Publications in 2020

Journal Articles

  1. H. Park, J. Kim, V. Chekuri, M. Dolatsara, M. Nabeel, A. Bojesomo, S. Patnaik, O. Sinanoglu, M. Swaminathan, S. Mukhopadhyay, J. Knechtel, and S. Lim “Design Flow for Active Interposer-Based 2.5-D ICs and Study of RISC-V Architecture With Secure NoC,” IEEE Transactions on Component, Packaging, and Manufacturing Technology (TCPMT), vol. 10, no. 12, Dec. 2020, pp. 2047-2060.
  2. M. Lee, M. Mukherjee, E. Lee, P. Saha, M. Amir, T. Na, and S. Mukhopadhyay, “Cross-Layer Noise Analysis in Smart Digital Pixel Sensors with Integrated Deep Neural Network,” IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS), vol. 10, no. 4, Dec. 2020, pp. 444-457.
  3. M. Mukherjee, Y. Long, J. Woo, D. Kim, N. M. Rahman, S. Dash, and S. Mukhopadhyay, “A Flexible Precision Multi-Format In-Memory Vector Matrix Multiplication Engine in 65nm CMOS with RF Machine Learning Support,” IEEE Solid State Circuits Letter (SSCL), vol. 3, 2020, pp. 450-453.
  4. J. Kim, X. She, N. M. Rahman, V. Chekuri, and S. Mukhopadhyay, “Processing-In-Memory based On-chip Learning with Spike-Time-Dependent-Plasticity in 65nm CMOS,” IEEE Solid State Circuits Letter (SSCL), vol. 3, 2020, pp. 278-281.
  5. V. Chekuri, M. Kar, A. Singh, A. K. Davis, M. L. F. Bellaredj, M. Swaminathan, and S. Mukhopadhyay, “An Inductive Voltage Regulator with Overdrive Tracking across Input Voltage in Cascoded Power Stage,” IEEE Transactions on Circuits and Systems – II: Express Briefs, vol. 27, no. 8, December 2020, 3083 – 3087.
  6. J. Kim, G. Murali, H. Park, E. Qin, H. Kwon, V. Chekuri, N. M. Rahman, N. Dasari, A. Singh, M. Lee, H. M. Torun, K. Roy, M. Swaminathan, S. Mukhopadhyay, T. Krishna, and S. K. Lim, “Architecture, Chip, and Package Co-design Flow for Interposer-based 2.5D Chiplet Integration Enabling Heterogeneous IP Reuse,” IEEE Transactions on VLSI Systems (TVLSI), vol. 28, no 11, November 2020, pp. 2424-2437.
  7. K. Samal, M. Wolf, and S. Mukhopadhyay, “Attention-based Activation Pruning to Reduce Data Movement in Real-time AI: A Case-study on Local Motion Planning in Autonomous Vehicles,” IEEE Journal of Emerging Technology in Circuits and Systems (JETCAS), vol. 10, no. 3, September 2020, pp. 306-319.
  8. A. Chaudhuri, S. Banerjee, H. Park, J. Kim, G. Murali, E. Lee, D. Kim, S. K. Lim, S. Mukhopadhyay, and K. Chakrabarty, “Advances in Design and Test of Monolithic 3D ICs,” IEEE Design Test, 2020, vol. 37, no. 4, August 2020, pp. 92-100.
  9. A. Shylendra, P. Shukla, S. Mukhopadhyay, S. Bhunia, and A. R. Trivedi, “Low Power Unsupervised Anomaly Detection by Non-Parametric Modeling of Sensor Statistics,” IEEE Transactions on VLSI Systems (TVLSI), vol. 28, no. 8, August 2020, pp. 1833-1843.
  10. P. Saha and S. Mukhopadhyay, “Multispectral Information Fusion with Reinforcement Learning for Object Tracking in IoT Edge Devices,” IEEE Sensors Journal, vol. 20, no. 8, April 2020, pp. 4333 – 4344.
  11. A. Singh, M. Kar, V. Chekuri, S. Matthew, A. Rajan, V. De, and S. Mukhopadhyay, “Enhanced Power & Electromagnetic SCA Resistance of Encryption Engines via a Security-Aware Integrated All-Digital LDO,” IEEE Journal of Solid State Circuits (JSSC), vol. 55, no. 2 , Feb. 2020, pp. 478 – 493.
  12. A. Singh, M. Kar, V. Chekuri, S. Matthew, A. Rajan, V. De, and S. Mukhopadhyay, “A Digital Low-Dropout Regulator with Auto-Tuned PID Compensator and Dynamic Gain Control for Improved Transient Performance under Process Variations and Aging,” IEEE Transactions on Power Electronics (TPEL), vol. 35, no. 3, March 2020, pp. 3242 – 3253.
  13. B. Asgari, S. Mukhopadhyay, and S. Yalamanchili, “MAHASIM: Machine-Learning Hardware Acceleration Using a Software-Defined Intelligent Memory System,” Journal Sign Process System, Feb. 2020. https://doi.org/10.1007/s11265-019-01505-1
  14. Y. Long, D. Kim, E. Lee, P. Saha, B. A. Mudassar, X. She, A. I. Khan, and S. Mukhopadhyay, “A Ferroelectric FET based Processing-in-Memory Architecture for DNN Acceleration,” IEEE Journal on Exploratory Devices and Circuits (JXDC), vol. 5, no. 2, December 2019, pp. 113 – 122.

