Ramtin Zand - RankMe

99 papers A* 4A 2C 8Misc 1Journal 55Unranked 29

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	A Decomposition-Based Memristive Crossbar Solver and FPGA-Accelerated Hardware Implementation. ACM Great Lakes Symposium on VLSI Suyash Vardhan Singh, Anzhelika Kolinko, Md Hasibul Amin, Ramtin Zand, Jason D. Bakos
2025	—	`conf`	Accelerating Hardware-Aware NAS with ML-Based Edge GPU Performance Modeling. COINS Aishneet Juneja, Matthew Grenier, Md Hasibul Amin, Ramtin Zand
2025	J	`jnl`	Amdahl's Law for LLMs: A Throughput-Centric Analysis of Extreme LLM Quantization. Trans. Mach. Learn. Res. Jinendra Malekar, Ramtin Zand
2025	—	`conf`	CrossNAS: A Cross-Layer Neural Architecture Search Framework for PIM Systems. ACM Great Lakes Symposium on VLSI Md Hasibul Amin, Mohammadreza Mohammadi, Jason D. Bakos, Ramtin Zand
2025	J	`jnl`	CrossNAS: A Cross-Layer Neural Architecture Search Framework for PIM Systems. CoRR Md Hasibul Amin, Mohammadreza Mohammadi, Jason D. Bakos, Ramtin Zand
2025	J	`jnl`	FedChip: Federated LLM for Artificial Intelligence Accelerator Chip Design. CoRR Mahmoud Nazzal, Khoa Nguyen, Deepak Vungarala, Ramtin Zand, Shaahin Angizi, NhatHai Phan, Abdallah Khreishah
2025	—	`conf`	From Pixels to Reasoning: A Cross-Layer Photonic Design for Edge Visual Intelligence. ISVLSI Deniz Najafi, Mehrdad Morsali, Hamza Errahmouni Barkam, Brendan Reidy, Sepehr Tabrizchi, Arman Roohi, Mahdi Nikdast, Ramtin Zand, Mohsen Imani, Shaahin Angizi
2025	—	`conf`	From Prompt to Accelerator: A Perspective on LLM-Based Analog In-Memory Accelerator Design Automation. ACM Great Lakes Symposium on VLSI Deepak Vungarala, Md Hasibul Amin, Arman Roohi, Arnob Ghosh, Ramtin Zand, Shaahin Angizi
2025	J	`jnl`	LIMCA: LLM for Automating Analog In-Memory Computing Architecture Design Exploration. CoRR Deepak Vungarala, Md Hasibul Amin, Pietro Mercati, Arnob Ghosh, Arman Roohi, Ramtin Zand, Shaahin Angizi
2025	Misc	`conf`	LLM-IMC: Automating Analog In-Memory Computing Architecture Generation with Large Language Models. FCCM Deepak Vungarala, Md Hasibul Amin, Pietro Mercati, Arman Roohi, Ramtin Zand, Shaahin Angizi
2025	—	`conf`	LLMPi: Optimizing LLMs for High-Throughput on Raspberry Pi. CVPR Workshops Mahsa Ardakani, Jinendra Malekar, Ramtin Zand
2025	J	`jnl`	LLMPi: Optimizing LLMs for High-Throughput on Raspberry Pi. CoRR Mahsa Ardakani, Jinendra Malekar, Ramtin Zand
2025	J	`jnl`	Learnable Sparsification of Die-to-Die Communication via Spike-Based Encoding. CoRR Joshua Nardone, Ruijie Zhu, Joseph Callenes, Mohammed E. Elbtity, Ramtin Zand, Jason Eshraghian
2025	—	`conf`	Magnetic In/Near-Sensor Architectures: From Raw Sensing to Smart Processing. ACM Great Lakes Symposium on VLSI Sepehr Tabrizchi, Ali Shafiee Sarvestani, Md Hasibul Amin, Deniz Najafi, Shaahin Angizi, Ramtin Zand, Arman Roohi
2025	—	`conf`	Multi-Modal Vision at the Edge: Toward Low-Latency Perception for Autonomous Systems. COINS Lily Lamb, Mohammadreza Mohammadi, Ramtin Zand
