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Recent Publications

  1. 03 October 2021: Our paper “Non-uniform Compressive Sensing via Ohmic Voltage Attenuation: A Memristive Crossbar Design Approach Leveraging Intrinsic Computation,” accepted to IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD).
  2. 30 September 2021: Our paper “The Impact on Learning using Three-Attempt Tests in an Engineering Undergraduate Core Course: Dynamics,” accepted to 2022 American Society for Engineering Education Southeastern Conference.
  3. 30 September 2021: Our paper “Longitudinal Learning Outcomes from Engineering-Specific Adaptions of Hybrid Online Undergraduate Instruction,” accepted to International Journal of Emerging Technologies in Learning (iJET).
  4. 30 September 2021: Our paper “High Accuracy DBN-Fuzzy Neural Networks using MRAM-based Stochastic Neurons,” accepted to the IEEE Journal of Exploratory Solid-State Computational Devices and Circuits (IEEE JxCDC). Selected to Special Topic on Emerging Hardware for Cognitive Computing.
  5. 16 September 2021: Our paper “Embedded STT-MRAM Energy Analysis for Intermittent Applications using Mean Standby Duration,” accepted to IEEE International Conference on Electronics Circuits and Systems (ICECS-2021).
  6. 13 April 2021: Our paper “Process Variation Sensitivity of Spin Orbit Torque Perpendicular Nanomagnets in DBNs,” accepted to IEEE Transactions on Magnetics (TMAG).
  7. 29 March 2021: Our paper “A Reconfigurable and Compact Spin-based Analog Block for Generalizable nth Power and Root Computation,” accepted to IEEE Computer Society Annual Symposium on VLSI (ISVLSI-2021).
  8. 16 February 2021: Our paper “Authenticated Testing during Blended Delivery: Impacts on Assessment Scores within an Engineering Undergraduate Core Course,” accepted to American Society for Engineering Education (ASEE-SE-2021).
  9. 16 February 2021: Our paper with lab alum Dr. Salehi now at UCD titled “Adaptive Non-Uniform Compressive Sensing using SOT-MRAM Multi-bit Precision Crossbar Arrays,” accepted to IEEE Transactions on Nanotechnology (TNANO).
  10. 03 July 2020: Our paper “Electrically-Tunable Stochasticity for Spin-Based Neuromorphic Circuits: Self-Adjusting to Variation,” accepted to IEEE 63rd International Midwest Symposium on Circuits and Systems (MWSCAS).
  11. 27 February 2020: Our paper “Behavioral Simulation Educational Framework for 2-Terminal MTJ-based Analog to Digital Converter,” accepted to IEEE Integrated STEM Education Conference (ISEC-2020).
  12. 22 February 2020: Our paper “Short-Term Long-Term Compute-In-Memory Architecture: A Hybrid Spin/CMOS Approach Supporting Intrinsic Consolidation,” accepted to the IEEE Journal of Exploratory Solid-State Computational Devices and Circuits (IEEE JxCDC). Selected to Special Issue on Exploratory Devices and Circuits for Compute-in-Memory.
  13. 01 February 2020: Our paper “Modular Simulation Framework for Process Variation Analysis of MRAM-based Deep Belief Networks,” accepted to IEEE SoutheastCon 2020 (SECon-2020).
  14. 04 January 2020: Our paper “Data Mining of Assessments to Generate Learner Remediation Teams: Method, Efficacy, and Perceptions in an Undergraduate Engineering Pilot Offering,” accepted to Journal of Educational Technology Systems.
  15. 21 December 2019: Our paper “Probabilistic Interpolation Recoder for Energy-Error-Product Efficient DBNs with p-bit Devices,” accepted to IEEE Transactions on Emerging Topics in Computing.
  16. 12 December 2019: Our submission to “Imparting Future Workforce Skills using Virtualized Active Learning: A Case Study in an Engineering Core Course” accepted for presentation at the Florida Online Innovation Summit (FOIS-2020).
  17. 25 November 2019: Our poster “Spin-based Analog to Digital Converter Interactive Simulation Interface” to appear in Proceedings of IEEE International Conference on Reconfigurable Computing and FPGAs (ReConfig’19).
  18. 23 November 2019: Our paper with Professor Appenzeller’s lab “A novel compound synapse using probabilistic spin-orbit-torque switching for MTJ based deep neural networks,” accepted to IEEE Journal of Exploratory Solid-State Computational Devices and Circuits as part of its Special Issue on Spin-Orbit Coupling Effects for Advanced Logic and Memory.
  19. 17 October 2019: Our paper “ApGAN: Approximate GAN for Robust Low Energy Learning from Imprecise Components,” accepted to IEEE Transactions on Computers.
  20. 16 October 2019: Our Pre-Conference Workshop “Virtualized Active Learning in STEM,” conducted at IEEE Frontiers in Education conference.
  21. 30 September 2019: Our paper “Mixed-Signal Spin/Charge Reconfigurable Array for Energy-Aware Compressive Signal Processing,” accepted to IEEE International Conference on Reconfigurable Computing and FPGAs (ReConFig 2019).
  22. 05 August 2019: Our paper “PARC: A novel design methodology for power analysis resilient circuits using spintronics,” accepted to IEEE Transactions on Nanotechnology – Letters (ENANO).
  23. 24 July 2019: Our paper “MRAM-Enhanced Low Power Reconfigurable Fabric with Multi-Level Variation Tolerance,” accepted to IEEE Transactions on Circuits and Systems I (TCAS-I).
