Design techniques and analysis of high-resolution neural recording systems targeting epilepsy focus localization. - Mahsa Shoaran; Claudio Pollo; Yusuf Leblebici; Alexandre Schmid (EMBC, 2012)

Compressive multichannel cortical signal recording. - Mahdad Hosseini Kamal; Mahsa Shoaran; Yusuf Leblebici; Alexandre Schmid; Pierre Vandergheynst (ICASSP, 2013)

A low-power area-efficient compressive sensing approach for multi-channel neural recording. - Mahsa Shoaran; Mariazel Maqueda Lopez; Vijaya Sankara Rao Pasupureddi; Yusuf Leblebici; Alexandre Schmid (ISCAS, 2013)

A novel compressive sensing architecture for high-density biological signal recording. - Mahsa Shoaran; Hossein Afshari; Alexandre Schmid (BioCAS, 2014)

In-vivo validation of a compact inductively-powered neural recording interface. - Mahsa Shoaran; Gürkan Yilmaz; Ramesh Periasamy; Stefanie Seiler; Stefano Di Santo; Claudio Pollo; Kaspar Schindler; Hans Rudolf Widmer; Catherine Dehollain; Alexandre Schmid (BioCAS, 2014)

Tunnel FET-based ultra-low power, low-noise amplifier design for bio-signal acquisition. - Huichu Liu; Mahsa Shoaran; Xueqing Li 002; Suman Datta; Alexandre Schmid; Vijaykrishnan Narayanan (ISLPED, 2014)

Compact Low-Power Cortical Recording Architecture for Compressive Multichannel Data Acquisition. - Mahsa Shoaran; Mahdad Hosseini Kamal; Claudio Pollo; Pierre Vandergheynst; Alexandre Schmid (IEEE Trans. Biomed. Circuits Syst., 2014)

Structured sampling and recovery of iEEG signals. - Luca Baldassarre; Cosimo Aprile; Mahsa Shoaran; Yusuf Leblebici; Volkan Cevher (CAMSAP, 2015)

Jitter analysis and measurement in subthreshold source-coupled differential ring oscillators. - Mahsa Shoaran; Armin Tajalli; Massimo Alioto; Yusuf Leblebici (ISCAS, 2015)

A Fully Integrated IC With 0.85-μW/Channel Consumption for Epileptic iEEG Detection. - Mahsa Shoaran; Claudio Pollo; Kaspar Schindler; Alexandre Schmid (IEEE Trans. Circuits Syst. II Express Briefs, 2015)

Analysis and Characterization of Variability in Subthreshold Source-Coupled Logic Circuits. - Mahsa Shoaran; Armin Tajalli; Massimo Alioto; Alexandre Schmid; Yusuf Leblebici (IEEE Trans. Circuits Syst. I Regul. Pap., 2015)

Hardware-friendly seizure detection with a boosted ensemble of shallow decision trees. - Mahsa Shoaran; Masoud Farivar; Azita Emami (EMBC, 2016)

Learning-Based Near-Optimal Area-Power Trade-offs in Hardware Design for Neural Signal Acquisition. - Cosimo Aprile; Luca Baldassarre; Vipul Gupta; Juhwan Yoo; Mahsa Shoaran; Yusuf Leblebici; Volkan Cevher (ACM Great Lakes Symposium on VLSI, 2016)

A 16-channel 1.1mm2 implantable seizure control SoC with sub-μW/channel consumption and closed-loop stimulation in 0.18µm CMOS. - Mahsa Shoaran; Masoud Shahshahani; Masoud Farivar; Joyel Almajano; Amirhossein Shahshahani; Alexandre Schmid; Anatol Bragin; Yusuf Leblebici; Azita Emami (VLSI Circuits, 2016)

Resting Tremor Detection in Parkinson's Disease with Machine Learning and Kalman Filtering. - Lin Yao 002; Peter Brown; Mahsa Shoaran (BioCAS, 2018)

A 41.2 nJ/class, 32-Channel On-Chip Classifier for Epileptic Seizure Detection. - Milad Taghavi; Benyamin Allahgholizadeh Haghi; Masoud Farivar; Mahsa Shoaran; Azita Emami (EMBC, 2018)

Towards Adaptive Deep Brain Stimulation in Parkinson'S Disease: Lfp-Based Feature Analysis and Classification. - Taige Wang; Mahsa Shoaran; Azita Emami (ICASSP, 2018)

Energy-Efficient Classification for Resource-Constrained Biomedical Applications. - Mahsa Shoaran; Benyamin Allahgholizadeh Haghi; Milad Taghavi; Masoud Farivar; Azita Emami-Neyestanak (IEEE J. Emerg. Sel. Topics Circuits Syst., 2018)

