Publications.

2022

Title: Real-Time Scheduling of Machine Learning Operations on Heterogeneous Neuromorphic SoC [GitHub Code]

Author: A. Das

Conference: 20th ACM-IEEE International Conference on Formal Methods and Models for System Design (MEMOCODE)

Date: October 13-14, 2022

Title: Built-In Functional Testing of Analog In-Memory Accelerators for Deep Neural Networks

Author: A. Mishra, A. Das and N. Kandasamy

Journal: Electronics, 11, 2592

Date: August, 2022

Title: Learning in Feedback-driven Recurrent Spiking Neural Networks using full-FORCE Training

Author: A. Paul, S. Wagner and A. Das

Conference: IEEE International Joint Conference on Neural Networks (IJCNN)

Date: July 18-23, 2022

Title: Multiscale Voxel Based Decoding For Enhanced Natural Image Reconstruction From Brain Activity

Author: M. Halac, M. Isik, H. Ayaz and A. Das

Conference: IEEE International Joint Conference on Neural Networks (IJCNN)

Date: July 18-23, 2022

Title: CARLsim 6: An Open Source Library for Large-Scale, Biologically Detailed Spiking Neural Network Simulation

Author: L. Niedermeier, K. Chen, J. Xing, A. Das, J. Kopsick, E. Scott, N. Sutton, K. Weber, N. Dutt and J. L. Krichmar

Conference: IEEE International Joint Conference on Neural Networks (IJCNN)

Date: July 18-23, 2022

Title: A Design Methodology for Fault-Tolerant Computing using Astrocyte Neural Networks

Author: M. Isik, A. Paul, M. L. Varshika and A. Das

Conference: 19th ACM International Conference on Computing Frontiers (CF)

Date: May 17-19, 2022, Turin, Italy

Title: Design-Technology Co-Optimization for NVM-based Neuromorphic Processing Elements

Author: S. Song, A. Balaji, A. Das and N. Kandasamy

Journal: ACM Transactions on Embedded Computing (TECS)

Date:2022

Title: Nonvolatile Memories in Spiking Neural Network Architectures: Current and Emerging Trends

Author: L. M. Varshika, F. Corradi and A. Das

Journal: Electronics, 11(10), 1610

Date: 2022

Title: Energy-Efficient Respiratory Anomaly Detection in Premature Newborn Infants

Author: A. Paul, M. Tajin, A. Das, W. Mongan and K. Dandekar

Journal: Electronics, 11(5), 682

Date: 2022

Title: On the Mitigation of Read Disturbances In Neuromorphic Inference Hardware

Author: A. Paul, S. Song, T. Titirsha and A. Das

Journal: IEEE Design and Test

Date: 2022

Title: Design of Many-Core Big Little uBrains for Energy-Efficient Embedded Neuromorphic Computing

Author: M. Lakshmi Varshika, A. Balaji, F. Corradi, A. Das, J. Stuijt and F. Catthoor

Conference: Proceedings of the IEEE Design, Automation and Test in Europe Conference (DATE)

Date: March 14-23, 2022, Antwerp, Belgium

2021

Contact.

anup(dot)das(at)drexel(dot)edu skype: anup_lsic (215) 895 2847
  • DISCO Lab,
  • Electrical and Computer Engineering Department,
  • Drexel University
  • 3101 Market Street, Suite 236,
  • Philadelphia, PA 19104, USA