Publications
Peer-reviewed publications and manuscripts in progress. Each entry includes a one-click citation copy button for convenience.
Published / Accepted
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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"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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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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“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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Srinivas Rahul Sapireddy, Asifuzzaman K., Mostafizur Rahman
"Simplifying Activations with Linear Approximations in Neural Networks"
Memories - Materials, Devices, Circuits and Systems (Elsevier), 2025. [DOI] Published
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"Simplifying Activations with Linear Approximations in Neural Networks"
Memories - Materials, Devices, Circuits and Systems (Elsevier), 2025. [DOI] Published
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Srinivas Rahul Sapireddy, G Surekha, Hemanth Bandi
"Bin-Based R: Resource-Efficient RF Modulation Classification Using Envelope Statistics"
IEEE SoutheastCon, March 13–15, 2026, Huntsville, Alabama Accepted and Presented
"Bin-Based R: Resource-Efficient RF Modulation Classification Using Envelope Statistics"
IEEE SoutheastCon, March 13–15, 2026, Huntsville, Alabama Accepted and Presented
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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 (Elsevier), 2023. [DOI] Published
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“A Review of Crosstalk Polymorphic Circuits and Their Scalability”
Memories - Materials, Devices, Circuits and Systems (Elsevier), 2023. [DOI] Published
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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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“Understanding and Detecting Adversarial Examples in IoT Networks: A White-Box Analysis with Autoencoders”
MDPI Electronics, 2025. [DOI] Published
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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”
International Journal of Engineering Trends and Technology, vol. 34, no. 6, pp. 256–259, April 2016. [DOI] Published
“Two-Stage Operational Amplifier with a Gain Boosted, Source Follower Buffer”
International Journal of Engineering Trends and Technology, vol. 34, no. 6, pp. 256–259, April 2016. [DOI] Published
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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
“Automation of Patient Medical Record Dispatch System Software Application”
IJARSET, vol. 5, no. 6, pp. 6074–6097, Jun. 2018 Published
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Srinivas Rahul Sapireddy
“CAM Cell Based Memory Architecture for Extreme Searching Operations”
IJAECS, vol. 3, issue 8, pp. 80–83, August 2016. Published
“CAM Cell Based Memory Architecture for Extreme Searching Operations”
IJAECS, vol. 3, issue 8, pp. 80–83, August 2016. Published
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Mostafizur Rahman, Arif Iqbal, Srinivas Rahul Sapireddy
“A Messaging based Intelligent Computing Approach for Machine Learning Applications”
Accessed: Mar, Volume 20, 2024. 📄 Online Archive
“A Messaging based Intelligent Computing Approach for Machine Learning Applications”
Accessed: Mar, Volume 20, 2024. 📄 Online Archive
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