Logic in wire: using quantum dots to implement a microprocessor. - Michael T. Niemier; Peter M. Kogge (ICECS, 1999)

A design of and design tools for a novel quantum dot based microprocessor. - Michael T. Niemier; Michael J. Kontz; Peter M. Kogge (DAC, 2000)

Exploring and exploiting wire-level pipelining in emerging technologies. - Michael T. Niemier; Peter M. Kogge (ISCA, 2001)

Petaflop Computing for Protein Folding. - Shannon K. Kuntz; Richard C. Murphy; Michael T. Niemier; Jesús A. Izaguirre; Peter M. Kogge (PP, 2001)

Problems in designing with QCAs: Layout = Timing. - Michael T. Niemier; Peter M. Kogge (Int. J. Circuit Theory Appl., 2001)

Teaching students computer architecture for new, nanotechnologies. - Michael Thaddeus Niemier; Peter M. Kogge (WCAE, 2002)

Quantum-Dot Cellular Automata (QCA) circuit partitioning: problem modeling and solutions. - Dominic A. Antonelli; Danny Z. Chen; Timothy J. Dysart; Xiaobo Sharon Hu; Andrew B. Kahng; Peter M. Kogge; Richard C. Murphy; Michael T. Niemier (DAC, 2004)

Automatic cell placement for quantum-dot cellular automata. - Ramprasad Ravichandran; Nihal Ladiwala; Jean Nguyen; Michael T. Niemier; Sung Kyu Lim (ACM Great Lakes Symposium on VLSI, 2004)

Using Circuits and Systems-Level Research to Drive Nanotechnology. - Michael T. Niemier; Ramprasad Ravichandran; Peter M. Kogge (ICCD, 2004)

The "4-Diamond Circuit" - A Minimally Complex Nano-Scale Computational Building Block in QCA. - Michael T. Niemier; Peter M. Kogge (ISVLSI, 2004)

Eliminating wire crossings for molecular quantum-dot cellular automata implementation. - Amitabh Chaudhary; Danny Z. Chen; Kevin Whitton; Michael T. Niemier; Ramprasad Ravichandran (ICCAD, 2005)

Automatic cell placement for quantum-dot cellular automata. - Ramprasad Ravichandran; Sung Kyu Lim; Michael T. Niemier (Integr., 2005)

Partitioning and placement for buildable QCA circuits. - Sung Kyu Lim; Ramprasad Ravichandran; Michael T. Niemier (ACM J. Emerg. Technol. Comput. Syst., 2005)

Using CAD to shape experiments in molecular QCA. - Michael T. Niemier; Michael Crocker; Xiaobo Sharon Hu; Marya Lieberman (ICCAD, 2006)

PLAs in Quantum-dot Cellular Automata. - Xiaobo Sharon Hu; Michael Crocker; Michael T. Niemier; Minjun Yan; Gary H. Bernstein (ISVLSI, 2006)

Fault Models and Yield Analysis for QCA-based PLAs. - Michael Crocker; Michael T. Niemier; Xiaobo Sharon Hu (FPL, 2007)

Clocking structures and power analysis for nanomagnet-based logic devices. - Michael T. Niemier; M. Alam; Xiaobo Sharon Hu; Gary H. Bernstein; Wolfgang Porod; M. Putney; J. DeAngelis (ISLPED, 2007)

Approximating the Maximum Sharing Problem. - Amitabh Chaudhary; Danny Z. Chen; Rudolf Fleischer; Xiaobo Sharon Hu; Jian Li 015; Michael T. Niemier; Zhiyi Xie; Hong Zhu 004 (WADS, 2007)

Fabricatable Interconnect and Molecular QCA Circuits. - Amitabh Chaudhary; Danny Z. Chen; Xiaobo Sharon Hu; Michael T. Niemier; Ramprasad Ravichandran; Kevin Whitton (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2007)

Design and defect tolerance beyond CMOS. - Xiaobo Sharon Hu; Alexander Khitun; Konstantin K. Likharev; Michael T. Niemier; Mingqiang Bao; Kang L. Wang (CODES+ISSS, 2008)

Fabrication Variations and Defect Tolerance for Nanomagnet-Based QCA. - Michael T. Niemier; Michael Crocker; Xiaobo Sharon Hu (DFT, 2008)

Bridging the gap between nanomagnetic devices and circuits. - Michael T. Niemier; Xiaobo Sharon Hu; Aaron Dingler; M. Tanvir Alam; Gary H. Bernstein; Wolfgang Porod (ICCD, 2008)

Defect tolerance in QCA-based PLAs. - Michael Crocker; Xiaobo Sharon Hu; Michael T. Niemier (NANOARCH, 2008)

