Tinoosh Mohsenin

167 papers A* 1A 7B 1C 13Misc 10Journal 74Unranked 58

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Embodied Foundation Models at the Edge: A Survey of Deployment Constraints and Mitigation Strategies. CoRR Utkarsh Grover, Ravi Ranjan, Mingyang Mao, Trung Tien Dong, Satvik Praveen, Zhenqi Wu, J. Morris Chang, Tinoosh Mohsenin, Yi Sheng, Agoritsa Polyzou, Eiman Kanjo, Xiaomin Lin
2026	J	`jnl`	Mil-SCORE: Benchmarking Long-Context Geospatial Reasoning and Planning in Large Language Models. CoRR Aadi Palnitkar, Mingyang Mao, Nicholas R. Waytowich, Vinicius G. Goecks, Tinoosh Mohsenin, Xiaomin Lin
2026	J	`jnl`	OA-NBV: Occlusion-Aware Next-Best-View Planning for Human-Centered Active Perception on Mobile Robots. CoRR Boxun Hu, Chang Chang, Jiawei Ge, Man Namgung, Xiaomin Lin, Axel Krieger, Tinoosh Mohsenin
2025	—	`conf`	ATLASv2: LLM-Guided Adaptive Landmark Acquisition and Navigation on the Edge. AAAI Spring Symposia Mikolaj Walczak, Uttej Kallakuri, Tinoosh Mohsenin
2025	J	`jnl`	ATLASv2: LLM-Guided Adaptive Landmark Acquisition and Navigation on the Edge. CoRR Mikolaj Walczak, Uttej Kallakuri, Tinoosh Mohsenin
2025	J	`jnl`	Decentralised Resource Sharing in TinyML: Wireless Bilayer Gossip Parallel SGD for Collaborative Learning. CoRR Ziyuan Bao, Eiman Kanjo, Soumya Banerjee, Hasib-Al Rashid, Tinoosh Mohsenin
2025	Misc	`conf`	E2AR: An Energy-Efficient Augmented Reality Framework for Collaborative Multi-Drone Systems. SEC Mozhgan Navardi, Edward Humes, Tinoosh Mohsenin
2025	J	`jnl`	EDEN: Entorhinal Driven Egocentric Navigation Toward Robotic Deployment. CoRR Mikolaj Walczak, Romina Aalishah, Wyatt Mackey, Brittany Story, David L. Boothe, Nicholas R. Waytowich, Xiaomin Lin, Tinoosh Mohsenin
2025	J	`jnl`	EdgeNavMamba: Mamba Optimized Object Detection for Energy Efficient Edge Devices. CoRR Romina Aalishah, Mozhgan Navardi, Tinoosh Mohsenin
2025	J	`jnl`	Enabling On-Device Medical AI Assistants via Input-Driven Saliency Adaptation. CoRR Uttej Kallakurik, Edward Humes, Rithvik Jonna, Xiaomin Lin, Tinoosh Mohsenin
2025	—	`conf`	GenAI at the Edge: Comprehensive Survey on Empowering Edge Devices. AAAI Spring Symposia Mozhgan Navardi, Romina Aalishah, Yuzhe Fu, Yueqian Lin, Hai Li, Yiran Chen, Tinoosh Mohsenin
2025	J	`jnl`	GenAI at the Edge: Comprehensive Survey on Empowering Edge Devices. CoRR Mozhgan Navardi, Romina Aalishah, Yuzhe Fu, Yueqian Lin, Hai Li, Yiran Chen, Tinoosh Mohsenin
2025	A	`conf`	Invited Paper: BitMedViT: Ternary-Quantized Vision Transformer for Medical AI Assistants on the Edge. ICCAD Mikolaj Walczak, Uttej Kallakuri, Edward Humes, Xiaomin Lin, Tinoosh Mohsenin
2025	—	`conf`	MambaLiteSR: Image Super-Resolution with Low-Rank Mamba Using Knowledge Distillation. ISQED Romina Aalishah, Mozhgan Navardi, Tinoosh Mohsenin
2025	J	`jnl`	MambaLiteSR: Image Super-Resolution with Low-Rank Mamba using Knowledge Distillation. CoRR Romina Aalishah, Mozhgan Navardi, Tinoosh Mohsenin
2025	J	`jnl`	Multi-RAG: A Multimodal Retrieval-Augmented Generation System for Adaptive Video Understanding. CoRR Mingyang Mao, Mariela M. Perez-Cabarcas, Utteja Kallakuri, Nicholas R. Waytowich, Xiaomin Lin, Tinoosh Mohsenin
2025	J	`jnl`	RAFT: Robust Augmentation of FeaTures for Image Segmentation. CoRR Edward Humes, Xiaomin Lin, Uttej Kallakuri, Tinoosh Mohsenin
2025	J	`jnl`	ViT-Reg: Regression-Focused Hardware-Aware Fine-Tuning for ViT on TinyML Platforms. IEEE Des. Test Md Ragib Shaharear, Arnab Neelim Mazumder, Tinoosh Mohsenin
2024	J	`jnl`	Energy-Aware FPGA Implementation of Spiking Neural Network with LIF Neurons. CoRR Asmer Hamid Ali, Mozhgan Navardi, Tinoosh Mohsenin
2024	J	`jnl`	MetaTinyML: End-to-End Metareasoning Framework for TinyML Platforms. IEEE Embed. Syst. Lett. Mozhgan Navardi, Edward Humes, Tinoosh Mohsenin
2024	J	`jnl`	Reg-Tune: A Regression-Focused Fine-Tuning Approach for Profiling Low Energy Consumption and Latency. ACM Trans. Embed. Comput. Syst. Arnab Neelim Mazumder, Farshad Safavi, Maryam Rahnemoonfar, Tinoosh Mohsenin
