Total of 42 publications with 21 undergraduate students and 15 underrepresented minority (URM) students.
Undergraduate students*:
In the following list, the "*" shows the undergraduate and "+" shows the URM students.
Undergraduate students*:
- 33 Publications with Undergraduate students
- Student list: J. Merssely, P. Liu, X. Wu, J. Morris, H. Shu, Y. Deng, F. Wu, A. Huang, R. Garcia, W. Pi, T. Worley, V. Kumar, S. Bosch, D. Kong, A. Arredondo, S. Li, S. Sharma, Y. Cheng, A. Alimohamadi, T. Nassar, J. Huang
- 25 Publications
- Student List: M. Javaheripi, B. Rouhani, X. Wu, H. Shu, A. Sokolova, R. Garcia, F. Wu, F. Wu, H. Shu, S. Patil, Y. Cheng, S. Li, H. Kaur, A. Alimohamadi, J. Huang,
In the following list, the "*" shows the undergraduate and "+" shows the URM students.
Conferences
[42] M. Imani, Y. Kim, S. Riazi, J. Merssely*, P. Liu*, F. Koushanfar, T. Rosing “A Framework for Collaborative Learning in Secure High-Dimensional Space”, IEEE Cloud Computing (CLOUD), 2019 [PDF].
[41] M. Imani, S. Bosch, M. Javaheripi+, B. Rouhani+, X. Wu*+, F. Koushanfar, T. Rosing, “SemiHD: Semi-Supervised Learning Using Hyperdimensional Computing”, IEEE/ACM International Conference On Computer Aided Design (ICCAD), 2019.
[40] M. Imani, J. Morris*, J. Messerly*, H. Shu*+, Y. Deng*, T. Rosing, “BRIC: Locality-based Encoding for Energy-Efficient Brain-Inspired Hyperdimensional Computing”, IEEE/ACM Design Automation Conference (DAC), 2019 (Best paper candidate) [PDF].
[39] M. Imani, A. Sokolova+, R. Garcia*+, A. Huang*, F. Wu*+, B. Aksanli, T. Rosing, “ApproxLP: Approximate Multiplication with Linearization and Iterative Error Control”, IEEE/ACM Design Automation Conference (DAC), 2019 (acceptance rate 24.8%) [PDF].
[38] M. Imani, J. Messerly*, F. Wu*+, W. Pi*, T. Rosing, “A Binary Learning Framework for Hyperdimensional Computing”, IEEE/ACM Design Automation and Test in Europe Conference (DATE), 2019 [PDF].
[37] M. Imani, Y. Kim, T. Worley*, S. Gupta, T. Rosing, “HDCluster: An Accurate Clustering Using Brain-Inspired High-Dimensional Computing”, IEEE/ACM Design Automation and Test in Europe Conference (DATE), 2019 [PDF].
[36] M. Imani, R. Garcia*+, A. Huang*, T. Rosing, “CADE: Configurable Approximate Divider for Energy Efficiency”, IEEE/ACM Design Automation and Test in Europe Conference (DATE), 2019 [PDF].
[35] S. Gupta, M. Imani, B. Khaleghi, V. Kumar*, T. Rosing, “RAPID: A ReRAM Processing in Memory Architecture for DNA Sequence Alignment", IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED), 2019.
[34] J. Morris, M. Imani, S. Bosch*, A. Thomas, H. Shu*+, T. Rosing, “CompHD: Efficient Hyperdimensional Computing Using Model Compression, IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED), 2019.
2018
[33] M. Imani, C. Huang*, D. Kong*, T. Rosing, “Hierarchical Hyperdimensional Computing for Energy Efficient Classification”, IEEE/ACM Design Automation Conference (DAC), 2018 [PDF].
[32] M. Imani, R. Garcia*+, S. Gupta, T. Rosing, “Configurable Floating Point Multiplier for Approximate Computing”, IEEE/ACM Design Automation Conference (DAC), 2018 [PDF].
[31] S. Gupta, M. Imani, T. Rosing, “Processing In-Memory Architecture for Multiple Memory Technology”, IEEE/ACM Design Automation Conference (DAC), 2018 [PDF].
[30] M. Imani, R. Garcia*+, S. Gupta, T. Rosing “RMAC: Runtime Configurable Floating Point Multiplier for Approximate Computing”, IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED), 2018 [PDF].