Molecular QCA design with chemically reasonable constraints. - Michael Crocker; Michael T. Niemier; Xiaobo Sharon Hu; Marya Lieberman (ACM J. Emerg. Technol. Comput. Syst., 2008)

Controlling Magnetic Circuits: How Clock Structure Implementation will Impact Logical Correctness and Power. - Aaron Dingler; M. Jafar Siddiq; Michael T. Niemier; Xiaobo Sharon Hu; M. Tanvir Alam; Gary H. Bernstein; Wolfgang Porod (DFT, 2009)

System-level energy and performance projections for nanomagnet-based logic. - Aaron Dingler; Michael T. Niemier; Xiaobo Sharon Hu; Michael Garrison; M. Tanvir Alam (NANOARCH, 2009)

Defects and faults in QCA-based PLAs. - Michael Crocker; Xiaobo Sharon Hu; Michael T. Niemier (ACM J. Emerg. Technol. Comput. Syst., 2009)

Design and comparison of NML systolic architectures. - Michael Crocker; Xiaobo Sharon Hu; Michael T. Niemier (NANOARCH, 2010)

Performance and Energy Impact of Locally Controlled NML Circuits. - Aaron Dingler; Michael T. Niemier; Xiaobo Sharon Hu; Evan Lent (ACM J. Emerg. Technol. Comput. Syst., 2011)

Making non-volatile nanomagnet logic non-volatile. - Aaron Dingler; Steve Kurtz; Michael T. Niemier; Xiaobo Sharon Hu; György Csaba; Joseph Nahas; Wolfgang Porod; Gary H. Bernstein; Peng Li; Vjiay Karthik Sankar (DAC, 2012)

Network on metachip architectures. - Ismo Hänninen; Wayne Buckhanan; Michael T. Niemier; Gary H. Bernstein (NoCArc@MICRO, 2012)

A Reconfigurable PLA Architecture for Nanomagnet Logic. - Michael Crocker; Michael T. Niemier; Xiaobo Sharon Hu (ACM J. Emerg. Technol. Comput. Syst., 2012)

GPU acceleration of Data Assembly in Finite Element Methods and its energy implications. - Li Tang 007; Xiaobo Sharon Hu; Danny Z. Chen; Michael T. Niemier; Richard F. Barrett; Simon D. Hammond; Genie Hsieh (ASAP, 2013)

Minimum-energy state guided physical design for nanomagnet logic. - Shiliang Liu; György Csaba; Xiaobo Sharon Hu; Edit Varga; Michael T. Niemier; Gary H. Bernstein; Wolfgang Porod (DAC, 2013)

Systematic design of nanomagnet logic circuits. - Indranil Palit; Xiaobo Sharon Hu; Joseph Nahas; Michael T. Niemier (DATE, 2013)

TFET-based cellular neural network architectures. - Indranil Palit; Xiaobo Sharon Hu; Joseph Nahas; Michael T. Niemier (ISLPED, 2013)

Leveraging Emerging Technology for Hardware Security - Case Study on Silicon Nanowire FETs and Graphene SymFETs. - Yu Bi; Pierre-Emmanuel Gaillardon; Xiaobo Sharon Hu; Michael T. Niemier; Jiann-Shiun Yuan; Yier Jin (ATS, 2014)

Impact of steep-slope transistors on non-von Neumann architectures: CNN case study. - Indranil Palit; Behnam Sedighi; András Horváth; Xiaobo Sharon Hu; Joseph Nahas; Michael T. Niemier (DATE, 2014)

Design of 3D nanomagnetic logic circuits: A full-adder case study. - Robert Perricone; Xiaobo Sharon Hu; Joseph Nahas; Michael T. Niemier (DATE, 2014)

Cellular neural networks for image analysis using steep slope devices. - Indranil Palit; Qiuwen Lou; Michael T. Niemier; Behnam Sedighi; Joseph Nahas; Xiaobo Sharon Hu (ICCAD, 2014)

Boolean circuit design using emerging tunneling devices. - Behnam Sedighi; Joseph J. Nahas; Michael T. Niemier; Xiaobo Sharon Hu (ICCD, 2014)

Architectural impacts of emerging transistors. - András Horváth; Xiaobo Sharon Hu; Joseph Nahas; Michael T. Niemier; Indranil Palit; Robert Perricone; Behnam Sedighi (NEWCAS, 2014)

Understanding the landscape of accelerators for vision. - Nandhini Chandramoorthy; Karthik Swaminathan; Matthew Cotter; Xueqing Li 002; Indranil Palit; Xiaobo Sharon Hu; Michael T. Niemier; Kevin M. Irick (SiPS, 2014)