2024	—	`conf`	Resource-Aware Saliency-Guided Differentiable Pruning for Deep Neural Networks. ACM Great Lakes Symposium on VLSI Uttej Kallakuri, Edward Humes, Tinoosh Mohsenin
2024	J	`jnl`	TinyM CoRR Hasib-Al Rashid, Tinoosh Mohsenin
2024	J	`jnl`	TinyM ACM Trans. Embed. Comput. Syst. Hasib-Al Rashid, Utteja Kallakuri, Tinoosh Mohsenin
2024	J	`jnl`	TinyVQA: Compact Multimodal Deep Neural Network for Visual Question Answering on Resource-Constrained Devices. CoRR Hasib-Al Rashid, Argho Sarkar, Aryya Gangopadhyay, Maryam Rahnemoonfar, Tinoosh Mohsenin
2024	Misc	`conf`	Using LLMs for Augmenting Hierarchical Agents with Common Sense Priors. FLAIRS Bharat Prakash, Tim Oates, Tinoosh Mohsenin
2023	—	`conf`	HAC-POCD: Hardware-Aware Compressed Activity Monitoring and Fall Detector Edge POC Devices. BioCAS Hasib-Al Rashid, Tinoosh Mohsenin
2023	—	`conf`	Harnessing the Power of Explanations for Incremental Training: A LIME-Based Approach. EUSIPCO Arnab Neelim Mazumder, Niall Lyons, Ashutosh Pandey, Avik Santra, Tinoosh Mohsenin
2023	J	`jnl`	LLM Augmented Hierarchical Agents. CoRR Bharat Prakash, Tim Oates, Tinoosh Mohsenin
2023	C	`conf`	MLAE2: Metareasoning for Latency-Aware Energy-Efficient Autonomous Nano-Drones. ISCAS Mozhgan Navardi, Tinoosh Mohsenin
2023	J	`jnl`	MetaE2RL: Toward Meta-Reasoning for Energy-Efficient Multigoal Reinforcement Learning With Squeezed-Edge You Only Look Once. IEEE Micro Mozhgan Navardi, Edward Humes, Tejaswini Manjunath, Tinoosh Mohsenin
2023	J	`jnl`	ReProHRL: Towards Multi-Goal Navigation in the Real World using Hierarchical Agents. CoRR Tejaswini Manjunath, Mozhgan Navardi, Prakhar Dixit, Bharat Prakash, Tinoosh Mohsenin
2023	J	`jnl`	Reg-TuneV2: A Hardware-Aware and Multiobjective Regression-Based Fine-Tuning Approach for Deep Neural Networks on Embedded Platforms. IEEE Micro Arnab Neelim Mazumder, Tinoosh Mohsenin
2023	J	`jnl`	Squeezed Edge YOLO: Onboard Object Detection on Edge Devices. CoRR Edward Humes, Mozhgan Navardi, Tinoosh Mohsenin
2022	J	`jnl`	2022 roadmap on neuromorphic computing and engineering. Neuromorph. Comput. Eng. 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, Nini Pryds
2022	J	`jnl`	A Fast Network Exploration Strategy to Profile Low Energy Consumption for Keyword Spotting. CoRR Arnab Neelim Mazumder, Tinoosh Mohsenin
2022	J	`jnl`	A Hardware Accelerator for Language-Guided Reinforcement Learning. IEEE Des. Test Aidin Shiri, Arnab Neelim Mazumder, Bharat Prakash, Houman Homayoun, Nicholas R. Waytowich, Tinoosh Mohsenin
2022	—	`conf`	An Optimization Framework for Efficient Vision-Based Autonomous Drone Navigation. AICAS Mozhgan Navardi, Aidin Shiri, Edward Humes, Nicholas R. Waytowich, Tinoosh Mohsenin
2022	J	`jnl`	Automatic Detection of Respiratory Symptoms Using a Low-Power Multi-Input CNN Processor. IEEE Des. Test Arnab Neelim Mazumder, Haoran Ren, Hasib-Al Rashid, Morteza Hosseini, Vandana Chandrareddy, Houman Homayoun, Tinoosh Mohsenin
2022	Misc	`conf`	E2EdgeAI: Energy-Efficient Edge Computing for Deployment of Vision-Based DNNs on Autonomous Tiny Drones. SEC Mozhgan Navardi, Edward Humes, Tinoosh Mohsenin
2022	J	`jnl`	E2HRL: An Energy-efficient Hardware Accelerator for Hierarchical Deep Reinforcement Learning. ACM Trans. Design Autom. Electr. Syst. Aidin Shiri, Uttej Kallakuri, Hasib-Al Rashid, Bharat Prakash, Nicholas R. Waytowich, Tim Oates, Tinoosh Mohsenin
2022	J	`jnl`	Efficient Language-Guided Reinforcement Learning for Resource-Constrained Autonomous Systems. IEEE Micro Aidin Shiri, Mozhgan Navardi, Tejaswini Manjunath, Nicholas R. Waytowich, Tinoosh Mohsenin
2022	—	`conf`	Neuromorphic-Enabled Security for IoT. NEWCAS Soheil Salehi, Tyler David Sheaves, Kevin Immanuel Gubbi, Sayed Arash Beheshti, Sai Manoj P. D., Setareh Rafatirad, Avesta Sasan, Tinoosh Mohsenin, Houman Homayoun
2022	J	`jnl`	TinyM CoRR Hasib-Al Rashid, Pretom Roy Ovi, Aryya Gangopadhyay, Tinoosh Mohsenin
2022	J	`jnl`	Towards an Interpretable Hierarchical Agent Framework using Semantic Goals. CoRR Bharat Prakash, Nicholas R. Waytowich, Tim Oates, Tinoosh Mohsenin
