A power-efficient reconfigurable architecture using PCM configuration technology. - Ali Ahari; Hossein Asadi 001; Behnam Khaleghi; Mehdi Baradaran Tahoori (DATE, 2014)

Towards dark silicon era in FPGAs using complementary hard logic design. - Ali Ahari; Behnam Khaleghi; Zahra Ebrahimi; Hossein Asadi 001; Mehdi Baradaran Tahoori (FPL, 2014)

An efficient reconfigurable architecture by characterizing most frequent logic functions. - Iman Ahmadpour; Behnam Khaleghi; Hossein Asadi 001 (FPL, 2015)

FPGA-Based Protection Scheme against Hardware Trojan Horse Insertion Using Dummy Logic. - Behnam Khaleghi; Ali Ahari; Hossein Asadi 001; Siavash Bayat Sarmadi (IEEE Embed. Syst. Lett., 2015)

A Scalable Dependability Scheme for Routing Fabric of SRAM-Based Reconfigurable Devices. - Sadegh Yazdanshenas; Hossein Asadi 001; Behnam Khaleghi (IEEE Trans. Very Large Scale Integr. Syst., 2015)

Reliability-aware design to suppress aging. - Hussam Amrouch; Behnam Khaleghi; Andreas Gerstlauer; Jörg Henkel (DAC, 2016)

Stress-aware routing to mitigate aging effects in SRAM-based FPGAs. - Behnam Khaleghi; Behzad Omidi; Hussam Amrouch; Jörg Henkel; Hossein Asadi 001 (FPL, 2016)

TooT: an efficient and scalable power-gating method for NoC routers. - Hossein Farrokhbakht; Mohammadkazem Taram; Behnam Khaleghi; Shaahin Hessabi (NOCS, 2016)

Designing Low Power and Durable Digital Blocks Using Shadow Nanoelectromechanical Relays. - Sadegh Yazdanshenas; Behnam Khaleghi; Paolo Ienne; Hossein Asadi 001 (IEEE Trans. Very Large Scale Integr. Syst., 2016)

Towards Aging-Induced Approximations. - Hussam Amrouch; Behnam Khaleghi; Andreas Gerstlauer; Jörg Henkel (DAC, 2017)

Optimizing temperature guardbands. - Hussam Amrouch; Behnam Khaleghi; Jörg Henkel (DATE, 2017)

A power gating switch box architecture in routing network of SRAM-based FPGAs in dark silicon era. - Zeinab Seifoori; Behnam Khaleghi; Hossein Asadi 001 (DATE, 2017)

PEAF: A Power-Efficient Architecture for SRAM-Based FPGAs Using Reconfigurable Hard Logic Design in Dark Silicon Era. - Zahra Ebrahimi; Behnam Khaleghi; Hossein Asadi 001 (IEEE Trans. Computers, 2017)

FlexiGAN: An End-to-End Solution for FPGA Acceleration of Generative Adversarial Networks. - Amir Yazdanbakhsh; Michael Brzozowski; Behnam Khaleghi; Soroush Ghodrati; Kambiz Samadi; Nam Sung Kim; Hadi Esmaeilzadeh (FCCM, 2018)

Voltage Adaptation Under Temperature Variation. - Hussam Amrouch; Behnam Khaleghi; Jörg Henkel (SMACD, 2018)

Chapter Seven - Introduction to Emerging SRAM-Based FPGA Architectures in Dark Silicon Era. - Zeinab Seifoori; Zahra Ebrahimi; Behnam Khaleghi; Hossein Asadi 001 (Adv. Comput., 2018)

A Resistive RAM-Based FPGA Architecture Equipped With Efficient Programming Circuitry. - Behnam Khaleghi; Hossein Asadi 001 (IEEE Trans. Circuits Syst. I Regul. Pap., 2018)

Thermal-Aware Design and Flow for FPGA Performance Improvement. - Behnam Khaleghi; Tajana Simunic Rosing (DATE, 2019)

SparseHD: Algorithm-Hardware Co-optimization for Efficient High-Dimensional Computing. - Mohsen Imani; Sahand Salamat; Behnam Khaleghi; Mohammad Samragh; Farinaz Koushanfar; Tajana Rosing (FCCM, 2019)

F5-HD: Fast Flexible FPGA-based Framework for Refreshing Hyperdimensional Computing. - Sahand Salamat; Mohsen Imani; Behnam Khaleghi; Tajana Rosing (FPGA, 2019)

Workload-Aware Opportunistic Energy Efficiency in Multi-FPGA Platforms. - Sahand Salamat; Behnam Khaleghi; Mohsen Imani; Tajana Rosing (ICCAD, 2019)

FPGA Energy Efficiency by Leveraging Thermal Margin. - Behnam Khaleghi; Sahand Salamat; Mohsen Imani; Tajana Rosing (ICCD, 2019)

