Publications

Collaborations

📚 Publications

✅ Work In Progress

Srinivas Rahul Sapireddy, Hemanth Bandi
“Edge-AI Healthcare: Quantization-Aware DNN”
IEEE International Conference on Healthcare Informatics , June 1–4, 2026 Work in Progress

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Srinivas Rahul Sapireddy, .....
“Adaptive Regularization - Efficient Neural Networks”
IEEE Computer Society Annual Symposium on VLSI - ISVLSI , April 20-21, 2026 Work in Progress

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Srinivas Rahul Sapireddy, .....
“EABS: Lightweight Entropy-Binning Framework for Intelligent Signal Processing”
IEEE Wireless and Microwave Technology Conference , July 7-10, 2026 Work in Progress

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Srinivas Rahul Sapireddy, .....
“Bridging Programming Paradigms: Computer Science Education”
International Conference on Computer Supported Education , May 18-20, 2026 Work in Progress

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✅ Published

Srinivas Rahul Sapireddy, Mostafizur Rahman
“On the Effectiveness of Custom Activation Functions on Long-Term Short-Term Memory”
The 35th edition of ACM Great Lakes Symposium on VLSI (GLSVLSI), 2025, New Orleans, LA. [DOI] Published Session: VLSI for Machine Learning and Artificial Intelligence | Acceptance rate: 27%
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📑 Cite Srinivas Rahul Sapireddy and Mostafizur Rahman. 2025. On the Effectiveness of Piecewise Activation Approximations for Long-Term Short-Memory Networks. In Proceedings of Great Lakes Symposium on VLSI 2025 (GLSVLSI '25), June 29, 2025, pp. 740–745. https://doi.org/10.1145/3716368.3735217

Srinivas Rahul Sapireddy, Mostafizur Rahman
“Re-Visiting R: Statistical Envelope Analysis for Lightweight Modulation Classification”
IEEE International Conference on Radio Frequency Communication and Networks (RFCoN), 2025. [DOI] Published 🏆 Best Paper Award Track 2 | Session II | Paper ID: 718 | Acceptance rate: 12%
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📑 Cite S. R. Sapireddy and M. Rahman, "Revisiting R: Statistical Envelope Analysis for Lightweight RF Modulation Classification," 2025 1st International Conference on Radio Frequency Communication and Networks (RFCoN), Thanjavur, India, 2025, pp. 1-6, doi: 10.1109/RFCoN62306.2025.11085271

Srinivas Rahul Sapireddy, Asifuzzaman K., Mostafizur Rahman
"Simplifying Activations with Linear Approximations in Neural Networks"
Memories – Materials, Devices, Circuits and Systems, 2025. [DOI] Published
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📑 Cite Sapireddy, S. R., Asifuzzaman, K., & Mostafizur, R. (2025). Simplifying activations with linear approximations in neural networks. Memories - Materials, Devices, Circuits and Systems, 100134. https://doi.org/10.1016/j.memori.2025.100134

Iqbal, M. A., Sapireddy, S. R., Dasari, S., Asifuzzaman K., Rahman, M.
“A Review of Crosstalk Polymorphic Circuits and Their Scalability”
Memories – Materials, Devices, Circuits and Systems [DOI] Published
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📑 Cite Iqbal, M. A., Sapireddy, S. R., Dasari, S., Asifuzzaman, K., & Rahman, M. (2024). A review of crosstalk polymorphic circuits and their scalability. Memories - Materials, Devices, Circuits and Systems, 7, 100094. https://doi.org/10.1016/j.memori.2023.100094

Wafi Danesh, Srinivas Rahul Sapireddy, Mostafizur Rahman
“Understanding and Detecting Adversarial Examples in IoT Networks: A White-Box Analysis with Autoencoders”
MDPI Electronics, 2025. [DOI] Published
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📑 Cite Danesh, W.; Sapireddy, S.R.; Rahman, M. Understanding and Detecting Adversarial Examples in IoT Networks: A White-Box Analysis with Autoencoders. Electronics 2025, 14, 3015. https://doi.org/10.3390/electronics14153015

Srinivas Rahul Sapireddy, G Surekha, Hemanth Bandi
"Re-Defining R: Resource-Efficient Modulation Classification"
IEEE Microwaves, Antennas, and Propagation Conference (MAPCON), December 14–18, 2025.
Accepted

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Sapireddy, Srinivas Rahul, P. N. Tejaswi, Y. M. Sandeep, K. Hari Krishna
“Two-Stage Operational Amplifier with a Gain Boosted, Source Follower Buffer”
IJETT, vol. 34, no. 6, pp. 256–259, April 2016. [DOI] Published

📑 Cite S. R. Sapireddy, P. N. Tejaswi, Y. M. Sandeep, and K. H. Krishna, "Two-Stage Operational Amplifier with a Gain Boosted, Source Follower Buffer," IJETT, vol. 34, no. 6, pp. 256–259, Apr. 2016.

Gurijala, B. T., Sapireddy, S. R.
“Automation of Patient Medical Record Dispatch System Software Application”
IJARSET, vol. 5, no. 6, pp. 6074–6097, Jun. 2018 Published

📑 Cite B. T. Gurijala and S. R. Sapireddy, "Automation of Patient Medical Record Dispatch System Software Application", International Journal of Advanced Research in Science, Engineering and Technology (IJARSET), vol. 5, no. 6, pp. 6074–6097, Jun. 2018.

Srinivas Rahul Sapireddy
“CAM Cell Based Memory Architecture for Extreme Searching Operations”
IJAECS, vol. 3, issue 8, pp. 80–83, August 2016. Published

📑 Cite S. R. Sapireddy, "CAM Cell Based Memory Architecture for Extreme Searching Operations," IJAECS, vol. 3, no. 8, pp. 80–83, Aug. 2016.

Mostafizur Rahman, Arif Iqbal, Srinivas Rahul Sapireddy
“A Messaging based Intelligent Computing Approach for Machine Learning Applications”
Accessed: Mar, Volume 20, 2024. 📄 Online Archive

📑 Cite M. Rahman, A. Iqbal, and S. R. Sapireddy, "A Messaging Based Intelligent Computing Approach for Machine Learning Applications," Accessed: Mar, vol. 20, 2024.

📝 To be Submitted / Under Review

Srinivas Rahul Sapireddy, Naznin Akther, Mostafizur Rahman
“Lightweight Classification of Spread Spectrum Signals Using Cyclostationary Autocorrelation-Based Binning” IEEE Military Communications Conference (MILCOM), October 6 - 10, 2025, Los Angeles, California. To be Submitted

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Srinivas Rahul Sapireddy
“Refining Deep Reinforcement Learning with Double Estimation and Optimized Target Updates”
6th International Conference on Computing and Communication Networks (ICCCNet-2026),
17th - 19th July, 2026, MANCHESTER, UNITED KINGDOM To be Submitted

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Jahnavi Sri Kavya Bollimuntha*, Srinivas Rahul Sapireddy*
“From Rule-Based to Neural: Statistical Envelope Feature Classification Using Feedforward Networks”
IEEE International Conference on Intelligent Systems, Smart and Green Technologies,
February 2026. To be Submitted

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Publication Venues

Profiles & Identifiers