2021	J	`jnl`	2021 Roadmap on Neuromorphic Computing and Engineering. CoRR 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, Nini Pryds
2021	J	`jnl`	A Flexible Multichannel EEG Artifact Identification Processor using Depthwise-Separable Convolutional Neural Networks. ACM J. Emerg. Technol. Comput. Syst. Mohit Khatwani, Hasib-Al Rashid, Hirenkumar Paneliya, Mark Horton, Nicholas R. Waytowich, W. David Hairston, Tinoosh Mohsenin
2021	J	`jnl`	A Survey on the Optimization of Neural Network Accelerators for Micro-AI On-Device Inference. IEEE J. Emerg. Sel. Topics Circuits Syst. Arnab Neelim Mazumder, Jian Meng, Hasib-Al Rashid, Utteja Kallakuri, Xin Zhang, Jae-sun Seo, Tinoosh Mohsenin
2021	J	`jnl`	Adaptive Performance Modeling of Data-intensive Workloads for Resource Provisioning in Virtualized Environment. ACM Trans. Model. Perform. Evaluation Comput. Syst. Hosein Mohammadi Makrani, Hossein Sayadi, Najmeh Nazari, Sai Manoj Pudukotai Dinakarrao, Avesta Sasan, Tinoosh Mohsenin, Setareh Rafatirad, Houman Homayoun
2021	J	`jnl`	An Energy Efficient EdgeAI Autoencoder Accelerator for Reinforcement Learning. IEEE Open J. Circuits Syst. Nitheesh Kumar Manjunath, Aidin Shiri, Morteza Hosseini, Bharat Prakash, Nicholas R. Waytowich, Tinoosh Mohsenin
2021	—	`conf`	An Energy-Efficient Hardware Accelerator for Hierarchical Deep Reinforcement Learning. AICAS Aidin Shiri, Bharat Prakash, Arnab Neelim Mazumder, Nicholas R. Waytowich, Tim Oates, Tinoosh Mohsenin
2021	J	`jnl`	Automatic Goal Generation using Dynamical Distance Learning. CoRR Bharat Prakash, Nicholas R. Waytowich, Tinoosh Mohsenin, Tim Oates
2021	J	`jnl`	Binary Precision Neural Network Manycore Accelerator. ACM J. Emerg. Technol. Comput. Syst. Morteza Hosseini, Tinoosh Mohsenin
2021	—	`conf`	CoughNet: A Flexible Low Power CNN-LSTM Processor for Cough Sound Detection. AICAS Hasib-Al Rashid, Arnab Neelim Mazumder, Utteja Panchakshara Kallakuri Niyogi, Tinoosh Mohsenin
2021	J	`jnl`	Cyclic Sparsely Connected Architectures for Compact Deep Convolutional Neural Networks. IEEE Trans. Very Large Scale Integr. Syst. Morteza Hosseini, Nitheesh Kumar Manjunath, Bharat Prakash, Arnab Neelim Mazumder, Vandana Chandrareddy, Houman Homayoun, Tinoosh Mohsenin
2021	—	`conf`	Diverse Knowledge Distillation (DKD): A Solution for Improving The Robustness of Ensemble Models Against Adversarial Attacks. ISQED Ali Mirzaeian, Jana Kosecka, Houman Homayoun, Tinoosh Mohsenin, Avesta Sasan
2021	—	`conf`	Evaluation of Machine Learning-based Detection against Side-Channel Attacks on Autonomous Vehicle. AICAS Han Wang, Soheil Salehi, Hossein Sayadi, Avesta Sasan, Tinoosh Mohsenin, Sai Manoj P. D., Setareh Rafatirad, Houman Homayoun
2021	J	`jnl`	Guest Editorial Cross-Layer Designs, Methodologies, and Systems to Enable Micro AI for On-Device Intelligence. IEEE J. Emerg. Sel. Topics Circuits Syst. Tinoosh Mohsenin, Inna Partin-Vaisband, Houman Homayoun, Jae-sun Seo, Xin Zhang
2021	J	`jnl`	Interactive Hierarchical Guidance using Language. CoRR Bharat Prakash, Nicholas R. Waytowich, Tim Oates, Tinoosh Mohsenin
2021	J	`jnl`	QS-NAS: Optimally Quantized Scaled Architecture Search to Enable Efficient On-Device Micro-AI. IEEE J. Emerg. Sel. Topics Circuits Syst. Morteza Hosseini, Tinoosh Mohsenin
2020	—	`conf`	A Low-Power LSTM Processor for Multi-Channel Brain EEG Artifact Detection. ISQED Hasib-Al Rashid, Nitheesh Kumar Manjunath, Hirenkumar Paneliya, Morteza Hosseini, W. David Hairston, Tinoosh Mohsenin
2020	—	`conf`	An Energy-Efficient Low Power LSTM Processor for Human Activity Monitoring. SoCC Arnab Neelim Mazumder, Hasib-Al Rashid, Tinoosh Mohsenin
2020	—	`conf`	CSCMAC - Cyclic Sparsely Connected Neural Network Manycore Accelerator. ISQED Hirenkumar Paneliya, Morteza Hosseini, Avesta Sasan, Houman Homayoun, Tinoosh Mohsenin
2020	J	`jnl`	Cluster-Based Partitioning of Convolutional Neural Networks, A Solution for Computational Energy and Complexity Reduction. CoRR Ali Mirzaeian, Masoud PourReza, Mohammad Sabokrou, Ashkan Vakil, Tinoosh Mohsenin, Houman Homayoun, Avesta Sasan