2025	A*	`conf`	NSF-MAP: Neurosymbolic Multimodal Fusion for Robust and Interpretable Anomaly Prediction in Assembly Pipelines. IJCAI Chathurangi Shyalika, Renjith Prasad, Fadi El Kalach, Revathy Venkataramanan, Ramtin Zand, Ramy F. Harik, Amit P. Sheth
2025	J	`jnl`	NSF-MAP: Neurosymbolic Multimodal Fusion for Robust and Interpretable Anomaly Prediction in Assembly Pipelines. CoRR Chathurangi Shyalika, Renjith Prasad, Fadi El Kalach, Revathy Venkataramanan, Ramtin Zand, Ramy F. Harik, Amit P. Sheth
2025	J	`jnl`	PIM-LLM: A High-Throughput Hybrid PIM Architecture for 1-bit LLMs. CoRR Jinendra Malekar, Peyton Chandarana, Md Hasibul Amin, Mohammed E. Elbtity, Ramtin Zand
2025	—	`conf`	PixelPrune: Optimizing AIoT Vision Systems via In-Sensor Segmentation and Adaptive Data Transfer. ACM Great Lakes Symposium on VLSI Mohammadreza Mohammadi, Mehrdad Morsali, Sepehr Tabrizchi, Brendan Reidy, Arman Roohi, Shaahin Angizi, Ramtin Zand
2025	C	`conf`	Rep Smarter, Not Harder: AI Hypertrophy Coaching with Wearable Sensors and Edge Neural Networks. ICMLA Grant King, Musa Azeem, Savannah Noblitt, Ramtin Zand, Homayoun Valafar
2025	J	`jnl`	Rep Smarter, Not Harder: AI Hypertrophy Coaching with Wearable Sensors and Edge Neural Networks. CoRR Grant King, Musa Azeem, Savannah Noblitt, Ramtin Zand, Homayoun Valafar
2025	A*	`conf`	ResISC: Residue Number System-Based Integrated Sensing and Computing for Efficient Edge AI. DAC Sepehr Tabrizchi, Samin Sohrabi, Mohamadreza Mohammadi, Ramtin Zand, Shaahin Angizi, Arman Roohi
2025	J	`jnl`	TPU-Gen: LLM-Driven Custom Tensor Processing Unit Generator. CoRR Deepak Vungarala, Mohammed E. Elbtity, Sumiya Syed, Sakila Alam, Kartik Pandit, Arnob Ghosh, Ramtin Zand, Shaahin Angizi
2024	C	`conf`	AssemAI: Interpretable Image-Based Anomaly Detection for Manufacturing Pipelines. ICMLA Renjith Prasad, Chathurangi Shyalika, Fadi El Kalach, Revathy Venkataramanan, Ramtin Zand, Ramy F. Harik, Amit P. Sheth
2024	J	`jnl`	AssemAI: Interpretable Image-Based Anomaly Detection for Manufacturing Pipelines. CoRR Renjith Prasad, Chathurangi Shyalika, Ramtin Zand, Fadi El Kalach, Revathy Venkataramanan, Ramy F. Harik, Amit P. Sheth
2024	C	`conf`	Edge-Centric Real-Time Segmentation for Autonomous Underwater Cave Exploration. ICMLA Mohammadreza Mohammadi, Adnan Abdullah, Aishneet Juneja, Ioannis M. Rekleitis, Md Jahidul Islam, Ramtin Zand
2024	J	`jnl`	Flex-TPU: A Flexible TPU with Runtime Reconfigurable Dataflow Architecture. CoRR Mohammed E. Elbtity, Peyton Chandarana, Ramtin Zand
2024	A*	`conf`	HiRISE: High-Resolution Image Scaling for Edge ML via In-Sensor Compression and Selective ROI. DAC Brendan Reidy, Sepehr Tabrizchi, Mohammadreza Mohammadi, Shaahin Angizi, Arman Roohi, Ramtin Zand
2024	J	`jnl`	HiRISE: High-Resolution Image Scaling for Edge ML via In-Sensor Compression and Selective ROI. CoRR Brendan Reidy, Sepehr Tabrizchi, Mohamadreza Mohammadi, Shaahin Angizi, Arman Roohi, Ramtin Zand
2024	A*	`conf`	Lightator: An Optical Near-Sensor Accelerator with Compressive Acquisition Enabling Versatile Image Processing. DAC Mehrdad Morsali, Brendan Reidy, Deniz Najafi, Sepehr Tabrizchi, Mohsen Imani, Mahdi Nikdast, Arman Roohi, Ramtin Zand, Shaahin Angizi
