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Nour Almadhoun
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2020 – today
- 2023
- [i10]Maximilian-David Rumpf, Mohammed Alser, Arvid E. Gollwitzer, Joël Lindegger, Nour Almadhoun, Can Firtina, Serghei Mangul, Onur Mutlu:
SequenceLab: A Comprehensive Benchmark of Computational Methods for Comparing Genomic Sequences. CoRR abs/2310.16908 (2023) - 2022
- [c5]Nika Mansouri-Ghiasi, Jisung Park, Harun Mustafa, Jeremie S. Kim, Ataberk Olgun, Arvid Gollwitzer, Damla Senol Cali, Can Firtina, Haiyu Mao, Nour Almadhoun Alserr, Rachata Ausavarungnirun, Nandita Vijaykumar, Mohammed Alser, Onur Mutlu:
GenStore: a high-performance in-storage processing system for genome sequence analysis. ASPLOS 2022: 635-654 - [c4]Damla Senol Cali, Konstantinos Kanellopoulos, Joël Lindegger, Zülal Bingöl, Gurpreet S. Kalsi, Ziyi Zuo, Can Firtina, Meryem Banu Cavlak, Jeremie S. Kim, Nika Mansouri-Ghiasi, Gagandeep Singh, Juan Gómez-Luna, Nour Almadhoun Alserr, Mohammed Alser, Sreenivas Subramoney, Can Alkan, Saugata Ghose, Onur Mutlu:
SeGraM: a universal hardware accelerator for genomic sequence-to-graph and sequence-to-sequence mapping. ISCA 2022: 638-655 - [c3]Nika Mansouri-Ghiasi, Jisung Park, Harun Mustafa, Jeremie S. Kim, Ataberk Olgun, Arvid Gollwitzer, Damla Senol Cali, Can Firtina, Haiyu Mao, Nour Almadhoun Alserr, Rachata Ausavarungnirun, Nandita Vijaykumar, Mohammed Alser, Onur Mutlu:
GenStore: In-Storage Filtering of Genomic Data for High-Performance and Energy-Efficient Genome Analysis. ISVLSI 2022: 283-287 - [c2]Haiyu Mao, Mohammed Alser, Mohammad Sadrosadati, Can Firtina, Akanksha Baranwal, Damla Senol Cali, Aditya Manglik, Nour Almadhoun Alserr, Onur Mutlu:
GenPIP: In-Memory Acceleration of Genome Analysis via Tight Integration of Basecalling and Read Mapping. MICRO 2022: 710-726 - [i9]Nika Mansouri-Ghiasi, Jisung Park, Harun Mustafa, Jeremie S. Kim, Ataberk Olgun, Arvid Gollwitzer, Damla Senol Cali, Can Firtina, Haiyu Mao, Nour Almadhoun Alserr, Rachata Ausavarungnirun, Nandita Vijaykumar, Mohammed Alser, Onur Mutlu:
GenStore: A High-Performance and Energy-Efficient In-Storage Computing System for Genome Sequence Analysis. CoRR abs/2202.10400 (2022) - [i8]Mohammed Alser, Sharon Waymost, Ram Ayyala, Brendan Lawlor, Richard J. Abdill, Neha Rajkumar, Nathan LaPierre, Jaqueline J. Brito, Andre M. Ribeiro-dos-Santos, Can Firtina, Nour Almadhoun, Varuni Sarwal, Eleazar Eskin, Qiyang Hu, Derek Strong, Byoung-Do Kim, Malak S. Abedalthagafi, Onur Mutlu, Serghei Mangul:
Packaging, containerization, and virtualization of computational omics methods: Advances, challenges, and opportunities. CoRR abs/2203.16261 (2022) - [i7]Damla Senol Cali, Konstantinos Kanellopoulos, Joël Lindegger, Zülal Bingöl, Gurpreet S. Kalsi, Ziyi Zuo, Can Firtina, Meryem Banu Cavlak, Jeremie S. Kim, Nika Mansouri-Ghiasi, Gagandeep Singh, Juan Gómez-Luna, Nour Almadhoun Alserr, Mohammed Alser, Sreenivas Subramoney, Can Alkan, Saugata Ghose, Onur Mutlu:
SeGraM: A Universal Hardware Accelerator for Genomic Sequence-to-Graph and Sequence-to-Sequence Mapping. CoRR abs/2205.05883 (2022) - [i6]Mohammed Alser, Joël Lindegger, Can Firtina, Nour Almadhoun, Haiyu Mao, Gagandeep Singh, Juan Gómez-Luna, Onur Mutlu:
Going From Molecules to Genomic Variations to Scientific Discovery: Intelligent Algorithms and Architectures for Intelligent Genome Analysis. CoRR abs/2205.07957 (2022) - [i5]Mohammed Alser, Jeremie S. Kim, Nour Almadhoun Alserr, Stefan W. Tell, Onur Mutlu:
COVIDHunter: COVID-19 pandemic wave prediction and mitigation via seasonality-aware modeling. CoRR abs/2206.06692 (2022) - [i4]Haiyu Mao, Mohammed Alser, Mohammad Sadrosadati, Can Firtina, Akanksha Baranwal, Damla Senol Cali, Aditya Manglik, Nour Almadhoun Alserr, Onur Mutlu:
GenPIP: In-Memory Acceleration of Genome Analysis via Tight Integration of Basecalling and Read Mapping. CoRR abs/2209.08600 (2022) - 2021
- [i3]Mohammed Alser, Jeremie S. Kim, Nour Almadhoun Alserr, Stefan W. Tell, Onur Mutlu:
COVIDHunter: An Accurate, Flexible, and Environment-Aware Open-Source COVID-19 Outbreak Simulation Model. CoRR abs/2102.03667 (2021) - [i2]Nour Almadhoun Alserr, Gulce Kale, Onur Mutlu, Öznur Tastan, Erman Ayday:
Near-Optimal Privacy-Utility Tradeoff in Genomic Studies Using Selective SNP Hiding. CoRR abs/2106.05211 (2021) - [i1]Nour Almadhoun Alserr, Özgür Ulusoy, Erman Ayday, Onur Mutlu:
GenShare: Sharing Accurate Differentially-Private Statistics for Genomic Datasets with Dependent Tuples. CoRR abs/2112.15109 (2021) - 2020
- [b1]Nour Almadhoun Alserr:
On the tradeoff between privacy and utility in genomic studies: Differential privacy under dependent tuples (Genomik çalışmalarda gizlilik ve verinin işe yararlılığı üzerine analiz: Bağımlı elemanlar altında diferansiyel gizlilik). İhsan Doğramacı Bilkent University, Turkey, 2020 - [j2]Nour Almadhoun, Erman Ayday, Özgür Ulusoy:
Differential privacy under dependent tuples - the case of genomic privacy. Bioinform. 36(6): 1696-1703 (2020) - [j1]Nour Almadhoun, Erman Ayday, Özgür Ulusoy:
Inference attacks against differentially private query results from genomic datasets including dependent tuples. Bioinform. 36(Supplement-1): i136-i145 (2020)
2010 – 2019
- 2015
- [c1]Mohammed Alser, Nour Almadhoun, Azita Nouri, Can Alkan, Erman Ayday:
Can you Really Anonymize the Donors of Genomic Data in Today's Digital World? DPM/QASA@ESORICS 2015: 237-244
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