2020	—	`conf`	Code-Bridged Classifier (CBC): A Low or Negative Overhead Defense for Making a CNN Classifier Robust Against Adversarial Attacks. ISQED Farnaz Behnia, Ali Mirzaeian, Mohammad Sabokrou, Sai Manoj P. D., Tinoosh Mohsenin, Khaled N. Khasawneh, Liang Zhao, Houman Homayoun, Avesta Sasan
2020	J	`jnl`	Code-Bridged Classifier (CBC): A Low or Negative Overhead Defense for Making a CNN Classifier Robust Against Adversarial Attacks. CoRR Farnaz Behnia, Ali Mirzaeian, Mohammad Sabokrou, Sai Manoj P. D., Tinoosh Mohsenin, Khaled N. Khasawneh, Liang Zhao, Houman Homayoun, Avesta Sasan
2020	—	`conf`	Comprehensive Evaluation of Machine Learning Countermeasures for Detecting Microarchitectural Side-Channel Attacks. ACM Great Lakes Symposium on VLSI Han Wang, Hossein Sayadi, Avesta Sasan, Setareh Rafatirad, Tinoosh Mohsenin, Houman Homayoun
2020	—	`conf`	Compressive Sensing Based Data Acquisition Architecture for Transient Stellar Events in Crowded Star Fields. I2MTC Asmita Korde-Patel, Richard K. Barry, Tinoosh Mohsenin
2020	—	`conf`	End-to-end Scalable and Low Power Multi-modal CNN for Respiratory-related Symptoms Detection. SoCC Haoran Ren, Arnab Neelim Mazumder, Hasib-Al Rashid, Vandana Chandrareddy, Aidin Shiri, Nitheesh Kumar Manjunath, Tinoosh Mohsenin
2020	—	`conf`	Energy-Efficient Hardware for Language Guided Reinforcement Learning. ACM Great Lakes Symposium on VLSI Aidin Shiri, Arnab Neelim Mazumder, Bharat Prakash, Nitheesh Kumar Manjunath, Houman Homayoun, Avesta Sasan, Nicholas R. Waytowich, Tinoosh Mohsenin
2020	—	`ed.`	GLSVLSI '20: Great Lakes Symposium on VLSI 2020, Virtual Event, China, September 7-9, 2020 ACM Great Lakes Symposium on VLSI Tinoosh Mohsenin, Weisheng Zhao, Yiran Chen, Onur Mutlu
2020	—	`conf`	Guiding Safe Reinforcement Learning Policies Using Structured Language Constraints. SafeAI@AAAI Bharat Prakash, Nicholas R. Waytowich, Ashwinkumar Ganesan, Tim Oates, Tinoosh Mohsenin
2020	J	`jnl`	Learning Diverse Latent Representations for Improving the Resilience to Adversarial Attacks. CoRR Ali Mirzaeian, Mohammad Sabokrou, Mohammad Khalooei, Jana Kosecka, Houman Homayoun, Tinoosh Mohsenin, Avesta Sasan
2020	A	`conf`	Mitigating Cache-Based Side-Channel Attacks through Randomization: A Comprehensive System and Architecture Level Analysis. DATE Han Wang, Hossein Sayadi, Tinoosh Mohsenin, Liang Zhao, Avesta Sasan, Setareh Rafatirad, Houman Homayoun
2020	J	`jnl`	Neural Networks for Pulmonary Disease Diagnosis using Auditory and Demographic Information. CoRR Morteza Hosseini, Haoran Ren, Hasib-Al Rashid, Arnab Neelim Mazumder, Bharat Prakash, Tinoosh Mohsenin
2020	—	`conf`	StealthMiner: Specialized Time Series Machine Learning for Run-Time Stealthy Malware Detection based on Microarchitectural Features. ACM Great Lakes Symposium on VLSI Hossein Sayadi, Yifeng Gao, Hosein Mohammadi Makrani, Tinoosh Mohsenin, Avesta Sasan, Setareh Rafatirad, Jessica Lin, Houman Homayoun
2019	A	`conf`	2SMaRT: A Two-Stage Machine Learning-Based Approach for Run-Time Specialized Hardware-Assisted Malware Detection. DATE Hossein Sayadi, Hosein Mohammadi Makrani, Sai Manoj Pudukotai Dinakarrao, Tinoosh Mohsenin, Avesta Sasan, Setareh Rafatirad, Houman Homayoun
2019	J	`jnl`	Big vs little core for energy-efficient Hadoop computing. J. Parallel Distributed Comput. Maria Malik, Katayoun Neshatpour, Setareh Rafatirad, Rajiv V. Joshi, Tinoosh Mohsenin, Hassan Ghasemzadeh, Houman Homayoun
2019	B	`conf`	ECoST: Energy-Efficient Co-Locating and Self-Tuning MapReduce Applications. ICPP Maria Malik, Hassan Ghasemzadeh, Tinoosh Mohsenin, Rosario Cammarota, Liang Zhao, Avesta Sasan, Houman Homayoun, Setareh Rafatirad
2019	J	`jnl`	Heterogeneous Scheduling of Deep Neural Networks for Low-power Real-time Designs. ACM J. Emerg. Technol. Comput. Syst. Colin Shea, Tinoosh Mohsenin