2024	J	`jnl`	Lightator: An Optical Near-Sensor Accelerator with Compressive Acquisition Enabling Versatile Image Processing. CoRR Mehrdad Morsali, Brendan Reidy, Deniz Najafi, Sepehr Tabrizchi, Mohsen Imani, Mahdi Nikdast, Arman Roohi, Ramtin Zand, Shaahin Angizi
2024	J	`jnl`	Matmul or No Matmul in the Era of 1-bit LLMs. CoRR Jinendra Malekar, Mohammed E. Elbtity, Ramtin Zand
2024	—	`conf`	Multi-Objective Neural Architecture Search for In-Memory Computing. ISVLSI Md Hasibul Amin, Mohammadreza Mohammadi, Ramtin Zand
2024	J	`jnl`	Multi-Objective Neural Architecture Search for In-Memory Computing. CoRR Md Hasibul Amin, Mohammadreza Mohammadi, Ramtin Zand
2024	J	`jnl`	Realtime Facial Expression Recognition: Neuromorphic Hardware vs. Edge AI Accelerators. CoRR Heath Smith, James Seekings, Mohammadreza Mohammadi, Ramtin Zand
2024	—	`conf`	Towards Efficient Deployment of Hybrid SNNs on Neuromorphic and Edge AI Hardware. ICONS James Seekings, Peyton Chandarana, Mahsa Ardakani, Mohammadreza Mohammadi, Ramtin Zand
2024	J	`jnl`	Towards Efficient Deployment of Hybrid SNNs on Neuromorphic and Edge AI Hardware. CoRR James Seekings, Peyton Chandarana, Mahsa Ardakani, Mohammadreza Mohammadi, Ramtin Zand
2024	J	`jnl`	ViTSen: Bridging Vision Transformers and Edge Computing With Advanced In/Near-Sensor Processing. IEEE Embed. Syst. Lett. Sepehr Tabrizchi, Brendan C. Reidy, Deniz Najafi, Shaahin Angizi, Ramtin Zand, Arman Roohi
2024	J	`jnl`	XbarSim: A Decomposition-Based Memristive Crossbar Simulator. CoRR Anzhelika Kolinko, Md Hasibul Amin, Ramtin Zand, Jason D. Bakos
2023	—	`conf`	A Novel Stochastic LSTM Model Inspired by Quantum Machine Learning. ISQED Joseph Lindsay, Ramtin Zand
2023	J	`jnl`	A Novel Stochastic LSTM Model Inspired by Quantum Machine Learning. CoRR Joseph Lindsay, Ramtin Zand
2023	—	`conf`	Application of Machine Learning for Quality Risk Factor Analysis of Electronic Assemblies. ISQED Brendan Reidy, David Duggan, Bernard Glasauer, Peng Su, Ramtin Zand
2023	C	`conf`	Caveline Detection at the Edge for Autonomous Underwater Cave Exploration and Mapping. ICMLA Mohammadreza Mohammadi, Sheng-En Huang, Titon Barua, Ioannis M. Rekleitis, Md Jahidul Islam, Ramtin Zand
2023	—	`conf`	Facial Expression Recognition at the Edge: CPU vs GPU vs VPU vs TPU. ACM Great Lakes Symposium on VLSI Mohammadreza Mohammadi, Heath Smith, Lareb Khan, Ramtin Zand
2023	J	`jnl`	Facial Expression Recognition at the Edge: CPU vs GPU vs VPU vs TPU. CoRR Mohammadreza Mohammadi, Heath Smith, Lareb Khan, Ramtin Zand
2023	—	`conf`	Heterogeneous Integration of In-Memory Analog Computing Architectures with Tensor Processing Units. ACM Great Lakes Symposium on VLSI Mohammed E. Elbtity, Brendan Reidy, Md Hasibul Amin, Ramtin Zand
2023	J	`jnl`	Heterogeneous Integration of In-Memory Analog Computing Architectures with Tensor Processing Units. CoRR Mohammed E. Elbtity, Brendan Reidy, Md Hasibul Amin, Ramtin Zand
2023	—	`conf`	IMAC-Sim: : A Circuit-level Simulator For In-Memory Analog Computing Architectures. ACM Great Lakes Symposium on VLSI Md Hasibul Amin, Mohammed E. Elbtity, Ramtin Zand