Adaptive Learning-Based Compressive Sampling for Low-power Wireless Implants. - Cosimo Aprile; Kerim Türe; Luca Baldassarre; Mahsa Shoaran; Gürkan Yilmaz; Franco Maloberti; Catherine Dehollain; Yusuf Leblebici; Volkan Cevher (IEEE Trans. Circuits Syst. I Regul. Pap., 2018)

Enhanced Classification of Individual Finger Movements with ECoG. - Lin Yao 002; Mahsa Shoaran (ACSSC, 2019)

Hardware-Efficient Seizure Detection. - Bingzhao Zhu; Mahsa Shoaran (ACSSC, 2019)

Cost-Efficient Classification for Neurological Disease Detection. - Bingzhao Zhu; Milad Taghavi; Mahsa Shoaran (BioCAS, 2019)

Hardware Complexity Analysis of Deep Neural Networks and Decision Tree Ensembles for Real-time Neural Data Classification. - Milad Taghavi; Mahsa Shoaran (NER, 2019)

Neural variability quenching during decision-making: Neural individuality and its prestimulus complexity. - Annemarie Wolff; Lin Yao 002; Javier Gomez-Pilar; Mahsa Shoaran; Ning Jiang 001; Georg Northoff (NeuroImage, 2019)

Mental Fatigue Prediction from Multi-Channel ECOG Signal. - Lin Yao 002; Jonathan L. Baker; Jae-Wook Ryou; Nicholas D. Schiff; Keith P. Purpura; Mahsa Shoaran (ICASSP, 2020)

Closed-Loop Neural Interfaces with Embedded Machine Learning. - Bingzhao Zhu; Uisub Shin; Mahsa Shoaran (ICECS, 2020)

ResOT: Resource-Efficient Oblique Trees for Neural Signal Classification. - Bingzhao Zhu; Masoud Farivar; Mahsa Shoaran (IEEE Trans. Biomed. Circuits Syst., 2020)

An 8.7 μJ/class. FFT accelerator and DNN-based configurable SoC for Multi-Class Chronic Neurological Disorder Detection. - Zain Taufique; Bingzhao Zhu; Gianluca Coppola; Mahsa Shoaran; Wala Saadeh; Muhammad Awais Bin Altaf (A-SSCC, 2021)

Unsupervised Domain Adaptation for Cross-Subject Few-Shot Neurological Symptom Detection. - Bingzhao Zhu; Mahsa Shoaran (NER, 2021)

Tree in Tree: from Decision Trees to Decision Graphs. - Bingzhao Zhu; Mahsa Shoaran (NeurIPS, 2021)

Closed-Loop Neural Prostheses With On-Chip Intelligence: A Review and a Low-Latency Machine Learning Model for Brain State Detection. - Bingzhao Zhu; Uisub Shin; Mahsa Shoaran (IEEE Trans. Biomed. Circuits Syst., 2021)

A Low Power Multi-Class Migraine Detection Processor Based on Somatosensory Evoked Potentials. - Zain Taufique; Bingzhao Zhu; Gianluca Coppola; Mahsa Shoaran; Muhammad Awais Bin Altaf (IEEE Trans. Circuits Syst. II Express Briefs, 2021)

Challenges and Opportunities of Edge AI for Next-Generation Implantable BMIs. - Mohammad Ali Shaeri; Arshia Afzal; Mahsa Shoaran (AICAS, 2022)

An Accurate and Hardware-Efficient Dual Spike Detector for Implantable Neural Interfaces. - Xiaorang Guo; Mohammad Ali Shaeri; Mahsa Shoaran (BioCAS, 2022)

A 16-Channel 60µW Neural Synchrony Processor for Multi-Mode Phase-Locked Neurostimulation. - Uisub Shin; Cong Ding 004; Laxmeesha Somappa; Virginia Woods; Alik S. Widge; Mahsa Shoaran (CICC, 2022)

A 256-Channel 0.227µJ/class Versatile Brain Activity Classification and Closed-Loop Neuromodulation SoC with 0.004mm2-1.51 µW/channel Fast-Settling Highly Multiplexed Mixed-Signal Front-End. - Uisub Shin; Laxmeesha Somappa; Cong Ding 004; Yashwanth Vyza; Bingzhao Zhu; Alix Trouillet; Stéphanie P. Lacour; Mahsa Shoaran (ISSCC, 2022)

Identifying uncertainty states during wayfinding in indoor environments: An EEG classification study. - Bingzhao Zhu; Jesus G. Cruz-Garza; Qi Yang; Mahsa Shoaran; Saleh Kalantari (Adv. Eng. Informatics, 2022)

NeuralTree: A 256-Channel 0.227μJ/class Versatile Neural Activity Classification and Closed-Loop Neuromodulation SoC. - Uisub Shin; Cong Ding 004; Bingzhao Zhu; Yashwanth Vyza; Alix Trouillet; Emilie C. M. Revol; Stéphanie P. Lacour; Mahsa Shoaran (CoRR, 2022)