2019	Misc	`conf`	Improving Safety in Reinforcement Learning Using Model-Based Architectures and Human Intervention. FLAIRS Bharat Prakash, Mohit Khatwani, Nicholas R. Waytowich, Tinoosh Mohsenin
2019	J	`jnl`	Improving Safety in Reinforcement Learning Using Model-Based Architectures and Human Intervention. CoRR Bharat Prakash, Mohit Khatwani, Nicholas R. Waytowich, Tinoosh Mohsenin
2019	A	`conf`	Learning Behaviors from a Single Video Demonstration Using Human Feedback. AAMAS Sunil Gandhi, Tim Oates, Tinoosh Mohsenin, Nicholas R. Waytowich
2019	J	`jnl`	Learning from Observations Using a Single Video Demonstration and Human Feedback. CoRR Sunil Gandhi, Tim Oates, Tinoosh Mohsenin, Nicholas R. Waytowich
2019	—	`conf`	Minimizing Classification Energy of Binarized Neural Network Inference for Wearable Devices. ISQED Morteza Hosseini, Hirenkumar Paneliya, Utteja Kallakuri, Mohit Khatwani, Tinoosh Mohsenin
2019	A*	`conf`	On the Complexity Reduction of Dense Layers from O(N2) to O(NlogN) with Cyclic Sparsely Connected Layers. DAC Morteza Hosseini, Mark Horton, Hiren Paneliya, Uttej Kallakuri, Houman Homayoun, Tinoosh Mohsenin
2019	—	`conf`	On the use of Deep Autoencoders for Efficient Embedded Reinforcement Learning. ACM Great Lakes Symposium on VLSI Bharat Prakash, Mark Horton, Nicholas R. Waytowich, William David Hairston, Tim Oates, Tinoosh Mohsenin
2019	J	`jnl`	On the use of Deep Autoencoders for Efficient Embedded Reinforcement Learning. CoRR Bharat Prakash, Mark Horton, Nicholas R. Waytowich, William David Hairston, Tim Oates, Tinoosh Mohsenin
2019	—	`ed.`	Proceedings of the 2019 on Great Lakes Symposium on VLSI, GLSVLSI 2019, Tysons Corner, VA, USA, May 9-11, 2019 ACM Great Lakes Symposium on VLSI Houman Homayoun, Baris Taskin, Tinoosh Mohsenin, Weisheng Zhao
2019	—	`ch.`	SENSE: Sketching Framework for Big Data Acceleration on Low Power Embedded Cores. Security and Fault Tolerance in Internet of Things Amey M. Kulkarni, Tinoosh Mohsenin
2019	J	`jnl`	SensorNet: A Scalable and Low-Power Deep Convolutional Neural Network for Multimodal Data Classification. IEEE Trans. Circuits Syst. I Regul. Pap. Ali Jafari, Ashwinkumar Ganesan, Chetan Sai Kumar Thalisetty, Varun Sivasubramanian, Tim Oates, Tinoosh Mohsenin
2019	—	`conf`	XPPE: cross-platform performance estimation of hardware accelerators using machine learning. ASP-DAC Hosein Mohammadi Makrani, Hossein Sayadi, Tinoosh Mohsenin, Setareh Rafatirad, Avesta Sasan, Houman Homayoun
2018	J	`jnl`	A Low-Power Wearable Stand-Alone Tongue Drive System for People With Severe Disabilities. IEEE Trans. Biomed. Circuits Syst. Ali Jafari, Nathanael Buswell, Maysam Ghovanloo, Tinoosh Mohsenin
2018	C	`conf`	A Real-Time Wearable FPGA-based Seizure Detection Processor Using MCMC. ISCAS Lahir Marni, Morteza Hosseini, Jennifer Hopp, Pedram Mohseni, Tinoosh Mohsenin
2018	—	`conf`	A Scalable and Low Power DCNN for Multimodal Data Classification. ReConFig Ali Jafari, Morteza Hosseini, Houman Homayoun, Tinoosh Mohsenin
2018	J	`jnl`	Accelerating Convolutional Neural Network With FFT on Embedded Hardware. IEEE Trans. Very Large Scale Integr. Syst. Tahmid Abtahi, Colin Shea, Amey M. Kulkarni, Tinoosh Mohsenin
2018	J	`jnl`	An Energy-Efficient Programmable Manycore Accelerator for Personalized Biomedical Applications. IEEE Trans. Very Large Scale Integr. Syst. Adwaya Kulkarni, Adam Page, Nasrin Attaran, Ali Jafari, Maria Malik, Houman Homayoun, Tinoosh Mohsenin
2018	—	`conf`	BiNMAC: Binarized neural Network Manycore ACcelerator. ACM Great Lakes Symposium on VLSI Ali Jafari, Morteza Hosseini, Adwaya Kulkarni, Chintan Patel, Tinoosh Mohsenin
2018	—	`conf`	Denoising Time Series Data Using Asymmetric Generative Adversarial Networks. PAKDD (3) Sunil Gandhi, Tim Oates, Tinoosh Mohsenin, W. David Hairston
2018	J	`jnl`	Embedded Low-Power Processor for Personalized Stress Detection. IEEE Trans. Circuits Syst. II Express Briefs Nasrin Attaran, Abhilash Puranik, Justin Brooks, Tinoosh Mohsenin