2023	J	`jnl`	IMAC-Sim: A Circuit-level Simulator For In-Memory Analog Computing Architectures. CoRR Md Hasibul Amin, Mohammed E. Elbtity, Ramtin Zand
2023	C	`conf`	Realtime Facial Expression Recognition: Neuromorphic Hardware vs. Edge AI Accelerators. ICMLA Heath Smith, James Seekings, Mohammadreza Mohammadi, Ramtin Zand
2023	A	`conf`	Work in Progress: Real-time Transformer Inference on Edge AI Accelerators. RTAS Brendan Reidy, Mohammadreza Mohammadi, Mohammed E. Elbtity, Heath Smith, Ramtin Zand
2022	J	`jnl`	A Python Framework for SPICE Circuit Simulation of In-Memory Analog Computing Circuits. CoRR Md Hasibul Amin, Mohammed E. Elbtity, Ramtin Zand
2022	J	`jnl`	APTPU: Approximate Computing Based Tensor Processing Unit. IEEE Trans. Circuits Syst. I Regul. Pap. Mohammed E. Elbtity, Peyton Chandarana, Brendan Reidy, Jason Kamran Eshraghian, Ramtin Zand
2022	—	`conf`	Energy-Efficient Deployment of Machine Learning Workloads on Neuromorphic Hardware. IGSC Peyton Chandarana, Mohammadreza Mohammadi, James Seekings, Ramtin Zand
2022	J	`jnl`	Energy-Efficient Deployment of Machine Learning Workloads on Neuromorphic Hardware. CoRR Peyton Chandarana, Mohammadreza Mohammadi, James Seekings, Ramtin Zand
2022	C	`conf`	Interconnect Parasitics and Partitioning in Fully-Analog In-Memory Computing Architectures. ISCAS Md Hasibul Amin, Mohammed E. Elbtity, Ramtin Zand
2022	J	`jnl`	Interconnect Parasitics and Partitioning in Fully-Analog In-Memory Computing Architectures. CoRR Md Hasibul Amin, Mohammed E. Elbtity, Ramtin Zand
2022	—	`conf`	MRAM-based Analog Sigmoid Function for In-memory Computing. ACM Great Lakes Symposium on VLSI Md Hasibul Amin, Mohammed E. Elbtity, Mohammadreza Mohammadi, Ramtin Zand
2022	J	`jnl`	MRAM-based Analog Sigmoid Function for In-memory Computing. CoRR Md Hasibul Amin, Mohammed E. Elbtity, Mohammadreza Mohammadi, Ramtin Zand
2022	J	`jnl`	Reliability-Aware Deployment of DNNs on In-Memory Analog Computing Architectures. CoRR Md Hasibul Amin, Mohammed E. Elbtity, Ramtin Zand
2022	J	`jnl`	Static Hand Gesture Recognition for American Sign Language using Neuromorphic Hardware. CoRR Mohammedreza Mohammadi, Peyton Chandarana, James Seekings, Sara Hendrix, Ramtin Zand
2022	J	`jnl`	Static hand gesture recognition for American sign language using neuromorphic hardware. Neuromorph. Comput. Eng. Mohammadreza Mohammadi, Peyton Chandarana, James Seekings, Sara Hendrix, Ramtin Zand
2022	J	`jnl`	Xbar-Partitioning: A Practical Way for Parasitics and Noise Tolerance in Analog IMC Circuits. IEEE J. Emerg. Sel. Topics Circuits Syst. Md Hasibul Amin, Mohammed E. Elbtity, Ramtin Zand
2021	—	`conf`	An Adaptive Sampling and Edge Detection Approach for Encoding Static Images for Spiking Neural Networks. IGSC (Workshops) Peyton Chandarana, Junlin Ou, Ramtin Zand
2021	J	`jnl`	An Adaptive Sampling and Edge Detection Approach for Encoding Static Images for Spiking Neural Networks. CoRR Peyton Chandarana, Junlin Ou, Ramtin Zand
