Recent Publications
- 26 Jan 2023: Our paper titled “Image Quantization Tradeoffs in a YOLO-based FPGA Accelerator Framework”, has been accepted in IEEE International Symposium on Quality Electronic Design (ISQED).
- 20 Jan 2023: Our paper titled “Energy-/Area-Efficient Spintronic ANN-based Digit Recognition via Progressive Modular Redundancy”, has been accepted in IEEE International Symposium of Circuits and Systems (ISCAS).
- 25 Sep 2022: Our paper titled “Scalable Reasoning and Sensing using Processing-in-Memory with Hybrid Spin/CMOS-based Analog/Digital Blocks,” has been accepted to IEEE Transactions on Emerging Topics in Computing (TETC): Thematic Section on Memory-centric Designs: Processing-in-Memory, In-memory Computing, and Near-memory Computing for Real World Applications.
- 14 Sep 2022: Our book chapter titled “MRAM-Based FPGA: A Survey,” submitted to the book under the working title “Field-Programmable Gate Arrays,” has been accepted for publication at Intechopen.
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24 August 2022: Our paper “Energy-Efficient Recurrent Neural Network with MRAM-based Probabilistic Activation Functions” accepted to IEEE Transactions on Emerging Topics in Computing (TETC).
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19 August 2022: Our paper “Utilization of Data Augmentation Techniques to Enhance Learning with Sparse Datasets” accepted to IEEE Conference on AI for Industry (AI4I).
- 16 July 2022: Our paper “Non-uniform Compressive Sensing via Ohmic Voltage Attenuation: A Memristive Crossbar Design Approach Leveraging Intrinsic Computation,” accepted in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD).
- 20 July 2022: Our paper “Personalizing Digitized Assessments and Remediation using an Automated Micro-Credentialing Framework for Canvas LMS” accepted to OLC Accelerate 2022 Conference on Accelerating Online Learning Worldwide.
- 15 March 2022: Our paper “The Impact on Learning Outcomes using Three-Attempt Tests in an Engineering Undergraduate Core Course: Dynamics,” accepted in Proceedings of American Society for Engineering Education (ASEE-SE-2022)
- 05 March 2022: Our paper “Rehosting YOLOv2 Framework for Reconfigurable Fabric-Based Acceleration,” accepted to IEEE SoutheastCon 2022.
- 17 December 2021: Our paper “Generalized Exponentiation using STT Magnetic Tunnel Junctions: Circuit Design, Performance, and Application to Neural Network Gradient Decay,” accepted to Springer Nature Computer Science.
- 10 December 2021: Our paper “Spin-Orbit Torque Neuromorphic Fabrics for Low-Leakage Reconfigurable In-Memory Computation,” selected to Special Issue on Hardware for AI, Machine Learning, and Emerging Electronic Systems IEEE Transactions on Electron Devices (TED).
- 05 December 2021: Our paper “Algorithm and Hardware Co-Design Co-Optimization Framework for LSTM Accelerator using Fully Decomposed Tensor Train,” accepted to Work-in-Progress paper at ACM/IEEE Design Automation Conference (DAC).
- 01 November 2021: ”Digitally Mediated Team Learning: Foundational Perspectives – Book Shares on Designing Learning for Everyone,” Book Share Session Presentation at Association for Educational Communications and Technology, Chicago, IL, USA, published as hardcover book.
- 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).
- 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.
- 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).
- 30 September 2021: Our paper “High Accuracy DBN-Fuzzy Neural Networks using MRAM-based Stochastic Neurons,” accepted to Special Topic on Emerging Hardware for Cognitive Computing, Special Issue in IEEE Journal of Exploratory Solid-State Computational Devices and Circuits (IEEE JxCDC).
- 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).
- 16 July 2021: Our paper “Long Short-Term Memory with Spin-Based Binary and Non-Binary Neurons,” accepted to IEEE International Midwest Symposium on Circuits and Systems (MWSCAS).
- 07 July 2021: Our paper titled “An Efficient Real-Time Object Detection Framework on Resource-Constricted Hardware Devices via Software and Hardware Co-design,” accepted to IEEE International Conference on Application-specific Systems, Architectures and Processors (IEEE ASAP).
- 20 April 2021: Our paper “An Efficient Video Prediction Recurrent Network using Focal Loss and Decomposed Tensor Train for Imbalance Dataset,” accepted to IEEE Great Lakes Symposium on VLSI (GLSVLSI).
- 13 April 2021: Our paper “Process Variation Sensitivity of Spin Orbit Torque Perpendicular Nanomagnets in DBNs,” accepted to IEEE Transactions on Magnetics (TMAG).
- 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).
- 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).
- 02 February 2021: Our paper “Low-Energy Acceleration of Binarized Convolutional Neural Networks using a Spin Hall Effect based Logic-in-Memory Architecture,” accepted o IEEE Transactions on Emerging Topics in Computing (TETC).
- 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).