2018	—	`conf`	Energy Efficient Convolutional Neural Networks for EEG Artifact Detection. BioCAS Mohit Khatwani, Morteza Hosseini, Hirenkumar Paneliya, Tinoosh Mohsenin, W. David Hairston, Nicholas R. Waytowich
2018	J	`jnl`	Energy-efficient acceleration of MapReduce applications using FPGAs. J. Parallel Distributed Comput. Katayoun Neshatpour, Maria Malik, Avesta Sasan, Setareh Rafatirad, Tinoosh Mohsenin, Hassan Ghasemzadeh, Houman Homayoun
2018	J	`jnl`	Heterogeneous HMC+DDRx Memory Management for Performance-Temperature Tradeoffs. ACM J. Emerg. Technol. Comput. Syst. Mohammad Hossein Hajkazemi, Mohammad Khavari Tavana, Tinoosh Mohsenin, Houman Homayoun
2018	J	`jnl`	Low Overhead CS-Based Heterogeneous Framework for Big Data Acceleration. ACM Trans. Embed. Comput. Syst. Amey M. Kulkarni, Colin Shea, Tahmid Abtahi, Houman Homayoun, Tinoosh Mohsenin
2018	—	`conf`	Low Power and Trusted Machine Learning. ACM Great Lakes Symposium on VLSI Avesta Sasan, Qi Zhu, Yanzhi Wang, Jae-sun Seo, Tinoosh Mohsenin
2018	—	`conf`	MC3A: Markov Chain Monte Carlo ManyCore Accelerator. ACM Great Lakes Symposium on VLSI Lahir Marni, Morteza Hosseini, Tinoosh Mohsenin
2018	—	`conf`	MPT: Multiple Parallel Tempering for High-Throughput MCMC Samplers. SoCC Morteza Hosseini, Rashidul Islam, Lahir Marni, Tinoosh Mohsenin
2018	—	`conf`	SCALENet: A SCalable Low power AccELerator for Real-time Embedded Deep Neural Networks. ACM Great Lakes Symposium on VLSI Colin Shea, Adam Page, Tinoosh Mohsenin
2017	Misc	`conf`	A Real-Time Embedded FPGA Processor for a Stand-Alone Dual-Mode Assistive Device. FCCM Ali Jafari, Maysam Ghovanloo, Tinoosh Mohsenin
2017	Misc	`conf`	A Scalable FPGA-Based Accelerator for High-Throughput MCMC Algorithms. FCCM Morteza Hosseini, Rashidul Islam, Amey M. Kulkarni, Tinoosh Mohsenin
2017	C	`conf`	Accelerating convolutional neural network with FFT on tiny cores. ISCAS Tahmid Abtahi, Amey M. Kulkarni, Tinoosh Mohsenin
2017	C	`conf`	An EEG artifact identification embedded system using ICA and multi-instance learning. ISCAS Ali Jafari, Sunil Gandhi, Sri Harsha Konuru, W. David Hairston, Tim Oates, Tinoosh Mohsenin
2017	—	`conf`	An embedded FPGA accelerator for a stand-alone dual-mode assistive device. BioCAS Ali Jafari, Maysam Ghovanloo, Tinoosh Mohsenin
2017	A	`conf`	Big vs little core for energy-efficient Hadoop computing. DATE Maria Malik, Katayoun Neshatpour, Tinoosh Mohsenin, Avesta Sasan, Houman Homayoun
2017	J	`jnl`	Deep Belief Networks used on High Resolution Multichannel Electroencephalography Data for Seizure Detection. CoRR J. T. Turner, Adam Page, Tinoosh Mohsenin, Tim Oates
2017	A	`conf`	LESS: Big data sketching and Encryption on low power platform. DATE Amey M. Kulkarni, Colin Shea, Houman Homayoun, Tinoosh Mohsenin
2017	J	`jnl`	Low Overhead Architectures for OMP Compressive Sensing Reconstruction Algorithm. IEEE Trans. Circuits Syst. I Regul. Pap. Amey M. Kulkarni, Tinoosh Mohsenin
2017	C	`conf`	PACENet: Energy efficient acceleration for convolutional network on embedded platform. ISCAS Adwaya Kulkarni, Tahmid Abtahi, Colin Shea, Amey M. Kulkarni, Tinoosh Mohsenin
2017	J	`jnl`	SPARCNet: A Hardware Accelerator for Efficient Deployment of Sparse Convolutional Networks. ACM J. Emerg. Technol. Comput. Syst. Adam Page, Ali Jafari, Colin Shea, Tinoosh Mohsenin
2016	—	`conf`	A low-power multi-physiological monitoring processor for stress detection. IEEE SENSORS Nasrin Attaran, Justin Brooks, Tinoosh Mohsenin
2016	—	`conf`	Adaptive real-time Trojan detection framework through machine learning. HOST Amey M. Kulkarni, Youngok K. Pino, Tinoosh Mohsenin
2016	—	`conf`	Application of Compressive Sensing to Gravitational Microlensing Experiments. Astroinformatics Asmita Korde-Patel, Richard K. Barry, Tinoosh Mohsenin
2016	—	`conf`	Architecture Exploration for Energy-Efficient Embedded Vision Applications: From General Purpose Processor to Domain Specific Accelerator. ISVLSI Maria Malik, Farnoud Farahmand, Paul Otto, Nima Akhlaghi, Tinoosh Mohsenin, Siddhartha Sikdar, Houman Homayoun
