Dr. Ahmed Soltan

Director of Nanoelectronics Integrated Systems Center (NISC)

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Ahmed Soltan received the B.Sc. and M.Sc. degrees from the University of Cairo, Cairo, Egypt, in 2004 and 2008, respectively. He received the Ph.D. degree in electronics and communication from Cairo University in 2014. He received the 2014–2016 best thesis award from Cairo for his Ph.D. thesis. He worked on circuit and system design and modelling in the fractional order domain during his Ph.D. research. He is currently an associate professor at Nile University, Egypt. He was a Research Associate and EDA/CAD Specialist with the School of Engineering, Newcastle University, Newcastle upon Tyne, U.K. He was a Teacher Assistant with the faculty of Engineering, Fayoum University, Fayoum, Egypt, for nine years and was an R&D Firmware Engineer for eight years. He also was an R&D Manager for an LED company at Qatar for one year and a half. His current research interests include smart energy harvesting systems and power management for biomedical implantable devices and lab-on-chip systems.

He is interested in the thermal impact of the implantable devices on human tissues, embedded system design for lab-on-chip system, the investigation of fractional circuits and systems, specifically in fractional order analog filters for signal processing, and fractional order modelling for biomedical applications. Dr. Soltan’s research aims to establish a new healthcare monitoring system and diagnosis on the fly by the development of autonomous devices. Dr. Soltan published more than 60 papers in a prestige journals. He got the award the best thesis award from Cairo University for 2014 and he got the State Encouragement Award in Egypt 2019 for his contribution in the field of biomedical research in Egypt and worldwide. He is won a Fellowship from Royal Academy of Engineering in Leaders in Innovations (LIF) and he is a fellow from the higher Academy of Education in the UK.

Recent Publications

Current-Mode Multiplier Accumulator Design using a Memristor-Transistor Crossbar Architecture

This paper discusses the implementation of a Multiplier Accumulator (MAC) design using memristor and crossbar architecture. MAC consists of an array of memristors alongside transistors making a cell that works as a switch (i.e., turned ON or OFF). When a cell is selected, it adds the current in the array path, followed by a current mirror circuit amplified to determine the accumulated current. A

Circuit Theory and Applications

A Novel Power-Aware Task Scheduling for Energy Harvesting-Based Wearable Biomedical Devices Using FPA

Power management and saving in energy harvesting-based biomedical wearable devices are mandatory to ensure prolonged and stable operation under a stringent power budget. Thus, power-aware task scheduling can play a key role in minimizing energy consumption to improve system durability while maintaining device functionality. This paper proposes a novel biosensor task scheduling for optimizing

Circuit Theory and Applications

Energy Harvesting Schemes for Wearable Devices

For the specifications of Wireless Body Area Networks (WBANs), eHealth systems, and wearable devices, batteries are not desirable. They maximize the sensor nodes’ size and need to be replaced every few years through human interference. Energy harvesting is now being studied as the primary source of electricity for wearable devices. Several initiatives have succeeded in using energy harvesting to

Circuit Theory and Applications

Study of Energy Harvesters for Wearable Devices

Energy harvesting was and still an important point of research. Batteries have been utilized for a long time, but they are now not compatible with the downsizing of technology. Also, their need to be recharged and changed periodically is not very desirable, therefore over the years energy harvesting from the environment and the human body have been investigated. Three energy harvesting methods

Artificial Intelligence
Circuit Theory and Applications
Innovation, Entrepreneurship and Competitiveness

A 26.24uW 9.26-ENOB Dynamic RAM Based SAR ADC for Biomedical Applications

This work introduces a new successive approximation register circuit (SAR) for SAR analog to digital converter (ADC) based on Dynamic Random Access Memory (DRAM) cells. Based on the proposed DRAM based SAR ADC and a differential capacitive DAC, a 10-bit 2V ADC is designed in 0.18um CMOS technology. The proposed SAR is compared to traditional SAR to verify that the proposed SAR decreases the power

