Journals:
[1] S. Biswas, C. O. Ayna and A. C. Gurbuz, "PLFNets: Interpretable Complex-Valued Parameterized Learnable Filters for Computationally Efficient RF Classification," in IEEE Transactions on Radar Systems, vol. 2, pp. 1102-1111, 2024, doi: 10.1109/TRS.2024.3486183.
[2] S. Biswas, A. Manavi Alam and A. C. Gurbuz, "HRSpecNET: A Deep Learning-Based High-Resolution Radar Micro-Doppler Signature Reconstruction for Improved HAR Classification," in IEEE Transactions on Radar Systems, vol. 2, pp. 484-497, 2024, doi: 10.1109/TRS.2024.3396172.
[3] S. Biswas, C. O. Ayna, S. Z. Gurbuz and A. C. Gurbuz, "CV-SincNet: Learning Complex Sinc Filters from Raw Radar Data for Computationally Efficient Human Motion Recognition," in IEEE Transactions on Radar Systems, vol. 1, pp. 493-504, 2023, doi: 10.1109/TRS.2023.3310894.
[4] E. Kurto ̆glu, S. Biswas, A. C. Gurbuz, and S. Z. Gurbuz, “Boosting multi-target recognition performance with multi-input multi-output radar-based angular subspace projection and multi-view deep neural network,” IET Radar, Sonar & Navigation, vol. 17, no. 7, pp. 1115– 1128, 2023.
[5] M. M. Farhad, A. M. Alam, S. Biswas, M. A. S. Rafi, A. C. Gurbuz and M. Kurum, "SDR-Based Dual Polarized L-Band Microwave Radiometer Operating from Small UAS Platforms," in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 17, pp. 9389-9402, 2024, doi: 10.1109/JSTARS.2024.3394054.
[6] S. Biswas, A. A. Mamun, and M. M. Bappy, “Learnable Gaussian-Sinc convolutional filters in CNNs for computationally efficient bearing fault classification in rotary machinery”, Manufacturing Letters (accepted)
[7] B. Hicks, S. Biswas, and A. C. Gurbuz, “Comprehensive RF Modulation Recognition Using Parameterized Learnable Filters: A 66-Class Dataset of Communication and Radar Waveforms”, in IEEE Transactions on Radar Systems. (In progress)
[8] C. O. Ayna, A. M. Alam, S. Biswas, and A. C. Gurbuz, “Covariance Reconstruction for Direction-of-Arrival Estimation with Deep Learning”, in IEEE Transactions on Radar Systems. (In progress)
[9] S. Z. Karim, S. Biswas, and J. E. Ball, "Interpretable 2D CNN for Computationally Efficient Abdominal Organ Classification", in IEEE Transactions on Image Processing. (In progress)
Conferences:
[1] S. Biswas, A. M. Alam and A. C. Gurbuz, "Deep Learning-Based High-Resolution Radar Micro-Doppler Signature Reconstruction for Enhanced Activity Recognition," 2024 IEEE Radar Conference (RadarConf24), Denver, CO, USA, 2024, pp. 1-6, doi: 10.1109/RadarConf2458775.2024.10548969.
[2] S. Biswas and A. C. Gurbuz, "Deep Learning Based High-Resolution Frequency Estimation for Sparse Radar Range Profiles," 2024 IEEE Radar Conference (RadarConf24), Denver, CO, USA, 2024, pp. 1-6, doi: 10.1109/RadarConf2458775.2024.10548421.
[3] S. Biswas, J. E. Ball and A. C. Gurbuz, "Radar-Lidar Fusion for Classification of Traffic Signaling Motion in Automotive Applications," 2023 IEEE International Radar Conference (RADAR), Sydney, Australia, 2023, pp. 1-5, doi: 10.1109/RADAR54928.2023.10371020.
[4] S. Biswas, B. Bartlett, J. E. Ball and A. C. Gurbuz, "Classification of Traffic Signaling Motion in Automotive Applications Using FMCW Radar," 2023 IEEE Radar Conference (RadarConf23), San Antonio, TX, USA, 2023, pp. 1-6, doi: 10.1109/RadarConf2351548.2023.10149728.
[5] S. Biswas, C. O. Ayna, S. Z. Gurbuz and A. C. Gurbuz, "Complex SincNet for More Interpretable Radar Based Activity Recognition," 2023 IEEE Radar Conference (RadarConf23), San Antonio, TX, USA, 2023, pp. 1-6, doi: 10.1109/RadarConf2351548.2023.10149682.
