* denotes equal first author contribution
15. A N M Nafiul Islam, Xuezhong Niu, Jiahui Duan, Shubham Kumar, Kai Ni, and Abhronil Sengupta. "Dendritic Computing with Multi-Gate Ferroelectric Field-Effect Transistors". arXiv preprint arXiv:2505.01635 (2025). https://arxiv.org/abs/2505.01635
14. Zhouhang Jiang*, A N M Nafiul Islam*, Zhuangyu Han, Zijian Zhao, Franz Müller, Jiahui Duan, Halid Mulaosmanovic, Stefan Dünkel, Sven Beyer, Sourav Dutta, Vijaykrishnan Narayanan, Thomas Kämpfe, Suma George Cardwell, Frances Chance, Abhronil Sengupta, Kai Ni, "A Bio-inspired Asymmetric Double-Gate Ferroelectric FET for Emulating Astrocyte and Dendrite Dynamics in Neuromorphic Systems". arXiv preprint arXiv:2504.14466 (2025). https://arxiv.org/abs/2504.14466
13. Zijian Zhao, Varun Darshana Parekh, Po-Kai Hsu, Yixin Qin, Yiming Song, A. N. M. Nafiul Islam, Ningyuan Cao et al. "An In-Situ Spatial-Temporal Sequence Detector for Neuromorphic Vision Sensor Empowered by High Density Vertical NAND Storage." arXiv preprint arXiv:2503.23685 (2025). https://arxiv.org/abs/2503.23685
12. Sunbin Deng, Tae Joon Park, Haoming Yu, Arnob Saha, A. N. M. Nafiul Islam, Qi Wang, Abhronil Sengupta, Shriram Ramanathan, "Hydrogenated VO2 Bits for Probabilistic Computing", IEEE Electron Device Letters, pp. 1–1, 2023. doi: 10.1109/led.2023.3303875.
11. A N M Nafiul Islam, Kai Ni, Abhronil Sengupta, “Cross-Layer Optimizations for Ferroelectric Neuromorphic Computing”, IEEE International Midwest Symposium on Circuits and Systems (MWSCAS), 2023. (Invited Special Session Paper) https://doi.org/10.1109/MWSCAS57524.2023.10406022
10. A N M Nafiul Islam*, Kezhou Yang*, Amit K. Shukla, Pravin Khanal, Bowei Zhou, Wei-Gang Wang, Abhronil Sengupta, "Hardware in Loop Learning with Spin Stochastic Neurons", Adv. Intell. Syst., aisy.202300805. https://doi.org/10.1002/aisy.202300805
9. Sunbin Deng, Haoming Yu, Tae Joon Park, A. N. M. Nafiul Islam, Sukriti Manna, Alexandre Pofelski, Qi Wang, Yimei Zhu, Subramanian K. R. S. Sankaranarayanan, Abhronil Sengupta, & Shriram Ramanathan (2023). Selective area doping for Mott neuromorphic electronics. Science Advances, 9(11), eade4838. https://doi.org/10.1126/sciadv.ade4838
8. Han, Z., Islam, A. N. M. N., & Sengupta, A. (2023). Astromorphic Self-Repair of Neuromorphic Hardware Systems. Proceedings of the AAAI Conference on Artificial Intelligence, 37(6), 7821-7829. https://doi.org/10.1609/aaai.v37i6.25947
7. A. N. M. Nafiul Islam, Arnob Saha, Zhouhang Jiang, Kai Ni, and Abhronil Sengupta , "Hybrid stochastic synapses enabled by scaled ferroelectric field-effect transistors", Appl. Phys. Lett. 122, 123701 (2023) https://doi.org/10.1063/5.0132242
6. Mondal, S., Zhang, Z., Islam, A.N.M.N., Andrawis, R., Gamage, S., Aghamiri, N.A., Wang, Q., Zhou, H., Rodolakis, F., Tran, R., Kaur, J., Chen, C., Ong, S.P., Sengupta, A., Abate, Y., Roy, K. and Ramanathan, S. (2022), All-Electric Nonassociative Learning in Nickel Oxide. Adv. Intell. Syst., 4: 2200069. https://doi.org/10.1002/aisy.202200069
Featured in: Advanced Science News
5. Park, T.J., Deng, S., Manna, S., Islam, A.N.M.N. Islam, Yu, H., Yuan, Y., Fong, D.D., Chubykin, A.A., Sengupta, A., Sankaranarayanan, S.K. and Ramanathan, S. (2022), Complex oxides for brain-inspired computing: A review. Adv. Mater., 2203352. https://doi.org/10.1002/adma.202203352.
4. H. Yu, A. N. M. N. Islam, S. Mondal, A. Sengupta and S. Ramanathan, "Switching Dynamics in Vanadium Dioxide-Based Stochastic Thermal Neurons," in IEEE Transactions on Electron Devices, vol. 69, no. 6, pp. 3135-3141, June 2022, doi: 10.1109/TED.2022.3168248.
3. Hai-Tian Zhang*, Tae Joon Park*, A. N. M. Nafiul Islam*, Dat S. J. Tran*, Sukriti Manna*, Qi Wang*, Sandip Mondal, Haoming Yu, Suvo Banik, Shaobo Cheng, Hua Zhou, Sampath Gamage, Sayantan Mahapatra, Yimei Zhu, Yohannes Abate, Nan Jiang, Subramanian K. R. S. Sankaranarayanan, Abhronil Sengupta, Christof Teuscher, Shriram Ramanathan, "Reconfigurable perovskite nickelate electronics for artificial intelligence", Science 375, 533–539 (2022). https://doi.org/10.1126/science.abj7943
Related Perspective Article: https://www.science.org/doi/10.1126/science.abn6196
Featured in: Nature Materials, PSU News Top Stories, IEEE Spectrum
2. Arnob Saha*, A. N. M. Nafiul Islam*, Zijian Zhao, Shan Deng, Kai Ni, and Abhronil Sengupta , "Intrinsic synaptic plasticity of ferroelectric field effect transistors for online learning", Appl. Phys. Lett. 119, 133701 (2021) https://doi.org/10.1063/5.0064860
Chosen as 3DFeM (DOE EFRC) Highlight
1. Mehul Rastogi, Sen Lu, Nafiul Islam and Abhronil Sengupta, "On the Self-Repair Role of Astrocytes in STDP Enabled Unsupervised SNNs". Front. Neurosci. 14:603796. (2021) https://doi.org/10.3389/fnins.2020.603796
3. I. Ahmed and A. N. M. Nafiul Islam, "Finite Element Modeling of Synaptic Plasticity in Mushroom-type Phase Change Memory Devices for Application in Neuromorphic Systems," 2021 2nd International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST), 2021, pp. 582-586, doi: 10.1109/ICREST51555.2021.9331194.
2. S. Zaman, M. A. Abrar, M. M. Hassan and A. N. M. N. Islam, "A Recurrent Neural Network Approach to Image Captioning in Braille for Blind-Deaf People," 2019 IEEE International Conference on Signal Processing, Information, Communication & Systems (SPICSCON), 2019, pp. 49-53, doi: 10.1109/SPICSCON48833.2019.9065144.
1. M. A. Abrar, A. N. M. N. Islam, M. M. Hassan, M. T. Islam, C. Shahnaz and S. A. Fattah, "Deep Lip Reading-A Deep Learning Based Lip-Reading Software for the Hearing Impaired," 2019 IEEE R10 Humanitarian Technology Conference (R10-HTC)(47129), 2019, pp. 40-44, doi: 10.1109/R10-HTC47129.2019.9042439.