Pages

Media

Opportunities

Research

About

Professor Salama's research interests cover a variety of interdisciplinary aspects of electronic circuit design and semiconductors' fabrication. He is engaged in developing devices, circuits, systems, and algorithms to enable inexpensive analytical platforms for a variety of industrial, environmental, and biomedical applications. Recently he has been working on neuromorphic circuits for brain emulation. Current Projects Memristor Based Systems and Device Modeling Memristor (M) is believed to be the fourth fundamental two terminals passive element, beside the Resistor (R), the Capacitor (C) and

Patents

2020 Liquid dielectric electrostatic MEMS switch and method of fabrication thereof MA Zidan, J Kosel, KN Salama US Patent 10,559,443 https://scholar.google.com/scholar?oi=bibs&cluster=13113062854431330159&btnI=1&hl=en 2019 RF-to-DC power converters for wireless powering MH Ouda, KN Salama US Patent 10,312,743 Sensors including redox-active selector complexes TM Swager, S Savagatrup, V Schroder, M He, S Lin, XX Zhang, ... US Patent App. 16/132,336 2018 Selective laser etching or ablation for fabrication of devices U Buttner, KN Salama, C Sapsanis US Patent App. 15/741,451 Methods of making

Research

Current Projects Memristor Based Systems and Device Modeling Memristor (M) is believed to be the fourth fundamental two terminals passive element, beside the Resistor (R), the Capacitor (C) and the Inductor (L). The existence of such element was postulated by Leon Chua in 1971, but without finding its passive realization. In 1978 Chua and Kang extends the idea to memristive devices and systems . Biosensors and Lab-On-Chip Abdulaziz alhoshany, Shilpa Sivashankar, Yousof Mashraei, Hesham Omran and Khaled Nabil Salama "A Biosensor-CMOS Platform and Integrated Readout Circuit in 0.18-μm CMOS

Info

Publications

Publications

Welcome to Sensors Publications section Journals This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or

Front Page

Sensors Research Group

Professor Khaled Salama leads the so-called Sensors research group, which stands for Sensors Research Group Professor Salama's research interests cover a variety of interdisciplinary aspects of electronic circuit design and semiconductors' fabrication. He is engaged in developing devices, circuits, systems, and algorithms to enable inexpensive analytical platforms for a variety of industrial, environmental, and biomedical applications. Recently he has been working on neuromorphic circuits for brain emulation.

Other

Chemical Sensors

Published or in press: Bio-Inspired carbon monoxide sensors with Voltage-Activated Sensitivity, Angew. Chem. Int. Ed. 2017, xx, xxxx Ayalew Assen, Omar YASSINE, Osama Shekhah, Mohamed Eddaoudi, and Khaled Salama," MOFs for the Sensitive Detection of Ammonia: Deployment of fcu-MOF Thin-Films as Effective Chemical Capacitive Sensors." ACS sensors, accepted 2017. Muhammad Fahad Farooqui , Muhammad Akram Karimi, Khaled Nabil Salama and Atif Shamim, 3D-Printed Disposable Wireless Sensors with Integrated Microelectronics for Large Area Environmental Monitoring" Advanced Materials Technologies, 2017

Conference Proceedings

This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. ©20xx IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for

Digital Chaos Generator

A parametric Verilog implementation for a piecewise-based chaotic system. The digital implementation is very light are requires very small on-ship area, and very useful for digital PRNG and encryption systems. Feel free to use/modify these codes as you see fit. Any publications (codes, papers, technical reports,..) in which our codes (in their original or a modified format) have been used should should cite the following references. M. Affan Zidan, A. G. Radwan and K. N. Salama, “ Random Number Generation Based on Digital Differential Chaos,” 54th IEEE International Midwest Symposium on

Electronics

Mrinal K. Hota, Qiu Jiang, Yousof Mashraei, Khaled N. Salama, and Husam N. Alshareef, Fractal Electrochemical Microsupercapacitors , Advanced Electronic Materials, 2017 DOI: 10.1002/aelm.201700185 Hota, Mrinal; Alshammari, Fwzah; Salama, Khaled; Alshareef, Husam, Transparent Flash Memory using Single Ta2O5 Layer for both Charge Trapping and Tunneling Dielectrics, ACS Applied Materials & Interfaces, 2017 , 9 (26), pp 21856–21863 H. Omran, Abdulaziz Alhoshany, H. Alahmadi, and K. N. Salama, A 33fJ/Step SAR Capacitance-to-Digital Converter Using a Chain of Inverter-Based Amplifiers" IEEE

Fractional Order Circuits

The invention of the fractional order circuit elements concept has opened the doors to numerous applications with exceptional performance, which were not achievable for integer order standard circuit elements like inductors and capacitors. In contrast to the traditional elements , a fractional element is a function of the parameter value (C or L) and the fractional order a , which brings in immense freedom and versatility towards design and applications. The concept has already found its utility in many applications of electromagnetics, mechanics, signal processing, bioengineering, agriculture

