Tinoosh Mohsenin

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 108

Top Venues

CoRR

ACM Great Lakes Symposium on VLSI

ISCAS

ACM J. Emerg. Technol. Comput. Syst.

Publications

Uttej Kallakuri, Edward Humes, Tinoosh Mohsenin
Resource-Aware Saliency-Guided Differentiable Pruning for Deep Neural Networks. ACM Great Lakes Symposium on VLSI (2024)
Hasib-Al Rashid, Argho Sarkar, Aryya Gangopadhyay, Maryam Rahnemoonfar, Tinoosh Mohsenin
TinyVQA: Compact Multimodal Deep Neural Network for Visual Question Answering on Resource-Constrained Devices. CoRR (2024)
Hasib-Al Rashid, Utteja Kallakuri, Tinoosh Mohsenin
Net-V2: A Compact Low-power Software Hardware Architecture for Multimodal Deep Neural Networks. ACM Trans. Embed. Comput. Syst. 23 (3) (2024)
Arnab Neelim Mazumder, Farshad Safavi, Maryam Rahnemoonfar, Tinoosh Mohsenin
Reg-Tune: A Regression-Focused Fine-Tuning Approach for Profiling Low Energy Consumption and Latency. ACM Trans. Embed. Comput. Syst. 23 (3) (2024)
Hasib-Al Rashid, Tinoosh Mohsenin
Net-V3: Memory-Aware Compressed Multimodal Deep Neural Networks for Sustainable Edge Deployment. CoRR (2024)
Bharat Prakash, Tim Oates, Tinoosh Mohsenin
Using LLMs for Augmenting Hierarchical Agents with Common Sense Priors. FLAIRS (2024)
Edward Humes, Mozhgan Navardi, Tinoosh Mohsenin
Squeezed Edge YOLO: Onboard Object Detection on Edge Devices. CoRR (2023)
Arnab Neelim Mazumder, Tinoosh Mohsenin
Reg-TuneV2: A Hardware-Aware and Multiobjective Regression-Based Fine-Tuning Approach for Deep Neural Networks on Embedded Platforms. IEEE Micro 43 (6) (2023)
Tejaswini Manjunath, Mozhgan Navardi, Prakhar Dixit, Bharat Prakash, Tinoosh Mohsenin
ReProHRL: Towards Multi-Goal Navigation in the Real World using Hierarchical Agents. CoRR (2023)
Mozhgan Navardi, Tinoosh Mohsenin
MLAE2: Metareasoning for Latency-Aware Energy-Efficient Autonomous Nano-Drones. ISCAS (2023)
Hasib-Al Rashid, Tinoosh Mohsenin
HAC-POCD: Hardware-Aware Compressed Activity Monitoring and Fall Detector Edge POC Devices. BioCAS (2023)
Bharat Prakash, Tim Oates, Tinoosh Mohsenin
LLM Augmented Hierarchical Agents. CoRR (2023)
Mozhgan Navardi, Edward Humes, Tejaswini Manjunath, Tinoosh Mohsenin
MetaE2RL: Toward Meta-Reasoning for Energy-Efficient Multigoal Reinforcement Learning With Squeezed-Edge You Only Look Once. IEEE Micro 43 (6) (2023)
Arnab Neelim Mazumder, Niall Lyons, Ashutosh Pandey, Avik Santra, Tinoosh Mohsenin
Harnessing the Power of Explanations for Incremental Training: A LIME-Based Approach. EUSIPCO (2023)
Aidin Shiri, Mozhgan Navardi, Tejaswini Manjunath, Nicholas R. Waytowich, Tinoosh Mohsenin
Efficient Language-Guided Reinforcement Learning for Resource-Constrained Autonomous Systems. IEEE Micro 42 (6) (2022)
Aidin Shiri, Arnab Neelim Mazumder, Bharat Prakash, Houman Homayoun, Nicholas R. Waytowich, Tinoosh Mohsenin
A Hardware Accelerator for Language-Guided Reinforcement Learning. IEEE Des. Test 39 (3) (2022)
Aidin Shiri, Utteja Kallakuri, Hasib-Al Rashid, Bharat Prakash, Nicholas R. Waytowich, Tim Oates, Tinoosh Mohsenin
