Hani H. Saleh, Ph.D.
Affiliations: | 2009 | Electrical Engineering | University of Texas at Austin, Austin, Texas, U.S.A. |
Area:
Electronics and Electrical EngineeringGoogle:
"Hani Saleh"Parents
Sign in to add mentor| Earl E. Swartzlander | grad student | 2009 | UT Austin | |
| (Fused floating-point arithmetic for DSP.) | ||||
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Publications
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| Halawani Y, Kilani D, Hassan E, et al. (2021) RRAM-based CAM combined with time-domain circuits for hyperdimensional computing. Scientific Reports. 11: 19848 |
| Zayer F, Mohammad B, Saleh H, et al. (2020) RRAM Crossbar-Based In-Memory Computation of Anisotropic Filters for Image Preprocessingloa Ieee Access. 8: 127569-127580 |
| Elsayed N, Saleh H, Mohammad B, et al. (2020) A 28-GHz Cascode Inverse Class-D Power Amplifier Utilizing Pulse Injection in 22-nm FDSOI Ieee Access. 8: 97353-97360 |
| Tolba MF, Saleh H, Mohammad B, et al. (2020) Enhanced FPGA realization of the fractional-order derivative and application to a variable-order chaotic system Nonlinear Dynamics. 99: 3143-3154 |
| Kilani D, Mohammad B, Alhawari M, et al. (2020) Analysis and characterization of leakage reduction methodologies for stacking, body biasing and DLS in 65 nm CMOS technology Analog Integrated Circuits and Signal Processing. 102: 1-8 |
| Mahmoud A, Alhawari M, Mohammad B, et al. (2019) A Gain-Controlled, Low-Leakage Dickson Charge Pump for Energy-Harvesting Applications Ieee Transactions On Very Large Scale Integration Systems. 27: 1114-1123 |
| Tekeste T, Saleh H, Mohammad B, et al. (2019) Ultra-Low Power QRS Detection and ECG Compression Architecture for IoT Healthcare Devices Ieee Transactions On Circuits and Systems I-Regular Papers. 66: 669-679 |
| Mohammad K, Tekeste T, Mohammad B, et al. (2019) Embedded memory options for ultra-low power IoT devices Microelectronics Journal. 93: 104634 |
| Kilani D, Alhawari M, Mohammad B, et al. (2019) Cascaded power management unit characterization for TEG-based IoT devices in 65 nm CMOS Microelectronics Journal. 90: 285-296 |
| Kifle YH, Alhawari M, Bou-Sleiman S, et al. (2019) A 230 μW built-in on-chip auto-calibrating RF amplitude detector in 65 nm CMOS Analog Integrated Circuits and Signal Processing. 101: 175-185 |