RAPID: A ReRAM Processing in-Memory Architecture for DNA Sequence Alignment. - Saransh Gupta; Mohsen Imani; Behnam Khaleghi; Venkatesh Kumar; Tajana Rosing (ISLPED, 2019)

MAPIM: Mat Parallelism for High Performance Processing in Non-volatile Memory Architecture. - Joonseop Sim; Minsu Kim; Yeseong Kim; Saransh Gupta; Behnam Khaleghi; Tajana Rosing (ISQED, 2019)

An Efficient SRAM-Based Reconfigurable Architecture for Embedded Processors. - Sajjad Tamimi; Zahra Ebrahimi; Behnam Khaleghi; Hossein Asadi 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019)

Estimating and Mitigating Aging Effects in Routing Network of FPGAs. - Behnam Khaleghi; Behzad Omidi; Hussam Amrouch; Jörg Henkel; Hossein Asadi 001 (IEEE Trans. Very Large Scale Integr. Syst., 2019)

Prive-HD: Privacy-Preserved Hyperdimensional Computing. - Behnam Khaleghi; Mohsen Imani; Tajana Rosing (DAC, 2020)

Revisiting FPGA Routing under Varying Operating Conditions. - Behnam Khaleghi; Sahand Salamat; Tajana Simunic Rosing (FPT, 2020)

SHEARer: highly-efficient hyperdimensional computing by software-hardware enabled multifold approximation. - Behnam Khaleghi; Sahand Salamat; Anthony Thomas; Fatemeh Asgarinejad; Yeseong Kim; Tajana Rosing (ISLPED, 2020)

SHEARer: Highly-Efficient Hyperdimensional Computing by Software-Hardware Enabled Multifold Approximation. - Behnam Khaleghi; Sahand Salamat; Anthony Thomas; Fatemeh Asgarinejad; Yeseong Kim; Tajana Rosing (CoRR, 2020)

Residue-Net: Multiplication-free Neural Network by In-situ No-loss Migration to Residue Number Systems. - Sahand Salamat; Sumiran Shubhi; Behnam Khaleghi; Tajana Rosing (ASP-DAC, 2021)

Attention State Classification with In-Ear EEG. - Akshay Paul; Gopabandhu Hota; Behnam Khaleghi; Yuchen Xu 002; Tajana Rosing; Gert Cauwenberghs (BioCAS, 2021)

TruLook: A Framework for Configurable GPU Approximation. - Ricardo Garcia 003; Fatemeh Asgarinejad; Behnam Khaleghi; Tajana Rosing; Mohsen Imani (DATE, 2021)

tiny-HD: Ultra-Efficient Hyperdimensional Computing Engine for IoT Applications. - Behnam Khaleghi; Hanyang Xu 002; Justin Morris; Tajana Simunic Rosing (DATE, 2021)

HyDREA: Towards More Robust and Efficient Machine Learning Systems with Hyperdimensional Computing. - Justin Morris; Kazim Ergun; Behnam Khaleghi; Mohsen Imani; Baris Aksanli; Tajana Rosing (DATE, 2021)

NASCENT: Near-Storage Acceleration of Database Sort on SmartSSD. - Sahand Salamat; Armin Haj Aboutalebi; Behnam Khaleghi; Joo Hwan Lee; Yang-Seok Ki; Tajana Rosing (FPGA, 2021)

Stochastic-HD: Leveraging Stochastic Computing on Hyper-Dimensional Computing. - Yilun Hao; Saransh Gupta; Justin Morris; Behnam Khaleghi; Baris Aksanli; Tajana Rosing (ICCD, 2021)

XCelHD: An Efficient GPU-Powered Hyperdimensional Computing with Parallelized Training. - Jaeyoung Kang 001; Behnam Khaleghi; Yeseong Kim; Tajana Rosing (ASP-DAC, 2022)

FAST: FPGA-based Acceleration of Genomic Sequence Trimming. - Behnam Khaleghi; Tianqi Zhang; Niya Shao; Ameen Akel; Ken Curewitz; Justin Eno; Sean Eilert; Niema Moshiri; Tajana Rosing (BioCAS, 2022)

GENERIC: highly efficient learning engine on edge using hyperdimensional computing. - Behnam Khaleghi; Jaeyoung Kang 001; Hanyang Xu 002; Justin Morris; Tajana Rosing (DAC, 2022)

PatterNet: explore and exploit filter patterns for efficient deep neural networks. - Behnam Khaleghi; Uday Mallappa; Duygu Yaldiz; Haichao Yang; Monil Shah; Jaeyoung Kang 001; Tajana Rosing (DAC, 2022)

HyperSpike: HyperDimensional Computing for More Efficient and Robust Spiking Neural Networks. - Justin Morris; Hin Wai Lui; Kenneth Michael Stewart; Behnam Khaleghi; Anthony Thomas; Thiago Marback; Baris Aksanli; Emre Neftci; Tajana Rosing (DATE, 2022)