Nontraditional Computation Using Beyond-CMOS Tunneling Devices. - Behnam Sedighi; Xiaobo Sharon Hu; Joseph J. Nahas; Michael T. Niemier (IEEE J. Emerg. Sel. Topics Circuits Syst., 2014)

Nanomagnet Logic (NML). - Wolfgang Porod; Gary H. Bernstein; György Csaba; Xiaobo Sharon Hu; Joseph Nahas; Michael T. Niemier; Alexei O. Orlov (Field-Coupled Nanocomputing, 2014)

Towards systematic design of 3D pNML layouts. - Robert Perricone; Yining Zhu; Katherine M. Sanders; Xiaobo Sharon Hu; Michael T. Niemier (DATE, 2015)

A CNN-inspired mixed signal processor based on tunnel transistors. - Behnam Sedighi; Indranil Palit; Xiaobo Sharon Hu; Joseph Nahas; Michael T. Niemier (DATE, 2015)

TFET-based Operational Transconductance Amplifier Design for CNN Systems. - Qiuwen Lou; Indranil Palit; András Horváth; Xiaobo Sharon Hu; Michael T. Niemier; Joseph Nahas (ACM Great Lakes Symposium on VLSI, 2015)

Analytically Modeling Power and Performance of a CNN System. - Indranil Palit; Qiuwen Lou; Nicholas Acampora; Joseph Nahas; Michael T. Niemier; Xiaobo Sharon Hu (ICCAD, 2015)

Reliable and high performance STT-MRAM architectures based on controllable-polarity devices. - Kaveh Shamsi; Yu Bi; Yier Jin; Pierre-Emmanuel Gaillardon; Michael T. Niemier; Xiaobo Sharon Hu (ICCD, 2015)

Analog Circuit Design Using Tunnel-FETs. - Behnam Sedighi; Xiaobo Sharon Hu; Huichu Liu; Joseph J. Nahas; Michael T. Niemier (IEEE Trans. Circuits Syst. I Regul. Pap., 2015)

Using emerging technologies for hardware security beyond PUFs. - An Chen; Xiaobo Sharon Hu; Yier Jin; Michael T. Niemier; Xunzhao Yin (DATE, 2016)

Design of latches and flip-flops using emerging tunneling devices. - Xunzhao Yin; Behnam Sedighi; Michael T. Niemier; Xiaobo Sharon Hu (DATE, 2016)

Enhancing Hardware Security with Emerging Transistor Technologies. - Yu Bi; Xiaobo Sharon Hu; Yier Jin; Michael T. Niemier; Kaveh Shamsi; Xunzhao Yin (ACM Great Lakes Symposium on VLSI, 2016)

Exploiting ferroelectric FETs for low-power non-volatile logic-in-memory circuits. - Xunzhao Yin; Ahmedullah Aziz; Joseph Nahas; Suman Datta; Sumeet Kumar Gupta; Michael T. Niemier; Xiaobo Sharon Hu (ICCAD, 2016)

Molecular cellular networks: A non von Neumann architecture for molecular electronics. - Craig S. Lent; Kenneth W. Henderson; S. Alex Kandel; Steven A. Corcelli; Gregory L. Snider; Alexei O. Orlov; Peter M. Kogge; Michael T. Niemier; Ryan C. Brown; John A. Christie; Natalie A. Wasio; Rebecca C. Quardokus; et al. (ICRC, 2016)

Emerging Technology-Based Design of Primitives for Hardware Security. - Yu Bi; Kaveh Shamsi; Jiann-Shiun Yuan; Pierre-Emmanuel Gaillardon; Giovanni De Micheli; Xunzhao Yin; Xiaobo Sharon Hu; Michael T. Niemier; Yier Jin (ACM J. Emerg. Technol. Comput. Syst., 2016)

In Quest of the Next Information Processing Substrate: Extended Abstract: Invited. - Suman Datta; Alan C. Seabaugh; Michael T. Niemier; Arijit Raychowdhury; Darrell Schlom; Debdeep Jena; Huili Grace Xing; H.-S. Philip Wong; Eric Pop; Sayeef S. Salahuddin; Sumeet Kumar Gupta; Supratik Guha (DAC, 2017)

A Pathway to Enable Exponential Scaling for the Beyond-CMOS Era: Invited. - Jianping Wang 006; Sachin S. Sapatnekar; Chris H. Kim; Paul A. Crowell; Steven J. Koester; Supriyo Datta; Kaushik Roy 001; Anand Raghunathan; Xiaobo Sharon Hu; Michael T. Niemier; Azad Naeemi; Chia-Ling Chien; et al. (DAC, 2017)