E2HRL: An Energy-efficient Hardware Accelerator for Hierarchical Deep Reinforcement Learning. ACM Trans. Design Autom. Electr. Syst. 27 (5) (2022)
Bharat Prakash, Nicholas R. Waytowich, Tim Oates, Tinoosh Mohsenin
Towards an Interpretable Hierarchical Agent Framework using Semantic Goals. CoRR (2022)
Arnab Neelim Mazumder, Tinoosh Mohsenin
A Fast Network Exploration Strategy to Profile Low Energy Consumption for Keyword Spotting. CoRR (2022)
Dennis V. Christensen, Regina Dittmann, Bernabé Linares-Barranco, Abu Sebastian, Manuel Le Gallo, Andrea Redaelli, Stefan Slesazeck, Thomas Mikolajick, Sabina Spiga, Stephan Menzel, Ilia Valov, Gianluca Milano, Carlo Ricciardi, Shi-Jun Liang, Feng Miao, Mario Lanza, Tyler J. Quill, Scott T. Keene, Alberto Salleo, Julie Grollier, Danijela Markovic, Alice Mizrahi, Peng Yao, J. Joshua Yang, Giacomo Indiveri, John Paul Strachan, Suman Datta, Elisa Vianello, Alexandre Valentian, Johannes Feldmann, Xuan Li, Wolfram H. P. Pernice, Harish Bhaskaran, Steve B. Furber, Emre Neftci, Franz Scherr, Wolfgang Maass, Srikanth Ramaswamy, Jonathan Tapson, Priyadarshini Panda, Youngeun Kim, Gouhei Tanaka, Simon Thorpe, Chiara Bartolozzi, Thomas A. Cleland, Christoph Posch, Shih-Chii Liu, Gabriella Panuccio, Mufti Mahmud, Arnab Neelim Mazumder, Morteza Hosseini, Tinoosh Mohsenin, Elisa Donati, Silvia Tolu, Roberto Galeazzi, Martin Ejsing Christensen, Sune Holm, Daniele Ielmini, N. Pryds
2022 roadmap on neuromorphic computing and engineering. Neuromorph. Comput. Eng. 2 (2) (2022)
Hasib-Al-Rashid, Pretom Roy Ovi, Aryya Gangopadhyay, Tinoosh Mohsenin
Net: A Flexible System Algorithm Co-designed Multimodal Learning Framework for Tiny Devices. CoRR (2022)
Arnab Neelim Mazumder, Haoran Ren, Hasib-Al Rashid, Morteza Hosseini, Vandana Chandrareddy, Houman Homayoun, Tinoosh Mohsenin
Automatic Detection of Respiratory Symptoms Using a Low-Power Multi-Input CNN Processor. IEEE Des. Test 39 (3) (2022)
Mozhgan Navardi, Aidin Shiri, Edward Humes, Nicholas R. Waytowich, Tinoosh Mohsenin
An Optimization Framework for Efficient Vision-Based Autonomous Drone Navigation. AICAS (2022)
Mozhgan Navardi, Edward Humes, Tinoosh Mohsenin
E2EdgeAI: Energy-Efficient Edge Computing for Deployment of Vision-Based DNNs on Autonomous Tiny Drones. SEC (2022)
Soheil Salehi, Tyler David Sheaves, Kevin Immanuel Gubbi, Sayed Arash Beheshti, Sai Manoj P. D., Setareh Rafatirad, Avesta Sasan, Tinoosh Mohsenin, Houman Homayoun
Neuromorphic-Enabled Security for IoT. NEWCAS (2022)
Dennis V. Christensen, Regina Dittmann, Bernabé Linares-Barranco, Abu Sebastian, Manuel Le Gallo, Andrea Redaelli, Stefan Slesazeck, Thomas Mikolajick, Sabina Spiga, Stephan Menzel, Ilia Valov, Gianluca Milano, Carlo Ricciardi, Shi-Jun Liang, Feng Miao, Mario Lanza, Tyler J. Quill, Scott T. Keene, Alberto Salleo, Julie Grollier, Danijela Markovic, Alice Mizrahi, Peng Yao, J. Joshua Yang, Giacomo Indiveri, John Paul Strachan, Suman Datta, Elisa Vianello, Alexandre Valentian, Johannes Feldmann, Xuan Li, Wolfram H. P. Pernice, Harish Bhaskaran, Emre Neftci, Srikanth Ramaswamy, Jonathan Tapson, Franz Scherr, Wolfgang Maass, Priyadarshini Panda, Youngeun Kim, Gouhei Tanaka, Simon Thorpe, Chiara Bartolozzi, Thomas A. Cleland, Christoph Posch, Shih-Chii Liu, Arnab Neelim Mazumder, Morteza Hosseini, Tinoosh Mohsenin, Elisa Donati, Silvia Tolu, Roberto Galeazzi, Martin Ejsing Christensen, Sune Holm, Daniele Ielmini, N. Pryds
