Journals and Conference Papers:
Bingzhao Zhu and Mahsa Shoaran,”Tree in Tree: from Decision trees to Decision Graphs“, 2021 Conference on Neural Information Processing Systems (NeurIPS), 2021 (accepted)
Bingzhao Zhu, Uisub Shin, Mahsa Shoaran, “Closed-Loop Neural Prostheses with On-Chip Intelligence: A Review and A Low-Latency Machine Learning Model for Brain State Detection,” IEEE Transactions on Biomedical Circuits and Systems (IEEE TBioCAS), 2021 (Invited Paper)
Bingzhao Zhu and Mahsa Shoaran, “Unsupervised Domain Adaptation for Cross-Subject, Few-Shot Neurological Disorder Detection,” International IEEE/EMBS Conference on Neural Engineering (IEEE NER), 2021
Zain Taufique, Bingzhao Zhu, Gianluca Coppola, Mahsa Shoaran, and Muhammad Awais Bin Altaf, “A Low Power Multi-Class Migraine Detection Processor based on Somatosensory Evoked Potentials“, IEEE Transactions on Circuit and Systems II: Express Brief (IEEE TCAS-II), 2021
Zain Taufique, Bingzhao Zhu, Gianluca Coppola, Mahsa Shoaran, Wala Saadeh, Muhammad Awais Bin Altaf, “An 8.7µj/class. FFT Accelerator and DNN-Based Configurable SoC for Multi-Class Chronic Neurological Disorder Detection“, IEEE Asian Solid-State Circuits Conference (IEEE A-SSCC), 2021
Bingzhao Zhu, Uisub Shin, Mahsa Shoaran, “Closed-Loop Neural Interfaces with Embedded Machine Learning,” 27th IEEE International Conference on Electronics, Circuits and Systems (IEEE ICECS), 2020 (Invited Paper)
Lin Yao, Jonathan L Baker, Nicholas D Schiff, Keith Purpura, Mahsa Shoaran, “Predicting task performance from biomarkers of mental fatigue in global brain activity,” Journal of Neural Engineering, 2020
Bingzhao Zhu, Masoud Farivar, Mahsa Shoaran, “ResOT: Resource-Efficient Oblique Trees for Neural Signal Classification,” IEEE Transactions on Biomedical Circuits and Systems (IEEE TBioCAS), 2020 (Invited Paper)
Lin Yao, Peter Brown, Mahsa Shoaran, “Improved Detection of Parkinsonian Resting Tremor with Feature Engineering and Kalman Filtering,” Clinical Neurophysiology, 2020
Lin Yao, Jonathan Baker, Jae-Wook Ryou, Nicholas Schiff, Keith Purpura, Mahsa Shoaran, “ Mental Fatigue Prediction from Multi-Channel ECoG Signal”, 45th International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Barcelona, Spain, 2020
Bingzhao Zhu, Milad Taghavi, Mahsa Shoaran, “ Cost-Efficient Classification for Neurological Disease Detection,” IEEE Biomedical Circuits and Systems Conference (BioCAS), Nara, Japan, 2019
Lin Yao and Mahsa Shoaran, “ Enhanced Prediction of Individual Finger Movements with Temporal Dynamics of ECoG,” 53rd Asilomar Conference on Signals, Systems and Computers, 2019
Bingzhao Zhu and Mahsa Shoaran, “ Hardware-Efficient Seizure Detection,” 53rd Asilomar Conference on Signals, Systems and Computers, 2019
Bingzhao Zhu, Gianluca Coppola, Mahsa Shoaran, “Migraine Classification using Somatosensory Evoked Potentials,” Cephalalgia, 39(9):1143-1155, 2019
Milad Taghavi and Mahsa Shoaran, “Hardware Complexity Analysis of Deep Neural Networks and Decision Tree Ensembles for Real-time Neural Dara Classification,” IEEE EMBS Conference on Neural Engineering (IEEE NER), San Francisco, 2019
A Wolff, L Yao, J Gomez-Pilar, M Shoaran, N Jiang, G Northoff, “Neural variability quenching during decision-making: Neural individuality and its prestimulus complexity,” 192: 1-14, NeuroImage, 2019
