Dr. Madarapu Sandeep

Assistant Professor • Department of Computer Science & Artificial Intelligence

PhD from

NIT Rourkela

Years of Experience

7 Years

Web Pages

Google Scholar

Contact Details

m.sandeep@sru.edu.in

Availability

Research Areas

Artificial Intelligence Deep Learning Signal and Image Processing

Student Supervision

Ph. D.: ongoing 16, M.Tech. on going 01

Ph.D.

2025

NIT Rourkela

Assistant Professor

2025-pre

SR university

Assistant Professor

2024-2025

Amrita University Banglore

→ Introduction to Electronics
→ Deep Learning
→ Digital Logic Design
→ Network Anaysis
→ Analog Communications
→ Data Analytics and Visualization

Key Publications

1. Sandeep Madarapu, S Ari, and KK Mahapatra, “C2x-FNet: Cascaded Dense Block with Two-fold Cross Feature Enhancement Module for Diabetic Retinopathy Grading,” IEEE Transactions on Instrumentation and Measurement, 2024.
2. Sandeep Madarapu, S Ari, and KK Mahapatra, “DWAKC: Dynamic Weighted Adaptive Kernel Convolution for Diabetic Retinopathy Grading,” IEEE Transactions on Artificial Intelligence, 2025.
3. Patro KK, Prakash AJ, Sandeep Madarapu, Ari S, Routray S, Mukherjee A, and Mishra S, “MalNet-DAF: Dual-Attentive Fusion Deep Learning Model for Malaria Parasite Classification,” IEEE Journal of Biomedical and Health Informatics, July 2025.
4. Sandeep Madarapu, S Ari, and KK Mahapatra, “A deep integrative approach for diabetic retinopathy classification with synergistic channel-spatial and self-attention mechanism,” Expert Systems with Applications, Volume 249 Part A (123523), Feb. 2024.
5. Sandeep Madarapu, S Ari, and KK Mahapatra, “DFCAFNet: Dual-Feature Co-Attentive Fusion Network for Diabetic Retinopathy Grading,” Biomedical Signal Processing and Control, 96 (2024): 106564.
6. Sandeep Madarapu, S Ari, and KK Mahapatra, “A multi-resolution convolutional attention network for efficient diabetic retinopathy classification,” Computers and Electrical Engineering, Volume 117, Pages 109243, April. 2024.
Abdul Khalik Sheri, Mohammad Iman Junaid, Sandeep Madarapu, and Samit Ari, “CANet: Cross Alignment Network for Human Gait Recognition,” in IEEE MultiMedia, vol. 33, no. 2, pp. 8-19, April-June 2026.
8. Amit Kumar, Sandesh Aryal, Sandeep Madarapu, Mohammad Iman Junaid and Samit Ari, “DM-FNet: Deep Multi-scale Fusion Attention Network for White Blood Cell Classification,” Biomedical Signal Processing and Control, Volume 118, Pages 109666, Feb. 2026.
9. B Deepika, M I Juniad, Sandeep Madarapu, J P Sahoo, and S Ari, “CRA-Net: Cross reverse attention network for classification of neuro-degenerative diseases based on gait analysis,” Biomedical Signal Processing and Control, 108, p.107886, April 2025.
Aryal S, Naik SK, Sandeep Madarapu, and Ari S, “AFMNet: Adaptive feature modulation network for classification of white blood cells,” Biocybernetics and Biomedical Engineering, 45, p. 539-548, July 2025
A K Singh, Sandeep Madarapu, S Ari, “Diabetic Retinopathy Grading based on Multi-Scale Residual Network and Cross-Attention Module,” Digital Signal Processing, p.104888. Nov 2024.
M. I. Juniad, Sandeep Madarapu and S. Ari, “Human gait recognition using dense residual network and hybrid attention technique with back-flow mechanism,” Digital Signal Processing, 108, p.105401, June 2025.
M. I. Juniad, Sandeep Madarapu and S. Ari, “Human gait recognition using attention based convolutional network with sequential learning,” Signal, Image and Video Processing, 19(1), pp.1-8, Jan. 2025.

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