2021 Roadmap on Neuromorphic Computing and Engineering. CoRR (2021)
Morteza Hosseini, Tinoosh Mohsenin
QS-NAS: Optimally Quantized Scaled Architecture Search to Enable Efficient On-Device Micro-AI. IEEE J. Emerg. Sel. Topics Circuits Syst. 11 (4) (2021)
Morteza Hosseini, Tinoosh Mohsenin
Binary Precision Neural Network Manycore Accelerator. ACM J. Emerg. Technol. Comput. Syst. 17 (2) (2021)
Hosein Mohammadi Makrani, Hossein Sayadi, Najmeh Nazari, Sai Manoj Pudukotai Dinakarrao, Avesta Sasan, Tinoosh Mohsenin, Setareh Rafatirad, Houman Homayoun
Adaptive Performance Modeling of Data-intensive Workloads for Resource Provisioning in Virtualized Environment. ACM Trans. Model. Perform. Evaluation Comput. Syst. 5 (4) (2021)
Mohit Khatwani, Hasib-Al-Rashid, Hirenkumar Paneliya, Mark Horton, Nicholas R. Waytowich, W. David Hairston, Tinoosh Mohsenin
A Flexible Multichannel EEG Artifact Identification Processor using Depthwise-Separable Convolutional Neural Networks. ACM J. Emerg. Technol. Comput. Syst. 17 (2) (2021)
Arnab Neelim Mazumder, Jian Meng, Hasib-Al-Rashid, Utteja Kallakuri, Xin Zhang, Jae-Sun Seo, Tinoosh Mohsenin
A Survey on the Optimization of Neural Network Accelerators for Micro-AI On-Device Inference. IEEE J. Emerg. Sel. Topics Circuits Syst. 11 (4) (2021)
Han Wang, Soheil Salehi, Hossein Sayadi, Avesta Sasan, Tinoosh Mohsenin, Sai Manoj P. D., Setareh Rafatirad, Houman Homayoun
Evaluation of Machine Learning-based Detection against Side-Channel Attacks on Autonomous Vehicle. AICAS (2021)
Morteza Hosseini, Nitheesh Kumar Manjunath, Bharat Prakash, Arnab Neelim Mazumder, Vandana Chandrareddy, Houman Homayoun, Tinoosh Mohsenin
Cyclic Sparsely Connected Architectures for Compact Deep Convolutional Neural Networks. IEEE Trans. Very Large Scale Integr. Syst. 29 (10) (2021)
Ali Mirzaeian, Jana Kosecka, Houman Homayoun, Tinoosh Mohsenin, Avesta Sasan
Diverse Knowledge Distillation (DKD): A Solution for Improving The Robustness of Ensemble Models Against Adversarial Attacks. ISQED (2021)
Aidin Shiri, Bharat Prakash, Arnab Neelim Mazumder, Nicholas R. Waytowich, Tim Oates, Tinoosh Mohsenin
An Energy-Efficient Hardware Accelerator for Hierarchical Deep Reinforcement Learning. AICAS (2021)
Tinoosh Mohsenin, Inna Partin-Vaisband, Houman Homayoun, Jae-Sun Seo, Xin Zhang
Guest Editorial Cross-Layer Designs, Methodologies, and Systems to Enable Micro AI for On-Device Intelligence. IEEE J. Emerg. Sel. Topics Circuits Syst. 11 (4) (2021)
Bharat Prakash, Nicholas R. Waytowich, Tinoosh Mohsenin, Tim Oates
Automatic Goal Generation using Dynamical Distance Learning. CoRR (2021)
Bharat Prakash, Nicholas R. Waytowich, Tim Oates, Tinoosh Mohsenin
Interactive Hierarchical Guidance using Language. CoRR (2021)
