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ORCIDMuhammad Bin Altaf
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2020 – today
- 2024
[i1]Zain Taufique, Muhammad Awais Bin Altaf, Antonio Miele, Pasi Liljeberg, Anil Kanduri:
Characterizing Accuracy Trade-offs of EEG Applications on Embedded HMPs. CoRR abs/2402.09867 (2024)- 2023
- [j11]Gul Hameed Khan, Nadeem Ahmad Khan, Muhammad Awais Bin Altaf
, Qammer H. Abbasi:
A Shallow Autoencoder Framework for Epileptic Seizure Detection in EEG Signals. Sensors 23(8): 4112 (2023) - [c47]Muhammad Sheeraz, Carson Failor, Austin Cable, Nadeem Ahmad Khan, Emmanuel M. Drakakis, Wala Saadeh, Muhammad Awais Bin Altaf:
Flexible Wearable Biopatches for Physiological Monitoring using Dry Thin Gold Film Electrodes. BioCAS 2023: 1-5 - [c46]Gul Hameed Khan, Nadeem Ahmad Khan, Wala Saadeh, Muhammad Awais Bin Altaf:
Using Sparse Representation of EEG Signal from a Shallow Sparse Autoencoder for Epileptic Seizure Prediction. BIOSIGNALS 2023: 125-132 - [c45]Muhammad Sheeraz, Wala Saadeh, Muhammad Awais Bin Altaf:
A Wearable EEG Acquisition Device With Flexible Silver Ink Screen Printed Dry Sensors. ISCAS 2023: 1-5 - [c44]Muhammad Sheeraz, Atif Innayat, Muhammad Usman Nadeem, Carson Failor, Nadeem Ahmad Khan, Wala Saadeh, Muhammad Awais Bin Altaf:
Flexible EEG Headband with Artifact Reduction and Continuous Electrode Skin Impedance Monitoring for Neurological Disorders. MWSCAS 2023: 288-292 - 2022
- [c43]Muhammad Sheeraz, Abdul Rehman Aslam, Nauman Hafeez, Hadi Heidari, Muhammad Awais Bin Altaf:
A Wearable High Blood Pressure Classification Processor Using Photoplethysmogram Signals through Power Spectral Density Features. AICAS 2022: 198-201 - [c42]Gul Hameed Khan, Nadeem Ahmad Khan, Muhammad Awais Bin Altaf:
Shallow Sparse Autoencoder Based Epileptic Seizure Prediction. BIBM 2022: 2349-2356 - [c41]Abdul Muneeb, Mubashir Ali, Muhammad Awais Bin Altaf:
A 2.7μJ/classification Machine-Learning based Approximate Computing Seizure Detection SoC. ISCAS 2022: 55-59 - [c40]Muhammad Sheeraz, Abdul Rehman Aslam, Muhammad Awais Bin Altaf:
Multiphysiological Shallow Neural Network-Based Mental Stress Detection System for Wearable Environment. ISCAS 2022: 2309-2313 - [c39]Abdul Rehman Aslam, Muhammad Awais Bin Altaf, Wala Saadeh:
A 73 μW single channel Photoplethysmography-based Blood Pressure Estimation Processor. ISCAS 2022: 2318-2322 - [c38]Naureen Mujtaba, Ishtiaq Rasool Khan, Nadeem Ahmad Khan, Muhammad Awais Bin Altaf:
Efficient Flicker-Free Tone mapping of HDR Videos. MMSP 2022: 1-6 - [c37]Muhammad Sheeraz, Abdul Rehman Aslam, Muhammad Awais Bin Altaf, Hadi Heidari:
A Closed-Loop Ear Wearable EEG Measurement Device with Realtime Electrode Skin Impedance Measurement. NEWCAS 2022: 231-235 - [c36]Naureen Mujtaba, Ishtiaq Rasool Khan, Nadeem Ahmad Khan, Muhammad Awais Bin Altaf:
A Fast HDR Image TMO based on a Simplified Eye Sensitivity Model. SiPS 2022: 1-6 - 2021
- [j10]Abdul Rehman Aslam, Muhammad Awais Bin Altaf:
A 10.13µJ/Classification 2-Channel Deep Neural Network Based SoC for Negative Emotion Outburst Detection of Autistic Children. IEEE Trans. Biomed. Circuits Syst. 15(5): 1039-1052 (2021) - [j9]Zain Taufique, Bingzhao Zhu, Gianluca Coppola, Mahsa Shoaran, Muhammad Awais Bin Altaf:
A Low Power Multi-Class Migraine Detection Processor Based on Somatosensory Evoked Potentials. IEEE Trans. Circuits Syst. II Express Briefs 68(5): 1720-1724 (2021) - [c35]Abdul Rehman Aslam, Nauman Hafeez, Hadi Heidari, Muhammad Awais Bin Altaf:
An 8.62 μ W Processor for Autism Spectrum Disorder Classification using Shallow Neural Network. AICAS 2021: 1-4 - [c34]Zain Taufique, Bingzhao Zhu, Gianluca Coppola, Mahsa Shoaran, Wala Saadeh, Muhammad Awais Bin Altaf:
An 8.7 μJ/class. FFT accelerator and DNN-based configurable SoC for Multi-Class Chronic Neurological Disorder Detection. A-SSCC 2021: 1-3 - [c33]Gul Hameed Khan, Nadeem Ahmad Khan, Muhammad Awais Bin Altaf, Mujeeb Ur Rehman:
Classifying Single Channel Epileptic EEG data based on Sparse Representation using Shallow Autoencoder. EMBC 2021: 643-646 - [c32]Muhammad Rizwan Khan, Wala Saadeh, Muhammad Awais Bin Altaf:
Wearable Low-power Closed-loop System for Tremor Detection and Stimulation using Electromyography (EMG). ICECS 2021: 1-4 - [c31]Shiza Shakeel, Niha Afzal, Gul Hameed Khan, Nadeem Ahmad Khan, Mujeeb Ur Rehman Abid, Muhammad Awais Bin Altaf:
EDM: A multiclassification support system to identify seizure type using K Nearest Neighbor. ICECS 2021: 1-4 - [c30]Muhammad Furqan Ayub, Muhammad Awais Bin Altaf:
A 77.8-dB DR, 114.2 fJ/Step Amplifier-Less Current-to-Digital Converter. ISCAS 2021: 1-5 - [c29]Zain Taufique, Anil Kanduri, Muhammad Awais Bin Altaf, Pasi Liljeberg:
Approximate Feature Extraction for Low Power Epileptic Seizure Prediction in Wearable Devices. NorCAS 2021: 1-7 - 2020
- [j8]Abdul Rehman Aslam, Muhammad Awais Bin Altaf:
An On-Chip Processor for Chronic Neurological Disorders Assistance Using Negative Affectivity Classification. IEEE Trans. Biomed. Circuits Syst. 14(4): 838-851 (2020) - [c28]Nadeem Ahmad Khan, Gul Hameed Khan, Malik Anas Ahmad, Muhammad Awais Bin Altaf, M. Osama Tarar:
The Extended i-NSS: An Intelligent EEG Tool for Diagnosing and Managing Epilepsy. BIOSTEC (Selected Papers) 2020: 243-262 - [c27]Abdul Rehman Aslam, Talha Iqbal, Mahnoor Aftab, Wala Saadeh, Muhammad Awais Bin Altaf:
A10.13uJ/classification 2-channel Deep Neural Network-based SoC for Emotion Detection of Autistic Children. CICC 2020: 1-4 - [c26]Mahnoor Aftab, Syed Adeel Ali Shah, Abdul Rehman Aslam, Wala Saadeh, Muhammad Awais Bin Altaf:
Design of Energy-Efficient Electrocorticography Recording System for Intractable Epilepsy in Implantable Environments. ISCAS 2020: 1-5 - [c25]Wala Saadeh, Fatima Hameed Khan, Muhammad Awais Bin Altaf:
Design and Implementation of a Machine Learning Based EEG Processor for Accurate Estimation of Depth of Anesthesia. ISCAS 2020: 1
2010 – 2019
- 2019
- [j7]Wala Saadeh, Fatima Hameed Khan, Muhammad Awais Bin Altaf:
Design and Implementation of a Machine Learning Based EEG Processor for Accurate Estimation of Depth of Anesthesia. IEEE Trans. Biomed. Circuits Syst. 13(4): 658-669 (2019) - [c24]Hafiz Talha Iqbal, Bilal Majeed, Uzair Khan, Muhammad Awais Bin Altaf:
An Infrared High classification Accuracy Hand-held Machine Learning based Breast-Cancer Detection System. BioCAS 2019: 1-4 - [c23]Muhammad Arham Sohail, Zain Taufique, Syed Muhammad Abubakar, Wala Saadeh, Muhammad Awais Bin Altaf:
An ECG Processor for the Detection of Eight Cardiac Arrhythmias with Minimum False Alarms. BioCAS 2019: 1-4 - [c22]Syed Ali Zamin, Muhammad Awais Bin Altaf, Wala Saadeh:
A Single Channel EEG-based All AASM Sleep Stages Classifier for Neurodegenerative Disorder. BioCAS 2019: 1-4 - [c21]Abdul Rehman Aslam, Muhammad Awais Bin Altaf:
An 8 Channel Patient Specific Neuromorphic Processor for the Early Screening of Autistic Children through Emotion Detection. ISCAS 2019: 1-5 - [c20]Arish Adil, Hassan Abid, Nadir Najib, Usama Jillani, Wala Saadeh, Muhammad Awais Bin Altaf:
Wearable ECG Measurement System for Detection of Cardiac Arrhythmia. UCET 2019: 1-4 - 2018
- [c19]Syed Muhammad Abubakar, Muhammad Rizwan Khan, Wala Saadeh, Muhammad Awais Bin Altaf:
A Wearable Auto-Patient Adaptive ECG Processor for Shockable Cardiac Arrhythmia. A-SSCC 2018: 267-268 - [c18]Fatima Hameed Khan, Usman Ashraf, Muhammad Awais Bin Altaf, Wala Saadeh:
A Patient-Specific Machine Learning based EEG Processor for Accurate Estimation of Depth of Anesthesia. BioCAS 2018: 1-4 - [c17]Muhammad Rizwan Khan, Muhammad Talha Tariq, Farasat Munir, Muhammad Awais Bin Altaf:
Spur Gears and Leadscrew Based, Efficient and Flexible Infusion System Design. BioCAS 2018: 1-4 - [c16]Bilal Majeed, Hafiz Talha Iqbal, Uzair Khan, Muhammad Awais Bin Altaf:
A Portable Thermogram based Non-contact Non-invasive Early Breast-Cancer Screening Device. BioCAS 2018: 1-4 - [c15]Syed Muhammad Abubakar, Wala Saadeh, Muhammad Awais Bin Altaf:
A wearable long-term single-lead ECG processor for early detection of cardiac arrhythmia. DATE 2018: 961-966 - 2017
- [j6]Wala Saadeh, Muhammad Awais Bin Altaf, Haneen Alsuradi, Jerald Yoo:
A Pseudo OFDM With Miniaturized FSK Demodulation Body-Coupled Communication Transceiver for Binaural Hearing Aids in 65 nm CMOS. IEEE J. Solid State Circuits 52(3): 757-768 (2017) - [j5]Wala Saadeh, Muhammad Awais Bin Altaf, Haneen Alsuradi, Jerald Yoo:
A 1.1-mW Ground Effect-Resilient Body-Coupled Communication Transceiver With Pseudo OFDM for Head and Body Area Network. IEEE J. Solid State Circuits 52(10): 2690-2702 (2017) - [c14]Wala Saadeh, Muhammad Awais Bin Altaf, Muhammad Shoaib Bin Altaf:
A high accuracy and low latency patient-specific wearable fall detection system. BHI 2017: 441-444 - [c13]Muhammad Awais Bin Altaf, Wala Saadeh:
A 0.21 μJ patient-specific REM/Non-REM sleep classifier for Alzheimer patients. BioCAS 2017: 1-4 - [c12]Muhammad Rizwan Khan, Wala Saadeh, Muhammad Awais Bin Altaf:
A low complexity patient-specific threshold based accelerator for the Grand-mal seizure disorder. BioCAS 2017: 1-4 - [c11]Muhammad Adeel Pasha, Momin Uppal, Muhammad Hassan Ahmed, Muhammad Aimal Rehman, Muhammad Awais Bin Altaf:
Towards Design and Automation of Hardware-Friendly NOMA Receiver with Iterative Multi-User Detection. DAC 2017: 60:1-60:6 - [c10]Wala Saadeh, Muhammad Awais Bin Altaf, Saad Adnan Butt:
A wearable neuro-degenerative diseases detection system based on gait dynamics. VLSI-SoC 2017: 1-6 - [c9]Wala Saadeh, Muhammad Awais Bin Altaf:
A Wearable Neuro-Degenerative Diseases Classification System Using Human Gait Dynamics. VLSI-SoC (Selected Papers) 2017: 72-91 - 2016
- [j4]Muhammad Awais Bin Altaf, Jerald Yoo:
A 1.83 µJ/Classification, 8-Channel, Patient-Specific Epileptic Seizure Classification SoC Using a Non-Linear Support Vector Machine. IEEE Trans. Biomed. Circuits Syst. 10(1): 49-60 (2016) - [j3]Chen Zhang, Muhammad Awais Bin Altaf, Jerald Yoo:
Design and Implementation of an On-Chip Patient-Specific Closed-Loop Seizure Onset and Termination Detection System. IEEE J. Biomed. Health Informatics 20(4): 996-1007 (2016) - [c8]Wala Saadeh, Haneen Alsuradi, Muhammad Awais Bin Altaf, Jerald Yoo:
A 1.1mW hybrid OFDM ground effect-resilient body coupled communication transceiver for head and body area network. A-SSCC 2016: 201-204 - [c7]Muhammad Awais Bin Altaf, Chen Zhang, Ljubomir Radakovic, Jerald Yoo:
Design of energy-efficient on-chip EEG classification and recording processors for wearable environments. ISCAS 2016: 1126-1129 - 2015
- [j2]Muhammad Awais Bin Altaf, Chen Zhang, Jerald Yoo:
A 16-Channel Patient-Specific Seizure Onset and Termination Detection SoC With Impedance-Adaptive Transcranial Electrical Stimulator. IEEE J. Solid State Circuits 50(11): 2728-2740 (2015) - [c6]Muhammad Awais Bin Altaf, Jerald Yoo:
A 2.45μW patient-specific non-invasive transcranial electrical stimulator with an adaptive skin-electrode impedance monitor. BioCAS 2015: 1-4 - [c5]Chen Zhang, Muhammad Awais Bin Altaf, Jerald Yoo:
A 16-channel, 1-second latency patient-specific seizure onset and termination detection processor with dual detector architecture and digital hysteresis. CICC 2015: 1-4 - [c4]Muhammad Awais Bin Altaf, Chen Zhang, Jerald Yoo:
21.8 A 16-ch patient-specific seizure onset and termination detection SoC with machine-learning and voltage-mode transcranial stimulation. ISSCC 2015: 1-3 - 2013
- [j1]Jerald Yoo, Long Yan, Dina El-Damak, Muhammad Bin Altaf, Ali H. Shoeb, Anantha P. Chandrakasan:
An 8-Channel Scalable EEG Acquisition SoC With Patient-Specific Seizure Classification and Recording Processor. IEEE J. Solid State Circuits 48(1): 214-228 (2013) - [c3]Muhammad Awais Bin Altaf, Jerald Yoo:
A 1.52 uJ/classification patient-specific seizure classification processor using Linear SVM. ISCAS 2013: 849-852 - [c2]Muhammad Awais Bin Altaf, Judyta Tillak, Yonatan Kifle, Jerald Yoo:
A 1.83µJ/classification nonlinear support-vector-machine-based patient-specific seizure classification SoC. ISSCC 2013: 100-101 - 2012
- [c1]Jerald Yoo, Long Yan, Dina El-Damak, Muhammad Bin Altaf, Ali H. Shoeb, Hoi-Jun Yoo, Anantha P. Chandrakasan:
An 8-channel scalable EEG acquisition SoC with fully integrated patient-specific seizure classification and recording processor. ISSCC 2012: 292-294
Coauthor Index
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