Conference Publications

  1. M. Mukherjee, B. A. Mudassar, M. Lee and S. Mukhopadhyay, “Algorithm-Circuit Cross-layer Control for Digital Pixel Image Sensors,” IEEE Sensors 2020. Best Student Paper Award, Third Place.
  2. B. A. Mudassar, P. Saha and S. Mukhopadhyay, “Uncertainty Characterization in Active Sensor Systems with DNN-based Feedback Control,” IEEE Sensors 2020.
  3. S. Dash and S. Mukhopadhyay, “Hessian-Driven Unequal Parameter Protection for Robust DNN Inference,” IEEE/ACM International Conference on Computer Aided Design (ICCAD), Nov 2020.
  4. J. Kim, V. Chekuri, N. M. Rahman, M. A. Dolatsara, H. Torun, M. Swaminathan, S. Mukhopadhyay, and S. Lim, “Silicon vs. Organic Interposer: PPA and Reliability Tradeoffs in Heterogeneous 2.5D Chiplet Integration,” IEEE International Conference on Computer Design (ICCD), October 2020. Best Paper Award
  5. H. Kumar, N. Chawla, and S. Mukhopadhyay, “BiasP: A DVFS based Exploit to Undermine Resource Allocation Fairness in Linux Platforms,” IEEE/ACM International Symposium on Low-Power Electronic Design (ISLPED), August 2020.
  6. K. Samal, M. Wolf, and S. Mukhopadhyay, “Hybridization of Data and Model based Object Detection for Tracking in Flash Lidars,” IEEE International Joint Conference on Neural Network (IJCNN), July 2020
  7. Y. Long, E. Lee, D. Kim, and S. Mukhopadhyay, “Flex-PIM: A Ferroelectric FET based Vector Matrix Multiplication Engine with Dynamical Bitwidth and Floating Point Precision,” IEEE International Joint Conference on Neural Network(IJCNN), July 2020
  8. X. She, P. Saha, D. Kim, Y. Long, and S. Mukhopadhyay, “SAFE-DNN: A Deep Neural Network With Spike Assisted Feature Extraction For Noise Robust Inference,” IEEE International Joint Conference on Neural Network (IJCNN), July 2020
  9. Y. Long, E. Lee, D. Kim and S. Mukhopadhyay, “Q-PIM: A Genetic Algorithm based Flexible DNN Quantization Method and Application to Processing-In-Memory Platform,” IEEE/ACM Design Automation Conference (DAC), July 2020.
  10. M. Lee, B. A. Mudassar, T. Na and S. Mukhopadhyay, “WarningNet: A Deep Learning Platform for Early Warning of Task Failures under Input Perturbation for Reliable Autonomous Platforms,” IEEE/ACM Design Automation Conference (DAC), July 2020.
  11. P. Saha, A. Ali, B. A. Mudassar, Y. Long and S. Mukhopadhyay, “MagNet: Discovering Multi-agent Interaction Dynamics using Neural Network,” IEEE International Conference on Robotics and Automation (ICRA), May 2020.
  12. (Invited) V. Chekuri, A. Singh, N. M. Rahman, E. Lee, and S. Mukhopadhyay, “Aging Challenges in On-chip Voltage Regulator Design,” International Reliability Physics Symposium (IRPS), April 2020
  13. M. Lee, N. M. Rahman, V. Chekuri, and S. Mukhopadhyay, “An Authentication IC with Visible Light Based Interrogation in 65nm CMOS,” IEEE Custom Integrated Circuit Conference (CICC), March 2020.
  14. N. M. Rahman, E. Lee, V. Chekuri, A. Singh, and S. Mukhopadhyay, “A Configurable Dual-Mode PRINCE Cipher with Security Aware Pipelining in 65nm for High Throughput Applications,” IEEE Custom Integrated Circuit Conference(CICC), March 2020.
  15. V. Chekuri, N. M. Rahman, E. Lee, A. Singh, and S. Mukhopadhyay, “A Fully Synthesized Integrated Buck Regulator with Auto-generated GDS-II in 65nm CMOS Process,” IEEE Custom Integrated Circuit Conference (CICC), March 2020.
  16. M. Lee, M. Mukherjee, P. Saha, M. F. Amir, T. Na, and S. Mukhopadhyay, “Effect of Process Variations in Digital Pixel Circuits on the Accuracy of DNN based Smart Sensor,” IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS), March 2020.
  17. B. A. Mudassar, P. Saha, E. Gebhardt, D. Samal, T. Na, J. H. Ko, M. Wolf, and S. Mukhopadhyay, “A Camera with Brain: 3D-stacked Sensors with Embedded Machine Learning Based Feedback Control,” GOMACTECH, March 2020.
  18. V. Chekuri, N. M. Rahman, N. Dasari, E. Lee, A. Singh, and S. Mukhopadhyay, “Automatic GDSII Generator for On-Chip Voltage Regulator for Easy Integration in Digital SoCs,” GOMACTECH, March 2020.
  19. J. Kim, H. Park, E. Lee, D. Kim, A. Chaudhuriy, S. Banerjee, M. Nelson, S. Mukhopadhyay, K. Chakrabarty, and S. K. Lim, “RTL-to-GDS Design Tools for Monolithic 3D ICs Built with Carbon Nanotube Transistors and Resistive Memory,” GOMACTECH, March 2020.