Cellular neural network friendly convolutional neural networks - CNNs with CNNs. - András Horváth; Michael Hillmer; Qiuwen Lou; Xiaobo Sharon Hu; Michael T. Niemier (DATE, 2017)

Advanced spintronic memory and logic for non-volatile processors. - Robert Perricone; Ibrahim Ahmed 002; Zhaoxin Liang; Meghna G. Mankalale; Xiaobo Sharon Hu; Chris H. Kim; Michael T. Niemier; Sachin S. Sapatnekar; Jianping Wang 006 (DATE, 2017)

Design and benchmarking of ferroelectric FET based TCAM. - Xunzhao Yin; Michael T. Niemier; Xiaobo Sharon Hu (DATE, 2017)

Exploiting Non-Volatility for Information Processing. - Robert Perricone; Li Tang 007; Michael T. Niemier; Xiaobo Sharon Hu (ACM Great Lakes Symposium on VLSI, 2017)

Tunnel FET Current Mode Logic for DPA-Resilient Circuit Designs. - Yu Bi; Kaveh Shamsi; Jiann-Shiun Yuan; Yier Jin; Michael T. Niemier; Xiaobo Sharon Hu (IEEE Trans. Emerg. Top. Comput., 2017)

Biomedical Image Segmentation Using Fully Convolutional Networks on TrueNorth. - Indranil Palit; Lin Yang 003; Yue Ma 001; Danny Z. Chen; Michael T. Niemier; Jinjun Xiong; Xiaobo Sharon Hu (CBMS, 2018)

Computing with ferroelectric FETs: Devices, models, systems, and applications. - Ahmedullah Aziz; Evelyn T. Breyer; An Chen; Xiaoming Chen 003; Suman Datta; Sumeet Kumar Gupta; Michael Hoffmann 008; Xiaobo Sharon Hu; Adrian M. Ionescu; Matthew Jerry; Thomas Mikolajick; Halid Mulaosmanovic; et al. (DATE, 2018)

Design and optimization of FeFET-based crossbars for binary convolution neural networks. - Xiaoming Chen 003; Xunzhao Yin; Michael T. Niemier; Xiaobo Sharon Hu (DATE, 2018)

Nonvolatile Lookup Table Design Based on Ferroelectric Field-Effect Transistors. - Xiaoming Chen 003; Michael T. Niemier; Xiaobo Sharon Hu (ISCAS, 2018)

Computing in memory with FeFETs. - Dayane Alfenas Reis; Michael T. Niemier; Xiaobo Sharon Hu (ISLPED, 2018)

Can beyond-CMOS devices illuminate dark silicon? - Robert Perricone; Xiaobo Sharon Hu; Joseph Nahas; Michael T. Niemier (Commun. ACM, 2018)

Cross-layer efforts for energy-efficient computing: towards peta operations per second per watt. - Xiaobo Sharon Hu; Michael T. Niemier (Frontiers Inf. Technol. Electron. Eng., 2018)

Design of Hardware-Friendly Memory Enhanced Neural Networks. - Ann Franchesca Laguna; Michael T. Niemier; Xiaobo Sharon Hu (DATE, 2019)

An Energy Efficient Non-Volatile Flip-Flop based on CoMET Technology. - Robert Perricone; Zhaoxin Liang; Meghna G. Mankalale; Michael T. Niemier; Sachin S. Sapatnekar; Jianping Wang 006; Xiaobo Sharon Hu (DATE, 2019)

Ferroelectric FET Based In-Memory Computing for Few-Shot Learning. - Ann Franchesca Laguna; Xunzhao Yin; Dayane Alfenas Reis; Michael T. Niemier; Xiaobo Sharon Hu (ACM Great Lakes Symposium on VLSI, 2019)

The Impact of Emerging Technologies on Architectures and System-level Management: Invited Paper. - Jörg Henkel; Hussam Amrouch; Martin Rapp; Sami Salamin; Dayane Reis; Di Gao; Xunzhao Yin; Michael T. Niemier; Cheng Zhuo; Xiaobo Sharon Hu; Hsiang-Yun Cheng; Chia-Lin Yang (ICCAD, 2019)

A Uniform Modeling Methodology for Benchmarking DNN Accelerators. - Indranil Palit; Qiuwen Lou; Robert Perricone; Michael T. Niemier; Xiaobo Sharon Hu (ICCAD, 2019)

