Dr. Dhireesha Kudithipudi Profile

Dr. Dhireesha Kudithipudi

at Univ. of Texas San Antonio

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Author

Publications (6)

Proceedings Article | 6 September 2019 Paper

Digital neuromorphic chips for deep learning inference: a comprehensive study

Hamed Langroudi, Tej Pandit, Mark Indovina, Dhireesha Kudithipudi

Proceedings Volume 11139, 111390C (2019) https://doi.org/10.1117/12.2529407

KEYWORDS: Neural networks, Quantization, Computer architecture, Data storage, Convolution, Video surveillance, Image classification

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Proceedings Article | 31 May 2019 Presentation + Paper

Semi-random deep neural networks for near real-time target classification

Humza Syed, Ryan Bryla, Uttam Kumar Majumder, Dhireesha Kudithipudi

Proceedings Volume 10987, 109870E (2019) https://doi.org/10.1117/12.2520237

KEYWORDS: Neural networks, Image processing, Network architectures, Synthetic aperture radar, Data modeling, Neurons, Image classification, Convolutional neural networks, Telecommunications, Computing systems

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Proceedings Article | 13 May 2019 Presentation + Paper

Approximating large scale arbitrary unitaries with integrated multimode interferometers

Matthew van Niekerk, Jeffrey Steidle, Gregory Howland, Michael Fanto, Nicholas Soures, Fatima Tuz Zohora, Dhireesha Kudithipudi, Stefan Preble

Proceedings Volume 10984, 109840J (2019) https://doi.org/10.1117/12.2523581

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Proceedings Article | 12 May 2016 Paper

Optimized hardware framework of MLP with random hidden layers for classification applications

Abdullah Zyarah, Abhishek Ramesh, Cory Merkel, Dhireesha Kudithipudi

Proceedings Volume 9850, 985007 (2016) https://doi.org/10.1117/12.2225498

KEYWORDS: Feature extraction, Neurons, Network architectures, Databases, MATLAB, Electroluminescent displays, Mathematical modeling, Neodymium, Neural networks, Software development

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Proceedings Article | 22 May 2014 Paper

Heterogeneous CMOS/memristor hardware neural networks for real-time target classification

Cory Merkel, Dhireesha Kudithipudi, Ray Ptucha

Proceedings Volume 9119, 911908 (2014) https://doi.org/10.1117/12.2053436

KEYWORDS: Neurons, Neural networks, Spatial light modulators, Classification systems, Data modeling, Mirrors, Resistance, Image classification, Detection and tracking algorithms, Databases

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Proceedings Article | 22 May 2014 Paper

Towards leakage resiliency: memristor-based AES design for differential power attack mitigation

Ganesh Khedkar, Colin Donahue, Dhireesha Kudithipudi

Proceedings Volume 9119, 911907 (2014) https://doi.org/10.1117/12.2053373

KEYWORDS: Logic, Computer aided design, Neurons, Resistance, Neural networks, Symmetric-key encryption, Switching, Computing systems, Instrument modeling

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Showing 5 of 6 publications

Conference Committee Involvement (3)

Applications of Machine Learning 2021

4 August 2021 | San Diego, California, United States

Applications of Machine Learning 2020

23 August 2020 | Online Only, California, United States

Applications of Machine Learning

13 August 2019 | San Diego, California, United States

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