Semi-reversible quantization based data hiding using missing samples recovery technique. - Ali Ameri; Mohammad J. Saberian; Mohammad Ali Akhaee; Farokh Marvasti (ICT, 2009)

Time-mode reconstruction iir filters for ΣΔ phase modulation applications. - Ali Ameri; Gordon W. Roberts (ACM Great Lakes Symposium on VLSI, 2011)

A comparison between force and position control strategies in myoelectric prostheses. - Ali Ameri; Kevin B. Englehart; Philip A. Parker (EMBC, 2012)

Real-time, simultaneous myoelectric control using visual target-based training paradigm. - Ali Ameri; Ernest Nlandu Kamavuako; Erik J. Scheme; Kevin B. Englehart; Philip A. Parker (Biomed. Signal Process. Control., 2014)

Real-Time, Simultaneous Myoelectric Control Using Force and Position-Based Training Paradigms. - Ali Ameri; Erik J. Scheme; Ernest Nlandu Kamavuako; Kevin B. Englehart; Philip A. Parker (IEEE Trans. Biomed. Eng., 2014)

A 37.5-45. lGHz Superharmonic-Coupled QVCO with Tunable Phase Accuracy in 28nm Bulk CMOS. - Luya Zhang; Ali Ameri; Yi-An Li; Nai-Chung Kuo; Mekhail Anwar; Ali M. Niknejad (A-SSCC, 2018)

A Microwave-Optical Biosensor with 5.4ppm Label/Reference-free Long-term Stability and Single Photon Sensitivity in 28nm Bulk CMOS. - Luya Zhang; Ali Ameri; Mekhail Anwar; Ali M. Niknejad (CICC, 2019)

A 114GHz Biosensor with Integrated Dielectrophoresis for Single Cell Characterization. - Ali Ameri; Luya Zhang; Asmaysinh Gharia; Ali M. Niknejad; Mekhail Anwar (VLSI Circuits, 2019)

A neural network model for preeclampsia prediction based on risk factors. - Masoumeh Mirzamoradi; Atefeh Ebrahimi; Ali Ameri; Masoumeh Abaspour; Hamid Mokhtari Torshizi (Int. J. Medical Eng. Informatics, 2022)

Compression of EMG Signals Using Deep Convolutional Autoencoders. - Kimia Dinashi; Ali Ameri; Mohammad Ali Akhaee; Kevin B. Englehart; Erik J. Scheme (IEEE J. Biomed. Health Informatics, 2022)

20.10 A 200GHz 200-Pixel 2D Near-Field Imager for Biomedical Applications. - Ali Ameri; Jun-Chau Chien; Ali Niknejad (ISSCC, 2025)

Numerical dependency analysis (NDA): a new method for estimating the statistical dependence (not correlation) of two variables. - Abolfazl Zanghaei; Hassan Doosti; Ali Ameri (Knowl. Inf. Syst., 2025)