Nitheesh Kumar Manjunath, Aidin Shiri, Morteza Hosseini, Bharat Prakash, Nicholas R. Waytowich, Tinoosh Mohsenin
An Energy Efficient EdgeAI Autoencoder Accelerator for Reinforcement Learning. IEEE Open J. Circuits Syst. 2 (2021)
Hasib-Al-Rashid, Arnab Neelim Mazumder, Utteja Panchakshara Kallakuri Niyogi, Tinoosh Mohsenin
CoughNet: A Flexible Low Power CNN-LSTM Processor for Cough Sound Detection. AICAS (2021)
Haoran Ren, Arnab Neelim Mazumder, Hasib-Al-Rashid, Vandana Chandrareddy, Aidin Shiri, Nitheesh Kumar Manjunath, Tinoosh Mohsenin
End-to-end Scalable and Low Power Multi-modal CNN for Respiratory-related Symptoms Detection. SoCC (2020)
Morteza Hosseini, Haoran Ren, Hasib-Al-Rashid, Arnab Neelim Mazumder, Bharat Prakash, Tinoosh Mohsenin
Neural Networks for Pulmonary Disease Diagnosis using Auditory and Demographic Information. CoRR (2020)
Farnaz Behnia, Ali Mirzaeian, Mohammad Sabokrou, Sai Manoj P. D., Tinoosh Mohsenin, Khaled N. Khasawneh, Liang Zhao, Houman Homayoun, Avesta Sasan
Code-Bridged Classifier (CBC): A Low or Negative Overhead Defense for Making a CNN Classifier Robust Against Adversarial Attacks. CoRR (2020)
Bharat Prakash, Nicholas R. Waytowich, Ashwinkumar Ganesan, Tim Oates, Tinoosh Mohsenin
Guiding Safe Reinforcement Learning Policies Using Structured Language Constraints. SafeAI@AAAI (2020)
Hasib-Al-Rashid, Nitheesh Kumar Manjunath, Hirenkumar Paneliya, Morteza Hosseini, W. David Hairston, Tinoosh Mohsenin
A Low-Power LSTM Processor for Multi-Channel Brain EEG Artifact Detection. ISQED (2020)
Ali Mirzaeian, Mohammad Sabokrou, Mohammad Khalooei, Jana Kosecka, Houman Homayoun, Tinoosh Mohsenin, Avesta Sasan
Learning Diverse Latent Representations for Improving the Resilience to Adversarial Attacks. CoRR (2020)
Aidin Shiri, Arnab Neelim Mazumder, Bharat Prakash, Nitheesh Kumar Manjunath, Houman Homayoun, Avesta Sasan, Nicholas R. Waytowich, Tinoosh Mohsenin
Energy-Efficient Hardware for Language Guided Reinforcement Learning. ACM Great Lakes Symposium on VLSI (2020)
Hossein Sayadi, Yifeng Gao, Hosein Mohammadi Makrani, Tinoosh Mohsenin, Avesta Sasan, Setareh Rafatirad, Jessica Lin, Houman Homayoun
StealthMiner: Specialized Time Series Machine Learning for Run-Time Stealthy Malware Detection based on Microarchitectural Features. ACM Great Lakes Symposium on VLSI (2020)
Asmita Korde-Patel, Richard K. Barry, Tinoosh Mohsenin
Compressive Sensing Based Data Acquisition Architecture for Transient Stellar Events in Crowded Star Fields. I2MTC (2020)
Ali Mirzaeian, Masoud PourReza, Mohammad Sabokrou, Ashkan Vakil, Tinoosh Mohsenin, Houman Homayoun, Avesta Sasan
Cluster-Based Partitioning of Convolutional Neural Networks, A Solution for Computational Energy and Complexity Reduction. CoRR (2020)
Han Wang, Hossein Sayadi, Avesta Sasan, Setareh Rafatirad, Tinoosh Mohsenin, Houman Homayoun
Comprehensive Evaluation of Machine Learning Countermeasures for Detecting Microarchitectural Side-Channel Attacks. ACM Great Lakes Symposium on VLSI (2020)
Arnab Neelim Mazumder, Hasib-Al-Rashid, Tinoosh Mohsenin