[29] M. Imani, M. Masich, D. Peroni, P. Wang*, T. Rosing, “CANNA: Neural Network Acceleration using Configurable Approximation on GPGPU”, IEEE Asia and South Pacific Design Automation Conference (ASP-DAC), 2018 [PDF].
2017
[28] M. Imani, A. Rahimi, D. Kong*, T. Rosing, J. M. Rabaey “Exploring Hyperdimensional Associative Memory”, IEEE International Symposium on High-Performance Computer Architecture (HPCA), 2017 [PDF].
[C27] M. Imani, S. Gupta, A. Arredondo*, T. Rosing “Efficient Query Processing in Crossbar Memory”, IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED), 2017 [PDF].
2016
[26] M. Imani, S. Patil+, T. Rosing, "MASC: Ultra-Low Energy Multiple-Access Single-Charge TCAM for Approximate Computing" IEEE/ACM Design Automation and Test in Europe Conference (DATE), 2016 [PDF].
[25] M. Imani, Y. Cheng*+, T. Rosing, "Processing Acceleration with Resistive Memory-based Computation" ACM International Symposium on Memory Systems (MEMSYS), 2016 [PDF].
[24] M. Imani, S. Patil+, T. Rosing, "Low Power Data-Aware STT-RAM based Hybrid Cache Architecture" IEEE International Symposium on Quality Electronic Design (ISQED), 2016 [PDF].
[23] M. Imani, S. Patil+, T. Rosing, "DCC: Double Capacity Cache for Narrow-Width Data Values" ACM Great lakes symposium on VLSI (GLSVLSI), 2016 [PDF].
2015
[22] M. Imani, S. Patil+, M. Jafari, T. Rosing, “Ultra-Low Read leakage SRAM Cell Utilizing Independently-Controlled-Gate FinFET”, Poster in IEEE/ACM Design Automation Conference (DAC), 2015.
[21] Y. Kim, M. Imani, S. Patil+, T. Rosing, “CAUSE: Critical Application Usage-Aware Memory System using Non-volatile Memory for Mobile Devices”, IEEE International Conference On Computer Aided Design (ICCAD), 2015 [PDF] [Slide].
Journals
[20] M. Imani, J. Morris*, H. Shu*+, S. Li*+, T. Rosing, “Efficient Associative Search in Brain-Inspired Hyperdimensional Computing”, IEEE Design & Test (D&T), 2019 [PDF].
[19] M. Imani, R. Garcia*+, S. Gupta, T. Rosing, “Hardware-Software Co-design to Accelerate Neural Network Applications”, ACM Journal on Emerging Technologies in Computing (JETC), 2019 [PDF].
[18] S. Gupta, M. Imani, H. Kaur+, T. Rosing, “NNPIM: A Processing In-Memory Architecture for Neural Network Acceleration”, IEEE Transactions on Computers (TC), 2019 [PDF].
[17] M. Imani, S. Gupta, S. Sharma*, T. Rosing, “NVQuery: Efficient Query Processing in Non-Volatile Memory”, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2018 [PDF].
[16] M. Imani, A. Rahimi, J. Hwang*, T. Rosing, J. M. Rabaey “Low-Power Sparse Hyperdimensional Encoder for Language Recognition”, IEEE Design & Test, 2017 [PDF].
[15] M. Imani, S. Patil+, T. Rosing, "Approximate Computing using Multiple-Access Single-Charge Associative Memory" IEEE Transaction on Emerging Topics in Computing (TETC), 2017 [PDF].
[14] H. Alimohamadi*+, M. Imani, B. Forouzandeh “Computational Analysis of Transient non-Newtonian Blood Flow in Magnetic Targeting Drug Delivery in Stenosed Carotid Bifurcation Artery,” in International Journal of Fluid Mechanics Research, Taylor and Francis, vol. 42, no. 2, pp. 149-169, 2015 [PDF].
[13] H. Alimohamadi*+, M. Imani, “Finite Element Simulation of Two-Dimensional Pulsatile Blood Flow thorough a Stenosed Artery in the Presence of External Magnetic Field,” in International Journal for Computational Methods in Engineering Science & Mechanics, Taylor and Francis, vol. 15, no. 4, pp. 390-400, 2014 [PDF]
[12] H. Alimohamadi*+, M. Imani, “Transient Non-Newtonian Blood Flow under Magnetic Targeting Drug Delivery in an Aneurysm Blood Vessel with Porous Walls,” in International Journal for Computational Methods in Engineering Science & Mechanics, Taylor and Francis, vol. 15, no. 6, pp. 522-533, 2014 [PDF]
Other Proceedings and Workshops
[11] M. Imani, S. Salamat, S. Gupta, J. Huang*+, T. Rosing, “FACH: FPGA-based Acceleration of Hyperdimensional Computing by Reducing Computational Complexity”, IEEE Asia and South Pacific Design Automation Conference (ASP-DAC), 2019 [PDF].
