Saransh Gupta

IBM (United States) — United States

Engineering · Physical Sciences

20h-index1.7kcitations68works2.32yr avg
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Research Topics

Advanced Memory and Neural Computing(33), Ferroelectric and Negative Capacitance Devices(32), Parallel Computing and Optimization Techniques(12), Cryptography and Data Security(9), Advanced Data Storage Technologies(9)

Publications68 total

Symbiosis: Multi-Adapter Inference and Fine-Tuning
arXiv (Cornell University)·2025Open Access
A Private Blockchain-Based Secure Framework for Patient-Centric Medical Data Management with Off-Chain Storage and Machine Learning Integration
2025
FHEmem: A Processing In-Memory Accelerator for Fully Homomorphic Encryption
IEEE Transactions on Emerging Topics in Computing·2025· 5 cited
Tri-HD: Energy-Efficient On-Chip Learning With In-Memory Hyperdimensional Computing
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems·2024· 4 cited
FHEmem: A Processing In-Memory Accelerator for Fully Homomorphic Encryption
arXiv (Cornell University)·2023Open Access
ClotCatcher: a novel natural language model to accurately adjudicate venous thromboembolism from radiology reports
BMC Medical Informatics and Decision Making·2023· 4 citedOpen Access
Sparsity Controllable Hyperdimensional Computing for Genome Sequence Matching Acceleration
2023· 1 cited
Efficient Machine Learning on Encrypted Data Using Hyperdimensional Computing
2023· 7 cited
RAPIDx: High-Performance ReRAM Processing In-Memory Accelerator for Sequence Alignment
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems·2023· 9 citedOpen Access
Image Colorization: A Convolutional Network Approach
Lecture notes in networks and systems·2023· 1 cited
RAPIDx: High-performance ReRAM Processing in-Memory Accelerator for Sequence Alignment
arXiv (Cornell University)·2022· 1 citedOpen Access
MemFHE: End-to-end Computing with Fully Homomorphic Encryption in Memory
ACM Transactions on Embedded Computing Systems·2022· 40 cited
HDnn-PIM: Efficient in Memory Design of Hyperdimensional Computing with Feature Extraction
Proceedings of the Great Lakes Symposium on VLSI 2022·2022· 28 citedOpen Access
Stochastic-HD: Leveraging Stochastic Computing on the Hyper-Dimensional Computing Pipeline
Frontiers in Neuroscience·2022· 2 citedOpen Access
Su1534: ACCURATE, ROBUST, AND SCALABLE ABSTRACTION OF MAYO ENDOSCOPIC SUBSCORES FROM COLONOSCOPY REPORTS
Gastroenterology·2022· 2 citedOpen Access
MemFHE: End-to-End Computing with Fully Homomorphic Encryption in Memory
arXiv (Cornell University)·2022· 2 citedOpen Access
Store-n-Learn: Classification and Clustering with Hyperdimensional Computing across Flash Hierarchy
ACM Transactions on Embedded Computing Systems·2022· 5 citedOpen Access
Deep Learning Analyses of Brain MRI to Identify Sustained Attention Deficit in Treated Obstructive Sleep Apnea: A Pilot Study
Sleep and Vigilance·2022· 7 citedOpen Access
COSMO: Computing with Stochastic Numbers in Memory
ACM Journal on Emerging Technologies in Computing Systems·2022· 3 citedOpen Access
Invited: Accelerating Fully Homomorphic Encryption with Processing in Memory
2021· 14 cited
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Frequent Co-authors

Tajana Rosing(36), Mohsen Imani(33), Yeseong Kim(9), Minxuan Zhou(9), Justin Morris(6), Barış Akşanlı(6), Tajana Rosing(5), Behnam Khaleghi(5), Rosario Cammarota(5), Weihong Xu(4), Sahand Salamat(3), Farinaz Koushanfar(3), Joonseop Sim(3), Fan Wu(3), R. Ramkumar(3), Jeffrey Xu Yu(3), Yilun Hao(3), Ricardo Garcı́a(2), Arpan Dutta(2), Andrew Huang(2)