2021	—	`conf`	An In-Memory Analog Computing Co-Processor for Energy-Efficient CNN Inference on Mobile Devices. ISVLSI Mohammed E. Elbtity, Abhishek Singh, Brendan Reidy, Xiaochen Guo, Ramtin Zand
2021	J	`jnl`	An In-Memory Analog Computing Co-Processor for Energy-Efficient CNN Inference on Mobile Devices. CoRR Mohammed E. Elbtity, Abhishek Singh, Brendan Reidy, Xiaochen Guo, Ramtin Zand
2021	J	`jnl`	Probabilistic Interpolation Recoder for Energy-Error-Product Efficient DBNs With p-Bit Devices. IEEE Trans. Emerg. Top. Comput. Hossein Pourmeidani, Shadi Sheikhfaal, Ramtin Zand, Ronald F. DeMara
2020	J	`jnl`	A Single-Cycle MLP Classifier Using Analog MRAM-based Neurons and Synapses. CoRR Ramtin Zand
2020	—	`conf`	Electrically-Tunable Stochasticity for Spin-based Neuromorphic Circuits: Self-Adjusting to Variation. MWSCAS Hossein Pourmeidani, Punyashloka Debashis, Zhihong Chen, Ronald F. DeMara, Ramtin Zand
2020	J	`jnl`	Electrically-Tunable Stochasticity for Spin-based Neuromorphic Circuits: Self-Adjusting to Variation. CoRR Hossein Pourmeidani, Punyashloka Debashis, Zhihong Chen, Ronald F. DeMara, Ramtin Zand
2020	J	`jnl`	Hardware-Algorithm Co-Design of a Compressed Fuzzy Active Learning Method. IEEE Trans. Circuits Syst. Ehsan Jokar, Sajad Haghzad Klidbary, Hadis Abolfathi, Saeed Bagheri Shouraki, Ramtin Zand, Arash Ahmadi
2020	J	`jnl`	SOT-MRAM based Sigmoidal Neuron for Neuromorphic Architectures. CoRR Brendan Reidy, Ramtin Zand
2020	C	`conf`	TSV Extrusion Morphology Classification Using Deep Convolutional Neural Networks. ICMLA Brendan Reidy, Golareh Jalilvand, Tengfei Jiang, Ramtin Zand
2020	J	`jnl`	TSV Extrusion Morphology Classification Using Deep Convolutional Neural Networks. CoRR Brendan Reidy, Golareh Jalilvand, Tengfei Jiang, Ramtin Zand
2019	—	`conf`	AQuRate: MRAM-based Stochastic Oscillator for Adaptive Quantization Rate Sampling of Sparse Signals. ACM Great Lakes Symposium on VLSI Soheil Salehi, Ramtin Zand, Alireza Zaeemzadeh, Nazanin Rahnavard, Ronald F. DeMara
2019	J	`jnl`	AQuRate: MRAM-based Stochastic Oscillator for Adaptive Quantization Rate Sampling of Sparse Signals. CoRR Soheil Salehi, Ramtin Zand, Alireza Zaeemzadeh, Nazanin Rahnavard, Ronald F. DeMara
2019	—	`conf`	Clockless Spin-based Look-Up Tables with Wide Read Margin. ACM Great Lakes Symposium on VLSI Soheil Salehi, Ramtin Zand, Ronald F. DeMara
2019	J	`jnl`	Clockless Spin-based Look-Up Tables with Wide Read Margin. CoRR Soheil Salehi, Ramtin Zand, Ronald F. DeMara
2019	J	`jnl`	Composable Probabilistic Inference Networks Using MRAM-based Stochastic Neurons. ACM J. Emerg. Technol. Comput. Syst. Ramtin Zand, Kerem Yunus Çamsari, Supriyo Datta, Ronald F. DeMara
2019	A	`conf`	HSC-FPGA. FPGA Ramtin Zand, Ronald F. DeMara
2019	J	`jnl`	MRAM-Enhanced Low Power Reconfigurable Fabric With Multi-Level Variation Tolerance. IEEE Trans. Circuits Syst. I Regul. Pap. Ramtin Zand, Ronald F. DeMara
2019	J	`jnl`	SNRA: A Spintronic Neuromorphic Reconfigurable Array for In-Circuit Training and Evaluation of Deep Belief Networks. CoRR Ramtin Zand, Ronald F. DeMara