[6] B. Hicks, S. Biswas, A. Dahal, V. Gonzalez and A. C. Gurbuz, "Automatic Waveform Recognition from Complex RF Data with Filter-based Deep Learning," NAECON 2024 - IEEE National Aerospace and Electronics Conference, Dayton, OH, USA, 2024, pp. 168-172, doi: 10.1109/NAECON61878.2024.10670353.
[7] A. Dahal, S. Biswas, S. Z. Gurbuz, A. C. Gurbuz, "Robustness analysis of Wi-Fi-based human activity recognition," Proc. SPIE 13036, Big Data VI: Learning, Analytics, and Applications, 130360J (10 June 2024); https://doi.org/10.1117/12.3014010.
[8] A. M. Alam, C. O. Ayna, S. Biswas, J. T. Rogers, J. E. Ball and A. C. Gurbuz, "Deep Learning-Based Direction-of-Arrival Estimation with Covariance Reconstruction," 2024 IEEE Radar Conference (RadarConf24), Denver, CO, USA, 2024, pp. 1-6, doi: 10.1109/RadarConf2458775.2024.10548988.
[9] B. Debnath, I. A. Ebu, S. Biswas, A. C. Gurbuz and J. E. Ball, "FMCW Radar Range Profile and Micro-Doppler Signature Fusion for Improved Traffic Signaling Motion Classification," 2024 IEEE Radar Conference (RadarConf24), Denver, CO, USA, 2024, pp. 1-6, doi: 10.1109/RadarConf2458775.2024.10548322.
[10] A. Dahal, S. Biswas, S. Z. Gurbuz and A. C. Gurbuz, "Comparison Between Wi-Fi-CSI and Radar-Based HAR," 2024 IEEE Radar Conference (RadarConf24), Denver, CO, USA, 2024, pp. 1-6, doi: 10.1109/RadarConf2458775.2024.10548515.
[11] M. M. Farhad, S. Biswas, A. M. Alam, A. C. Gurbuz and M. Kurum, "SDR Based Agile Radiometer with Onboard RFI Processing on a Small UAS," IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Pasadena, CA, USA, 2023, pp. 4368-4371, doi: 10.1109/IGARSS52108.2023.10282140.
[12] M. M. Farhad, S. Biswas, M. A. S. Rafi, M. Kurum and A. C. Gurbuz, "Design and Implementation of a Software Defined Radio-Based Radiometer Operating from a Small Unmanned Aircraft Systems," 2022 IEEE USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), Denver, CO, USA, 2022, pp. 17-18, doi: 10.23919/USNC-URSI52669.2022.9887529.
[13] B. Debnath, S. Biswas and M. F. Uddin, "Optimization of Electric Vehicle Charging to Shave Peak Load for Integration in Smart Grid," 2020 IEEE Region 10 Symposium (TENSYMP), Dhaka, Bangladesh, 2020, pp. 483-488, doi: 10.1109/TENSYMP50017.2020.9231029.
[14] S. Hossain, B. Debnath, S. Biswas, M. J. Al-Hossain, A. Anika and S. K. Zaman Navid, "Estimation of Blood Glucose from PPG Signal Using Convolutional Neural Network," 2019 IEEE International Conference on Biomedical Engineering, Computer and Information Technology for Health (BECITHCON), Dhaka, Bangladesh, 2019, pp. 53-58, doi: 10.1109/BECITHCON48839.2019.9063187.
[15] S. Hossain, B. Debnath, A. Anika, M. Junaed-Al-Hossain, S. Biswas and C. Shahnaz, "Autonomous Trash Collector Based on Object Detection Using Deep Neural Network," TENCON 2019 - 2019 IEEE Region 10 Conference (TENCON), Kochi, India, 2019, pp. 1406-1410, doi: 10.1109/TENCON.2019.8929270.
[16] S. Z. Karim, S. Biswas, and J.E. Ball “Learnable 2D Gaussian Filters for Computationally Efficient Abdominal Organ Classification”, SPIE. Real-time image processing and deep learning, Orlando, Florida, USA, 2025 (accepted)
[17] B. Hicks, S. Biswas, and A. C. Gurbuz, "Learnable Gaussian Filter-based Automatic RF Waveform Modulation Recognition”, 2025 IEEE Radar Conference (RadarConf25), Atlanta, GA, USA, 2025 (accepted)
[18] K. Nucum, S. Biswas, and J. E. Ball, “Micro-Doppler models of drones, birds, and bird-like drones” SPIE Defense + Commercial Sensing Conference 2025 (Accepted)