An Energy-Efficient Low Power LSTM Processor for Human Activity Monitoring. SoCC (2020)
Farnaz Behnia, Ali Mirzaeian, Mohammad Sabokrou, Sai Manoj P. D., Tinoosh Mohsenin, Khaled N. Khasawneh, Liang Zhao, Houman Homayoun, Avesta Sasan
Code-Bridged Classifier (CBC): A Low or Negative Overhead Defense for Making a CNN Classifier Robust Against Adversarial Attacks. ISQED (2020)
Hirenkumar Paneliya, Morteza Hosseini, Avesta Sasan, Houman Homayoun, Tinoosh Mohsenin
CSCMAC - Cyclic Sparsely Connected Neural Network Manycore Accelerator. ISQED (2020)
Han Wang, Hossein Sayadi, Tinoosh Mohsenin, Liang Zhao, Avesta Sasan, Setareh Rafatirad, Houman Homayoun
Mitigating Cache-Based Side-Channel Attacks through Randomization: A Comprehensive System and Architecture Level Analysis. DATE (2020)
Bharat Prakash, Mark Horton, Nicholas R. Waytowich, William David Hairston, Tim Oates, Tinoosh Mohsenin
On the use of Deep Autoencoders for Efficient Embedded Reinforcement Learning. ACM Great Lakes Symposium on VLSI (2019)
Hossein Sayadi, Hosein Mohammadi Makrani, Sai Manoj Pudukotai Dinakarrao, Tinoosh Mohsenin, Avesta Sasan, Setareh Rafatirad, Houman Homayoun
2SMaRT: A Two-Stage Machine Learning-Based Approach for Run-Time Specialized Hardware-Assisted Malware Detection. DATE (2019)
Bharat Prakash, Mohit Khatwani, Nicholas R. Waytowich, Tinoosh Mohsenin
Improving Safety in Reinforcement Learning Using Model-Based Architectures and Human Intervention. FLAIRS Conference (2019)
Morteza Hosseini, Hirenkumar Paneliya, Utteja Kallakuri, Mohit Khatwani, Tinoosh Mohsenin
Minimizing Classification Energy of Binarized Neural Network Inference for Wearable Devices. ISQED (2019)
Maria Malik, Hassan Ghasemzadeh, Tinoosh Mohsenin, Rosario Cammarota, Liang Zhao, Avesta Sasan, Houman Homayoun, Setareh Rafatirad
ECoST: Energy-Efficient Co-Locating and Self-Tuning MapReduce Applications. ICPP (2019)
Morteza Hosseini, Mark Horton, Hiren Paneliya, Utteja Kallakuri, Houman Homayoun, Tinoosh Mohsenin
On the Complexity Reduction of Dense Layers from O(N2) to O(NlogN) with Cyclic Sparsely Connected Layers. DAC (2019)
Hosein Mohammadi Makrani, Hossein Sayadi, Tinoosh Mohsenin, Setareh Rafatirad, Avesta Sasan, Houman Homayoun
XPPE: cross-platform performance estimation of hardware accelerators using machine learning. ASP-DAC (2019)
Colin Shea, Tinoosh Mohsenin
Heterogeneous Scheduling of Deep Neural Networks for Low-power Real-time Designs. ACM J. Emerg. Technol. Comput. Syst. 15 (4) (2019)
Sunil Gandhi, Tim Oates, Tinoosh Mohsenin, Nicholas R. Waytowich
Learning Behaviors from a Single Video Demonstration Using Human Feedback. AAMAS (2019)
Sunil Gandhi, Tim Oates, Tinoosh Mohsenin, Nicholas R. Waytowich
Learning from Observations Using a Single Video Demonstration and Human Feedback. CoRR (2019)
Bharat Prakash, Mark Horton, Nicholas R. Waytowich, William David Hairston, Tim Oates, Tinoosh Mohsenin
On the use of Deep Autoencoders for Efficient Embedded Reinforcement Learning. CoRR (2019)
Bharat Prakash, Mohit Khatwani, Nicholas R. Waytowich, Tinoosh Mohsenin