Circuit Theory and Applications

Empirical Temperature Model of Self-Directed Channel Memristor

Memristors are used in many innovative research areas. However, the temperature has a strong effect on mem-ristance, which results in malfunctions. Although commercial a memristor is available, its thermal characteristics are still under-explored. This paper presents a temperature model of a self-directed channel memristor. The experimental results of measuring high-resistive-state memristance

Circuit Theory and Applications

Fully balanced LED driving circuit for optogenetics stimulation

Implantable probes with built-in light emitters have a promising potential for a range of applications, in particular optogenetic neural stimulation. However, where soft encapsulation methods are used, lifetime will be a function of the quality of encapsulation and the driving mechanism. We have found that a balanced driving mechanism - whereby the integral voltage on encapsulated contacts, can

Circuit Theory and Applications
Software and Communications

Current-Mode Carry-Free Multiplier Design using a Memristor-Transistor Crossbar Architecture

Multipliers are a major energy and delay contributor in modern compute-intensive applications due to their complex logic architecture. As such, designing multipliers with reduced energy and faster speed has remained a thoroughgoing challenge. This paper presents a novel, carry-free multiplier, which is suitable for a new-generation of energy-constrained applications. The multiplier circuit

Circuit Theory and Applications

Ultrasound intra body multi node communication system for bioelectronic medicine

The coming years may see the advent of distributed implantable devices to support bioelectronic medicinal treatments. Communication between implantable components and between deep implants and the outside world can be challenging. Percutaneous wired connectivity is undesirable and both radiofrequency and optical methods are limited by tissue absorption and power safety limits. As such, there is a

Circuit Theory and Applications
Research Project

Cheap and Effective Device for Diagnosis on the Fly for Glucose Level in Human Body

Objective/ Contributions: A first prototype of a glucose device that can be connected to the 4G network. Computer-based software for monitoring the patient’s condition and alerting the system in case of emergency. The correlation between sensor impedance and its sensitivity and developing an auto-calibration based on that. Design and implementation of impedance spectroscopy for the sensor
Research Project

Fractional order Image Processing Platform for Retinal Pigmontosa Patients

Objective/Contributions: Investigation and categorization of the different methodologies in fractional operator discretization. Investigate the effect of the number of memory samples on the performance of different discretization schemes and recommend the scheme which gives the best performance for the least number of memory samples. Discuss the stability analysis of the discretized operators and
Research Project

IoT-based Platform for Wearable Devices for Continuous Healthcare Monitoring

The ultimate goal of this project is to achieve diagnosis on the fly and predict abnormal health conditions and alert people before the condition happens. In order to achieve this, the following objectives should be fulfilled: Implementing wearable self-powered painless devices for healthcare monitoring. Implementing AI algorithm for predicting abnormal health conditions. Implementing painless
Research Project

An Underwater AR based System for Marine Life Detection and Classification for Divers and Tourists

Objective/Contributions: Collecting and annotating an extensive dataset of fish images representing the fish species in the red sea. Building a machine learning model capable of detecting and classifying fish species from a real-time video. Building a proof-of-concept prototype for the AR hardware that is capable of capturing the live video of marine life, running the classification model, and
Research Project

Pre-emergency Alert IoT System-based on Wearable Devices for Diabetic Patient

According to World Health Organization (WHO), there are more than 400 million diabetic adults worldwide. In Egypt, only there are about 8 million diabetic people, and the diabetes prevalence rate is estimated to be 13.3% by 2025, according to WHO. In most cases, the diabetic person requires regular visits to the hospital for health checks. However, due to the COVID pandemic, it has become risky
Research Project

Low-Power Artificial Intelligence Framework for Internet of Things Applications

The Internet of Things (IoT) is penetrating many facets of our daily life with the proliferation of intelligent services and applications empowered by artificial intelligence (AI). Due to the massive scalability of modern IoT networks and increased data privacy, traditional AI algorithms require centralized data collecting and processing, which may not be practical in real-world application
Research Project

Multi-purposes Reading IoT-based Smart Platform

Objectives/Contributions: The project aims to introduce a solution for a multi-protocol environment. The proposed device that represents the ultimate goal of the project will act as an interpreter between different communication media, representing the project’s main deliverable. Furthermore, we propose to have a smart device to estimate the channel performance and decide the optimum communication