AlaaDdin Al-Shidaifat
Al al-Bayt University, Middle East University, Inje University
Research areas: Engineering · Electrical and Electronic Engineering · Analog and Mixed-Signal Circuit Design · Advanced Memory and Neural Computing · Low-power high-performance VLSI design
0000-0003-4406-4543
About
Dr. Alaaddin Al-Shidaifat is an Assistant Professor in the Department of Information Systems at the Faculty of Prince Al-Hussein Bin Abdullah II for Information Technology, Al al-Bayt University, Al-Mafraq, Jordan. He holds a Ph.D. in Nanoscience and Engineering from Inje University (2020), specializing in Artificial Intelligence, an M.Eng. in Computer Engineering from Inje University, South Korea (2015), and a B.S. in Software Engineering from Al-Hussein Bin Talal University, Jordan (2011). He previously served as an Assistant Professor in the Department of Computer Science/Artificial Intelligence at the College of Information Technology, Middle East University, Amman, Jordan, and was formerly a Research Professor in Inje University’s Department of Nanoscience and Engineering. His research interests include medical image processing, computer vision, computational sensing, smart structures, integrated circuits, and neuromorphic applications.
Employment
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Al al-Bayt University Assistant Professor2026 - Present
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Middle East University Assistant Professor2024 - 2026
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Inje University Research Professor2020 - 2024
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (27)
- A 28 nm CMOS low-noise amplifier with novel redundant noise cancellation technique beyond ultra-wideband for 6G-based wireless systems Save
- Versatility Investigation of Grown Titanium Dioxide Nanoparticles and Their Comparative Charge Storage for Memristor Devices Save
- A high-performance and ultra-efficient fully programmable fuzzy membership function generator using FinFET technology for image enhancement Save
- An artificial bridge circuit approach between two biological neurons using nanoscale topologies towards paralytic disorders Save
- Engineering Ga2O3 phases with MIST-CVD for Gas Sensing Applications Save
- A High-Sensitive High-Input Impedance CMOS Front-End Amplifier for Neural Spike Detection Save
- A Low-Power Highly Efficient DC–DC Buck Converter Using PWM Technique Save
- An Ultralow-Power CMOS Integrated and Fire Neuron for Neuromorphic Computing Save
- High-Performance and Energy-Efficient Leaky Integrate-and-Fire Neuron and Spike Timing-Dependent Plasticity Circuits in 7nm FinFET Technology Save
- Logic Gates Using Memristor-Aided Logic for Neuromorphic Applications Save
- Memristors: A Missing Element is a Boon Toward the Development of Neuromorphic Computing and AI Save
- Efficient Memristive Circuit Design of Neural Network-Based Associative Memory for Pavlovian Conditional Reflex Save
- High-Performance Graphene FET Integrated Front-End Amplifier Using Pseudo-resistor Technique for Neuro-prosthetic Diagnosis Save
- Ultra-Efficient and Robust Auto-Nonvolatile Schmitt Trigger-Based Latch Design Using Ferroelectric CNTFET Technology Save
- Drug and gene delivery by nanocarriers: Drug delivery process, in brief, using different oxides such as zinc, iron, calcium, polymeric, peptides, and in-vitro drug delivery process by silicon oxide (SiOx) and titanium dioxide (TiO2) nanodots (NDs) Save
- Analysis of Chaotic True Random Number Generator Using 0.18um CMOS Process Save
- Analysis of Step-Down Converter with Low Ripple for Smart IoT Devices Save
- Breaking the Limits in Ternary Logic: An Ultra-Efficient Auto-Backup/Restore Nonvolatile Ternary Flip-Flop Using Negative Capacitance CNTFET Technology Save
- A 90nm PVT Tolerant Current Mode Frequency Divider with Wide Locking Range Save
- Chaotic True Random Number Generator for Secure Communication Applications Save