Memristor Model

Feel free to use/modify these codes as you see fit. Any publications (codes, papers, technical reports,..) in which our codes (in their original or a modified format) have been used should should cite the following references.) A. Radwan, M. A Zidan, K. N. Salama, “ HP Memristor Mathematical Model for Periodic Signals and DC,” IEEE International Midwest Symposium on Circuits and Systems, pp. 861-864, Seattle, USA, August 2010. A. Radwan, M. A Zidan, K. N. Salama, “ On the Mathematical Modeling of Memristors,” 22nd International Conference on Microelectronics (ICM 2010), pp. 284-287, Cairo

Memristor Model/ Stochastic Memristor Model

For the Memristor model: (Feel free to use/modify these codes as you see fit. Any publications (codes, papers, technical reports,..) in which our codes (in their original or a modified format) have been used should should cite the following references.) A. Radwan, M. A Zidan, K. N. Salama, “ HP Memristor Mathematical Model for Periodic Signals and DC,” IEEE International Midwest Symposium on Circuits and Systems, pp. 861-864, Seattle, USA, August 2010. A. Radwan, M. A Zidan, K. N. Salama, “ On the Mathematical Modeling of Memristors,” 22nd International Conference on Microelectronics (ICM 2010

Point of Care Diagnostic Biosensors

Diagnostics become more important in third world countries as the people have limited access to medical care systems and have less awareness of healthy lifestyles. There is certainly a need for on-site detection in the life science fields; and for point-of-care diagnostics in rural areas of underdeveloped countries so that even an unskilled person can use the device to determine the presence of disease-causing markers. Currently, diagnostics commonly employ long assay time, trained personnel, sophisticated instruments, and require financial support. A good approach to overcome this current

RF MEMS Capacitors and Variable Capacitors

The most recent 4G devices are designed with specific emphasis on the data traffic challenge. Because there is an increasing number of bands, all the circuits and devices related to the design of wireless systems need to be enhanced including the power amplifiers, filters, and antennas. One of the very promising ways to enable this is to use tunable RF tunable devices based on microelectromechanical systems (MEMS) technology, and the RF MEMS variable capacitor (or switch) poses itself as a very strong candidate for this purpose. In fact, some commercial systems utilizing RF MEMS passive

Stochastic Computing

Understanding the brain behavior is currently gaining a huge attention worldwide. At the sensors lab, students under the supervision of Prof. K.N. Salama are exploring new computing technologies miming the way our brains process and store data. Using memristors to build neural networks reduces the required area significantly compared to classical circuits. ReRAM have also gained a lot of interest. Resistive memory devices are very promising candidates replace the current storage technologies, due to their very high density, fast access time, and retainability. However, there are numerous

Stochastic Memristor Model

We developed a stochastic model of memristor devices. Innate stochasticity is modeled in a circuit compatible format and incorporated into models of threshold based memristors covering a wide set of designs. Experimental fitting to fabricated devices highlights the modeling accuracy and the generalized form of behavior. Feel free to use/modify these codes as you see fit. Any publications (codes, papers, technical reports,..) in which our codes (in their original or a modified format) have been used should cite the following references. Rawan Naous, Maruan Al-Shedivat, and Khaled Nabil Salama

Sub-mm scale wireless data link

Glaucoma is an eye disease, which is the third leading cause of blindness globally . Like many other eye diseases, intraocular eye pressure is o ne of the most informa tive symptoms that can lead to successful treatment . Continuous wireless monitoring of intraocular eye pressure is highly desirable from a clinical perspective. The Figure shows the self-powered implantable system and its location inside the eye. It senses the pressure using its integrated sensors, stores them in its local memory, and transmits all the data to the external readout system through a wireless link on

Weather Station

AirGo - Advancing Urban Air Quality Monitoring A Hybrid Mobile-Stationary Approach AirGo offers a cutting-edge solution to urban weather monitoring and air pollution challenges. Equipped with advanced sensors, self-powered weather stations strategically collect crucial atmospheric data like temperature, humidity, pressure, wind speed, wind direction, and gas concentrations. This real-time information empowers city planners, administrators, and emergency services to make informed decisions for ventilation, emergency responses, city design, and environmental impact assessment. This technology

Wireless Batteryless Sensors

Wireless powering enabled enormous applications by removing the last physical connection needed to supply power to wireless systems. So, it enabled a key platform for battery-less, biomedical implantable devices that can be implanted once with no need for further surgeries to replace the sensor or its battery. RFID applications are the most common systems utilizing wireless powering. An On-Chip RF Energy Harvesting module is proposed to deliver power to wireless sensors from incoming RF signals.The proposed RF energy harvesting module includes highly efficient RF rectifier, DC voltage limiter