Improving Safety in Reinforcement Learning Using Model-Based Architectures and Human Intervention. CoRR (2019)
Maria Malik, Katayoun Neshatpour, Setareh Rafatirad, Rajiv V. Joshi, Tinoosh Mohsenin, Hassan Ghasemzadeh, Houman Homayoun
Big vs little core for energy-efficient Hadoop computing. J. Parallel Distributed Comput. 129 (2019)
Ali Jafari, Ashwinkumar Ganesan, Chetan Sai Kumar Thalisetty, Varun Sivasubramanian, Tim Oates, Tinoosh Mohsenin
SensorNet: A Scalable and Low-Power Deep Convolutional Neural Network for Multimodal Data Classification. IEEE Trans. Circuits Syst. I Regul. Pap. (1) (2019)
Lahir Marni, Morteza Hosseini, Jennifer Hopp, Pedram Mohseni, Tinoosh Mohsenin
A Real-Time Wearable FPGA-based Seizure Detection Processor Using MCMC. ISCAS (2018)
Mohammad Hossein Hajkazemi, Mohammad Khavari Tavana, Tinoosh Mohsenin, Houman Homayoun
Heterogeneous HMC+DDRx Memory Management for Performance-Temperature Tradeoffs. ACM J. Emerg. Technol. Comput. Syst. 14 (1) (2018)
Ali Jafari, Morteza Hosseini, Houman Homayoun, Tinoosh Mohsenin
A Scalable and Low Power DCNN for Multimodal Data Classification. ReConFig (2018)
Amey M. Kulkarni, Colin Shea, Tahmid Abtahi, Houman Homayoun, Tinoosh Mohsenin
Low Overhead CS-Based Heterogeneous Framework for Big Data Acceleration. ACM Trans. Embed. Comput. Syst. 17 (1) (2018)
Sunil Gandhi, Tim Oates, Tinoosh Mohsenin, W. David Hairston
Denoising Time Series Data Using Asymmetric Generative Adversarial Networks. PAKDD (3) (2018)
Colin Shea, Adam Page, Tinoosh Mohsenin
SCALENet: A SCalable Low power AccELerator for Real-time Embedded Deep Neural Networks. ACM Great Lakes Symposium on VLSI (2018)
Avesta Sasan, Qi Zhu, Yanzhi Wang, Jae-sun Seo, Tinoosh Mohsenin
Low Power and Trusted Machine Learning. ACM Great Lakes Symposium on VLSI (2018)
Mohit Khatwani, Morteza Hosseini, Hirenkumar Paneliya, Tinoosh Mohsenin, W. David Hairston, Nicholas R. Waytowich
Energy Efficient Convolutional Neural Networks for EEG Artifact Detection. BioCAS (2018)
Lahir Marni, Morteza Hosseini, Tinoosh Mohsenin
MC3A: Markov Chain Monte Carlo ManyCore Accelerator. ACM Great Lakes Symposium on VLSI (2018)
Adwaya Kulkarni, Adam Page, Nasrin Attaran, Ali Jafari, Maria Malik, Houman Homayoun, Tinoosh Mohsenin
An Energy-Efficient Programmable Manycore Accelerator for Personalized Biomedical Applications. IEEE Trans. Very Large Scale Integr. Syst. 26 (1) (2018)
Nasrin Attaran, Abhilash Puranik, Justin Brooks, Tinoosh Mohsenin
Embedded Low-Power Processor for Personalized Stress Detection. IEEE Trans. Circuits Syst. II Express Briefs (12) (2018)
Katayoun Neshatpour, Maria Malik, Avesta Sasan, Setareh Rafatirad, Tinoosh Mohsenin, Hassan Ghasemzadeh, Houman Homayoun
Energy-efficient acceleration of MapReduce applications using FPGAs. J. Parallel Distributed Comput. 119 (2018)
Ali Jafari, Nathanael Buswell, Maysam Ghovanloo, Tinoosh Mohsenin
A Low-Power Wearable Stand-Alone Tongue Drive System for People With Severe Disabilities. IEEE Trans. Biomed. Circuits Syst. 12 (1) (2018)
Ali Jafari, Morteza Hosseini, Adwaya Kulkarni, Chintan Patel, Tinoosh Mohsenin