Ferroelectric FET Based TCAM Designs for Energy Efficient Computing. - Xunzhao Yin; Dayane Alfenas Reis; Michael T. Niemier; Xiaobo Sharon Hu (ISVLSI, 2019)

Application-level Studies of Cellular Neural Network-based Hardware Accelerators. - Qiuwen Lou; Indranil Palit; Li Tang 007; András Horváth; Michael T. Niemier; Xiaobo Sharon Hu (CoRR, 2019)

Nonvolatile Spintronic Memory Cells for Neural Networks. - Andrew W. Stephan; Qiuwen Lou; Michael T. Niemier; Xiaobo Sharon Hu; Steven J. Koester (CoRR, 2019)

Guest Editors' Introduction: Special Issue on Architecture Advances Enabled by Emerging Technologies. - An Chen; Vivek De; Xiaobo Sharon Hu; Michael T. Niemier (IEEE Des. Test, 2019)

A Survey on Architecture Advances Enabled by Emerging Beyond-CMOS Technologies. - An Chen; Supriyo Datta; Xiaobo Sharon Hu; Michael T. Niemier; Tajana Simunic Rosing; J. Joshua Yang (IEEE Des. Test, 2019)

A Mixed Signal Architecture for Convolutional Neural Networks. - Qiuwen Lou; Chenyun Pan; John McGuinness; András Horváth; Azad Naeemi; Michael T. Niemier; Xiaobo Sharon Hu (ACM J. Emerg. Technol. Comput. Syst., 2019)

Power and Area Efficient FPGA Building Blocks Based on Ferroelectric FETs. - Xiaoming Chen 003; Kai Ni 004; Michael T. Niemier; Yinhe Han 001; Suman Datta; Xiaobo Sharon Hu (IEEE Trans. Circuits Syst. I Regul. Pap., 2019)

An Ultra-Dense 2FeFET TCAM Design Based on a Multi-Domain FeFET Model. - Xunzhao Yin; Kai Ni 004; Dayane Alfenas Reis; Suman Datta; Michael T. Niemier; Xiaobo Sharon Hu (IEEE Trans. Circuits Syst. II Express Briefs, 2019)

Ferroelectric FETs-Based Nonvolatile Logic-in-Memory Circuits. - Xunzhao Yin; Xiaoming Chen 003; Michael T. Niemier; Xiaobo Sharon Hu (IEEE Trans. Very Large Scale Integr. Syst., 2019)

A Device Non-Ideality Resilient Approach for Mapping Neural Networks to Crossbar Arrays. - Arman Kazemi; Cristobal Alessandri; Alan C. Seabaugh; Xiaobo Sharon Hu; Michael T. Niemier; Siddharth Joshi 001 (DAC, 2020)

Emerging Neural Workloads and Their Impact on Hardware. - David Brooks 001; Martin M. Frank; Tayfun Gokmen; Udit Gupta; Xiaobo Sharon Hu; Shubham Jain; Ann Franchesca Laguna; Michael T. Niemier; Ian O'Connor; Anand Raghunathan; Ashish Ranjan 001; Dayane Reis; et al. (DATE, 2020)

A Fast and Energy Efficient Computing-in-Memory Architecture for Few-Shot Learning Applications. - Dayane Reis; Ann Franchesca Laguna; Michael T. Niemier; Xiaobo Sharon Hu (DATE, 2020)

A Novel TIGFET-based DFF Design for Improved Resilience to Power Side-Channel Attacks. - Mohammad Mehdi Sharifi; Ramin Rajaei; Patsy Cadareanu; Pierre-Emmanuel Gaillardon; Yier Jin; Michael T. Niemier; Xiaobo Sharon Hu (DATE, 2020)

AxR-NN: Approximate Computation Reuse for Energy-Efficient Convolutional Neural Networks. - Dongning Ma; Xunzhao Yin; Michael T. Niemier; Xiaobo Sharon Hu; Xun Jiao (ACM Great Lakes Symposium on VLSI, 2020)

Modeling and Benchmarking Computing-in-Memory for Design Space Exploration. - Dayane Reis; Di Gao; Shaahin Angizi; Xunzhao Yin; Deliang Fan; Michael T. Niemier; Cheng Zhuo; Xiaobo Sharon Hu (ACM Great Lakes Symposium on VLSI, 2020)

Seed-and-Vote based In-Memory Accelerator for DNA Read Mapping. - Ann Franchesca Laguna; Hasindu Gamaarachchi; Xunzhao Yin; Michael T. Niemier; Sri Parameswaran; Xiaobo Sharon Hu (ICCAD, 2020)

