Smart-TV Based Integrated E-health Monitoring System with Agent Technology. - Golam Sorwar; Raqibul Hasan (AINA Workshops, 2012)

Routing bandwidth model for feed forward neural networks on multicore neuromorphic architectures. - Raqibul Hasan; Tarek M. Taha (IJCNN, 2013)

Exploring the design space of specialized multicore neural processors. - Tarek M. Taha; Raqibul Hasan; Chris Yakopcic; Mark R. McLean (IJCNN, 2013)

Enabling back propagation training of memristor crossbar neuromorphic processors. - Raqibul Hasan; Tarek M. Taha (IJCNN, 2014)

Efficacy of memristive crossbars for neuromorphic processors. - Chris Yakopcic; Raqibul Hasan; Tarek M. Taha; Mark R. McLean; Doug Palmer (IJCNN, 2014)

Memristor Crossbar Based Programmable Interconnects. - Raqibul Hasan; Tarek M. Taha (ISVLSI, 2014)

Memristor crossbar based multicore neuromorphic processors. - Tarek M. Taha; Raqibul Hasan; Chris Yakopcic (SoCC, 2014)

Low Power Neuromorphic Architectures to Enable Pervasive Deployment of Intrusion Detection Systems. - Tarek M. Taha; Raqibul Hasan; Chris Yakopcic; Mark R. McLean (Cybersecurity Systems for Human Cognition Augmentation, 2014)

Memristor based neuromorphic circuit for ex-situ training of multi-layer neural network algorithms. - Chris Yakopcic; Raqibul Hasan; Tarek M. Taha (IJCNN, 2015)

Ex-situ training of dense memristor crossbar for neuromorphic applications. - Raqibul Hasan; Chris Yakopcic; Tarek M. Taha (NANOARCH, 2015)

Hybrid crossbar architecture for a memristor based cache. - Chris Yakopcic; Raqibul Hasan; Tarek M. Taha (Microelectron. J., 2015)

High throughput neural network based embedded streaming multicore processors. - Raqibul Hasan; Tarek M. Taha; Chris Yakopcic; David J. Mountain (ICRC, 2016)

Neuromemristive Systems: Boosting Efficiency through Brain-Inspired Computing. - Cory E. Merkel; Raqibul Hasan; Nicholas Soures; Dhireesha Kudithipudi; Tarek M. Taha; Sapan Agarwal; Matthew J. Marinella (Computer, 2016)

A Reconfigurable Low Power High Throughput Streaming Architecture for Big Data Processing. - Raqibul Hasan; Tarek M. Taha; Md. Zahangir Alom (CoRR, 2016)

Cognitive Domain Ontologies in lookup tables stored in a memristor string matching architecture. - Nayim Rahman; Chris Yakopcic; Tanvir Atahary; Raqibul Hasan; Tarek M. Taha; Scott Douglass (CCECE, 2017)

Socrates-D: Multicore Architecture for On-Line Learning. - Yangjie Qi; Raqibul Hasan; Rasitha Fernando; Tarek M. Taha (ICRC, 2017)

On-chip training of memristor based deep neural networks. - Raqibul Hasan; Tarek M. Taha; Chris Yakopcic (IJCNN, 2017)

Memristor crossbar based winner take all circuit design for self-organization. - Raqibul Hasan; Tarek M. Taha (NCS, 2017)

On-chip training of memristor crossbar based multi-layer neural networks. - Raqibul Hasan; Tarek M. Taha; Chris Yakopcic (Microelectron. J., 2017)

Low Power Memristor Crossbar Based Winner Takes All Circuit. - Rasitha Fernando; Raqibul Hasan; Tarek M. Taha (IJCNN, 2018)

Socrates-D 2.0: A Low Power High Throughput Architecture for Deep Network Training. - Yangjie Qi; Raqibul Hasan; Tarek M. Taha (IJCNN, 2018)

Design and characterization of a differential microstrip patch antenna array at 122 GHz. - Raqibul Hasan; Wael A. Ahmad; Jeng-Hau Lu; Dietmar Kissinger; Herman Jalli Ng (RWS, 2018)

Efficient Memristor-Based Architecture for Intrusion Detection and High-Speed Packet Classification. - Venkata Ramesh Bontupalli; Chris Yakopcic; Raqibul Hasan; Tarek M. Taha (ACM J. Emerg. Technol. Comput. Syst., 2018)

Flexible memristor based neuromorphic system for implementing multi-layer neural network algorithms. - Chris Yakopcic; Raqibul Hasan; Tarek M. Taha (Int. J. Parallel Emergent Distributed Syst., 2018)

Real-Time Experimentation of Deep Learning-based RF Signal Classifier on FPGA. - Sohraab Soltani; Yalin E. Sagduyu; Raqibul Hasan; Kemal Davaslioglu; Hongmei Deng 001; Tugba Erpek (DySPAN, 2019)

Memristor Based Autoencoder for Unsupervised Real-Time Network Intrusion and Anomaly Detection. - Md. Shahanur Alam; B. Rasitha Fernando; Yassine Jaoudi; Chris Yakopcic; Raqibul Hasan; Tarek M. Taha; Guru Subramanyam (ICONS, 2019)

Real-Time and Embedded Deep Learning on FPGA for RF Signal Classification. - Sohraab Soltani; Yalin E. Sagduyu; Raqibul Hasan; Kemal Davaslioglu; Hongmei Deng 001; Tugba Erpek (MILCOM, 2019)

Fault Tolerant Platform for Communication and Distance Measurement in Highly Automated Driving. - Rizwan Tariq Syed; Markus Ulbricht 002; Wael A. Ahmad; Herman Jalli Ng; Vladica Sark; Raqibul Hasan; Milos Krstic (MECO, 2020)

Clustering and presorting for parallel burrows wheeler-based compression. - Sergey Voronin; Eugene Borovikov; Raqibul Hasan (Int. J. Model. Simul. Sci. Comput., 2021)

Robust Ex-situ Training of Memristor Crossbar-based Neural Network with Limited Precision Weights. - Raqibul Hasan (NANOARCH, 2023)

Optimized neural network models for low power elderly monitoring system in Internet of things. - Raqibul Hasan; Alireza Souri (J. High Speed Networks, 2024)