[10] M. Imani, T. Nassar*, T. Rosing, “Brain-Inspired Hyperdimensional Computing for Real-Time Health Analysis”, IEEE International Conference on Biomedical and Health Informatics (BHI), 2019 [PDF].
[9] M. Imani, T. Nassar*, J. Morris, T. Rosing, “DNA Sequencing using Brain-inspired Hyperdimensional Computing", GOMACTech Conference, 2019 [PDF].
[8] M. Imani, T. Nassar*, T. Rosing, “Moving Toward Real-Time Diagnostics using Brain-Inspired Hyperdimensional Computing”, AACR conference on Artificial Intelligence, Big Data, and Prediction in Cancer, 2018 [PDF].
[7] M. Imani, A. Rahimi, D. Kong*, T. Rosing, J. M. Rabaey “Hardware Acceleration of Brain-inspired Hyperdimensional Computing”, IEEE/ACM ICCAD, Workshop on Variability, Modeling, and Characterization (VMC), 2017.
[6] M. Imani, D. Kong*, A. Rahimi, T. Rosing, “VoiceHD: Hyperdimensional Computing for Efficient Speech Recognition”, IEEE International Conference on Rebooting Computing (ICRC), 2017 [PDF].
[5] M. Imani, D. Kong*, A. Rahimi and T. Rosing, Jan Rabaey, "Brain-Inspired Hyperdimensional Computing: Robust, Scalable and Energy Efficient Classifier," Techon SRC Conference, 2017.
[4] M. Imani, S. Patil+, T. Rosing, “Hierarchical Design of Robust and Low Data Dependent FinFET Based SRAM Array”, IEEE International Symposium on Nanoscale Architecture (Nanoarch), 2015 [PDF]
[3] M. Imani, A. Rahimi, D. Kong*, T. Rosing, Jan Rabaey, “Non-Volatile Associative Memory to Accelerate Brain-inspired Hyperdimensional Computing” Non-Volatile Memory Workshop (NVMW), 2018 .
[2] M. Imani, S. Patil+, T. Rosing, “Using STT-RAM Based Buffers in Digital Circuits”, Annual Non-Volatile Memories Workshop (NVMW), 2015 [PDF].
[1] M. Imani, Y. Cheng*+, T. Rosing, "Resistive Memory for Approximate Program Acceleration" Non-Volatile Memory Workshop (NVMW), 2016 [PDF].
[42] M. Imani, Y. Kim, S. Riazi, J. Merssely*, P. Liu*, F. Koushanfar, T. Rosing “A Framework for Collaborative Learning in Secure High-Dimensional Space”, IEEE Cloud Computing (CLOUD), 2019 [PDF].
[41] M. Imani, S. Bosch, M. Javaheripi+, B. Rouhani+, X. Wu*+, F. Koushanfar, T. Rosing, “SemiHD: Semi-Supervised Learning Using Hyperdimensional Computing”, IEEE/ACM International Conference On Computer Aided Design (ICCAD), 2019.
[40] M. Imani, J. Morris*, J. Messerly*, H. Shu*+, Y. Deng*, T. Rosing, “BRIC: Locality-based Encoding for Energy-Efficient Brain-Inspired Hyperdimensional Computing”, IEEE/ACM Design Automation Conference (DAC), 2019 (Best paper candidate) [PDF].
[39] M. Imani, A. Sokolova+, R. Garcia*+, A. Huang*, F. Wu*+, B. Aksanli, T. Rosing, “ApproxLP: Approximate Multiplication with Linearization and Iterative Error Control”, IEEE/ACM Design Automation Conference (DAC), 2019 (acceptance rate 24.8%) [PDF].
[38] M. Imani, J. Messerly*, F. Wu*+, W. Pi*, T. Rosing, “A Binary Learning Framework for Hyperdimensional Computing”, IEEE/ACM Design Automation and Test in Europe Conference (DATE), 2019 [PDF].
[37] M. Imani, Y. Kim, T. Worley*, S. Gupta, T. Rosing, “HDCluster: An Accurate Clustering Using Brain-Inspired High-Dimensional Computing”, IEEE/ACM Design Automation and Test in Europe Conference (DATE), 2019 [PDF].