A Hybrid FeMFET-CMOS Analog Synapse Circuit for Neural Network Training and Inference. - Arman Kazemi; Ramin Rajaei; Kai Ni 004; Suman Datta; Michael T. Niemier; Xiaobo Sharon Hu (ISCAS, 2020)

Dynamic Memory and Sequential Logic Design using Negative Capacitance FinFETs. - Ramin Rajaei; Yen-Kai Lin; Sayeef S. Salahuddin; Michael T. Niemier; Xiaobo Sharon Hu (ISCAS, 2020)

Embedding error correction into crossbars for reliable matrix vector multiplication using emerging devices. - Qiuwen Lou; Tianqi Gao; Patrick Faley; Michael T. Niemier; Xiaobo Sharon Hu; Siddharth Joshi 001 (ISLPED, 2020)

GC-eDRAM design using hybrid FinFET/NC-FinFET. - Ramin Rajaei; Yen-Kai Lin; Sayeef S. Salahuddin; Michael T. Niemier; Xiaobo Sharon Hu (ISLPED, 2020)

FeCAM: A Universal Compact Digital and Analog Content Addressable Memory Using Ferroelectric. - Xunzhao Yin; Chao Li 065; Qingrong Huang; Li Zhang 021; Michael T. Niemier; Xiaobo Sharon Hu; Cheng Zhuo; Kai Ni 004 (CoRR, 2020)

The Impact of Ferroelectric FETs on Digital and Analog Circuits and Architectures. - Xiaoming Chen 003; Kai Ni 004; Michael T. Niemier; Dayane Reis; Xiaoyu Sun 001; Panni Wang; Suman Datta; Xiaobo Sharon Hu; Xunzhao Yin; Matthew Jerry; Shimeng Yu; Ann Franchesca Laguna (IEEE Des. Test, 2020)

Algorithmic Acceleration of B/FV-like Somewhat Homomorphic Encryption for Compute-Enabled RAM. - Jonathan Takeshita; Dayane Reis; Ting Gong; Michael T. Niemier; Xiaobo Sharon Hu; Taeho Jung (IACR Cryptol. ePrint Arch., 2020)

SearcHD: A Memory-Centric Hyperdimensional Computing With Stochastic Training. - Mohsen Imani; Xunzhao Yin; John Messerly; Saransh Gupta; Michael T. Niemier; Xiaobo Sharon Hu; Tajana Rosing (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020)

Computing-in-Memory for Performance and Energy-Efficient Homomorphic Encryption. - Dayane Reis; Jonathan Takeshita; Taeho Jung; Michael T. Niemier; Xiaobo Sharon Hu (IEEE Trans. Very Large Scale Integr. Syst., 2020)

Cross-layer Design for Computing-in-Memory: From Devices, Circuits, to Architectures and Applications. - Hussam Amrouch; Xiaobo Sharon Hu; Mohsen Imani; Ann Franchesca Laguna; Michael T. Niemier; Simon Thomann; Xunzhao Yin; Cheng Zhuo (ASP-DAC, 2021)

Attention-in-Memory for Few-Shot Learning with Configurable Ferroelectric FET Arrays. - Dayane Reis; Ann Franchesca Laguna; Michael T. Niemier; Xiaobo Sharon Hu (ASP-DAC, 2021)

In-Memory Nearest Neighbor Search with FeFET Multi-Bit Content-Addressable Memories. - Arman Kazemi; Mohammad Mehdi Sharifi; Ann Franchesca Laguna; Franz Müller 001; Ramin Rajaei; Ricardo Olivo; Thomas Kämpfe; Michael T. Niemier; X. Sharon Hu (DATE, 2021)

In-Memory Computing based Accelerator for Transformer Networks for Long Sequences. - Ann Franchesca Laguna; Arman Kazemi; Michael T. Niemier; X. Sharon Hu (DATE, 2021)

Exploiting FeFETs via Cross-Layer Design from In-memory Computing Circuits to Meta-Learning Applications. - Dayane Reis; Ann Franchesca Laguna; Michael T. Niemier; Xiaobo Sharon Hu (DATE, 2021)

ICCAD Tutorial Session Paper Ferroelectric FET Technology and Applications: From Devices to Systems. - Hussam Amrouch; Di Gao; Xiaobo Sharon Hu; Arman Kazemi; Ann Franchesca Laguna; Kai Ni 004; Michael T. Niemier; Mohammad Mehdi Sharifi; Simon Thomann; Xunzhao Yin; Cheng Zhuo (ICCAD, 2021)

Low-Cost Sequential Logic Circuit Design Considering Single Event Double-Node Upsets and Single Event Transients. - Ramin Rajaei; Michael T. Niemier; Xiaobo Sharon Hu (ICCD, 2021)

