Mehrdad Nourani focuses on Electronic engineering, System on a chip, Built-in self-test, System testing and Signal integrity. In general Electronic engineering study, his work on Logic synthesis often relates to the realm of Dissipation, thereby connecting several areas of interest. His System on a chip research is classified as research in Embedded system.
In his study, Automatic test pattern generation, Computer hardware and Test compression is inextricably linked to Design for testing, which falls within the broad field of Embedded system. The Built-in self-test study combines topics in areas such as Energy consumption, Algorithm, Reduction and Shift register. In Feature extraction, Mehrdad Nourani works on issues like Adaptive filter, which are connected to Artificial intelligence.
His primary areas of investigation include Electronic engineering, Artificial intelligence, Embedded system, Feature extraction and Pattern recognition. His Electronic engineering research includes themes of Transistor, Digital electronics and Electrical engineering. His Artificial intelligence research integrates issues from Machine learning, Computer vision and Electroencephalography.
In the field of Embedded system, his study on System on a chip overlaps with subjects such as System testing. His biological study spans a wide range of topics, including Signal integrity, Automatic test pattern generation and Integer programming. His Feature extraction research is multidisciplinary, relying on both Fault, Speech recognition, Wavelet transform and Signal processing.
His primary areas of study are Artificial intelligence, Feature extraction, Pattern recognition, Electroencephalography and Cluster analysis. His studies deal with areas such as Machine learning and Computer vision as well as Artificial intelligence. His Feature extraction study integrates concerns from other disciplines, such as Cross-validation, Signal processing, Fault and Wavelet, Wavelet transform.
His study in the field of Class also crosses realms of Dimension. His work on Epileptic seizure is typically connected to Personalization as part of general Electroencephalography study, connecting several disciplines of science. Mehrdad Nourani focuses mostly in the field of Frequency domain, narrowing it down to topics relating to Speech recognition and, in certain cases, Dimensionality reduction.
Mehrdad Nourani mostly deals with Artificial intelligence, Feature extraction, Fault, Electroencephalography and Pattern recognition. His Artificial intelligence research incorporates elements of Machine learning, Speech recognition, Computer vision and Identification. His study explores the link between Feature extraction and topics such as Frequency domain that cross with problems in Dimensionality reduction, Acoustic emission, Wavelet transform and Wavelet.
Mehrdad Nourani interconnects Algorithm, Electronic engineering, Power MOSFET and Signal in the investigation of issues within Fault. The study incorporates disciplines such as Estimator and Condition monitoring in addition to Electronic engineering. Many of his research projects under Electroencephalography are closely connected to Dimension with Dimension, tying the diverse disciplines of science together.
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Progress and challenges in intelligent vehicle area networks
Miad Faezipour;Mehrdad Nourani;Adnan Saeed;Sateesh Addepalli.
Communications of The ACM (2012)
A Motion-Tolerant Adaptive Algorithm for Wearable Photoplethysmographic Biosensors
Rasoul Yousefi;Mehrdad Nourani;Sarah Ostadabbas;Issa Panahi.
biomedical and health informatics (2014)
Nine-coded compression technique for testing embedded cores in SoCs
M. Tehranipoor;M. Nourani;K. Chakrabarty.
IEEE Transactions on Very Large Scale Integration Systems (2005)
RL-huffman encoding for test compression and power reduction in scan applications
Mehrdad Nourani;Mohammad H. Tehranipour.
ACM Transactions on Design Automation of Electronic Systems (2005)
Low-Transition Test Pattern Generation for BIST-Based Applications
M. Nourani;M. Tehranipoor;N. Ahmed.
IEEE Transactions on Computers (2008)
A Patient-Adaptive Profiling Scheme for ECG Beat Classification
M Faezipour;A Saeed;S C Bulusu;M Nourani.
international conference of the ieee engineering in medicine and biology society (2010)
Bed posture classification for pressure ulcer prevention
R. Yousefi;S. Ostadabbas;M. Faezipour;M. Farshbaf.
international conference of the ieee engineering in medicine and biology society (2011)
Low-power single- and double-edge-triggered flip-flops for high-speed applications
S.H. Rasouli;A. Khademzadeh;A. Afzali-Kusha;M. Nourani.
IEE Proceedings - Circuits, Devices and Systems (2005)
Multi-Biosignal Analysis for Epileptic Seizure Monitoring.
Diana Cogan;Javad Birjandtalab;Mehrdad Nourani;Jay H Harvey.
International Journal of Neural Systems (2017)
Automated seizure detection using limited-channel EEG and non-linear dimension reduction
Javad Birjandtalab;Maziyar Baran Pouyan;Diana Cogan;Mehrdad Nourani.
Computers in Biology and Medicine (2017)
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