2016	Misc	`conf`	CS-Based Secured Big Data Processing on FPGA. FCCM Amey M. Kulkarni, Ali Jafari, Colin Shea, Tinoosh Mohsenin
2016	Misc	`conf`	FPGA-Based Reduction Techniques for Efficient Deep Neural Network Deployment. FCCM Adam Page, Tinoosh Mohsenin
2016	—	`conf`	Low Energy Sketching Engines on Many-Core Platform for Big Data Acceleration. ACM Great Lakes Symposium on VLSI Amey M. Kulkarni, Tahmid Abtahi, Emily Smith, Tinoosh Mohsenin
2016	—	`conf`	Low-Power Manycore Accelerator for Personalized Biomedical Applications. ACM Great Lakes Symposium on VLSI Adam Page, Nasrin Attaran, Colin Shea, Houman Homayoun, Tinoosh Mohsenin
2016	J	`jnl`	Real-Time Anomaly Detection Framework for Many-Core Router through Machine-Learning Techniques. ACM J. Emerg. Technol. Comput. Syst. Amey M. Kulkarni, Youngok K. Pino, Matthew French, Tinoosh Mohsenin
2016	—	`conf`	SVM-based real-time hardware Trojan detection for many-core platform. ISQED Amey M. Kulkarni, Youngok K. Pino, Tinoosh Mohsenin
2016	C	`conf`	Sketching-based high-performance biomedical big data processing accelerator. ISCAS Amey M. Kulkarni, Ali Jafari, Chris Sagedy, Tinoosh Mohsenin
2016	C	`conf`	Wearable seizure detection using convolutional neural networks with transfer learning. ISCAS Adam Page, Colin Shea, Tinoosh Mohsenin
2015	J	`jnl`	A Flexible Multichannel EEG Feature Extractor and Classifier for Seizure Detection. IEEE Trans. Circuits Syst. II Express Briefs Adam Page, Chris Sagedy, Emily Smith, Nasrin Attaran, Tim Oates, Tinoosh Mohsenin
2015	—	`conf`	A low power seizure detection processor based on direct use of compressively-sensed data and employing a deterministic random matrix. BioCAS Ali Jafari, Adam Page, Chris Sagedy, Emily Smith, Tinoosh Mohsenin
2015	C	`conf`	Accelerating compressive sensing reconstruction OMP algorithm with CPU, GPU, FPGA and domain specific many-core. ISCAS Amey M. Kulkarni, Tinoosh Mohsenin
2015	—	`conf`	An ultra low power feature extraction and classification system for wearable seizure detection. EMBC Adam Page, Siddharth Pramod, Tim Oates, Tinoosh Mohsenin
2015	—	`conf`	Live demonstration: Towards an ultra low power on-board processor for Tongue Drive System. BioCAS Ali Jafari, Nathanael Buswell, Adam Page, Tinoosh Mohsenin, Md. Nazmus Sahadat, Maysam Ghovanloo
2015	J	`jnl`	Toward an Ultralow-Power Onboard Processor for Tongue Drive System. IEEE Trans. Circuits Syst. II Express Briefs Sina Viseh, Maysam Ghovanloo, Tinoosh Mohsenin
2015	—	`conf`	Utilizing deep neural nets for an embedded ECG-based biometric authentication system. BioCAS Adam Page, Amey M. Kulkarni, Tinoosh Mohsenin
2014	—	`conf`	A parallel and reconfigurable architecture for efficient OMP compressive sensing reconstruction. ACM Great Lakes Symposium on VLSI Amey M. Kulkarni, Houman Homayoun, Tinoosh Mohsenin
2014	Misc	`conf`	Comparing Raw Data and Feature Extraction for Seizure Detection with Deep Learning Methods. FLAIRS Adam Page, J. T. Turner, Tinoosh Mohsenin, Tim Oates
2014	—	`conf`	Deep Belief Networks Used on High Resolution Multichannel Electroencephalography Data for Seizure Detection. AAAI Spring Symposia J. T. Turner, Adam Page, Tinoosh Mohsenin, Tim Oates
2014	A	`conf`	Energy-efficient mapping of biomedical applications on domain-specific accelerator under process variation. ISLPED Mohammad Khavari Tavana, Amey M. Kulkarni, Abbas Rahimi, Tinoosh Mohsenin, Houman Homayoun
2014	—	`conf`	Polarization-insensitive phase-transmultiplexing of CSRZ-OOK and RZ-BPSK to RZ-QPSK via XPM in a PCF. OFC Brice M. Cannon, Tanvir Mahmood, William Astar, Paul Boudra, Tinoosh Mohsenin, Gary M. Carter
2014	—	`conf`	Reconfigurable STT-NV LUT-based functional units to improve performance in general-purpose processors. ACM Great Lakes Symposium on VLSI Adarsh Reddy Ashammagari, Hamid Mahmoodi, Tinoosh Mohsenin, Houman Homayoun
2013	—	`conf`	A 64-core platform for biomedical signal processing. ISQED Jordan Bisasky, Houman Homayoun, Farhang Yazdani, Tinoosh Mohsenin
2013	—	`conf`	An efficient & reconfigurable FPGA and ASIC implementation of a spectral Doppler ultrasound imaging system. ASAP Adam Page, Tinoosh Mohsenin