A Flash-Based Multi-Bit Content-Addressable Memory with Euclidean Squared Distance. - Arman Kazemi; Shubham Sahay; Ayush Saxena; Mohammad Mehdi Sharifi; Michael T. Niemier; X. Sharon Hu (ISLPED, 2021)

MIMHD: Accurate and Efficient Hyperdimensional Inference Using Multi-Bit In-Memory Computing. - Arman Kazemi; Mohammad Mehdi Sharifi; Zhuowen Zou; Michael T. Niemier; X. Sharon Hu; Mohsen Imani (ISLPED, 2021)

Application-driven Design Exploration for Dense Ferroelectric Embedded Non-volatile Memories. - Mohammad Mehdi Sharifi; Lillian Pentecost; Ramin Rajaei; Arman Kazemi; Qiuwen Lou; Gu-Yeon Wei; David M. Brooks; Kai Ni 004; X. Sharon Hu; Michael T. Niemier; Marco Donato (ISLPED, 2021)

Deep Random Forest with Ferroelectric Analog Content Addressable Memory. - Xunzhao Yin; Franz Müller 001; Ann Franchesca Laguna; Chao Li 065; Wenwen Ye; Qingrong Huang; Qinming Zhang; Zhiguo Shi 001; Maximilian Lederer; Nellie Laleni; Shan Deng; Zijian Zhao 001; et al. (CoRR, 2021)

iMARS: an in-memory-computing architecture for recommendation systems. - Mengyuan Li 001; Ann Franchesca Laguna; Dayane Reis; Xunzhao Yin; Michael T. Niemier; X. Sharon Hu (DAC, 2022)

Eva-CAM: A Circuit/Architecture-Level Evaluation Tool for General Content Addressable Memories. - Liu Liu; Mohammad Mehdi Sharifi; Ramin Rajaei; Arman Kazemi; Kai Ni 004; Xunzhao Yin; Michael T. Niemier; Xiaobo Sharon Hu (DATE, 2022)

COSIME: FeFET Based Associative Memory for In-Memory Cosine Similarity Search. - Che-Kai Liu; Haobang Chen; Mohsen Imani; Kai Ni 004; Arman Kazemi; Ann Franchesca Laguna; Michael T. Niemier; Xiaobo Sharon Hu; Liang Zhao; Cheng Zhuo; Xunzhao Yin (ICCAD, 2022)

CoursePathVis: Course path visualization using flexible grouping and funnel-augmented Sankey diagram. - Brendan J. O'Handley; Morgan K. Ludwig; Samantha R. Allison; Michael T. Niemier; Shreya Kumar; Ramzi Bualuan; Chaoli Wang 001 (Visualization and Data Analysis, 2022)

Experimentally realized memristive memory augmented neural network. - Ruibin Mao; Bo Wen; Yahui Zhao; Arman Kazemi; Ann Franchesca Laguna; Michael T. Niemier; X. Sharon Hu; Xia Sheng; Catherine E. Graves; John Paul Strachan; Can Li (CoRR, 2022)

Computing-In-Memory Using Ferroelectrics: From Single- to Multi-Input Logic. - Qingrong Huang; Dayane Reis; Chao Li 065; Di Gao; Michael T. Niemier; Xiaobo Sharon Hu; Mohsen Imani; Xunzhao Yin; Cheng Zhuo (IEEE Des. Test, 2022)

FeFET Multi-Bit Content-Addressable Memories for In-Memory Nearest Neighbor Search. - Arman Kazemi; Mohammad Mehdi Sharifi; Ann Franchesca Laguna; Franz Müller 001; Xunzhao Yin; Thomas Kämpfe; Michael T. Niemier; X. Sharon Hu (IEEE Trans. Computers, 2022)

IMCRYPTO: An In-Memory Computing Fabric for AES Encryption and Decryption. - Dayane Reis; Haoran Geng; Michael T. Niemier; Xiaobo Sharon Hu (IEEE Trans. Very Large Scale Integr. Syst., 2022)

In-Memory Computing Accelerators for Emerging Learning Paradigms. - Dayane Reis; Ann Franchesca Laguna; Michael T. Niemier; Xiaobo Sharon Hu (ASP-DAC, 2023)

Cross Layer Design for the Predictive Assessment of Technology-Enabled Architectures. - Michael T. Niemier; Xiaobo Sharon Hu; Liu Liu; Mohammad Mehdi Sharifi; Ian O'Connor; David Atienza; Giovanni Ansaloni; Can Li; Asif Khan; Daniel C. Ralph (DATE, 2023)