SALIENT: Ultra-Fast FPGA-based Short Read Alignment. - Behnam Khaleghi; Tianqi Zhang; Cameron Martino; George Armstrong; Ameen Akel; Ken Curewitz; Justin Eno; Sean Eilert; Rob Knight 001; Niema Moshiri; Tajana Rosing (FPT, 2022)

HDnn-PIM: Efficient in Memory Design of Hyperdimensional Computing with Feature Extraction. - Arpan Dutta; Saransh Gupta; Behnam Khaleghi; Rishikanth Chandrasekaran; Weihong Xu; Tajana Rosing (ACM Great Lakes Symposium on VLSI, 2022)

TermiNETor: Early Convolution Termination for Efficient Deep Neural Networks. - Uday Mallappa; Pranav Gangwar; Behnam Khaleghi; Haichao Yang; Tajana Rosing (ICCD, 2022)

Streaming Encoding Algorithms for Scalable Hyperdimensional Computing. - Anthony Thomas; Behnam Khaleghi; Gopi Krishna Jha; Sanjoy Dasgupta; Nageen Himayat; Ravi Iyer 001; Nilesh Jain; Tajana Rosing (CoRR, 2022)

OpenHD: A GPU-Powered Framework for Hyperdimensional Computing. - Jaeyoung Kang 001; Behnam Khaleghi; Tajana Rosing; Yeseong Kim (IEEE Trans. Computers, 2022)

Store-n-Learn: Classification and Clustering with Hyperdimensional Computing across Flash Hierarchy. - Saransh Gupta; Behnam Khaleghi; Sahand Salamat; Justin Morris; Ranganathan Ramkumar; Jeffrey Yu; Aniket Tiwari; Jaeyoung Kang 001; Mohsen Imani; Baris Aksanli; Tajana Simunic Rosing (ACM Trans. Embed. Comput. Syst., 2022)

HyDREA: Utilizing Hyperdimensional Computing for a More Robust and Efficient Machine Learning System. - Justin Morris; Kazim Ergun; Behnam Khaleghi; Mohsen Imani; Baris Aksanli; Tajana Simunic (ACM Trans. Embed. Comput. Syst., 2022)

Hierarchical, Distributed and Brain-Inspired Learning for Internet of Things Systems. - Mohsen Imani; Yeseong Kim; Behnam Khaleghi; Justin Morris; Haleh Alimohamadi; Farhad Imani; Hugo Latapie (ICDCS, 2023)

HD2FPGA: Automated Framework for Accelerating Hyperdimensional Computing on FPGAs. - Tianqi Zhang; Sahand Salamat; Behnam Khaleghi; Justin Morris; Baris Aksanli; Tajana Simunic Rosing (ISQED, 2023)

HD-Bind: Encoding of Molecular Structure with Low Precision, Hyperdimensional Binary Representations. - Derek Jones; Jonathan E. Allen; Xiaohua Zhang; Behnam Khaleghi; Jaeyoung Kang 001; Weihong Xu; Niema Moshiri; Tajana Simunic Rosing (CoRR, 2023)

HyperSpikeASIC: Accelerating Event-Based Workloads With HyperDimensional Computing and Spiking Neural Networks. - Tianqi Zhang; Justin Morris; Kenneth Michael Stewart; Hin Wai Lui; Behnam Khaleghi; Anthony Thomas; Thiago Goncalves-Marback; Baris Aksanli; Emre O. Neftci; Tajana Rosing (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

High-Performance Reconfigurable Accelerator for Knowledge Graph Reasoning. - Hanning Chen; Ali Zakeri; Yang Ni 001; Fei Wen; Behnam Khaleghi; Hugo Latapie; Mohsen Imani (FCCM, 2024)

HDReason: Algorithm-Hardware Codesign for Hyperdimensional Knowledge Graph Reasoning. - Hanning Chen; Yang Ni 001; Ali Zakeri; Zhuowen Zou; Sanggeon Yun; Fei Wen; Behnam Khaleghi; Narayan Srinivasa; Hugo Latapie; Mohsen Imani (CoRR, 2024)

FSL-HDnn: A 5.7 TOPS/W End-to-end Few-shot Learning Classifier Accelerator with Feature Extraction and Hyperdimensional Computing. - Haichao Yang; Chang Eun Song; Weihong Xu; Behnam Khaleghi; Uday Mallappa; Monil Shah; Keming Fan; Mingu Kang; Tajana Rosing (CoRR, 2024)

A Multimodal AI Acceleration with Dynamic Pruning and Run-Time Configuration. - Hyun Woo Oh; Hanning Chen; Sanggeon Yun; Yang Ni 001; Behnam Khaleghi; Fei Wen; Mohsen Imani (FCCM, 2025)

KGAccel: A Domain-Specific Reconfigurable Accelerator for Knowledge Graph Reasoning. - Hanning Chen; Ali Zakeri; Yang Ni 001; Fei Wen; Behnam Khaleghi; Hugo Latapie; Alvaro Velasquez; Mohsen Imani (NeuS, 2025)