  24. 12 July 2019: Our paper “Virtualized Active Learning for Undergraduate Engineering Disciplines (VALUED): A Pilot in a Large Enrollment STEM Classroom,” accepted to IEEE Frontiers in Education conference (FIE-2019).
  25. 12 July 2019: Our “Workshop on Virtualized Active Learning in STEM,” approved as a 4-hour Pre-Conference Workshop at IEEE Frontiers in Education conference (FIE-2019).
  26. 10 July 2019: Editorial and issue of IEEE Transactions on Computers “Special Section on Emerging Non-Volatile Memory Technologies: From Devices to Architectures and Systems,” published in IEEExplore August 2019 issue of IEEE Transactions on Computers.
  27. 01 June 2019: Our paper “Implementing Student-Created Video in Engineering: An Active Learning Approach for Exam Preparedness,” accepted to International Journal of Engineering Pedagogy (iJEP).
  28. 15 May 2019: Our paper “Leveraging Stochasticity for In-Situ Learning in Binarized Deep Neural Networks,” is Featured Article on the Front Cover of IEEE Computer magazine.
  29. 10 May 2019: Our paper “A High-Speed Ultra-Low-Power Subthreshold Spintronic Stochastic Spiking Neuron,” accepted to IEEE Midwest Symposium on Circuits and Systems (MWSCAS).
  30. 10 May 2019: Our poster “AQuRate: MRAM-based Stochastic Oscillator for Adaptive Quantization Rate Sampling of Spectrally Sparse Signals,” received Best Poster Award of the conference at the 28th ACM Great Lakes Symposium on VLSI (GLSVLSI).
  31. 01 May 2019: Our paper with Dr. Yu Bai “S-LIM XNN: A Energy Efficient Spintronic-Logic-in-Memory Based XNOR Neural Network Accelerator,” accepted to IEEE Transactions on Emerging Topics in Computing.
  32. 23 April 2019: Our paper “IRC: Cross-layer design exploration of Intermittent Robust Computation units for IoTs,” accepted to IEEE Computer Society Annual Symposium on VLSI.
  33. 03 April 2019: Our paper with Dr. Yu Bai “Energy Efficient Mobile Service Computing through Differential Spin-C-element: A Logic-in-Memory Asynchronous Computing Paradigm,” accepted to IEEE Access Special Issue on Mobile Service Computing with Internet of Things.
  34. 11 March 2019: Our paper “Leveraging Stochasticity for In-Situ Learning in Binarized Deep Neural Networks,” accepted to Computer (a.k.a. IEEE Computer Magazine) selected to Special Issue on Cognitive Computing Systems and Applications.
  35. 07 March 2019: Our paper “Subthreshold Spintronic Stochastic Spiking Neural Networks with Probabilistic Hebbian Plasticity and Homeostasis,” accepted to IEEE Journal of Exploratory Solid-State Computational Devices and Circuits (IEEE JxCDC).
    Selected to its Special Issue on Non-Volatile Memory for Efficient Implementation of Neural/Neuromorphic Computing.
  36. 27 February 2020: Our paper “Behavioral Simulation Educational Framework for 2-Terminal MTJ-based Analog to Digital Converter,” accepted to IEEE Integrated STEM Education Conference (ISEC-2020).
  37. 22 February 2020: Our paper “Short-Term Long-Term Compute-In-Memory Architecture: A Hybrid Spin/CMOS Approach Supporting Intrinsic Consolidation,” accepted to the IEEE Journal of Exploratory Solid-State Computational Devices and Circuits (IEEE JxCDC). Selected to Special Issue on Exploratory Devices and Circuits for Compute-in-Memory..
  38. 01 February 2020: Our paper “Modular Simulation Framework for Process Variation Analysis of MRAM-based Deep Belief Networks,” accepted to IEEE SoutheastCon 2020 (SECon-2020).
  39. 04 January 2020: Our paper “Data Mining of Assessments to Generate Learner Remediation Teams: Method, Efficacy, and Perceptions in an Undergraduate Engineering Pilot Offering,” accepted to Journal of Educational Technology Systems.
  40. 21 December 2019: Our paper “Probabilistic Interpolation Recoder for Energy-Error-Product Efficient DBNs with p-bit Devices,” accepted to IEEE Transactions on Emerging Topics in Computing.
  41. 12 December 2019: Our submission to “Imparting Future Workforce Skills using Virtualized Active Learning: A Case Study in an Engineering Core Course” accepted for presentation at the Florida Online Innovation Summit (FOIS-2020).
  42. 25 November 2019: Our poster “Spin-based Analog to Digital Converter Interactive Simulation Interface” to appear in Proceedings of IEEE International Conference on Reconfigurable Computing and FPGAs (ReConfig’19).
  43. 23 November 2019: Our paper with Professor Appenzeller’s lab “A novel compound synapse using probabilistic spin-orbit-torque switching for MTJ based deep neural networks,” accepted to IEEE Journal of Exploratory Solid-State Computational Devices and Circuits as part of its Special Issue on Spin-Orbit Coupling Effects for Advanced Logic and Memory.
  44. 17 October 2019: Our paper “ApGAN: Approximate GAN for Robust Low Energy Learning from Imprecise Components,” accepted to IEEE Transactions on Computers.
  45. 16 October 2019: Our Pre-Conference Workshop “Virtualized Active Learning in STEM,” conducted at IEEE Frontiers in Education conference.