Lin Yao, Peter Brown, Mahsa Shoaran, “Resting Tremor Detection in Parkinson’s Disease with Machine Learning and Kalman Filtering,” IEEE Biomedical Circuits and Systems Conference (IEEE BioCAS), Cleveland, Ohio, 2018
Mahsa Shoaran, Benyamin A. Haghi, Milad Taghavi, Masoud Farivar, Azita Emami, “Energy-Efficient Classification for Resource-Constrained Biomedical Applications” IEEE Journal on Emerging and Selected Topics in Circuits and Systems (IEEE JETCAS), vol. 8, no. 4, pp. 693-707, 2018
Cosimo Aprile, Kerim Ture, Luca Baldassarre, Mahsa Shoaran, Gurkan Yilmaz, Franco Maloberti, Catherine Dehollain, Yusuf Leblebici, Volkan Cevher, “Adaptive Learning-Based Compressive Sampling for Low-power Wireless Implants,” IEEE Transactions on Circuits and Systems I: Regular Papers (TCAS-I), vol. 65, no. 11, pp. 3929-3941, 2018
Milad Taghavi, Benyamin A. Haghi, Masoud Farivar, Mahsa Shoaran, Azita Emami, “A 41.2 nJ/class, 32- Channel On-Chip Classifier for Epileptic Seizure Detection,” International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Honolulu, HI, 2018
Taige Wang, Mahsa Shoaran, Azita Emami, “Towards Adaptive Deep Brain Stimulation in Parkinson’s Disease: LFP-based Feature Analysis and Classification,” IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Calgary, Canada, 2018
Mahsa Shoaran, Benyamin A. Haghi, Masoud Farivar, Azita Emami, “Efficient Feature Extraction and Classification Methods in Neural Interfaces,” Winter Bridge on Frontiers of Engineering, National Academy of Engineering (NAE), , vol. 47, no. 4, 2017
Mahsa Shoaran, Masoud Farivar, Azita Emami, “Low-power and Miniaturized Seizure Control Devices for Epilepsy,” International Conference for Technology and Analysis of Seizures (ICTALS), Minneapolis, MN, 2017 (best paper award)
Mahsa Shoaran, Masoud Farivar, Azita Emami, “Hardware-Friendly Seizure Detection with a Boosted Ensemble of Shallow Decision Trees,” International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Orlando, Florida, Aug. 2016
Mahsa Shoaran, Masoud Shahshahani, Masoud Farivar, Joyel Almajano, Amirhossein Shahshahani, Alexandre Schmid, Anatol Bragin, Yusuf Leblebici, Azita Emami, “A 16-Channel 1.1mm² Implantable Seizure Control SoC with Sub-µWChannel Consumption and Closed-Loop Stimulation in 0.18µm CMOS,” IEEE Symposium on VLSI Circuits (VLSI Circuits), Honolulu, HI, Jun. 2016
Cosimo Aprile, Luca Baldassarre, Vipul Gupta, Juhwan Yoo, Mahsa Shoaran, Yusuf Leblebici, Volkan Cevher, “Learning-Based Near-Optimal Area-Power Trade-offs in Hardware Design for Neural Signal Acquisition,” Proceedings of the 26th Great Lakes Symposium on VLSI (GLSVLSI), Boston, May. 2016
Mahsa Shoaran, Claudio Pollo, Kaspar Schindler, Alexandre Schmid, “A Fully-Integrated IC with 0.85-µW/Channel Consumption for Epileptic iEEG Detection,” IEEE Transactions on Circuits and Systems II: Express Briefs (IEEE TCAS-II), vol. 62, no. 2, pp. 114-118, 2015
Mahsa Shoaran, Armin Tajalli, Massimo Alioto, Alexandre Schmid, Yusuf Leblebici, “Analysis and Characterization of Variability in Subthreshold Source-Coupled Logic Circuits,” IEEE Transactions on Circuits and Systems I: Regular Papers (TCAS-I), vol. 62, no. 2, pp. 458-467, 2015
Mahsa Shoaran, Armin Tajalli, Massimo Alioto, Yusuf Leblebici, “Jitter Analysis and Measurement in Subthreshold Source-Coupled Differential Ring Oscillators,” IEEE International Symposium on Circuits and Systems (ISCAS), Lisbon, Portugal, May. 2015