[36] M. Imani, R. Garcia*+, A. Huang*, T. Rosing, “CADE: Configurable Approximate Divider for Energy Efficiency”, IEEE/ACM Design Automation and Test in Europe Conference (DATE), 2019 [PDF].
[35] S. Gupta, M. Imani, B. Khaleghi, V. Kumar*, T. Rosing, “RAPID: A ReRAM Processing in Memory Architecture for DNA Sequence Alignment", IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED), 2019.
[34] J. Morris, M. Imani, S. Bosch*, A. Thomas, H. Shu*+, T. Rosing, “CompHD: Efficient Hyperdimensional Computing Using Model Compression, IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED), 2019.
2018
[33] M. Imani, C. Huang*, D. Kong*, T. Rosing, “Hierarchical Hyperdimensional Computing for Energy Efficient Classification”, IEEE/ACM Design Automation Conference (DAC), 2018 [PDF].
[32] M. Imani, R. Garcia*+, S. Gupta, T. Rosing, “Configurable Floating Point Multiplier for Approximate Computing”, IEEE/ACM Design Automation Conference (DAC), 2018 [PDF].
[31] S. Gupta, M. Imani, T. Rosing, “Processing In-Memory Architecture for Multiple Memory Technology”, IEEE/ACM Design Automation Conference (DAC), 2018 [PDF].
[30] M. Imani, R. Garcia*+, S. Gupta, T. Rosing “RMAC: Runtime Configurable Floating Point Multiplier for Approximate Computing”, IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED), 2018 [PDF].
[29] M. Imani, M. Masich, D. Peroni, P. Wang*, T. Rosing, “CANNA: Neural Network Acceleration using Configurable Approximation on GPGPU”, IEEE Asia and South Pacific Design Automation Conference (ASP-DAC), 2018 [PDF].
2017
[28] M. Imani, A. Rahimi, D. Kong*, T. Rosing, J. M. Rabaey “Exploring Hyperdimensional Associative Memory”, IEEE International Symposium on High-Performance Computer Architecture (HPCA), 2017 [PDF].
[C27] M. Imani, S. Gupta, A. Arredondo*, T. Rosing “Efficient Query Processing in Crossbar Memory”, IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED), 2017 [PDF].
2016
[26] M. Imani, S. Patil+, T. Rosing, "MASC: Ultra-Low Energy Multiple-Access Single-Charge TCAM for Approximate Computing" IEEE/ACM Design Automation and Test in Europe Conference (DATE), 2016 [PDF].
[25] M. Imani, Y. Cheng*+, T. Rosing, "Processing Acceleration with Resistive Memory-based Computation" ACM International Symposium on Memory Systems (MEMSYS), 2016 [PDF].
[24] M. Imani, S. Patil+, T. Rosing, "Low Power Data-Aware STT-RAM based Hybrid Cache Architecture" IEEE International Symposium on Quality Electronic Design (ISQED), 2016 [PDF].
[23] M. Imani, S. Patil+, T. Rosing, "DCC: Double Capacity Cache for Narrow-Width Data Values" ACM Great lakes symposium on VLSI (GLSVLSI), 2016 [PDF].
2015
[22] M. Imani, S. Patil+, M. Jafari, T. Rosing, “Ultra-Low Read leakage SRAM Cell Utilizing Independently-Controlled-Gate FinFET”, Poster in IEEE/ACM Design Automation Conference (DAC), 2015.
[21] Y. Kim, M. Imani, S. Patil+, T. Rosing, “CAUSE: Critical Application Usage-Aware Memory System using Non-volatile Memory for Mobile Devices”, IEEE International Conference On Computer Aided Design (ICCAD), 2015 [PDF] [Slide].
Journals
[20] M. Imani, J. Morris*, H. Shu*+, S. Li*+, T. Rosing, “Efficient Associative Search in Brain-Inspired Hyperdimensional Computing”, IEEE Design & Test (D&T), 2019 [PDF].
[19] M. Imani, R. Garcia*+, S. Gupta, T. Rosing, “Hardware-Software Co-design to Accelerate Neural Network Applications”, ACM Journal on Emerging Technologies in Computing (JETC), 2019 [PDF].
[18] S. Gupta, M. Imani, H. Kaur+, T. Rosing, “NNPIM: A Processing In-Memory Architecture for Neural Network Acceleration”, IEEE Transactions on Computers (TC), 2019 [PDF].
