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ORCIDRaqibul Hasan
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2020 – today
- 2023
[c22]Raqibul Hasan
:
Robust Ex-situ Training of Memristor Crossbar-based Neural Network with Limited Precision Weights. NANOARCH 2023: 8:1-8:7- 2021
- [j6]Sergey Voronin, Eugene Borovikov, Raqibul Hasan:
Clustering and presorting for parallel burrows wheeler-based compression. Int. J. Model. Simul. Sci. Comput. 12(6): 2150050:1-2150050:14 (2021) - 2020
- [c21]Rizwan Tariq Syed, Markus Ulbricht, Wael A. Ahmad, Herman Jalli Ng, Vladica Sark, Raqibul Hasan, Milos Krstic:
Fault Tolerant Platform for Communication and Distance Measurement in Highly Automated Driving. MECO 2020: 1-3
2010 – 2019
- 2019
- [c20]Sohraab Soltani, Yalin E. Sagduyu, Raqibul Hasan, Kemal Davaslioglu, Hongmei Deng, Tugba Erpek:
Real-Time Experimentation of Deep Learning-based RF Signal Classifier on FPGA. DySPAN 2019: 1-2 - [c19]Md. Shahanur Alam, B. Rasitha Fernando, Yassine Jaoudi, Chris Yakopcic, Raqibul Hasan, Tarek M. Taha, Guru Subramanyam:
Memristor Based Autoencoder for Unsupervised Real-Time Network Intrusion and Anomaly Detection. ICONS 2019: 2:1-2:8 - [c18]Sohraab Soltani, Yalin E. Sagduyu, Raqibul Hasan, Kemal Davaslioglu, Hongmei Deng, Tugba Erpek:
Real-Time and Embedded Deep Learning on FPGA for RF Signal Classification. MILCOM 2019: 1-6 - [i3]Sohraab Soltani, Yalin E. Sagduyu, Raqibul Hasan, Kemal Davaslioglu, Hongmei Deng, Tugba Erpek:
Real-Time and Embedded Deep Learning on FPGA for RF Signal Classification. CoRR abs/1910.05765 (2019) - 2018
- [j5]Venkata Ramesh Bontupalli, Chris Yakopcic, Raqibul Hasan, Tarek M. Taha:
Efficient Memristor-Based Architecture for Intrusion Detection and High-Speed Packet Classification. ACM J. Emerg. Technol. Comput. Syst. 14(4): 41:1-41:27 (2018) - [j4]Chris Yakopcic, Raqibul Hasan, Tarek M. Taha:
Flexible memristor based neuromorphic system for implementing multi-layer neural network algorithms. Int. J. Parallel Emergent Distributed Syst. 33(4): 408-429 (2018) - [c17]Rasitha Fernando, Raqibul Hasan, Tarek M. Taha:
Low Power Memristor Crossbar Based Winner Takes All Circuit. IJCNN 2018: 1-6 - [c16]Yangjie Qi, Raqibul Hasan, Tarek M. Taha:
Socrates-D 2.0: A Low Power High Throughput Architecture for Deep Network Training. IJCNN 2018: 1-8 - [c15]Raqibul Hasan, Wael A. Ahmad, Jeng-Hau Lu, Dietmar Kissinger, Herman Jalli Ng:
Design and characterization of a differential microstrip patch antenna array at 122 GHz. RWS 2018: 28-30 - 2017
- [j3]Raqibul Hasan, Tarek M. Taha, Chris Yakopcic:
On-chip training of memristor crossbar based multi-layer neural networks. Microelectron. J. 66: 31-40 (2017) - [c14]Nayim Rahman, Chris Yakopcic, Tanvir Atahary, Raqibul Hasan, Tarek M. Taha, Scott Douglass:
Cognitive Domain Ontologies in lookup tables stored in a memristor string matching architecture. CCECE 2017: 1-4 - [c13]Yangjie Qi, Raqibul Hasan, Rasitha Fernando, Tarek M. Taha:
Socrates-D: Multicore Architecture for On-Line Learning. ICRC 2017: 1-8 - [c12]Raqibul Hasan, Tarek M. Taha, Chris Yakopcic:
On-chip training of memristor based deep neural networks. IJCNN 2017: 3527-3534 - [c11]Raqibul Hasan, Tarek M. Taha:
Memristor crossbar based winner take all circuit design for self-organization. NCS 2017: 10:1-10:4 - 2016
- [j2]Cory E. Merkel, Raqibul Hasan, Nicholas Soures, Dhireesha Kudithipudi, Tarek M. Taha, Sapan Agarwal, Matthew J. Marinella:
Neuromemristive Systems: Boosting Efficiency through Brain-Inspired Computing. Computer 49(10): 56-64 (2016) - [c10]Raqibul Hasan, Tarek M. Taha, Chris Yakopcic, David J. Mountain:
High throughput neural network based embedded streaming multicore processors. ICRC 2016: 1-8 - [i2]Raqibul Hasan, Tarek M. Taha, Md. Zahangir Alom:
A Reconfigurable Low Power High Throughput Streaming Architecture for Big Data Processing. CoRR abs/1603.07400 (2016) - [i1]Raqibul Hasan, Tarek M. Taha, Chris Yakopcic, David J. Mountain:
High Throughput Neural Network based Embedded Streaming Multicore Processors. CoRR abs/1606.04609 (2016) - 2015
- [j1]Chris Yakopcic, Raqibul Hasan, Tarek M. Taha:
Hybrid crossbar architecture for a memristor based cache. Microelectron. J. 46(11): 1020-1032 (2015) - [c9]Chris Yakopcic, Raqibul Hasan, Tarek M. Taha:
Memristor based neuromorphic circuit for ex-situ training of multi-layer neural network algorithms. IJCNN 2015: 1-7 - [c8]Raqibul Hasan, Chris Yakopcic, Tarek M. Taha:
Ex-situ training of dense memristor crossbar for neuromorphic applications. NANOARCH 2015: 75-81 - 2014
- [c7]Chris Yakopcic, Raqibul Hasan, Tarek M. Taha, Mark R. McLean, Doug Palmer:
Efficacy of memristive crossbars for neuromorphic processors. IJCNN 2014: 15-20 - [c6]Raqibul Hasan, Tarek M. Taha:
Enabling back propagation training of memristor crossbar neuromorphic processors. IJCNN 2014: 21-28 - [c5]Raqibul Hasan, Tarek M. Taha:
Memristor Crossbar Based Programmable Interconnects. ISVLSI 2014: 94-99 - [c4]Tarek M. Taha, Raqibul Hasan, Chris Yakopcic:
Memristor crossbar based multicore neuromorphic processors. SoCC 2014: 383-389 - [p1]Tarek M. Taha, Raqibul Hasan, Chris Yakopcic, Mark R. McLean:
Low Power Neuromorphic Architectures to Enable Pervasive Deployment of Intrusion Detection Systems. Cybersecurity Systems for Human Cognition Augmentation 2014: 151-168 - 2013
- [c3]Raqibul Hasan, Tarek M. Taha:
Routing bandwidth model for feed forward neural networks on multicore neuromorphic architectures. IJCNN 2013: 1-8 - [c2]Tarek M. Taha, Raqibul Hasan, Chris Yakopcic, Mark R. McLean:
Exploring the design space of specialized multicore neural processors. IJCNN 2013: 1-8 - 2012
- [c1]Golam Sorwar, Raqibul Hasan:
Smart-TV Based Integrated E-health Monitoring System with Agent Technology. AINA Workshops 2012: 406-411
Coauthor Index
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