2013	J	`jnl`	LDPC Decoder with an Adaptive Wordwidth Datapath for Energy and BER Co-Optimization. VLSI Design Tinoosh Mohsenin, Houshmand Shirani-mehr, Bevan M. Baas
2013	Misc	`conf`	Low-complexity FPGA implementation of compressive sensing reconstruction. ICNC Jérôme L. V. M. Stanislaus, Tinoosh Mohsenin
2012	C	`conf`	A many-core platform implemented for multi-channel seizure detection. ISCAS Jordan Bisasky, Darin Chandler, Tinoosh Mohsenin
2012	C	`conf`	High performance compressive sensing reconstruction hardware with QRD process. ISCAS Jérôme L. V. M. Stanislaus, Tinoosh Mohsenin
2011	—	`conf`	A reduced routing network architecture for partial parallel LDPC decoders. ACSCC Houshmand Shirani-mehr, Tinoosh Mohsenin, Bevan M. Baas
2011	C	`conf`	Low power LDPC decoder with efficient stopping scheme for undecodable blocks. ISCAS Tinoosh Mohsenin, Houshmand Shirani-mehr, Bevan M. Baas
2010	J	`jnl`	A Low-Complexity Message-Passing Algorithm for Reduced Routing Congestion in LDPC Decoders. IEEE Trans. Circuits Syst. I Regul. Pap. Tinoosh Mohsenin, Dean Nguyen Truong, Bevan M. Baas
2010	J	`jnl`	A Split-Decoding Message Passing Algorithm for Low Density Parity Check Decoders. J. Signal Process. Syst. Tinoosh Mohsenin, Bevan M. Baas
2009	J	`jnl`	A 167-Processor Computational Platform in 65 nm CMOS. IEEE J. Solid State Circuits Dean Nguyen Truong, Wayne H. Cheng, Tinoosh Mohsenin, Zhiyi Yu, Anthony T. Jacobson, Gouri Landge, Michael J. Meeuwsen, Christine Watnik, Anh Thien Tran, Zhibin Xiao, Eric W. Work, Jeremy W. Webb, Paul Vincent Mejia, Bevan M. Baas
2009	—	`conf`	An Improved Split-Row Threshold Decoding Algorithm for LDPC Codes. ICC Tinoosh Mohsenin, Dean Truong, Bevan M. Baas
2009	C	`conf`	Multi-Split-Row Threshold Decoding Implementations for LDPC Codes. ISCAS Tinoosh Mohsenin, Dean Nguyen Truong, Bevan M. Baas
2008	—	`conf`	A thresholding algorithm for improved Split-Row decoding of LDPC codes. ACSCC Tinoosh Mohsenin, Pascal Urard, Bevan M. Baas
2008	J	`jnl`	Architecture and Evaluation of an Asynchronous Array of Simple Processors. J. Signal Process. Syst. Zhiyi Yu, Michael J. Meeuwsen, Ryan W. Apperson, Omar Sattari, Michael A. Lai, Jeremy W. Webb, Eric W. Work, Tinoosh Mohsenin, Bevan M. Baas
2008	J	`jnl`	AsAP: An Asynchronous Array of Simple Processors. IEEE J. Solid State Circuits Zhiyi Yu, Michael J. Meeuwsen, Ryan W. Apperson, Omar Sattari, Michael A. Lai, Jeremy W. Webb, Eric W. Work, Dean Truong, Tinoosh Mohsenin, Bevan M. Baas
2007	J	`jnl`	A Scalable Dual-Clock FIFO for Data Transfers Between Arbitrary and Haltable Clock Domains. IEEE Trans. Very Large Scale Integr. Syst. Ryan W. Apperson, Zhiyi Yu, Michael J. Meeuwsen, Tinoosh Mohsenin, Bevan M. Baas
2007	J	`jnl`	AsAP: A Fine-Grained Many-Core Platform for DSP Applications. IEEE Micro Bevan M. Baas, Zhiyi Yu, Michael J. Meeuwsen, Omar Sattari, Ryan W. Apperson, Eric W. Work, Jeremy W. Webb, Michael A. Lai, Tinoosh Mohsenin, Dean Truong, Jason Cheung
2007	—	`conf`	High-Throughput LDPC Decoders Using A Multiple Split-Row Method. ICASSP (2) Tinoosh Mohsenin, Bevan M. Baas
2006	—	`conf`	An asynchronous array of simple processors for dsp applications. ISSCC Zhiyi Yu, Michael J. Meeuwsen, Ryan W. Apperson, Omar Sattari, Michael A. Lai, Jeremy W. Webb, Eric W. Work, Tinoosh Mohsenin, Mandeep Singh, Bevan M. Baas
2006	—	`conf`	Hardware and applications of AsAP: An asynchronous array of simple processors. Hot Chips Symposium Bevan M. Baas, Zhiyi Yu, Michael J. Meeuwsen, Omar Sattari, Ryan W. Apperson, Eric W. Work, Jeremy W. Webb, Michael A. Lai, Daniel Gurman, Chi Chen, Jason Cheung, Dean Truong, Tinoosh Mohsenin
2006	C	`conf`	Split-Row: A Reduced Complexity, High Throughput LDPC Decoder Architecture. ICCD Tinoosh Mohsenin, Bevan M. Baas
2003	—	`conf`	VALID: Custom ASIC Verification and FPGA Education Platform. MSE Patrick Murphy, J. Patrick Frantz, Erik Welsh, Ricky Hardy, Tinoosh Mohsenin, Joseph R. Cavallaro