Research

My area of expertise are: Compressive Sensing, Convex Optimization, Statistical Signal Processing, Linear Algebra, Bayesian Neural Network and Information Theory. I am also increasingly inclining toward Causal Inference, Explainable AI and Interpretable ML.

  1. Publications
  2. PhD Projects
  3. Independent Projects
  4. Undergraduate Projects

Publications:

Book Chapter:

  1. SM. Hasan, K. Mahata, M. M. Hyder, “Multi-user Detection in Uplink Grant-Free NOMA with Dynamic Random Access using Sinusoidal Sequence,” 5G and Beyond, Taylor and Francis, 2021

Journals:

  1. SM. Hasan, K. Mahata, M. M. Hyder, “Fast Multi-user Detection using Deep Neural Network with Knowledge Distillation,” IEEE Access, 2021
  2. SM. Hasan, K. Mahata, M. M. Hyder, “Hierarchical Multi-User Detection for Highly Overloaded Uplink Grant-Free NOMA,” IEEE Wireless Communication Letters, 2021
  3. SM. Hasan, K. Mahata, M. M. Hyder, “Uplink Grant-Free NOMA with Sinusoidal Spreading Sequences,” IEEE Transactions on Communications, 2020
  4. K. Mahata, M. M. Hyder, SM. Hasan, “A New Pulse Transmission Scheme for Target Detection in Bistatic FDA Radar,” Digital Signal Processing, Elsevier, 2020
  5. SM. Hasan, K. Mahata, M. M. Hyder, “Joint Uplink SCMA Codebook Design in Correlated Fading Channels,” Physical Communication, Elsevier, 2020

Conference Proceedings:

  1. SM. Hasan, K. Mahata, M. M. Hyder, “Sparse Code Multiple Access Codebook Design using Equiangular Tight Frame,” IEEE International Conference on Communication (ICC), 2020, Dublin, Ireland
  2. SM. Hasan, M. A. Hayat, M. F. Hossain, “On Downlink SINR and Outage Probability of Stochastic Geometry Based LTE Cellular Networks with Multi-Class Services,” 18th International Conference on Computer and Information Technology (ICCIT) 2015, Dhaka
  3. SM. Hasan, et.al., “Robust Microphone Array System Using Adaptive Beamforming,” 18th International Conference on Computer and Information Technology (ICCIT) 2015, Dhaka

Independent Projects:

  1. Fast Batching for Stochastic Gradient Descent (SGD) for Deep Neural Network with Memory-mapped Numpy arrays and PyTorch [github]
  2. TMDB-5000 revenue prediction using CatBoost [github]
  3. Family of Sparse Recovery Algorithms in Python and MATLAB [github]
  4. Grid/Cluster computing with Portable Batch System (PBS) in Unix based systems [github]

PhD Projects:

Affiliations: The University of Newcastle / Australian Research Council

  1. Fast inference for uplink grant-free NOMA systems with Deep Neural Network and Knowledge Distillations (completed)
  2. Massive overloading in uplink grant-free NOMA systems using Hierarchical Sequence Detection (completed)
  3. Multi-user detection in uplink grant-free NOMA systems for Dynamic Random Access with Sparse Covariance Estimation (SPICE) (completed)
  4. Uplink Grant-Free NOMA with Sinusoidal Sequence (completed)
  5. Sparse Code Multiple Access Codebook Design using Equiangular Tight Frame (completed)
  6. Joint Uplink SCMA Codebook Design for Correlated Fading Channels (completed)
  7. Parameter Estimation in BiStatic Frequency Division Array (FDA) Radar (completed)

Undergraduate Projects:

Affiliations: Bangladesh University of Engineering and Technology

  1. Stochastic geometric modelling of 4G LTE-A networks [Dissertaion][Certificate]
  2. Developing robust adaptive beamforming using Microphone Array for Cadence Xtensa Design Contest [Certificate][Statement][News Report][Xtensa Design Contest 2015][Problem Statement][github]
  3. CycleSafe, a bluetooth controlled SIM900 aided lock for bicycles at Make-a-Thon Bangladesh 2014 [News Report]
  4. Pattern recognition with limited data points using quadratic segmentation
  5. Simple shooting game design using Altera ByteBlaster FPGA board