[17] M. Imani, S. Gupta, S. Sharma*, T. Rosing, “NVQuery: Efficient Query Processing in Non-Volatile Memory”, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2018 [PDF].
[16] M. Imani, A. Rahimi, J. Hwang*, T. Rosing, J. M. Rabaey “Low-Power Sparse Hyperdimensional Encoder for Language Recognition”, IEEE Design & Test, 2017 [PDF].
[15] M. Imani, S. Patil+, T. Rosing, "Approximate Computing using Multiple-Access Single-Charge Associative Memory" IEEE Transaction on Emerging Topics in Computing (TETC), 2017 [PDF].
[14] H. Alimohamadi*+, M. Imani, B. Forouzandeh “Computational Analysis of Transient non-Newtonian Blood Flow in Magnetic Targeting Drug Delivery in Stenosed Carotid Bifurcation Artery,” in International Journal of Fluid Mechanics Research, Taylor and Francis, vol. 42, no. 2, pp. 149-169, 2015 [PDF].
[13] H. Alimohamadi*+, M. Imani, “Finite Element Simulation of Two-Dimensional Pulsatile Blood Flow thorough a Stenosed Artery in the Presence of External Magnetic Field,” in International Journal for Computational Methods in Engineering Science & Mechanics, Taylor and Francis, vol. 15, no. 4, pp. 390-400, 2014 [PDF]
[12] H. Alimohamadi*+, M. Imani, “Transient Non-Newtonian Blood Flow under Magnetic Targeting Drug Delivery in an Aneurysm Blood Vessel with Porous Walls,” in International Journal for Computational Methods in Engineering Science & Mechanics, Taylor and Francis, vol. 15, no. 6, pp. 522-533, 2014 [PDF]
Other Proceedings and Workshops
[11] M. Imani, S. Salamat, S. Gupta, J. Huang*+, T. Rosing, “FACH: FPGA-based Acceleration of Hyperdimensional Computing by Reducing Computational Complexity”, IEEE Asia and South Pacific Design Automation Conference (ASP-DAC), 2019 [PDF].
[10] M. Imani, T. Nassar*, T. Rosing, “Brain-Inspired Hyperdimensional Computing for Real-Time Health Analysis”, IEEE International Conference on Biomedical and Health Informatics (BHI), 2019 [PDF].
[9] M. Imani, T. Nassar*, J. Morris, T. Rosing, “DNA Sequencing using Brain-inspired Hyperdimensional Computing", GOMACTech Conference, 2019 [PDF].
[8] M. Imani, T. Nassar*, T. Rosing, “Moving Toward Real-Time Diagnostics using Brain-Inspired Hyperdimensional Computing”, AACR conference on Artificial Intelligence, Big Data, and Prediction in Cancer, 2018 [PDF].
[7] M. Imani, A. Rahimi, D. Kong*, T. Rosing, J. M. Rabaey “Hardware Acceleration of Brain-inspired Hyperdimensional Computing”, IEEE/ACM ICCAD, Workshop on Variability, Modeling, and Characterization (VMC), 2017.
[6] M. Imani, D. Kong*, A. Rahimi, T. Rosing, “VoiceHD: Hyperdimensional Computing for Efficient Speech Recognition”, IEEE International Conference on Rebooting Computing (ICRC), 2017 [PDF].
[5] M. Imani, D. Kong*, A. Rahimi and T. Rosing, Jan Rabaey, "Brain-Inspired Hyperdimensional Computing: Robust, Scalable and Energy Efficient Classifier," Techon SRC Conference, 2017.
[4] M. Imani, S. Patil+, T. Rosing, “Hierarchical Design of Robust and Low Data Dependent FinFET Based SRAM Array”, IEEE International Symposium on Nanoscale Architecture (Nanoarch), 2015 [PDF]
[3] M. Imani, A. Rahimi, D. Kong*, T. Rosing, Jan Rabaey, “Non-Volatile Associative Memory to Accelerate Brain-inspired Hyperdimensional Computing” Non-Volatile Memory Workshop (NVMW), 2018 .
[2] M. Imani, S. Patil+, T. Rosing, “Using STT-RAM Based Buffers in Digital Circuits”, Annual Non-Volatile Memories Workshop (NVMW), 2015 [PDF].
[1] M. Imani, Y. Cheng*+, T. Rosing, "Resistive Memory for Approximate Program Acceleration" Non-Volatile Memory Workshop (NVMW), 2016 [PDF].