Luca Baldassarre, Cosimo Aprile, Mahsa Shoaran, Yusuf Leblebici, Volkan Cevher, “Structured Sampling and Recovery of iEEG Signals,” IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), Cancun, Mexico, 2015
Mahsa Shoaran, Mahdad Hosseini Kamal, Claudio Pollo, Pierre Vandergheynst, Alexandre Schmid, “Compact Low-Power Cortical Recording Architecture for Compressive Multichannel Data Acquisition,” IEEE Transactions on Biomedical Circuits and Systems (TBioCAS), vol. 8, no. 6, pp. 857-870, 2014
Mahsa Shoaran, Hossein Afshari, Alexandre Schmid, “A Novel Compressive Sensing Architecture for High-Density Biological Signal Recording,” IEEE Biomedical Circuits and Systems Conference (BioCAS), pp. 13-16, Lausanne, Switzerland, Oct. 2014
Mahsa Shoaran, Gurkan Yilmaz, Ramesh Periasamy, Stefanie Seiler, Stefano Di Santo, Claudio Pollo, Kaspar Schindler, Hans Rudolf Widmer, Catherine Dehollain, Alexandre Schmid, “In-Vivo Validation of a Compact Inductively-Powered Neural Recording Interface,” IEEE Biomedical Circuits and Systems Conference (BioCAS), pp. 360-363, Lausanne, Switzerland, Oct. 2014
Huichu Liu, Mahsa Shoaran, Xueqing Li, Suman Datta, Alexandre Schmid, Vijaykrishnan Narayanan, “Tunnel FET-Based Ultra-Low Power, Low-Noise Amplifier Design for Bio-signal Acquisition,” International Symposium on Low Power Electronics and Design (ISLPED), La Jolla, CA, USA, 2014
Mahsa Shoaran and Alexandre Schmid, “System and Circuit Design for High-Density iEEG Recording and Epileptic Seizure Detection,” Workshop on Biomedical Microelectronics and Translational Systems Research, Switzerland, 2014
Mahdad Hosseini Kamal, Mahsa Shoaran, Yusuf Leblebici, Alexandre Schmid, Pierre Vandergheynst, “Compressive Multichannel Cortical Signal Recording,” International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 4305-4309, Vancouver, Canada, 2013
Mahsa Shoaran, Mariazel Maqueda Lopez, Vijaya Pasupureddi, Yusuf Leblebici, Alexandre Schmid, “A Low-Power Area-Efficient Compressive Sensing Approach for Multi-Channel Neural Recording,” IEEE International Symposium on Circuits and Systems (ISCAS), pp. 2191-2194, Beijing, China, 2013
Mahsa Shoaran, Claudio Pollo, Yusuf Leblebici, Alexandre Schmid, “Design techniques and analysis of high-resolution neural recording systems targeting epilepsy focus localization,” International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 5150-5153, San Diego, CA, USA, Aug. 2012
Claudio Pollo, Mahsa Shoaran, Yusuf Leblebici, Andre Mercanzini, Catherine Dehollain, Alexandre Schmid, “The Future of Intracranial EEG Recording in Epilepsy: a Technological Issue?,” Epileptologie, vol. 29, pp. 114-119, 2012
Book Chapters and Patents:
Mahsa Shoaran, Benyamin A. Haghi, Masoud Farivar, Azita Emami, “ Efficient Feature Extraction and Classification Methods in Neural Interfaces,” Chapter in Frontiers of Engineering: Reports on Leading-Edge Engineering, the National Academy Press, 2017
Mahsa Shoaran and Alexandre Schmid, “ A Power-Efficient Compressive Sensing Platform for Cortical Implants,” Chapter in Advances in Analog Circuit Design, edited by Kofi Makinwa, Andrea Baschirott, and Pieter Harpe, Springer, 2016
Mahsa Shoaran, Mahdad Hosseini Kamal, Alexandre Schmid, “Compact Low-Power Cortical Recording Architecture for Compressive Multichannel Data Acquisition,” US Patent, P2763US00
Huichu Liu, Ramesh Vaddi, Vijaykrishnan Narayanan, Suman Datta, Moon Seok Kim, Xueqing Li, Alexandre Schmid, Mahsa Shoaran, Unsuk Heo, “Low Power Nanoelectronics,” US Patent 20150333534