Amir Nassereldine

University at Buffalo, State University of New York — United States

Biochemistry, Genetics and Molecular Biology · Life Sciences

4h-index83citations23works1.22yr avg
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Research Topics

Genomics and Phylogenetic Studies(3), Speech Recognition and Synthesis(3), Parallel Computing and Optimization Techniques(2), Cloud Computing and Resource Management(2), Advanced Image and Video Retrieval Techniques(2)

Publications23 total

Tiny-Align: Bridging Automatic Speech Recognition and Large Language Model on Edge
2025
Ensembler: Protect Collaborative Inference Privacy from Model Inversion Attack via Selective Ensemble
2025
Towards Pretraining Robust ASR Foundation Model with Acoustic-Aware Data Augmentation
arXiv (Cornell University)·2025Open Access
Empirical Guidelines for Deploying LLMs onto Resource-constrained Edge Devices
ACM Transactions on Design Automation of Electronic Systems·2025· 10 citedOpen Access
FP64 is All You Need: Rethinking Failure Modes in Physics-Informed Neural Networks
arXiv (Cornell University)·2025Open Access
NVCiM-PT: An NVCiM-Assisted Prompt Tuning Framework for Edge LLMs
2025· 1 cited
Towards Understanding Multi-Round Large Language Model Reasoning: Approximability, Learnability and Generalizability
ArXiv.org·2025Open Access
OpenVideoWalls: an Open-Source System for Building Video Walls with Recycling Heterogeneous Displays
2024
NVCiM-PT: An NVCiM-assisted Prompt Tuning Framework for Edge LLMs
arXiv (Cornell University)·2024Open Access
Automatic Screening for Children with Speech Disorder Using Automatic Speech Recognition: Opportunities and Challenges
Proceedings of the AAAI Symposium Series·2024· 1 citedOpen Access
Automatic Screening for Children with Speech Disorder using Automatic Speech Recognition: Opportunities and Challenges
arXiv (Cornell University)·2024· 1 citedOpen Access
PI-Whisper: Designing an Adaptive and Incremental Automatic Speech Recognition System for Edge Devices
arXiv (Cornell University)·2024Open Access
Large Language Models have Intrinsic Self-Correction Ability
arXiv (Cornell University)·2024· 2 citedOpen Access
Predicting the Performance-Cost Trade-off of Applications Across Multiple Systems
2023· 7 cited
Predicting the Performance-Cost Trade-off of Applications Across Multiple Systems
arXiv (Cornell University)·2023Open Access
A framework for high-throughput sequence alignment using real processing-in-memory systems
Bioinformatics·2023· 38 citedOpen Access
A framework for high-throughput sequence alignment using real processing-in-memory systems
Zenodo (CERN European Organization for Nuclear Research)·2023Open Access
Excel Spreadsheet Analyzer
arXiv (Cornell University)·2022Open Access
A Framework for High-throughput Sequence Alignment using Real Processing-in-Memory Systems
arXiv (Cornell University)·2022· 4 citedOpen Access
A Framework for High-throughput Sequence Alignment using Real Processing-in-Memory Systems
Zenodo (CERN European Organization for Nuclear Research)·2022Open Access
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Frequent Co-authors

Jinjun Xiong(14), Dancheng Liu(12), Izzat El Hajj(9), Mohammed Alser(7), Juan Gómez-Luna(7), Chenhui Xu(6), Safaa Diab(5), Onur Mutlu(4), Zheyu Yan(4), Safaa Diab(4), Yiyu Shi(3), Ruiyang Qin(3), Jiajie Li(2), Mohammed Baydoun(2), Kenneth Leach(2), Maxim Alt(2), Dejan Milojičić(2), Jason Yang(2), Ishan Albrecht-Buehler(2), Helen Qin(2)