Invited Paper: Algorithm/Hardware Co-Design for Few-Shot Learning at the Edge. - Ann Franchesca Laguna; Mohammad Mehdi Sharifi; Dayane Reis; Liu Liu; Andrew Hennessee; Clayton O'Dell; Ian O'Connor; Michael T. Niemier; X. Sharon Hu (ICCAD, 2023)

Accelerating Polynomial Modular Multiplication with Crossbar-Based Compute-in-Memory. - Mengyuan Li 001; Haoran Geng; Michael T. Niemier; Xiaobo Sharon Hu (ICCAD, 2023)

Privacy Preserving In-memory Computing Engine. - Haoran Geng; Jianqiao Mo; Dayane Reis; Jonathan Takeshita; Taeho Jung; Brandon Reagen; Michael T. Niemier; Xiaobo Sharon Hu (CoRR, 2023)

A Reconfigurable FeFET Content Addressable Memory for Multi-State Hamming Distance. - Liu Liu; Ann Franchesca Laguna; Ramin Rajaei; Mohammad Mehdi Sharifi; Arman Kazemi; Xunzhao Yin; Michael T. Niemier; Xiaobo Sharon Hu (IEEE Trans. Circuits Syst. I Regul. Pap., 2023)

Smoothing Disruption Across the Stack: Tales of Memory, Heterogeneity, & Compilers. - Michael T. Niemier; Zephan M. Enciso; M. Sharifi; Xiaobo Sharon Hu; Ian O'Connor; A. Graening; R. Sharma; P. Gupta; Jerónimo Castrillón; João Paulo C. de Lima; Asif Ali Khan; Hamid Farzaneh; et al. (DATE, 2024)

TAP-CAM: A Tunable Approximate Matching Engine based on Ferroelectric Content Addressable Memory. - Chenyu Ni; Sijie Chen; Che-Kai Liu; Liu Liu; Mohsen Imani; Thomas Kämpfe; Kai Ni 004; Michael T. Niemier; Xiaobo Sharon Hu; Cheng Zhuo; Xunzhao Yin (ICCAD, 2024)

Towards Uncertainty-Quantifiable Biomedical Intelligence: Mixed-signal Compute-in-Entropy for Bayesian Neural Networks. - Likai Pei; Yifan Qin; Zephan M. Enciso; Boyang Cheng; Jianbo Liu; Steven Davis; Zhenge Jia; Michael T. Niemier; Yiyu Shi 001; Xiaobo Sharon Hu; Ningyuan Cao (ICCAD, 2024)

Design of High-Performance and Compact CAM for Supporting Data-Intensive Applications. - Liu Liu; Ann Franchesca Laguna; Michael T. Niemier; Xiaobo Sharon Hu (ISCAS, 2024)

Efficient approximation of Earth Mover's Distance Based on Nearest Neighbor Search. - Guangyu Meng; Ruyu Zhou; Liu Liu; Peixian Liang; Fang Liu; Danny Chen 001; Michael T. Niemier; X. Sharon Hu (CoRR, 2024)

A New Secure Memory System for Efficient Data Protection and Access Pattern Obfuscation. - Haoran Geng; Yuezhi Che; Aaron Dingler; Michael T. Niemier; Xiaobo Sharon Hu (CoRR, 2024)

Shared-PIM: Enabling Concurrent Computation and Data Flow for Faster Processing-in-DRAM. - Ahmed Mamdouh; Haoran Geng; Michael T. Niemier; Xiaobo Sharon Hu; Dayane Reis (CoRR, 2024)

A Remedy to Compute-in-Memory with Dynamic Random Access Memory: 1FeFET-1C Technology for Neuro-Symbolic AI. - Xunzhao Yin; Hamza Errahmouni Barkam; Franz Müller 001; Yu Jiang 001; Mohsen Imani; Sukhrob Abdulazhanov; Alptekin Vardar; Nellie Laleni; Zijian Zhao 001; Jiahui Duan; Zhiguo Shi 001; Siddharth Joshi 001; et al. (CoRR, 2024)

Accelerating Finite-Field and Torus Fully Homomorphic Encryption via Compute-Enabled (S)RAM. - Jonathan Takeshita; Dayane Reis; Ting Gong; Michael T. Niemier; Xiaobo Sharon Hu; Taeho Jung (IEEE Trans. Computers, 2024)

A 65 nm Bayesian Neural Network Accelerator with 360 fJ/Sample In-Word GRNG for AI Uncertainty Estimation. - Zephan M. Enciso; Boyang Cheng; Likai Pei; Jianbo Liu; Steven Davis; Michael T. Niemier; Ningyuan Cao (CoRR, 2025)