BiNMAC: Binarized neural Network Manycore ACcelerator. ACM Great Lakes Symposium on VLSI (2018)
Morteza Hosseini, Rashidul Islam, Lahir Marni, Tinoosh Mohsenin
MPT: Multiple Parallel Tempering for High-Throughput MCMC Samplers. SoCC (2018)
Tahmid Abtahi, Colin Shea, Amey M. Kulkarni, Tinoosh Mohsenin
Accelerating Convolutional Neural Network With FFT on Embedded Hardware. IEEE Trans. Very Large Scale Integr. Syst. 26 (9) (2018)
Adam Page, Ali Jafari, Colin Shea, Tinoosh Mohsenin
SPARCNet: A Hardware Accelerator for Efficient Deployment of Sparse Convolutional Networks. ACM J. Emerg. Technol. Comput. Syst. 13 (3) (2017)
Maria Malik, Katayoun Neshatpour, Tinoosh Mohsenin, Avesta Sasan, Houman Homayoun
Big vs little core for energy-efficient Hadoop computing. DATE (2017)
Ali Jafari, Maysam Ghovanloo, Tinoosh Mohsenin
A Real-Time Embedded FPGA Processor for a Stand-Alone Dual-Mode Assistive Device. FCCM (2017)
Ali Jafari, Maysam Ghovanloo, Tinoosh Mohsenin
An embedded FPGA accelerator for a stand-alone dual-mode assistive device. BioCAS (2017)
Amey M. Kulkarni, Colin Shea, Houman Homayoun, Tinoosh Mohsenin
LESS: Big data sketching and Encryption on low power platform. DATE (2017)
Tahmid Abtahi, Amey M. Kulkarni, Tinoosh Mohsenin
Accelerating convolutional neural network with FFT on tiny cores. ISCAS (2017)
Morteza Hosseini, Rashidul Islam, Amey M. Kulkarni, Tinoosh Mohsenin
A Scalable FPGA-Based Accelerator for High-Throughput MCMC Algorithms. FCCM (2017)
J. T. Turner, Adam Page, Tinoosh Mohsenin, Tim Oates
Deep Belief Networks used on High Resolution Multichannel Electroencephalography Data for Seizure Detection. CoRR (2017)
Ali Jafari, Sunil Gandhi, Sri Harsha Konuru, W. David Hairston, Tim Oates, Tinoosh Mohsenin
An EEG artifact identification embedded system using ICA and multi-instance learning. ISCAS (2017)
Adwaya Kulkarni, Tahmid Abtahi, Colin Shea, Amey M. Kulkarni, Tinoosh Mohsenin
PACENet: Energy efficient acceleration for convolutional network on embedded platform. ISCAS (2017)
Amey M. Kulkarni, Tinoosh Mohsenin
Low Overhead Architectures for OMP Compressive Sensing Reconstruction Algorithm. IEEE Trans. Circuits Syst. I Regul. Pap. (6) (2017)
Maria Malik, Farnoud Farahmand, Paul Otto, Nima Akhlaghi, Tinoosh Mohsenin, Siddhartha Sikdar, Houman Homayoun
Architecture Exploration for Energy-Efficient Embedded Vision Applications: From General Purpose Processor to Domain Specific Accelerator. ISVLSI (2016)
Amey M. Kulkarni, Tahmid Abtahi, Emily Smith, Tinoosh Mohsenin
Low Energy Sketching Engines on Many-Core Platform for Big Data Acceleration. ACM Great Lakes Symposium on VLSI (2016)
Asmita Korde-Patel, Richard K. Barry, Tinoosh Mohsenin
Application of Compressive Sensing to Gravitational Microlensing Experiments. Astroinformatics (2016)
Adam Page, Tinoosh Mohsenin
FPGA-Based Reduction Techniques for Efficient Deep Neural Network Deployment. FCCM (2016)

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Publication Activity (10 Years)

Top Topics

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Tinoosh Mohsenin