A 16-Channel Low-Power Neural Connectivity Extraction and Phase-Locked Deep Brain Stimulation SoC. - Uisub Shin; Cong Ding 004; Virginia Woods; Alik S. Widge; Mahsa Shoaran (CoRR, 2022)

NeuralTree: A 256-Channel 0.227-μJ/Class Versatile Neural Activity Classification and Closed-Loop Neuromodulation SoC. - Uisub Shin; Cong Ding 004; Bingzhao Zhu; Yashwanth Vyza; Alix Trouillet; Emilie C. M. Revol; Stéphanie P. Lacour; Mahsa Shoaran (IEEE J. Solid State Circuits, 2022)

A 0.21-ps FOM Capacitor-Less Analog LDO with Dual-Range Load Current for Biomedical Applications. - Yasemin Engür; Mahsa Shoaran (BioCAS, 2023)

Enhancing Epileptic Seizure Detection with EEG Feature Embeddings. - Arman Zarei; Bingzhao Zhu; Mahsa Shoaran (BioCAS, 2023)

XTab: Cross-table Pretraining for Tabular Transformers. - Bingzhao Zhu; Xingjian Shi; Nick Erickson; Mu Li 003; George Karypis; Mahsa Shoaran (ICML, 2023)

A Hardware-Efficient EMG Decoder with an Attractor-based Neural Network for Next-Generation Hand Prostheses. - Mohammad Kalbasi; Mohammad Ali Shaeri; Vincent Alexandre Mendez; Solaiman Shokur; Silvestro Micera; Mahsa Shoaran (AICAS, 2024)

A 49.8mm2 Fully Integrated, 1.5m Transmission-Range, High-Data-Rate IR-UWB Transmitter for Brain Implants. - Cong Ding 004; Mingxiang Gao; Anja K. Skrivervik; Mahsa Shoaran (CICC, 2024)

Intelligent Neural Interfaces: An Emerging Era in Neurotechnology. - Mahsa Shoaran; Uisub Shin; Mohammad Ali Shaeri (CICC, 2024)

Method for Synthetic Generation of LFP Data for Testing of Feature Extraction Algorithms*. - Heather J. Breidenbach; Virginia Woods; Uisub Shin; Evan M. Dastin-van Rijn; Mahsa Shoaran; Alik S. Widge (EMBC, 2024)

REST: Efficient and Accelerated EEG Seizure Analysis through Residual State Updates. - Arshia Afzal; Grigorios Chrysos 002; Volkan Cevher; Mahsa Shoaran (ICML, 2024)

33.3 MiBMI: A 192/512-Channel 2.46mm² Miniaturized Brain-Machine Interface Chipset Enabling 31-Class Brain-to-Text Conversion Through Distinctive Neural Codes. - Mohammad Ali Shaeri; Uisub Shin; Amitabh Yadav; Riccardo Caramellino; Gregor Rainer; Mahsa Shoaran (ISSCC, 2024)

A 49.8mm2 Fully Integrated, 1.5m Transmission-Range, High-Data-Rate IR-UWB Transmitter for Brain Implants. - Cong Ding 004; Mingxiang Gao; Anja K. Skrivervik; Mahsa Shoaran (CoRR, 2024)

Intelligent and Miniaturized Neural Interfaces: An Emerging Era in Neurotechnology. - Mahsa Shoaran; Uisub Shin; Mohammad Ali Shaeri (CoRR, 2024)

Hardware-Efficient EMG Decoding for Next-Generation Hand Prostheses. - Mohammad Kalbasi; Mohammad Ali Shaeri; Vincent Alexandre Mendez; Solaiman Shokur; Silvestro Micera; Mahsa Shoaran (CoRR, 2024)

A 2.46-mm2 Miniaturized Brain-Machine Interface (MiBMI) Enabling 31-Class Brain-to-Text Decoding. - Mohammad Ali Shaeri; Uisub Shin; Amitabh Yadav; Riccardo Caramellino; Gregor Rainer; Mahsa Shoaran (IEEE J. Solid State Circuits, 2024)

Linear Attention for Efficient Bidirectional Sequence Modeling. - Arshia Afzal; Elías Abad-Rocamora; Leyla Naz Candogan; Pol Puigdemont; Francesco Tonin; Yongtao Wu; Mahsa Shoaran; Volkan Cevher (CoRR, 2025)

MT-NAM: An Efficient and Adaptive Model for Epileptic Seizure Detection. - Arshia Afzal; Volkan Cevher; Mahsa Shoaran (CoRR, 2025)

Machine-Learning-Powered Neural Interfaces for Smart Prosthetics and Diagnostics. - Mohammad Ali Shaeri; Jinhan Liu; Mahsa Shoaran (CoRR, 2025)