhan, R., Majhi, S.K. (2025). AGCRNL: Automatic Glaucoma Classification Using Residual Network and LSTM. In: Sharma, H., Chakravorty, A., Hussain, S., Kumari, R. (eds) Artificial Intelligence: Theory and Applications. AITA 2024, doi: https://doi.org/10.1007/978-981-96-1687-9_5

Under Review    

• Pattanaik, Sudeshna, Santosh Kumar Majhiand Rosy Pradhan, “Glaucoma Detection Using an Optimized CNN by Improved Honey Badger Algorithm”, Signal, Image and Video Processing.