2019	J	`jnl`	Self-Organized Sub-bank SHE-MRAM-based LLC: An energy-efficient and variation-immune read and write architecture. Integr. Soheil Salehi, Navid Khoshavi, Ramtin Zand, Ronald F. DeMara
2018	J	`jnl`	A Parity-Preserving Reversible QCA Gate with Self-Checking Cascadable Resiliency. IEEE Trans. Emerg. Top. Comput. Arman Roohi, Ramtin Zand, Shaahin Angizi, Ronald F. DeMara
2018	J	`jnl`	Composable Probabilistic Inference Networks Using MRAM-based Stochastic Neurons. CoRR Ramtin Zand, Kerem Yunus Çamsari, Supriyo Datta, Ronald F. DeMara
2018	—	`conf`	Logic-Encrypted Synthesis for Energy-Harvesting-Powered Spintronic-Embedded Datapath Design. ACM Great Lakes Symposium on VLSI Arman Roohi, Ramtin Zand, Ronald F. DeMara
2018	—	`conf`	Low-Energy Deep Belief Networks Using Intrinsic Sigmoidal Spintronic-based Probabilistic Neurons. ACM Great Lakes Symposium on VLSI Ramtin Zand, Kerem Yunus Çamsari, Steven D. Pyle, Ibrahim Ahmed, Chris H. Kim, Ronald F. DeMara
2018	—	`conf`	SNRA: A Spintronic Neuromorphic Reconfigurable Array for In-Circuit Training and Evaluation of Deep Belief Networks. ICRC Ramtin Zand, Ronald F. DeMara
2018	J	`jnl`	Survivability Modeling and Resource Planning for Self-Repairing Reconfigurable Device Fabrics. IEEE Trans. Cybern. Rashad S. Oreifej, Rawad N. Al-Haddad, Ramtin Zand, Rizwan A. Ashraf, Ronald F. DeMara
2018	—	`conf`	Synthesis of normally-off boolean circuits: An evolutionary optimization approach utilizing spintronic devices. ISQED Arman Roohi, Ramtin Zand, Ronald F. DeMara
2017	J	`jnl`	Energy-Efficient and Process-Variation-Resilient Write Circuit Schemes for Spin Hall Effect MRAM Device. IEEE Trans. Very Large Scale Integr. Syst. Ramtin Zand, Arman Roohi, Ronald F. DeMara
2017	—	`conf`	Heterogeneous Technology Configurable Fabrics for Field-Programmable Co-Design of CMOS and Spin-Based Devices. ICRC Ronald F. DeMara, Arman Roohi, Ramtin Zand, Steven D. Pyle
2017	J	`jnl`	Heterogeneous energy-sparing reconfigurable logic: spin-based storage and CNFET-based multiplexing. IET Circuits Devices Syst. Mohan Krishna Gopi Krishna, Arman Roohi, Ramtin Zand, Ronald F. DeMara
2017	J	`jnl`	R-DBN: A Resistive Deep Belief Network Architecture Leveraging the Intrinsic Behavior of Probabilistic Devices. CoRR Ramtin Zand, Kerem Yunus Çamsari, Ibrahim Ahmed, Steven D. Pyle, Chris H. Kim, Supriyo Datta, Ronald F. DeMara
2017	J	`jnl`	Voltage-Based Concatenatable Full Adder Using Spin Hall Effect Switching. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Arman Roohi, Ramtin Zand, Deliang Fan, Ronald F. DeMara
2016	J	`jnl`	Scalable Adaptive Spintronic Reconfigurable Logic Using Area-Matched MTJ Design. IEEE Trans. Circuits Syst. II Express Briefs Ramtin Zand, Arman Roohi, Soheil Salehi, Ronald F. DeMara
2015	—	`conf`	Adaptive Mitigation of Radiation-Induced Errors and TDDB in Reconfigurable Logic Fabrics. NATW Rawad N. Al-Haddad, Rashad S. Oreifej, Ramtin Zand, Abdel Ejnioui, Ronald F. DeMara
2015	C	`conf`	Reactive rejuvenation of CMOS logic paths using self-activating voltage domains. ISCAS Rizwan A. Ashraf, Ahmad Alzahrani, Navid Khoshavi, Ramtin Zand, Soheil Salehi, Arman Roohi, Mingjie Lin, Ronald F. DeMara